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
* Make the google extension friendlier to 429 responses
* Lots of trouble for a little space
* Add in better tests and fix formatting
* Add 500 errors as well as some basic unit tests
* Add IOException to test
* Add some more stuff to killer test
* Change error code in puller test
* fix tests and make errors more generic handling
* This commit introduces a new tuning config called 'maxBytesInMemory' for ingestion tasks
Currently a config called 'maxRowsInMemory' is present which affects how much memory gets
used for indexing.If this value is not optimal for your JVM heap size, it could lead
to OutOfMemoryError sometimes. A lower value will lead to frequent persists which might
be bad for query performance and a higher value will limit number of persists but require
more jvm heap space and could lead to OOM.
'maxBytesInMemory' is an attempt to solve this problem. It limits the total number of bytes
kept in memory before persisting.
* The default value is 1/3(Runtime.maxMemory())
* To maintain the current behaviour set 'maxBytesInMemory' to -1
* If both 'maxRowsInMemory' and 'maxBytesInMemory' are present, both of them
will be respected i.e. the first one to go above threshold will trigger persist
* Fix check style and remove a comment
* Add overlord unsecured paths to coordinator when using combined service (#5579)
* Add overlord unsecured paths to coordinator when using combined service
* PR comment
* More error reporting and stats for ingestion tasks (#5418)
* Add more indexing task status and error reporting
* PR comments, add support in AppenderatorDriverRealtimeIndexTask
* Use TaskReport instead of metrics/context
* Fix tests
* Use TaskReport uploads
* Refactor fire department metrics retrieval
* Refactor input row serde in hadoop task
* Refactor hadoop task loader names
* Truncate error message in TaskStatus, add errorMsg to task report
* PR comments
* Allow getDomain to return disjointed intervals (#5570)
* Allow getDomain to return disjointed intervals
* Indentation issues
* Adding feature thetaSketchConstant to do some set operation in PostAgg (#5551)
* Adding feature thetaSketchConstant to do some set operation in PostAggregator
* Updated review comments for PR #5551 - Adding thetaSketchConstant
* Fixed CI build issue
* Updated review comments 2 for PR #5551 - Adding thetaSketchConstant
* Fix taskDuration docs for KafkaIndexingService (#5572)
* With incremental handoff the changed line is no longer true.
* Add doc for automatic pendingSegments (#5565)
* Add missing doc for automatic pendingSegments
* address comments
* Fix indexTask to respect forceExtendableShardSpecs (#5509)
* Fix indexTask to respect forceExtendableShardSpecs
* add comments
* Deprecate spark2 profile in pom.xml (#5581)
Deprecated due to https://github.com/druid-io/druid/pull/5382
* CompressionUtils: Add support for decompressing xz, bz2, zip. (#5586)
Also switch various firehoses to the new method.
Fixes#5585.
* This commit introduces a new tuning config called 'maxBytesInMemory' for ingestion tasks
Currently a config called 'maxRowsInMemory' is present which affects how much memory gets
used for indexing.If this value is not optimal for your JVM heap size, it could lead
to OutOfMemoryError sometimes. A lower value will lead to frequent persists which might
be bad for query performance and a higher value will limit number of persists but require
more jvm heap space and could lead to OOM.
'maxBytesInMemory' is an attempt to solve this problem. It limits the total number of bytes
kept in memory before persisting.
* The default value is 1/3(Runtime.maxMemory())
* To maintain the current behaviour set 'maxBytesInMemory' to -1
* If both 'maxRowsInMemory' and 'maxBytesInMemory' are present, both of them
will be respected i.e. the first one to go above threshold will trigger persist
* Address code review comments
* Fix the coding style according to druid conventions
* Add more javadocs
* Rename some variables/methods
* Other minor issues
* Address more code review comments
* Some refactoring to put defaults in IndexTaskUtils
* Added check for maxBytesInMemory in AppenderatorImpl
* Decrement bytes in abandonSegment
* Test unit test for multiple sinks in single appenderator
* Fix some merge conflicts after rebase
* Fix some style checks
* Merge conflicts
* Fix failing tests
Add back check for 0 maxBytesInMemory in OnHeapIncrementalIndex
* Address PR comments
* Put defaults for maxRows and maxBytes in TuningConfig
* Change/add javadocs
* Refactoring and renaming some variables/methods
* Fix TeamCity inspection warnings
* Added maxBytesInMemory config to HadoopTuningConfig
* Updated the docs and examples
* Added maxBytesInMemory config in docs
* Removed references to maxRowsInMemory under tuningConfig in examples
* Set maxBytesInMemory to 0 until used
Set the maxBytesInMemory to 0 if user does not set it as part of tuningConfing
and set to part of max jvm memory when ingestion task starts
* Update toString in KafkaSupervisorTuningConfig
* Use correct maxBytesInMemory value in AppenderatorImpl
* Update DEFAULT_MAX_BYTES_IN_MEMORY to 1/6 max jvm memory
Experimenting with various defaults, 1/3 jvm memory causes OOM
* Update docs to correct maxBytesInMemory default value
* Minor to rename and add comment
* Add more details in docs
* Address new PR comments
* Address PR comments
* Fix spelling typo
* Add more indexing task status and error reporting
* PR comments, add support in AppenderatorDriverRealtimeIndexTask
* Use TaskReport instead of metrics/context
* Fix tests
* Use TaskReport uploads
* Refactor fire department metrics retrieval
* Refactor input row serde in hadoop task
* Refactor hadoop task loader names
* Truncate error message in TaskStatus, add errorMsg to task report
* PR comments
* Add support for task reports, upload reports to deep storage
* PR comments
* Better name for method
* Fix report file upload
* Use TaskReportFileWriter
* Checkstyle
* More PR comments
* Future-proof some Guava usage
* Use a java-util EmptyIterator instead of Guava's
* Change some of the guava future handling to do manual async
transforms. Guava changes transform into transformAsync by deprecating
transform in ONLY Guava 19. Then its gone in 20
* Use `Collections.emptyIterator()`
* Pretty formatting
* Make listenable future transforms a thing in default druid
* Format fix
* Add forbidden guava apis
* Make the ListenableFutrues.transformAsync have comments
* Undo intellij bad pattern matching in comments
* Futrues --> Futures
* Add empty iterators forbidding
* Fix extra `A`
* Correct method signature
* Address review comments
* Finish Gian review comments
* Proper syntax from https://github.com/policeman-tools/forbidden-apis/wiki/SignaturesSyntax
* Support map type in orc extension.
Added getMapObject in OrcHadoopInputRowParser
Updated parse tests to parse map-type field in OrcHadoopInputRowParserTest
* changed from for-loop to foreach
* added resolution of column names when map types are exploded to several
columns. updated the document as well -- orc.md.
* Update orc.md
change from review
* Support Hadoop batch ingestion for druid-azure-extensions #5181
* Fix indentation issues
* Fix forbidden-apis violation
* Code & doc improvements for azure-extensions
* Rename version to binaryVersion where appropriate to avoid confusion
* Set default protocol to wasbs://, as recommended by the Azure docs
* Add link to Azure documentation for wasb(s):// path
* Remove any colons from the dataSegment.getVersion()
* Added test for dataSegment.getVersion colon is replaced
* Use StringUtils.format for String concatenation
* remove empty lines
* Remove unneeded StringUtils.format from log.info
* opentsdb emitter extension
* doc for opentsdb emitter extension
* update opentsdb emitter doc
* add the ms unit to the constant name
* add a configurable event limit
* fix version to 0.13.0-SNAPSHOT
* using a thread to consume metric event
* rename method and parameter
* Introduce "transformSpec" at ingest-time.
It accepts a "filter" (standard query filter object) and "transforms" (a
list of objects with "name" and "expression"). These can be used to do
filtering and single-row transforms without need for a separate data
processing job.
The "expression" fields use the same expression language as other
expression-based feature.
* Remove forbidden api.
* Fix compile error.
* Fix tests.
* Some more changes.
- Add nullable annotation to Firehose.nextRow.
- Add tests for index task, realtime task, kafka task, hadoop mapper,
and ingestSegment firehose.
* Fix bad merge.
* Adjust imports.
* Adjust whitespace.
* Make Transform into an interface.
* Add missing annotation.
* Switch logger.
* Switch logger.
* Adjust test.
* Adjustment to handling for DatasourceIngestionSpec.
* Fix test.
* CR comments.
* Remove unused method.
* Add javadocs.
* More javadocs, and always decorate.
* Fix bug in TransformingStringInputRowParser.
* Fix bad merge.
* Fix ISFF tests.
* Fix DORC test.
* Added org.joda.time.DateTime#(java.lang.String) to forbidden API.
* Added org.joda.time.DateTime#(java.lang.String, org.joda.time.format.DateTimeFormatter) to forbidden API.
* Add additional APIs that may create DateTime with default time zone
* Add helper function that accepts formatter to parse String.
* Add additional forbidden APIs
* Replace existing usage of forbidden APIs
* Use wrapper class to enforce Chronology on DateTimeFormatter.
* Creates constant UtcFormatter for constant ISODateTimeFormat.
* Add flattenSpec support to the Avro parser.
Also:
- Refactor the JSONPathParser a bit so it can share flattening code
with Avro (see ObjectFlatteners).
- Remove the JSONParser. It was only used in two places: by
UriNamespaceExtractor, and as a base for JSONToLowerParser. Migrated
the former to JSONPathParser and made the latter a standalone.
- Move GenericRecordAsMap to the Parquet extension, since the Avro
extension no longer uses it.
* Fix indentation.
* Fix equals/hashCode.
* Move scan-query from a contrib extension into core.
Based on a proposal at: https://groups.google.com/d/topic/druid-development/ME_OatUDnbk/discussion
This patch also adds support for virtual columns to the Scan query,
and updates Druid SQL to use Scan instead of Select.
This patch also makes some behavioral changes to handling of the __time
column. In particular, it is now is returned as "__time" rather than
"timestamp"; it is no longer included if you do not specifically ask for
it in your "columns"; and it is returned as a long rather than a string.
Users can revert time handling to the legacy extension behavior by
setting "legacy" : true in their queries, or setting the property
druid.query.scan.legacy = true. This is meant to provide a migration
path for users that were formerly using the contrib extension.
* Adjustments from review.
* Add back Select query.
* Adjust SQL docs.
* Restore SelectQuery link.
* Factor QueryableIndexColumnSelectorFactory and IncrementalIndexColumnSelectorFactory out of QueryableIndexStorageAdapter and IncrementalIndexStorageAdapter; Add Offset.getBaseReadableOffset(); Remove OffsetHolder interface; Replace Cursor extends ColumnSelectorFactory with composition; Reduce indirection in ColumnValueSelectors created by QueryableIndexColumnSelectorFactory
* Don't override clone() in FilteredOffset (the prev. implementation was broken); Some warnings fixed
* Simplify Cursors in QueryableIndexStorageAdapter
* Address comments
* Remove unused and unimplemented methods from GenericColumn interface
* Comments
* Fix dimension selectors with extractionFns on missing columns.
This patch properly applies the requested extractionFn to missing columns.
It's important when the extractionFn maps null to something other than null.
* Extract helper method.
* Change contracts of VirtualColumns and VirtualColumn methods based on review comments.
* Remove unused import.
* Remove unused method.
* Adjust helper function.
* Adjustments
* Remove some unnecessary use of boxed types.
* Fix some incorrect format strings.
* Enable IDEA's MalformedFormatString inspection.
* Add a Checkstyle check for finding uses of incorrect logging packages.
* Fix some incorrect usages of the metamx logger.
* Bypass incorrect logger Checkstyle check where using the correct logger is not simple.
* Fix some more places where the wrong number of arguments are provided to format strings.
* Suppress `MalformedFormatString` inspection on legacy logging test.
* Use @SuppressWarnings rather than a noinspection suppression comment.
* Fix some more incorrect format strings.
* Suppress some more incorrect format string warnings where the incorrect string is intentional.
* Log the aggregator when closing it fails.
* Remove some unneeded log lines.
* Avoid usages of Default system Locale and printing to System.out or System.err in production code
* Fix Charset in DruidKerberosUtil
* Remove redundant string format in GenericIndexed
* Rename StringUtils.safeFormat() to unimportantSafeFormat(); add StringUtils.format() which fails as well as String.format()
* Fix testSafeFormat()
* More fixes of redundant StringUtils.format() inside ISE
* Rename unimportantSafeFormat() to nonStrictFormat()
* Add some new expression functions and macros.
See misc/math-expr.md for the list of added functions, except for
"like", which previously existed but was not documented.
* Add easymock to datasketches tests.
* Add easymock to distinctcount tests.
* Add easymock to virtual-columns tests.
* Code review comments.
* Clean up code a bit.
* Add easymock to scan-query tests.
* Rework ExprMacros that have multiple impls.
* Improve test coverage.
* Add Date support to the parquet reader
Add support for the Date logical type. Currently this is not supported. Since the parquet
date is number of days since epoch gets interpreted as seconds since epoch, it will fails
on indexing the data because it will not map to the appriopriate bucket.
* Cleaned up code and tests
Got rid of unused json files in the examples, cleaned up the tests by
using try-with-resources. Now get the filenames from the json file
instead of hard coding them and integrated general improvements from
the feedback provided by leventov.
* Got rid of the caching
Remove the caching of the logical type of the time dimension column
and cleaned up the code a bit.
* Adding a flag to indicate when ObjectCachingColumnSelectorFactory need not be threadsafe.
* - Use of computeIfAbsent over putIfAbsent
- Replace Maps.newXXXMap() with normal instantiation
- Documentations on when is thread-safe required.
- Use Builders for On/OffheapIncrementalIndex
* - Optimization on computeIfAbsent
- Constant EMPTY DimensionsSpec
- Improvement on IncrementalIndexSchema.Builder
- Remove setting of default values
- Use var args for metrics
- Correction on On/OffheapIncrementalIndex Builders
- Combine On/OffheapIncrementalIndex Builders
* - Removing unused imports.
* - Helper method for testing with IncrementalIndex.Builder
* - Correction on javadoc.
* Style fix
* Make PolyBind to fail if property value is not found
* Fix test
* Add onHeap option in NamespaceExtractionModule
* Add PolyBind.createChoiceWithDefaultNoScope()
* Fix NPE
* Fix
* Configure MetadataStorageProvider option for MySQL, PostgreSQL and SQLServer
* Deprecate PolyBind.createChoiceWithDefault form with unused defaultKey
* Fix NPE
* 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
Gian Merlino
zhangxinyu
Surekha
Fokko Driesprong
Charles Allen
kaijianding
David Lim
Roman Leventov
Erik Dubbelboer
Jihoon Son
Jonathan Wei
Kirill Kozlov
Nathan Hartwell
Nishant Bangarwa
Dan Suzuki
Spyros Kapnissis
QiuMM
Kevin Conaway
Parag Jain
chaoqiang
Goh Wei Xiang
Bartosz Ługowski
Yuewen Wang
Yuusaku Taniguchi
Slim
Chris Gavin
Niketh Sabbineni
Benedict Jin
Dongkyu Hwangbo
Jason Banich
Roman Leventov
Karol Woźniak
praveev
michaelschiff
Akash Dwivedi
Himanshu
Ninglin Du
Navis Ryu
Keuntae Park
Mark
Stéphane Derosiaux
Xavier Léauté
Hyukjin Kwon
michaelschiff
DuNinglin [杜宁林]
fjy
binlijin