* 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
* Support for disabling bitmap indexes.
Can save space for columns where bitmap indexes are pointless (like
free-form text).
* Remove import.
* Fix CompactionTaskTest.
* Update for review comments.
* Review comments, tests.
* Fix test.
* 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
I've had problems ingesting several S3 files with Druid. After checking I saw this: https://groups.google.com/forum/#!msg/druid-user/4L62vjor4NM/p8Z_R3lEAQAJ and realised that the docs hasn't been updated. This issue might have been solved with new Druid versions, but for those who are still using older ones (0.9.2), it's nice having this change made :)
* Add flattenSpec support to the Avro parser.
Also:
- Refactor the JSONPathParser a bit so it can share flattening code
with Avro (see ObjectFlatteners).
- Remove the JSONParser. It was only used in two places: by
UriNamespaceExtractor, and as a base for JSONToLowerParser. Migrated
the former to JSONPathParser and made the latter a standalone.
- Move GenericRecordAsMap to the Parquet extension, since the Avro
extension no longer uses it.
* Fix indentation.
* Fix equals/hashCode.
* add jq expression in the flattenSpec
* more tests
* add benchmark
* fix style
* use JsonNode for both JSONPath and JQ
* clean up
* more clean up
* add documentation
* fix style
* move jackson-jq version to dependencyManagement section. remove commented code
* oops. revert wrong fix
* throw IllegalArgumentException for JQ syntax error
* remove e.printStackTrace() that is forbidden
* touch
* 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
* move ProtoBufInputRowParser from processing module to protobuf extensions
* Ported PR #3509
* add DynamicMessage
* fix local test stuff that slipped in
* add license header
* removed redundant type name
* removed commented code
* fix code style
* rename ProtoBuf -> Protobuf
* pom.xml: shade protobuf classes, handle .desc resource file as binary file
* clean up error messages
* pick first message type from descriptor if not specified
* fix protoMessageType null check. add test case
* move protobuf-extension from contrib to core
* document: add new configuration keys, and descriptions
* update document. add examples
* move protobuf-extension from contrib to core (2nd try)
* touch
* include protobuf extensions in the distribution
* fix whitespace
* include protobuf example in the distribution
* example: create new pb obj everytime
* document: use properly quoted json
* fix whitespace
* bump parent version to 0.10.1-SNAPSHOT
* ignore Override check
* touch
* RealtimeIndexTask to support alertTimeout in context and raise alert if task process exists after the timeout
* move alertTimeout config to tuningConfig and document
It wasn't doing anything useful (the sequences were being concatted, and
cursor.getTime() wasn't being called) and it defaulted to Granularities.NONE.
Changing it to Granularities.ALL gave me a 700x+ performance boost on a
small dataset I was reindexing (2m27s to 365ms). Most of that was from avoiding
making a lot of unnecessary column selectors.
* 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
* Refactor Segment Granularity
* Beginning of one granularity
* Copy the fix for custom periods in segment-grunalrity over here.
* Remove the custom serialization for now.
* Compilation cleanup
* Reformat code
* Fixing unit tests
* Unify to use a single iterable
* Backward compatibility for rolling upgrade
* Minor check style. Cosmetic changes.
* Rename length and millis to duration
* CR feedback
* Minor changes.
* Use Long timestamp as key instead of DateTime.
DateTime representation is screwed up when you store with an obj
and read with a different DateTime obj.
For example: The code below fails when you use DateTime as key
```
DateTime odt = DateTime.now(DateTimeUtils.getZone(DateTimeZone.forID("America/Los_Angeles")));
HashMap<DateTime, String> map = new HashMap<>();
map.put(odt, "abc");
DateTime dt = new DateTime(odt.getMillis());
System.out.println(map.get(dt));
```
* Respect timezone when creating the file.
* Update docs with timezone caveat in granularity spec
* Remove unused imports
* Add support for timezone in segment granularity
* CR feedback. Handle null timezone during equals check.
* Include timezone in docs.
Add timezone for ArbitraryGranularitySpec.
Jonathan Wei
Jihoon Son
Caroline1000
Gian Merlino
Ryan Plessner
Joseph Glanville
Atul Mohan
kaijianding
Surekha
Himanshu
Roman Leventov
Slim
Darío
Kenji Noguchi
praveev
David Lim
Akash Dwivedi