* Native parallel indexing without shuffle
* fix build
* fix ci
* fix ingestion without intervals
* fix retry
* fix retry
* add it test
* use chat handler
* fix build
* add docs
* fix ITUnionQueryTest
* fix failures
* disable metrics reporting
* working
* Fix split of static-s3 firehose
* Add endpoints to supervisor task and a unit test for endpoints
* increase timeout in test
* Added doc
* Address comments
* Fix overlapping locks
* address comments
* Fix static s3 firehose
* Fix test
* fix build
* fix test
* fix typo in docs
* add missing maxBytesInMemory to doc
* address comments
* fix race in test
* fix test
* Rename to ParallelIndexSupervisorTask
* fix teamcity
* address comments
* Fix license
* addressing comments
* addressing comments
* indexTaskClient-based segmentAllocator instead of CountingActionBasedSegmentAllocator
* Fix race in TaskMonitor and move HTTP endpoints to supervisorTask from runner
* Add more javadocs
* use StringUtils.nonStrictFormat for logging
* fix typo and remove unused class
* fix tests
* change package
* fix strict build
* tmp
* Fix overlord api according to the recent change in master
* Fix it test
* This commit introduces a new tuning config called 'maxBytesInMemory' for ingestion tasks
Currently a config called 'maxRowsInMemory' is present which affects how much memory gets
used for indexing.If this value is not optimal for your JVM heap size, it could lead
to OutOfMemoryError sometimes. A lower value will lead to frequent persists which might
be bad for query performance and a higher value will limit number of persists but require
more jvm heap space and could lead to OOM.
'maxBytesInMemory' is an attempt to solve this problem. It limits the total number of bytes
kept in memory before persisting.
* The default value is 1/3(Runtime.maxMemory())
* To maintain the current behaviour set 'maxBytesInMemory' to -1
* If both 'maxRowsInMemory' and 'maxBytesInMemory' are present, both of them
will be respected i.e. the first one to go above threshold will trigger persist
* Fix check style and remove a comment
* Add overlord unsecured paths to coordinator when using combined service (#5579)
* Add overlord unsecured paths to coordinator when using combined service
* PR comment
* More error reporting and stats for ingestion tasks (#5418)
* Add more indexing task status and error reporting
* PR comments, add support in AppenderatorDriverRealtimeIndexTask
* Use TaskReport instead of metrics/context
* Fix tests
* Use TaskReport uploads
* Refactor fire department metrics retrieval
* Refactor input row serde in hadoop task
* Refactor hadoop task loader names
* Truncate error message in TaskStatus, add errorMsg to task report
* PR comments
* Allow getDomain to return disjointed intervals (#5570)
* Allow getDomain to return disjointed intervals
* Indentation issues
* Adding feature thetaSketchConstant to do some set operation in PostAgg (#5551)
* Adding feature thetaSketchConstant to do some set operation in PostAggregator
* Updated review comments for PR #5551 - Adding thetaSketchConstant
* Fixed CI build issue
* Updated review comments 2 for PR #5551 - Adding thetaSketchConstant
* Fix taskDuration docs for KafkaIndexingService (#5572)
* With incremental handoff the changed line is no longer true.
* Add doc for automatic pendingSegments (#5565)
* Add missing doc for automatic pendingSegments
* address comments
* Fix indexTask to respect forceExtendableShardSpecs (#5509)
* Fix indexTask to respect forceExtendableShardSpecs
* add comments
* Deprecate spark2 profile in pom.xml (#5581)
Deprecated due to https://github.com/druid-io/druid/pull/5382
* CompressionUtils: Add support for decompressing xz, bz2, zip. (#5586)
Also switch various firehoses to the new method.
Fixes#5585.
* This commit introduces a new tuning config called 'maxBytesInMemory' for ingestion tasks
Currently a config called 'maxRowsInMemory' is present which affects how much memory gets
used for indexing.If this value is not optimal for your JVM heap size, it could lead
to OutOfMemoryError sometimes. A lower value will lead to frequent persists which might
be bad for query performance and a higher value will limit number of persists but require
more jvm heap space and could lead to OOM.
'maxBytesInMemory' is an attempt to solve this problem. It limits the total number of bytes
kept in memory before persisting.
* The default value is 1/3(Runtime.maxMemory())
* To maintain the current behaviour set 'maxBytesInMemory' to -1
* If both 'maxRowsInMemory' and 'maxBytesInMemory' are present, both of them
will be respected i.e. the first one to go above threshold will trigger persist
* Address code review comments
* Fix the coding style according to druid conventions
* Add more javadocs
* Rename some variables/methods
* Other minor issues
* Address more code review comments
* Some refactoring to put defaults in IndexTaskUtils
* Added check for maxBytesInMemory in AppenderatorImpl
* Decrement bytes in abandonSegment
* Test unit test for multiple sinks in single appenderator
* Fix some merge conflicts after rebase
* Fix some style checks
* Merge conflicts
* Fix failing tests
Add back check for 0 maxBytesInMemory in OnHeapIncrementalIndex
* Address PR comments
* Put defaults for maxRows and maxBytes in TuningConfig
* Change/add javadocs
* Refactoring and renaming some variables/methods
* Fix TeamCity inspection warnings
* Added maxBytesInMemory config to HadoopTuningConfig
* Updated the docs and examples
* Added maxBytesInMemory config in docs
* Removed references to maxRowsInMemory under tuningConfig in examples
* Set maxBytesInMemory to 0 until used
Set the maxBytesInMemory to 0 if user does not set it as part of tuningConfing
and set to part of max jvm memory when ingestion task starts
* Update toString in KafkaSupervisorTuningConfig
* Use correct maxBytesInMemory value in AppenderatorImpl
* Update DEFAULT_MAX_BYTES_IN_MEMORY to 1/6 max jvm memory
Experimenting with various defaults, 1/3 jvm memory causes OOM
* Update docs to correct maxBytesInMemory default value
* Minor to rename and add comment
* Add more details in docs
* Address new PR comments
* Address PR comments
* Fix spelling typo
* Add compaction task
* added doc
* use combining aggregators
* address comments
* add support for dimensionsSpec
* fix getUniqueDims and getUniqueMetics
* find unique dimensionsSpec
* fix compilation
* add unit test
* fix test
* fix test
* test for different dimension orderings and types, and doc for type and ordering
* add control for custom ordering and type
* update doc
* fix compile
* fix compile
* add segments param
* fix serde error
* fix build
* Early publishing segments in the middle of data ingestion
* Remove unnecessary logs
* Address comments
* Refactoring the patch according to #4292 and address comments
* Set the total shard number of NumberedShardSpec to 0
* refactoring
* Address comments
* Fix tests
* Address comments
* Fix sync problem of committer and retry push only
* Fix doc
* Fix build failure
* Address comments
* Fix compilation failure
* Fix transient test failure
* Remove ability to create segments in v8 format
* Fix IndexGeneratorJobTest
* Fix parameterized test name in IndexMergerTest
* Remove extra legacy merging stuff
* Remove legacy serializer builders
* Remove ConciseBitmapIndexMergerTest and RoaringBitmapIndexMergerTest
* Refactoring Appenderator
1) Added publishExecutor and handoffExecutor for background publishing and handing segments off
2) Change add() to not move segments out in it
* Address comments
1) Remove publishTimeout for KafkaIndexTask
2) Simplifying registerHandoff()
3) Add increamental handoff test
* Remove unused variable
* Add persist() to Appenderator and more tests for AppenderatorDriver
* Remove unused imports
* Fix strict build
* Address comments
* Add SameIntervalMergeTask for easier usage of MergeTask
* fix a bug and add ut
* remove same_interval_merge_sub from Task.java and remove other no needed code
* ability to not rollup at index time, make pre aggregation an option
* rename getRowIndexForRollup to getPriorIndex
* fix doc misspelling
* test query using no-rollup indexes
* fix benchmark fail due to jmh bug
To bring consistency to docs and source this commit changes the default
values for maxRowsInMemory and rowFlushBoundary to 75000 after
discussion in PR https://github.com/druid-io/druid/pull/2457.
The previous default was 500000 and it's lower now on the grounds that
it's better for a default to be somewhat less efficient, and work,
than to reach for the stars and possibly result in
"OutOfMemoryError: java heap space" errors.
Jonathan Wei
Jihoon Son
David Lim
Vadim Ogievetsky
Gian Merlino
Ryan Plessner
Surekha
Roman Leventov
kaijianding
David Lim
Dave Li
Björn Zettergren
fjy