* Prevent KafkaSupervisor NPE in checkPendingCompletionTasks (#5900)
* throw IAE in generateSequenceName if groupId not found in taskGroups
* add null check in checkPendingCompletionTasks
* Add warn log in checkPendingCompletionTasks
* Address PR comments
Replace warn with error log
* Address PR comments
* change signature of generateSequenceName to take a TaskGroup object instead of int
* Address comments
* Remove unnecessary method from KafkaSupervisorTest
* Fix Kafka Indexing task pause forever (#5656)
* Fix Nullpointer Exception in overlord if taskGroups does not contain the groupId
* If the endOffset is same as startOffset, still let the task resume instead of returning
endOffsets early which causes the tasks to pause forever and ultimately fail on timeout
* Address PR comment
*Remove the null check and do not return null from generateSequenceName
* Add the new tasks api in overlordResource
It takes 4 optional query params
* state(pending/running/waiting/compelte)
* dataSource
* interval (applies to completed tasks)
* maxCompletedTasks (applies to completed tasks)
If all params are null, the api returns all the tasks
* Add the state to each task returned by tasks endpoint
* divide active tasks into waiting, pending or running
* Add more unit tests
* Add UNKNOWN state to TaskState
* Fix the authorization calls
* WIP: PR comments
Added new class to capture task info for caching
Other refactoring
* Refactoring : move TaskStatus class to druid-api
so it can be accessed within server
And other related classes like TaskState and TaskStatusPlus are in api
* Remove unused class and apis accessing it
* Add a separate cache for recently completed tasks
This is to mainly capture the task type from payload
* Ignore a test
* Add a RuntimeTaskState to encompass all states a task can be in
* Revert "Add a RuntimeTaskState to encompass all states a task can be in"
This reverts commit 2a527a0731.
* Fix wrong api call
* Fix and unignore tests
* Remove waiting,pending state from TaskState
* Add RunnerTaskState
* Missed the annotation runnerStatusCode
* Fix the creationTime
* Fix the createdTime and queueInsertionTime for running/active tasks
* Clean up tests
* Add javadocs
* Potentially fix the teamcity build
* Address PR comments
*Get rid of TaskInfoBuilder
*Make TaskInfoMapper static nested class
*Other changes
* fix import in MaterializedViewSupervisor after merge
* Address PR comments on
* Replace global cache with local map
* combine multiple queries into one
* Removed unused code
* Fix unit tests
Fix a bug in securedTaskStatusPlus
* Remove getRecentlyFinishedTaskStatuses method
Change TaskInfoMapper signature to add generic type
* Address PR comments
* Passed datasource as argument to be used in sql query
* Other minor fixes
* Address PR comments
*Some minor changes, rename method, spacing changes
* Add early auth check if datasource is not null
* Fix test case
* Add max limit to getRecentlyFinishedTaskInfo in HeapMemoryTaskStorage
* Add TaskLocation to Anytask object
* Address PR comments
* Fix a bug in test case causing ClassCastException
* 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 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
* Add support for task reports, upload reports to deep storage
* PR comments
* Better name for method
* Fix report file upload
* Use TaskReportFileWriter
* Checkstyle
* More PR comments
and added datasource information as part of existing endpoint /druid/indexer/v1/runningTasks.
Added junit test cases for the newly implemented API and fixed existing junit test cases.
Fixed review comments - added new method getCreatedDateTimeAndDataSource into TaskStorageQueryAdapter class
and formatted changed files
* Fix early publishing to early pushing in batch indexing & refactor appenderatorDriver
* fix compile
* rename and add more javadocs
* Fix conflicts
* address comments
* revert await executors
* fix test
The behavior is configurable through druid.extensions.useExtensionClassloaderFirst.
It is useful when extensions want to load a dependency different from one provided
by Druid, for example a different version of geoip or protobuf.
* Deduplicate DataSegments contents (loadSpec's keys, dimensions and metrics lists as a whole) more aggressively; use ArrayMap instead of default LinkedHashMap for DataSegment.loadSpec, because they have only 3 entries on average; prune DataSegment.loadSpec on brokers
* Fix DataSegmentTest
* Refinements
* Try to fix
* Fix the second DataSegmentTest
* Nullability
* Fix tests
* Fix tests, unify to use TestHelper.getJsonMapper()
* Revert TestUtil as ServerTestHelper, fix tests
* Add newline
* Fix indexing tests
* Fix s3 tests
* Try to fix tests, remove lazy caching of ObjectMapper in TestHelper, rename TestHelper.getJsonMapper() to makeJsonMapper()
* Fix HDFS tests
* Fix HdfsDataSegmentPusherTest
* Capitalize constant names
* Kafka Index Task that supports Incremental handoffs
- Incrementally handoff segments when they hit maxRowsPerSegment limit
- Decouple segment partitioning from Kafka partitioning, all records from consumed partitions go to a single druid segment
- Support for restoring task on middle manager restarts by check pointing end offsets for segments
* take care of review comments
* make getCurrentOffsets call async, keep track of publishing sequence, review comments
* fix setEndoffset duplicate request handling, formatting
* fix unit test
* backward compatibility
* make AppenderatorDriverMetadata backwards compatible
* add unit test
* fix deadlock between persist and push executors in AppenderatorImpl
* fix formatting
* use persist dir instead of work dir
* review comments
* fix deadlock
* actually fix deadlock
AppenderatorImpl already applies maxRowsInMemory across all sinks. So dividing by
the number of Kafka partitions is pointless and effectively makes the interpretation
of maxRowsInMemory lower than expected.
This undoes one of the two changes from #3284, which fixed the original bug twice.
In this, that's worse than fixing it once.
* Fix havingSpec on complex aggregators.
- Uses the technique from #4883 on DimFilterHavingSpec too.
- Also uses Transformers from #4890, necessitating a move of that and other
related classes from druid-server to druid-processing. They probably make
more sense there anyway.
- Adds a SQL query test.
Fixes#4957.
* Remove unused import.
* Introduce "transformSpec" at ingest-time.
It accepts a "filter" (standard query filter object) and "transforms" (a
list of objects with "name" and "expression"). These can be used to do
filtering and single-row transforms without need for a separate data
processing job.
The "expression" fields use the same expression language as other
expression-based feature.
* Remove forbidden api.
* Fix compile error.
* Fix tests.
* Some more changes.
- Add nullable annotation to Firehose.nextRow.
- Add tests for index task, realtime task, kafka task, hadoop mapper,
and ingestSegment firehose.
* Fix bad merge.
* Adjust imports.
* Adjust whitespace.
* Make Transform into an interface.
* Add missing annotation.
* Switch logger.
* Switch logger.
* Adjust test.
* Adjustment to handling for DatasourceIngestionSpec.
* Fix test.
* CR comments.
* Remove unused method.
* Add javadocs.
* More javadocs, and always decorate.
* Fix bug in TransformingStringInputRowParser.
* Fix bad merge.
* Fix ISFF tests.
* Fix DORC test.
* 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.
Surekha
Jihoon Son
Jonathan Wei
Kirill Kozlov
David Lim
Roman Leventov
Niraja Mishra
Clint Wylie
Parag Jain
Gian Merlino
elloooooo