* Remove cache keys from HavingSpecs.
They weren't used, since they aren't part of the groupBy cache key.
Also, it's good that they weren't used, since many of them had
value truncation bugs.
* Fix imports.
* Fix test.
* Monomorphic processing of topN queries with simple double aggregators and historical segments
* Add CalledFromHotLoop annocations to specialized methods in SimpleDoubleBufferAggregator
* Fix a bug in Historical1SimpleDoubleAggPooledTopNScannerPrototype
* Fix a bug in SpecializationService
* In SpecializationService, emit maxSpecializations warning only once
* Make GenericIndexed.theBuffer final
* Address comments
* Newline
* Reapply 439c906 (Make GenericIndexed.theBuffer final)
* Remove extra PooledTopNAlgorithm.capabilities field
* Improve CachingIndexed.inspectRuntimeShape()
* Fix CompressedVSizeIntsIndexedSupplier.inspectRuntimeShape()
* Don't override inspectRuntimeShape() in subclasses of CompressedVSizeIndexedInts
* Annotate methods in specializations of DimensionSelector and FloatColumnSelector with @CalledFromHotLoop
* Make ValueMatcher to implement HotLoopCallee
* Doc fix
* Fix inspectRuntimeShape() impl in ExpressionSelectors
* INFO logging of specialization events
* Remove modificator
* Fix OrFilter
* Fix AndFilter
* Refactor PooledTopNAlgorithm.scanAndAggregate()
* Small refactoring
* Add 'nothing to inspect' messages in empty HotLoopCallee.inspectRuntimeShape() implementations
* Don't care about runtime shape in tests
* Fix accessor bugs in Historical1SimpleDoubleAggPooledTopNScannerPrototype and HistoricalSingleValueDimSelector1SimpleDoubleAggPooledTopNScannerPrototype, cover them with tests
* Doc wording
* Address comments
* Remove MagicAccessorBridge and ensure Offset subclasses are public
* Attach error message to element
From the kafka-schema-registry-client in the avro extension slf4j
will be packaged into the distribution. We don't want this as it
will conflict and throw a slf4j multiple bindings warning.
This will cause slf4j to fall back to no-operation (NOP) binding.
* 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
* Fixed: Average Server Percent Used: NaN% Error when server startup is in progress #4214
* 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
* optionally add extensions to explicitly specified hadoopContainerClassPath
* note extensions always pushed in hadoop container when druid.extensions.hadoopContainerDruidClasspath is not provided explicitly
* Ignore misnamed segment cache info files.
Fixes a bug where historical nodes could announce the same segment twice,
ultimately leading to historicals and their watchers (like coordinators
and brokers) being out of sync about which segments are served.
This could be caused if Druid is switched from local time to UTC, because
that causes the same segment descriptors to lead to different identifiers
(an identifier with local time interval before the switch, and UTC interval
after the switch). In turn this causes that segment descriptor to be written
to multiple segment cache info files and potentially get announced twice.
Later, if the historical receives a drop request, it drops the segment and
unannounces it once, but the other announcement would stick around in an
ephemeral znode forever, confusing coordinators and brokers.
* Only alert once.
* coordinator lookups mgmt improvements
* revert replaces removal, deprecate it instead
* convert and use older specs stored in db
* more tests and updates
* review comments
* add behavior for 0.10.0 to 0.9.2 downgrade
* incorporating more review comments
* remove explicit lock and use LifecycleLock in LookupReferencesManager. use LifecycleLock in LookupCoordinatorManager as well
* wip on LookupCoordinatorManager
* lifecycle lock
* refactor thread creation into utility method
* more review comments addressed
* support smooth roll back of lookup snapshots from 0.10.0 to 0.9.2
* correctly use LifecycleLock in LookupCoordinatorManager and remove synchronization from start/stop
* run lookup mgmt on leader coordinator only
* wip: changes to do multiple start() and stop() on LookupCoordinatorManager
* lifecycleLock fix usage in LookupReferencesManagerTest
* add LifecycleLock back
* fix license hdr
* some fixes
* make LookupReferencesManager.getAllLookupsState() consistent while still being lockless
* address review comments
* addressing leventov's comments
* address charle's comments
* add IOE.java
* for safety in LookupReferencesManager mainThread check for lifecycle started state on each loop in addition to interrupt
* move thread creation utility method to Execs
* fix names
* add tests for LookupCoordinatorManager.lookupManagementLoop()
* add further tests for figuring out toBeLoaded and toBeDropped on LookupCoordinatorManager
* address leventov comments
* remove LookupsStateWithMap and parameterize LookupsState
* address review comments
* address more review comments
* misc fixes
Hi guys,
Since Spark 2.x uses Parquet 1.8.2, we would like to update Druid's parquet library from 1.8.1 to 1.8.2 as well. It includes a lot of patches, performance improvements and better compatibility:
4aba4da...c652278
Cheers, Fokko
* Add queryMetrics property to Query interface; Fix bugs and removed unused code in Druids
* Fix a bug in TimeBoundaryQuery.getFilter() and remove TimeBoundaryQuery.getDimensionsFilter()
* Don't reassign query's queryMetrics if already present in CPUTimeMetricQueryRunner and MetricsEmittingQueryRunner
* Add compatibility constructor to BaseQuery
* Remove Query.queryMetrics property
* Move nullToNoopLimitSpec() method to LimitSpec interface
* Rename GroupByQuery.applyLimit() to postProcess(); Fix inconsistencies in GroupByQuery.Builder
These objects get constructed semi-frequently (any time a parser is
deserialized) and so info logs are spammy. They'll still appear in
task logs at least once, since they're part of the task definition and
will get logged due to that.
Updating the description of useCache
Updating query-context doc based on Gian's comment
Updating query-context doc based on Gian's comment
Updating query-context doc based on Gian's comment
Updating query-context doc based on Gian's comment
Himanshu
Roman Leventov
Gian Merlino
David Lim
Benedict Jin
Charles Allen
Yuya Fujiwara
Jihoon Son
Fokko Driesprong
satishbhor
Parag Jain
Pierre
Parag Jain
hzy001
kaijianding
Bas van Schaik
Akash Dwivedi
asrayousuf