* JavaScript script engine support was removed in JDK 15: skip those tests for JDKs without it
* Fix flaky HTTP client tests with Java 15
* Switch from CMS to G1GC in integration tests, since CMS is no longer available in JDK 15
* DruidInputSource: Fix issues in column projection, timestamp handling.
DruidInputSource, DruidSegmentReader changes:
1) Remove "dimensions" and "metrics". They are not necessary, because we
can compute which columns we need to read based on what is going to
be used by the timestamp, transform, dimensions, and metrics.
2) Start using ColumnsFilter (see below) to decide which columns we need
to read.
3) Actually respect the "timestampSpec". Previously, it was ignored, and
the timestamp of the returned InputRows was set to the `__time` column
of the input datasource.
(1) and (2) together fix a bug in which the DruidInputSource would not
properly read columns that are used as inputs to a transformSpec.
(3) fixes a bug where the timestampSpec would be ignored if you attempted
to set the column to something other than `__time`.
(1) and (3) are breaking changes.
Web console changes:
1) Remove "Dimensions" and "Metrics" from the Druid input source.
2) Set timestampSpec to `{"column": "__time", "format": "millis"}` for
compatibility with the new behavior.
Other changes:
1) Add ColumnsFilter, a new class that allows input readers to determine
which columns they need to read. Currently, it's only used by the
DruidInputSource, but it could be used by other columnar input sources
in the future.
2) Add a ColumnsFilter to InputRowSchema.
3) Remove the metric names from InputRowSchema (they were unused).
4) Add InputRowSchemas.fromDataSchema method that computes the proper
ColumnsFilter for given timestamp, dimensions, transform, and metrics.
5) Add "getRequiredColumns" method to TransformSpec to support the above.
* Various fixups.
* Uncomment incorrectly commented lines.
* Move TransformSpecTest to the proper module.
* Add druid.indexer.task.ignoreTimestampSpecForDruidInputSource setting.
* Fix.
* Fix build.
* Checkstyle.
* Misc fixes.
* Fix test.
* Move config.
* Fix imports.
* Fixup.
* Fix ShuffleResourceTest.
* Add import.
* Smarter exclusions.
* Fixes based on tests.
Also, add TIME_COLUMN constant in the web console.
* Adjustments for tests.
* Reorder test data.
* Update docs.
* Update docs to say Druid 0.22.0 instead of 0.21.0.
* Fix test.
* Fix ITAutoCompactionTest.
* Changes from review & from merging.
* druid task auto scale based on kafka lag
* fix kafkaSupervisorIOConfig and KinesisSupervisorIOConfig
* druid task auto scale based on kafka lag
* fix kafkaSupervisorIOConfig and KinesisSupervisorIOConfig
* test dynamic auto scale done
* auto scale tasks tested on prd cluster
* auto scale tasks tested on prd cluster
* modify code style to solve 29055.10 29055.9 29055.17 29055.18 29055.19 29055.20
* rename test fiel function
* change codes and add docs based on capistrant reviewed
* midify test docs
* modify docs
* modify docs
* modify docs
* merge from master
* Extract the autoScale logic out of SeekableStreamSupervisor to minimize putting more stuff inside there && Make autoscaling algorithm configurable and scalable.
* fix ci failed
* revert msic.xml
* add uts to test autoscaler create && scale out/in and kafka ingest with scale enable
* add more uts
* fix inner class check
* add IT for kafka ingestion with autoscaler
* add new IT in groups=kafka-index named testKafkaIndexDataWithWithAutoscaler
* review change
* code review
* remove unused imports
* fix NLP
* fix docs and UTs
* revert misc.xml
* use jackson to build autoScaleConfig with default values
* add uts
* use jackson to init AutoScalerConfig in IOConfig instead of Map<>
* autoscalerConfig interface and provide a defaultAutoScalerConfig
* modify uts
* modify docs
* fix checkstyle
* revert misc.xml
* modify uts
* reviewed code change
* reviewed code change
* code reviewed
* code review
* log changed
* do StringUtils.encodeForFormat when create allocationExec
* code review && limit taskCountMax to partitionNumbers
* modify docs
* code review
Co-authored-by: yuezhang <yuezhang@freewheel.tv>
* add query granularity to compaction task
* fix checkstyle
* fix checkstyle
* fix test
* fix test
* add tests
* fix test
* fix test
* cleanup
* rename class
* fix test
* fix test
* add test
* fix test
* Keep query granularity of compacted segments after compaction
* Protect against null isRollup
* Fix bugspot check RC_REF_COMPARISON_BAD_PRACTICE_BOOLEAN & edit an existing comment
* Make sure that NONE is also included when comparing for the finer granularity
* Update integration test check for segment size due to query granularity propagation affecting size
* Minor code cleanup
* Added functional test to verify queryGranlarity after compaction
* Minor style fix
* Update unit tests
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* resolve conflict
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* fix tests
* fix more tests
* fix checkstyle
* add unit tests
* fix checkstyle
* fix checkstyle
* fix checkstyle
* add unit tests
* add integration tests
* fix checkstyle
* fix checkstyle
* fix failing tests
* address comments
* address comments
* fix tests
* fix tests
* fix test
* fix test
* fix test
* fix test
* fix test
* fix test
* fix test
* fix test
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* fix checkstyle
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* fix test
* fix test
* add log
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* address comments
* fix checkstyle
* fix checkstyle
* add config to skip overhead memory calculation
* add test for the skipBytesInMemoryOverheadCheck config
* add docs
* fix checkstyle
* fix checkstyle
* fix spelling
* address comments
* fix travis
* address comments
* ready to test
* tested on dev cluster
* tested
* code review
* add UTs
* add UTs
* ut passed
* ut passed
* opti imports
* done
* done
* fix checkstyle
* modify uts
* modify logs
* changing the package of SegmentLazyLoadFailCallback.java to org.apache.druid.segment
* merge from master
* modify import orders
* merge from master
* merge from master
* modify logs
* modify docs
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
Co-authored-by: yuezhang <yuezhang@freewheel.tv>
Today Kafka message support in streaming indexing tasks is limited to
message values, and does not provide a way to expose Kafka headers,
timestamps, or keys, which may be of interest to more specialized
Druid input formats. For instance, Kafka headers may be used to indicate
payload format/encoding or additional metadata, and timestamps are often
omitted from values in Kafka streams applications, since they are
included in the record.
This change proposes to introduce KafkaRecordEntity as InputEntity,
which would give input formats full access to the underlying Kafka record,
including headers, key, timestamps. It would also open access to low-level
information such as topic, partition, offset if needed.
KafkaEntity is a subclass of ByteEntity for backwards compatibility with
existing input formats, and to avoid introducing unnecessary complexity
for Kinesis indexing tasks.
* Remove redundant IncrementalIndex.Builder
* Parametrize incremental index tests and benchmarks
- Reveal and fix a bug in OffheapIncrementalIndex
* Fix forbiddenapis error: Forbidden method invocation: java.lang.String#format(java.lang.String,java.lang.Object[]) [Uses default locale]
* Fix Intellij errors: declared exception is never thrown
* Add documentation and validate before closing objects on tearDown.
* Add documentation to OffheapIncrementalIndexTestSpec
* Doc corrections and minor changes.
* Add logging for generated rows.
* Refactor new tests/benchmarks.
* Improve IncrementalIndexCreator documentation
* Add required tests for DataGenerator
* Revert "rollupOpportunity" to be a string
* Multiphase merge for IndexMergerV9
* JSON fix
* Cleanup temp files
* Docs
* Address logging and add IT
* Fix spelling and test unloader datasource name
* integration test for coordinator and overlord leadership, added sys.servers is_leader column
* docs
* remove not needed
* fix comments
* fix compile heh
* oof
* revert unintended
* fix tests, split out docker-compose file selection from starting cluster, use docker-compose down to stop cluster
* fixes
* style
* dang
* heh
* scripts are hard
* fix spelling
* fix thing that must not matter since was already wrong ip, log when test fails
* needs more heap
* fix merge
* less aggro
* support multi-line text
* add test cases
* split json text into lines case by case
* improve exception handle
* fix CI
* use IntermediateRowParsingReader as base of JsonReader
* update doc
* ignore the non-immutable field in test case
* add more test cases
* mark `lineSplittable` as final
* fix testcases
* fix doc
* add a test case for SqlReader
* return all raw columns when exception occurs
* fix CI
* fix test cases
* resolve review comments
* handle ParseException returned by index.add
* apply Iterables.getOnlyElement
* fix CI
* fix test cases
* improve code in more graceful way
* fix test cases
* fix test cases
* add a test case to check multiple json string in one text block
* fix inspection check
* Introduce a Configurable Index Type
* Change to @UnstableApi
* Add AppendableIndexSpecTest
* Update doc
* Add spelling exception
* Add tests coverage
* Revert some of the changes to reduce diff
* Minor fixes
* Update getMaxBytesInMemoryOrDefault() comment
* Fix typo, remove redundant interface
* Remove off-heap spec (postponed to a later PR)
* Add javadocs to AppendableIndexSpec
* Describe testCreateTask()
* Add tests for AppendableIndexSpec within TuningConfig
* Modify hashCode() to conform with equals()
* Add comment where building incremental-index
* Add "EqualsVerifier" tests
* Revert some of the API back to AppenderatorConfig
* Don't use multi-line comments
* Remove knob documentation (deferred)
* Add shuffle metrics for parallel indexing
* javadoc and concurrency test
* concurrency
* fix javadoc
* Feature flag
* doc
* fix doc and add a test
* checkstyle
* add tests
* fix build and address comments
* Adding more worker metrics to Druid Overlord
* Changing the nomenclature from worker to peon as that represents the metrics that we want to monitor better
* Few more instance of worker usage replaced with peon
* Modifying the peon idle count logic to only use eligible workers available capacity
* Changing the naming to task slot count instead of peon
* Adding some unit test coverage for the new test runner apis
* Addressing Review Comments
* Modifying the TaskSlotCountStatsProvider apis so that overlords which are not leader do not emit these metrics
* Fixing the spelling issue in the docs
* Setting the annotation Nullable on the TaskSlotCountStatsProvider methods
* Store hash partition function in dataSegment and allow segment pruning only when hash partition function is provided
* query context
* fix tests; add more test
* javadoc
* docs and more tests
* remove default and hadoop tests
* consistent name and fix javadoc
* spelling and field name
* default function for partitionsSpec
* other comments
* address comments
* fix tests and spelling
* test
* doc
* Move tools for indexing to TaskToolbox instead of injecting them in constructor
* oops, other changes
* fix test
* unnecessary new file
* fix test
* fix build
* Fix handling of 'join' on top of 'union' datasources.
The problem is that unions are typically rewritten into a series of
individual queries on the underlying tables, but this isn't done when
the union is wrapped in a join.
The main changes are in UnionQueryRunner:
1) Replace an instanceof UnionQueryRunner check with DataSourceAnalysis.
2) Replace a "query.withDataSource" call with a new function, "Queries.withBaseDataSource".
Together, these enable UnionQueryRunner to "see through" a join.
* Tests.
* Adjust heap sizes for integration tests.
* Different approach, more tests.
* Tweak.
* Styling.
* Add support for all partitioing schemes for auto compaction
* annotate last compaction state for multi phase parallel indexing
* fix build and tests
* test
* better home
* better type tracking: add typed postaggs, finalized types for agg factories
* more javadoc
* adjustments
* transition to getTypeName to be used exclusively for complex types
* remove unused fn
* adjust
* more better
* rename getTypeName to getComplexTypeName
* setup expression post agg for type inference existing
* more javadocs
* fixup
* oops
* more test
* more test
* more comments/javadoc
* nulls
* explicitly handle only numeric and complex aggregators for incremental index
* checkstyle
* more tests
* adjust
* more tests to showcase difference in behavior
* timeseries longsum array
* Add "offset" parameter to the Scan query.
It works by doing the query as normal and then throwing away the first
"offset" number of rows on the broker.
* Fix constructor call.
* Fix up JSONs.
* Fix call to ScanQuery.
* Doc update.
* Fix javadocs.
* Spotbugs, LGTM suppressions.
* Javadocs.
* Fix suppression.
* Stabilize Scan query result order, add tests.
* Update LGTM comment.
* Fixup.
* Test different batch sizes too.
* Nicer tests.
* Fix comment.
* QueryCountStatsMonitor can be injected in the Peon
This change fixes a dependency injection bug where there is a circular
dependency on getting the MonitorScheduler when a user configures the
QueryCountStatsMonitor to be used.
* fix tests
* Actually fix the tests this time
* Fix native batch range partition segment sizing
Fixes#10057.
Native batch range partitioning was only considering the partition
dimension value when grouping rows instead of using all of the row's
partition values. Thus, for schemas with multiple dimensions, the rollup
was overestimated, which would cause too many dimension values to be
packed into the same range partition. The resulting segments would then
be overly large (and not honor the target or max partition sizes).
Main changes:
- PartialDimensionDistributionTask: Consider all dimension values when
grouping row
- RangePartitionMultiPhaseParallelIndexingTest: Regression test by
having input with rows that should roll up and rows that should not
roll up
* Use hadoop & native hash ingestion row group key
* Fill in the core partition set size properly for batch ingestion with
dynamic partitioning
* incomplete javadoc
* Address comments
* fix tests
* fix json serde, add tests
* checkstyle
* Set core partition set size for hash-partitioned segments properly in
batch ingestion
* test for both parallel and single-threaded task
* unused variables
* fix test
* unused imports
* add hash/range buckets
* some test adjustment and missing json serde
* centralized partition id allocation in parallel and simple tasks
* remove string partition chunk
* revive string partition chunk
* fill numCorePartitions for hadoop
* clean up hash stuffs
* resolved todos
* javadocs
* Fix tests
* add more tests
* doc
* unused imports
* Allow append to existing datasources when dynamic partitioing is used
* fix test
* checkstyle
* checkstyle
* fix test
* fix test
* fix other tests..
* checkstyle
* hansle unknown core partitions size in overlord segment allocation
* fail to append when numCorePartitions is unknown
* log
* fix comment; rename to be more intuitive
* double append test
* cleanup complete(); add tests
* fix build
* add tests
* address comments
* checkstyle
* Fill in the core partition set size properly for batch ingestion with
dynamic partitioning
* incomplete javadoc
* Address comments
* fix tests
* fix json serde, add tests
* checkstyle
* Set core partition set size for hash-partitioned segments properly in
batch ingestion
* test for both parallel and single-threaded task
* unused variables
* fix test
* unused imports
* add hash/range buckets
* some test adjustment and missing json serde
* centralized partition id allocation in parallel and simple tasks
* remove string partition chunk
* revive string partition chunk
* fill numCorePartitions for hadoop
* clean up hash stuffs
* resolved todos
* javadocs
* Fix tests
* add more tests
* doc
* unused imports
* move benchmark data generator into druid-processing, add a GeneratorInputSource to fill up a cluster with data
* newlines
* make test coverage not fail maybe
* remove useless test
* Update pom.xml
* Update GeneratorInputSourceTest.java
* less passive aggressive test names
* Empty partitionDimension has less rollup compared to the case when it is explicitly specified
* Adding a unit test for the empty partitionDimension scenario. Fixing another test which was failing
* Fixing CI Build Inspection Issue
* Addressing all review comments
* Updating the javadocs for the hash method in HashBasedNumberedShardSpec
* refactor SeekableStreamSupervisor usage of RecordSupplier to reduce contention between background threads and main thread, refactor KinesisRecordSupplier, refactor Kinesis lag metric collection and emitting
* fix style and test
* cleanup, refactor, javadocs, test
* fixes
* keep collecting current offsets and lag if unhealthy in background reporting thread
* review stuffs
* add comment
* add flag to flattenSpec to keep null columns
* remove changes to inputFormat interface
* add comment
* change comment message
* update web console e2e test
* move keepNullColmns to JSONParseSpec
* fix merge conflicts
* fix tests
* set keepNullColumns to false by default
* fix lgtm
* change Boolean to boolean, add keepNullColumns to hash, add tests for keepKeepNullColumns false + true with no nuulul columns
* Add equals verifier tests
* fix nullhandling exceptions related to test ordering
Tests might get executed in different order depending on the maven
version and the test environment. This may lead to "NullHandling module
not initialized" errors for some tests where we do not initialize
null-handling explicitly.
* use InitializedNullHandlingTest
* add kinesis lag metric
* fixes
* heh
* do it right this time
* more test
* split out supervisor report lags into lagMillis, remove latest offsets from kinesis supervisor report since always null, review stuffs
* Use the iterator instead of higherKey(); use the iterator API instead of stream
* Fix tests; fix a concurrency bug in timeline
* fix test
* add tests for findNonOvershadowedObjectsInInterval
* fix test
* add missing tests; fix a bug in QueueEntry
* equals tests
* fix test
* Fix superbatch merge last partition boundaries
A bug in the computation for the last parallel merge partition could
cause an IndexOutOfBoundsException or precondition failure due to an
empty partition.
* Improve comments and tests
* Create splits of multiple files for parallel indexing
* fix wrong import and npe in test
* use the single file split in tests
* rename
* import order
* Remove specific local input source
* Update docs/ingestion/native-batch.md
Co-Authored-By: sthetland <steve.hetland@imply.io>
* Update docs/ingestion/native-batch.md
Co-Authored-By: sthetland <steve.hetland@imply.io>
* doc and error msg
* fix build
* fix a test and address comments
Co-authored-by: sthetland <steve.hetland@imply.io>
More functional tests to cover handling of input data that has a
partition dimension that contains:
1) Null values: Should be in first partition
2) Multi values: Should cause superbatch task to abort
* Refactoring codes around ingestion:
- Parallel index task and simple task now use the same segment allocator implementation. This is reusable for the future implementation as well.
- Added PartitionAnalysis to store the analysis of the partitioning
- Move some util methods to SegmentLockHelper and rename it to TaskLockHelper
* fix build
* fix SingleDimensionShardSpecFactory
* optimize SingledimensionShardSpecFactory
* fix test
* shard spec builder
* import order
* shardSpecBuilder -> partialShardSpec
* build -> complete
* fix comment; add unit tests for partitionBoundaries
* add more tests and fix javadoc
* fix toString(); add serde tests for HashBasedNumberedPartialShardSpec and SegmentAllocateAction
* fix test
* add equality test for hash and range partial shard specs
* Forbid easily misused HashSet and HashMap constructors
* Add two LinkedHashMap constructors to forbidden-apis and create utility method as replacement for them
* Fix visibility of constant in CollectionUtils.java
* Make an exception for an instance of LinkedHashMap#<init>(int) because proper sizing is used
* revert changes to sql module tests that should be in separate PR
* Finish reverting changes to sql module tests that were flagged in checkstyle during CI
* Add netty dependency resulting from SupressForbidden
* intelliJ inspections cleanup
- remove redundant escapes
- performance warnings
- access static member via instance reference
- static method declared final
- inner class may be static
Most of these changes are aesthetic, however, they will allow inspections to
be enabled as part of CI checks going forward
The valuable changes in this delta are:
- using StringBuilder instead of string addition in a loop
indexing-hadoop/.../Utils.java
processing/.../ByteBufferMinMaxOffsetHeap.java
- Use class variables instead of static variables for parameterized test
processing/src/.../ScanQueryLimitRowIteratorTest.java
* Add intelliJ inspection warnings as errors to druid profile
* one more static inner class
* Reconcile terminology and method naming to 'used/unused segments'; Don't use terms 'enable/disable data source'; Rename MetadataSegmentManager to MetadataSegments; Make REST API methods which mark segments as used/unused to return server error instead of an empty response in case of error
* Fix brace
* Import order
* Rename withKillDataSourceWhitelist to withSpecificDataSourcesToKill
* Fix tests
* Fix tests by adding proper methods without interval parameters to IndexerMetadataStorageCoordinator instead of hacking with Intervals.ETERNITY
* More aligned names of DruidCoordinatorHelpers, rename several CoordinatorDynamicConfig parameters
* Rename ClientCompactTaskQuery to ClientCompactionTaskQuery for consistency with CompactionTask; ClientCompactQueryTuningConfig to ClientCompactionTaskQueryTuningConfig
* More variable and method renames
* Rename MetadataSegments to SegmentsMetadata
* Javadoc update
* Simplify SegmentsMetadata.getUnusedSegmentIntervals(), more javadocs
* Update Javadoc of VersionedIntervalTimeline.iterateAllObjects()
* Reorder imports
* Rename SegmentsMetadata.tryMark... methods to mark... and make them to return boolean and the numbers of segments changed and relay exceptions to callers
* Complete merge
* Add CollectionUtils.newTreeSet(); Refactor DruidCoordinatorRuntimeParams creation in tests
* Remove MetadataSegmentManager
* Rename millisLagSinceCoordinatorBecomesLeaderBeforeCanMarkAsUnusedOvershadowedSegments to leadingTimeMillisBeforeCanMarkAsUnusedOvershadowedSegments
* Fix tests, refactor DruidCluster creation in tests into DruidClusterBuilder
* Fix inspections
* Fix SQLMetadataSegmentManagerEmptyTest and rename it to SqlSegmentsMetadataEmptyTest
* Rename SegmentsAndMetadata to SegmentsAndCommitMetadata to reduce the similarity with SegmentsMetadata; Rename some methods
* Rename DruidCoordinatorHelper to CoordinatorDuty, refactor DruidCoordinator
* Unused import
* Optimize imports
* Rename IndexerSQLMetadataStorageCoordinator.getDataSourceMetadata() to retrieveDataSourceMetadata()
* Unused import
* Update terminology in datasource-view.tsx
* Fix label in datasource-view.spec.tsx.snap
* Fix lint errors in datasource-view.tsx
* Doc improvements
* Another attempt to please TSLint
* Another attempt to please TSLint
* Style fixes
* Fix IndexerSQLMetadataStorageCoordinator.createUsedSegmentsSqlQueryForIntervals() (wrong merge)
* Try to fix docs build issue
* Javadoc and spelling fixes
* Rename SegmentsMetadata to SegmentsMetadataManager, address other comments
* Address more comments
* Add JoinableFactory interface and use it in the query stack.
Also includes InlineJoinableFactory, which enables joining against
inline datasources. This is the first patch where a basic join query
actually works. It includes integration tests.
* Fix test issues.
* Adjustments from code review.
Add more unit tests for range partition native batch parallel indexing.
Also, fix a bug where ParallelIndexPhaseRunner incorrectly thinks that
identical collected DimensionDistributionReports are not equal due to
not overriding equals() in DimensionDistributionReport.
* Optimize CachingLocalSegmentAllocator#getSequenceName
Replace StringUtils#format with string addition to generate the sequence
name for an interval and partition. This is faster because format uses a
Matcher under the covers to replace the string format with the variables.
* fix imports and add test
* Add comment about optimization
* Use renamed function for TaskToolbox
* Move tests after refactor
* Rename tests
* Fail superbatch range partition multi dim values
Change the behavior of parallel indexing range partitioning to fail
ingestion if any row had multiple values for the partition dimension.
After this change, the behavior matches that of hadoop indexing.
(Previously, rows with multiple dimension values would be skipped.)
* Improve err msg, rename method, rename test class
* HRTR: make pending task execution handling to go through all tasks on
not finding worker slots
* make HRTR methods package private that are meant to be used only in HttpRemoteTaskRunnerResource
* mark HttpRemoteTaskRunnerWorkItem.State global variables final
* hrtr: move immutableWorker NULL check outside of try-catch or finally block could have NPE
* add some explanatory comments
* add comment on explaining mechanics around hand off of pending tasks from submission to it getting picked up by a task execution thread
* fix spelling
* Parallel indexing single dim partitions
Implements single dimension range partitioning for native parallel batch
indexing as described in #8769. This initial version requires the
druid-datasketches extension to be loaded.
The algorithm has 5 phases that are orchestrated by the supervisor in
`ParallelIndexSupervisorTask#runRangePartitionMultiPhaseParallel()`.
These phases and the main classes involved are described below:
1) In parallel, determine the distribution of dimension values for each
input source split.
`PartialDimensionDistributionTask` uses `StringSketch` to generate
the approximate distribution of dimension values for each input
source split. If the rows are ungrouped,
`PartialDimensionDistributionTask.UngroupedRowDimensionValueFilter`
uses a Bloom filter to skip rows that would be grouped. The final
distribution is sent back to the supervisor via
`DimensionDistributionReport`.
2) The range partitions are determined.
In `ParallelIndexSupervisorTask#determineAllRangePartitions()`, the
supervisor uses `StringSketchMerger` to merge the individual
`StringSketch`es created in the preceding phase. The merged sketch is
then used to create the range partitions.
3) In parallel, generate partial range-partitioned segments.
`PartialRangeSegmentGenerateTask` uses the range partitions
determined in the preceding phase and
`RangePartitionCachingLocalSegmentAllocator` to generate
`SingleDimensionShardSpec`s. The partition information is sent back
to the supervisor via `GeneratedGenericPartitionsReport`.
4) The partial range segments are grouped.
In `ParallelIndexSupervisorTask#groupGenericPartitionLocationsPerPartition()`,
the supervisor creates the `PartialGenericSegmentMergeIOConfig`s
necessary for the next phase.
5) In parallel, merge partial range-partitioned segments.
`PartialGenericSegmentMergeTask` uses `GenericPartitionLocation` to
retrieve the partial range-partitioned segments generated earlier and
then merges and publishes them.
* Fix dependencies & forbidden apis
* Fixes for integration test
* Address review comments
* Fix docs, strict compile, sketch check, rollup check
* Fix first shard spec, partition serde, single subtask
* Fix first partition check in test
* Misc rewording/refactoring to address code review
* Fix doc link
* Split batch index integration test
* Do not run parallel-batch-index twice
* Adjust last partition
* Split ITParallelIndexTest to reduce runtime
* Rename test class
* Allow null values in range partitions
* Indicate which phase failed
* Improve asserts in tests
* Support orc format for native batch ingestion
* fix pom and remove wrong comment
* fix unnecessary condition check
* use flatMap back to handle exception properly
* move exceptionThrowingIterator to intermediateRowParsingReader
* runtime
* Fix the potential race SplittableInputSource.getNumSplits() and SplittableInputSource.createSplits() in TaskMonitor
* Fix docs and javadoc
* Add unit tests for large or small estimated num splits
* add override
* Add FileUtils.createTempDir() and enforce its usage.
The purpose of this is to improve error messages. Previously, the error
message on a nonexistent or unwritable temp directory would be
"Failed to create directory within 10,000 attempts".
* Further updates.
* Another update.
* Remove commons-io from benchmark.
* Fix tests.
* add TsvInputFormat
* refactor code
* fix grammar
* use enum replace string literal
* code refactor
* code refactor
* mark abstract for base class meant not to be instantiated
* remove constructor for test
* Refactor parallel indexing perfect rollup partitioning
Refactoring to make it easier to later add range partitioning for
perfect rollup parallel indexing. This is accomplished by adding several
new base classes (e.g., PerfectRollupWorkerTask) and new classes for
encapsulating logic that needs to be changed for different partitioning
strategies (e.g., IndexTaskInputRowIteratorBuilder).
The code is functionally equivalent to before except for the following
small behavior changes:
1) PartialSegmentMergeTask: Previously, this task had a priority of
DEFAULT_TASK_PRIORITY. It now has a priority of
DEFAULT_BATCH_INDEX_TASK_PRIORITY (via the new PerfectRollupWorkerTask
base class), since it is a batch index task.
2) ParallelIndexPhaseRunner: A decorator was added to
subTaskSpecIterator to ensure the subtasks are generated with unique
ids. Previously, only tests (i.e., MultiPhaseParallelIndexingTest)
would have this decorator, but this behavior is desired for non-test
code as well.
* Fix forbidden apis and pmd warnings
* Fix analyze dependencies warnings
* Fix IndexTask json and add IT diags
* Fix parallel index supervisor<->worker serde
* Fix TeamCity inspection errors/warnings
* Fix TeamCity inspection errors/warnings again
* Integrate changes with those from #8823
* Address review comments
* Address more review comments
* Fix forbidden apis
* Address more review comments
* Tidy up lifecycle, query, and ingestion logging.
The goal of this patch is to improve the clarity and usefulness of
Druid's logging for cluster operators. For more information, see
https://twitter.com/cowtowncoder/status/1195469299814555648.
Concretely, this patch does the following:
- Changes a lot of INFO logs to DEBUG, and DEBUG to TRACE, with the
goal of reducing redundancy and improving clarity by avoiding
showing rarely-useful log messages. This includes most "starting"
and "stopping" messages, and most messages related to individual
columns.
- Adds new log4j2 templates that show operators how to enabled DEBUG
logging for certain important packages.
- Eliminate stack traces for query errors, unless log level is DEBUG
or more. This is useful because query errors often indicate user
error rather than system error, but dumping stack trace often gave
operators the impression that there was a system failure.
- Adds task id to Appenderator, AppenderatorDriver thread names. In
the default log4j2 configuration, this will put them in log lines
as well. It's very useful if a user is using the Indexer, where
multiple tasks run in the same JVM.
- More consistent terminology when it comes to "sequences" (sets of
segments that are handed-off together by Kafka ingestion) and
"offsets" (cursors in partitions). These terms had been confused in
some log messages due to the fact that Kinesis calls offsets
"sequence numbers".
- Replaces some ugly toString calls with either the JSONification or
something more operator-accessible (like a URL or segment identifier,
instead of JSON object representing the same).
* Adjustments.
* Adjust integration test.
* transformSpec + array expressions
changes:
* added array expression support to transformSpec
* removed ParseSpec.verify since its only use afaict was preventing transform expr that did not replace their input from functioning
* hijacked index task test to test changes
* remove docs about being unsupported
* re-arrange test assert
* unused imports
* imports
* fix tests
* preserve types
* suppress warning, fixes, add test
* formatting
* cleanup
* better list to array type conversion and tests
* fix oops
* IndexerSQLMetadataStorageCoordinator.getTimelineForIntervalsWithHandle() don't fetch abutting intervals; simplify getUsedSegmentsForIntervals()
* Add VersionedIntervalTimeline.findNonOvershadowedObjectsInInterval() method; Propagate the decision about whether only visible segmetns or visible and overshadowed segments should be returned from IndexerMetadataStorageCoordinator's methods to the user logic; Rename SegmentListUsedAction to RetrieveUsedSegmentsAction, SegmetnListUnusedAction to RetrieveUnusedSegmentsAction, and UsedSegmentLister to UsedSegmentsRetriever
* Fix tests
* More fixes
* Add javadoc notes about returning Collection instead of Set. Add JacksonUtils.readValue() to reduce boilerplate code
* Fix KinesisIndexTaskTest, factor out common parts from KinesisIndexTaskTest and KafkaIndexTaskTest into SeekableStreamIndexTaskTestBase
* More test fixes
* More test fixes
* Add a comment to VersionedIntervalTimelineTestBase
* Fix tests
* Set DataSegment.size(0) in more tests
* Specify DataSegment.size(0) in more places in tests
* Fix more tests
* Fix DruidSchemaTest
* Set DataSegment's size in more tests and benchmarks
* Fix HdfsDataSegmentPusherTest
* Doc changes addressing comments
* Extended doc for visibility
* Typo
* Typo 2
* Address comment
* Add option lateMessageRejectionStartDate
* Use option lateMessageRejectionStartDate
* Fix tests
* Add lateMessageRejectionStartDate to kafka indexing service
* Update tests kafka indexing service
* Fix tests for KafkaSupervisorTest
* Add lateMessageRejectionStartDate to KinesisSupervisorIOConfig
* Fix var name
* Update documentation
* Add check lateMessageRejectionStartDateTime and lateMessageRejectionPeriod, fails if both were specified.
* Support assign tasks to run on different tiers of MiddleManagers
* address comments
* address comments
* rename tier to category and docs
* doc
* fix doc
* fix spelling errors
* docs
* Stateful auto compaction
* javaodc
* add removed test back
* fix test
* adding indexSpec to compactionState
* fix build
* add lastCompactionState
* address comments
* extract CompactionState
* fix doc
* fix build and test
* Add a task context to store compaction state; add javadoc
* fix it test
* IOConfig for compaction task
* add javadoc, doc, unit test
* fix webconsole test
* add spelling
* address comments
* fix build and test
* address comments
* get active task by datasource when supervisor discover tasks
* fix ut
* fix ut
* fix ut
* remove unnecessary condition check
* fix ut
* remove stream in hot loop
* Adjust defaults for hashed partitioning
If neither the partition size nor the number of shards are specified,
default to partitions of 5,000,000 rows (similar to the behavior of
dynamic partitions). Previously, both could be null and cause incorrect
behavior.
Specifying both a partition size and a number of shards now results in
an error instead of ignoring the partition size in favor of using the
number of shards. This is a behavior change that makes it more apparent
to the user that only one of the two properties will be honored
(previously, a message was just logged when the specified partition size
was ignored).
* Fix test
* Handle -1 as null
* Add -1 as null tests for single dim partitioning
* Simplify logic to handle -1 as null
* Address review comments
* Fallback to parsing classpath for hadoop task in Java 9+
In Java 9 and above we cannot assume that the system classloader is an
instance of URLClassLoader. This change adds a fallback method to parse
the system classpath in that case, and adds a unit test to validate it matches
what JDK8 would do.
Note: This has not been tested in an actual hadoop setup, so this is mostly
to help us pass unit tests.
* Remove granularity test of dubious value
One of our granularity tests relies on system classloader being a URLClassLoaders to
catch a bug related to class initialization and static initializers using a subclass (see
#2979)
This test was added to catch a potential regression, but it assumes we would add back
the same type of static initializers to this specific class, so it seems to be of dubious value
as a unit test and mostly serves to illustrate the bug.
relates to #5589
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* merging with upstream
* review-1
* unknow changes
* unknow changes
* review-2
* merging with master
* review-2 1 changes
* review changes-2 2
* bug fix
* Add group_id to overlord tasks API and sys.tasks table
* adjust test
* modify docs
* Make groupId nullable
* fix integration test
* fix toString
* Remove groupId from TaskInfo
* Modify docs and tests
* modify TaskMonitorTest
* Add TaskResourceCleaner; fix a couple of concurrency bugs in batch tasks
* kill runner when it's ready
* add comment
* kill run thread
* fix test
* Take closeable out of Appenderator
* add javadoc
* fix test
* fix test
* update javadoc
* add javadoc about killed task
* address comment
* Add support for parallel native indexing with shuffle for perfect rollup.
* Add comment about volatiles
* fix test
* fix test
* handling missing exceptions
* more clear javadoc for stopGracefully
* unused import
* update javadoc
* Add missing statement in javadoc
* address comments; fix doc
* add javadoc for isGuaranteedRollup
* Rename confusing variable name and fix typos
* fix typos; move fetch() to a better home; fix the expiration time
* add support https
* Fix race between canHandle() and addSegment() in StorageLocation
* add comment
* Add shuffleSegmentPusher which is a dataSegmentPusher used for writing shuffle data in local storage.
* add comments
* unused import
* add comments
* fix test
* address comments
* remove <p> tag from javadoc
* address comments
* comparingLong
* Address comments
* fix test
* Add a cluster-wide configuration to force timeChunk lock and add a doc for segment locking
* add more test
* javadoc for missingIntervalsInOverwriteMode
* Fix test
* Address comments
* avoid spotbugs
* Use partitionsSpec for all task types
* fix doc
* fix typos and revert to use isPushRequired
* address comments
* move partitionsSpec to core
* remove hadoopPartitionsSpec
* Fix dependency analyze warnings
Update the maven dependency plugin to the latest version and fix all
warnings for unused declared and used undeclared dependencies in the
compile scope. Added new travis job to add the check to CI. Also fixed
some source code files to use the correct packages for their imports.
* Fix licenses and dependencies
* Fix licenses and dependencies again
* Fix integration test dependency
* Address review comments
* Fix unit test dependencies
* Fix integration test dependency
* Fix integration test dependency again
* Fix integration test dependency third time
* Fix integration test dependency fourth time
* Fix compile error
* Fix assert package
* disable all compression in intermediate segment persists while ingestion
* more changes and build fix
* by default retain existing indexingSpec for intermediate persisted segments
* document indexSpecForIntermediatePersists index tuning config
* fix build issues
* update serde tests
The endpoints added in #6272 were missing authorization checks. This patch removes the bulk
methods from SupervisorManager, and instead has SupervisorResource run the full list through
filterAuthorizedSupervisorIds before calling resume/suspend/terminate one by one.
Make static imports forbidden in tests and remove all occurrences to be
consistent with the non-test code.
Also, various changes to files affected by above:
- Reformat to adhere to druid style guide
- Fix various IntelliJ warnings
- Fix various SonarLint warnings (e.g., the expected/actual args to
Assert.assertEquals() were flipped)
* array support for expression language for multi-value string columns
* fix tests?
* fixes
* more tests
* fixes
* cleanup
* more better, more test
* ignore inspection
* license
* license fix
* inspection
* remove dumb import
* more better
* some comments
* add expr rewrite for arrayfn args for more magic, tests
* test stuff
* more tests
* fix test
* fix test
* castfunc can deal with arrays
* needs more empty array
* more tests, make cast to long array more forgiving
* refactor
* simplify ExprMacro Expr implementations with base classes in core
* oops
* more test
* use Shuttle for Parser.flatten, javadoc, cleanup
* fixes and more tests
* unused import
* fixes
* javadocs, cleanup, refactors
* fix imports
* more javadoc
* more javadoc
* more
* more javadocs, nonnullbydefault, minor refactor
* markdown fix
* adjustments
* more doc
* move initial filter out
* docs
* map empty arg lambda, apply function argument validation
* check function args at parse time instead of eval time
* more immutable
* more more immutable
* clarify grammar
* fix docs
* empty array is string test, we need a way to make arrays better maybe in the future, or define empty arrays as other types..
* Add state and error tracking for seekable stream supervisors
* Fixed nits in docs
* Made inner class static and updated spec test with jackson inject
* Review changes
* Remove redundant config param in supervisor
* Style
* Applied some of Jon's recommendations
* Add transience field
* write test
* implement code review changes except for reconsidering logic of markRunFinishedAndEvaluateHealth()
* remove transience reporting and fix SeekableStreamSupervisorStateManager impl
* move call to stateManager.markRunFinished() from RunNotice to runInternal() for tests
* remove stateHistory because it wasn't adding much value, some fixes, and add more tests
* fix tests
* code review changes and add HTTP health check status
* fix test failure
* refactor to split into a generic SupervisorStateManager and a specific SeekableStreamSupervisorStateManager
* fixup after merge
* code review changes - add additional docs
* cleanup KafkaIndexTaskTest
* add additional documentation for Kinesis indexing
* remove unused throws class
* Add checkstyle for "Local variable names shouldn't start with capital"
* Adjust some local variables to constants
* Replace StringUtils.LINE_SEPARATOR with System.lineSeparator()
* Bump Checkstyle to 8.20
Moderate severity vulnerability that affects:
com.puppycrawl.tools:checkstyle
Checkstyle prior to 8.18 loads external DTDs by default,
which can potentially lead to denial of service attacks
or the leaking of confidential information.
Affected versions: < 8.18
* Oops, missed one
* Oops, missed a few
* sampler initial check-in
fix checkstyle issues
add sampler fix to process CSV files from cache properly
change to composition and rename some classes
add tests and report num rows read and indexed
remove excludedByFilter flag and don't send filtered out data
fix tests to handle both settings for druid.generic.useDefaultValueForNull
* wrap sampler firehose in TimedShutoffFirehoseFactory to support timeouts
* code review changes - add additional comments, limit maxRows
* Make IngestSegmentFirehoseFactory splittable for parallel ingestion
* Code review feedback
- Get rid of WindowedSegment
- Don't document 'segments' parameter or support splitting firehoses that use it
- Require 'intervals' in WindowedSegmentId (since it won't be written by hand)
* Add missing @JsonProperty
* Integration test passes
* Add unit test
* Remove two FIXME comments from CompactionTask
I'd like to leave this PR in a potentially mergeable state, but I still would
appreciate reviewer eyes on the questions I'm removing here.
* Updates from code review
* Move GCP to a core extension
* Don't provide druid-core >.<
* Keep AWS and GCP modules separate
* Move AWSModule to its own module
* Add aws ec2 extension and more modules in more places
* Fix bad imports
* Fix test jackson module
* Include AWS and GCP core in server
* Add simple empty method comment
* Update version to 15
* One more 0.13.0-->0.15.0 change
* Fix multi-binding problem
* Grep for s3-extensions and update docs
* Update extensions.md
* Fix exclusivity for start offset in kinesis indexing service
* some adjustment
* Fix SeekableStreamDataSourceMetadata
* Add missing javadocs
* Add missing comments and unit test
* fix SeekableStreamStartSequenceNumbers.plus and add comments
* remove extra exclusivePartitions in KafkaIOConfig and fix downgrade issue
* Add javadocs
* fix compilation
* fix test
* remove unused variable
* Throw caught exception.
* Throw caught exceptions.
* Related checkstyle rule is added to prevent further bugs.
* RuntimeException() is used instead of Throwables.propagate().
* Missing import is added.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* * Checkstyle definition is improved.
* Throwables.propagate() usages are removed.
* Checkstyle pattern is changed for only scanning "Throwables.propagate(" instead of checking lookbehind.
* Throwable is kept before firing a Runtime Exception.
* Fix unused assignments.
* Reduce # of max subTasks to 2
* fix typo and add more doc
* add more doc and link
* change default and add warning
* fix doc
* add test
* fix it test
* Fix two SeekableStream serde issues.
1) Fix backwards-compatibility serde for SeekableStreamPartitions. It is needed
for split 0.13 / 0.14 clusters to work properly during a rolling update.
2) Abstract classes don't need JsonCreator constructors; remove them.
* Comment fixes.
* Added checkstyle for "Methods starting with Capital Letters" and changed the method names violating this.
* Un-abbreviate the method names in the calcite tests
* Fixed checkstyle errors
* Changed asserts position in the code
IndexTask had special-cased code to properly send a TaskToolbox to a
IngestSegmentFirehoseFactory that's nested inside a CombiningFirehoseFactory,
but ParallelIndexSubTask didn't.
This change refactors IngestSegmentFirehoseFactory so that it doesn't need a
TaskToolbox; it instead gets a CoordinatorClient and a SegmentLoaderFactory
directly injected into it.
This also refactors SegmentLoaderFactory so it doesn't depend on
an injectable SegmentLoaderConfig, since its only method always
replaces the preconfigured SegmentLoaderConfig anyway.
This makes it possible to use SegmentLoaderFactory without setting
druid.segmentCaches.locations to some dummy value.
Another goal of this PR is to make it possible for IngestSegmentFirehoseFactory
to list data segments outside of connect() --- specifically, to make it a
FiniteFirehoseFactory which can query the coordinator in order to calculate its
splits. See #7048.
This also adds missing datasource name URL-encoding to an API used by
CoordinatorBasedSegmentHandoffNotifier.
* Remove DataSegmentFinder, InsertSegmentToDb, and descriptor.json file
* delete descriptor.file when killing segments
* fix test
* Add doc for ha
* improve warning
* index_parallel: support !appendToExisting with no explicit intervals
This enables ParallelIndexSupervisorTask to dynamically request locks at runtime
if it is run without explicit intervals in the granularity spec and with
appendToExisting set to false. Previously, it behaved as if appendToExisting
was set to true, which was undocumented and inconsistent with IndexTask and
Hadoop indexing.
Also, when ParallelIndexSupervisorTask allocates segments in the explicit
interval case, fail if its locks on the interval have been revoked.
Also make a few other additions/clarifications to native ingestion docs.
Fixes#6989.
* Review feedback.
PR description on GitHub updated to match.
* Make native batch ingestion partitions start at 0
* Fix to previous commit
* Unit test. Verified to fail without the other commits on this branch.
* Another round of review
* Slightly scarier warning
* Improper equals override is fixed to prevent NullPointerException
* Fixed curly brace indentation.
* Test method is added for equals method of TaskLockPosse class.
* Prohibit assigning concurrent maps into Map-types variables and fields; Fix a race condition in CoordinatorRuleManager; improve logic in DirectDruidClient and ResourcePool
* Enforce that if compute(), computeIfAbsent(), computeIfPresent() or merge() is called on a ConcurrentHashMap, it's stored in a ConcurrentHashMap-typed variable, not ConcurrentMap; add comments explaining get()-before-computeIfAbsent() optimization; refactor Counters; fix a race condition in Intialization.java
* Remove unnecessary comment
* Checkstyle
* Fix getFromExtensions()
* Add a reference to the comment about guarded computeIfAbsent() optimization; IdentityHashMap optimization
* Fix UriCacheGeneratorTest
* Workaround issue with MaterializedViewQueryQueryToolChest
* Strengthen Appenderator's contract regarding concurrency
* * Add few methods about base64 into StringUtils
* Use `java.util.Base64` instead of others
* Add org.apache.commons.codec.binary.Base64 & com.google.common.io.BaseEncoding into druid-forbidden-apis
* Rename encodeBase64String & decodeBase64String
* Update druid-forbidden-apis
* KillTask from overlord UI now makes sure that it terminates the underlying MR job, thus saving unnecessary compute
Run in jobby is now split into 2
1. submitAndGetHadoopJobId followed by 2. run
submitAndGetHadoopJobId is responsible for submitting the job and returning the jobId as a string, run monitors this job for completion
JobHelper writes this jobId in the path provided by HadoopIndexTask which in turn is provided by the ForkingTaskRunner
HadoopIndexTask reads this path when kill task is clicked to get hte jobId and fire the kill command via the yarn api. This is taken care in the stopGracefully method which is called in SingleTaskBackgroundRunner. Have enabled `canRestore` method to return `true` for HadoopIndexTask in order for the stopGracefully method to be called
Hadoop*Job files have been changed to incorporate the changes to jobby
* Addressing PR comments
* Addressing PR comments - Fix taskDir
* Addressing PR comments - For changing the contract of Task.stopGracefully()
`SingleTaskBackgroundRunner` calls stopGracefully in stop() and then checks for canRestore condition to return the status of the task
* Addressing PR comments
1. Formatting
2. Removing `submitAndGetHadoopJobId` from `Jobby` and calling writeJobIdToFile in the job itself
* Addressing PR comments
1. POM change. Moving hadoop dependency to indexing-hadoop
* Addressing PR comments
1. stopGracefully now accepts TaskConfig as a param
Handling isRestoreOnRestart in stopGracefully for `AppenderatorDriverRealtimeIndexTask, RealtimeIndexTask, SeekableStreamIndexTask`
Changing tests to make TaskConfig param isRestoreOnRestart to true
* Use multi-guava version friendly direct executor implementation
* Don't use a singleton
* Fix strict compliation complaints
* Copy Guava's DirectExecutor
* Fix javadoc
* Imports are the devil
* FilteredRequestLogger: Fix start/stop, invalid delegate behavior.
Fixes two bugs:
1) FilteredRequestLogger did not start/stop the delegate.
2) FilteredRequestLogger would ignore an invalid delegate type, and
instead silently substitute the "noop" logger. This was due to a larger
problem with RequestLoggerProvider setup in general; the fix here is
to remove "defaultImpl" from the RequestLoggerProvider interface, and
instead have JsonConfigurator be responsible for creating the
default implementations. It is stricter about things than the old system
was, and is only willing to make a noop logger if it doesn't see any
request logger configs. Otherwise, it'll raise a provision error.
* Remove unneeded annotations.
* remove AbstractResourceFilter.isApplicable because it is not, add tests for OverlordResource.doShutdown and OverlordResource.shutdownTasksForDatasource
* cleanup
* 1. added support for unused DateTime start parameter in getRecentlyFinishedTaskInfoSince method:
HeapMemoryTaskStorage.getRecentlyFinishedTaskInfoSince return the finished tasks by comparing TaskStuff.createdDate with the start time
2. added filtering by status complete to TaskStuff list stream in HeapMemoryTaskStorage.getNRecentlyFinishedTaskInfo method.
3. changed names of methods and parameters to present that public API method OverlordResource.getTasks return the list of completed tasks, which createdDate, not date of completion, belongs to the interval parameter.
* 1. added support for unused DateTime start parameter in getRecentlyFinishedTaskInfoSince method:
HeapMemoryTaskStorage.getRecentlyFinishedTaskInfoSince return the finished tasks by comparing TaskStuff.createdDate with the start time
2. added filtering by status complete to TaskStuff list stream in HeapMemoryTaskStorage.getNRecentlyFinishedTaskInfo method.
3. changed names of methods and parameters to present that public API method OverlordResource.getTasks return the list of completed tasks, which createdDate, not date of completion, belongs to the interval parameter.
* Fixed OverlordResourceTest to Support changed methods names
* Changed methods and parameters names to make them more obvious to understand.
* Changed String.replace() for the StringUtils.replace()(#6607)
* Fixed checkstyle error
* Add checkstyle rules about imports and empty lines between members
* Add suppressions
* Update Eclipse import order
* Add empty line
* Fix StatsDEmitter
* Prohibit some guava collection APIs and use JDK APIs directly
* reset files that changed by accident
* sort codestyle/druid-forbidden-apis.txt alphabetically
* Use NodeType enum instead of Strings
* Make NodeType constants uppercase
* Fix CommonCacheNotifier and NodeType/ServerType comments
* Reconsidering comment
* Fix import
* Add a comment to CommonCacheNotifier.NODE_TYPES
This PR accumulates many refactorings and small improvements that I did while preparing the next change set of https://github.com/druid-io/druid/projects/2. I finally decided to make them a separate PR to minimize the volume of the main PR.
Some of the changes:
- Renamed confusing "Generic Column" term to "Numeric Column" (what it actually implies) in many class names.
- Generified `ComplexMetricExtractor`
* Replace statusCode with status (#6333)
Also changed runnerStatusCode to runnerStatus to keep things consistent
* Add unit test
* Add status param to TaskStatusPlus
Revert to statusCode and runnerStatusCode
* Add additional status member to TaskStatusPlus
* Change TaskResponseObject to match overlord's response object
* Address PR comments
* address comments
* Add runtime exception after logging error
* Remove (deprecated)status member variable from TaskStatusPlus
* Minor change
* Add support targetCompactionSizeBytes for compactionTask
* fix test
* fix a bug in keepSegmentGranularity
* fix wrong noinspection comment
* address comments
* 'suspend' and 'resume' support for kafka indexing service
changes:
* introduces `SuspendableSupervisorSpec` interface to describe supervisors which support suspend/resume functionality controlled through the `SupervisorManager`, which will gracefully shutdown the supervisor and it's tasks, update it's `SupervisorSpec` with either a suspended or running state, and update with the toggled spec. Spec updates are provided by `SuspendableSupervisorSpec.createSuspendedSpec` and `SuspendableSupervisorSpec.createRunningSpec` respectively.
* `KafkaSupervisorSpec` extends `SuspendableSupervisorSpec` and now supports suspend/resume functionality. The difference in behavior between 'running' and 'suspended' state is whether the supervisor will attempt to ensure that indexing tasks are or are not running respectively. Behavior is identical otherwise.
* `SupervisorResource` now provides `/druid/indexer/v1/supervisor/{id}/suspend` and `/druid/indexer/v1/supervisor/{id}/resume` which are used to suspend/resume suspendable supervisors
* Deprecated `/druid/indexer/v1/supervisor/{id}/shutdown` and moved it's functionality to `/druid/indexer/v1/supervisor/{id}/terminate` since 'shutdown' is ambiguous verbage for something that effectively stops a supervisor forever
* Added ability to get all supervisor specs from `/druid/indexer/v1/supervisor` by supplying the 'full' query parameter `/druid/indexer/v1/supervisor?full` which will return a list of json objects of the form `{"id":<id>, "spec":<SupervisorSpec>}`
* Updated overlord console ui to enable suspend/resume, and changed 'shutdown' to 'terminate'
* move overlord console status to own column in supervisor table so does not look like garbage
* spacing
* padding
* other kind of spacing
* fix rebase fail
* fix more better
* all supervisors now suspendable, updated materialized view supervisor to support suspend, more tests
* fix log
* resolves#5898 by adding maxTotalRows to incremental publishing kafka index task and appenderator based realtime indexing task, as available in IndexTask
* address review comments
* changes due to review
* merge fail
* Rename io.druid to org.apache.druid.
* Fix META-INF files and remove some benchmark results.
* MonitorsConfig update for metrics package migration.
* Reorder some dimensions in inner queries for some reason.
* Fix protobuf tests.
* Fix all inspection errors currently reported.
TeamCity builds on master are reporting inspection errors, possibly
because there was a while where it was not running due to the Apache
migration, and there was some drift.
* Fix one more location.
* Fix tests.
* Another fix.
* Cache: Add maxEntrySize config.
The idea is this makes it more feasible to cache query types that
can potentially generate large result sets, like groupBy and select,
without fear of writing too much to the cache per query.
Includes a refactor of cache population code in CachingQueryRunner and
CachingClusteredClient, such that they now use the same CachePopulator
interface with two implementations: one for foreground and one for
background.
The main reason for splitting the foreground / background impls is
that the foreground impl can have a more effective implementation of
maxEntrySize. It can stop retaining subvalues for the cache early.
* Add CachePopulatorStats.
* Fix whitespace.
* Fix docs.
* Fix various tests.
* Add tests.
* Fix tests.
* Better tests
* Remove conflict markers.
* Fix licenses.
* 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
* Remove some unnecessary task storage internal APIs.
- Remove MetadataStorageActionHandler's getInactiveStatusesSince and getActiveEntriesWithStatus.
- Remove TaskStorage's getCreatedDateTimeAndDataSource.
- Remove TaskStorageQueryAdapter's getCreatedTime, and getCreatedDateAndDataSource.
- Migrated all callers to getActiveTaskInfo and getCompletedTaskInfo.
This has one side effect: since getActiveTaskInfo (new) warns and continues when it
sees unreadable tasks, but getActiveEntriesWithStatus threw an exception when it
encountered those, it means that after this patch bad tasks will be ignored when
syncing from metadata storage rather than causing an exception to be thrown.
IMO, this is an improvement, since the most likely reason for bad tasks is either:
- A new version introduced an additional validation, and a pre-existing task doesn't
pass it.
- You are rolling back from a newer version to an older version.
In both cases, I believe you would want to skip tasks that can't be deserialized,
rather than blocking overlord startup.
* Remove unused import.
* Fix formatting.
* Fix formatting.
* Various changes about druid-services module
* Patch improvements from reviewer
* Add ToArrayCallWithZeroLengthArrayArgument & ArraysAsListWithZeroOrOneArgument into inspection profile
* Fix ArraysAsListWithZeroOrOneArgument
* Fix conflict
* Fix ToArrayCallWithZeroLengthArrayArgument
* Fix AliEqualsAvoidNull
* Remove blank line
* Remove unused import clauses
* Fix code style in TopNQueryRunnerTest
* Fix conflict
* Don't use Collections.singletonList when converting the type of array type
* Add argLine into maven-surefire-plugin in druid-process module & increase the timeout value for testMoveSegment testcase
* Roll back the latest commit
* Add java.io.File#toURL() into druid-forbidden-apis
* Using Boolean.parseBoolean instead of Boolean.valueOf for CliCoordinator#isOverlord
* Add a new regexp element into stylecode xml file
* Fix style error for new regexp
* Set the level of ArraysAsListWithZeroOrOneArgument as WARNING
* Fix style error for new regexp
* Add option BY_LEVEL for ToArrayCallWithZeroLengthArrayArgument in inspection profile
* Roll back the level as ToArrayCallWithZeroLengthArrayArgument as ERROR
* Add toArray(new Object[0]) regexp into checkstyle config file & fix them
* Set the level of ArraysAsListWithZeroOrOneArgument as ERROR & Roll back the level of ToArrayCallWithZeroLengthArrayArgument as WARNING until Youtrack fix it
* Add a comment for string equals regexp in checkstyle config
* Fix code format
* Add RedundantTypeArguments as ERROR level inspection
* Fix cannot resolve symbol datasource
* Add support to filter on datasource for active tasks
* Added datasource filter to sql query for active tasks
* Fixed unit tests
* Address PR comments
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.
* 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
* implement materialized view
* modify code according to jihoonson's comments
* modify code according to jihoonson's comments - 2
* add documentation about materialized view
* use new HadoopTuningConfig in pr 5583
* add minDataLag and fix optimizer bug
* correct value of DEFAULT_MIN_DATA_LAG_MS
* modify code according to jihoonson's comments - 3
* use the boolean expression instead of if-else
* Adding decoration method to proxy servlet
Change-Id: I872f9282fb60bfa20524271535980a36a87b9621
* moving the proxy request decoration to authenticators
Change-Id: I7f94b9ff5ecf08e8abf7169b58bc410f33148448
* added docs
Change-Id: I901543e52f0faf4666bfea6256a7c05593b1ae70
* use the authentication result to decorate request
Change-Id: I052650de9cd02b4faefdbcdaf2332dd3b2966af5
* adding authenticated by name
Change-Id: I074d2933460165feeddb19352eac9bd0f96f42ca
* ensure that authenticator is not null
Change-Id: Idb58e308f90db88224a06f3759114872165b24f5
* fix types and minor bug
Change-Id: I6801d49a05d5d8324406fc0280286954eb66db10
* fix typo
Change-Id: I390b12af74f44d760d0812a519125fbf0df4e97b
* use actual type names
Change-Id: I62c3ee763363781e52809ec912aafd50b8486b8e
* set authenitcatedBy to null for AutheticationResults created by
Escalator.
Change-Id: I4a675c372f59ebd8a8d19c61b85a1e4bf227a8ba
* 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
Xavier Léauté
Maytas Monsereenusorn
Gian Merlino
Jihoon Son
Suneet Saldanha
zhangyue19921010
Agustin Gonzalez
Egor Riashin
Abhishek Agarwal
Liran Funaro
Jonathan Wei
Clint Wylie
frank chen
Himanshu
Liran Funaro
Mainak Ghosh
Parag Jain
Chi Cao Minh
Yuanli Han
Maytas Monsereenusorn
mcbrewster
Lijia Liu
Lucas Capistrant
Suneet Saldanha
Roman Leventov
Atul Mohan
Fangyuan Deng
Rye
chencb
Giuseppe Martino
Surekha
Mingming Qiu
elloooooo
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Eugene Sevastianov
Clint Wylie
Justin Borromeo
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Merlin Lee
Fokko Driesprong
David Lim
lxqfy
David Glasser
Charles Allen
Furkan KAMACI
Himanshu Pandey
Benedict Jin
Ankit Kothari
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