* Enable most IntelliJ 'Probable bugs' inspections
* Fix in RemoteTestNG
* Fix IndexSpec's equals() and hashCode() to include longEncoding
* Fix inspection errors
* Extract global isntance of natural().nullsFirst(); address comments
* Fix
* Use noinspection comments instead of SuppressWarnings on method for IntelliJ-specific inspections
* Prohibit Ordering.natural().nullsFirst() using Checkstyle
* 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
* Adding s3a schema and s3a implem to hdfs storage module.
* use 2.7.3
* use segment pusher to make loadspec
* move getStorageDir and makeLoad spec under DataSegmentPusher
* fix uts
* fix comment part1
* move to hadoop 2.8
* inject deep storage properties
* set version to 2.7.3
* fix build issue about static class
* fix comments
* fix default hadoop default coordinate
* fix create filesytem
* downgrade aws sdk
* bump the version
* 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
* 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
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
* Make timeout behavior consistent to document
* Refactoring BlockingPool and add more methods to QueryContexts
* remove unused imports
* Addressed comments
* Address comments
* remove unused method
* Make default query timeout configurable
* Fix test failure
* Change timeout from period to millis
* Initial commit
* Apply another config: clustername
* Rename variable
* Fix bug
* Add retry logic
* Edit retry logic
* Upgrade kafka-clients version to the most recent release
* Make callback single object
* Write documentation
* Rewrite error message and emit logic
* Handling AlertEvent
* Override toString()
* make clusterName more optional
* bump up druid version
* add producer.config option which make user can apply another optional config value of kafka producer
* remove potential blocking in emit()
* using MemoryBoundLinkedBlockingQueue
* Fixing coding convention
* Remove logging every exception and just increment counting
* refactoring
* trivial modification
* logging when callback has exception
* Replace kafka-clients 0.10.1.1 with 0.10.2.0
* Resolve the problem related of classloader
* adopt try statement
* code reformatting
* make variables final
* rewrite toString
* Monomorphic processing: add HotLoopCallee, CalledFromHotLoop, RuntimeShapeInspector, SpecializationService. Specialize topN queries with 1 or 2 aggregators. Add Cursor.advanceUninterruptibly() and isDoneOrInterrupted() for exception-free query processing.
* Use Execs.singleThreaded()
* RuntimeShapeInspector to support nullable fields
* Make CalledFromHotLoop annotation Inherited
* Remove unnecessary conversion of array of ColumnSelectorPluses to list and back to array in CardinalityAggregatorFactory
* Close InputStream in SpecializationService
* Formatting
* Test specialized PooledTopNScanners
* Set flags in PooledTopNAlgorithm directly
* Fix tests, dependent on CountAggragatorFactory toString() form
* Fix
* Revert CountAggregatorFactory changes
* Implement inspectRuntimeShape() for LongWrappingDimensionSelector and FloatWrappingDimensionSelector
* Remove duplicate RoaringBitmap dependency in the extendedset pom.xml
* Fix
* Treat ByteBuffers specially in StringRuntimeShape
* Doc fix
* Annotate BufferAggregator.init() with CalledFromHotLoop
* Make triggerSpecializationIterationsThreshold an int
* Remove SpecializationService.PerPrototypeClassState.of()
* Add comments
* Limit the amount of specializations that SpecializationService could make
* Add default implementation for BufferAggregator.inspectRuntimeShape(), for compatibility with extensions
* Use more efficient ConcurrentMap's idioms in SpecializationService
* In IndexMerger and IndexMergerV9, create temporary files under the output directory/tmpPeonFiles, instead of java.io.tmpdir
* Use FileUtils.forceMkdir() across the codebase and remove some unused code
* Fix test
* Fix PullDependencies.run()
* Unused import
* 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.
* Less use of File.deleteOnExit()
* removed deleteOnExit from most of the tests/benchmarks/iopeon
* Made IOpeon closable
* Formatting.
* Revert DeterminePartitionsJobTest, remove cleanup method from IOPeon
* modified "end" column to `end`. "end" is interpretted as a string rather than dereferencing the column value
* SQLMetadataConnector.getQuoteString defines the string that should be used to quote string fields
* positional arguments for String.format
* for Connectors that use " need to include the \ escape as well
* Add virtual column types, holder serde, and safety features.
Virtual columns:
- add long, float, dimension selectors
- put cache IDs in VirtualColumnCacheHelper
- adjust serde so VirtualColumns can be the holder object for Jackson
- add fail-fast validation for cycle detection and duplicates
- add expression virtual column in core
Storage adapters:
- move virtual column hooks before checking base columns, to prevent surprises
when a new base column is added that happens to have the same name as a
virtual column.
* Fix ExtractionDimensionSpecs with virtual dimensions.
* Fix unused imports.
* CR comments
* Merge one more time, with feeling.
* * Add DimensionSelector.idLookup() and nameLookupPossibleInAdvance() to allow better inspection of features DimensionSelectors supports, and safer code working with DimensionSelectors in BaseTopNAlgorithm, BaseFilteredDimensionSpec, DimensionSelectorUtils;
* Add PredicateFilteringDimensionSelector, to make BaseFilteredDimensionSpec to be able to decorate DimensionSelectors with unknown cardinality;
* Add DimensionSelector.makeValueMatcher() (two kinds) for DimensionSelector-side specifics-aware optimization of ValueMatchers;
* Optimize getRow() in BaseFilteredDimensionSpec's DimensionSelector, StringDimensionIndexer's DimensionSelector and SingleScanTimeDimSelector;
* Use two static singletons, TrueValueMatcher and FalseValueMatcher, instead of BooleanValueMatcher;
* Add NullStringObjectColumnSelector singleton and use it in MapVirtualColumn
* Rename DimensionSelectorUtils.makeNonDictionaryEncodedIndexedIntsBasedValueMatcher to makeNonDictionaryEncodedRowBasedValueMatcher
* Make ArrayBasedIndexedInts constructor private, replace it's usages with of() static factory method
* Cache baseIdLookup in ForwardingFilteredDimensionSelector
* Fix a bug in DimensionSelectorUtils.makeRowBasedValueMatcher(selector, predicate, matchNull)
* Employ precomputed BitSet optimization in DimensionSelector.makeValueMatcher(value, matchNull) when lookupId() is not available, but cardinality is known and lookupName() is available
* Doc fixes
* Addressed comments
* Fix
* Fix
* Adjust javadoc of DimensionSelector.nameLookupPossibleInAdvance() for SingleScanTimeDimSelector
* throw UnsupportedOperationException instead of IAE in BaseTopNAlgorithm
* streaming version of select query
* use columns instead of dimensions and metrics;prepare for valueVector;remove granularity
* respect query limit within historical
* use constant
* fix thread name corrupted bug when using jetty qtp thread rather than processing thread while working with SpecificSegmentQueryRunner
* add some test for scan query
* add scan query document
* fix merge conflicts
* add compactedList resultFormat, this format is better for json ser/der
* respect query timeout
* respect query limit on broker
* use static consts and remove unused code
* 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.
* Thrift ingestion plugin
1. thrift binary is platform dependent, use scrooge to generate java files to avoid style check failure
2. stream and hadoop ingesion are both supported, input format can be sequence file and lzo thrift block file.
3. base64 and protocol aware
change header
* fix conlicts in pom
This also involved some other test changes:
- Added a factory.mergeRunners step to AggregationTestHelper's groupBy chain, since the v2
engine does merging there.
- Changed test byteBuffer pools from on-heap to off-heap to work around
https://github.com/DataSketches/sketches-core/pull/116 for datasketches tests.
* Use Long timestamp as key instead of DateTime.
DateTime representation is screwed up when you store with an obj
and read with a different DateTime obj.
For example: The code below fails when you use DateTime as key
```
DateTime odt = DateTime.now(DateTimeUtils.getZone(DateTimeZone.forID("America/Los_Angeles")));
HashMap<DateTime, String> map = new HashMap<>();
map.put(odt, "abc");
DateTime dt = new DateTime(odt.getMillis());
System.out.println(map.get(dt));
```
* Respect timezone when creating the file.
* Update docs with timezone caveat in granularity spec
* Remove unused imports
* InputRowParser to decode OrcStruct from OrcNewInputFormat
* add unit test for orc hadoop indexing
* update docs and fix test code bug
* doc updated
* resove maven dependency conflict
* remove unused imports
* fix returning array type from Object[] to correct primitive array type
* fix to support getDimension() of MapBasedRow : changing return type of orc list from array to list
* rebase and updated based on comments
* updated based on comments
* on reflecting review comments
* fix bug in typeStringFromParseSpec() and add unit test
* add license header
This patch introduces a GroupByStrategy concept and two strategies: "v1"
is the current groupBy strategy and "v2" is a new one. It also introduces
a merge buffers concept in DruidProcessingModule, to try to better
manage memory used for merging.
Both of these are described in more detail in #2987.
There are two goals of this patch:
1. Make it possible for historical/realtime nodes to return larger groupBy
result sets, faster, with better memory management.
2. Make it possible for brokers to merge streams when there are no order-by
columns, avoiding materialization.
This patch does not do anything to help with memory management on the broker
when there are order-by columns or when there are nested queries. That could
potentially be done in a future patch.
* Eliminate exclusion groups from pull-deps
* Only consider dependency nodes in pull-deps if they are not in the following scopes
* provided
* test
* system
* Fix a bunch of `<scope>provided</scope>` missing tags
* Better exclusions for a couple of problematic libs
Roman Leventov
Slim
Jihoon Son
Benedict Jin
Fokko Driesprong
Gian Merlino
kaijianding
Dongkyu Hwangbo
Jason Banich
Roman Leventov
Karol Woźniak
Jonathan Wei
praveev
michaelschiff
Akash Dwivedi
Himanshu
Nishant
Ninglin Du
Navis Ryu
Erik Dubbelboer
Keuntae Park
Mark
Stéphane Derosiaux
Xavier Léauté
Hyukjin Kwon
Charles Allen
michaelschiff
DuNinglin [杜宁林]
fjy
binlijin