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RocksJava API TODO
This page sets out the known TODO items for the RocksJava API, it also shows who is thinking/working on a particular topic; Through this mechanism hopefully we can avoid duplicating effort.
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Fix locking issues with
Slice
/DirectSlice
fromComparator
. Move to thread-local storage of cached slice objects rather than singleSlice
locking with mutex. @adamretter -
Perhaps decide weather to use only
Slice
orDirectSlice
to simplify overall API implementation, probablyDirectSlice
is more memory efficient. -
Use the Slice class in other Java classes where
byte[]
was previously used, so that we better align with C++ API, e.g.RocksIterator
. -
Rework
WBWIIterator
to use bothSlice
andDirectSlice
(see above). -
Introduce
final
on variables/members everywhere they are immutable. @adamretter -
Implement
ldb
for Java. For example, the ability to specify the Comparator which implemented in Java. @adamretter -
Custom merge operator for Java. At the moment it is only possible to use merge operators which are available in C++ but not implementing custom functionality solely in Java. @fyrz
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Expose an AbstractLogger. RocksDB C++ api allows to provide a custom Logger. This shall also be possible from Java side and allows to attach RocksDB logging to application logging facilities. @fyrz
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Port remaining functionality in
db.h
to RocksJava. @fyrz -
Update Statistics/HistogramData to 3.10 @fyrz
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Build isolation. Building Java API should not require building RocksDB. You should be able to use a Java API build with a separate existing RocksDB installation. The Java API native aspect will instead indirectly depend on a shared or static RocksDB lib. @adamretter
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Move on to Java-8, especially because Java-7 is EOL this year.
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Restructure the package layout within the Java part.
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Implement ARM (Automatic Resource Management) e.g.
try-with-resources
Java 7 use viaCloseable
/AutoCloseable
for iterators, db, write batches etc. -
Consider converting callbacks to lambda expressions
Contents
- RocksDB Wiki
- Overview
- RocksDB FAQ
-
Developer's Guide
- Basic Operations
- Known Issues
- Block-based Table Format
- MANIFEST
- Block Cache
- PlainTable Format
- Bloom Filter
- Hash-Based Memtable
- Prefix seek
- Read-Modify-Write Operator
- Tailing Iterator
- Single Delete
- Time to Live (TTL) Support
- Huge Page TLB Support
- Column Families
- Universal compaction style
- FIFO compaction style
- Write Ahead Log File Format
- WAL Recovery Modes
- EventListener
- Rate Limiter
- RocksDB Options File
- Transactions
- Creating and Ingesting SST files
- Statistics
- Perf Context and IO Stats Context
- Logger
- Tools / Utilities
- Implementation Details
- RocksJava
- Performance
- Misc