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Add support for the custom date range metric data in the table aws_cost_usage_* table #2168

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Add support for the custom date range metric data in the table aws_cost_usage_* table #2168

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@ParthaI ParthaI commented Apr 16, 2024 •
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Note: Currently the changes has been made to the table aws_cost_usage

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Example query results

Results 
> with ranked_costs as (
  select
    dimension_1 as account_id,
    dimension_2 as service_name,
    sum(net_unblended_cost_amount)::numeric::money as net_unblended_cost,
    rank() over(partition by dimension_1 order by sum(net_unblended_cost_amount) desc)
  from
    aws_cost_usage
  where
    granularity = 'MONTHLY'
    and dimension_type_1 = 'LINKED_ACCOUNT'
    and dimension_type_2 = 'SERVICE'
  group by
    dimension_1,
    dimension_2
  order by
    dimension_1,
    net_unblended_cost desc
)
select * from ranked_costs where rank <=5
+--------------+-------------------------------------------+--------------------+------+
| account_id   | service_name                              | net_unblended_cost | rank |
+--------------+-------------------------------------------+--------------------+------+
| xxxxxxxxxxxx | Amazon Route 53                           | $776.67            | 1    |
| xxxxxxxxxxxx | Amazon Managed Streaming for Apache Kafka | $684.66            | 2    |
| xxxxxxxxxxxx | Amazon Simple Storage Service             | $120.08            | 3    |
| xxxxxxxxxxxx | AWS CloudTrail                            | $111.90            | 4    |
| xxxxxxxxxxxx | AWS Cost Explorer                         | $87.31             | 5    |
+--------------+-------------------------------------------+--------------------+------+

Time: 3.1s. Rows fetched: 356. Hydrate calls: 356.


> select * from aws_cost_by_account_daily where search_start_time < '2023/10/22'
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| search_start_time         | search_end_time | linked_account_id | period_start              | period_end                | estimated | blended_cost_amount | blended_cost_unit | unblended_cost_amount | unblended_cost_unit | net_unblend>
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| 2023-05-02T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-05-02T05:30:00+05:30 | 2023-05-03T05:30:00+05:30 | false     | 7.3065749693        | USD               | 7.218898293           | USD                 | 7.218898293>
| 2023-04-25T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-04-25T05:30:00+05:30 | 2023-04-26T05:30:00+05:30 | false     | 25.6414311568       | USD               | 25.6508645369         | USD                 | 25.65086453>
| 2023-06-15T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-06-15T05:30:00+05:30 | 2023-06-16T05:30:00+05:30 | false     | 8.1370545102        | USD               | 8.147024372           | USD                 | 8.147024372>
| 2023-06-17T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-06-17T05:30:00+05:30 | 2023-06-18T05:30:00+05:30 | false     | 8.3465296718        | USD               | 8.2176107603          | USD                 | 8.217610

> select * from aws_cost_by_account_daily where search_start_time > '2023/10/22'
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| search_start_time         | search_end_time | linked_account_id | period_start              | period_end                | estimated | blended_cost_amount | blended_cost_unit | unblended_cost_amount | unblended_cost_unit | net_unblend>
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| 2023-10-24T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-10-24T05:30:00+05:30 | 2023-10-25T05:30:00+05:30 | false     | -0.0085295875       | USD               | -0.0000005126         | USD                 | -0.00000051>
| 2023-11-08T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-11-08T05:30:00+05:30 | 2023-11-09T05:30:00+05:30 | false     | 4.7238236635        | USD               | 4.7436674938          | USD                 | 4.743667493>
| 2023-11-06T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-11-06T05:30:00+05:30 | 2023-11-07T05:30:00+05:30 | false     | 4.5955332705        | USD               | 4.6153781606          | USD                 | 4.615378160>
| 2023-10-25T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-10-25T05:30:00+05:30 | 2023-10-26T05:30:00+05:30 | false     | -0.0085291992       | USD               | -0.0000004242         | USD                 | -0.00000042>
| 2023-10-26T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-10-26T05:30:00+05:30 | 2023-10-27T05:30:00+05:30 | false     | -0.0085293691       | USD               | -0.0000004931         | USD                 | -0.00000049>


> select * from aws_cost_by_account_daily where search_start_time = '2023/10/22'
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| search_start_time         | search_end_time | linked_account_id | period_start              | period_end                | estimated | blended_cost_amount | blended_cost_unit | unblended_cost_amount | unblended_cost_unit | net_unblend>
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-04-24T05:30:00+05:30 | 2023-04-25T05:30:00+05:30 | false     | 9.9475961318        | USD               | 9.9570970142          | USD                 | 9.957097014>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-09-12T05:30:00+05:30 | 2023-09-13T05:30:00+05:30 | false     | 4.5732790977        | USD               | 4.5822746311          | USD                 | 4.582274631>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-11-08T05:30:00+05:30 | 2023-11-09T05:30:00+05:30 | false     | 4.7238236635        | USD               | 4.7436674938          | USD                 | 4.743667493>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-05-29T05:30:00+05:30 | 2023-05-30T05:30:00+05:30 | false     | 2.2530854024        | USD               | 2.2621885473          | USD                 | 2.262188547>

> select * from aws_cost_by_account_daily where search_start_time >= '2023-10-22'
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| search_start_time         | search_end_time | linked_account_id | period_start              | period_end                | estimated | blended_cost_amount | blended_cost_unit | unblended_cost_amount | unblended_cost_unit | net_unblend>
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-04-29T05:30:00+05:30 | 2023-04-30T05:30:00+05:30 | false     | 2.3709122983        | USD               | 2.3803209871          | USD                 | 2.380320987>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-05-01T05:30:00+05:30 | 2023-05-02T05:30:00+05:30 | false     | 2.3453632762        | USD               | 2.2576880954          | USD                 | 2.257688095>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-06-22T05:30:00+05:30 | 2023-06-23T05:30:00+05:30 | false     | 32.6410264084       | USD               | 32.6510974782         | USD                 | 32.6510974

> select * from aws_cost_by_account_daily where search_start_time <= '2023-10-22'
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| search_start_time         | search_end_time | linked_account_id | period_start              | period_end                | estimated | blended_cost_amount | blended_cost_unit | unblended_cost_amount | unblended_cost_unit | net_unblend>
+---------------------------+-----------------+-------------------+---------------------------+---------------------------+-----------+---------------------+-------------------+-----------------------+---------------------+------------>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-04-25T05:30:00+05:30 | 2023-04-26T05:30:00+05:30 | false     | 25.6414311568       | USD               | 25.6508645369         | USD                 | 25.65086453>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-05-05T05:30:00+05:30 | 2023-05-06T05:30:00+05:30 | false     | 2.4394110847        | USD               | 2.4485004554          | USD                 | 2.448500455>
| 2023-10-22T05:30:00+05:30 | <null>          | xxxxxxxxxxxx      | 2023-06-05T05:30:00+05:30 | 2023-06-06T05:30:00+05:30 | false     | 2.1222351314        | USD               | 2.1322019932          | USD                 | 2.1322019

@ParthaI ParthaI marked this pull request as draft April 16, 2024 06:22
@ParthaI ParthaI self-assigned this Apr 16, 2024
@ParthaI ParthaI marked this pull request as ready for review April 23, 2024 07:32
@ParthaI ParthaI linked an issue Apr 26, 2024 that may be closed by this pull request
aws_cost_by_service_daily - date filtering parameters not sent to the API #2149
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misraved
misraved reviewed Apr 29, 2024
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aws/table_aws_cost_usage.go Outdated
// Quals columns - to filter the lookups
{
Name: "granularity",
Description: "",
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@ParthaI could you please add the missing descriptions?

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@bigdatasourav bigdatasourav Awaiting requested review from bigdatasourav

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aws_cost_by_service_daily - date filtering parameters not sent to the API
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