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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/01/10 21:49:01 UTC
Build failed in Jenkins:
beam_BiqQueryIO_Streaming_Performance_Test_Java #378
See <https://builds.apache.org/job/beam_BiqQueryIO_Streaming_Performance_Test_Java/378/display/redirect>
Changes:
------------------------------------------
[...truncated 277.23 KB...]
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2154)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2044)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
at org.apache.beam.runners.dataflow.worker.util.common.worker.CachingShuffleBatchReader.read(CachingShuffleBatchReader.java:101)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:125)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntriesIfNeeded(BatchingShuffleEntryReader.java:119)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.hasNext(BatchingShuffleEntryReader.java:84)
at org.apache.beam.runners.dataflow.worker.util.common.ForwardingReiterator.hasNext(ForwardingReiterator.java:63)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.advance(GroupingShuffleEntryIterator.java:271)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.hasNext(GroupingShuffleEntryIterator.java:263)
at org.apache.beam.runners.dataflow.worker.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.hasNext(GroupingShuffleReader.java:397)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:120)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:114)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
at org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
at org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:411)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:380)
Jan 10, 2020 9:17:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2020-01-10T21:17:40.501Z: Checking permissions granted to controller Service Account.
Jan 10, 2020 9:23:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2020-01-10T21:23:40.490Z: Checking permissions granted to controller Service Account.
Jan 10, 2020 9:28:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2020-01-10T21:28:24.838Z: An OutOfMemoryException occurred. Consider specifying higher memory instances in PipelineOptions.
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOfRange(Arrays.java:3664)
at java.lang.String.<init>(String.java:207)
at com.fasterxml.jackson.core.util.TextBuffer.contentsAsString(TextBuffer.java:385)
at com.fasterxml.jackson.core.json.ReaderBasedJsonParser.getText(ReaderBasedJsonParser.java:280)
at com.fasterxml.jackson.databind.deser.std.UntypedObjectDeserializer$Vanilla.deserialize(UntypedObjectDeserializer.java:672)
at com.fasterxml.jackson.databind.deser.std.MapDeserializer._readAndBindStringKeyMap(MapDeserializer.java:527)
at com.fasterxml.jackson.databind.deser.std.MapDeserializer.deserialize(MapDeserializer.java:364)
at com.fasterxml.jackson.databind.deser.std.MapDeserializer.deserialize(MapDeserializer.java:29)
at com.fasterxml.jackson.databind.ObjectMapper._readMapAndClose(ObjectMapper.java:4014)
at com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:3005)
at org.apache.beam.sdk.io.gcp.bigquery.TableRowJsonCoder.decode(TableRowJsonCoder.java:57)
at org.apache.beam.sdk.io.gcp.bigquery.TableRowJsonCoder.decode(TableRowJsonCoder.java:51)
at org.apache.beam.sdk.io.gcp.bigquery.TableRowJsonCoder.decode(TableRowJsonCoder.java:32)
at org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:64)
at org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:30)
at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:602)
at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:539)
at org.apache.beam.sdk.util.CoderUtils.decodeFromSafeStream(CoderUtils.java:115)
at org.apache.beam.sdk.util.CoderUtils.decodeFromByteArray(CoderUtils.java:98)
at org.apache.beam.sdk.util.CoderUtils.decodeFromByteArray(CoderUtils.java:92)
at org.apache.beam.runners.dataflow.worker.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.next(GroupingShuffleReader.java:427)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:120)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:114)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
at org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
at org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:411)
Jan 10, 2020 9:29:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2020-01-10T21:29:40.490Z: Checking permissions granted to controller Service Account.
Jan 10, 2020 9:35:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2020-01-10T21:35:40.490Z: Checking permissions granted to controller Service Account.
Jan 10, 2020 9:36:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2020-01-10T21:36:25.810Z: An OutOfMemoryException occurred. Consider specifying higher memory instances in PipelineOptions.
java.lang.RuntimeException: org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: Java heap space
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:132)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntriesIfNeeded(BatchingShuffleEntryReader.java:119)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.hasNext(BatchingShuffleEntryReader.java:84)
at org.apache.beam.runners.dataflow.worker.util.common.ForwardingReiterator.hasNext(ForwardingReiterator.java:63)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.advance(GroupingShuffleEntryIterator.java:271)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.hasNext(GroupingShuffleEntryIterator.java:263)
at org.apache.beam.runners.dataflow.worker.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.hasNext(GroupingShuffleReader.java:397)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:120)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:114)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
at org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
at org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:411)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:380)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:305)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: Java heap space
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2048)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
at org.apache.beam.runners.dataflow.worker.util.common.worker.CachingShuffleBatchReader.read(CachingShuffleBatchReader.java:101)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:125)
... 26 more
Caused by: java.lang.OutOfMemoryError: Java heap space
at org.apache.beam.runners.dataflow.worker.ChunkingShuffleBatchReader.getFixedLengthPrefixedByteArray(ChunkingShuffleBatchReader.java:102)
at org.apache.beam.runners.dataflow.worker.ChunkingShuffleBatchReader.getShuffleEntry(ChunkingShuffleBatchReader.java:86)
at org.apache.beam.runners.dataflow.worker.ChunkingShuffleBatchReader.read(ChunkingShuffleBatchReader.java:64)
at org.apache.beam.runners.dataflow.worker.util.common.worker.CachingShuffleBatchReader$1.load(CachingShuffleBatchReader.java:70)
at org.apache.beam.runners.dataflow.worker.util.common.worker.CachingShuffleBatchReader$1.load(CachingShuffleBatchReader.java:66)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3528)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2277)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2154)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2044)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
at org.apache.beam.runners.dataflow.worker.util.common.worker.CachingShuffleBatchReader.read(CachingShuffleBatchReader.java:101)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:125)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntriesIfNeeded(BatchingShuffleEntryReader.java:119)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.hasNext(BatchingShuffleEntryReader.java:84)
at org.apache.beam.runners.dataflow.worker.util.common.ForwardingReiterator.hasNext(ForwardingReiterator.java:63)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.advance(GroupingShuffleEntryIterator.java:271)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.hasNext(GroupingShuffleEntryIterator.java:263)
at org.apache.beam.runners.dataflow.worker.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.hasNext(GroupingShuffleReader.java:397)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:120)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:114)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
at org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
at org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:411)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:380)
Jan 10, 2020 9:41:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2020-01-10T21:41:40.492Z: Checking permissions granted to controller Service Account.
Jan 10, 2020 9:45:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2020-01-10T21:45:21.523Z: An OutOfMemoryException occurred. Consider specifying higher memory instances in PipelineOptions.
java.lang.RuntimeException: org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: Java heap space
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:132)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntriesIfNeeded(BatchingShuffleEntryReader.java:119)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.hasNext(BatchingShuffleEntryReader.java:84)
at org.apache.beam.runners.dataflow.worker.util.common.ForwardingReiterator.hasNext(ForwardingReiterator.java:63)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.advance(GroupingShuffleEntryIterator.java:271)
at org.apache.beam.runners.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.hasNext(GroupingShuffleEntryIterator.java:263)
at org.apache.beam.runners.dataflow.worker.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.hasNext(GroupingShuffleReader.java:397)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
at org.apache.beam.runners.dataflow.worker.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:120)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
at org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:114)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
at org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
at org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
at org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:411)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:380)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:305)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: Java heap space
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2048)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
at org.apache.beam.runners.dataflow.worker.util.common.worker.CachingShuffleBatchReader.read(CachingShuffleBatchReader.java:101)
at org.apache.beam.runners.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:125)
... 26 more
Caused by: java.lang.OutOfMemoryError: Java heap space
Jan 10, 2020 9:47:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2020-01-10T21:47:40.539Z: Checking permissions granted to controller Service Account.
FATAL: command execution failed
hudson.remoting.ChannelClosedException: Channel "unknown": Remote call on JNLP4-connect connection from 6.156.202.35.bc.googleusercontent.com/35.202.156.6:44804 failed. The channel is closing down or has closed down
at hudson.remoting.Channel.call(Channel.java:950)
at hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:283)
at com.sun.proxy.$Proxy141.isAlive(Unknown Source)
at hudson.Launcher$RemoteLauncher$ProcImpl.isAlive(Launcher.java:1150)
at hudson.Launcher$RemoteLauncher$ProcImpl.join(Launcher.java:1142)
at hudson.Launcher$ProcStarter.join(Launcher.java:470)
at hudson.plugins.gradle.Gradle.perform(Gradle.java:317)
at hudson.tasks.BuildStepMonitor$1.perform(BuildStepMonitor.java:20)
at hudson.model.AbstractBuild$AbstractBuildExecution.perform(AbstractBuild.java:741)
at hudson.model.Build$BuildExecution.build(Build.java:206)
at hudson.model.Build$BuildExecution.doRun(Build.java:163)
at hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:504)
at hudson.model.Run.execute(Run.java:1815)
at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:43)
at hudson.model.ResourceController.execute(ResourceController.java:97)
at hudson.model.Executor.run(Executor.java:429)
Caused by: java.io.IOException
at hudson.remoting.Channel.close(Channel.java:1428)
at hudson.remoting.Channel.close(Channel.java:1405)
at hudson.slaves.SlaveComputer.closeChannel(SlaveComputer.java:847)
at hudson.slaves.SlaveComputer.kill(SlaveComputer.java:814)
at hudson.model.AbstractCIBase.killComputer(AbstractCIBase.java:89)
at jenkins.model.Jenkins.access$2100(Jenkins.java:312)
at jenkins.model.Jenkins$19.run(Jenkins.java:3464)
at hudson.model.Queue._withLock(Queue.java:1379)
at hudson.model.Queue.withLock(Queue.java:1256)
at jenkins.model.Jenkins._cleanUpDisconnectComputers(Jenkins.java:3458)
at jenkins.model.Jenkins.cleanUp(Jenkins.java:3336)
at hudson.WebAppMain.contextDestroyed(WebAppMain.java:379)
at org.apache.catalina.core.StandardContext.listenerStop(StandardContext.java:4732)
at org.apache.catalina.core.StandardContext.stopInternal(StandardContext.java:5396)
at org.apache.catalina.util.LifecycleBase.stop(LifecycleBase.java:257)
at org.apache.catalina.core.ContainerBase$StopChild.call(ContainerBase.java:1400)
at org.apache.catalina.core.ContainerBase$StopChild.call(ContainerBase.java:1389)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.tomcat.util.threads.InlineExecutorService.execute(InlineExecutorService.java:75)
at java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:134)
at org.apache.catalina.core.ContainerBase.stopInternal(ContainerBase.java:976)
at org.apache.catalina.util.LifecycleBase.stop(LifecycleBase.java:257)
at org.apache.catalina.core.ContainerBase$StopChild.call(ContainerBase.java:1400)
at org.apache.catalina.core.ContainerBase$StopChild.call(ContainerBase.java:1389)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.tomcat.util.threads.InlineExecutorService.execute(InlineExecutorService.java:75)
at java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:134)
at org.apache.catalina.core.ContainerBase.stopInternal(ContainerBase.java:976)
at org.apache.catalina.util.LifecycleBase.stop(LifecycleBase.java:257)
at org.apache.catalina.core.StandardService.stopInternal(StandardService.java:473)
at org.apache.catalina.util.LifecycleBase.stop(LifecycleBase.java:257)
at org.apache.catalina.core.StandardServer.stopInternal(StandardServer.java:994)
at org.apache.catalina.util.LifecycleBase.stop(LifecycleBase.java:257)
at org.apache.catalina.startup.Catalina.stop(Catalina.java:706)
at org.apache.catalina.startup.Catalina.start(Catalina.java:668)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.catalina.startup.Bootstrap.start(Bootstrap.java:344)
at org.apache.catalina.startup.Bootstrap.main(Bootstrap.java:475)
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
ERROR: apache-beam-jenkins-4 is offline; cannot locate JDK 1.8 (latest)
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beam_BiqQueryIO_Streaming_Performance_Test_Java #379
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