Regression
org.apache.spark.sql.kafka010.KafkaMicroBatchV1SourceSuite.subscribing topic by pattern from latest offsets (failOnDataLoss: true)
Failing for the past 1 build
(Since
#5031 )

Error Message
org.scalatest.exceptions.TestFailedException: Error adding data: Timeout after waiting for 10000 ms. org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:78) org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:30) org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$sendMessages$3(KafkaTestUtils.scala:466) scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36) scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33) scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38) scala.collection.TraversableLike.map(TraversableLike.scala:238) scala.collection.TraversableLike.map$(TraversableLike.scala:231) scala.collection.AbstractTraversable.map(Traversable.scala:108) == Progress == AssertOnQuery(<condition>, ) AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(1, 2, 3), message = ) CheckAnswer: [2],[3],[4] StopStream StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@3094faf2,Map(),null) CheckAnswer: [2],[3],[4] StopStream AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(4, 5, 6), message = ) StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@38815969,Map(),null) CheckAnswer: [2],[3],[4],[5],[6],[7] AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(7, 8), message = ) CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9] AssertOnQuery(<condition>, Add partitions) => AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(9, 10, 11, 12, 13, 14, 15, 16), message = ) CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17] == Stream == Output Mode: Append Stream state: {KafkaSourceV1[SubscribePattern[topic-9-.*]]: {"topic-9-suffix":{"8":0,"2":2,"5":0,"4":0,"7":0,"1":3,"9":0,"3":3,"6":0,"0":3}}} Thread state: alive Thread stack trace: java.io.FileOutputStream.writeBytes(Native Method) java.io.FileOutputStream.write(FileOutputStream.java:326) sun.nio.cs.StreamEncoder.writeBytes(StreamEncoder.java:221) sun.nio.cs.StreamEncoder.implFlushBuffer(StreamEncoder.java:291) sun.nio.cs.StreamEncoder.implFlush(StreamEncoder.java:295) sun.nio.cs.StreamEncoder.flush(StreamEncoder.java:141) java.io.OutputStreamWriter.flush(OutputStreamWriter.java:229) org.apache.log4j.helpers.QuietWriter.flush(QuietWriter.java:59) org.apache.log4j.WriterAppender.subAppend(WriterAppender.java:324) org.apache.log4j.WriterAppender.append(WriterAppender.java:162) org.apache.log4j.AppenderSkeleton.doAppend(AppenderSkeleton.java:251) org.apache.log4j.helpers.AppenderAttachableImpl.appendLoopOnAppenders(AppenderAttachableImpl.java:66) org.apache.log4j.Category.callAppenders(Category.java:206) org.apache.log4j.Category.forcedLog(Category.java:391) org.apache.log4j.Category.log(Category.java:856) org.slf4j.impl.Log4jLoggerAdapter.log(Log4jLoggerAdapter.java:581) org.apache.kafka.common.utils.LogContext$LocationAwareKafkaLogger.writeLog(LogContext.java:434) org.apache.kafka.common.utils.LogContext$LocationAwareKafkaLogger.info(LogContext.java:387) org.apache.kafka.clients.consumer.internals.SubscriptionState.maybeSeekUnvalidated(SubscriptionState.java:381) org.apache.kafka.clients.consumer.internals.Fetcher.resetOffsetIfNeeded(Fetcher.java:716) org.apache.kafka.clients.consumer.internals.Fetcher.access$2700(Fetcher.java:128) org.apache.kafka.clients.consumer.internals.Fetcher$2.onSuccess(Fetcher.java:740) org.apache.kafka.clients.consumer.internals.Fetcher$2.onSuccess(Fetcher.java:728) org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:167) org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:127) org.apache.kafka.clients.consumer.internals.Fetcher.handleListOffsetResponse(Fetcher.java:1045) org.apache.kafka.clients.consumer.internals.Fetcher.access$2900(Fetcher.java:128) org.apache.kafka.clients.consumer.internals.Fetcher$5.onSuccess(Fetcher.java:951) org.apache.kafka.clients.consumer.internals.Fetcher$5.onSuccess(Fetcher.java:946) org.apache.kafka.clients.consumer.internals.RequestFuture$1.onSuccess(RequestFuture.java:204) org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:167) org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:127) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.fireCompletion(ConsumerNetworkClient.java:599) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.firePendingCompletedRequests(ConsumerNetworkClient.java:409) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:294) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:233) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:224) org.apache.kafka.clients.consumer.KafkaConsumer.position(KafkaConsumer.java:1726) org.apache.kafka.clients.consumer.KafkaConsumer.position(KafkaConsumer.java:1684) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$7(KafkaOffsetReader.scala:352) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2809/203337554.apply(Unknown Source) scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) scala.collection.TraversableLike$$Lambda$15/225290371.apply(Unknown Source) scala.collection.Iterator.foreach(Iterator.scala:941) scala.collection.Iterator.foreach$(Iterator.scala:941) scala.collection.AbstractIterator.foreach(Iterator.scala:1429) scala.collection.IterableLike.foreach(IterableLike.scala:74) scala.collection.IterableLike.foreach$(IterableLike.scala:73) scala.collection.AbstractIterable.foreach(Iterable.scala:56) scala.collection.TraversableLike.map(TraversableLike.scala:238) scala.collection.TraversableLike.map$(TraversableLike.scala:231) scala.collection.mutable.AbstractSet.scala$collection$SetLike$$super$map(Set.scala:48) scala.collection.SetLike.map(SetLike.scala:104) scala.collection.SetLike.map$(SetLike.scala:104) scala.collection.mutable.AbstractSet.map(Set.scala:48) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:352) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2807/1462478938.apply(Unknown Source) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$partitionsAssignedToConsumer$2(KafkaOffsetReader.scala:550) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2785/1460792842.apply(Unknown Source) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:600) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2786/934859477.apply$mcV$sp(Unknown Source) scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77) org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:599) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$partitionsAssignedToConsumer$1(KafkaOffsetReader.scala:536) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2784/407908898.apply(Unknown Source) org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:567) org.apache.spark.sql.kafka010.KafkaOffsetReader.partitionsAssignedToConsumer(KafkaOffsetReader.scala:536) org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:316) org.apache.spark.sql.kafka010.KafkaSource.latestOffset(KafkaSource.scala:140) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$3(MicroBatchExecution.scala:380) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2773/536776005.apply(Unknown Source) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:352) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350) org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:371) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2772/328966872.apply(Unknown Source) scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) scala.collection.TraversableLike$$Lambda$15/225290371.apply(Unknown Source) scala.collection.immutable.Map$Map1.foreach(Map.scala:128) scala.collection.TraversableLike.map(TraversableLike.scala:238) scala.collection.TraversableLike.map$(TraversableLike.scala:231) scala.collection.AbstractTraversable.map(Traversable.scala:108) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:368) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2771/617989200.apply$mcZ$sp(Unknown Source) scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23) org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:598) org.apache.spark.sql.execution.streaming.MicroBatchExecution.constructNextBatch(MicroBatchExecution.scala:364) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:208) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2763/2010942976.apply$mcV$sp(Unknown Source) scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:352) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350) org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:191) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2761/723429513.apply$mcZ$sp(Unknown Source) org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57) org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185) org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:333) org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244) == Sink == 0: 1: [2] 2: [3] 3: [4] 4: [6] [7] [5] 5: [8] 6: [9] 7: 8: [10] 9: [11] == Plan == == Parsed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- SerializeFromObject [input[0, int, false] AS value#5877] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5876: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- Project [cast(key#5851 as string) AS key#5865, cast(value#5852 as string) AS value#5866] +- Project [key#6113 AS key#5851, value#6114 AS value#5852, topic#6115 AS topic#5853, partition#6116 AS partition#5854, offset#6117L AS offset#5855L, timestamp#6118 AS timestamp#5856, timestampType#6119 AS timestampType#5857] +- LogicalRDD [key#6113, value#6114, topic#6115, partition#6116, offset#6117L, timestamp#6118, timestampType#6119], true == Analyzed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- SerializeFromObject [input[0, int, false] AS value#5877] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5876: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- Project [cast(key#5851 as string) AS key#5865, cast(value#5852 as string) AS value#5866] +- Project [key#6113 AS key#5851, value#6114 AS value#5852, topic#6115 AS topic#5853, partition#6116 AS partition#5854, offset#6117L AS offset#5855L, timestamp#6118 AS timestamp#5856, timestampType#6119 AS timestampType#5857] +- LogicalRDD [key#6113, value#6114, topic#6115, partition#6116, offset#6117L, timestamp#6118, timestampType#6119], true == Optimized Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- SerializeFromObject [input[0, int, false] AS value#5877] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5876: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- Project [cast(key#6113 as string) AS key#5865, cast(value#6114 as string) AS value#5866] +- LogicalRDD [key#6113, value#6114, topic#6115, partition#6116, offset#6117L, timestamp#6118, timestampType#6119], true == Physical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- *(1) SerializeFromObject [input[0, int, false] AS value#5877] +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, obj#5876: int +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- *(1) Project [cast(key#6113 as string) AS key#5865, cast(value#6114 as string) AS value#5866] +- *(1) Scan ExistingRDD kafka[key#6113,value#6114,topic#6115,partition#6116,offset#6117L,timestamp#6118,timestampType#6119]
Stacktrace
sbt.ForkMain$ForkError: org.scalatest.exceptions.TestFailedException: Error adding data: Timeout after waiting for 10000 ms. org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:78) org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:30) org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$sendMessages$3(KafkaTestUtils.scala:466) scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36) scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33) scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38) scala.collection.TraversableLike.map(TraversableLike.scala:238) scala.collection.TraversableLike.map$(TraversableLike.scala:231) scala.collection.AbstractTraversable.map(Traversable.scala:108) == Progress == AssertOnQuery(<condition>, ) AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(1, 2, 3), message = ) CheckAnswer: [2],[3],[4] StopStream StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@3094faf2,Map(),null) CheckAnswer: [2],[3],[4] StopStream AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(4, 5, 6), message = ) StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@38815969,Map(),null) CheckAnswer: [2],[3],[4],[5],[6],[7] AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(7, 8), message = ) CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9] AssertOnQuery(<condition>, Add partitions) => AddKafkaData(topics = Set(topic-9-suffix), data = WrappedArray(9, 10, 11, 12, 13, 14, 15, 16), message = ) CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17] == Stream == Output Mode: Append Stream state: {KafkaSourceV1[SubscribePattern[topic-9-.*]]: {"topic-9-suffix":{"8":0,"2":2,"5":0,"4":0,"7":0,"1":3,"9":0,"3":3,"6":0,"0":3}}} Thread state: alive Thread stack trace: java.io.FileOutputStream.writeBytes(Native Method) java.io.FileOutputStream.write(FileOutputStream.java:326) sun.nio.cs.StreamEncoder.writeBytes(StreamEncoder.java:221) sun.nio.cs.StreamEncoder.implFlushBuffer(StreamEncoder.java:291) sun.nio.cs.StreamEncoder.implFlush(StreamEncoder.java:295) sun.nio.cs.StreamEncoder.flush(StreamEncoder.java:141) java.io.OutputStreamWriter.flush(OutputStreamWriter.java:229) org.apache.log4j.helpers.QuietWriter.flush(QuietWriter.java:59) org.apache.log4j.WriterAppender.subAppend(WriterAppender.java:324) org.apache.log4j.WriterAppender.append(WriterAppender.java:162) org.apache.log4j.AppenderSkeleton.doAppend(AppenderSkeleton.java:251) org.apache.log4j.helpers.AppenderAttachableImpl.appendLoopOnAppenders(AppenderAttachableImpl.java:66) org.apache.log4j.Category.callAppenders(Category.java:206) org.apache.log4j.Category.forcedLog(Category.java:391) org.apache.log4j.Category.log(Category.java:856) org.slf4j.impl.Log4jLoggerAdapter.log(Log4jLoggerAdapter.java:581) org.apache.kafka.common.utils.LogContext$LocationAwareKafkaLogger.writeLog(LogContext.java:434) org.apache.kafka.common.utils.LogContext$LocationAwareKafkaLogger.info(LogContext.java:387) org.apache.kafka.clients.consumer.internals.SubscriptionState.maybeSeekUnvalidated(SubscriptionState.java:381) org.apache.kafka.clients.consumer.internals.Fetcher.resetOffsetIfNeeded(Fetcher.java:716) org.apache.kafka.clients.consumer.internals.Fetcher.access$2700(Fetcher.java:128) org.apache.kafka.clients.consumer.internals.Fetcher$2.onSuccess(Fetcher.java:740) org.apache.kafka.clients.consumer.internals.Fetcher$2.onSuccess(Fetcher.java:728) org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:167) org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:127) org.apache.kafka.clients.consumer.internals.Fetcher.handleListOffsetResponse(Fetcher.java:1045) org.apache.kafka.clients.consumer.internals.Fetcher.access$2900(Fetcher.java:128) org.apache.kafka.clients.consumer.internals.Fetcher$5.onSuccess(Fetcher.java:951) org.apache.kafka.clients.consumer.internals.Fetcher$5.onSuccess(Fetcher.java:946) org.apache.kafka.clients.consumer.internals.RequestFuture$1.onSuccess(RequestFuture.java:204) org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:167) org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:127) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.fireCompletion(ConsumerNetworkClient.java:599) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.firePendingCompletedRequests(ConsumerNetworkClient.java:409) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:294) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:233) org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:224) org.apache.kafka.clients.consumer.KafkaConsumer.position(KafkaConsumer.java:1726) org.apache.kafka.clients.consumer.KafkaConsumer.position(KafkaConsumer.java:1684) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$7(KafkaOffsetReader.scala:352) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2809/203337554.apply(Unknown Source) scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) scala.collection.TraversableLike$$Lambda$15/225290371.apply(Unknown Source) scala.collection.Iterator.foreach(Iterator.scala:941) scala.collection.Iterator.foreach$(Iterator.scala:941) scala.collection.AbstractIterator.foreach(Iterator.scala:1429) scala.collection.IterableLike.foreach(IterableLike.scala:74) scala.collection.IterableLike.foreach$(IterableLike.scala:73) scala.collection.AbstractIterable.foreach(Iterable.scala:56) scala.collection.TraversableLike.map(TraversableLike.scala:238) scala.collection.TraversableLike.map$(TraversableLike.scala:231) scala.collection.mutable.AbstractSet.scala$collection$SetLike$$super$map(Set.scala:48) scala.collection.SetLike.map(SetLike.scala:104) scala.collection.SetLike.map$(SetLike.scala:104) scala.collection.mutable.AbstractSet.map(Set.scala:48) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:352) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2807/1462478938.apply(Unknown Source) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$partitionsAssignedToConsumer$2(KafkaOffsetReader.scala:550) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2785/1460792842.apply(Unknown Source) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:600) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2786/934859477.apply$mcV$sp(Unknown Source) scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77) org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:599) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$partitionsAssignedToConsumer$1(KafkaOffsetReader.scala:536) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2784/407908898.apply(Unknown Source) org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:567) org.apache.spark.sql.kafka010.KafkaOffsetReader.partitionsAssignedToConsumer(KafkaOffsetReader.scala:536) org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:316) org.apache.spark.sql.kafka010.KafkaSource.latestOffset(KafkaSource.scala:140) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$3(MicroBatchExecution.scala:380) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2773/536776005.apply(Unknown Source) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:352) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350) org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:371) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2772/328966872.apply(Unknown Source) scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) scala.collection.TraversableLike$$Lambda$15/225290371.apply(Unknown Source) scala.collection.immutable.Map$Map1.foreach(Map.scala:128) scala.collection.TraversableLike.map(TraversableLike.scala:238) scala.collection.TraversableLike.map$(TraversableLike.scala:231) scala.collection.AbstractTraversable.map(Traversable.scala:108) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:368) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2771/617989200.apply$mcZ$sp(Unknown Source) scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23) org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:598) org.apache.spark.sql.execution.streaming.MicroBatchExecution.constructNextBatch(MicroBatchExecution.scala:364) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:208) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2763/2010942976.apply$mcV$sp(Unknown Source) scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:352) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350) org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:191) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2761/723429513.apply$mcZ$sp(Unknown Source) org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57) org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185) org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:333) org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244) == Sink == 0: 1: [2] 2: [3] 3: [4] 4: [6] [7] [5] 5: [8] 6: [9] 7: 8: [10] 9: [11] == Plan == == Parsed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- SerializeFromObject [input[0, int, false] AS value#5877] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5876: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- Project [cast(key#5851 as string) AS key#5865, cast(value#5852 as string) AS value#5866] +- Project [key#6113 AS key#5851, value#6114 AS value#5852, topic#6115 AS topic#5853, partition#6116 AS partition#5854, offset#6117L AS offset#5855L, timestamp#6118 AS timestamp#5856, timestampType#6119 AS timestampType#5857] +- LogicalRDD [key#6113, value#6114, topic#6115, partition#6116, offset#6117L, timestamp#6118, timestampType#6119], true == Analyzed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- SerializeFromObject [input[0, int, false] AS value#5877] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5876: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- Project [cast(key#5851 as string) AS key#5865, cast(value#5852 as string) AS value#5866] +- Project [key#6113 AS key#5851, value#6114 AS value#5852, topic#6115 AS topic#5853, partition#6116 AS partition#5854, offset#6117L AS offset#5855L, timestamp#6118 AS timestamp#5856, timestampType#6119 AS timestampType#5857] +- LogicalRDD [key#6113, value#6114, topic#6115, partition#6116, offset#6117L, timestamp#6118, timestampType#6119], true == Optimized Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- SerializeFromObject [input[0, int, false] AS value#5877] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5876: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- Project [cast(key#6113 as string) AS key#5865, cast(value#6114 as string) AS value#5866] +- LogicalRDD [key#6113, value#6114, topic#6115, partition#6116, offset#6117L, timestamp#6118, timestampType#6119], true == Physical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5c1b8893 +- *(1) SerializeFromObject [input[0, int, false] AS value#5877] +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5626/101736346@15c24e77, obj#5876: int +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#5875: scala.Tuple2 +- *(1) Project [cast(key#6113 as string) AS key#5865, cast(value#6114 as string) AS value#5866] +- *(1) Scan ExistingRDD kafka[key#6113,value#6114,topic#6115,partition#6116,offset#6117L,timestamp#6118,timestampType#6119] at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:530) at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:529) at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560) at org.scalatest.Assertions.fail(Assertions.scala:1091) at org.scalatest.Assertions.fail$(Assertions.scala:1087) at org.scalatest.FunSuite.fail(FunSuite.scala:1560) at org.apache.spark.sql.streaming.StreamTest.failTest$1(StreamTest.scala:452) at org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:724) at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:778) at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56$adapted(StreamTest.scala:765) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.sql.streaming.StreamTest.liftedTree1$1(StreamTest.scala:765) at org.apache.spark.sql.streaming.StreamTest.testStream(StreamTest.scala:764) at org.apache.spark.sql.streaming.StreamTest.testStream$(StreamTest.scala:334) at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:53) at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.testFromLatestOffsets(KafkaMicroBatchSourceSuite.scala:1728) at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.$anonfun$new$138(KafkaMicroBatchSourceSuite.scala:1379) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85) at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83) at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104) at org.scalatest.Transformer.apply(Transformer.scala:22) at org.scalatest.Transformer.apply(Transformer.scala:20) at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186) at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:151) at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184) at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196) at org.scalatest.SuperEngine.runTestImpl(Engine.scala:286) at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196) at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178) at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:58) at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:221) at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:214) at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:58) at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229) at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:393) at scala.collection.immutable.List.foreach(List.scala:392) at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:381) at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:376) at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:458) at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229) at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228) at org.scalatest.FunSuite.runTests(FunSuite.scala:1560) at org.scalatest.Suite.run(Suite.scala:1124) at org.scalatest.Suite.run$(Suite.scala:1106) at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560) at org.scalatest.FunSuiteLike.$anonfun$run$1(FunSuiteLike.scala:233) at org.scalatest.SuperEngine.runImpl(Engine.scala:518) at org.scalatest.FunSuiteLike.run(FunSuiteLike.scala:233) at org.scalatest.FunSuiteLike.run$(FunSuiteLike.scala:232) at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:58) at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213) at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210) at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208) at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:58) at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:317) at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:510) at sbt.ForkMain$Run$2.call(ForkMain.java:296) at sbt.ForkMain$Run$2.call(ForkMain.java:286) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)