Question

我们正在使用Google云数据流创建数据缓存，以便快速处理我们的网络请求。数据集以及它如何组合在一起略微超出了我们的控制范围，因此我们正在做一些非常不正统的事情。无论如何，我们每隔一段时间就会收到这个错误，但这项工作有时会继续运行并取得成功。作业ID：2017-12-19_22_30_10-4314752451342817881

java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException: java.lang.RuntimeException: unexpected
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:182)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:104)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn.processElement(BatchGroupAlsoByWindowViaIteratorsFn.java:121)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn.processElement(BatchGroupAlsoByWindowViaIteratorsFn.java:53)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:117)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:74)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:113)
 at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:48)
 at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
 at com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:187)
 at com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:148)
 at com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:68)
 at com.google.cloud.dataflow.worker.DataflowWorker.executeWork(DataflowWorker.java:330)
 at com.google.cloud.dataflow.worker.DataflowWorker.doWork(DataflowWorker.java:302)
 at com.google.cloud.dataflow.worker.DataflowWorker.getAndPerformWork(DataflowWorker.java:251)
 at com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:135)
 at com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:115)
 at com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:102)
 at java.util.concurrent.FutureTask.run(FutureTask.java:266)
 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
 at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.beam.sdk.util.UserCodeException: java.lang.RuntimeException: unexpected
 at org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:36)
 at com.monsanto.product360.beam.dataflow.materialviews.groupers.CabnAuspGrouper$DoFnInvoker.invokeProcessElement(Unknown Source)
 at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
 at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:141)
 at com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:324)
 at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:48)
 at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
 at com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:272)
 at org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:211)
 at org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:66)
 at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:436)
 at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:424)
 at org.apache.beam.sdk.transforms.join.CoGroupByKey$ConstructCoGbkResultFn.processElement(CoGroupByKey.java:206)
 at org.apache.beam.sdk.transforms.join.CoGroupByKey$ConstructCoGbkResultFn$DoFnInvoker.invokeProcessElement(Unknown Source)
 at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
 at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:141)
 at com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:324)
 at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:48)
 at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:180)
 ... 21 more
Caused by: java.lang.RuntimeException: unexpected
 at com.google.cloud.dataflow.worker.util.common.worker.CachingShuffleBatchReader.read(CachingShuffleBatchReader.java:79)
 at com.google.cloud.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:133)
 at com.google.cloud.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntriesIfNeeded(BatchingShuffleEntryReader.java:126)
 at com.google.cloud.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.hasNext(BatchingShuffleEntryReader.java:90)
 at com.google.cloud.dataflow.worker.util.common.ForwardingReiterator.hasNext(ForwardingReiterator.java:62)
 at com.google.cloud.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.advance(GroupingShuffleEntryIterator.java:283)
 at com.google.cloud.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.hasNext(GroupingShuffleEntryIterator.java:278)
 at com.google.cloud.dataflow.worker.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.hasNext(GroupingShuffleReader.java:357)
 at org.apache.beam.runners.core.PeekingReiterator.computeNext(PeekingReiterator.java:94)
 at org.apache.beam.runners.core.PeekingReiterator.hasNext(PeekingReiterator.java:48)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn$WindowReiterator.skipToValidElement(BatchGroupAlsoByWindowViaIteratorsFn.java:226)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn$WindowReiterator.hasNext(BatchGroupAlsoByWindowViaIteratorsFn.java:202)
 at org.apache.beam.sdk.repackaged.com.google.common.collect.Iterators$PeekingImpl.hasNext(Iterators.java:1105)
 at org.apache.beam.sdk.transforms.join.CoGbkResult$UnionValueIterator.advance(CoGbkResult.java:430)
 at org.apache.beam.sdk.transforms.join.CoGbkResult$UnionValueIterator.hasNext(CoGbkResult.java:407)
 at org.apache.beam.sdk.repackaged.com.google.common.collect.MultitransformedIterator.hasNext(MultitransformedIterator.java:47)
 at com.monsanto.product360.beam.dataflow.materialviews.groupers.CabnAuspGrouper.processElement(CabnAuspGrouper.java:35)
Caused by: java.util.concurrent.ExecutionException: java.io.IOException: INTERNAL: GOAWAY received
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.util.concurrent.AbstractFuture.getDoneValue(AbstractFuture.java:500)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:459)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.util.concurrent.AbstractFuture$TrustedFuture.get(AbstractFuture.java:76)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:142)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2373)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2337)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2295)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2208)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache.get(LocalCache.java:4053)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:4057)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4986)
 at com.google.cloud.dataflow.worker.util.common.worker.CachingShuffleBatchReader.read(CachingShuffleBatchReader.java:76)
 at com.google.cloud.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntries(BatchingShuffleEntryReader.java:133)
 at com.google.cloud.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.fillEntriesIfNeeded(BatchingShuffleEntryReader.java:126)
 at com.google.cloud.dataflow.worker.util.common.worker.BatchingShuffleEntryReader$ShuffleReadIterator.hasNext(BatchingShuffleEntryReader.java:90)
 at com.google.cloud.dataflow.worker.util.common.ForwardingReiterator.hasNext(ForwardingReiterator.java:62)
 at com.google.cloud.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.advance(GroupingShuffleEntryIterator.java:283)
 at com.google.cloud.dataflow.worker.util.common.worker.GroupingShuffleEntryIterator$ValuesIterator.hasNext(GroupingShuffleEntryIterator.java:278)
 at com.google.cloud.dataflow.worker.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.hasNext(GroupingShuffleReader.java:357)
 at org.apache.beam.runners.core.PeekingReiterator.computeNext(PeekingReiterator.java:94)
 at org.apache.beam.runners.core.PeekingReiterator.hasNext(PeekingReiterator.java:48)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn$WindowReiterator.skipToValidElement(BatchGroupAlsoByWindowViaIteratorsFn.java:226)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn$WindowReiterator.hasNext(BatchGroupAlsoByWindowViaIteratorsFn.java:202)
 at org.apache.beam.sdk.repackaged.com.google.common.collect.Iterators$PeekingImpl.hasNext(Iterators.java:1105)
 at org.apache.beam.sdk.transforms.join.CoGbkResult$UnionValueIterator.advance(CoGbkResult.java:430)
 at org.apache.beam.sdk.transforms.join.CoGbkResult$UnionValueIterator.hasNext(CoGbkResult.java:407)
 at org.apache.beam.sdk.repackaged.com.google.common.collect.MultitransformedIterator.hasNext(MultitransformedIterator.java:47)
 at com.monsanto.product360.beam.dataflow.materialviews.groupers.CabnAuspGrouper.processElement(CabnAuspGrouper.java:35)
 at com.monsanto.product360.beam.dataflow.materialviews.groupers.CabnAuspGrouper$DoFnInvoker.invokeProcessElement(Unknown Source)
 at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
 at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:141)
 at com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:324)
 at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:48)
 at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
 at com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:272)
 at org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:211)
 at org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:66)
 at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:436)
 at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:424)
 at org.apache.beam.sdk.transforms.join.CoGroupByKey$ConstructCoGbkResultFn.processElement(CoGroupByKey.java:206)
 at org.apache.beam.sdk.transforms.join.CoGroupByKey$ConstructCoGbkResultFn$DoFnInvoker.invokeProcessElement(Unknown Source)
 at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
 at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:141)
 at com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:324)
 at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:48)
 at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:180)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:104)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn.processElement(BatchGroupAlsoByWindowViaIteratorsFn.java:121)
 at com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn.processElement(BatchGroupAlsoByWindowViaIteratorsFn.java:53)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:117)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:74)
 at com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:113)
 at com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:48)
 at com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
 at com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:187)
 at com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:148)
 at com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:68)
 at com.google.cloud.dataflow.worker.DataflowWorker.executeWork(DataflowWorker.java:330)
 at com.google.cloud.dataflow.worker.DataflowWorker.doWork(DataflowWorker.java:302)
 at com.google.cloud.dataflow.worker.DataflowWorker.getAndPerformWork(DataflowWorker.java:251)
 at com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:135)
 at com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:115)
 at com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:102)
 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: java.io.IOException: INTERNAL: GOAWAY received
 at com.google.cloud.dataflow.worker.ApplianceShuffleReader.readIncludingPosition(Native Method)
 at com.google.cloud.dataflow.worker.ChunkingShuffleBatchReader.read(ChunkingShuffleBatchReader.java:62)
 at com.google.cloud.dataflow.worker.util.common.worker.CachingShuffleBatchReader$1.load(CachingShuffleBatchReader.java:57)
 at com.google.cloud.dataflow.worker.util.common.worker.CachingShuffleBatchReader$1.load(CachingShuffleBatchReader.java:53)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3628)
 at com.google.cloud.dataflow.worker.repackaged.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2336)
 ... 62 more

Answer 1

这看起来像是一个短暂的网络错误。在分布式系统中，瞬态错误必然会发生，因此Dataflow会重试失败几次（但它会记录它们，因为它们有时会知道它们是有用的）。如果你的工作取得成功，那就无需担心了。

Google云数据流INTERNAL：GOAWAY已收到

1 个答案: