searchservice.json

{
  "swagger": "2.0",
  "info": {
    "title": "SearchServiceClient",
    "description": "Client that can be used to manage and query indexes and documents, as well as manage other resources, on a search service.",
    "version": "2020-06-30-Preview",
    "x-ms-code-generation-settings": {
      "useDateTimeOffset": true
    }
  },
  "x-ms-parameterized-host": {
    "hostTemplate": "{endpoint}",
    "useSchemePrefix": false,
    "parameters": [
      {
        "$ref": "#/parameters/EndpointParameter"
      }
    ]
  },
  "consumes": [
    "application/json"
  ],
  "produces": [
    "application/json"
  ],
  "paths": {
    "/datasources('{dataSourceName}')": {
      "put": {
        "tags": [
          "DataSources"
        ],
        "operationId": "DataSources_CreateOrUpdate",
        "x-ms-examples": {
          "SearchServiceCreateOrUpdateDataSource": {
            "$ref": "./examples/SearchServiceCreateOrUpdateDataSource.json"
          }
        },
        "description": "Creates a new datasource or updates a datasource if it already exists.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Update-Data-Source"
        },
        "parameters": [
          {
            "name": "dataSourceName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the datasource to create or update."
          },
          {
            "name": "dataSource",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndexerDataSource"
            },
            "description": "The definition of the datasource to create or update."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/PreferHeaderParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexerDataSource"
            }
          },
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexerDataSource"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "delete": {
        "tags": [
          "DataSources"
        ],
        "operationId": "DataSources_Delete",
        "x-ms-examples": {
          "SearchServiceDeleteDataSource": {
            "$ref": "./examples/SearchServiceDeleteDataSource.json"
          }
        },
        "description": "Deletes a datasource.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Delete-Data-Source"
        },
        "parameters": [
          {
            "name": "dataSourceName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the datasource to delete."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "204": {
            "description": ""
          },
          "404": {
            "description": ""
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "get": {
        "tags": [
          "DataSources"
        ],
        "operationId": "DataSources_Get",
        "x-ms-examples": {
          "SearchServiceGetDataSource": {
            "$ref": "./examples/SearchServiceGetDataSource.json"
          }
        },
        "description": "Retrieves a datasource definition.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Get-Data-Source"
        },
        "parameters": [
          {
            "name": "dataSourceName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the datasource to retrieve."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexerDataSource"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/datasources": {
      "get": {
        "tags": [
          "DataSources"
        ],
        "operationId": "DataSources_List",
        "x-ms-examples": {
          "SearchServiceListDataSources": {
            "$ref": "./examples/SearchServiceListDataSources.json"
          }
        },
        "description": "Lists all datasources available for a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/List-Data-Sources"
        },
        "parameters": [
          {
            "name": "$select",
            "in": "query",
            "required": false,
            "type": "string",
            "description": "Selects which top-level properties of the data sources to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/ListDataSourcesResult"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "post": {
        "tags": [
          "DataSources"
        ],
        "operationId": "DataSources_Create",
        "x-ms-examples": {
          "SearchServiceCreateDataSource": {
            "$ref": "./examples/SearchServiceCreateDataSource.json"
          }
        },
        "description": "Creates a new datasource.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Data-Source"
        },
        "parameters": [
          {
            "name": "dataSource",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndexerDataSource"
            },
            "description": "The definition of the datasource to create."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexerDataSource"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexers('{indexerName}')/search.reset": {
      "post": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_Reset",
        "x-ms-examples": {
          "SearchServiceResetIndexer": {
            "$ref": "./examples/SearchServiceResetIndexer.json"
          }
        },
        "description": "Resets the change tracking state associated with an indexer.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Reset-Indexer"
        },
        "parameters": [
          {
            "name": "indexerName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the indexer to reset."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "204": {
            "description": ""
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexers('{indexerName}')/search.run": {
      "post": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_Run",
        "x-ms-examples": {
          "SearchServiceRunIndexer": {
            "$ref": "./examples/SearchServiceRunIndexer.json"
          }
        },
        "description": "Runs an indexer on-demand.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Run-Indexer"
        },
        "parameters": [
          {
            "name": "indexerName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the indexer to run."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "202": {
            "description": ""
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexers('{indexerName}')": {
      "put": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_CreateOrUpdate",
        "x-ms-examples": {
          "SearchServiceCreateOrUpdateIndexer": {
            "$ref": "./examples/SearchServiceCreateOrUpdateIndexer.json"
          }
        },
        "description": "Creates a new indexer or updates an indexer if it already exists.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Indexer"
        },
        "parameters": [
          {
            "name": "indexerName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the indexer to create or update."
          },
          {
            "name": "indexer",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndexer"
            },
            "description": "The definition of the indexer to create or update."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/PreferHeaderParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexer"
            }
          },
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexer"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "delete": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_Delete",
        "x-ms-examples": {
          "SearchServiceDeleteIndexer": {
            "$ref": "./examples/SearchServiceDeleteIndexer.json"
          }
        },
        "description": "Deletes an indexer.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Delete-Indexer"
        },
        "parameters": [
          {
            "name": "indexerName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the indexer to delete."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "404": {
            "description": ""
          },
          "204": {
            "description": ""
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "get": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_Get",
        "x-ms-examples": {
          "SearchServiceGetIndexer": {
            "$ref": "./examples/SearchServiceGetIndexer.json"
          }
        },
        "description": "Retrieves an indexer definition.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Get-Indexer"
        },
        "parameters": [
          {
            "name": "indexerName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the indexer to retrieve."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexer"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexers": {
      "get": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_List",
        "x-ms-examples": {
          "SearchServiceListIndexers": {
            "$ref": "./examples/SearchServiceListIndexers.json"
          }
        },
        "description": "Lists all indexers available for a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/List-Indexers"
        },
        "parameters": [
          {
            "name": "$select",
            "in": "query",
            "required": false,
            "type": "string",
            "description": "Selects which top-level properties of the indexers to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/ListIndexersResult"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "post": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_Create",
        "x-ms-examples": {
          "SearchServiceCreateIndexer": {
            "$ref": "./examples/SearchServiceCreateIndexer.json"
          }
        },
        "description": "Creates a new indexer.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Indexer"
        },
        "parameters": [
          {
            "name": "indexer",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndexer"
            },
            "description": "The definition of the indexer to create."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexer"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexers('{indexerName}')/search.status": {
      "get": {
        "tags": [
          "Indexers"
        ],
        "operationId": "Indexers_GetStatus",
        "x-ms-examples": {
          "SearchServiceGetIndexerStatus": {
            "$ref": "./examples/SearchServiceGetIndexerStatus.json"
          }
        },
        "description": "Returns the current status and execution history of an indexer.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Get-Indexer-Status"
        },
        "parameters": [
          {
            "name": "indexerName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the indexer for which to retrieve status."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndexerStatus"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/skillsets('{skillsetName}')": {
      "put": {
        "tags": [
          "Skillsets"
        ],
        "operationId": "Skillsets_CreateOrUpdate",
        "x-ms-examples": {
          "SearchServiceCreateOrUpdateSkillset": {
            "$ref": "./examples/SearchServiceCreateOrUpdateSkillset.json"
          }
        },
        "description": "Creates a new skillset in a search service or updates the skillset if it already exists.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/update-skillset"
        },
        "parameters": [
          {
            "name": "skillsetName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the skillset to create or update."
          },
          {
            "name": "skillset",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndexerSkillset"
            },
            "description": "The skillset containing one or more skills to create or update in a search service."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/PreferHeaderParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "The skillset is successfully updated.",
            "schema": {
              "$ref": "#/definitions/SearchIndexerSkillset"
            }
          },
          "201": {
            "description": "The skillset is successfully created.",
            "schema": {
              "$ref": "#/definitions/SearchIndexerSkillset"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "delete": {
        "tags": [
          "Skillsets"
        ],
        "operationId": "Skillsets_Delete",
        "x-ms-examples": {
          "SearchServiceDeleteSkillset": {
            "$ref": "./examples/SearchServiceDeleteSkillset.json"
          }
        },
        "description": "Deletes a skillset in a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/delete-skillset"
        },
        "parameters": [
          {
            "name": "skillsetName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the skillset to delete."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "204": {
            "description": "The skillset is successfully deleted."
          },
          "404": {
            "description": "The provided skillset name is not found."
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "get": {
        "tags": [
          "Skillsets"
        ],
        "operationId": "Skillsets_Get",
        "x-ms-examples": {
          "SearchServiceGetSkillset": {
            "$ref": "./examples/SearchServiceGetSkillset.json"
          }
        },
        "description": "Retrieves a skillset in a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/get-skillset"
        },
        "parameters": [
          {
            "name": "skillsetName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the skillset to retrieve."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "The skillset is successfully returned.",
            "schema": {
              "$ref": "#/definitions/SearchIndexerSkillset"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/skillsets": {
      "get": {
        "tags": [
          "Skillsets"
        ],
        "operationId": "Skillsets_List",
        "x-ms-examples": {
          "SearchServiceListSkillsets": {
            "$ref": "./examples/SearchServiceListSkillsets.json"
          }
        },
        "description": "List all skillsets in a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/list-skillset"
        },
        "parameters": [
          {
            "name": "$select",
            "in": "query",
            "required": false,
            "type": "string",
            "description": "Selects which top-level properties of the skillsets to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "The list is successfully returned.",
            "schema": {
              "$ref": "#/definitions/ListSkillsetsResult"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "post": {
        "tags": [
          "Skillsets"
        ],
        "operationId": "Skillsets_Create",
        "x-ms-examples": {
          "SearchServiceCreateSkillset": {
            "$ref": "./examples/SearchServiceCreateSkillset.json"
          }
        },
        "description": "Creates a new skillset in a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/create-skillset"
        },
        "parameters": [
          {
            "name": "skillset",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndexerSkillset"
            },
            "description": "The skillset containing one or more skills to create in a search service."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "201": {
            "description": "The skillset is successfully created.",
            "schema": {
              "$ref": "#/definitions/SearchIndexerSkillset"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/synonymmaps('{synonymMapName}')": {
      "put": {
        "tags": [
          "SynonymMaps"
        ],
        "operationId": "SynonymMaps_CreateOrUpdate",
        "x-ms-examples": {
          "SearchServiceCreateOrUpdateSynonymMap": {
            "$ref": "./examples/SearchServiceCreateOrUpdateSynonymMap.json"
          }
        },
        "description": "Creates a new synonym map or updates a synonym map if it already exists.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Update-Synonym-Map"
        },
        "parameters": [
          {
            "name": "synonymMapName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the synonym map to create or update."
          },
          {
            "name": "synonymMap",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SynonymMap"
            },
            "description": "The definition of the synonym map to create or update."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/PreferHeaderParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SynonymMap"
            }
          },
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SynonymMap"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "delete": {
        "tags": [
          "SynonymMaps"
        ],
        "operationId": "SynonymMaps_Delete",
        "x-ms-examples": {
          "SearchServiceDeleteSynonymMap": {
            "$ref": "./examples/SearchServiceDeleteSynonymMap.json"
          }
        },
        "description": "Deletes a synonym map.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Delete-Synonym-Map"
        },
        "parameters": [
          {
            "name": "synonymMapName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the synonym map to delete."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "204": {
            "description": ""
          },
          "404": {
            "description": ""
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "get": {
        "tags": [
          "SynonymMaps"
        ],
        "operationId": "SynonymMaps_Get",
        "x-ms-examples": {
          "SearchServiceGetSynonymMap": {
            "$ref": "./examples/SearchServiceGetSynonymMap.json"
          }
        },
        "description": "Retrieves a synonym map definition.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Get-Synonym-Map"
        },
        "parameters": [
          {
            "name": "synonymMapName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the synonym map to retrieve."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SynonymMap"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/synonymmaps": {
      "get": {
        "tags": [
          "SynonymMaps"
        ],
        "operationId": "SynonymMaps_List",
        "x-ms-examples": {
          "SearchServiceListSynonymMaps": {
            "$ref": "./examples/SearchServiceListSynonymMaps.json"
          }
        },
        "description": "Lists all synonym maps available for a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/List-Synonym-Maps"
        },
        "parameters": [
          {
            "name": "$select",
            "in": "query",
            "required": false,
            "type": "string",
            "description": "Selects which top-level properties of the synonym maps to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/ListSynonymMapsResult"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "post": {
        "tags": [
          "SynonymMaps"
        ],
        "operationId": "SynonymMaps_Create",
        "x-ms-examples": {
          "SearchServiceCreateSynonymMap": {
            "$ref": "./examples/SearchServiceCreateSynonymMap.json"
          }
        },
        "description": "Creates a new synonym map.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Synonym-Map"
        },
        "parameters": [
          {
            "name": "synonymMap",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SynonymMap"
            },
            "description": "The definition of the synonym map to create."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SynonymMap"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexes": {
      "post": {
        "tags": [
          "Indexes"
        ],
        "operationId": "Indexes_Create",
        "x-ms-examples": {
          "SearchServiceCreateIndex": {
            "$ref": "./examples/SearchServiceCreateIndex.json"
          }
        },
        "description": "Creates a new search index.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Index"
        },
        "parameters": [
          {
            "name": "index",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndex"
            },
            "description": "The definition of the index to create."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndex"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "get": {
        "tags": [
          "Indexes"
        ],
        "operationId": "Indexes_List",
        "x-ms-examples": {
          "SearchServiceListIndexes": {
            "$ref": "./examples/SearchServiceListIndexes.json"
          }
        },
        "description": "Lists all indexes available for a search service.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/List-Indexes"
        },
        "parameters": [
          {
            "name": "$select",
            "in": "query",
            "required": false,
            "type": "string",
            "description": "Selects which top-level properties of the index definitions to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/ListIndexesResult"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        },
        "x-ms-pageable": {
          "nextLinkName": null
        }
      }
    },
    "/indexes('{indexName}')": {
      "put": {
        "tags": [
          "Indexes"
        ],
        "operationId": "Indexes_CreateOrUpdate",
        "x-ms-examples": {
          "SearchServiceCreateOrUpdateIndex": {
            "$ref": "./examples/SearchServiceCreateOrUpdateIndex.json"
          }
        },
        "description": "Creates a new search index or updates an index if it already exists.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Update-Index"
        },
        "parameters": [
          {
            "name": "indexName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The definition of the index to create or update."
          },
          {
            "name": "index",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/SearchIndex"
            },
            "description": "The definition of the index to create or update."
          },
          {
            "name": "allowIndexDowntime",
            "in": "query",
            "required": false,
            "type": "boolean",
            "description": "Allows new analyzers, tokenizers, token filters, or char filters to be added to an index by taking the index offline for at least a few seconds. This temporarily causes indexing and query requests to fail. Performance and write availability of the index can be impaired for several minutes after the index is updated, or longer for very large indexes."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/PreferHeaderParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndex"
            }
          },
          "201": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndex"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "delete": {
        "tags": [
          "Indexes"
        ],
        "operationId": "Indexes_Delete",
        "x-ms-examples": {
          "SearchServiceDeleteIndex": {
            "$ref": "./examples/SearchServiceDeleteIndex.json"
          }
        },
        "description": "Deletes a search index and all the documents it contains. This operation is permanent, with no recovery option. Make sure you have a master copy of your index definition, data ingestion code, and a backup of the primary data source in case you need to re-build the index.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Delete-Index"
        },
        "parameters": [
          {
            "name": "indexName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the index to delete."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/IfMatchParameter"
          },
          {
            "$ref": "#/parameters/IfNoneMatchParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "204": {
            "description": ""
          },
          "404": {
            "description": ""
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      },
      "get": {
        "tags": [
          "Indexes"
        ],
        "operationId": "Indexes_Get",
        "x-ms-examples": {
          "SearchServiceGetIndex": {
            "$ref": "./examples/SearchServiceGetIndex.json"
          }
        },
        "description": "Retrieves an index definition.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Get-Index"
        },
        "parameters": [
          {
            "name": "indexName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the index to retrieve."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/SearchIndex"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexes('{indexName}')/search.stats": {
      "get": {
        "tags": [
          "Indexes"
        ],
        "operationId": "Indexes_GetStatistics",
        "x-ms-examples": {
          "SearchServiceGetIndexStatistics": {
            "$ref": "./examples/SearchServiceGetIndexStatistics.json"
          }
        },
        "description": "Returns statistics for the given index, including a document count and storage usage.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/Get-Index-Statistics"
        },
        "parameters": [
          {
            "name": "indexName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the index for which to retrieve statistics."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/GetIndexStatisticsResult"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/indexes('{indexName}')/search.analyze": {
      "post": {
        "tags": [
          "Indexes"
        ],
        "operationId": "Indexes_Analyze",
        "x-ms-examples": {
          "SearchServiceIndexAnalyze": {
            "$ref": "./examples/SearchServiceIndexAnalyze.json"
          }
        },
        "description": "Shows how an analyzer breaks text into tokens.",
        "externalDocs": {
          "url": "https://docs.microsoft.com/rest/api/searchservice/test-analyzer"
        },
        "parameters": [
          {
            "name": "indexName",
            "in": "path",
            "required": true,
            "type": "string",
            "description": "The name of the index for which to test an analyzer."
          },
          {
            "name": "request",
            "in": "body",
            "required": true,
            "schema": {
              "$ref": "#/definitions/AnalyzeRequest"
            },
            "description": "The text and analyzer or analysis components to test."
          },
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/AnalyzeResult"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    },
    "/servicestats": {
      "get": {
        "tags": [
          "Service"
        ],
        "operationId": "GetServiceStatistics",
        "x-ms-examples": {
          "SearchServiceGetServiceStatistics": {
            "$ref": "./examples/SearchServiceGetServiceStatistics.json"
          }
        },
        "description": "Gets service level statistics for a search service.",
        "parameters": [
          {
            "$ref": "#/parameters/ClientRequestIdParameter"
          },
          {
            "$ref": "#/parameters/ApiVersionParameter"
          }
        ],
        "x-ms-request-id": "request-id",
        "responses": {
          "200": {
            "description": "",
            "schema": {
              "$ref": "#/definitions/ServiceStatistics"
            }
          },
          "default": {
            "description": "Error response.",
            "schema": {
              "$ref": "#/definitions/SearchError"
            }
          }
        }
      }
    }
  },
  "definitions": {
    "AnalyzeRequest": {
      "properties": {
        "text": {
          "type": "string",
          "description": "The text to break into tokens."
        },
        "analyzer": {
          "$ref": "#/definitions/LexicalAnalyzerName",
          "description": "The name of the analyzer to use to break the given text. If this parameter is not specified, you must specify a tokenizer instead. The tokenizer and analyzer parameters are mutually exclusive."
        },
        "tokenizer": {
          "$ref": "#/definitions/LexicalTokenizerName",
          "description": "The name of the tokenizer to use to break the given text. If this parameter is not specified, you must specify an analyzer instead. The tokenizer and analyzer parameters are mutually exclusive."
        },
        "tokenFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/TokenFilterName",
            "x-nullable": false
          },
          "description": "An optional list of token filters to use when breaking the given text. This parameter can only be set when using the tokenizer parameter."
        },
        "charFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/CharFilterName",
            "x-nullable": false
          },
          "description": "An optional list of character filters to use when breaking the given text. This parameter can only be set when using the tokenizer parameter."
        }
      },
      "required": [
        "text"
      ],
      "description": "Specifies some text and analysis components used to break that text into tokens."
    },
    "AnalyzeResult": {
      "properties": {
        "tokens": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/AnalyzedTokenInfo"
          },
          "description": "The list of tokens returned by the analyzer specified in the request."
        }
      },
      "required": [
        "tokens"
      ],
      "description": "The result of testing an analyzer on text."
    },
    "AnalyzedTokenInfo": {
      "properties": {
        "token": {
          "type": "string",
          "readOnly": true,
          "description": "The token returned by the analyzer."
        },
        "startOffset": {
          "type": "integer",
          "format": "int32",
          "readOnly": true,
          "x-nullable": false,
          "description": "The index of the first character of the token in the input text."
        },
        "endOffset": {
          "type": "integer",
          "format": "int32",
          "readOnly": true,
          "x-nullable": false,
          "description": "The index of the last character of the token in the input text."
        },
        "position": {
          "type": "integer",
          "format": "int32",
          "readOnly": true,
          "x-nullable": false,
          "description": "The position of the token in the input text relative to other tokens. The first token in the input text has position 0, the next has position 1, and so on. Depending on the analyzer used, some tokens might have the same position, for example if they are synonyms of each other."
        }
      },
      "required": [
        "token",
        "startOffset",
        "endOffset",
        "position"
      ],
      "description": "Information about a token returned by an analyzer."
    },
    "LexicalAnalyzerName": {
      "type": "string",
      "enum": [
        "ar.microsoft",
        "ar.lucene",
        "hy.lucene",
        "bn.microsoft",
        "eu.lucene",
        "bg.microsoft",
        "bg.lucene",
        "ca.microsoft",
        "ca.lucene",
        "zh-Hans.microsoft",
        "zh-Hans.lucene",
        "zh-Hant.microsoft",
        "zh-Hant.lucene",
        "hr.microsoft",
        "cs.microsoft",
        "cs.lucene",
        "da.microsoft",
        "da.lucene",
        "nl.microsoft",
        "nl.lucene",
        "en.microsoft",
        "en.lucene",
        "et.microsoft",
        "fi.microsoft",
        "fi.lucene",
        "fr.microsoft",
        "fr.lucene",
        "gl.lucene",
        "de.microsoft",
        "de.lucene",
        "el.microsoft",
        "el.lucene",
        "gu.microsoft",
        "he.microsoft",
        "hi.microsoft",
        "hi.lucene",
        "hu.microsoft",
        "hu.lucene",
        "is.microsoft",
        "id.microsoft",
        "id.lucene",
        "ga.lucene",
        "it.microsoft",
        "it.lucene",
        "ja.microsoft",
        "ja.lucene",
        "kn.microsoft",
        "ko.microsoft",
        "ko.lucene",
        "lv.microsoft",
        "lv.lucene",
        "lt.microsoft",
        "ml.microsoft",
        "ms.microsoft",
        "mr.microsoft",
        "nb.microsoft",
        "no.lucene",
        "fa.lucene",
        "pl.microsoft",
        "pl.lucene",
        "pt-BR.microsoft",
        "pt-BR.lucene",
        "pt-PT.microsoft",
        "pt-PT.lucene",
        "pa.microsoft",
        "ro.microsoft",
        "ro.lucene",
        "ru.microsoft",
        "ru.lucene",
        "sr-cyrillic.microsoft",
        "sr-latin.microsoft",
        "sk.microsoft",
        "sl.microsoft",
        "es.microsoft",
        "es.lucene",
        "sv.microsoft",
        "sv.lucene",
        "ta.microsoft",
        "te.microsoft",
        "th.microsoft",
        "th.lucene",
        "tr.microsoft",
        "tr.lucene",
        "uk.microsoft",
        "ur.microsoft",
        "vi.microsoft",
        "standard.lucene",
        "standardasciifolding.lucene",
        "keyword",
        "pattern",
        "simple",
        "stop",
        "whitespace"
      ],
      "x-ms-enum": {
        "name": "LexicalAnalyzerName",
        "modelAsString": true,
        "values": [
          {
            "value": "ar.microsoft",
            "name": "ArMicrosoft",
            "description": "Microsoft analyzer for Arabic."
          },
          {
            "value": "ar.lucene",
            "name": "ArLucene",
            "description": "Lucene analyzer for Arabic."
          },
          {
            "value": "hy.lucene",
            "name": "HyLucene",
            "description": "Lucene analyzer for Armenian."
          },
          {
            "value": "bn.microsoft",
            "name": "BnMicrosoft",
            "description": "Microsoft analyzer for Bangla."
          },
          {
            "value": "eu.lucene",
            "name": "EuLucene",
            "description": "Lucene analyzer for Basque."
          },
          {
            "value": "bg.microsoft",
            "name": "BgMicrosoft",
            "description": "Microsoft analyzer for Bulgarian."
          },
          {
            "value": "bg.lucene",
            "name": "BgLucene",
            "description": "Lucene analyzer for Bulgarian."
          },
          {
            "value": "ca.microsoft",
            "name": "CaMicrosoft",
            "description": "Microsoft analyzer for Catalan."
          },
          {
            "value": "ca.lucene",
            "name": "CaLucene",
            "description": "Lucene analyzer for Catalan."
          },
          {
            "value": "zh-Hans.microsoft",
            "name": "ZhHansMicrosoft",
            "description": "Microsoft analyzer for Chinese (Simplified)."
          },
          {
            "value": "zh-Hans.lucene",
            "name": "ZhHansLucene",
            "description": "Lucene analyzer for Chinese (Simplified)."
          },
          {
            "value": "zh-Hant.microsoft",
            "name": "ZhHantMicrosoft",
            "description": "Microsoft analyzer for Chinese (Traditional)."
          },
          {
            "value": "zh-Hant.lucene",
            "name": "ZhHantLucene",
            "description": "Lucene analyzer for Chinese (Traditional)."
          },
          {
            "value": "hr.microsoft",
            "name": "HrMicrosoft",
            "description": "Microsoft analyzer for Croatian."
          },
          {
            "value": "cs.microsoft",
            "name": "CsMicrosoft",
            "description": "Microsoft analyzer for Czech."
          },
          {
            "value": "cs.lucene",
            "name": "CsLucene",
            "description": "Lucene analyzer for Czech."
          },
          {
            "value": "da.microsoft",
            "name": "DaMicrosoft",
            "description": "Microsoft analyzer for Danish."
          },
          {
            "value": "da.lucene",
            "name": "DaLucene",
            "description": "Lucene analyzer for Danish."
          },
          {
            "value": "nl.microsoft",
            "name": "NlMicrosoft",
            "description": "Microsoft analyzer for Dutch."
          },
          {
            "value": "nl.lucene",
            "name": "NlLucene",
            "description": "Lucene analyzer for Dutch."
          },
          {
            "value": "en.microsoft",
            "name": "EnMicrosoft",
            "description": "Microsoft analyzer for English."
          },
          {
            "value": "en.lucene",
            "name": "EnLucene",
            "description": "Lucene analyzer for English."
          },
          {
            "value": "et.microsoft",
            "name": "EtMicrosoft",
            "description": "Microsoft analyzer for Estonian."
          },
          {
            "value": "fi.microsoft",
            "name": "FiMicrosoft",
            "description": "Microsoft analyzer for Finnish."
          },
          {
            "value": "fi.lucene",
            "name": "FiLucene",
            "description": "Lucene analyzer for Finnish."
          },
          {
            "value": "fr.microsoft",
            "name": "FrMicrosoft",
            "description": "Microsoft analyzer for French."
          },
          {
            "value": "fr.lucene",
            "name": "FrLucene",
            "description": "Lucene analyzer for French."
          },
          {
            "value": "gl.lucene",
            "name": "GlLucene",
            "description": "Lucene analyzer for Galician."
          },
          {
            "value": "de.microsoft",
            "name": "DeMicrosoft",
            "description": "Microsoft analyzer for German."
          },
          {
            "value": "de.lucene",
            "name": "DeLucene",
            "description": "Lucene analyzer for German."
          },
          {
            "value": "el.microsoft",
            "name": "ElMicrosoft",
            "description": "Microsoft analyzer for Greek."
          },
          {
            "value": "el.lucene",
            "name": "ElLucene",
            "description": "Lucene analyzer for Greek."
          },
          {
            "value": "gu.microsoft",
            "name": "GuMicrosoft",
            "description": "Microsoft analyzer for Gujarati."
          },
          {
            "value": "he.microsoft",
            "name": "HeMicrosoft",
            "description": "Microsoft analyzer for Hebrew."
          },
          {
            "value": "hi.microsoft",
            "name": "HiMicrosoft",
            "description": "Microsoft analyzer for Hindi."
          },
          {
            "value": "hi.lucene",
            "name": "HiLucene",
            "description": "Lucene analyzer for Hindi."
          },
          {
            "value": "hu.microsoft",
            "name": "HuMicrosoft",
            "description": "Microsoft analyzer for Hungarian."
          },
          {
            "value": "hu.lucene",
            "name": "HuLucene",
            "description": "Lucene analyzer for Hungarian."
          },
          {
            "value": "is.microsoft",
            "name": "IsMicrosoft",
            "description": "Microsoft analyzer for Icelandic."
          },
          {
            "value": "id.microsoft",
            "name": "IdMicrosoft",
            "description": "Microsoft analyzer for Indonesian (Bahasa)."
          },
          {
            "value": "id.lucene",
            "name": "IdLucene",
            "description": "Lucene analyzer for Indonesian."
          },
          {
            "value": "ga.lucene",
            "name": "GaLucene",
            "description": "Lucene analyzer for Irish."
          },
          {
            "value": "it.microsoft",
            "name": "ItMicrosoft",
            "description": "Microsoft analyzer for Italian."
          },
          {
            "value": "it.lucene",
            "name": "ItLucene",
            "description": "Lucene analyzer for Italian."
          },
          {
            "value": "ja.microsoft",
            "name": "JaMicrosoft",
            "description": "Microsoft analyzer for Japanese."
          },
          {
            "value": "ja.lucene",
            "name": "JaLucene",
            "description": "Lucene analyzer for Japanese."
          },
          {
            "value": "kn.microsoft",
            "name": "KnMicrosoft",
            "description": "Microsoft analyzer for Kannada."
          },
          {
            "value": "ko.microsoft",
            "name": "KoMicrosoft",
            "description": "Microsoft analyzer for Korean."
          },
          {
            "value": "ko.lucene",
            "name": "KoLucene",
            "description": "Lucene analyzer for Korean."
          },
          {
            "value": "lv.microsoft",
            "name": "LvMicrosoft",
            "description": "Microsoft analyzer for Latvian."
          },
          {
            "value": "lv.lucene",
            "name": "LvLucene",
            "description": "Lucene analyzer for Latvian."
          },
          {
            "value": "lt.microsoft",
            "name": "LtMicrosoft",
            "description": "Microsoft analyzer for Lithuanian."
          },
          {
            "value": "ml.microsoft",
            "name": "MlMicrosoft",
            "description": "Microsoft analyzer for Malayalam."
          },
          {
            "value": "ms.microsoft",
            "name": "MsMicrosoft",
            "description": "Microsoft analyzer for Malay (Latin)."
          },
          {
            "value": "mr.microsoft",
            "name": "MrMicrosoft",
            "description": "Microsoft analyzer for Marathi."
          },
          {
            "value": "nb.microsoft",
            "name": "NbMicrosoft",
            "description": "Microsoft analyzer for Norwegian (Bokmål)."
          },
          {
            "value": "no.lucene",
            "name": "NoLucene",
            "description": "Lucene analyzer for Norwegian."
          },
          {
            "value": "fa.lucene",
            "name": "FaLucene",
            "description": "Lucene analyzer for Persian."
          },
          {
            "value": "pl.microsoft",
            "name": "PlMicrosoft",
            "description": "Microsoft analyzer for Polish."
          },
          {
            "value": "pl.lucene",
            "name": "PlLucene",
            "description": "Lucene analyzer for Polish."
          },
          {
            "value": "pt-BR.microsoft",
            "name": "PtBrMicrosoft",
            "description": "Microsoft analyzer for Portuguese (Brazil)."
          },
          {
            "value": "pt-BR.lucene",
            "name": "PtBrLucene",
            "description": "Lucene analyzer for Portuguese (Brazil)."
          },
          {
            "value": "pt-PT.microsoft",
            "name": "PtPtMicrosoft",
            "description": "Microsoft analyzer for Portuguese (Portugal)."
          },
          {
            "value": "pt-PT.lucene",
            "name": "PtPtLucene",
            "description": "Lucene analyzer for Portuguese (Portugal)."
          },
          {
            "value": "pa.microsoft",
            "name": "PaMicrosoft",
            "description": "Microsoft analyzer for Punjabi."
          },
          {
            "value": "ro.microsoft",
            "name": "RoMicrosoft",
            "description": "Microsoft analyzer for Romanian."
          },
          {
            "value": "ro.lucene",
            "name": "RoLucene",
            "description": "Lucene analyzer for Romanian."
          },
          {
            "value": "ru.microsoft",
            "name": "RuMicrosoft",
            "description": "Microsoft analyzer for Russian."
          },
          {
            "value": "ru.lucene",
            "name": "RuLucene",
            "description": "Lucene analyzer for Russian."
          },
          {
            "value": "sr-cyrillic.microsoft",
            "name": "SrCyrillicMicrosoft",
            "description": "Microsoft analyzer for Serbian (Cyrillic)."
          },
          {
            "value": "sr-latin.microsoft",
            "name": "SrLatinMicrosoft",
            "description": "Microsoft analyzer for Serbian (Latin)."
          },
          {
            "value": "sk.microsoft",
            "name": "SkMicrosoft",
            "description": "Microsoft analyzer for Slovak."
          },
          {
            "value": "sl.microsoft",
            "name": "SlMicrosoft",
            "description": "Microsoft analyzer for Slovenian."
          },
          {
            "value": "es.microsoft",
            "name": "EsMicrosoft",
            "description": "Microsoft analyzer for Spanish."
          },
          {
            "value": "es.lucene",
            "name": "EsLucene",
            "description": "Lucene analyzer for Spanish."
          },
          {
            "value": "sv.microsoft",
            "name": "SvMicrosoft",
            "description": "Microsoft analyzer for Swedish."
          },
          {
            "value": "sv.lucene",
            "name": "SvLucene",
            "description": "Lucene analyzer for Swedish."
          },
          {
            "value": "ta.microsoft",
            "name": "TaMicrosoft",
            "description": "Microsoft analyzer for Tamil."
          },
          {
            "value": "te.microsoft",
            "name": "TeMicrosoft",
            "description": "Microsoft analyzer for Telugu."
          },
          {
            "value": "th.microsoft",
            "name": "ThMicrosoft",
            "description": "Microsoft analyzer for Thai."
          },
          {
            "value": "th.lucene",
            "name": "ThLucene",
            "description": "Lucene analyzer for Thai."
          },
          {
            "value": "tr.microsoft",
            "name": "TrMicrosoft",
            "description": "Microsoft analyzer for Turkish."
          },
          {
            "value": "tr.lucene",
            "name": "TrLucene",
            "description": "Lucene analyzer for Turkish."
          },
          {
            "value": "uk.microsoft",
            "name": "UkMicrosoft",
            "description": "Microsoft analyzer for Ukrainian."
          },
          {
            "value": "ur.microsoft",
            "name": "UrMicrosoft",
            "description": "Microsoft analyzer for Urdu."
          },
          {
            "value": "vi.microsoft",
            "name": "ViMicrosoft",
            "description": "Microsoft analyzer for Vietnamese."
          },
          {
            "value": "standard.lucene",
            "name": "StandardLucene",
            "description": "Standard Lucene analyzer."
          },
          {
            "value": "standardasciifolding.lucene",
            "name": "StandardAsciiFoldingLucene",
            "description": "Standard ASCII Folding Lucene analyzer. See https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers"
          },
          {
            "value": "keyword",
            "name": "Keyword",
            "description": "Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html"
          },
          {
            "value": "pattern",
            "name": "Pattern",
            "description": "Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html"
          },
          {
            "value": "simple",
            "name": "Simple",
            "description": "Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html"
          },
          {
            "value": "stop",
            "name": "Stop",
            "description": "Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html"
          },
          {
            "value": "whitespace",
            "name": "Whitespace",
            "description": "An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html"
          }
        ]
      },
      "description": "Defines the names of all text analyzers supported by Azure Cognitive Search.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Language-support"
      }
    },
    "LexicalTokenizerName": {
      "type": "string",
      "enum": [
        "classic",
        "edgeNGram",
        "keyword_v2",
        "letter",
        "lowercase",
        "microsoft_language_tokenizer",
        "microsoft_language_stemming_tokenizer",
        "nGram",
        "path_hierarchy_v2",
        "pattern",
        "standard_v2",
        "uax_url_email",
        "whitespace"
      ],
      "x-ms-enum": {
        "name": "LexicalTokenizerName",
        "modelAsString": true,
        "values": [
          {
            "value": "classic",
            "name": "Classic",
            "description": "Grammar-based tokenizer that is suitable for processing most European-language documents. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/ClassicTokenizer.html"
          },
          {
            "value": "edgeNGram",
            "name": "EdgeNGram",
            "description": "Tokenizes the input from an edge into n-grams of the given size(s). See https://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenizer.html"
          },
          {
            "value": "keyword_v2",
            "name": "Keyword",
            "description": "Emits the entire input as a single token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordTokenizer.html"
          },
          {
            "value": "letter",
            "name": "Letter",
            "description": "Divides text at non-letters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/LetterTokenizer.html"
          },
          {
            "value": "lowercase",
            "name": "Lowercase",
            "description": "Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/LowerCaseTokenizer.html"
          },
          {
            "value": "microsoft_language_tokenizer",
            "name": "MicrosoftLanguageTokenizer",
            "description": "Divides text using language-specific rules."
          },
          {
            "value": "microsoft_language_stemming_tokenizer",
            "name": "MicrosoftLanguageStemmingTokenizer",
            "description": "Divides text using language-specific rules and reduces words to their base forms."
          },
          {
            "value": "nGram",
            "name": "NGram",
            "description": "Tokenizes the input into n-grams of the given size(s). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenizer.html"
          },
          {
            "value": "path_hierarchy_v2",
            "name": "PathHierarchy",
            "description": "Tokenizer for path-like hierarchies. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/path/PathHierarchyTokenizer.html"
          },
          {
            "value": "pattern",
            "name": "Pattern",
            "description": "Tokenizer that uses regex pattern matching to construct distinct tokens. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/pattern/PatternTokenizer.html"
          },
          {
            "value": "standard_v2",
            "name": "Standard",
            "description": "Standard Lucene analyzer; Composed of the standard tokenizer, lowercase filter and stop filter. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/StandardTokenizer.html"
          },
          {
            "value": "uax_url_email",
            "name": "UaxUrlEmail",
            "description": "Tokenizes urls and emails as one token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/UAX29URLEmailTokenizer.html"
          },
          {
            "value": "whitespace",
            "name": "Whitespace",
            "description": "Divides text at whitespace. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceTokenizer.html"
          }
        ]
      },
      "description": "Defines the names of all tokenizers supported by Azure Cognitive Search.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
      }
    },
    "TokenFilterName": {
      "type": "string",
      "enum": [
        "arabic_normalization",
        "apostrophe",
        "asciifolding",
        "cjk_bigram",
        "cjk_width",
        "classic",
        "common_grams",
        "edgeNGram_v2",
        "elision",
        "german_normalization",
        "hindi_normalization",
        "indic_normalization",
        "keyword_repeat",
        "kstem",
        "length",
        "limit",
        "lowercase",
        "nGram_v2",
        "persian_normalization",
        "phonetic",
        "porter_stem",
        "reverse",
        "scandinavian_normalization",
        "scandinavian_folding",
        "shingle",
        "snowball",
        "sorani_normalization",
        "stemmer",
        "stopwords",
        "trim",
        "truncate",
        "unique",
        "uppercase",
        "word_delimiter"
      ],
      "x-ms-enum": {
        "name": "TokenFilterName",
        "modelAsString": true,
        "values": [
          {
            "value": "arabic_normalization",
            "name": "ArabicNormalization",
            "description": "A token filter that applies the Arabic normalizer to normalize the orthography. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ar/ArabicNormalizationFilter.html"
          },
          {
            "value": "apostrophe",
            "name": "Apostrophe",
            "description": "Strips all characters after an apostrophe (including the apostrophe itself). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/tr/ApostropheFilter.html"
          },
          {
            "value": "asciifolding",
            "name": "AsciiFolding",
            "description": "Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the \"Basic Latin\" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html"
          },
          {
            "value": "cjk_bigram",
            "name": "CjkBigram",
            "description": "Forms bigrams of CJK terms that are generated from the standard tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKBigramFilter.html"
          },
          {
            "value": "cjk_width",
            "name": "CjkWidth",
            "description": "Normalizes CJK width differences. Folds fullwidth ASCII variants into the equivalent basic Latin, and half-width Katakana variants into the equivalent Kana. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKWidthFilter.html"
          },
          {
            "value": "classic",
            "name": "Classic",
            "description": "Removes English possessives, and dots from acronyms. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/ClassicFilter.html"
          },
          {
            "value": "common_grams",
            "name": "CommonGram",
            "description": "Construct bigrams for frequently occurring terms while indexing. Single terms are still indexed too, with bigrams overlaid. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/commongrams/CommonGramsFilter.html"
          },
          {
            "value": "edgeNGram_v2",
            "name": "EdgeNGram",
            "description": "Generates n-grams of the given size(s) starting from the front or the back of an input token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenFilter.html"
          },
          {
            "value": "elision",
            "name": "Elision",
            "description": "Removes elisions. For example, \"l'avion\" (the plane) will be converted to \"avion\" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html"
          },
          {
            "value": "german_normalization",
            "name": "GermanNormalization",
            "description": "Normalizes German characters according to the heuristics of the German2 snowball algorithm. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/de/GermanNormalizationFilter.html"
          },
          {
            "value": "hindi_normalization",
            "name": "HindiNormalization",
            "description": "Normalizes text in Hindi to remove some differences in spelling variations. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/hi/HindiNormalizationFilter.html"
          },
          {
            "value": "indic_normalization",
            "name": "IndicNormalization",
            "description": "Normalizes the Unicode representation of text in Indian languages. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/in/IndicNormalizationFilter.html"
          },
          {
            "value": "keyword_repeat",
            "name": "KeywordRepeat",
            "description": "Emits each incoming token twice, once as keyword and once as non-keyword. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/KeywordRepeatFilter.html"
          },
          {
            "value": "kstem",
            "name": "KStem",
            "description": "A high-performance kstem filter for English. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/en/KStemFilter.html"
          },
          {
            "value": "length",
            "name": "Length",
            "description": "Removes words that are too long or too short. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LengthFilter.html"
          },
          {
            "value": "limit",
            "name": "Limit",
            "description": "Limits the number of tokens while indexing. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LimitTokenCountFilter.html"
          },
          {
            "value": "lowercase",
            "name": "Lowercase",
            "description": "Normalizes token text to lower case. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html"
          },
          {
            "value": "nGram_v2",
            "name": "NGram",
            "description": "Generates n-grams of the given size(s). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenFilter.html"
          },
          {
            "value": "persian_normalization",
            "name": "PersianNormalization",
            "description": "Applies normalization for Persian. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/fa/PersianNormalizationFilter.html"
          },
          {
            "value": "phonetic",
            "name": "Phonetic",
            "description": "Create tokens for phonetic matches. See https://lucene.apache.org/core/4_10_3/analyzers-phonetic/org/apache/lucene/analysis/phonetic/package-tree.html"
          },
          {
            "value": "porter_stem",
            "name": "PorterStem",
            "description": "Uses the Porter stemming algorithm to transform the token stream. See http://tartarus.org/~martin/PorterStemmer"
          },
          {
            "value": "reverse",
            "name": "Reverse",
            "description": "Reverses the token string. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html"
          },
          {
            "value": "scandinavian_normalization",
            "name": "ScandinavianNormalization",
            "description": "Normalizes use of the interchangeable Scandinavian characters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ScandinavianNormalizationFilter.html"
          },
          {
            "value": "scandinavian_folding",
            "name": "ScandinavianFoldingNormalization",
            "description": "Folds Scandinavian characters åÅäæÄÆ->a and öÖøØ->o. It also discriminates against use of double vowels aa, ae, ao, oe and oo, leaving just the first one. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ScandinavianFoldingFilter.html"
          },
          {
            "value": "shingle",
            "name": "Shingle",
            "description": "Creates combinations of tokens as a single token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/shingle/ShingleFilter.html"
          },
          {
            "value": "snowball",
            "name": "Snowball",
            "description": "A filter that stems words using a Snowball-generated stemmer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/snowball/SnowballFilter.html"
          },
          {
            "value": "sorani_normalization",
            "name": "SoraniNormalization",
            "description": "Normalizes the Unicode representation of Sorani text. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ckb/SoraniNormalizationFilter.html"
          },
          {
            "value": "stemmer",
            "name": "Stemmer",
            "description": "Language specific stemming filter. See https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#TokenFilters"
          },
          {
            "value": "stopwords",
            "name": "Stopwords",
            "description": "Removes stop words from a token stream. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopFilter.html"
          },
          {
            "value": "trim",
            "name": "Trim",
            "description": "Trims leading and trailing whitespace from tokens. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/TrimFilter.html"
          },
          {
            "value": "truncate",
            "name": "Truncate",
            "description": "Truncates the terms to a specific length. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/TruncateTokenFilter.html"
          },
          {
            "value": "unique",
            "name": "Unique",
            "description": "Filters out tokens with same text as the previous token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/RemoveDuplicatesTokenFilter.html"
          },
          {
            "value": "uppercase",
            "name": "Uppercase",
            "description": "Normalizes token text to upper case. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html"
          },
          {
            "value": "word_delimiter",
            "name": "WordDelimiter",
            "description": "Splits words into subwords and performs optional transformations on subword groups."
          }
        ]
      },
      "description": "Defines the names of all token filters supported by Azure Cognitive Search.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
      }
    },
    "LexicalNormalizerName": {
      "type": "string",
      "enum": [
        "asciifolding",
        "elision",
        "lowercase",
        "standard",
        "uppercase"
      ],
      "x-ms-enum": {
        "name": "LexicalNormalizerName",
        "modelAsString": true,
        "values": [
          {
            "value": "asciifolding",
            "name": "AsciiFolding",
            "description": "Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the \"Basic Latin\" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html"
          },
          {
            "value": "elision",
            "name": "Elision",
            "description": "Removes elisions. For example, \"l'avion\" (the plane) will be converted to \"avion\" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html"
          },
          {
            "value": "lowercase",
            "name": "Lowercase",
            "description": "Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html"
          },
          {
            "value": "standard",
            "name": "Standard",
            "description": "Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html"
          },
          {
            "value": "uppercase",
            "name": "Uppercase",
            "description": "Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html"
          }
        ]
      },
      "description": "Defines the names of all text normalizers supported by Azure Cognitive Search.",
      "externalDocs": {
        "url": "https://aka.ms/azs-normalizers"
      }
    },
    "CharFilterName": {
      "type": "string",
      "enum": [
        "html_strip"
      ],
      "x-ms-enum": {
        "name": "CharFilterName",
        "modelAsString": true,
        "values": [
          {
            "value": "html_strip",
            "name": "HtmlStrip",
            "description": "A character filter that attempts to strip out HTML constructs. See https://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/charfilter/HTMLStripCharFilter.html"
          }
        ]
      },
      "description": "Defines the names of all character filters supported by Azure Cognitive Search.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
      }
    },
    "RegexFlags": {
      "type": "string",
      "enum": [
        "CANON_EQ",
        "CASE_INSENSITIVE",
        "COMMENTS",
        "DOTALL",
        "LITERAL",
        "MULTILINE",
        "UNICODE_CASE",
        "UNIX_LINES"
      ],
      "x-ms-enum": {
        "name": "RegexFlags",
        "modelAsString": true,
        "values": [
          {
            "value": "CANON_EQ",
            "name": "CanonEq",
            "description": "Enables canonical equivalence."
          },
          {
            "value": "CASE_INSENSITIVE",
            "name": "CaseInsensitive",
            "description": "Enables case-insensitive matching."
          },
          {
            "value": "COMMENTS",
            "name": "Comments",
            "description": "Permits whitespace and comments in the pattern."
          },
          {
            "value": "DOTALL",
            "name": "DotAll",
            "description": "Enables dotall mode."
          },
          {
            "value": "LITERAL",
            "name": "Literal",
            "description": "Enables literal parsing of the pattern."
          },
          {
            "value": "MULTILINE",
            "name": "Multiline",
            "description": "Enables multiline mode."
          },
          {
            "value": "UNICODE_CASE",
            "name": "UnicodeCase",
            "description": "Enables Unicode-aware case folding."
          },
          {
            "value": "UNIX_LINES",
            "name": "UnixLines",
            "description": "Enables Unix lines mode."
          }
        ]
      },
      "description": "Defines flags that can be combined to control how regular expressions are used in the pattern analyzer and pattern tokenizer.",
      "externalDocs": {
        "url": "http://docs.oracle.com/javase/6/docs/api/java/util/regex/Pattern.html#field_summary"
      }
    },
    "SearchFieldDataType": {
      "type": "string",
      "enum": [
        "Edm.String",
        "Edm.Int32",
        "Edm.Int64",
        "Edm.Double",
        "Edm.Boolean",
        "Edm.DateTimeOffset",
        "Edm.GeographyPoint",
        "Edm.ComplexType"
      ],
      "x-ms-enum": {
        "name": "SearchFieldDataType",
        "modelAsString": true,
        "values": [
          {
            "value": "Edm.String",
            "name": "String",
            "description": "Indicates that a field contains a string."
          },
          {
            "value": "Edm.Int32",
            "name": "Int32",
            "description": "Indicates that a field contains a 32-bit signed integer."
          },
          {
            "value": "Edm.Int64",
            "name": "Int64",
            "description": "Indicates that a field contains a 64-bit signed integer."
          },
          {
            "value": "Edm.Double",
            "name": "Double",
            "description": "Indicates that a field contains an IEEE double-precision floating point number."
          },
          {
            "value": "Edm.Boolean",
            "name": "Boolean",
            "description": "Indicates that a field contains a Boolean value (true or false)."
          },
          {
            "value": "Edm.DateTimeOffset",
            "name": "DateTimeOffset",
            "description": "Indicates that a field contains a date/time value, including timezone information."
          },
          {
            "value": "Edm.GeographyPoint",
            "name": "GeographyPoint",
            "description": "Indicates that a field contains a geo-location in terms of longitude and latitude."
          },
          {
            "value": "Edm.ComplexType",
            "name": "Complex",
            "description": "Indicates that a field contains one or more complex objects that in turn have sub-fields of other types."
          }
        ]
      },
      "description": "Defines the data type of a field in a search index."
    },
    "LexicalAnalyzer": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the analyzer."
        },
        "name": {
          "type": "string",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/custom-analyzers-in-azure-search#index-attribute-reference"
          },
          "description": "The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters."
        }
      },
      "required": [
        "@odata.type",
        "name"
      ],
      "description": "Base type for analyzers."
    },
    "CustomAnalyzer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.CustomAnalyzer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalAnalyzer"
        }
      ],
      "properties": {
        "tokenizer": {
          "$ref": "#/definitions/LexicalTokenizerName",
          "description": "The name of the tokenizer to use to divide continuous text into a sequence of tokens, such as breaking a sentence into words."
        },
        "tokenFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/TokenFilterName",
            "x-nullable": false
          },
          "description": "A list of token filters used to filter out or modify the tokens generated by a tokenizer. For example, you can specify a lowercase filter that converts all characters to lowercase. The filters are run in the order in which they are listed."
        },
        "charFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/CharFilterName",
            "x-nullable": false
          },
          "description": "A list of character filters used to prepare input text before it is processed by the tokenizer. For instance, they can replace certain characters or symbols. The filters are run in the order in which they are listed."
        }
      },
      "required": [
        "tokenizer"
      ],
      "description": "Allows you to take control over the process of converting text into indexable/searchable tokens. It's a user-defined configuration consisting of a single predefined tokenizer and one or more filters. The tokenizer is responsible for breaking text into tokens, and the filters for modifying tokens emitted by the tokenizer."
    },
    "PatternAnalyzer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.PatternAnalyzer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalAnalyzer"
        }
      ],
      "properties": {
        "lowercase": {
          "x-ms-client-name": "LowerCaseTerms",
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether terms should be lower-cased. Default is true."
        },
        "pattern": {
          "type": "string",
          "default": "\\W+",
          "description": "A regular expression pattern to match token separators. Default is an expression that matches one or more non-word characters."
        },
        "flags": {
          "$ref": "#/definitions/RegexFlags",
          "description": "Regular expression flags."
        },
        "stopwords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of stopwords."
        }
      },
      "description": "Flexibly separates text into terms via a regular expression pattern. This analyzer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html"
      }
    },
    "LuceneStandardAnalyzer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.StandardAnalyzer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalAnalyzer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 255,
          "maximum": 300,
          "description": "The maximum token length. Default is 255. Tokens longer than the maximum length are split. The maximum token length that can be used is 300 characters."
        },
        "stopwords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of stopwords."
        }
      },
      "description": "Standard Apache Lucene analyzer; Composed of the standard tokenizer, lowercase filter and stop filter.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/StandardAnalyzer.html"
      }
    },
    "StopAnalyzer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.StopAnalyzer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalAnalyzer"
        }
      ],
      "properties": {
        "stopwords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of stopwords."
        }
      },
      "description": "Divides text at non-letters; Applies the lowercase and stopword token filters. This analyzer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html"
      }
    },
    "LexicalNormalizer": {
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the normalizer."
        },
        "name": {
          "type": "string",
          "externalDocs": {
            "url": "https://aka.ms/azs-normalizers"
          },
          "description": "The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'."
        }
      },
      "required": [
        "@odata.type",
        "name"
      ],
      "description": "Base type for normalizers."
    },
    "CustomNormalizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.CustomNormalizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalNormalizer"
        }
      ],
      "properties": {
        "tokenFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/TokenFilterName",
            "x-nullable": false
          },
          "description": "A list of token filters used to filter out or modify the input token. For example, you can specify a lowercase filter that converts all characters to lowercase. The filters are run in the order in which they are listed."
        },
        "charFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/CharFilterName",
            "x-nullable": false
          },
          "description": "A list of character filters used to prepare input text before it is processed. For instance, they can replace certain characters or symbols. The filters are run in the order in which they are listed."
        }
      },
      "description": "Allows you to configure normalization for filterable, sortable, and facetable fields, which by default operate with strict matching. This is a user-defined configuration consisting of at least one or more filters, which modify the token that is stored.",
      "externalDocs": {
        "url": "https://aka.ms/azs-custom-normalizers"
      }
    },
    "LexicalTokenizer": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the tokenizer."
        },
        "name": {
          "type": "string",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/custom-analyzers-in-azure-search#index-attribute-reference"
          },
          "description": "The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters."
        }
      },
      "required": [
        "@odata.type",
        "name"
      ],
      "description": "Base type for tokenizers.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
      }
    },
    "ClassicTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.ClassicTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 255,
          "maximum": 300,
          "description": "The maximum token length. Default is 255. Tokens longer than the maximum length are split. The maximum token length that can be used is 300 characters."
        }
      },
      "description": "Grammar-based tokenizer that is suitable for processing most European-language documents. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/ClassicTokenizer.html"
      }
    },
    "TokenCharacterKind": {
      "type": "string",
      "enum": [
        "letter",
        "digit",
        "whitespace",
        "punctuation",
        "symbol"
      ],
      "x-ms-enum": {
        "name": "TokenCharacterKind",
        "modelAsString": false,
        "values": [
          {
            "value": "letter",
            "name": "Letter",
            "description": "Keeps letters in tokens."
          },
          {
            "value": "digit",
            "name": "Digit",
            "description": "Keeps digits in tokens."
          },
          {
            "value": "whitespace",
            "name": "Whitespace",
            "description": "Keeps whitespace in tokens."
          },
          {
            "value": "punctuation",
            "name": "Punctuation",
            "description": "Keeps punctuation in tokens."
          },
          {
            "value": "symbol",
            "name": "Symbol",
            "description": "Keeps symbols in tokens."
          }
        ]
      },
      "description": "Represents classes of characters on which a token filter can operate."
    },
    "EdgeNGramTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.EdgeNGramTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "minGram": {
          "type": "integer",
          "format": "int32",
          "default": 1,
          "maximum": 300,
          "description": "The minimum n-gram length. Default is 1. Maximum is 300. Must be less than the value of maxGram."
        },
        "maxGram": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "maximum": 300,
          "description": "The maximum n-gram length. Default is 2. Maximum is 300."
        },
        "tokenChars": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/TokenCharacterKind",
            "x-nullable": false
          },
          "description": "Character classes to keep in the tokens."
        }
      },
      "description": "Tokenizes the input from an edge into n-grams of the given size(s). This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "https://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenizer.html"
      }
    },
    "KeywordTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.KeywordTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "bufferSize": {
          "type": "integer",
          "format": "int32",
          "default": 256,
          "description": "The read buffer size in bytes. Default is 256."
        }
      },
      "description": "Emits the entire input as a single token. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordTokenizer.html"
      },
      "x-az-search-deprecated": true
    },
    "KeywordTokenizerV2": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.KeywordTokenizerV2",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 256,
          "maximum": 300,
          "description": "The maximum token length. Default is 256. Tokens longer than the maximum length are split. The maximum token length that can be used is 300 characters."
        }
      },
      "description": "Emits the entire input as a single token. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordTokenizer.html"
      }
    },
    "MicrosoftTokenizerLanguage": {
      "type": "string",
      "enum": [
        "bangla",
        "bulgarian",
        "catalan",
        "chineseSimplified",
        "chineseTraditional",
        "croatian",
        "czech",
        "danish",
        "dutch",
        "english",
        "french",
        "german",
        "greek",
        "gujarati",
        "hindi",
        "icelandic",
        "indonesian",
        "italian",
        "japanese",
        "kannada",
        "korean",
        "malay",
        "malayalam",
        "marathi",
        "norwegianBokmaal",
        "polish",
        "portuguese",
        "portugueseBrazilian",
        "punjabi",
        "romanian",
        "russian",
        "serbianCyrillic",
        "serbianLatin",
        "slovenian",
        "spanish",
        "swedish",
        "tamil",
        "telugu",
        "thai",
        "ukrainian",
        "urdu",
        "vietnamese"
      ],
      "x-ms-enum": {
        "name": "MicrosoftTokenizerLanguage",
        "modelAsString": false,
        "values": [
          {
            "value": "bangla",
            "name": "Bangla",
            "description": "Selects the Microsoft tokenizer for Bangla."
          },
          {
            "value": "bulgarian",
            "name": "Bulgarian",
            "description": "Selects the Microsoft tokenizer for Bulgarian."
          },
          {
            "value": "catalan",
            "name": "Catalan",
            "description": "Selects the Microsoft tokenizer for Catalan."
          },
          {
            "value": "chineseSimplified",
            "name": "ChineseSimplified",
            "description": "Selects the Microsoft tokenizer for Chinese (Simplified)."
          },
          {
            "value": "chineseTraditional",
            "name": "ChineseTraditional",
            "description": "Selects the Microsoft tokenizer for Chinese (Traditional)."
          },
          {
            "value": "croatian",
            "name": "Croatian",
            "description": "Selects the Microsoft tokenizer for Croatian."
          },
          {
            "value": "czech",
            "name": "Czech",
            "description": "Selects the Microsoft tokenizer for Czech."
          },
          {
            "value": "danish",
            "name": "Danish",
            "description": "Selects the Microsoft tokenizer for Danish."
          },
          {
            "value": "dutch",
            "name": "Dutch",
            "description": "Selects the Microsoft tokenizer for Dutch."
          },
          {
            "value": "english",
            "name": "English",
            "description": "Selects the Microsoft tokenizer for English."
          },
          {
            "value": "french",
            "name": "French",
            "description": "Selects the Microsoft tokenizer for French."
          },
          {
            "value": "german",
            "name": "German",
            "description": "Selects the Microsoft tokenizer for German."
          },
          {
            "value": "greek",
            "name": "Greek",
            "description": "Selects the Microsoft tokenizer for Greek."
          },
          {
            "value": "gujarati",
            "name": "Gujarati",
            "description": "Selects the Microsoft tokenizer for Gujarati."
          },
          {
            "value": "hindi",
            "name": "Hindi",
            "description": "Selects the Microsoft tokenizer for Hindi."
          },
          {
            "value": "icelandic",
            "name": "Icelandic",
            "description": "Selects the Microsoft tokenizer for Icelandic."
          },
          {
            "value": "indonesian",
            "name": "Indonesian",
            "description": "Selects the Microsoft tokenizer for Indonesian."
          },
          {
            "value": "italian",
            "name": "Italian",
            "description": "Selects the Microsoft tokenizer for Italian."
          },
          {
            "value": "japanese",
            "name": "Japanese",
            "description": "Selects the Microsoft tokenizer for Japanese."
          },
          {
            "value": "kannada",
            "name": "Kannada",
            "description": "Selects the Microsoft tokenizer for Kannada."
          },
          {
            "value": "korean",
            "name": "Korean",
            "description": "Selects the Microsoft tokenizer for Korean."
          },
          {
            "value": "malay",
            "name": "Malay",
            "description": "Selects the Microsoft tokenizer for Malay."
          },
          {
            "value": "malayalam",
            "name": "Malayalam",
            "description": "Selects the Microsoft tokenizer for Malayalam."
          },
          {
            "value": "marathi",
            "name": "Marathi",
            "description": "Selects the Microsoft tokenizer for Marathi."
          },
          {
            "value": "norwegianBokmaal",
            "name": "NorwegianBokmaal",
            "description": "Selects the Microsoft tokenizer for Norwegian (Bokmål)."
          },
          {
            "value": "polish",
            "name": "Polish",
            "description": "Selects the Microsoft tokenizer for Polish."
          },
          {
            "value": "portuguese",
            "name": "Portuguese",
            "description": "Selects the Microsoft tokenizer for Portuguese."
          },
          {
            "value": "portugueseBrazilian",
            "name": "PortugueseBrazilian",
            "description": "Selects the Microsoft tokenizer for Portuguese (Brazil)."
          },
          {
            "value": "punjabi",
            "name": "Punjabi",
            "description": "Selects the Microsoft tokenizer for Punjabi."
          },
          {
            "value": "romanian",
            "name": "Romanian",
            "description": "Selects the Microsoft tokenizer for Romanian."
          },
          {
            "value": "russian",
            "name": "Russian",
            "description": "Selects the Microsoft tokenizer for Russian."
          },
          {
            "value": "serbianCyrillic",
            "name": "SerbianCyrillic",
            "description": "Selects the Microsoft tokenizer for Serbian (Cyrillic)."
          },
          {
            "value": "serbianLatin",
            "name": "SerbianLatin",
            "description": "Selects the Microsoft tokenizer for Serbian (Latin)."
          },
          {
            "value": "slovenian",
            "name": "Slovenian",
            "description": "Selects the Microsoft tokenizer for Slovenian."
          },
          {
            "value": "spanish",
            "name": "Spanish",
            "description": "Selects the Microsoft tokenizer for Spanish."
          },
          {
            "value": "swedish",
            "name": "Swedish",
            "description": "Selects the Microsoft tokenizer for Swedish."
          },
          {
            "value": "tamil",
            "name": "Tamil",
            "description": "Selects the Microsoft tokenizer for Tamil."
          },
          {
            "value": "telugu",
            "name": "Telugu",
            "description": "Selects the Microsoft tokenizer for Telugu."
          },
          {
            "value": "thai",
            "name": "Thai",
            "description": "Selects the Microsoft tokenizer for Thai."
          },
          {
            "value": "ukrainian",
            "name": "Ukrainian",
            "description": "Selects the Microsoft tokenizer for Ukrainian."
          },
          {
            "value": "urdu",
            "name": "Urdu",
            "description": "Selects the Microsoft tokenizer for Urdu."
          },
          {
            "value": "vietnamese",
            "name": "Vietnamese",
            "description": "Selects the Microsoft tokenizer for Vietnamese."
          }
        ]
      },
      "description": "Lists the languages supported by the Microsoft language tokenizer."
    },
    "MicrosoftLanguageTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.MicrosoftLanguageTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 255,
          "maximum": 300,
          "description": "The maximum token length. Tokens longer than the maximum length are split. Maximum token length that can be used is 300 characters. Tokens longer than 300 characters are first split into tokens of length 300 and then each of those tokens is split based on the max token length set. Default is 255."
        },
        "isSearchTokenizer": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating how the tokenizer is used. Set to true if used as the search tokenizer, set to false if used as the indexing tokenizer. Default is false."
        },
        "language": {
          "$ref": "#/definitions/MicrosoftTokenizerLanguage",
          "description": "The language to use. The default is English."
        }
      },
      "description": "Divides text using language-specific rules."
    },
    "MicrosoftStemmingTokenizerLanguage": {
      "type": "string",
      "enum": [
        "arabic",
        "bangla",
        "bulgarian",
        "catalan",
        "croatian",
        "czech",
        "danish",
        "dutch",
        "english",
        "estonian",
        "finnish",
        "french",
        "german",
        "greek",
        "gujarati",
        "hebrew",
        "hindi",
        "hungarian",
        "icelandic",
        "indonesian",
        "italian",
        "kannada",
        "latvian",
        "lithuanian",
        "malay",
        "malayalam",
        "marathi",
        "norwegianBokmaal",
        "polish",
        "portuguese",
        "portugueseBrazilian",
        "punjabi",
        "romanian",
        "russian",
        "serbianCyrillic",
        "serbianLatin",
        "slovak",
        "slovenian",
        "spanish",
        "swedish",
        "tamil",
        "telugu",
        "turkish",
        "ukrainian",
        "urdu"
      ],
      "x-ms-enum": {
        "name": "MicrosoftStemmingTokenizerLanguage",
        "modelAsString": false,
        "values": [
          {
            "value": "arabic",
            "name": "Arabic",
            "description": "Selects the Microsoft stemming tokenizer for Arabic."
          },
          {
            "value": "bangla",
            "name": "Bangla",
            "description": "Selects the Microsoft stemming tokenizer for Bangla."
          },
          {
            "value": "bulgarian",
            "name": "Bulgarian",
            "description": "Selects the Microsoft stemming tokenizer for Bulgarian."
          },
          {
            "value": "catalan",
            "name": "Catalan",
            "description": "Selects the Microsoft stemming tokenizer for Catalan."
          },
          {
            "value": "croatian",
            "name": "Croatian",
            "description": "Selects the Microsoft stemming tokenizer for Croatian."
          },
          {
            "value": "czech",
            "name": "Czech",
            "description": "Selects the Microsoft stemming tokenizer for Czech."
          },
          {
            "value": "danish",
            "name": "Danish",
            "description": "Selects the Microsoft stemming tokenizer for Danish."
          },
          {
            "value": "dutch",
            "name": "Dutch",
            "description": "Selects the Microsoft stemming tokenizer for Dutch."
          },
          {
            "value": "english",
            "name": "English",
            "description": "Selects the Microsoft stemming tokenizer for English."
          },
          {
            "value": "estonian",
            "name": "Estonian",
            "description": "Selects the Microsoft stemming tokenizer for Estonian."
          },
          {
            "value": "finnish",
            "name": "Finnish",
            "description": "Selects the Microsoft stemming tokenizer for Finnish."
          },
          {
            "value": "french",
            "name": "French",
            "description": "Selects the Microsoft stemming tokenizer for French."
          },
          {
            "value": "german",
            "name": "German",
            "description": "Selects the Microsoft stemming tokenizer for German."
          },
          {
            "value": "greek",
            "name": "Greek",
            "description": "Selects the Microsoft stemming tokenizer for Greek."
          },
          {
            "value": "gujarati",
            "name": "Gujarati",
            "description": "Selects the Microsoft stemming tokenizer for Gujarati."
          },
          {
            "value": "hebrew",
            "name": "Hebrew",
            "description": "Selects the Microsoft stemming tokenizer for Hebrew."
          },
          {
            "value": "hindi",
            "name": "Hindi",
            "description": "Selects the Microsoft stemming tokenizer for Hindi."
          },
          {
            "value": "hungarian",
            "name": "Hungarian",
            "description": "Selects the Microsoft stemming tokenizer for Hungarian."
          },
          {
            "value": "icelandic",
            "name": "Icelandic",
            "description": "Selects the Microsoft stemming tokenizer for Icelandic."
          },
          {
            "value": "indonesian",
            "name": "Indonesian",
            "description": "Selects the Microsoft stemming tokenizer for Indonesian."
          },
          {
            "value": "italian",
            "name": "Italian",
            "description": "Selects the Microsoft stemming tokenizer for Italian."
          },
          {
            "value": "kannada",
            "name": "Kannada",
            "description": "Selects the Microsoft stemming tokenizer for Kannada."
          },
          {
            "value": "latvian",
            "name": "Latvian",
            "description": "Selects the Microsoft stemming tokenizer for Latvian."
          },
          {
            "value": "lithuanian",
            "name": "Lithuanian",
            "description": "Selects the Microsoft stemming tokenizer for Lithuanian."
          },
          {
            "value": "malay",
            "name": "Malay",
            "description": "Selects the Microsoft stemming tokenizer for Malay."
          },
          {
            "value": "malayalam",
            "name": "Malayalam",
            "description": "Selects the Microsoft stemming tokenizer for Malayalam."
          },
          {
            "value": "marathi",
            "name": "Marathi",
            "description": "Selects the Microsoft stemming tokenizer for Marathi."
          },
          {
            "value": "norwegianBokmaal",
            "name": "NorwegianBokmaal",
            "description": "Selects the Microsoft stemming tokenizer for Norwegian (Bokmål)."
          },
          {
            "value": "polish",
            "name": "Polish",
            "description": "Selects the Microsoft stemming tokenizer for Polish."
          },
          {
            "value": "portuguese",
            "name": "Portuguese",
            "description": "Selects the Microsoft stemming tokenizer for Portuguese."
          },
          {
            "value": "portugueseBrazilian",
            "name": "PortugueseBrazilian",
            "description": "Selects the Microsoft stemming tokenizer for Portuguese (Brazil)."
          },
          {
            "value": "punjabi",
            "name": "Punjabi",
            "description": "Selects the Microsoft stemming tokenizer for Punjabi."
          },
          {
            "value": "romanian",
            "name": "Romanian",
            "description": "Selects the Microsoft stemming tokenizer for Romanian."
          },
          {
            "value": "russian",
            "name": "Russian",
            "description": "Selects the Microsoft stemming tokenizer for Russian."
          },
          {
            "value": "serbianCyrillic",
            "name": "SerbianCyrillic",
            "description": "Selects the Microsoft stemming tokenizer for Serbian (Cyrillic)."
          },
          {
            "value": "serbianLatin",
            "name": "SerbianLatin",
            "description": "Selects the Microsoft stemming tokenizer for Serbian (Latin)."
          },
          {
            "value": "slovak",
            "name": "Slovak",
            "description": "Selects the Microsoft stemming tokenizer for Slovak."
          },
          {
            "value": "slovenian",
            "name": "Slovenian",
            "description": "Selects the Microsoft stemming tokenizer for Slovenian."
          },
          {
            "value": "spanish",
            "name": "Spanish",
            "description": "Selects the Microsoft stemming tokenizer for Spanish."
          },
          {
            "value": "swedish",
            "name": "Swedish",
            "description": "Selects the Microsoft stemming tokenizer for Swedish."
          },
          {
            "value": "tamil",
            "name": "Tamil",
            "description": "Selects the Microsoft stemming tokenizer for Tamil."
          },
          {
            "value": "telugu",
            "name": "Telugu",
            "description": "Selects the Microsoft stemming tokenizer for Telugu."
          },
          {
            "value": "turkish",
            "name": "Turkish",
            "description": "Selects the Microsoft stemming tokenizer for Turkish."
          },
          {
            "value": "ukrainian",
            "name": "Ukrainian",
            "description": "Selects the Microsoft stemming tokenizer for Ukrainian."
          },
          {
            "value": "urdu",
            "name": "Urdu",
            "description": "Selects the Microsoft stemming tokenizer for Urdu."
          }
        ]
      },
      "description": "Lists the languages supported by the Microsoft language stemming tokenizer."
    },
    "MicrosoftLanguageStemmingTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.MicrosoftLanguageStemmingTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 255,
          "maximum": 300,
          "description": "The maximum token length. Tokens longer than the maximum length are split. Maximum token length that can be used is 300 characters. Tokens longer than 300 characters are first split into tokens of length 300 and then each of those tokens is split based on the max token length set. Default is 255."
        },
        "isSearchTokenizer": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating how the tokenizer is used. Set to true if used as the search tokenizer, set to false if used as the indexing tokenizer. Default is false."
        },
        "language": {
          "$ref": "#/definitions/MicrosoftStemmingTokenizerLanguage",
          "description": "The language to use. The default is English."
        }
      },
      "description": "Divides text using language-specific rules and reduces words to their base forms."
    },
    "NGramTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.NGramTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "minGram": {
          "type": "integer",
          "format": "int32",
          "default": 1,
          "maximum": 300,
          "description": "The minimum n-gram length. Default is 1. Maximum is 300. Must be less than the value of maxGram."
        },
        "maxGram": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "maximum": 300,
          "description": "The maximum n-gram length. Default is 2. Maximum is 300."
        },
        "tokenChars": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/TokenCharacterKind",
            "x-nullable": false
          },
          "description": "Character classes to keep in the tokens."
        }
      },
      "description": "Tokenizes the input into n-grams of the given size(s). This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenizer.html"
      }
    },
    "PathHierarchyTokenizerV2": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.PathHierarchyTokenizerV2",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "delimiter": {
          "type": "string",
          "format": "char",
          "default": "/",
          "description": "The delimiter character to use. Default is \"/\"."
        },
        "replacement": {
          "type": "string",
          "format": "char",
          "default": "/",
          "description": "A value that, if set, replaces the delimiter character. Default is \"/\"."
        },
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 300,
          "maximum": 300,
          "description": "The maximum token length. Default and maximum is 300."
        },
        "reverse": {
          "x-ms-client-name": "ReverseTokenOrder",
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to generate tokens in reverse order. Default is false."
        },
        "skip": {
          "x-ms-client-name": "NumberOfTokensToSkip",
          "type": "integer",
          "format": "int32",
          "default": 0,
          "description": "The number of initial tokens to skip. Default is 0."
        }
      },
      "description": "Tokenizer for path-like hierarchies. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/path/PathHierarchyTokenizer.html"
      }
    },
    "PatternTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.PatternTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "pattern": {
          "type": "string",
          "default": "\\W+",
          "description": "A regular expression pattern to match token separators. Default is an expression that matches one or more non-word characters."
        },
        "flags": {
          "$ref": "#/definitions/RegexFlags",
          "description": "Regular expression flags."
        },
        "group": {
          "type": "integer",
          "format": "int32",
          "default": -1,
          "description": "The zero-based ordinal of the matching group in the regular expression pattern to extract into tokens. Use -1 if you want to use the entire pattern to split the input into tokens, irrespective of matching groups. Default is -1."
        }
      },
      "description": "Tokenizer that uses regex pattern matching to construct distinct tokens. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/pattern/PatternTokenizer.html"
      }
    },
    "LuceneStandardTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.StandardTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 255,
          "description": "The maximum token length. Default is 255. Tokens longer than the maximum length are split."
        }
      },
      "description": "Breaks text following the Unicode Text Segmentation rules. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/StandardTokenizer.html"
      },
      "x-az-search-deprecated": true
    },
    "LuceneStandardTokenizerV2": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.StandardTokenizerV2",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 255,
          "maximum": 300,
          "description": "The maximum token length. Default is 255. Tokens longer than the maximum length are split. The maximum token length that can be used is 300 characters."
        }
      },
      "description": "Breaks text following the Unicode Text Segmentation rules. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/StandardTokenizer.html"
      }
    },
    "UaxUrlEmailTokenizer": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.UaxUrlEmailTokenizer",
      "allOf": [
        {
          "$ref": "#/definitions/LexicalTokenizer"
        }
      ],
      "properties": {
        "maxTokenLength": {
          "type": "integer",
          "format": "int32",
          "default": 255,
          "maximum": 300,
          "description": "The maximum token length. Default is 255. Tokens longer than the maximum length are split. The maximum token length that can be used is 300 characters."
        }
      },
      "description": "Tokenizes urls and emails as one token. This tokenizer is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/UAX29URLEmailTokenizer.html"
      }
    },
    "TokenFilter": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the token filter."
        },
        "name": {
          "type": "string",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/custom-analyzers-in-azure-search#index-attribute-reference"
          },
          "description": "The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters."
        }
      },
      "required": [
        "@odata.type",
        "name"
      ],
      "description": "Base type for token filters.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
      }
    },
    "AsciiFoldingTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.AsciiFoldingTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "preserveOriginal": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether the original token will be kept. Default is false."
        }
      },
      "description": "Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the \"Basic Latin\" Unicode block) into their ASCII equivalents, if such equivalents exist. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html"
      }
    },
    "CjkBigramTokenFilterScripts": {
      "type": "string",
      "enum": [
        "han",
        "hiragana",
        "katakana",
        "hangul"
      ],
      "x-ms-enum": {
        "name": "CjkBigramTokenFilterScripts",
        "modelAsString": false,
        "values": [
          {
            "value": "han",
            "name": "Han",
            "description": "Ignore Han script when forming bigrams of CJK terms."
          },
          {
            "value": "hiragana",
            "name": "Hiragana",
            "description": "Ignore Hiragana script when forming bigrams of CJK terms."
          },
          {
            "value": "katakana",
            "name": "Katakana",
            "description": "Ignore Katakana script when forming bigrams of CJK terms."
          },
          {
            "value": "hangul",
            "name": "Hangul",
            "description": "Ignore Hangul script when forming bigrams of CJK terms."
          }
        ]
      },
      "description": "Scripts that can be ignored by CjkBigramTokenFilter."
    },
    "CjkBigramTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.CjkBigramTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "ignoreScripts": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/CjkBigramTokenFilterScripts",
            "x-nullable": false
          },
          "description": "The scripts to ignore."
        },
        "outputUnigrams": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to output both unigrams and bigrams (if true), or just bigrams (if false). Default is false."
        }
      },
      "description": "Forms bigrams of CJK terms that are generated from the standard tokenizer. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKBigramFilter.html"
      }
    },
    "CommonGramTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.CommonGramTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "commonWords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The set of common words."
        },
        "ignoreCase": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether common words matching will be case insensitive. Default is false."
        },
        "queryMode": {
          "x-ms-client-name": "UseQueryMode",
          "type": "boolean",
          "default": false,
          "description": "A value that indicates whether the token filter is in query mode. When in query mode, the token filter generates bigrams and then removes common words and single terms followed by a common word. Default is false."
        }
      },
      "required": [
        "commonWords"
      ],
      "description": "Construct bigrams for frequently occurring terms while indexing. Single terms are still indexed too, with bigrams overlaid. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/commongrams/CommonGramsFilter.html"
      }
    },
    "DictionaryDecompounderTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.DictionaryDecompounderTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "wordList": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The list of words to match against."
        },
        "minWordSize": {
          "type": "integer",
          "format": "int32",
          "default": 5,
          "maximum": 300,
          "description": "The minimum word size. Only words longer than this get processed. Default is 5. Maximum is 300."
        },
        "minSubwordSize": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "maximum": 300,
          "description": "The minimum subword size. Only subwords longer than this are outputted. Default is 2. Maximum is 300."
        },
        "maxSubwordSize": {
          "type": "integer",
          "format": "int32",
          "default": 15,
          "maximum": 300,
          "description": "The maximum subword size. Only subwords shorter than this are outputted. Default is 15. Maximum is 300."
        },
        "onlyLongestMatch": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to add only the longest matching subword to the output. Default is false."
        }
      },
      "required": [
        "wordList"
      ],
      "description": "Decomposes compound words found in many Germanic languages. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/compound/DictionaryCompoundWordTokenFilter.html"
      }
    },
    "EdgeNGramTokenFilterSide": {
      "type": "string",
      "enum": [
        "front",
        "back"
      ],
      "x-ms-enum": {
        "name": "EdgeNGramTokenFilterSide",
        "modelAsString": false,
        "values": [
          {
            "value": "front",
            "name": "Front",
            "description": "Specifies that the n-gram should be generated from the front of the input."
          },
          {
            "value": "back",
            "name": "Back",
            "description": "Specifies that the n-gram should be generated from the back of the input."
          }
        ]
      },
      "description": "Specifies which side of the input an n-gram should be generated from."
    },
    "EdgeNGramTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.EdgeNGramTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "minGram": {
          "type": "integer",
          "format": "int32",
          "default": 1,
          "description": "The minimum n-gram length. Default is 1. Must be less than the value of maxGram."
        },
        "maxGram": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "description": "The maximum n-gram length. Default is 2."
        },
        "side": {
          "$ref": "#/definitions/EdgeNGramTokenFilterSide",
          "default": "front",
          "description": "Specifies which side of the input the n-gram should be generated from. Default is \"front\"."
        }
      },
      "description": "Generates n-grams of the given size(s) starting from the front or the back of an input token. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenFilter.html"
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      "x-az-search-deprecated": true
    },
    "EdgeNGramTokenFilterV2": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.EdgeNGramTokenFilterV2",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "minGram": {
          "type": "integer",
          "format": "int32",
          "default": 1,
          "maximum": 300,
          "description": "The minimum n-gram length. Default is 1. Maximum is 300. Must be less than the value of maxGram."
        },
        "maxGram": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "maximum": 300,
          "description": "The maximum n-gram length. Default is 2. Maximum is 300."
        },
        "side": {
          "$ref": "#/definitions/EdgeNGramTokenFilterSide",
          "default": "front",
          "description": "Specifies which side of the input the n-gram should be generated from. Default is \"front\"."
        }
      },
      "description": "Generates n-grams of the given size(s) starting from the front or the back of an input token. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenFilter.html"
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    },
    "ElisionTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.ElisionTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "articles": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The set of articles to remove."
        }
      },
      "description": "Removes elisions. For example, \"l'avion\" (the plane) will be converted to \"avion\" (plane). This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html"
      }
    },
    "KeepTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.KeepTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "keepWords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The list of words to keep."
        },
        "keepWordsCase": {
          "x-ms-client-name": "LowerCaseKeepWords",
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to lower case all words first. Default is false."
        }
      },
      "required": [
        "keepWords"
      ],
      "description": "A token filter that only keeps tokens with text contained in a specified list of words. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/KeepWordFilter.html"
      }
    },
    "KeywordMarkerTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.KeywordMarkerTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "keywords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of words to mark as keywords."
        },
        "ignoreCase": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to ignore case. If true, all words are converted to lower case first. Default is false."
        }
      },
      "required": [
        "keywords"
      ],
      "description": "Marks terms as keywords. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/KeywordMarkerFilter.html"
      }
    },
    "LengthTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.LengthTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "min": {
          "x-ms-client-name": "minLength",
          "type": "integer",
          "format": "int32",
          "default": 0,
          "maximum": 300,
          "description": "The minimum length in characters. Default is 0. Maximum is 300. Must be less than the value of max."
        },
        "max": {
          "x-ms-client-name": "maxLength",
          "type": "integer",
          "format": "int32",
          "default": 300,
          "maximum": 300,
          "description": "The maximum length in characters. Default and maximum is 300."
        }
      },
      "description": "Removes words that are too long or too short. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LengthFilter.html"
      }
    },
    "LimitTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.LimitTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "maxTokenCount": {
          "type": "integer",
          "format": "int32",
          "default": 1,
          "description": "The maximum number of tokens to produce. Default is 1."
        },
        "consumeAllTokens": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether all tokens from the input must be consumed even if maxTokenCount is reached. Default is false."
        }
      },
      "description": "Limits the number of tokens while indexing. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LimitTokenCountFilter.html"
      }
    },
    "NGramTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.NGramTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "minGram": {
          "type": "integer",
          "format": "int32",
          "default": 1,
          "description": "The minimum n-gram length. Default is 1. Must be less than the value of maxGram."
        },
        "maxGram": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "description": "The maximum n-gram length. Default is 2."
        }
      },
      "description": "Generates n-grams of the given size(s). This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenFilter.html"
      },
      "x-az-search-deprecated": true
    },
    "NGramTokenFilterV2": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.NGramTokenFilterV2",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "minGram": {
          "type": "integer",
          "format": "int32",
          "default": 1,
          "maximum": 300,
          "description": "The minimum n-gram length. Default is 1. Maximum is 300. Must be less than the value of maxGram."
        },
        "maxGram": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "maximum": 300,
          "description": "The maximum n-gram length. Default is 2. Maximum is 300."
        }
      },
      "description": "Generates n-grams of the given size(s). This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenFilter.html"
      }
    },
    "PatternCaptureTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.PatternCaptureTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "patterns": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of patterns to match against each token."
        },
        "preserveOriginal": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether to return the original token even if one of the patterns matches. Default is true."
        }
      },
      "required": [
        "patterns"
      ],
      "description": "Uses Java regexes to emit multiple tokens - one for each capture group in one or more patterns. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/pattern/PatternCaptureGroupTokenFilter.html"
      }
    },
    "PatternReplaceTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.PatternReplaceTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "pattern": {
          "type": "string",
          "description": "A regular expression pattern."
        },
        "replacement": {
          "type": "string",
          "description": "The replacement text."
        }
      },
      "required": [
        "pattern",
        "replacement"
      ],
      "description": "A character filter that replaces characters in the input string. It uses a regular expression to identify character sequences to preserve and a replacement pattern to identify characters to replace. For example, given the input text \"aa bb aa bb\", pattern \"(aa)\\s+(bb)\", and replacement \"$1#$2\", the result would be \"aa#bb aa#bb\". This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/pattern/PatternReplaceFilter.html"
      }
    },
    "PhoneticEncoder": {
      "type": "string",
      "enum": [
        "metaphone",
        "doubleMetaphone",
        "soundex",
        "refinedSoundex",
        "caverphone1",
        "caverphone2",
        "cologne",
        "nysiis",
        "koelnerPhonetik",
        "haasePhonetik",
        "beiderMorse"
      ],
      "x-ms-enum": {
        "name": "PhoneticEncoder",
        "modelAsString": false,
        "values": [
          {
            "value": "metaphone",
            "name": "Metaphone",
            "description": "Encodes a token into a Metaphone value."
          },
          {
            "value": "doubleMetaphone",
            "name": "DoubleMetaphone",
            "description": "Encodes a token into a double metaphone value."
          },
          {
            "value": "soundex",
            "name": "Soundex",
            "description": "Encodes a token into a Soundex value."
          },
          {
            "value": "refinedSoundex",
            "name": "RefinedSoundex",
            "description": "Encodes a token into a Refined Soundex value."
          },
          {
            "value": "caverphone1",
            "name": "Caverphone1",
            "description": "Encodes a token into a Caverphone 1.0 value."
          },
          {
            "value": "caverphone2",
            "name": "Caverphone2",
            "description": "Encodes a token into a Caverphone 2.0 value."
          },
          {
            "value": "cologne",
            "name": "Cologne",
            "description": "Encodes a token into a Cologne Phonetic value."
          },
          {
            "value": "nysiis",
            "name": "Nysiis",
            "description": "Encodes a token into a NYSIIS value."
          },
          {
            "value": "koelnerPhonetik",
            "name": "KoelnerPhonetik",
            "description": "Encodes a token using the Kölner Phonetik algorithm."
          },
          {
            "value": "haasePhonetik",
            "name": "HaasePhonetik",
            "description": "Encodes a token using the Haase refinement of the Kölner Phonetik algorithm."
          },
          {
            "value": "beiderMorse",
            "name": "BeiderMorse",
            "description": "Encodes a token into a Beider-Morse value."
          }
        ]
      },
      "description": "Identifies the type of phonetic encoder to use with a PhoneticTokenFilter."
    },
    "PhoneticTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.PhoneticTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "encoder": {
          "$ref": "#/definitions/PhoneticEncoder",
          "default": "metaphone",
          "description": "The phonetic encoder to use. Default is \"metaphone\"."
        },
        "replace": {
          "x-ms-client-name": "ReplaceOriginalTokens",
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether encoded tokens should replace original tokens. If false, encoded tokens are added as synonyms. Default is true."
        }
      },
      "description": "Create tokens for phonetic matches. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "https://lucene.apache.org/core/4_10_3/analyzers-phonetic/org/apache/lucene/analysis/phonetic/package-tree.html"
      }
    },
    "ShingleTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.ShingleTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "maxShingleSize": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "minimum": 2,
          "description": "The maximum shingle size. Default and minimum value is 2."
        },
        "minShingleSize": {
          "type": "integer",
          "format": "int32",
          "default": 2,
          "minimum": 2,
          "description": "The minimum shingle size. Default and minimum value is 2. Must be less than the value of maxShingleSize."
        },
        "outputUnigrams": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether the output stream will contain the input tokens (unigrams) as well as shingles. Default is true."
        },
        "outputUnigramsIfNoShingles": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to output unigrams for those times when no shingles are available. This property takes precedence when outputUnigrams is set to false. Default is false."
        },
        "tokenSeparator": {
          "type": "string",
          "default": " ",
          "description": "The string to use when joining adjacent tokens to form a shingle. Default is a single space (\" \")."
        },
        "filterToken": {
          "type": "string",
          "default": "_",
          "description": "The string to insert for each position at which there is no token. Default is an underscore (\"_\")."
        }
      },
      "description": "Creates combinations of tokens as a single token. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/shingle/ShingleFilter.html"
      }
    },
    "SnowballTokenFilterLanguage": {
      "type": "string",
      "enum": [
        "armenian",
        "basque",
        "catalan",
        "danish",
        "dutch",
        "english",
        "finnish",
        "french",
        "german",
        "german2",
        "hungarian",
        "italian",
        "kp",
        "lovins",
        "norwegian",
        "porter",
        "portuguese",
        "romanian",
        "russian",
        "spanish",
        "swedish",
        "turkish"
      ],
      "x-ms-enum": {
        "name": "SnowballTokenFilterLanguage",
        "modelAsString": false,
        "values": [
          {
            "value": "armenian",
            "name": "Armenian",
            "description": "Selects the Lucene Snowball stemming tokenizer for Armenian."
          },
          {
            "value": "basque",
            "name": "Basque",
            "description": "Selects the Lucene Snowball stemming tokenizer for Basque."
          },
          {
            "value": "catalan",
            "name": "Catalan",
            "description": "Selects the Lucene Snowball stemming tokenizer for Catalan."
          },
          {
            "value": "danish",
            "name": "Danish",
            "description": "Selects the Lucene Snowball stemming tokenizer for Danish."
          },
          {
            "value": "dutch",
            "name": "Dutch",
            "description": "Selects the Lucene Snowball stemming tokenizer for Dutch."
          },
          {
            "value": "english",
            "name": "English",
            "description": "Selects the Lucene Snowball stemming tokenizer for English."
          },
          {
            "value": "finnish",
            "name": "Finnish",
            "description": "Selects the Lucene Snowball stemming tokenizer for Finnish."
          },
          {
            "value": "french",
            "name": "French",
            "description": "Selects the Lucene Snowball stemming tokenizer for French."
          },
          {
            "value": "german",
            "name": "German",
            "description": "Selects the Lucene Snowball stemming tokenizer for German."
          },
          {
            "value": "german2",
            "name": "German2",
            "description": "Selects the Lucene Snowball stemming tokenizer that uses the German variant algorithm."
          },
          {
            "value": "hungarian",
            "name": "Hungarian",
            "description": "Selects the Lucene Snowball stemming tokenizer for Hungarian."
          },
          {
            "value": "italian",
            "name": "Italian",
            "description": "Selects the Lucene Snowball stemming tokenizer for Italian."
          },
          {
            "value": "kp",
            "name": "Kp",
            "description": "Selects the Lucene Snowball stemming tokenizer for Dutch that uses the Kraaij-Pohlmann stemming algorithm."
          },
          {
            "value": "lovins",
            "name": "Lovins",
            "description": "Selects the Lucene Snowball stemming tokenizer for English that uses the Lovins stemming algorithm."
          },
          {
            "value": "norwegian",
            "name": "Norwegian",
            "description": "Selects the Lucene Snowball stemming tokenizer for Norwegian."
          },
          {
            "value": "porter",
            "name": "Porter",
            "description": "Selects the Lucene Snowball stemming tokenizer for English that uses the Porter stemming algorithm."
          },
          {
            "value": "portuguese",
            "name": "Portuguese",
            "description": "Selects the Lucene Snowball stemming tokenizer for Portuguese."
          },
          {
            "value": "romanian",
            "name": "Romanian",
            "description": "Selects the Lucene Snowball stemming tokenizer for Romanian."
          },
          {
            "value": "russian",
            "name": "Russian",
            "description": "Selects the Lucene Snowball stemming tokenizer for Russian."
          },
          {
            "value": "spanish",
            "name": "Spanish",
            "description": "Selects the Lucene Snowball stemming tokenizer for Spanish."
          },
          {
            "value": "swedish",
            "name": "Swedish",
            "description": "Selects the Lucene Snowball stemming tokenizer for Swedish."
          },
          {
            "value": "turkish",
            "name": "Turkish",
            "description": "Selects the Lucene Snowball stemming tokenizer for Turkish."
          }
        ]
      },
      "description": "The language to use for a Snowball token filter."
    },
    "SnowballTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.SnowballTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "language": {
          "$ref": "#/definitions/SnowballTokenFilterLanguage",
          "description": "The language to use."
        }
      },
      "required": [
        "language"
      ],
      "description": "A filter that stems words using a Snowball-generated stemmer. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/snowball/SnowballFilter.html"
      }
    },
    "StemmerTokenFilterLanguage": {
      "type": "string",
      "enum": [
        "arabic",
        "armenian",
        "basque",
        "brazilian",
        "bulgarian",
        "catalan",
        "czech",
        "danish",
        "dutch",
        "dutchKp",
        "english",
        "lightEnglish",
        "minimalEnglish",
        "possessiveEnglish",
        "porter2",
        "lovins",
        "finnish",
        "lightFinnish",
        "french",
        "lightFrench",
        "minimalFrench",
        "galician",
        "minimalGalician",
        "german",
        "german2",
        "lightGerman",
        "minimalGerman",
        "greek",
        "hindi",
        "hungarian",
        "lightHungarian",
        "indonesian",
        "irish",
        "italian",
        "lightItalian",
        "sorani",
        "latvian",
        "norwegian",
        "lightNorwegian",
        "minimalNorwegian",
        "lightNynorsk",
        "minimalNynorsk",
        "portuguese",
        "lightPortuguese",
        "minimalPortuguese",
        "portugueseRslp",
        "romanian",
        "russian",
        "lightRussian",
        "spanish",
        "lightSpanish",
        "swedish",
        "lightSwedish",
        "turkish"
      ],
      "x-ms-enum": {
        "name": "StemmerTokenFilterLanguage",
        "modelAsString": false,
        "values": [
          {
            "value": "arabic",
            "name": "Arabic",
            "description": "Selects the Lucene stemming tokenizer for Arabic."
          },
          {
            "value": "armenian",
            "name": "Armenian",
            "description": "Selects the Lucene stemming tokenizer for Armenian."
          },
          {
            "value": "basque",
            "name": "Basque",
            "description": "Selects the Lucene stemming tokenizer for Basque."
          },
          {
            "value": "brazilian",
            "name": "Brazilian",
            "description": "Selects the Lucene stemming tokenizer for Portuguese (Brazil)."
          },
          {
            "value": "bulgarian",
            "name": "Bulgarian",
            "description": "Selects the Lucene stemming tokenizer for Bulgarian."
          },
          {
            "value": "catalan",
            "name": "Catalan",
            "description": "Selects the Lucene stemming tokenizer for Catalan."
          },
          {
            "value": "czech",
            "name": "Czech",
            "description": "Selects the Lucene stemming tokenizer for Czech."
          },
          {
            "value": "danish",
            "name": "Danish",
            "description": "Selects the Lucene stemming tokenizer for Danish."
          },
          {
            "value": "dutch",
            "name": "Dutch",
            "description": "Selects the Lucene stemming tokenizer for Dutch."
          },
          {
            "value": "dutchKp",
            "name": "DutchKp",
            "description": "Selects the Lucene stemming tokenizer for Dutch that uses the Kraaij-Pohlmann stemming algorithm."
          },
          {
            "value": "english",
            "name": "English",
            "description": "Selects the Lucene stemming tokenizer for English."
          },
          {
            "value": "lightEnglish",
            "name": "LightEnglish",
            "description": "Selects the Lucene stemming tokenizer for English that does light stemming."
          },
          {
            "value": "minimalEnglish",
            "name": "MinimalEnglish",
            "description": "Selects the Lucene stemming tokenizer for English that does minimal stemming."
          },
          {
            "value": "possessiveEnglish",
            "name": "PossessiveEnglish",
            "description": "Selects the Lucene stemming tokenizer for English that removes trailing possessives from words."
          },
          {
            "value": "porter2",
            "name": "Porter2",
            "description": "Selects the Lucene stemming tokenizer for English that uses the Porter2 stemming algorithm."
          },
          {
            "value": "lovins",
            "name": "Lovins",
            "description": "Selects the Lucene stemming tokenizer for English that uses the Lovins stemming algorithm."
          },
          {
            "value": "finnish",
            "name": "Finnish",
            "description": "Selects the Lucene stemming tokenizer for Finnish."
          },
          {
            "value": "lightFinnish",
            "name": "LightFinnish",
            "description": "Selects the Lucene stemming tokenizer for Finnish that does light stemming."
          },
          {
            "value": "french",
            "name": "French",
            "description": "Selects the Lucene stemming tokenizer for French."
          },
          {
            "value": "lightFrench",
            "name": "LightFrench",
            "description": "Selects the Lucene stemming tokenizer for French that does light stemming."
          },
          {
            "value": "minimalFrench",
            "name": "MinimalFrench",
            "description": "Selects the Lucene stemming tokenizer for French that does minimal stemming."
          },
          {
            "value": "galician",
            "name": "Galician",
            "description": "Selects the Lucene stemming tokenizer for Galician."
          },
          {
            "value": "minimalGalician",
            "name": "MinimalGalician",
            "description": "Selects the Lucene stemming tokenizer for Galician that does minimal stemming."
          },
          {
            "value": "german",
            "name": "German",
            "description": "Selects the Lucene stemming tokenizer for German."
          },
          {
            "value": "german2",
            "name": "German2",
            "description": "Selects the Lucene stemming tokenizer that uses the German variant algorithm."
          },
          {
            "value": "lightGerman",
            "name": "LightGerman",
            "description": "Selects the Lucene stemming tokenizer for German that does light stemming."
          },
          {
            "value": "minimalGerman",
            "name": "MinimalGerman",
            "description": "Selects the Lucene stemming tokenizer for German that does minimal stemming."
          },
          {
            "value": "greek",
            "name": "Greek",
            "description": "Selects the Lucene stemming tokenizer for Greek."
          },
          {
            "value": "hindi",
            "name": "Hindi",
            "description": "Selects the Lucene stemming tokenizer for Hindi."
          },
          {
            "value": "hungarian",
            "name": "Hungarian",
            "description": "Selects the Lucene stemming tokenizer for Hungarian."
          },
          {
            "value": "lightHungarian",
            "name": "LightHungarian",
            "description": "Selects the Lucene stemming tokenizer for Hungarian that does light stemming."
          },
          {
            "value": "indonesian",
            "name": "Indonesian",
            "description": "Selects the Lucene stemming tokenizer for Indonesian."
          },
          {
            "value": "irish",
            "name": "Irish",
            "description": "Selects the Lucene stemming tokenizer for Irish."
          },
          {
            "value": "italian",
            "name": "Italian",
            "description": "Selects the Lucene stemming tokenizer for Italian."
          },
          {
            "value": "lightItalian",
            "name": "LightItalian",
            "description": "Selects the Lucene stemming tokenizer for Italian that does light stemming."
          },
          {
            "value": "sorani",
            "name": "Sorani",
            "description": "Selects the Lucene stemming tokenizer for Sorani."
          },
          {
            "value": "latvian",
            "name": "Latvian",
            "description": "Selects the Lucene stemming tokenizer for Latvian."
          },
          {
            "value": "norwegian",
            "name": "Norwegian",
            "description": "Selects the Lucene stemming tokenizer for Norwegian (Bokmål)."
          },
          {
            "value": "lightNorwegian",
            "name": "LightNorwegian",
            "description": "Selects the Lucene stemming tokenizer for Norwegian (Bokmål) that does light stemming."
          },
          {
            "value": "minimalNorwegian",
            "name": "MinimalNorwegian",
            "description": "Selects the Lucene stemming tokenizer for Norwegian (Bokmål) that does minimal stemming."
          },
          {
            "value": "lightNynorsk",
            "name": "LightNynorsk",
            "description": "Selects the Lucene stemming tokenizer for Norwegian (Nynorsk) that does light stemming."
          },
          {
            "value": "minimalNynorsk",
            "name": "MinimalNynorsk",
            "description": "Selects the Lucene stemming tokenizer for Norwegian (Nynorsk) that does minimal stemming."
          },
          {
            "value": "portuguese",
            "name": "Portuguese",
            "description": "Selects the Lucene stemming tokenizer for Portuguese."
          },
          {
            "value": "lightPortuguese",
            "name": "LightPortuguese",
            "description": "Selects the Lucene stemming tokenizer for Portuguese that does light stemming."
          },
          {
            "value": "minimalPortuguese",
            "name": "MinimalPortuguese",
            "description": "Selects the Lucene stemming tokenizer for Portuguese that does minimal stemming."
          },
          {
            "value": "portugueseRslp",
            "name": "PortugueseRslp",
            "description": "Selects the Lucene stemming tokenizer for Portuguese that uses the RSLP stemming algorithm."
          },
          {
            "value": "romanian",
            "name": "Romanian",
            "description": "Selects the Lucene stemming tokenizer for Romanian."
          },
          {
            "value": "russian",
            "name": "Russian",
            "description": "Selects the Lucene stemming tokenizer for Russian."
          },
          {
            "value": "lightRussian",
            "name": "LightRussian",
            "description": "Selects the Lucene stemming tokenizer for Russian that does light stemming."
          },
          {
            "value": "spanish",
            "name": "Spanish",
            "description": "Selects the Lucene stemming tokenizer for Spanish."
          },
          {
            "value": "lightSpanish",
            "name": "LightSpanish",
            "description": "Selects the Lucene stemming tokenizer for Spanish that does light stemming."
          },
          {
            "value": "swedish",
            "name": "Swedish",
            "description": "Selects the Lucene stemming tokenizer for Swedish."
          },
          {
            "value": "lightSwedish",
            "name": "LightSwedish",
            "description": "Selects the Lucene stemming tokenizer for Swedish that does light stemming."
          },
          {
            "value": "turkish",
            "name": "Turkish",
            "description": "Selects the Lucene stemming tokenizer for Turkish."
          }
        ]
      },
      "description": "The language to use for a stemmer token filter."
    },
    "StemmerTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.StemmerTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "language": {
          "$ref": "#/definitions/StemmerTokenFilterLanguage",
          "description": "The language to use."
        }
      },
      "required": [
        "language"
      ],
      "description": "Language specific stemming filter. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#TokenFilters"
      }
    },
    "StemmerOverrideTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.StemmerOverrideTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "rules": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of stemming rules in the following format: \"word => stem\", for example: \"ran => run\"."
        }
      },
      "required": [
        "rules"
      ],
      "description": "Provides the ability to override other stemming filters with custom dictionary-based stemming. Any dictionary-stemmed terms will be marked as keywords so that they will not be stemmed with stemmers down the chain. Must be placed before any stemming filters. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/StemmerOverrideFilter.html"
      }
    },
    "StopwordsList": {
      "type": "string",
      "enum": [
        "arabic",
        "armenian",
        "basque",
        "brazilian",
        "bulgarian",
        "catalan",
        "czech",
        "danish",
        "dutch",
        "english",
        "finnish",
        "french",
        "galician",
        "german",
        "greek",
        "hindi",
        "hungarian",
        "indonesian",
        "irish",
        "italian",
        "latvian",
        "norwegian",
        "persian",
        "portuguese",
        "romanian",
        "russian",
        "sorani",
        "spanish",
        "swedish",
        "thai",
        "turkish"
      ],
      "x-ms-enum": {
        "name": "StopwordsList",
        "modelAsString": false,
        "values": [
          {
            "value": "arabic",
            "name": "Arabic",
            "description": "Selects the stopword list for Arabic."
          },
          {
            "value": "armenian",
            "name": "Armenian",
            "description": "Selects the stopword list for Armenian."
          },
          {
            "value": "basque",
            "name": "Basque",
            "description": "Selects the stopword list for Basque."
          },
          {
            "value": "brazilian",
            "name": "Brazilian",
            "description": "Selects the stopword list for Portuguese (Brazil)."
          },
          {
            "value": "bulgarian",
            "name": "Bulgarian",
            "description": "Selects the stopword list for Bulgarian."
          },
          {
            "value": "catalan",
            "name": "Catalan",
            "description": "Selects the stopword list for Catalan."
          },
          {
            "value": "czech",
            "name": "Czech",
            "description": "Selects the stopword list for Czech."
          },
          {
            "value": "danish",
            "name": "Danish",
            "description": "Selects the stopword list for Danish."
          },
          {
            "value": "dutch",
            "name": "Dutch",
            "description": "Selects the stopword list for Dutch."
          },
          {
            "value": "english",
            "name": "English",
            "description": "Selects the stopword list for English."
          },
          {
            "value": "finnish",
            "name": "Finnish",
            "description": "Selects the stopword list for Finnish."
          },
          {
            "value": "french",
            "name": "French",
            "description": "Selects the stopword list for French."
          },
          {
            "value": "galician",
            "name": "Galician",
            "description": "Selects the stopword list for Galician."
          },
          {
            "value": "german",
            "name": "German",
            "description": "Selects the stopword list for German."
          },
          {
            "value": "greek",
            "name": "Greek",
            "description": "Selects the stopword list for Greek."
          },
          {
            "value": "hindi",
            "name": "Hindi",
            "description": "Selects the stopword list for Hindi."
          },
          {
            "value": "hungarian",
            "name": "Hungarian",
            "description": "Selects the stopword list for Hungarian."
          },
          {
            "value": "indonesian",
            "name": "Indonesian",
            "description": "Selects the stopword list for Indonesian."
          },
          {
            "value": "irish",
            "name": "Irish",
            "description": "Selects the stopword list for Irish."
          },
          {
            "value": "italian",
            "name": "Italian",
            "description": "Selects the stopword list for Italian."
          },
          {
            "value": "latvian",
            "name": "Latvian",
            "description": "Selects the stopword list for Latvian."
          },
          {
            "value": "norwegian",
            "name": "Norwegian",
            "description": "Selects the stopword list for Norwegian."
          },
          {
            "value": "persian",
            "name": "Persian",
            "description": "Selects the stopword list for Persian."
          },
          {
            "value": "portuguese",
            "name": "Portuguese",
            "description": "Selects the stopword list for Portuguese."
          },
          {
            "value": "romanian",
            "name": "Romanian",
            "description": "Selects the stopword list for Romanian."
          },
          {
            "value": "russian",
            "name": "Russian",
            "description": "Selects the stopword list for Russian."
          },
          {
            "value": "sorani",
            "name": "Sorani",
            "description": "Selects the stopword list for Sorani."
          },
          {
            "value": "spanish",
            "name": "Spanish",
            "description": "Selects the stopword list for Spanish."
          },
          {
            "value": "swedish",
            "name": "Swedish",
            "description": "Selects the stopword list for Swedish."
          },
          {
            "value": "thai",
            "name": "Thai",
            "description": "Selects the stopword list for Thai."
          },
          {
            "value": "turkish",
            "name": "Turkish",
            "description": "Selects the stopword list for Turkish."
          }
        ]
      },
      "description": "Identifies a predefined list of language-specific stopwords."
    },
    "StopwordsTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.StopwordsTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "stopwords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The list of stopwords. This property and the stopwords list property cannot both be set."
        },
        "stopwordsList": {
          "$ref": "#/definitions/StopwordsList",
          "default": "english",
          "description": "A predefined list of stopwords to use. This property and the stopwords property cannot both be set. Default is English."
        },
        "ignoreCase": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to ignore case. If true, all words are converted to lower case first. Default is false."
        },
        "removeTrailing": {
          "x-ms-client-name": "RemoveTrailingStopWords",
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether to ignore the last search term if it's a stop word. Default is true."
        }
      },
      "description": "Removes stop words from a token stream. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopFilter.html"
      }
    },
    "SynonymTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.SynonymTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "synonyms": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of synonyms in following one of two formats: 1. incredible, unbelievable, fabulous => amazing - all terms on the left side of => symbol will be replaced with all terms on its right side; 2. incredible, unbelievable, fabulous, amazing - comma separated list of equivalent words. Set the expand option to change how this list is interpreted."
        },
        "ignoreCase": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to case-fold input for matching. Default is false."
        },
        "expand": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether all words in the list of synonyms (if => notation is not used) will map to one another. If true, all words in the list of synonyms (if => notation is not used) will map to one another. The following list: incredible, unbelievable, fabulous, amazing is equivalent to: incredible, unbelievable, fabulous, amazing => incredible, unbelievable, fabulous, amazing. If false, the following list: incredible, unbelievable, fabulous, amazing will be equivalent to: incredible, unbelievable, fabulous, amazing => incredible. Default is true."
        }
      },
      "required": [
        "synonyms"
      ],
      "description": "Matches single or multi-word synonyms in a token stream. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/synonym/SynonymFilter.html"
      }
    },
    "TruncateTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.TruncateTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "length": {
          "type": "integer",
          "format": "int32",
          "default": 300,
          "maximum": 300,
          "description": "The length at which terms will be truncated. Default and maximum is 300."
        }
      },
      "description": "Truncates the terms to a specific length. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/TruncateTokenFilter.html"
      }
    },
    "UniqueTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.UniqueTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "onlyOnSamePosition": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether to remove duplicates only at the same position. Default is false."
        }
      },
      "description": "Filters out tokens with same text as the previous token. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/RemoveDuplicatesTokenFilter.html"
      }
    },
    "WordDelimiterTokenFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.WordDelimiterTokenFilter",
      "allOf": [
        {
          "$ref": "#/definitions/TokenFilter"
        }
      ],
      "properties": {
        "generateWordParts": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether to generate part words. If set, causes parts of words to be generated; for example \"AzureSearch\" becomes \"Azure\" \"Search\". Default is true."
        },
        "generateNumberParts": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether to generate number subwords. Default is true."
        },
        "catenateWords": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether maximum runs of word parts will be catenated. For example, if this is set to true, \"Azure-Search\" becomes \"AzureSearch\". Default is false."
        },
        "catenateNumbers": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether maximum runs of number parts will be catenated. For example, if this is set to true, \"1-2\" becomes \"12\". Default is false."
        },
        "catenateAll": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether all subword parts will be catenated. For example, if this is set to true, \"Azure-Search-1\" becomes \"AzureSearch1\". Default is false."
        },
        "splitOnCaseChange": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether to split words on caseChange. For example, if this is set to true, \"AzureSearch\" becomes \"Azure\" \"Search\". Default is true."
        },
        "preserveOriginal": {
          "type": "boolean",
          "default": false,
          "description": "A value indicating whether original words will be preserved and added to the subword list. Default is false."
        },
        "splitOnNumerics": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether to split on numbers. For example, if this is set to true, \"Azure1Search\" becomes \"Azure\" \"1\" \"Search\". Default is true."
        },
        "stemEnglishPossessive": {
          "type": "boolean",
          "default": true,
          "description": "A value indicating whether to remove trailing \"'s\" for each subword. Default is true."
        },
        "protectedWords": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of tokens to protect from being delimited."
        }
      },
      "description": "Splits words into subwords and performs optional transformations on subword groups. This token filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/WordDelimiterFilter.html"
      }
    },
    "CharFilter": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the char filter."
        },
        "name": {
          "type": "string",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/custom-analyzers-in-azure-search#index-attribute-reference"
          },
          "description": "The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters."
        }
      },
      "required": [
        "@odata.type",
        "name"
      ],
      "description": "Base type for character filters.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
      }
    },
    "MappingCharFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.MappingCharFilter",
      "allOf": [
        {
          "$ref": "#/definitions/CharFilter"
        }
      ],
      "properties": {
        "mappings": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of mappings of the following format: \"a=>b\" (all occurrences of the character \"a\" will be replaced with character \"b\")."
        }
      },
      "required": [
        "mappings"
      ],
      "description": "A character filter that applies mappings defined with the mappings option. Matching is greedy (longest pattern matching at a given point wins). Replacement is allowed to be the empty string. This character filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "https://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/charfilter/MappingCharFilter.html"
      }
    },
    "PatternReplaceCharFilter": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.PatternReplaceCharFilter",
      "allOf": [
        {
          "$ref": "#/definitions/CharFilter"
        }
      ],
      "properties": {
        "pattern": {
          "type": "string",
          "description": "A regular expression pattern."
        },
        "replacement": {
          "type": "string",
          "description": "The replacement text."
        }
      },
      "required": [
        "pattern",
        "replacement"
      ],
      "description": "A character filter that replaces characters in the input string. It uses a regular expression to identify character sequences to preserve and a replacement pattern to identify characters to replace. For example, given the input text \"aa bb aa bb\", pattern \"(aa)\\s+(bb)\", and replacement \"$1#$2\", the result would be \"aa#bb aa#bb\". This character filter is implemented using Apache Lucene.",
      "externalDocs": {
        "url": "https://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/pattern/PatternReplaceCharFilter.html"
      }
    },
    "Similarity": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string"
        }
      },
      "required": [
        "@odata.type"
      ],
      "description": "Base type for similarity algorithms. Similarity algorithms are used to calculate scores that tie queries to documents. The higher the score, the more relevant the document is to that specific query. Those scores are used to rank the search results.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/index-ranking-similarity"
      }
    },
    "ClassicSimilarity": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.ClassicSimilarity",
      "allOf": [
        {
          "$ref": "#/definitions/Similarity"
        }
      ],
      "description": "Legacy similarity algorithm which uses the Lucene TFIDFSimilarity implementation of TF-IDF. This variation of TF-IDF introduces static document length normalization as well as coordinating factors that penalize documents that only partially match the searched queries."
    },
    "BM25Similarity": {
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.BM25Similarity",
      "allOf": [
        {
          "$ref": "#/definitions/Similarity"
        }
      ],
      "properties": {
        "k1": {
          "type": "number",
          "format": "double",
          "description": "This property controls the scaling function between the term frequency of each matching terms and the final relevance score of a document-query pair. By default, a value of 1.2 is used. A value of 0.0 means the score does not scale with an increase in term frequency.",
          "x-nullable": true
        },
        "b": {
          "type": "number",
          "format": "double",
          "description": "This property controls how the length of a document affects the relevance score. By default, a value of 0.75 is used. A value of 0.0 means no length normalization is applied, while a value of 1.0 means the score is fully normalized by the length of the document.",
          "x-nullable": true
        }
      },
      "description": "Ranking function based on the Okapi BM25 similarity algorithm. BM25 is a TF-IDF-like algorithm that includes length normalization (controlled by the 'b' parameter) as well as term frequency saturation (controlled by the 'k1' parameter)."
    },
    "DataSourceCredentials": {
      "properties": {
        "connectionString": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Data-Source"
          },
          "type": "string",
          "description": "The connection string for the datasource. Set to '<unchanged>' if you do not want the connection string updated."
        }
      },
      "description": "Represents credentials that can be used to connect to a datasource."
    },
    "SearchIndexerDataContainer": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The name of the table or view (for Azure SQL data source) or collection (for CosmosDB data source) that will be indexed."
        },
        "query": {
          "type": "string",
          "description": "A query that is applied to this data container. The syntax and meaning of this parameter is datasource-specific. Not supported by Azure SQL datasources."
        }
      },
      "required": [
        "name"
      ],
      "description": "Represents information about the entity (such as Azure SQL table or CosmosDB collection) that will be indexed."
    },
    "DataChangeDetectionPolicy": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the data change detection policy."
        }
      },
      "required": [
        "@odata.type"
      ],
      "description": "Base type for data change detection policies."
    },
    "HighWaterMarkChangeDetectionPolicy": {
      "description": "Defines a data change detection policy that captures changes based on the value of a high water mark column.",
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.HighWaterMarkChangeDetectionPolicy",
      "allOf": [
        {
          "$ref": "#/definitions/DataChangeDetectionPolicy"
        }
      ],
      "properties": {
        "highWaterMarkColumnName": {
          "type": "string",
          "description": "The name of the high water mark column."
        }
      },
      "required": [
        "highWaterMarkColumnName"
      ]
    },
    "SqlIntegratedChangeTrackingPolicy": {
      "description": "Defines a data change detection policy that captures changes using the Integrated Change Tracking feature of Azure SQL Database.",
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.SqlIntegratedChangeTrackingPolicy",
      "allOf": [
        {
          "$ref": "#/definitions/DataChangeDetectionPolicy"
        }
      ]
    },
    "DataDeletionDetectionPolicy": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the data deletion detection policy."
        }
      },
      "required": [
        "@odata.type"
      ],
      "description": "Base type for data deletion detection policies."
    },
    "SoftDeleteColumnDeletionDetectionPolicy": {
      "description": "Defines a data deletion detection policy that implements a soft-deletion strategy. It determines whether an item should be deleted based on the value of a designated 'soft delete' column.",
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.SoftDeleteColumnDeletionDetectionPolicy",
      "allOf": [
        {
          "$ref": "#/definitions/DataDeletionDetectionPolicy"
        }
      ],
      "properties": {
        "softDeleteColumnName": {
          "type": "string",
          "description": "The name of the column to use for soft-deletion detection."
        },
        "softDeleteMarkerValue": {
          "type": "string",
          "description": "The marker value that identifies an item as deleted."
        }
      }
    },
    "SearchIndexerDataSourceType": {
      "type": "string",
      "enum": [
        "azuresql",
        "cosmosdb",
        "azureblob",
        "azuretable",
        "mysql",
        "adlsgen2"
      ],
      "x-ms-enum": {
        "name": "SearchIndexerDataSourceType",
        "modelAsString": true,
        "values": [
          {
            "value": "azuresql",
            "name": "AzureSql",
            "description": "Indicates an Azure SQL datasource."
          },
          {
            "value": "cosmosdb",
            "name": "CosmosDb",
            "description": "Indicates a CosmosDB datasource."
          },
          {
            "value": "azureblob",
            "name": "AzureBlob",
            "description": "Indicates an Azure Blob datasource."
          },
          {
            "value": "azuretable",
            "name": "AzureTable",
            "description": "Indicates an Azure Table datasource."
          },
          {
            "value": "mysql",
            "name": "MySql",
            "description": "Indicates a MySql datasource."
          },
          {
            "value": "adlsgen2",
            "name": "AdlsGen2",
            "description": "Indicates an ADLS Gen2 datasource."
          }
        ]
      },
      "description": "Defines the type of a datasource."
    },
    "SearchIndexerDataSource": {
      "properties": {
        "name": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Naming-rules"
          },
          "type": "string",
          "description": "The name of the datasource."
        },
        "description": {
          "type": "string",
          "description": "The description of the datasource."
        },
        "type": {
          "$ref": "#/definitions/SearchIndexerDataSourceType",
          "description": "The type of the datasource."
        },
        "credentials": {
          "$ref": "#/definitions/DataSourceCredentials",
          "description": "Credentials for the datasource."
        },
        "container": {
          "$ref": "#/definitions/SearchIndexerDataContainer",
          "description": "The data container for the datasource."
        },
        "dataChangeDetectionPolicy": {
          "$ref": "#/definitions/DataChangeDetectionPolicy",
          "x-nullable": true,
          "description": "The data change detection policy for the datasource."
        },
        "dataDeletionDetectionPolicy": {
          "$ref": "#/definitions/DataDeletionDetectionPolicy",
          "x-nullable": true,
          "description": "The data deletion detection policy for the datasource."
        },
        "@odata.etag": {
          "x-ms-client-name": "ETag",
          "type": "string",
          "description": "The ETag of the data source."
        },
        "encryptionKey": {
          "$ref": "#/definitions/SearchResourceEncryptionKey",
          "description": "A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition in Azure Cognitive Search. Once you have encrypted your data source definition, it will always remain encrypted. Azure Cognitive Search will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019.",
          "externalDocs": {
            "url": "https://aka.ms/azure-search-encryption-with-cmk"
          },
          "x-nullable": true
        }
      },
      "required": [
        "name",
        "type",
        "credentials",
        "container"
      ],
      "description": "Represents a datasource definition, which can be used to configure an indexer."
    },
    "ListDataSourcesResult": {
      "properties": {
        "value": {
          "x-ms-client-name": "DataSources",
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/SearchIndexerDataSource"
          },
          "description": "The datasources in the Search service."
        }
      },
      "required": [
        "value"
      ],
      "description": "Response from a List Datasources request. If successful, it includes the full definitions of all datasources."
    },
    "IndexingSchedule": {
      "properties": {
        "interval": {
          "type": "string",
          "format": "duration",
          "description": "The interval of time between indexer executions."
        },
        "startTime": {
          "type": "string",
          "format": "date-time",
          "description": "The time when an indexer should start running."
        }
      },
      "required": [
        "interval"
      ],
      "description": "Represents a schedule for indexer execution."
    },
    "IndexingParameters": {
      "properties": {
        "batchSize": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type."
        },
        "maxFailedItems": {
          "type": "integer",
          "format": "int32",
          "default": 0,
          "x-nullable": true,
          "description": "The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0."
        },
        "maxFailedItemsPerBatch": {
          "type": "integer",
          "format": "int32",
          "default": 0,
          "x-nullable": true,
          "description": "The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0."
        },
        "configuration": {
          "$ref": "#/definitions/IndexingParametersConfiguration"
        }
      },
      "description": "Represents parameters for indexer execution.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/create-indexer#parameters"
      }
    },
    "IndexingParametersConfiguration": {
      "type": "object",
      "properties": {
        "parsingMode": {
          "$ref": "#/definitions/ParsingMode"
        },
        "excludedFileNameExtensions": {
          "type": "string",
          "default": "",
          "description": "Comma-delimited list of filename extensions to ignore when processing from Azure blob storage.  For example, you could exclude \".png, .mp4\" to skip over those files during indexing."
        },
        "indexedFileNameExtensions": {
          "type": "string",
          "default": "",
          "description": "Comma-delimited list of filename extensions to select when processing from Azure blob storage.  For example, you could focus indexing on specific application files \".docx, .pptx, .msg\" to specifically include those file types."
        },
        "failOnUnsupportedContentType": {
          "type": "boolean",
          "default": false,
          "description": "For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance."
        },
        "failOnUnprocessableDocument": {
          "type": "boolean",
          "default": false,
          "description": "For Azure blobs, set to false if you want to continue indexing if a document fails indexing."
        },
        "indexStorageMetadataOnlyForOversizedDocuments": {
          "type": "boolean",
          "default": false,
          "description": "For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://docs.microsoft.com/azure/search/search-limits-quotas-capacity."
        },
        "delimitedTextHeaders": {
          "type": "string",
          "description": "For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index."
        },
        "delimitedTextDelimiter": {
          "type": "string",
          "description": "For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, \"|\")."
        },
        "firstLineContainsHeaders": {
          "type": "boolean",
          "default": true,
          "description": "For CSV blobs, indicates that the first (non-blank) line of each blob contains headers."
        },
        "documentRoot": {
          "type": "string",
          "description": "For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property."
        },
        "dataToExtract": {
          "$ref": "#/definitions/DataToExtract"
        },
        "imageAction": {
          "$ref": "#/definitions/ImageAction"
        },
        "allowSkillsetToReadFileData": {
          "type": "boolean",
          "default": false,
          "description": "If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source.  This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill."
        },
        "pdfTextRotationAlgorithm": {
          "$ref": "#/definitions/PdfTextRotationAlgorithm"
        },
        "executionEnvironment": {
          "$ref": "#/definitions/ExecutionEnvironment"
        },
        "queryTimeout": {
          "type": "string",
          "default": "00:05:00",
          "description": "Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format \"hh:mm:ss\"."
        }
      },
      "additionalProperties": {
        "type": "object"
      },
      "description": "A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/create-indexer#parameters"
      }
    },
    "ParsingMode": {
      "type": "string",
      "enum": [
        "default",
        "text",
        "delimitedText",
        "json",
        "jsonArray",
        "jsonLines"
      ],
      "x-ms-enum": {
        "name": "BlobIndexerParsingMode",
        "modelAsString": true,
        "values": [
          {
            "value": "default",
            "name": "Default",
            "description": "Set to default for normal file processing."
          },
          {
            "value": "text",
            "name": "Text",
            "description": "Set to text to improve indexing performance on plain text files in blob storage."
          },
          {
            "value": "delimitedText",
            "name": "DelimitedText",
            "description": "Set to delimitedText when blobs are plain CSV files."
          },
          {
            "value": "json",
            "name": "Json",
            "description": "Set to json to extract structured content from JSON files."
          },
          {
            "value": "jsonArray",
            "name": "JsonArray",
            "description": "Set to jsonArray to extract individual elements of a JSON array as separate documents in Azure Cognitive Search."
          },
          {
            "value": "jsonLines",
            "name": "JsonLines",
            "description": "Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents in Azure Cognitive Search."
          }
        ]
      },
      "default": "default",
      "description": "Represents the parsing mode for indexing from an Azure blob data source."
    },
    "DataToExtract": {
      "type": "string",
      "enum": [
        "storageMetadata",
        "allMetadata",
        "contentAndMetadata"
      ],
      "x-ms-enum": {
        "name": "BlobIndexerDataToExtract",
        "modelAsString": true,
        "values": [
          {
            "value": "storageMetadata",
            "name": "StorageMetadata",
            "description": "Indexes just the standard blob properties and user-specified metadata."
          },
          {
            "value": "allMetadata",
            "name": "AllMetadata",
            "description": "Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed)."
          },
          {
            "value": "contentAndMetadata",
            "name": "ContentAndMetadata",
            "description": "Extracts all metadata and textual content from each blob."
          }
        ]
      },
      "default": "contentAndMetadata",
      "description": "Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when \"imageAction\" is set to a value other than \"none\".  This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs."
    },
    "ImageAction": {
      "type": "string",
      "enum": [
        "none",
        "generateNormalizedImages",
        "generateNormalizedImagePerPage"
      ],
      "x-ms-enum": {
        "name": "BlobIndexerImageAction",
        "modelAsString": true,
        "values": [
          {
            "value": "none",
            "name": "None",
            "description": "Ignores embedded images or image files in the data set.  This is the default."
          },
          {
            "value": "generateNormalizedImages",
            "name": "GenerateNormalizedImages",
            "description": "Extracts text from images (for example, the word \"STOP\" from a traffic stop sign), and embeds it into the content field.  This action requires that \"dataToExtract\" is set to \"contentAndMetadata\".  A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option."
          },
          {
            "value": "generateNormalizedImagePerPage",
            "name": "GenerateNormalizedImagePerPage",
            "description": "Extracts text from images (for example, the word \"STOP\" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images.  Non-PDF file types will be treated the same as if \"generateNormalizedImages\" was set."
          }
        ]
      },
      "default": "none",
      "description": "Determines how to process embedded images and image files in Azure blob storage.  Setting the \"imageAction\" configuration to any value other than \"none\" requires that a skillset also be attached to that indexer."
    },
    "PdfTextRotationAlgorithm": {
      "type": "string",
      "enum": [
        "none",
        "detectAngles"
      ],
      "x-ms-enum": {
        "name": "BlobIndexerPDFTextRotationAlgorithm",
        "modelAsString": true,
        "values": [
          {
            "value": "none",
            "name": "None",
            "description": "Leverages normal text extraction.  This is the default."
          },
          {
            "value": "detectAngles",
            "name": "DetectAngles",
            "description": "May produce better and more readable text extraction from PDF files that have rotated text within them.  Note that there may be a small performance speed impact when this parameter is used.  This parameter only applies to PDF files, and only to PDFs with embedded text.  If the rotated text appears within an embedded image in the PDF, this parameter does not apply."
          }
        ]
      },
      "default": "none",
      "description": "Determines algorithm for text extraction from PDF files in Azure blob storage."
    },
    "ExecutionEnvironment": {
      "type": "string",
      "enum": [
        "standard",
        "private"
      ],
      "x-ms-enum": {
        "name": "IndexerExecutionEnvironment",
        "modelAsString": true,
        "values": [
          {
            "value": "standard",
            "name": "standard",
            "description": "Indicates that Azure Cognitive Search can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value."
          },
          {
            "value": "private",
            "name": "private",
            "description": "Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources."
          }
        ]
      },
      "default": "standard",
      "description": "Specifies the environment in which the indexer should execute."
    },
    "FieldMappingFunction": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The name of the field mapping function."
        },
        "parameters": {
          "type": "object",
          "additionalProperties": {
            "type": "object"
          },
          "description": "A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type."
        }
      },
      "required": [
        "name"
      ],
      "description": "Represents a function that transforms a value from a data source before indexing.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/search-indexer-field-mappings"
      }
    },
    "FieldMapping": {
      "properties": {
        "sourceFieldName": {
          "type": "string",
          "description": "The name of the field in the data source."
        },
        "targetFieldName": {
          "type": "string",
          "description": "The name of the target field in the index. Same as the source field name by default."
        },
        "mappingFunction": {
          "$ref": "#/definitions/FieldMappingFunction",
          "x-nullable": true,
          "description": "A function to apply to each source field value before indexing."
        }
      },
      "required": [
        "sourceFieldName"
      ],
      "description": "Defines a mapping between a field in a data source and a target field in an index.",
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/search-indexer-field-mappings"
      }
    },
    "SearchIndexer": {
      "properties": {
        "name": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Naming-rules"
          },
          "type": "string",
          "description": "The name of the indexer."
        },
        "description": {
          "type": "string",
          "description": "The description of the indexer."
        },
        "dataSourceName": {
          "type": "string",
          "description": "The name of the datasource from which this indexer reads data."
        },
        "skillsetName": {
          "type": "string",
          "description": "The name of the skillset executing with this indexer."
        },
        "targetIndexName": {
          "type": "string",
          "description": "The name of the index to which this indexer writes data."
        },
        "schedule": {
          "$ref": "#/definitions/IndexingSchedule",
          "x-nullable": true,
          "description": "The schedule for this indexer."
        },
        "parameters": {
          "$ref": "#/definitions/IndexingParameters",
          "x-nullable": true,
          "description": "Parameters for indexer execution."
        },
        "fieldMappings": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/FieldMapping"
          },
          "description": "Defines mappings between fields in the data source and corresponding target fields in the index.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/azure/search/search-indexer-field-mappings"
          }
        },
        "outputFieldMappings": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/FieldMapping"
          },
          "description": "Output field mappings are applied after enrichment and immediately before indexing.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/azure/search/search-indexer-field-mappings"
          }
        },
        "disabled": {
          "x-ms-client-name": "IsDisabled",
          "type": "boolean",
          "default": false,
          "x-nullable": true,
          "description": "A value indicating whether the indexer is disabled. Default is false."
        },
        "@odata.etag": {
          "x-ms-client-name": "ETag",
          "type": "string",
          "description": "The ETag of the indexer."
        },
        "encryptionKey": {
          "$ref": "#/definitions/SearchResourceEncryptionKey",
          "description": "A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them in Azure Cognitive Search. Once you have encrypted your indexer definition, it will always remain encrypted. Azure Cognitive Search will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019.",
          "externalDocs": {
            "url": "https://aka.ms/azure-search-encryption-with-cmk"
          },
          "x-nullable": true
        }
      },
      "required": [
        "name",
        "dataSourceName",
        "targetIndexName"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Indexer-operations"
      },
      "description": "Represents an indexer."
    },
    "ListIndexersResult": {
      "properties": {
        "value": {
          "x-ms-client-name": "Indexers",
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/SearchIndexer"
          },
          "description": "The indexers in the Search service."
        }
      },
      "required": [
        "value"
      ],
      "description": "Response from a List Indexers request. If successful, it includes the full definitions of all indexers."
    },
    "SearchIndexerError": {
      "properties": {
        "key": {
          "type": "string",
          "readOnly": true,
          "description": "The key of the item for which indexing failed."
        },
        "errorMessage": {
          "type": "string",
          "readOnly": true,
          "description": "The message describing the error that occurred while processing the item."
        },
        "statusCode": {
          "type": "integer",
          "format": "int32",
          "x-nullable": false,
          "readOnly": true,
          "description": "The status code indicating why the indexing operation failed. Possible values include: 400 for a malformed input document, 404 for document not found, 409 for a version conflict, 422 when the index is temporarily unavailable, or 503 for when the service is too busy."
        },
        "name": {
          "type": "string",
          "readOnly": true,
          "description": "The name of the source at which the error originated. For example, this could refer to a particular skill in the attached skillset. This may not be always available."
        },
        "details": {
          "type": "string",
          "readOnly": true,
          "description": "Additional, verbose details about the error to assist in debugging the indexer. This may not be always available."
        },
        "documentationLink": {
          "type": "string",
          "readOnly": true,
          "description": "A link to a troubleshooting guide for these classes of errors. This may not be always available."
        }
      },
      "required": [
        "errorMessage",
        "statusCode"
      ],
      "description": "Represents an item- or document-level indexing error."
    },
    "SearchIndexerWarning": {
      "properties": {
        "key": {
          "type": "string",
          "readOnly": true,
          "description": "The key of the item which generated a warning."
        },
        "message": {
          "type": "string",
          "readOnly": true,
          "description": "The message describing the warning that occurred while processing the item."
        },
        "name": {
          "type": "string",
          "readOnly": true,
          "description": "The name of the source at which the warning originated. For example, this could refer to a particular skill in the attached skillset. This may not be always available."
        },
        "details": {
          "type": "string",
          "readOnly": true,
          "description": "Additional, verbose details about the warning to assist in debugging the indexer. This may not be always available."
        },
        "documentationLink": {
          "type": "string",
          "readOnly": true,
          "description": "A link to a troubleshooting guide for these classes of warnings. This may not be always available."
        }
      },
      "required": [
        "message"
      ],
      "description": "Represents an item-level warning."
    },
    "IndexerExecutionResult": {
      "properties": {
        "status": {
          "$ref": "#/definitions/IndexerExecutionStatus",
          "readOnly": true,
          "description": "The outcome of this indexer execution."
        },
        "errorMessage": {
          "type": "string",
          "readOnly": true,
          "description": "The error message indicating the top-level error, if any."
        },
        "startTime": {
          "type": "string",
          "format": "date-time",
          "readOnly": true,
          "description": "The start time of this indexer execution."
        },
        "endTime": {
          "type": "string",
          "format": "date-time",
          "readOnly": true,
          "x-nullable": true,
          "description": "The end time of this indexer execution, if the execution has already completed."
        },
        "errors": {
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/SearchIndexerError"
          },
          "description": "The item-level indexing errors."
        },
        "warnings": {
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/SearchIndexerWarning"
          },
          "description": "The item-level indexing warnings."
        },
        "itemsProcessed": {
          "x-ms-client-name": "ItemCount",
          "type": "integer",
          "format": "int32",
          "x-nullable": false,
          "readOnly": true,
          "description": "The number of items that were processed during this indexer execution. This includes both successfully processed items and items where indexing was attempted but failed."
        },
        "itemsFailed": {
          "x-ms-client-name": "FailedItemCount",
          "type": "integer",
          "format": "int32",
          "x-nullable": false,
          "readOnly": true,
          "description": "The number of items that failed to be indexed during this indexer execution."
        },
        "initialTrackingState": {
          "type": "string",
          "readOnly": true,
          "description": "Change tracking state with which an indexer execution started."
        },
        "finalTrackingState": {
          "type": "string",
          "readOnly": true,
          "description": "Change tracking state with which an indexer execution finished."
        }
      },
      "required": [
        "status",
        "errors",
        "warnings",
        "itemsProcessed",
        "itemsFailed"
      ],
      "description": "Represents the result of an individual indexer execution."
    },
    "IndexerExecutionStatus": {
      "type": "string",
      "enum": [
        "transientFailure",
        "success",
        "inProgress",
        "reset"
      ],
      "x-ms-enum": {
        "name": "IndexerExecutionStatus",
        "modelAsString": false,
        "values": [
          {
            "value": "transientFailure",
            "name": "TransientFailure",
            "description": "An indexer invocation has failed, but the failure may be transient. Indexer invocations will continue per schedule."
          },
          {
            "value": "success",
            "name": "Success",
            "description": "Indexer execution completed successfully."
          },
          {
            "value": "inProgress",
            "name": "InProgress",
            "description": "Indexer execution is in progress."
          },
          {
            "value": "reset",
            "name": "Reset",
            "description": "Indexer has been reset."
          }
        ]
      },
      "x-nullable": false,
      "description": "Represents the status of an individual indexer execution."
    },
    "SearchIndexerStatus": {
      "properties": {
        "status": {
          "$ref": "#/definitions/IndexerStatus",
          "readOnly": true,
          "description": "Overall indexer status."
        },
        "lastResult": {
          "$ref": "#/definitions/IndexerExecutionResult",
          "readOnly": true,
          "description": "The result of the most recent or an in-progress indexer execution."
        },
        "executionHistory": {
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/IndexerExecutionResult"
          },
          "description": "History of the recent indexer executions, sorted in reverse chronological order."
        },
        "limits": {
          "$ref": "#/definitions/SearchIndexerLimits",
          "readOnly": true,
          "description": "The execution limits for the indexer."
        }
      },
      "required": [
        "status",
        "executionHistory",
        "limits"
      ],
      "description": "Represents the current status and execution history of an indexer."
    },
    "IndexerStatus": {
      "type": "string",
      "enum": [
        "unknown",
        "error",
        "running"
      ],
      "x-ms-enum": {
        "name": "IndexerStatus",
        "modelAsString": false,
        "values": [
          {
            "value": "unknown",
            "name": "Unknown",
            "description": "Indicates that the indexer is in an unknown state."
          },
          {
            "value": "error",
            "name": "Error",
            "description": "Indicates that the indexer experienced an error that cannot be corrected without human intervention."
          },
          {
            "value": "running",
            "name": "Running",
            "description": "Indicates that the indexer is running normally."
          }
        ]
      },
      "x-nullable": false,
      "description": "Represents the overall indexer status."
    },
    "SearchIndexerLimits": {
      "properties": {
        "maxRunTime": {
          "type": "string",
          "format": "duration",
          "readOnly": true,
          "description": "The maximum duration that the indexer is permitted to run for one execution."
        },
        "maxDocumentExtractionSize": {
          "type": "number",
          "format": "int64",
          "readOnly": true,
          "description": "The maximum size of a document, in bytes, which will be considered valid for indexing."
        },
        "maxDocumentContentCharactersToExtract": {
          "type": "number",
          "format": "int64",
          "readOnly": true,
          "description": "The maximum number of characters that will be extracted from a document picked up for indexing."
        }
      }
    },
    "SearchField": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The name of the field, which must be unique within the fields collection of the index or parent field.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Naming-rules"
          }
        },
        "type": {
          "$ref": "#/definitions/SearchFieldDataType",
          "description": "The data type of the field.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/supported-data-types"
          }
        },
        "key": {
          "type": "boolean",
          "description": "A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields."
        },
        "retrievable": {
          "type": "boolean",
          "description": "A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields and null for complex fields."
        },
        "searchable": {
          "type": "boolean",
          "description": "A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like \"sunny day\", internally it will be split into the individual tokens \"sunny\" and \"day\". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index since Azure Cognitive Search will store an additional tokenized version of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false."
        },
        "filterable": {
          "type": "boolean",
          "description": "A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to \"sunny day\", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields."
        },
        "sortable": {
          "type": "boolean",
          "description": "A value indicating whether to enable the field to be referenced in $orderby expressions. By default Azure Cognitive Search sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields."
        },
        "facetable": {
          "type": "boolean",
          "description": "A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields."
        },
        "analyzer": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Language-support"
          },
          "$ref": "#/definitions/LexicalAnalyzerName",
          "description": "The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields.",
          "x-nullable": true
        },
        "searchAnalyzer": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Language-support"
          },
          "$ref": "#/definitions/LexicalAnalyzerName",
          "description": "The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields.",
          "x-nullable": true
        },
        "indexAnalyzer": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Language-support"
          },
          "$ref": "#/definitions/LexicalAnalyzerName",
          "description": "The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option.  This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields.",
          "x-nullable": true
        },
        "normalizer": {
          "externalDocs": {
            "url": "https://aka.ms/azs-normalizers"
          },
          "$ref": "#/definitions/LexicalNormalizerName",
          "description": "The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields.",
          "x-nullable": true
        },
        "synonymMaps": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Synonym-Map-operations"
          },
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields."
        },
        "fields": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchField"
          },
          "description": "A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields."
        }
      },
      "required": [
        "name",
        "type"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Index"
      },
      "description": "Represents a field in an index definition, which describes the name, data type, and search behavior of a field."
    },
    "TextWeights": {
      "properties": {
        "weights": {
          "type": "object",
          "additionalProperties": {
            "type": "number",
            "format": "double",
            "x-nullable": false
          },
          "description": "The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field."
        }
      },
      "required": [
        "weights"
      ],
      "description": "Defines weights on index fields for which matches should boost scoring in search queries."
    },
    "ScoringFunction": {
      "discriminator": "type",
      "properties": {
        "type": {
          "type": "string",
          "description": "Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case."
        },
        "fieldName": {
          "type": "string",
          "description": "The name of the field used as input to the scoring function."
        },
        "boost": {
          "type": "number",
          "format": "double",
          "description": "A multiplier for the raw score. Must be a positive number not equal to 1.0."
        },
        "interpolation": {
          "$ref": "#/definitions/ScoringFunctionInterpolation",
          "description": "A value indicating how boosting will be interpolated across document scores; defaults to \"Linear\"."
        }
      },
      "required": [
        "type",
        "fieldName",
        "boost"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Add-scoring-profiles-to-a-search-index"
      },
      "description": "Base type for functions that can modify document scores during ranking."
    },
    "DistanceScoringFunction": {
      "x-ms-discriminator-value": "distance",
      "allOf": [
        {
          "$ref": "#/definitions/ScoringFunction"
        }
      ],
      "properties": {
        "distance": {
          "x-ms-client-name": "Parameters",
          "$ref": "#/definitions/DistanceScoringParameters",
          "description": "Parameter values for the distance scoring function."
        }
      },
      "required": [
        "distance"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Add-scoring-profiles-to-a-search-index"
      },
      "description": "Defines a function that boosts scores based on distance from a geographic location."
    },
    "DistanceScoringParameters": {
      "properties": {
        "referencePointParameter": {
          "type": "string",
          "description": "The name of the parameter passed in search queries to specify the reference location."
        },
        "boostingDistance": {
          "type": "number",
          "format": "double",
          "description": "The distance in kilometers from the reference location where the boosting range ends."
        }
      },
      "required": [
        "referencePointParameter",
        "boostingDistance"
      ],
      "description": "Provides parameter values to a distance scoring function."
    },
    "FreshnessScoringFunction": {
      "x-ms-discriminator-value": "freshness",
      "allOf": [
        {
          "$ref": "#/definitions/ScoringFunction"
        }
      ],
      "properties": {
        "freshness": {
          "x-ms-client-name": "Parameters",
          "$ref": "#/definitions/FreshnessScoringParameters",
          "description": "Parameter values for the freshness scoring function."
        }
      },
      "required": [
        "freshness"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Add-scoring-profiles-to-a-search-index"
      },
      "description": "Defines a function that boosts scores based on the value of a date-time field."
    },
    "FreshnessScoringParameters": {
      "properties": {
        "boostingDuration": {
          "type": "string",
          "format": "duration",
          "description": "The expiration period after which boosting will stop for a particular document."
        }
      },
      "required": [
        "boostingDuration"
      ],
      "description": "Provides parameter values to a freshness scoring function."
    },
    "MagnitudeScoringFunction": {
      "x-ms-discriminator-value": "magnitude",
      "allOf": [
        {
          "$ref": "#/definitions/ScoringFunction"
        }
      ],
      "properties": {
        "magnitude": {
          "x-ms-client-name": "Parameters",
          "$ref": "#/definitions/MagnitudeScoringParameters",
          "description": "Parameter values for the magnitude scoring function."
        }
      },
      "required": [
        "magnitude"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Add-scoring-profiles-to-a-search-index"
      },
      "description": "Defines a function that boosts scores based on the magnitude of a numeric field."
    },
    "MagnitudeScoringParameters": {
      "properties": {
        "boostingRangeStart": {
          "type": "number",
          "format": "double",
          "description": "The field value at which boosting starts."
        },
        "boostingRangeEnd": {
          "type": "number",
          "format": "double",
          "description": "The field value at which boosting ends."
        },
        "constantBoostBeyondRange": {
          "x-ms-client-name": "ShouldBoostBeyondRangeByConstant",
          "type": "boolean",
          "description": "A value indicating whether to apply a constant boost for field values beyond the range end value; default is false."
        }
      },
      "required": [
        "boostingRangeStart",
        "boostingRangeEnd"
      ],
      "description": "Provides parameter values to a magnitude scoring function."
    },
    "TagScoringFunction": {
      "x-ms-discriminator-value": "tag",
      "allOf": [
        {
          "$ref": "#/definitions/ScoringFunction"
        }
      ],
      "properties": {
        "tag": {
          "x-ms-client-name": "Parameters",
          "$ref": "#/definitions/TagScoringParameters",
          "description": "Parameter values for the tag scoring function."
        }
      },
      "required": [
        "tag"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Add-scoring-profiles-to-a-search-index"
      },
      "description": "Defines a function that boosts scores of documents with string values matching a given list of tags."
    },
    "TagScoringParameters": {
      "properties": {
        "tagsParameter": {
          "type": "string",
          "description": "The name of the parameter passed in search queries to specify the list of tags to compare against the target field."
        }
      },
      "required": [
        "tagsParameter"
      ],
      "description": "Provides parameter values to a tag scoring function."
    },
    "ScoringFunctionInterpolation": {
      "type": "string",
      "enum": [
        "linear",
        "constant",
        "quadratic",
        "logarithmic"
      ],
      "x-ms-enum": {
        "name": "ScoringFunctionInterpolation",
        "modelAsString": false,
        "values": [
          {
            "value": "linear",
            "name": "Linear",
            "description": "Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions."
          },
          {
            "value": "constant",
            "name": "Constant",
            "description": "Boosts scores by a constant factor."
          },
          {
            "value": "quadratic",
            "name": "Quadratic",
            "description": "Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions."
          },
          {
            "value": "logarithmic",
            "name": "Logarithmic",
            "description": "Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions."
          }
        ]
      },
      "description": "Defines the function used to interpolate score boosting across a range of documents."
    },
    "ScoringProfile": {
      "properties": {
        "name": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Naming-rules"
          },
          "type": "string",
          "description": "The name of the scoring profile."
        },
        "text": {
          "x-ms-client-name": "TextWeights",
          "$ref": "#/definitions/TextWeights",
          "description": "Parameters that boost scoring based on text matches in certain index fields.",
          "x-nullable": true
        },
        "functions": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/ScoringFunction"
          },
          "description": "The collection of functions that influence the scoring of documents."
        },
        "functionAggregation": {
          "$ref": "#/definitions/ScoringFunctionAggregation",
          "description": "A value indicating how the results of individual scoring functions should be combined. Defaults to \"Sum\". Ignored if there are no scoring functions."
        }
      },
      "required": [
        "name"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Add-scoring-profiles-to-a-search-index"
      },
      "description": "Defines parameters for a search index that influence scoring in search queries."
    },
    "ScoringFunctionAggregation": {
      "type": "string",
      "enum": [
        "sum",
        "average",
        "minimum",
        "maximum",
        "firstMatching"
      ],
      "x-ms-enum": {
        "name": "ScoringFunctionAggregation",
        "modelAsString": false,
        "values": [
          {
            "value": "sum",
            "name": "Sum",
            "description": "Boost scores by the sum of all scoring function results."
          },
          {
            "value": "average",
            "name": "Average",
            "description": "Boost scores by the average of all scoring function results."
          },
          {
            "value": "minimum",
            "name": "Minimum",
            "description": "Boost scores by the minimum of all scoring function results."
          },
          {
            "value": "maximum",
            "name": "Maximum",
            "description": "Boost scores by the maximum of all scoring function results."
          },
          {
            "value": "firstMatching",
            "name": "FirstMatching",
            "description": "Boost scores using the first applicable scoring function in the scoring profile."
          }
        ]
      },
      "description": "Defines the aggregation function used to combine the results of all the scoring functions in a scoring profile."
    },
    "CorsOptions": {
      "properties": {
        "allowedOrigins": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended)."
        },
        "maxAgeInSeconds": {
          "type": "integer",
          "format": "int64",
          "description": "The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes.",
          "x-nullable": true
        }
      },
      "required": [
        "allowedOrigins"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Index"
      },
      "description": "Defines options to control Cross-Origin Resource Sharing (CORS) for an index."
    },
    "Suggester": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The name of the suggester."
        },
        "searchMode": {
          "type": "string",
          "enum": [
            "analyzingInfixMatching"
          ],
          "x-ms-enum": {
            "name": "SuggesterSearchMode",
            "modelAsString": false,
            "values": [
              {
                "value": "analyzingInfixMatching",
                "name": "AnalyzingInfixMatching",
                "description": "Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match."
              }
            ]
          },
          "description": "A value indicating the capabilities of the suggester."
        },
        "sourceFields": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "The list of field names to which the suggester applies. Each field must be searchable."
        }
      },
      "required": [
        "name",
        "searchMode",
        "sourceFields"
      ],
      "description": "Defines how the Suggest API should apply to a group of fields in the index."
    },
    "SearchIndex": {
      "properties": {
        "name": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Naming-rules"
          },
          "type": "string",
          "description": "The name of the index."
        },
        "fields": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchField"
          },
          "description": "The fields of the index."
        },
        "scoringProfiles": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/ScoringProfile"
          },
          "description": "The scoring profiles for the index."
        },
        "defaultScoringProfile": {
          "type": "string",
          "description": "The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used."
        },
        "corsOptions": {
          "$ref": "#/definitions/CorsOptions",
          "description": "Options to control Cross-Origin Resource Sharing (CORS) for the index.",
          "x-nullable": true
        },
        "suggesters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/Suggester"
          },
          "description": "The suggesters for the index."
        },
        "analyzers": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/LexicalAnalyzer"
          },
          "description": "The analyzers for the index.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
          }
        },
        "tokenizers": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/LexicalTokenizer"
          },
          "description": "The tokenizers for the index.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
          }
        },
        "tokenFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/TokenFilter"
          },
          "description": "The token filters for the index.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
          }
        },
        "charFilters": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/CharFilter"
          },
          "description": "The character filters for the index.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search"
          }
        },
        "normalizers": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/LexicalNormalizer"
          },
          "description": "The normalizers for the index.",
          "externalDocs": {
            "url": "https://aka.ms/azs-custom-normalizers"
          }
        },
        "encryptionKey": {
          "$ref": "#/definitions/SearchResourceEncryptionKey",
          "description": "A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data in Azure Cognitive Search. Once you have encrypted your data, it will always remain encrypted. Azure Cognitive Search will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019.",
          "externalDocs": {
            "url": "https://aka.ms/azure-search-encryption-with-cmk"
          },
          "x-nullable": true
        },
        "similarity": {
          "$ref": "#/definitions/Similarity",
          "description": "The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/azure/search/index-ranking-similarity"
          }
        },
        "@odata.etag": {
          "x-ms-client-name": "ETag",
          "type": "string",
          "description": "The ETag of the index."
        }
      },
      "required": [
        "name",
        "fields"
      ],
      "description": "Represents a search index definition, which describes the fields and search behavior of an index."
    },
    "GetIndexStatisticsResult": {
      "properties": {
        "documentCount": {
          "type": "integer",
          "format": "int64",
          "x-nullable": false,
          "readOnly": true,
          "description": "The number of documents in the index."
        },
        "storageSize": {
          "type": "integer",
          "format": "int64",
          "x-nullable": false,
          "readOnly": true,
          "description": "The amount of storage in bytes consumed by the index."
        }
      },
      "required": [
        "documentCount",
        "storageSize"
      ],
      "description": "Statistics for a given index. Statistics are collected periodically and are not guaranteed to always be up-to-date."
    },
    "ListIndexesResult": {
      "properties": {
        "value": {
          "x-ms-client-name": "Indexes",
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/SearchIndex"
          },
          "description": "The indexes in the Search service."
        }
      },
      "required": [
        "value"
      ],
      "description": "Response from a List Indexes request. If successful, it includes the full definitions of all indexes."
    },
    "SearchIndexerSkillset": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The name of the skillset."
        },
        "description": {
          "type": "string",
          "description": "The description of the skillset."
        },
        "skills": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchIndexerSkill"
          },
          "description": "A list of skills in the skillset."
        },
        "cognitiveServices": {
          "x-ms-client-name": "CognitiveServicesAccount",
          "$ref": "#/definitions/CognitiveServicesAccount",
          "description": "Details about cognitive services to be used when running skills."
        },
        "knowledgeStore": {
          "$ref": "#/definitions/SearchIndexerKnowledgeStore",
          "description": "Definition of additional projections to azure blob, table, or files, of enriched data."
        },
        "@odata.etag": {
          "x-ms-client-name": "ETag",
          "type": "string",
          "description": "The ETag of the skillset."
        },
        "encryptionKey": {
          "$ref": "#/definitions/SearchResourceEncryptionKey",
          "description": "A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition in Azure Cognitive Search. Once you have encrypted your skillset definition, it will always remain encrypted. Azure Cognitive Search will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019.",
          "externalDocs": {
            "url": "https://aka.ms/azure-search-encryption-with-cmk"
          },
          "x-nullable": true
        }
      },
      "required": [
        "name",
        "skills"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-tutorial-blob"
      },
      "description": "A list of skills."
    },
    "CognitiveServicesAccount": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the cognitive service resource attached to a skillset."
        },
        "description": {
          "type": "string",
          "description": "Description of the cognitive service resource attached to a skillset."
        }
      },
      "required": [
        "@odata.type"
      ],
      "description": "Base type for describing any cognitive service resource attached to a skillset."
    },
    "SearchIndexerKnowledgeStore": {
      "properties": {
        "storageConnectionString": {
          "type": "string",
          "description": "The connection string to the storage account projections will be stored in."
        },
        "projections": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchIndexerKnowledgeStoreProjection",
            "x-nullable": false
          },
          "description": "A list of additional projections to perform during indexing."
        }
      },
      "required": [
        "storageConnectionString",
        "projections"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/knowledge-store-projection-overview"
      },
      "description": "Definition of additional projections to azure blob, table, or files, of enriched data."
    },
    "SearchIndexerKnowledgeStoreProjection": {
      "properties": {
        "tables": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchIndexerKnowledgeStoreTableProjectionSelector",
            "x-nullable": false
          },
          "description": "Projections to Azure Table storage."
        },
        "objects": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchIndexerKnowledgeStoreObjectProjectionSelector",
            "x-nullable": false
          },
          "description": "Projections to Azure Blob storage."
        },
        "files": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchIndexerKnowledgeStoreFileProjectionSelector",
            "x-nullable": false
          },
          "description": "Projections to Azure File storage."
        }
      },
      "description": "Container object for various projection selectors."
    },
    "SearchIndexerKnowledgeStoreProjectionSelector": {
      "properties": {
        "referenceKeyName": {
          "type": "string",
          "description": "Name of reference key to different projection."
        },
        "generatedKeyName": {
          "type": "string",
          "description": "Name of generated key to store projection under."
        },
        "source": {
          "type": "string",
          "description": "Source data to project."
        },
        "sourceContext": {
          "type": "string",
          "description": "Source context for complex projections."
        },
        "inputs": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/InputFieldMappingEntry"
          },
          "description": "Nested inputs for complex projections."
        }
      },
      "description": "Abstract class to share properties between concrete selectors."
    },
    "SearchIndexerKnowledgeStoreBlobProjectionSelector": {
      "properties": {
        "storageContainer": {
          "type": "string",
          "description": "Blob container to store projections in."
        }
      },
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerKnowledgeStoreProjectionSelector"
        }
      ],
      "required": [
        "storageContainer"
      ],
      "description": "Abstract class to share properties between concrete selectors."
    },
    "SearchIndexerKnowledgeStoreTableProjectionSelector": {
      "properties": {
        "tableName": {
          "type": "string",
          "description": "Name of the Azure table to store projected data in."
        }
      },
      "required": [
        "generatedKeyName",
        "tableName"
      ],
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerKnowledgeStoreProjectionSelector"
        }
      ],
      "description": "Description for what data to store in Azure Tables."
    },
    "SearchIndexerKnowledgeStoreObjectProjectionSelector": {
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerKnowledgeStoreBlobProjectionSelector"
        }
      ],
      "description": "Projection definition for what data to store in Azure Blob."
    },
    "SearchIndexerKnowledgeStoreFileProjectionSelector": {
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerKnowledgeStoreBlobProjectionSelector"
        }
      ],
      "description": "Projection definition for what data to store in Azure Files."
    },
    "DefaultCognitiveServicesAccount": {
      "description": "An empty object that represents the default cognitive service resource for a skillset.",
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.DefaultCognitiveServices",
      "allOf": [
        {
          "$ref": "#/definitions/CognitiveServicesAccount"
        }
      ]
    },
    "CognitiveServicesAccountKey": {
      "description": "A cognitive service resource provisioned with a key that is attached to a skillset.",
      "x-ms-discriminator-value": "#Microsoft.Azure.Search.CognitiveServicesByKey",
      "allOf": [
        {
          "$ref": "#/definitions/CognitiveServicesAccount"
        }
      ],
      "properties": {
        "key": {
          "type": "string",
          "description": "The key used to provision the cognitive service resource attached to a skillset."
        }
      },
      "required": [
        "key"
      ]
    },
    "SearchIndexerSkill": {
      "discriminator": "@odata.type",
      "properties": {
        "@odata.type": {
          "type": "string",
          "description": "Identifies the concrete type of the skill."
        },
        "name": {
          "type": "string",
          "description": "The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'."
        },
        "description": {
          "type": "string",
          "description": "The description of the skill which describes the inputs, outputs, and usage of the skill."
        },
        "context": {
          "type": "string",
          "description": "Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document."
        },
        "inputs": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/InputFieldMappingEntry"
          },
          "description": "Inputs of the skills could be a column in the source data set, or the output of an upstream skill."
        },
        "outputs": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/OutputFieldMappingEntry"
          },
          "description": "The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill."
        }
      },
      "required": [
        "@odata.type",
        "inputs",
        "outputs"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-predefined-skills"
      },
      "description": "Base type for skills."
    },
    "CustomEntity": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The top-level entity descriptor. Matches in the skill output will be grouped by this name, and it should represent the \"normalized\" form of the text being found."
        },
        "description": {
          "type": "string",
          "x-nullable": true,
          "description": "This field can be used as a passthrough for custom metadata about the matched text(s). The value of this field will appear with every match of its entity in the skill output."
        },
        "type": {
          "type": "string",
          "x-nullable": true,
          "description": "This field can be used as a passthrough for custom metadata about the matched text(s). The value of this field will appear with every match of its entity in the skill output."
        },
        "subtype": {
          "type": "string",
          "x-nullable": true,
          "description": "This field can be used as a passthrough for custom metadata about the matched text(s). The value of this field will appear with every match of its entity in the skill output."
        },
        "id": {
          "type": "string",
          "x-nullable": true,
          "description": "This field can be used as a passthrough for custom metadata about the matched text(s). The value of this field will appear with every match of its entity in the skill output."
        },
        "caseSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "Defaults to false. Boolean value denoting whether comparisons with the entity name should be sensitive to character casing. Sample case insensitive matches of \"Microsoft\" could be: microsoft, microSoft, MICROSOFT."
        },
        "accentSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "Defaults to false. Boolean value denoting whether comparisons with the entity name should be sensitive to accent."
        },
        "fuzzyEditDistance": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "Defaults to 0. Maximum value of 5. Denotes the acceptable number of divergent characters that would still constitute a match with the entity name. The smallest possible fuzziness for any given match is returned. For instance, if the edit distance is set to 3, \"Windows10\" would still match \"Windows\", \"Windows10\" and \"Windows 7\". When case sensitivity is set to false, case differences do NOT count towards fuzziness tolerance, but otherwise do."
        },
        "defaultCaseSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "Changes the default case sensitivity value for this entity. It be used to change the default value of all aliases caseSensitive values."
        },
        "defaultAccentSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "Changes the default accent sensitivity value for this entity. It be used to change the default value of all aliases accentSensitive values."
        },
        "defaultFuzzyEditDistance": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "Changes the default fuzzy edit distance value for this entity. It can be used to change the default value of all aliases fuzzyEditDistance values."
        },
        "aliases": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/CustomEntityAlias"
          },
          "x-nullable": true,
          "description": "An array of complex objects that can be used to specify alternative spellings or synonyms to the root entity name."
        }
      },
      "required": [
        "name"
      ],
      "description": "An object that contains information about the matches that were found, and related metadata."
    },
    "CustomEntityAlias": {
      "properties": {
        "text": {
          "type": "string",
          "description": "The text of the alias."
        },
        "caseSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "Determine if the alias is case sensitive."
        },
        "accentSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "Determine if the alias is accent sensitive."
        },
        "fuzzyEditDistance": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "Determine the fuzzy edit distance of the alias."
        }
      },
      "required": [
        "text"
      ],
      "description": "A complex object that can be used to specify alternative spellings or synonyms to the root entity name."
    },
    "InputFieldMappingEntry": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The name of the input."
        },
        "source": {
          "type": "string",
          "description": "The source of the input."
        },
        "sourceContext": {
          "type": "string",
          "description": "The source context used for selecting recursive inputs."
        },
        "inputs": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/InputFieldMappingEntry"
          },
          "description": "The recursive inputs used when creating a complex type."
        }
      },
      "required": [
        "name"
      ],
      "description": "Input field mapping for a skill."
    },
    "OutputFieldMappingEntry": {
      "properties": {
        "name": {
          "type": "string",
          "description": "The name of the output defined by the skill."
        },
        "targetName": {
          "type": "string",
          "description": "The target name of the output. It is optional and default to name."
        }
      },
      "required": [
        "name"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/rest/api/searchservice/naming-rules"
      },
      "description": "Output field mapping for a skill."
    },
    "ConditionalSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Util.ConditionalSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-conditional"
      },
      "description": "A skill that enables scenarios that require a Boolean operation to determine the data to assign to an output."
    },
    "KeyPhraseExtractionSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.KeyPhraseExtractionSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "$ref": "#/definitions/KeyPhraseExtractionSkillLanguage",
          "description": "A value indicating which language code to use. Default is en."
        },
        "maxKeyPhraseCount": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "A number indicating how many key phrases to return. If absent, all identified key phrases will be returned."
        },
        "modelVersion": {
          "type": "string",
          "x-nullable": true,
          "description": "The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-keyphrases"
      },
      "description": "A skill that uses text analytics for key phrase extraction."
    },
    "OcrSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Vision.OcrSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "$ref": "#/definitions/OcrSkillLanguage",
          "description": "A value indicating which language code to use. Default is en."
        },
        "detectOrientation": {
          "x-ms-client-name": "ShouldDetectOrientation",
          "type": "boolean",
          "default": false,
          "description": "A value indicating to turn orientation detection on or not. Default is false."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-ocr"
      },
      "description": "A skill that extracts text from image files."
    },
    "ImageAnalysisSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Vision.ImageAnalysisSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "$ref": "#/definitions/ImageAnalysisSkillLanguage",
          "description": "A value indicating which language code to use. Default is en."
        },
        "visualFeatures": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/VisualFeature",
            "x-nullable": false
          },
          "description": "A list of visual features."
        },
        "details": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/ImageDetail",
            "x-nullable": false
          },
          "description": "A string indicating which domain-specific details to return."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-image-analysis"
      },
      "description": "A skill that analyzes image files. It extracts a rich set of visual features based on the image content."
    },
    "LanguageDetectionSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.LanguageDetectionSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultCountryHint": {
          "type": "string",
          "x-nullable": true,
          "description": "A country code to use as a hint to the language detection model if it cannot disambiguate the language."
        },
        "modelVersion": {
          "type": "string",
          "x-nullable": true,
          "description": "The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-language-detection"
      },
      "description": "A skill that detects the language of input text and reports a single language code for every document submitted on the request. The language code is paired with a score indicating the confidence of the analysis."
    },
    "ShaperSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Util.ShaperSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-shaper"
      },
      "description": "A skill for reshaping the outputs. It creates a complex type to support composite fields (also known as multipart fields)."
    },
    "MergeSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.MergeSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "insertPreTag": {
          "type": "string",
          "default": " ",
          "description": "The tag indicates the start of the merged text. By default, the tag is an empty space."
        },
        "insertPostTag": {
          "type": "string",
          "default": " ",
          "description": "The tag indicates the end of the merged text. By default, the tag is an empty space."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-textmerger"
      },
      "description": "A skill for merging two or more strings into a single unified string, with an optional user-defined delimiter separating each component part."
    },
    "EntityRecognitionSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.EntityRecognitionSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "categories": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/EntityCategory",
            "x-nullable": false
          },
          "description": "A list of entity categories that should be extracted."
        },
        "defaultLanguageCode": {
          "$ref": "#/definitions/EntityRecognitionSkillLanguage",
          "description": "A value indicating which language code to use. Default is en."
        },
        "includeTypelessEntities": {
          "type": "boolean",
          "x-nullable": true,
          "description": "Determines whether or not to include entities which are well known but don't conform to a pre-defined type. If this configuration is not set (default), set to null or set to false, entities which don't conform to one of the pre-defined types will not be surfaced."
        },
        "minimumPrecision": {
          "type": "number",
          "format": "double",
          "x-nullable": true,
          "description": "A value between 0 and 1 that be used to only include entities whose confidence score is greater than the value specified. If not set (default), or if explicitly set to null, all entities will be included."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-entity-recognition"
      },
      "description": "Text analytics entity recognition."
    },
    "SentimentSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.SentimentSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "$ref": "#/definitions/SentimentSkillLanguage",
          "description": "A value indicating which language code to use. Default is en."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-sentiment"
      },
      "description": "Text analytics positive-negative sentiment analysis, scored as a floating point value in a range of zero to 1."
    },
    "SentimentSkillV3": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.V3.SentimentSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "type": "string",
          "x-nullable": true,
          "description": "A value indicating which language code to use. Default is en."
        },
        "includeOpinionMining": {
          "type": "boolean",
          "default": false,
          "description": "If set to true, the skill output will include information from Text Analytics for opinion mining, namely targets (nouns or verbs) and their associated assessment (adjective) in the text. Default is false."
        },
        "modelVersion": {
          "type": "string",
          "x-nullable": true,
          "description": "The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-sentiment-v3"
      },
      "description": "Using the Text Analytics API, evaluates unstructured text and for each record, provides sentiment labels (such as \"negative\", \"neutral\" and \"positive\") based on the highest confidence score found by the service at a sentence and document-level."
    },
    "EntityLinkingSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.V3.EntityLinkingSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "type": "string",
          "x-nullable": true,
          "description": "A value indicating which language code to use. Default is en."
        },
        "minimumPrecision": {
          "type": "number",
          "format": "double",
          "minimum": 0.0,
          "maximum": 1.0,
          "x-nullable": true,
          "description": "A value between 0 and 1 that be used to only include entities whose confidence score is greater than the value specified. If not set (default), or if explicitly set to null, all entities will be included."
        },
        "modelVersion": {
          "type": "string",
          "x-nullable": true,
          "description": "The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-entity-linking-v3"
      },
      "description": "Using the Text Analytics API, extracts linked entities from text."
    },
    "EntityRecognitionSkillV3": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.V3.EntityRecognitionSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "categories": {
          "type": "array",
          "items": {
            "type": "string",
            "x-nullable": false
          },
          "description": "A list of entity categories that should be extracted."
        },
        "defaultLanguageCode": {
          "type": "string",
          "x-nullable": true,
          "description": "A value indicating which language code to use. Default is en."
        },
        "minimumPrecision": {
          "type": "number",
          "format": "double",
          "minimum": 0.0,
          "maximum": 1.0,
          "x-nullable": true,
          "description": "A value between 0 and 1 that be used to only include entities whose confidence score is greater than the value specified. If not set (default), or if explicitly set to null, all entities will be included."
        },
        "modelVersion": {
          "type": "string",
          "x-nullable": true,
          "description": "The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-entity-recognition-v3"
      },
      "description": "Using the Text Analytics API, extracts entities of different types from text."
    },
    "PIIDetectionSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.PIIDetectionSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "type": "string",
          "x-nullable": true,
          "description": "A value indicating which language code to use. Default is en."
        },
        "minimumPrecision": {
          "type": "number",
          "format": "double",
          "x-nullable": true,
          "minimum": 0.0,
          "maximum": 1.0,
          "description": "A value between 0 and 1 that be used to only include entities whose confidence score is greater than the value specified. If not set (default), or if explicitly set to null, all entities will be included."
        },
        "maskingMode": {
          "$ref": "#/definitions/PIIDetectionSkillMaskingMode",
          "description": "A parameter that provides various ways to mask the personal information detected in the input text. Default is 'none'."
        },
        "maskingCharacter": {
          "type": "string",
          "x-nullable": true,
          "maxLength": 1,
          "description": "The character used to mask the text if the maskingMode parameter is set to replace. Default is '*'."
        },
        "modelVersion": {
          "type": "string",
          "x-nullable": true,
          "description": "The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary."
        },
        "piiCategories": {
          "type": "array",
          "items": {
            "type": "string",
            "x-nullable": false
          },
          "description": "A list of PII entity categories that should be extracted and masked."
        },
        "domain": {
          "type": "string",
          "x-nullable": true,
          "description": "If specified, will set the PII domain to include only a subset of the entity categories. Possible values include: 'phi', 'none'. Default is 'none'."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-pii-detection"
      },
      "description": "Using the Text Analytics API, extracts personal information from an input text and gives you the option of masking it."
    },
    "SplitSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.SplitSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "$ref": "#/definitions/SplitSkillLanguage",
          "description": "A value indicating which language code to use. Default is en."
        },
        "textSplitMode": {
          "$ref": "#/definitions/TextSplitMode",
          "x-nullable": false,
          "description": "A value indicating which split mode to perform."
        },
        "maximumPageLength": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "The desired maximum page length. Default is 10000."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-textsplit"
      },
      "description": "A skill to split a string into chunks of text."
    },
    "CustomEntityLookupSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.CustomEntityLookupSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultLanguageCode": {
          "$ref": "#/definitions/CustomEntityLookupSkillLanguage",
          "x-nullable": true,
          "description": "A value indicating which language code to use. Default is en."
        },
        "entitiesDefinitionUri": {
          "type": "string",
          "x-nullable": true,
          "description": "Path to a JSON or CSV file containing all the target text to match against. This entity definition is read at the beginning of an indexer run. Any updates to this file during an indexer run will not take effect until subsequent runs. This config must be accessible over HTTPS."
        },
        "inlineEntitiesDefinition": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/CustomEntity"
          },
          "x-nullable": true,
          "description": "The inline CustomEntity definition."
        },
        "globalDefaultCaseSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "A global flag for CaseSensitive. If CaseSensitive is not set in CustomEntity, this value will be the default value."
        },
        "globalDefaultAccentSensitive": {
          "type": "boolean",
          "x-nullable": true,
          "description": "A global flag for AccentSensitive. If AccentSensitive is not set in CustomEntity, this value will be the default value."
        },
        "globalDefaultFuzzyEditDistance": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "A global flag for FuzzyEditDistance. If FuzzyEditDistance is not set in CustomEntity, this value will be the default value."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-custom-entity-lookup"
      },
      "description": "A skill looks for text from a custom, user-defined list of words and phrases."
    },
    "TextTranslationSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Text.TranslationSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "defaultToLanguageCode": {
          "$ref": "#/definitions/TextTranslationSkillLanguage",
          "description": "The language code to translate documents into for documents that don't specify the to language explicitly. "
        },
        "defaultFromLanguageCode": {
          "$ref": "#/definitions/TextTranslationSkillLanguage",
          "description": "The language code to translate documents from for documents that don't specify the from language explicitly."
        },
        "suggestedFrom": {
          "$ref": "#/definitions/TextTranslationSkillLanguage",
          "x-nullable": true,
          "description": "The language code to translate documents from when neither the fromLanguageCode input nor the defaultFromLanguageCode parameter are provided, and the automatic language detection is unsuccessful. Default is en."
        }
      },
      "required": [
        "defaultToLanguageCode"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-text-translation"
      },
      "description": "A skill to translate text from one language to another."
    },
    "DocumentExtractionSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Util.DocumentExtractionSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "parsingMode": {
          "type": "string",
          "x-nullable": true,
          "description": "The parsingMode for the skill. Will be set to 'default' if not defined."
        },
        "dataToExtract": {
          "type": "string",
          "x-nullable": true,
          "description": "The type of data to be extracted for the skill. Will be set to 'contentAndMetadata' if not defined."
        },
        "configuration": {
          "type": "object",
          "additionalProperties": {
            "type": "object"
          },
          "x-nullable": true,
          "description": "A dictionary of configurations for the skill."
        }
      },
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-skill-document-extraction"
      },
      "description": "A skill that extracts content from a file within the enrichment pipeline."
    },
    "WebApiSkill": {
      "x-ms-discriminator-value": "#Microsoft.Skills.Custom.WebApiSkill",
      "allOf": [
        {
          "$ref": "#/definitions/SearchIndexerSkill"
        }
      ],
      "properties": {
        "uri": {
          "type": "string",
          "description": "The url for the Web API."
        },
        "httpHeaders": {
          "$ref": "#/definitions/WebApiHttpHeaders",
          "description": "The headers required to make the http request."
        },
        "httpMethod": {
          "type": "string",
          "description": "The method for the http request."
        },
        "timeout": {
          "type": "string",
          "format": "duration",
          "description": "The desired timeout for the request. Default is 30 seconds."
        },
        "batchSize": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "The desired batch size which indicates number of documents."
        },
        "degreeOfParallelism": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "If set, the number of parallel calls that can be made to the Web API."
        }
      },
      "required": [
        "uri"
      ],
      "externalDocs": {
        "url": "https://docs.microsoft.com/azure/search/cognitive-search-custom-skill-web-api"
      },
      "description": "A skill that can call a Web API endpoint, allowing you to extend a skillset by having it call your custom code."
    },
    "WebApiHttpHeaders": {
      "type": "object",
      "additionalProperties": {
        "type": "string"
      },
      "description": "A dictionary of http request headers."
    },
    "ListSkillsetsResult": {
      "properties": {
        "value": {
          "x-ms-client-name": "Skillsets",
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/SearchIndexerSkillset"
          },
          "description": "The skillsets defined in the Search service."
        }
      },
      "required": [
        "value"
      ],
      "description": "Response from a list skillset request. If successful, it includes the full definitions of all skillsets."
    },
    "TextSplitMode": {
      "type": "string",
      "enum": [
        "pages",
        "sentences"
      ],
      "x-ms-enum": {
        "name": "TextSplitMode",
        "modelAsString": true,
        "values": [
          {
            "value": "pages",
            "name": "Pages",
            "description": "Split the text into individual pages."
          },
          {
            "value": "sentences",
            "name": "Sentences",
            "description": "Split the text into individual sentences."
          }
        ]
      },
      "description": "A value indicating which split mode to perform."
    },
    "VisualFeature": {
      "type": "string",
      "enum": [
        "adult",
        "brands",
        "categories",
        "description",
        "faces",
        "objects",
        "tags"
      ],
      "x-ms-enum": {
        "name": "VisualFeature",
        "modelAsString": true,
        "values": [
          {
            "value": "adult",
            "name": "Adult",
            "description": "Visual features recognized as adult persons."
          },
          {
            "value": "brands",
            "name": "Brands",
            "description": "Visual features recognized as commercial brands."
          },
          {
            "value": "categories",
            "name": "Categories",
            "description": "Categories."
          },
          {
            "value": "description",
            "name": "Description",
            "description": "Description."
          },
          {
            "value": "faces",
            "name": "Faces",
            "description": "Visual features recognized as people faces."
          },
          {
            "value": "objects",
            "name": "Objects",
            "description": "Visual features recognized as objects."
          },
          {
            "value": "tags",
            "name": "Tags",
            "description": "Tags."
          }
        ]
      },
      "description": "The strings indicating what visual feature types to return."
    },
    "ImageDetail": {
      "type": "string",
      "enum": [
        "celebrities",
        "landmarks"
      ],
      "x-ms-enum": {
        "name": "ImageDetail",
        "modelAsString": true,
        "values": [
          {
            "value": "celebrities",
            "name": "Celebrities",
            "description": "Details recognized as celebrities."
          },
          {
            "value": "landmarks",
            "name": "Landmarks",
            "description": "Details recognized as landmarks."
          }
        ]
      },
      "description": "A string indicating which domain-specific details to return."
    },
    "EntityCategory": {
      "type": "string",
      "enum": [
        "location",
        "organization",
        "person",
        "quantity",
        "datetime",
        "url",
        "email"
      ],
      "x-ms-enum": {
        "name": "EntityCategory",
        "modelAsString": true,
        "values": [
          {
            "value": "location",
            "name": "Location",
            "description": "Entities describing a physical location."
          },
          {
            "value": "organization",
            "name": "Organization",
            "description": "Entities describing an organization."
          },
          {
            "value": "person",
            "name": "Person",
            "description": "Entities describing a person."
          },
          {
            "value": "quantity",
            "name": "Quantity",
            "description": "Entities describing a quantity."
          },
          {
            "value": "datetime",
            "name": "Datetime",
            "description": "Entities describing a date and time."
          },
          {
            "value": "url",
            "name": "Url",
            "description": "Entities describing a URL."
          },
          {
            "value": "email",
            "name": "Email",
            "description": "Entities describing an email address."
          }
        ]
      },
      "description": "A string indicating what entity categories to return."
    },
    "PIIDetectionSkillMaskingMode": {
      "type": "string",
      "enum": [
        "none",
        "replace"
      ],
      "x-ms-enum": {
        "name": "PIIDetectionSkillMaskingMode",
        "modelAsString": true,
        "values": [
          {
            "value": "none",
            "name": "None",
            "description": "No masking occurs and the maskedText output will not be returned."
          },
          {
            "value": "replace",
            "name": "Replace",
            "description": "Replaces the detected entities with the character given in the maskingCharacter parameter. The character will be repeated to the length of the detected entity so that the offsets will correctly correspond to both the input text as well as the output maskedText."
          }
        ]
      },
      "description": "A string indicating what maskingMode to use to mask the personal information detected in the input text."
    },
    "SentimentSkillLanguage": {
      "type": "string",
      "enum": [
        "da",
        "nl",
        "en",
        "fi",
        "fr",
        "de",
        "el",
        "it",
        "no",
        "pl",
        "pt-PT",
        "ru",
        "es",
        "sv",
        "tr"
      ],
      "x-ms-enum": {
        "name": "SentimentSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "da",
            "description": "Danish"
          },
          {
            "value": "nl",
            "description": "Dutch"
          },
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "fi",
            "description": "Finnish"
          },
          {
            "value": "fr",
            "description": "French"
          },
          {
            "value": "de",
            "description": "German"
          },
          {
            "value": "el",
            "description": "Greek"
          },
          {
            "value": "it",
            "description": "Italian"
          },
          {
            "value": "no",
            "description": "Norwegian (Bokmaal)"
          },
          {
            "value": "pl",
            "description": "Polish"
          },
          {
            "value": "pt-PT",
            "description": "Portuguese (Portugal)"
          },
          {
            "value": "ru",
            "description": "Russian"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "sv",
            "description": "Swedish"
          },
          {
            "value": "tr",
            "description": "Turkish"
          }
        ]
      },
      "description": "The language codes supported for input text by SentimentSkill."
    },
    "KeyPhraseExtractionSkillLanguage": {
      "type": "string",
      "enum": [
        "da",
        "nl",
        "en",
        "fi",
        "fr",
        "de",
        "it",
        "ja",
        "ko",
        "no",
        "pl",
        "pt-PT",
        "pt-BR",
        "ru",
        "es",
        "sv"
      ],
      "x-ms-enum": {
        "name": "KeyPhraseExtractionSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "da",
            "description": "Danish"
          },
          {
            "value": "nl",
            "description": "Dutch"
          },
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "fi",
            "description": "Finnish"
          },
          {
            "value": "fr",
            "description": "French"
          },
          {
            "value": "de",
            "description": "German"
          },
          {
            "value": "it",
            "description": "Italian"
          },
          {
            "value": "ja",
            "description": "Japanese"
          },
          {
            "value": "ko",
            "description": "Korean"
          },
          {
            "value": "no",
            "description": "Norwegian (Bokmaal)"
          },
          {
            "value": "pl",
            "description": "Polish"
          },
          {
            "value": "pt-PT",
            "description": "Portuguese (Portugal)"
          },
          {
            "value": "pt-BR",
            "description": "Portuguese (Brazil)"
          },
          {
            "value": "ru",
            "description": "Russian"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "sv",
            "description": "Swedish"
          }
        ]
      },
      "description": "The language codes supported for input text by KeyPhraseExtractionSkill."
    },
    "OcrSkillLanguage": {
      "type": "string",
      "enum": [
        "zh-Hans",
        "zh-Hant",
        "cs",
        "da",
        "nl",
        "en",
        "fi",
        "fr",
        "de",
        "el",
        "hu",
        "it",
        "ja",
        "ko",
        "nb",
        "pl",
        "pt",
        "ru",
        "es",
        "sv",
        "tr",
        "ar",
        "ro",
        "sr-Cyrl",
        "sr-Latn",
        "sk",
        "unk"
      ],
      "x-ms-enum": {
        "name": "OcrSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "zh-Hans",
            "description": "Chinese-Simplified"
          },
          {
            "value": "zh-Hant",
            "description": "Chinese-Traditional"
          },
          {
            "value": "cs",
            "description": "Czech"
          },
          {
            "value": "da",
            "description": "Danish"
          },
          {
            "value": "nl",
            "description": "Dutch"
          },
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "fi",
            "description": "Finnish"
          },
          {
            "value": "fr",
            "description": "French"
          },
          {
            "value": "de",
            "description": "German"
          },
          {
            "value": "el",
            "description": "Greek"
          },
          {
            "value": "hu",
            "description": "Hungarian"
          },
          {
            "value": "it",
            "description": "Italian"
          },
          {
            "value": "ja",
            "description": "Japanese"
          },
          {
            "value": "ko",
            "description": "Korean"
          },
          {
            "value": "nb",
            "description": "Norwegian (Bokmaal)"
          },
          {
            "value": "pl",
            "description": "Polish"
          },
          {
            "value": "pt",
            "description": "Portuguese"
          },
          {
            "value": "ru",
            "description": "Russian"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "sv",
            "description": "Swedish"
          },
          {
            "value": "tr",
            "description": "Turkish"
          },
          {
            "value": "ar",
            "description": "Arabic"
          },
          {
            "value": "ro",
            "description": "Romanian"
          },
          {
            "value": "sr-Cyrl",
            "description": "Serbian (Cyrillic, Serbia)"
          },
          {
            "value": "sr-Latn",
            "description": "Serbian (Latin, Serbia)"
          },
          {
            "value": "sk",
            "description": "Slovak"
          },
          {
            "value": "unk",
            "description": "Unknown.  If the language is explicitly set to \"unk\", the language will be auto-detected."
          }
        ]
      },
      "description": "The language codes supported for input by OcrSkill."
    },
    "SplitSkillLanguage": {
      "type": "string",
      "enum": [
        "da",
        "de",
        "en",
        "es",
        "fi",
        "fr",
        "it",
        "ko",
        "pt"
      ],
      "x-ms-enum": {
        "name": "SplitSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "da",
            "description": "Danish"
          },
          {
            "value": "de",
            "description": "German"
          },
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "fi",
            "description": "Finnish"
          },
          {
            "value": "fr",
            "description": "French"
          },
          {
            "value": "it",
            "description": "Italian"
          },
          {
            "value": "ko",
            "description": "Korean"
          },
          {
            "value": "pt",
            "description": "Portuguese"
          }
        ]
      },
      "description": "The language codes supported for input text by SplitSkill."
    },
    "CustomEntityLookupSkillLanguage": {
      "type": "string",
      "enum": [
        "da",
        "de",
        "en",
        "es",
        "fi",
        "fr",
        "it",
        "ko",
        "pt"
      ],
      "x-ms-enum": {
        "name": "CustomEntityLookupSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "da",
            "description": "Danish"
          },
          {
            "value": "de",
            "description": "German"
          },
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "fi",
            "description": "Finnish"
          },
          {
            "value": "fr",
            "description": "French"
          },
          {
            "value": "it",
            "description": "Italian"
          },
          {
            "value": "ko",
            "description": "Korean"
          },
          {
            "value": "pt",
            "description": "Portuguese"
          }
        ]
      },
      "description": "The language codes supported for input text by CustomEntityLookupSkill."
    },
    "EntityRecognitionSkillLanguage": {
      "type": "string",
      "enum": [
        "ar",
        "cs",
        "zh-Hans",
        "zh-Hant",
        "da",
        "nl",
        "en",
        "fi",
        "fr",
        "de",
        "el",
        "hu",
        "it",
        "ja",
        "ko",
        "no",
        "pl",
        "pt-PT",
        "pt-BR",
        "ru",
        "es",
        "sv",
        "tr"
      ],
      "x-ms-enum": {
        "name": "EntityRecognitionSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "ar",
            "description": "Arabic"
          },
          {
            "value": "cs",
            "description": "Czech"
          },
          {
            "value": "zh-Hans",
            "description": "Chinese-Simplified"
          },
          {
            "value": "zh-Hant",
            "description": "Chinese-Traditional"
          },
          {
            "value": "da",
            "description": "Danish"
          },
          {
            "value": "nl",
            "description": "Dutch"
          },
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "fi",
            "description": "Finnish"
          },
          {
            "value": "fr",
            "description": "French"
          },
          {
            "value": "de",
            "description": "German"
          },
          {
            "value": "el",
            "description": "Greek"
          },
          {
            "value": "hu",
            "description": "Hungarian"
          },
          {
            "value": "it",
            "description": "Italian"
          },
          {
            "value": "ja",
            "description": "Japanese"
          },
          {
            "value": "ko",
            "description": "Korean"
          },
          {
            "value": "no",
            "description": "Norwegian (Bokmaal)"
          },
          {
            "value": "pl",
            "description": "Polish"
          },
          {
            "value": "pt-PT",
            "description": "Portuguese (Portugal)"
          },
          {
            "value": "pt-BR",
            "description": "Portuguese (Brazil)"
          },
          {
            "value": "ru",
            "description": "Russian"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "sv",
            "description": "Swedish"
          },
          {
            "value": "tr",
            "description": "Turkish"
          }
        ]
      },
      "description": "The language codes supported for input text by EntityRecognitionSkill."
    },
    "TextTranslationSkillLanguage": {
      "type": "string",
      "enum": [
        "af",
        "ar",
        "bn",
        "bs",
        "bg",
        "yue",
        "ca",
        "zh-Hans",
        "zh-Hant",
        "hr",
        "cs",
        "da",
        "nl",
        "en",
        "et",
        "fj",
        "fil",
        "fi",
        "fr",
        "de",
        "el",
        "ht",
        "he",
        "hi",
        "mww",
        "hu",
        "is",
        "id",
        "it",
        "ja",
        "sw",
        "tlh",
        "ko",
        "lv",
        "lt",
        "mg",
        "ms",
        "mt",
        "nb",
        "fa",
        "pl",
        "pt",
        "otq",
        "ro",
        "ru",
        "sm",
        "sr-Cyrl",
        "sr-Latn",
        "sk",
        "sl",
        "es",
        "sv",
        "ty",
        "ta",
        "te",
        "th",
        "to",
        "tr",
        "uk",
        "ur",
        "vi",
        "cy",
        "yua"
      ],
      "x-ms-enum": {
        "name": "TextTranslationSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "af",
            "description": "Afrikaans"
          },
          {
            "value": "ar",
            "description": "Arabic"
          },
          {
            "value": "bn",
            "description": "Bangla"
          },
          {
            "value": "bs",
            "description": "Bosnian (Latin)"
          },
          {
            "value": "bg",
            "description": "Bulgarian"
          },
          {
            "value": "yue",
            "description": "Cantonese (Traditional)"
          },
          {
            "value": "ca",
            "description": "Catalan"
          },
          {
            "value": "zh-Hans",
            "description": "Chinese Simplified"
          },
          {
            "value": "zh-Hant",
            "description": "Chinese Traditional"
          },
          {
            "value": "hr",
            "description": "Croatian"
          },
          {
            "value": "cs",
            "description": "Czech"
          },
          {
            "value": "da",
            "description": "Danish"
          },
          {
            "value": "nl",
            "description": "Dutch"
          },
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "et",
            "description": "Estonian"
          },
          {
            "value": "fj",
            "description": "Fijian"
          },
          {
            "value": "fil",
            "description": "Filipino"
          },
          {
            "value": "fi",
            "description": "Finnish"
          },
          {
            "value": "fr",
            "description": "French"
          },
          {
            "value": "de",
            "description": "German"
          },
          {
            "value": "el",
            "description": "Greek"
          },
          {
            "value": "ht",
            "description": "Haitian Creole"
          },
          {
            "value": "he",
            "description": "Hebrew"
          },
          {
            "value": "hi",
            "description": "Hindi"
          },
          {
            "value": "mww",
            "description": "Hmong Daw"
          },
          {
            "value": "hu",
            "description": "Hungarian"
          },
          {
            "value": "is",
            "description": "Icelandic"
          },
          {
            "value": "id",
            "description": "Indonesian"
          },
          {
            "value": "it",
            "description": "Italian"
          },
          {
            "value": "ja",
            "description": "Japanese"
          },
          {
            "value": "sw",
            "description": "Kiswahili"
          },
          {
            "value": "tlh",
            "description": "Klingon"
          },
          {
            "value": "ko",
            "description": "Korean"
          },
          {
            "value": "lv",
            "description": "Latvian"
          },
          {
            "value": "lt",
            "description": "Lithuanian"
          },
          {
            "value": "mg",
            "description": "Malagasy"
          },
          {
            "value": "ms",
            "description": "Malay"
          },
          {
            "value": "mt",
            "description": "Maltese"
          },
          {
            "value": "nb",
            "description": "Norwegian"
          },
          {
            "value": "fa",
            "description": "Persian"
          },
          {
            "value": "pl",
            "description": "Polish"
          },
          {
            "value": "pt",
            "description": "Portuguese"
          },
          {
            "value": "otq",
            "description": "Queretaro Otomi"
          },
          {
            "value": "ro",
            "description": "Romanian"
          },
          {
            "value": "ru",
            "description": "Russian"
          },
          {
            "value": "sm",
            "description": "Samoan"
          },
          {
            "value": "sr-Cyrl",
            "description": "Serbian (Cyrillic)"
          },
          {
            "value": "sr-Latn",
            "description": "Serbian (Latin)"
          },
          {
            "value": "sk",
            "description": "Slovak"
          },
          {
            "value": "sl",
            "description": "Slovenian"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "sv",
            "description": "Swedish"
          },
          {
            "value": "ty",
            "description": "Tahitian"
          },
          {
            "value": "ta",
            "description": "Tamil"
          },
          {
            "value": "te",
            "description": "Telugu"
          },
          {
            "value": "th",
            "description": "Thai"
          },
          {
            "value": "to",
            "description": "Tongan"
          },
          {
            "value": "tr",
            "description": "Turkish"
          },
          {
            "value": "uk",
            "description": "Ukrainian"
          },
          {
            "value": "ur",
            "description": "Urdu"
          },
          {
            "value": "vi",
            "description": "Vietnamese"
          },
          {
            "value": "cy",
            "description": "Welsh"
          },
          {
            "value": "yua",
            "description": "Yucatec Maya"
          }
        ]
      },
      "description": "The language codes supported for input text by TextTranslationSkill."
    },
    "ImageAnalysisSkillLanguage": {
      "type": "string",
      "enum": [
        "en",
        "es",
        "ja",
        "pt",
        "zh"
      ],
      "x-ms-enum": {
        "name": "ImageAnalysisSkillLanguage",
        "modelAsString": true,
        "values": [
          {
            "value": "en",
            "description": "English"
          },
          {
            "value": "es",
            "description": "Spanish"
          },
          {
            "value": "ja",
            "description": "Japanese"
          },
          {
            "value": "pt",
            "description": "Portuguese"
          },
          {
            "value": "zh",
            "description": "Chinese"
          }
        ]
      },
      "description": "The language codes supported for input by ImageAnalysisSkill."
    },
    "SynonymMap": {
      "properties": {
        "name": {
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Naming-rules"
          },
          "type": "string",
          "description": "The name of the synonym map."
        },
        "format": {
          "type": "string",
          "enum": [
            "solr"
          ],
          "x-ms-enum": {
            "name": "SynonymMapFormat",
            "modelAsString": false,
            "values": [
              {
                "value": "solr",
                "name": "Solr",
                "description": "Selects the SOLR format for synonym maps."
              }
            ]
          },
          "description": "The format of the synonym map. Only the 'solr' format is currently supported."
        },
        "synonyms": {
          "type": "string",
          "description": "A series of synonym rules in the specified synonym map format. The rules must be separated by newlines.",
          "externalDocs": {
            "url": "https://docs.microsoft.com/rest/api/searchservice/Create-Synonym-Map#SynonymMapFormat"
          }
        },
        "encryptionKey": {
          "$ref": "#/definitions/SearchResourceEncryptionKey",
          "description": "A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data in Azure Cognitive Search. Once you have encrypted your data, it will always remain encrypted. Azure Cognitive Search will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019.",
          "externalDocs": {
            "url": "https://aka.ms/azure-search-encryption-with-cmk"
          },
          "x-nullable": true
        },
        "@odata.etag": {
          "x-ms-client-name": "ETag",
          "type": "string",
          "description": "The ETag of the synonym map."
        }
      },
      "required": [
        "name",
        "format",
        "synonyms"
      ],
      "description": "Represents a synonym map definition."
    },
    "ListSynonymMapsResult": {
      "properties": {
        "value": {
          "x-ms-client-name": "SynonymMaps",
          "type": "array",
          "readOnly": true,
          "items": {
            "$ref": "#/definitions/SynonymMap"
          },
          "description": "The synonym maps in the Search service."
        }
      },
      "required": [
        "value"
      ],
      "description": "Response from a List SynonymMaps request. If successful, it includes the full definitions of all synonym maps."
    },
    "SearchResourceEncryptionKey": {
      "properties": {
        "keyVaultKeyName": {
          "x-ms-client-name": "keyName",
          "type": "string",
          "description": "The name of your Azure Key Vault key to be used to encrypt your data at rest."
        },
        "keyVaultKeyVersion": {
          "x-ms-client-name": "keyVersion",
          "type": "string",
          "description": "The version of your Azure Key Vault key to be used to encrypt your data at rest."
        },
        "keyVaultUri": {
          "x-ms-client-name": "vaultUri",
          "type": "string",
          "description": "The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be https://my-keyvault-name.vault.azure.net."
        },
        "accessCredentials": {
          "$ref": "#/definitions/AzureActiveDirectoryApplicationCredentials",
          "description": "Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead.",
          "externalDocs": {
            "url": "https://aka.ms/azure-search-msi"
          }
        }
      },
      "required": [
        "keyVaultKeyName",
        "keyVaultKeyVersion",
        "keyVaultUri"
      ],
      "description": "A customer-managed encryption key in Azure Key Vault. Keys that you create and manage can be used to encrypt or decrypt data-at-rest in Azure Cognitive Search, such as indexes and synonym maps."
    },
    "AzureActiveDirectoryApplicationCredentials": {
      "properties": {
        "applicationId": {
          "type": "string",
          "description": "An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application."
        },
        "applicationSecret": {
          "type": "string",
          "description": "The authentication key of the specified AAD application."
        }
      },
      "required": [
        "applicationId"
      ],
      "description": "Credentials of a registered application created for your search service, used for authenticated access to the encryption keys stored in Azure Key Vault."
    },
    "ServiceStatistics": {
      "properties": {
        "counters": {
          "$ref": "#/definitions/ServiceCounters",
          "description": "Service level resource counters."
        },
        "limits": {
          "$ref": "#/definitions/ServiceLimits",
          "description": "Service level general limits."
        }
      },
      "required": [
        "counters",
        "limits"
      ],
      "description": "Response from a get service statistics request. If successful, it includes service level counters and limits."
    },
    "ServiceCounters": {
      "properties": {
        "documentCount": {
          "x-ms-client-name": "documentCounter",
          "$ref": "#/definitions/ResourceCounter",
          "description": "Total number of documents across all indexes in the service."
        },
        "indexesCount": {
          "x-ms-client-name": "indexCounter",
          "$ref": "#/definitions/ResourceCounter",
          "description": "Total number of indexes."
        },
        "indexersCount": {
          "x-ms-client-name": "indexerCounter",
          "$ref": "#/definitions/ResourceCounter",
          "description": "Total number of indexers."
        },
        "dataSourcesCount": {
          "x-ms-client-name": "dataSourceCounter",
          "$ref": "#/definitions/ResourceCounter",
          "description": "Total number of data sources."
        },
        "storageSize": {
          "x-ms-client-name": "storageSizeCounter",
          "$ref": "#/definitions/ResourceCounter",
          "description": "Total size of used storage in bytes."
        },
        "synonymMaps": {
          "x-ms-client-name": "synonymMapCounter",
          "$ref": "#/definitions/ResourceCounter",
          "description": "Total number of synonym maps."
        },
        "skillsetCount": {
          "x-ms-client-name": "skillsetCounter",
          "$ref": "#/definitions/ResourceCounter",
          "description": "Total number of skillsets."
        }
      },
      "required": [
        "documentCount",
        "indexesCount",
        "indexersCount",
        "dataSourcesCount",
        "storageSize",
        "synonymMaps"
      ],
      "description": "Represents service-level resource counters and quotas."
    },
    "ServiceLimits": {
      "properties": {
        "maxFieldsPerIndex": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "The maximum allowed fields per index."
        },
        "maxFieldNestingDepthPerIndex": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "The maximum depth which you can nest sub-fields in an index, including the top-level complex field. For example, a/b/c has a nesting depth of 3."
        },
        "maxComplexCollectionFieldsPerIndex": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "The maximum number of fields of type Collection(Edm.ComplexType) allowed in an index."
        },
        "maxComplexObjectsInCollectionsPerDocument": {
          "type": "integer",
          "format": "int32",
          "x-nullable": true,
          "description": "The maximum number of objects in complex collections allowed per document."
        }
      },
      "description": "Represents various service level limits."
    },
    "ResourceCounter": {
      "properties": {
        "usage": {
          "type": "integer",
          "format": "int64",
          "x-nullable": false,
          "description": "The resource usage amount."
        },
        "quota": {
          "type": "integer",
          "format": "int64",
          "x-nullable": true,
          "description": "The resource amount quota."
        }
      },
      "required": [
        "usage"
      ],
      "description": "Represents a resource's usage and quota."
    },
    "SearchError": {
      "properties": {
        "code": {
          "type": "string",
          "readOnly": true,
          "description": "One of a server-defined set of error codes."
        },
        "message": {
          "type": "string",
          "readOnly": true,
          "description": "A human-readable representation of the error."
        },
        "details": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/SearchError"
          },
          "readOnly": true,
          "description": "An array of details about specific errors that led to this reported error."
        }
      },
      "required": [
        "message"
      ],
      "description": "Describes an error condition for the Azure Cognitive Search API."
    }
  },
  "parameters": {
    "ApiVersionParameter": {
      "name": "api-version",
      "in": "query",
      "required": true,
      "type": "string",
      "description": "Client Api Version."
    },
    "ClientRequestIdParameter": {
      "name": "x-ms-client-request-id",
      "in": "header",
      "required": false,
      "type": "string",
      "format": "uuid",
      "description": "The tracking ID sent with the request to help with debugging.",
      "x-ms-client-request-id": true,
      "x-ms-parameter-grouping": {
        "name": "request-options"
      },
      "x-ms-parameter-location": "method"
    },
    "IfMatchParameter": {
      "name": "If-Match",
      "in": "header",
      "required": false,
      "type": "string",
      "description": "Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value.",
      "x-ms-parameter-location": "method"
    },
    "IfNoneMatchParameter": {
      "name": "If-None-Match",
      "in": "header",
      "required": false,
      "type": "string",
      "description": "Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value.",
      "x-ms-parameter-location": "method"
    },
    "PreferHeaderParameter": {
      "name": "Prefer",
      "in": "header",
      "required": true,
      "type": "string",
      "enum": [
        "return=representation"
      ],
      "description": "For HTTP PUT requests, instructs the service to return the created/updated resource on success.",
      "x-ms-parameter-location": "method"
    },
    "EndpointParameter": {
      "name": "endpoint",
      "in": "path",
      "required": true,
      "type": "string",
      "x-ms-skip-url-encoding": true,
      "description": "The endpoint URL of the search service.",
      "x-ms-parameter-location": "client"
    }
  }
}