[BEAM-372] added a test that verifies if a coder consumes bytes equal to
encoded bytes
This closes #695
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minor javadoc fixes
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minor javadoc fixes
This closes #698
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[BEAM-124] WordCountIT: Add outputs verification
This closes #611
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[BEAM-124] WordCountIT: Add outputs verification
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Clean up Aggregator javadoc
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Clean up Aggregator javadoc
This closes #675
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[BEAM-462] Fix archetype project to use logging handler.
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[BEAM-462] Fix reference to old PrintHandler in archetypes project
This closes #677
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[BEAM-465] OutgoingMessageCoder should be an AtomicCoder
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[BEAM-465] OutgoingMessageCoder should be an AtomicCoder
This closes #674
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Di
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[BEAM-462] Replace MonitoringUtil.PrintHandler with a handler that utilizes a
Java logger
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[BEAM-462] Replace MonitoringUtil.PrintHandler with a handler that utilizes a
Java logger
This closes #673
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Upgrade to Avro 1.8.1
This version has some important fixes for potential memory leaks.
(It does not have a fix for [AVRO-607] yet, but still has good fixes.)
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[BEAM-457] Upgrade to Avro 1.8.1
This closes #664
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Archetype generated projects shouldn't have SNAPSHOT version
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[BEAM-339] Archetype project version shouldn't be coupled to Beam version
This closes #654
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[BEAM-446] Fix checkstyle error: remove unused import
This closes #647
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Fix checkstyle error: remove unused import
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[BEAM-446] Improve IOChannelUtils.resolve to accept multiple paths
This closes #646
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fix javadoc issue
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remove old method and fix javadoc
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[BEAM-446] Improve IOChannelUtils.resolve to accept multiple paths
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API cleanup: Remove getDataflowClient() from DataflowPipelineJob
This closes #637
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Remove getDataflowClient() from DataflowPipelineJob
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[BEAM-77] Move datastore into GCP IO package
This closes #584
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--
Clean up duplicate dependencies in runners core java pom
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Move Datastore from sdks/java/core to io/gcp
* Remove DataflowDatastoreIOTest. Dataflow runner translation of display
data should be tested via code in the same module.
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Add io-gcp to top-level pom dependency management
So its version is inherited everywhere that depends on it
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Uses ThreadLocalRandom.current to generate a random hashCode
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Removes extra blank space
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[BEAM-408] - Fixes ProxyInvocationHandler uses inefficient Math.random() for
random int
This closes #588
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[BEAM-408] - Fixes ProxyInvocationHandler uses inefficient Math.random() for
random int
For more information: https://issues.apache.org/jira/browse/BEAM-408
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AvroSource: use a 64K buffer size for Snappy codec
commons-compress defaults to a 32K buffer size for Snappy.
However, Avro uses xerial.snappy to write, which has a 64K buffer size.
When the buffer size is t
[BEAM-422] AvroSource: use a 64K buffer size for Snappy codec
This closes #583
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Add direct runner package-info
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Make WindowedValue like an interface, allow external implementations
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Enable dependency-plugin at global level
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Fix timestamps in GroupAlsoByWindowsProperties
Some of the timestamps were not adjusted when
BEAM-145 was fixed to respect the WindowFn's
timestamps.
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Add Surefire Max Heap Size argument
Remove Travis Maven overrides. Fork in Travis CI.
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Add StaticWindows
This is a windowFn that ignores the input and always assigns to the same
input. It returns the provided window as the side input window if and
only if that window is present within its set of windows.
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Use only WindowFn in TriggerTester
This change is preparatory for separating trigger syntax
from implementation.
Previously, the whole WindowingStrategy was passed in, but
not used. Since the tester is really a test of the state
machine, it will be moved to runners-core alongside the trigger
impl
DisplayDataEvaluator: Add support for source transforms
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Move remnants of Dataflow runner from SDK to its module
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Remove TriggerBuilder backwards-compatibility adapter
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[BEAM-392] Rename missing references to FlinkPipelineRunner
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Replace PubsubIO and injector with TextIO in traffic examples
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Increase the MESSAGES_POLLING_ATTEMPTS for slow backend starts
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DatastoreIO: add Read/Write Transforms and version-specific class
* Also move DatastoreIO to io.datastore package
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Add initial microbenchmarks directory
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Make examples only have optional runtime deps on runners
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Use GatherAllPanes in PAssert
Instead of explicitly grouping by key, gather all the panes across the
input window.
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--
diff --git
a/runners/spark/src/main/java/org/apache/beam/runners/spark/io/had
Write: add support for setting a fixed number of shards
And remove special support in Dataflow and Direct runners for it.
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Update to bigtable-client-core-0.3.0 and use bulk writes
Generally more stable, plus bulk writes bring 5x write throughput in
batch jobs by more efficiently using the network.
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Replace PubsubIO and injector with TextIO in beam-examples
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[BEAM-142] - BigQueryIO: don't unnecessarily initialize an ExecutorService to
validate parameters
By default, BigQueryIO initializes a ExecutorContext, however AppEngine
doesn't allow modification of threads to be daemon
threads. Using GcsOptions.ExecutorContext to create the
executorContext.
P
Update Checkpoint Documentation
Checkpoint finalization is best effort. A checkpoint that is committed
to durable state is permitted to be reused to start a reader, regardless
of if it is finalized.
Note that checkpoints which have an affect on their source (via
finalize) should generally require
http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/d1e38443/sdks/java/core/src/test/java/org/apache/beam/sdk/io/DatastoreIOTest.java
--
diff --git
a/sdks/java/core/src/test/java/org/apache/beam/sdk/io/DatastoreIOTest.java
[BEAM-392] Update flink dependency to the most recent stable version
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Add FindBugs analysis to the build
FindBugs is a static analysis tool which looks for common
coding issues in Java code. See: http://findbugs.sourceforge.net/
This commit integrates FindBugs into the build process using
findbugs-maven-plugin, and subscribes java-sdk-all for analysis.
The codebas
Static import Preconditions.checkX everywhere
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Replacing BigQuery direct calls with BigQueryServices abstraction
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Several improvements to HDFS/Hadoop interoperability
* handle NullWritable in WritableCoder
* update Function handling in HDFSFileSource#splitIntoBundles
* add AvroHDFSFileSource
* add HDFSFileSink
* add SimpleAuth HDFS IO
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Commi
Remove many uses of .named methods
Specifically, remove uses of:
- Window.named
- AvroIO.named
- PubSubIO.named
- TextIO.named
- BigQueryIO.named
- Read.named
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Merge master into runners-spark2 branch to keep up-to-date
This closes #585
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Update test for GatherAllPanes
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Added integration tests for BigtableRead and BigtableWrite
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Copy and use UnboundedReadFromBoundedSource in dataflow runner
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KafkaIO tests : change category annotation from RunnableOnService to NeedsRunner
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Deprecate WindowedValue.valueInEmptyWindows
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Remove many definitions of named methods
Specifically, remove the occurrences in:
- Window
- AvroIO
- PubsubIO
- TextIO
- BigQueryIO
- Read
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http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/8b8615ea/sdks/java/core/src/main/java/org/apache/beam/sdk/util/InstanceBuilder.java
--
diff --git
a/sdks/java/core/src/main/java/org/apache/beam/sdk/util/InstanceBuilder.j
[BEAM-377] Validate BigQueryIO.Read is properly configured
Previously, using withoutValidation would disable all validation,
leading to a NullPointerException if there wasn't a table or schema
provided.
The intention of the withoutValidation parameter is to bypass more
expensive (and possibly inc
Move some more easy stuff to runners-core
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Fix missing Override Annotations in the DirectRunner
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Added getSplitPointsConsumed() to ByteKeyRangeTracker
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pom.xml: upgrade to dataflow version v1b3-rev30-1.22.0
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[BEAM-390] Update spark dependency to the most recent stable version
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Make PTransform.apply Abstract
Primitive PTransforms should create the appropriate primitive output
type. Composite PTransforms should override apply.
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Implement getSplitPointsConsumed() in BigtableIO
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Fix NPE in UnboundedReadFromBoundedSource
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Explicitly set UseDummyRunner in IO, Extensions
This mitigates test failures due to forkCount=0 in travis.
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Disable integration tests in parent pom
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Key with integers in GatherAllPanes
Ensures that runners which do not support null values can handle
GatherAllPanes.
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[BEAM-397] - Fixes Format string - it should use %n instead of \n
This closes #589
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[BEAM-397] - Fixes Format string - it should use %n instead of \n
It fixes format string on Coder.NonDeterministicExeption.getMessage.
For more information: https://issues.apache.org/jira/browse/BEAM-397
[BEAM-405] Fixes inefficient use of keySet iterator instead of entrySet iterator
This closes #587
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[BEAM-405] Fixes inefficient use of keySet iterator instead of entrySet
iterator.
BiggQueryIO$StreamingWriteFn.finishBundle: Fixes inefficient use of keySet
iterator instead of entrySet iterator.
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[BEAM-142] - BigQueryIO: dont unnecessarily initialize an ExecutorService to
validate parameters
This closes #526.
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[BEAM-142] - BigQueryIO: don't unnecessarily initialize an ExecutorService to
validate parameters
By default, BigQueryIO initializes a ExecutorContext, however AppEngine
doesn't allow modification of threads
Move remnants of Dataflow runner from SDK to its module
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[BEAM-362] Move some more easy stuff from SDK to appropriate modules
This closes #525.
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Move some more easy stuff to runners-core
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[BEAM-327] Add configuration for Dataflow runner System.out/err
This closes #426.
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Add configuration for Dataflow runner System.out/err
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Port cleanupDaemonThreads fix to archetype module
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[BEAM-330] Port cleanupDaemonThreads fix to archetype module
This closes #444.
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[BEAM-330] Disable exec-maven-plugin cleanupDaemonThreads
This closes #439
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