This is an automated email from the ASF dual-hosted git repository.
echauchot pushed a change to branch spark-runner_structured-streaming
in repository https://gitbox.apache.org/repos/asf/beam.git.
discard 239bc93 Add setEnableSparkMetricSinks()
discard db96d6a Add missing dependencies to run Spark Structured Streaming
Runner on Nexmark
discard 59cc5dd Add metrics support in DoFn
discard fc83520 Ignore for now not working test testCombineGlobally
discard 59b9e3f Add a test that combine per key preserves windowing
discard 618cc5c Clean groupByKeyTest
discard 0347a07 add comment in combine globally test
discard c5aad8f Fixed immutable list bug
discard e741781 Fix javadoc of AggregatorCombiner
discard 85e6df4 Clean not more needed WindowingHelpers
discard 6add5fe Clean not more needed RowHelpers
discard df16763 Clean no more needed KVHelpers
discard bf13e07 Now that there is only Combine.PerKey translation, make only
one Aggregator
discard e80c908 Remove CombineGlobally translation because it is less
performant than the beam sdk one (key + combinePerKey.withHotkeyFanout)
discard 37cdd7e Remove the mapPartition that adds a key per partition because
otherwise spark will reduce values per key instead of globally
discard 38e9eae Fix bug in the window merging logic
discard dcb3949 Fix wrong encoder in combineGlobally GBK
discard 11c3792 Fix case when a window does not merge into any other window
discard 884e5f90 Apply a groupByKey avoids for some reason that the spark
structured streaming fmwk casts data to Row which makes it impossible to
deserialize without the coder shipped into the data. For performance reasons
(avoid memory consumption and having to deserialize), we do not ship coder +
data. Also add a mapparitions before GBK to avoid shuffling
discard f0522dc [to remove] temporary: revert extractKey while combinePerKey
is not done (so that it compiles)
discard 9a269ef Fix encoder in combine call
discard 8f8bae4 Implement merge accumulators part of CombineGlobally
translation with windowing
discard 4602f83 Output data after combine
discard bba08b4 Implement reduce part of CombineGlobally translation with
windowing
discard 8d05d46 Fix comment about schemas
discard 8a4372d Update KVHelpers.extractKey() to deal with WindowedValue and
update GBK and CPK
discard 8cdd143 Add TODO in Combine translations
discard f86660f Add a test that GBK preserves windowing
discard d0f5806 fixup Enable UsesBoundedSplittableParDo category of tests
Since the default overwrite is already in place and it is breaking only in one
subcase
discard 09e6207 Improve visibility of debug messages
discard c947455 re-enable reduceFnRunner timers for output
discard 89df2bf Re-code GroupByKeyTranslatorBatch to conserve windowing
instead of unwindowing/windowing(GlobalWindow): simplify code, use
ReduceFnRunner to merge the windows
discard 6ba3d1c Add comment about checkpoint mark
discard 982197c Update windowAssignTest
discard 6ae2056 Put back batch/simpleSourceTest.testBoundedSource
discard 728aa1f Consider null object case on RowHelpers, fixes empty side
inputs tests.
discard 1d9155d fixup hadoop-format is not mandataory to run ValidatesRunner
tests
discard be79a86 Enable UsesSchema tests on ValidatesRunner
discard ad22b68 Pass transform based doFnSchemaInformation in ParDo
translation
discard 5cf3e1b fixup Enable UsesFailureMessage category of tests
discard 017497c Fixes ParDo not calling setup and not tearing down if
exception on startBundle
discard d08f110 Limit the number of partitions to make tests go 300% faster
discard 85a9589 Add Batch Validates Runner tests for Structured Streaming
Runner
discard f2f953a Apply Spotless
discard bd06201 Update javadoc
discard f2cac46 implement source.stop
discard 4786cf1 Ignore spark offsets (cf javadoc)
discard 496d660 Use PAssert in Spark Structured Streaming transform tests
discard e542bd3 Rename SparkPipelineResult to
SparkStructuredStreamingPipelineResult This is done to avoid an eventual
collision with the one in SparkRunner. However this cannot happen at this
moment because it is package private, so it is also done for consistency.
discard 1081207 Add SparkStructuredStreamingPipelineOptions and
SparkCommonPipelineOptions - SparkStructuredStreamingPipelineOptions was added
to have the new runner rely only on its specific options.
discard 182f2d9 Fix logging levels in Spark Structured Streaming translation
discard 40f2135 Fix spotless issues after rebase
discard 0262dab Add doFnSchemaInformation to ParDo batch translation
discard e1c8e96 Fix non-vendored imports from Spark Streaming Runner classes
discard 2605bae Remove specific PipelineOotions and Registrar for Structured
Streaming Runner
discard f12ec6b Rename Runner to SparkStructuredStreamingRunner
discard dc756a6 Remove spark-structured-streaming module
discard e76b88b Merge Spark Structured Streaming runner into main Spark module
discard 17aa0f7 Fix access level issues, typos and modernize code to Java 8
style
discard 385f1a6 Disable never ending test SimpleSourceTest.testUnboundedSource
discard ec633d1 Fix spotbogs warnings
discard be0e9c3 Fix invalid code style with spotless
discard 4ba0af3 Deal with checkpoint and offset based read
discard 33b310cc Fllow up on offsets for streaming source
discard 8a0def6 Clean streaming source
discard f1340fd Remove unneeded 0 arg constructor in batch source
discard 482bc7f Clean unneeded 0 arg constructor in batch source
discard b27b982 Specify checkpointLocation at the pipeline start
discard 0204d52 Add source streaming test
discard a0f25eb Add transformators registry in PipelineTranslatorStreaming
discard 24f45d9 Add a TODO on spark output modes
discard 5e857be Start streaming source
discard 2edf26e Add streaming source initialisation
discard cdfffaf And unchecked warning suppression
discard 3a83862 Added TODO comment for ReshuffleTranslatorBatch
discard b0a4272 Added using CachedSideInputReader
discard 303b6a6 Don't use Reshuffle translation
discard 7d87b0a Fix CheckStyle violations
discard 0e1ac77 Added SideInput support
discard 40ab0cb Temporary fix remove fail on warnings
discard 9493bca Fix build wordcount: to squash
discard f7f0da9 Fix javadoc
discard dccf33a Implement WindowAssignTest
discard bbb881a Implement WindowAssignTranslatorBatch
discard fcb2746 Cleaning
discard 056359b [TO UPGRADE WITH THE 2 SPARK RUNNERS BEFORE MERGE] Change de
wordcount build to test on new spark runner
discard a4591c4 Fix encoder bug in combinePerkey
discard c844fda Add explanation about receiving a Row as input in the combiner
discard 32ae8dc Use more generic Row instead of GenericRowWithSchema
discard ae07b1a Fix combine. For unknown reason GenericRowWithSchema is used
as input of combine so extract its content to be able to proceed
discard 06b4632 Update test with Long
discard 7b3dfae Fix various type checking issues in Combine.Globally
discard a936327 Get back to classes in translators resolution because URNs
cannot translate Combine.Globally
discard 42414191 Cleaning
discard d1e7eea Add CombineGlobally translation to avoid translating
Combine.perKey as a composite transform based on Combine.PerKey (which uses low
perf GBK)
discard 86c421b Introduce RowHelpers
discard 8889f71 Add combinePerKey and CombineGlobally tests
discard c829100 Fix combiner using KV as input, use binary encoders in place
of accumulatorEncoder and outputEncoder, use helpers, spotless
discard 9ed9d5b Introduce WindowingHelpers (and helpers package) and use it
in Pardo, GBK and CombinePerKey
discard 11a87c8 Improve type checking of Tuple2 encoder
discard c4e008d First version of combinePerKey
discard b37ac03 Extract binary schema creation in a helper class
discard f361a7e Fix getSideInputs
discard a6e4b37 Generalize the use of SerializablePipelineOptions in place of
(not serializable) PipelineOptions
discard 205f96d Rename SparkDoFnFilterFunction to DoFnFilterFunction for
consistency
discard 8e7fc66 Add a test for the most simple possible Combine
discard 01cfa11 Added "testTwoPardoInRow"
discard 7f22722 Fix for test elements container in GroupByKeyTest
discard 07852b1 Rename SparkOutputManager for consistency
discard c5b4593 Fix kryo issue in GBK translator with a workaround
discard 6abc251 Simplify logic of ParDo translator
discard c9ad8d9 Don't use deprecated sideInput.getWindowingStrategyInternal()
discard e8d6b77 Rename pruneOutput() to pruneOutputFilteredByTag()
discard 112704f Rename SparkSideInputReader class
discard e730fa8 Fixed Javadoc error
discard 7951f7b Apply spotless
discard 67c7d19 Fix Encoders: create an Encoder for every manipulated type to
avoid Spark fallback to genericRowWithSchema and cast to allow having Encoders
with generic types such as WindowedValue<T> and get the type checking back
discard 76fd11c Fail in case of having SideInouts or State/Timers
discard 09a5ba2 Add ComplexSourceTest
discard 8b1b17e Remove no more needed putDatasetRaw
discard 1faf89b Port latest changes of ReadSourceTranslatorBatch to
ReadSourceTranslatorStreaming
discard 720681f Fix type checking with Encoder of WindowedValue<T>
discard 62d4f5d Add comments and TODO to GroupByKeyTranslatorBatch
discard 562ebfa Add GroupByKeyTest
discard 45ef1af Clean
discard 92b991a Address minor review notes
discard e2fca21 Add ParDoTest
discard f896c3b Cleaning
discard c89ac48 Fix split bug
discard eb76dce Remove bundleSize parameter and always use spark default
parallelism
discard f70bb56 Cleaning
discard 5e185b3 Fix testMode output to comply with new binary schema
discard 63053ec Fix errorprone
discard 418c61c Comment schema choices
discard 253e350 Serialize windowedValue to byte[] in source to be able to
specify a binary dataset schema and deserialize windowedValue from Row to get a
dataset<WindowedValue>
discard df5409e First attempt for ParDo primitive implementation
discard 2255618 Add flatten test
discard b3f018d Enable gradle build scan
discard d208890 Enable test mode
discard 59777ba Put all transform translators Serializable
discard 8a4b4af Simplify beam reader creation as it created once the source
as already been partitioned
discard ac00f29 Fix SourceTest
discard 53b9370 Move SourceTest to same package as tested class
discard cc0ab21 Add serialization test
discard fd63639 Fix SerializationDebugger
discard e97b5be Add SerializationDebugger
discard 5835df2 Fix serialization issues
discard ed569f5 Cleaning unneeded fields in DatasetReader
discard fcf47dd improve readability of options passing to the source
discard a83aa58 Fix pipeline triggering: use a spark action instead of
writing the dataset
discard bed6a02 Deactivate deps resolution forcing that prevent using correct
spark transitive dep
discard 79640b0 Refactor SourceTest to a UTest instaed of a main
discard 8096514 Checkstyle and Findbugs
discard 0518568 Clean
discard 92c4cf2 Add empty 0-arg constructor for mock source
discard 6f33718 Add a dummy schema for reader
discard 5da4168 Fix checkstyle
discard a3f5ca1 Use new PipelineOptionsSerializationUtils
discard b048aa7 Apply spotless
discard 90d9426 Add missing 0-arg public constructor
discard fc8d7f4 Wire real SourceTransform and not mock and update the test
discard 2707178 Refactor DatasetSource fields
discard 3c7688f Pass Beam Source and PipelineOptions to the spark DataSource
as serialized strings
discard c9c2b3b Move Source and translator mocks to a mock package.
discard 78db97c Add ReadSourceTranslatorStreaming
discard d56ef09 Cleaning
discard 46c60cd Use raw Encoder<WindowedValue> also in regular
ReadSourceTranslatorBatch
discard c706109 Split batch and streaming sources and translators
discard 37b0a2a Run pipeline in batch mode or in streaming mode
discard f0211b5 Move DatasetSourceMock to proper batch mode
discard 4b40103 clean deps
discard 6724b88 Use raw WindowedValue so that spark Encoders could work
(temporary)
discard 89d910e fix mock, wire mock in translators and create a main test.
discard 590fe0a Add source mocks
discard f3d50d4 Experiment over using spark Catalog to pass in Beam Source
through spark Table
discard 90c92af Improve type enforcement in ReadSourceTranslator
discard 50088ea Improve exception flow
discard 8bdcd4c start source instanciation
discard 2d8db45 Apply spotless
discard 261bb7c update TODO
discard 9e33e38 Implement read transform
discard df0a396 Use Iterators.transform() to return Iterable
discard e5b3b64 Add primitive GroupByKeyTranslatorBatch implementation
discard 9c3b75a Add Flatten transformation translator
discard 356a830 Create Datasets manipulation methods
discard 073cf1e Create PCollections manipulation methods
discard aa1234e Add basic pipeline execution. Refactor translatePipeline() to
return the translationContext on which we can run startPipeline()
discard 27c7fd8 Added SparkRunnerRegistrar
discard e4a334b Add precise TODO for multiple TransformTranslator per
transform URN
discard c084b60 Post-pone batch qualifier in all classes names for readability
discard dce77db Add TODOs
discard 9351397 Make codestyle and firebug happy
discard 22c8338 apply spotless for e-formatting
new af2e92b apply spotless
new 3504543 Make codestyle and firebug happy
new 419211a Add TODOs
new 60bc61b Post-pone batch qualifier in all classes names for readability
new d23f4fd Add precise TODO for multiple TransformTranslator per
transform URN
new 52da1ea Added SparkRunnerRegistrar
new e3ac83a Add basic pipeline execution. Refactor translatePipeline() to
return the translationContext on which we can run startPipeline()
new 7d7dcc6 Create PCollections manipulation methods
new 6ff5192 Create Datasets manipulation methods
new b045f0d Add Flatten transformation translator
new 3491edf Add primitive GroupByKeyTranslatorBatch implementation
new 6a9021d Use Iterators.transform() to return Iterable
new dfcfa6a Implement read transform
new 039976a update TODO
new 4b55ed6 Apply spotless
new 9b3a72e start source instanciation
new aec130e Improve exception flow
new 6cfdf31 Improve type enforcement in ReadSourceTranslator
new bc6b4e6 Experiment over using spark Catalog to pass in Beam Source
through spark Table
new 8a0343a Add source mocks
new f99d1d1 fix mock, wire mock in translators and create a main test.
new b5cc52a Use raw WindowedValue so that spark Encoders could work
(temporary)
new 80b91bd clean deps
new a0243bf Move DatasetSourceMock to proper batch mode
new 0b9875f Run pipeline in batch mode or in streaming mode
new 772efc4 Split batch and streaming sources and translators
new 98d6e1e Use raw Encoder<WindowedValue> also in regular
ReadSourceTranslatorBatch
new 2dca3c2 Clean
new 5559890 Add ReadSourceTranslatorStreaming
new 8bfa1a5 Move Source and translator mocks to a mock package.
new a96039e Pass Beam Source and PipelineOptions to the spark DataSource
as serialized strings
new 0c64b46 Refactor DatasetSource fields
new 84f1963 Wire real SourceTransform and not mock and update the test
new af3dfad Add missing 0-arg public constructor
new c38d1d2 Use new PipelineOptionsSerializationUtils
new 73d8c71 Apply spotless and fix checkstyle
new 0bdbf93 Add a dummy schema for reader
new 2bc0d23 Add empty 0-arg constructor for mock source
new b9acd02 Clean
new ab70e9e Checkstyle and Findbugs
new 4f6d5b9 Refactor SourceTest to a UTest instaed of a main
new 6173a33 Deactivate deps resolution forcing that prevent using correct
spark transitive dep
new 38b1514 Fix pipeline triggering: use a spark action instead of
writing the dataset
new 3b868db improve readability of options passing to the source
new 0cfde2b Clean unneeded fields in DatasetReader
new ec13b5b Fix serialization issues
new 8ba03d6f Add SerializationDebugger
new 4d18207 Add serialization test
new 155a65b Move SourceTest to same package as tested class
new b6a6912 Fix SourceTest
new b39024a Simplify beam reader creation as it created once the source
as already been partitioned
new 33754a8 Put all transform translators Serializable
new 7c4ff5c Enable test mode
new 21c426e Enable gradle build scan
new 5067ca1 Add flatten test
new 000381c First attempt for ParDo primitive implementation
new d9d424f Serialize windowedValue to byte[] in source to be able to
specify a binary dataset schema and deserialize windowedValue from Row to get a
dataset<WindowedValue>
new 80aa7ea Comment schema choices
new 355fa9e Fix errorprone
new 152d858 Fix testMode output to comply with new binary schema
new 53ddaa0 Cleaning
new 6b87e80 Remove bundleSize parameter and always use spark default
parallelism
new bab98f1 Fix split bug
new afc53ee Clean
new 32bf4da Add ParDoTest
new cd58952 Address minor review notes
new 8e999c9 Clean
new df89095 Add GroupByKeyTest
new 6eb2ff1 Add comments and TODO to GroupByKeyTranslatorBatch
new 55a6419 Fix type checking with Encoder of WindowedValue<T>
new 4f55612 Port latest changes of ReadSourceTranslatorBatch to
ReadSourceTranslatorStreaming
new e4948df Remove no more needed putDatasetRaw
new d3c6e42 Add ComplexSourceTest
new 24a0f7d Fail in case of having SideInouts or State/Timers
new fe00df0 Fix Encoders: create an Encoder for every manipulated type to
avoid Spark fallback to genericRowWithSchema and cast to allow having Encoders
with generic types such as WindowedValue<T> and get the type checking back
new 6efe901 Apply spotless
new 8407488 Fixed Javadoc error
new 1f6c3b7 Rename SparkSideInputReader class and rename pruneOutput() to
pruneOutputFilteredByTag()
new c8cefc8 Don't use deprecated sideInput.getWindowingStrategyInternal()
new 72bf4d3 Simplify logic of ParDo translator
new 106e54e Fix kryo issue in GBK translator with a workaround
new 8ede26e Rename SparkOutputManager for consistency
new 2b32d52 Fix for test elements container in GroupByKeyTest
new d7104ee Added "testTwoPardoInRow"
new 3bbb0d1 Add a test for the most simple possible Combine
new a33477f Rename SparkDoFnFilterFunction to DoFnFilterFunction for
consistency
new 28d0be3 Generalize the use of SerializablePipelineOptions in place of
(not serializable) PipelineOptions
new 05a1a11 Fix getSideInputs
new c7256da Extract binary schema creation in a helper class
new d1bafd1 First version of combinePerKey
new 9407138 Improve type checking of Tuple2 encoder
new 6da1c02 Introduce WindowingHelpers (and helpers package) and use it
in Pardo, GBK and CombinePerKey
new 9b3c604 Fix combiner using KV as input, use binary encoders in place
of accumulatorEncoder and outputEncoder, use helpers, spotless
new 11f6322 Add combinePerKey and CombineGlobally tests
new 7629b22 Introduce RowHelpers
new 0c48a94 Add CombineGlobally translation to avoid translating
Combine.perKey as a composite transform based on Combine.PerKey (which uses low
perf GBK)
new b390509 Cleaning
new 571b3e9 Get back to classes in translators resolution because URNs
cannot translate Combine.Globally
new 3ede119 Fix various type checking issues in Combine.Globally
new ac7f271 Update test with Long
new c453b90 Fix combine. For unknown reason GenericRowWithSchema is used
as input of combine so extract its content to be able to proceed
new 5d86507 Use more generic Row instead of GenericRowWithSchema
new 0bd6370 Add explanation about receiving a Row as input in the combiner
new 2a8d92e Fix encoder bug in combinePerkey
new 976783c [TO UPGRADE WITH THE 2 SPARK RUNNERS BEFORE MERGE] Change de
wordcount build to test on new spark runner
new e712187 Cleaning
new dafe5c4 Implement WindowAssignTranslatorBatch
new 07bceca Implement WindowAssignTest
new f7f3b54 Fix javadoc
new 8e029bd Fix build wordcount:disable deps versions forcing, remove
fail on warnings
new 2128544 Added SideInput support
new d705c22 Fix CheckStyle violations
new d629b1c Don't use Reshuffle translation
new 519c9b2 Added using CachedSideInputReader
new 9ff127d Added TODO comment for ReshuffleTranslatorBatch
new 8bd0f66 And unchecked warning suppression
new cb261f2 Add streaming source initialisation
new 9803c07 Implement first streaming source
new 10fac36 Add a TODO on spark output modes
new c46ce22 Add transformators registry in PipelineTranslatorStreaming
new a14698f Add source streaming test
new e0ecd02 Specify checkpointLocation at the pipeline start
new 4ef8635 Clean unneeded 0 arg constructor in batch source
new b9af1b5 Clean streaming source
new 559e80f Continue impl of offsets for streaming source
new 1bc4d75 Deal with checkpoint and offset based read
new 85635ff Apply spotless and fix spotbugs warnings
new df02413 Disable never ending test SimpleSourceTest.testUnboundedSource
new 51630e2 Fix access level issues, typos and modernize code to Java 8
style
new 07b01b1 Merge Spark Structured Streaming runner into main Spark
module. Remove spark-structured-streaming module.Rename Runner to
SparkStructuredStreamingRunner. Remove specific PipelineOotions and Registrar
for Structured Streaming Runner
new f36c3b8 Fix non-vendored imports from Spark Streaming Runner classes
new 8602eaa Pass doFnSchemaInformation to ParDo batch translation
new 1d48ae5 Fix spotless issues after rebase
new 45781a8 Fix logging levels in Spark Structured Streaming translation
new 4f0e0e6 Add SparkStructuredStreamingPipelineOptions and
SparkCommonPipelineOptions - SparkStructuredStreamingPipelineOptions was added
to have the new runner rely only on its specific options.
new 9d6caa1 Rename SparkPipelineResult to
SparkStructuredStreamingPipelineResult This is done to avoid an eventual
collision with the one in SparkRunner. However this cannot happen at this
moment because it is package private, so it is also done for consistency.
new 4b568da Use PAssert in Spark Structured Streaming transform tests
new e04d455 Ignore spark offsets (cf javadoc)
new 82ed0fc implement source.stop
new a75e88a Update javadoc
new 72f18c7 Apply Spotless
new a9bdab6 Add Batch Validates Runner tests for Structured Streaming
Runner
new 20d5a68 Limit the number of partitions to make tests go 300% faster
new d551903 Fixes ParDo not calling setup and not tearing down if
exception on startBundle
new 785c0d9 fixup Enable UsesFailureMessage and UsesSchema categories on
validatesRunner tests
new e2eb99a Pass transform based doFnSchemaInformation in ParDo
translation
new b0f9afd fixup hadoop-format is not mandataory to run ValidatesRunner
tests
new a5ca4df Consider null object case on RowHelpers, fixes empty side
inputs tests.
new 8ee2e60 Put back batch/simpleSourceTest.testBoundedSource
new f0c415c Update windowAssignTest
new ff937d9 Add comment about checkpoint mark
new d2cebcc Re-code GroupByKeyTranslatorBatch to conserve windowing
instead of unwindowing/windowing(GlobalWindow): simplify code, use
ReduceFnRunner to merge the windows
new 32756ef re-enable reduceFnRunner timers for output
new 4d75434 Improve visibility of debug messages
new 8dad2a7 fixup Enable UsesBoundedSplittableParDo category of tests
Since the default overwrite is already in place and it is breaking only in one
subcase
new 0c30d20 Add a test that GBK preserves windowing
new 2c16deb Add TODO in Combine translations
new 6a6b959 Update KVHelpers.extractKey() to deal with WindowedValue and
update GBK and CPK
new 50dac73 Fix comment about schemas
new dea9155 Implement reduce part of CombineGlobally translation with
windowing
new 49293d7 Output data after combine
new a269fa26 Implement merge accumulators part of CombineGlobally
translation with windowing
new c4e3f44 Fix encoder in combine call
new f4f186b Revert extractKey while combinePerKey is not done (so that it
compiles)
new a210466 Apply a groupByKey avoids for some reason that the spark
structured streaming fmwk casts data to Row which makes it impossible to
deserialize without the coder shipped into the data. For performance reasons
(avoid memory consumption and having to deserialize), we do not ship coder +
data. Also add a mapparitions before GBK to avoid shuffling
new ac06721 Fix case when a window does not merge into any other window
new 5a5ca48 Fix wrong encoder in combineGlobally GBK
new aa5543f Fix bug in the window merging logic
new d869c50 Remove the mapPartition that adds a key per partition because
otherwise spark will reduce values per key instead of globally
new 8569c9d Remove CombineGlobally translation because it is less
performant than the beam sdk one (key + combinePerKey.withHotkeyFanout)
new 1c28c63 Now that there is only Combine.PerKey translation, make only
one Aggregator
new 930974f Clean no more needed KVHelpers
new a0cd463 Clean not more needed RowHelpers
new 319f4c9 Clean not more needed WindowingHelpers
new 4110d8f Fix javadoc of AggregatorCombiner
new 19779af Fixed immutable list bug
new 41a2027 add comment in combine globally test
new 418df85 Clean groupByKeyTest
new 996a296 Add a test that combine per key preserves windowing
new 7803025 Ignore for now not working test testCombineGlobally
new d5f322b Add metrics support in DoFn
new 7356ec2 Add missing dependencies to run Spark Structured Streaming
Runner on Nexmark
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