* Fix NPE while handling CheckpointNotice
* fix code style
* Fix test
* fix test
* add a log for creating a new taskGroup
* fix backward compatibility in KafkaIOConfig
False failures on Travis due to spurious timeout (in turn due to noisy
neighbors) is a bigger problem than legitimate failures taking too long
to time out. So it makes sense to extend timeouts.
* 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.
* internal-discovery: interfaces for announcement/discovery, curator impls
* more tests
* address some review comments
* more fixes
* address more review comments
* simplify ObjectMapper setup in CuratorDruidNodeAnnouncerAndDiscoveryTest
* fix KafkaIndexTaskTest
* make lookupTier overridable via RealtimeIndexTask and KafkaIndexTask context
* make teamcity build happy
* Implement "earlyMessageRejectionPeriod" config discussed in issue #4599
* implement the logics of this param
* Added doc of this config
* Added unit tests of it
* Update KafkaSupervisor.java
ameliorate comment
* fix format
* fix bug when rebasing
* Remove some unnecessary use of boxed types.
* Fix some incorrect format strings.
* Enable IDEA's MalformedFormatString inspection.
* Add a Checkstyle check for finding uses of incorrect logging packages.
* Fix some incorrect usages of the metamx logger.
* Bypass incorrect logger Checkstyle check where using the correct logger is not simple.
* Fix some more places where the wrong number of arguments are provided to format strings.
* Suppress `MalformedFormatString` inspection on legacy logging test.
* Use @SuppressWarnings rather than a noinspection suppression comment.
* Fix some more incorrect format strings.
* Suppress some more incorrect format string warnings where the incorrect string is intentional.
* Log the aggregator when closing it fails.
* Remove some unneeded log lines.
* 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
* Avoid usages of Default system Locale and printing to System.out or System.err in production code
* Fix Charset in DruidKerberosUtil
* Remove redundant string format in GenericIndexed
* Rename StringUtils.safeFormat() to unimportantSafeFormat(); add StringUtils.format() which fails as well as String.format()
* Fix testSafeFormat()
* More fixes of redundant StringUtils.format() inside ISE
* Rename unimportantSafeFormat() to nonStrictFormat()
* 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
* Expressions: Add ExprMacros, which have the same syntax as functions, but
can convert themselves to any kind of Expr at parse-time.
ExprMacroTable is an extension point for adding new ExprMacros. Anything
that might need to parse expressions needs an ExprMacroTable, which can
be injected through Guice.
* Address code review comments.
* Make using implicit system charset an error
* Use StringUtils.toUtf8() and fromUtf8() instead of String.getBytes() and new String()
* Use English locale in StringUtils.safeFormat()
* Restore comment
* refactor lag reporting and report lag at status endpoint
* refactor offset reporting logic to fetch offsets periodically vs. at request time
* remove JavaCompatUtils
* code review changes
* code review changes
* 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
* Optional long-polling based segment announcement via HTTP instead of Zookeeper
* address review comments
* make endpoint /druid-internal/v1 instead of /druid/internal so that jetty qos filters can be configured easily when needed
* update segment callback initialization to be called only after first segment list fetch has been succeeded from all servers
* address review comments
* remove size check not required anymore as only segment servers announce themselves and not all peon processes
* annouce segment server on historical only after cached segments are loaded
* fix checkstyle errors
* Make Errorprone the default compiler
* Address comments
* Make Error Prone's ClassCanBeStatic rule a error
* Preconditions allow only %s pattern
* Fix DruidCoordinatorBalancerTester
* Try to give the compiler more memory
* Remove distribution module activation on jdk 1.8 because only jdk 1.8 is used now
* Don't show compiler warnings
* Try different travis script
* Fix travis.yml
* Make Error Prone optional again
* For error-prone compiler
* Increase compiler's maxmem
* Don't run Error Prone for benchmarks because of OOM
* Skip install step in Travis
* Remove MetricHolder.writeToChannel()
* In travis.yml, check compilation before tests, because it may fail faster
* Add QueryPlus. Add QueryRunner.run(QueryPlus, Map) method with default implementation, to replace QueryRunner.run(Query, Map).
* Fix GroupByMergingQueryRunnerV2
* Fix QueryResourceTest
* Expand the comment to Query.run(walker, context)
* Remove legacy version of BySegmentSkippingQueryRunner.doRun()
* Add LegacyApiQueryRunnerTest and be more specific about legacy API removal plans in Druid 0.11 in Javadocs
* Fix lz4 library incompatibility in kafka-indexing-service extension #3266
* Bumped Kafka version to 0.10.2.0 for : Fix lz4 library incompatibility in kafka-indexing-service extension #3266
* Replaced Lists.newArrayList() with Collections.singletonList() For Fix lz4 library incompatibility in kafka-indexing-service extension #4115
task.pause(0) can return early before the task is actually paused.
Exception for failure -
java.lang.AssertionError: expected:<PAUSED> but was:<READING>
at org.junit.Assert.fail(Assert.java:88)
at org.junit.Assert.failNotEquals(Assert.java:743)
at org.junit.Assert.assertEquals(Assert.java:118)
at org.junit.Assert.assertEquals(Assert.java:144)
at
io.druid.indexing.kafka.KafkaIndexTaskTest.testRunWithOffsetOutOfRangeEx
ceptionAndPause(KafkaIndexTaskTest.java:1229)
To reproduce add Thread.sleep(10000) in beginning of
KafkaIndexTask.possiblypause method.
* No more singleton. Reduce iterations
* Granularities
* Fix the delay in the test
* Add license header
* Remove unused imports
* Lot more unused imports from all the rearranging
* CR feedback
* Move javadoc to constructor
* 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.
* auto reset option for Kafka Indexing service in case message at the offset being fetched is not present anymore at kafka brokers
* review comments
* review comments
* reverted last change
* review comments
* review comments
* fix typo
* Fix#3795 (Java 7 compatibility).
Also introduce Animal Sniffer checks during build, which would
have caught the original problems.
* Add Animal Sniffer on caffeine-cache for JDK8.
* option to reset offset automatically in case of OffsetOutOfRangeException
if the next offset is less than the earliest available offset for that partition
* review comments
* refactoring
* refactor
* review comments
* validate X-Druid-Task-Id header in request and add header to response
* modify KafkaIndexTaskClient to take a TaskLocationProvider as the TaskLocation may not remain constant
segment creation deterministic.
This means that each segment will contain data from just one Kafka
partition. So, users will probably not want to have a super high number
of Kafka partitions...
Fixes#2703.
Reads a specific offset range from specific partitions, and can use dataSource metadata
transactions to guarantee exactly-once ingestion.
Each task has a finite lifecycle, so it is expected that some process will be supervising
existing tasks and creating new ones when needed.