Stream Thread Died: null
java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326)
 scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
 scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
 scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
 org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
 org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
 org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:92)
 org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:76)
 org.apache.spark.sql.execution.streaming.state.StateStoreCoordinatorRef.deactivateInstances(StateStoreCoordinator.scala:108)
 org.apache.spark.sql.streaming.StreamingQueryManager.notifyQueryTermination(StreamingQueryManager.scala:335)


== Progress ==
 AddKafkaData(topics = Set(topic-21-suffix), data = WrappedArray(4, 5, 6), message = )
 CheckAnswer: [2],[3],[4],[5],[6],[7]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@337cb81d,Map())
 CheckAnswer: [2],[3],[4],[5],[6],[7]
 StopStream
 AddKafkaData(topics = Set(topic-21-suffix), data = WrappedArray(7, 8), message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@10f10230,Map())
 CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
 AssertOnQuery(<condition>, Add partitions)
 AddKafkaData(topics = Set(topic-21-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: {KafkaSource[SubscribePattern[topic-21-.*]]: {"topic-21-suffix":{"8":1,"2":2,"5":1,"4":2,"7":1,"1":2,"9":0,"3":3,"6":1,"0":3}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:326)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:294)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:211)
java.lang.InterruptedException
 at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326)
 at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
 at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
 at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
 at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
 at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
 at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:92)
 at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:76)
 at org.apache.spark.sql.execution.streaming.state.StateStoreCoordinatorRef.deactivateInstances(StateStoreCoordinator.scala:108)
 at org.apache.spark.sql.streaming.StreamingQueryManager.notifyQueryTermination(StreamingQueryManager.scala:335)
 at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:375)
 at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:211)


== Sink ==
0: [3] [4] [2]
1: [5]
2: [6] [7]
3: [8] [9]
4: 
5: [10]
6: [14] [11] [12] [17] [13] [15] [16]


== Plan ==
== Parsed Logical Plan ==
SerializeFromObject [input[0, int, false] AS value#3110]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#3109: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
 +- Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
 +- LogicalRDD [key#3262, value#3263, topic#3264, partition#3265, offset#3266L, timestamp#3267, timestampType#3268]

== Analyzed Logical Plan ==
value: int
SerializeFromObject [input[0, int, false] AS value#3110]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#3109: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
 +- Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
 +- LogicalRDD [key#3262, value#3263, topic#3264, partition#3265, offset#3266L, timestamp#3267, timestampType#3268]

== Optimized Logical Plan ==
SerializeFromObject [input[0, int, false] AS value#3110]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#3109: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
 +- Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
 +- LogicalRDD [key#3262, value#3263, topic#3264, partition#3265, offset#3266L, timestamp#3267, timestampType#3268]

== Physical Plan ==
*SerializeFromObject [input[0, int, false] AS value#3110]
+- *MapElements <function1>, obj#3109: int
 +- *DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
 +- *Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
 +- Scan ExistingRDD[key#3262,value#3263,topic#3264,partition#3265,offset#3266L,timestamp#3267,timestampType#3268]
 

org.scalatest.exceptions.TestFailedException:
Stream Thread Died: null
java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326)
scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:92)
org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:76)
org.apache.spark.sql.execution.streaming.state.StateStoreCoordinatorRef.deactivateInstances(StateStoreCoordinator.scala:108)
org.apache.spark.sql.streaming.StreamingQueryManager.notifyQueryTermination(StreamingQueryManager.scala:335)
== Progress ==
AddKafkaData(topics = Set(topic-21-suffix), data = WrappedArray(4, 5, 6), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@337cb81d,Map())
CheckAnswer: [2],[3],[4],[5],[6],[7]
StopStream
AddKafkaData(topics = Set(topic-21-suffix), data = WrappedArray(7, 8), message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@10f10230,Map())
CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
AssertOnQuery(<condition>, Add partitions)
AddKafkaData(topics = Set(topic-21-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: {KafkaSource[SubscribePattern[topic-21-.*]]: {"topic-21-suffix":{"8":1,"2":2,"5":1,"4":2,"7":1,"1":2,"9":0,"3":3,"6":1,"0":3}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:326)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:294)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:211)
java.lang.InterruptedException
at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1326)
at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:92)
at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:76)
at org.apache.spark.sql.execution.streaming.state.StateStoreCoordinatorRef.deactivateInstances(StateStoreCoordinator.scala:108)
at org.apache.spark.sql.streaming.StreamingQueryManager.notifyQueryTermination(StreamingQueryManager.scala:335)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:375)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:211)
== Sink ==
0: [3] [4] [2]
1: [5]
2: [6] [7]
3: [8] [9]
4:
5: [10]
6: [14] [11] [12] [17] [13] [15] [16]
== Plan ==
== Parsed Logical Plan ==
SerializeFromObject [input[0, int, false] AS value#3110]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#3109: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
+- Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
+- LogicalRDD [key#3262, value#3263, topic#3264, partition#3265, offset#3266L, timestamp#3267, timestampType#3268]
== Analyzed Logical Plan ==
value: int
SerializeFromObject [input[0, int, false] AS value#3110]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#3109: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
+- Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
+- LogicalRDD [key#3262, value#3263, topic#3264, partition#3265, offset#3266L, timestamp#3267, timestampType#3268]
== Optimized Logical Plan ==
SerializeFromObject [input[0, int, false] AS value#3110]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#3109: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
+- Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
+- LogicalRDD [key#3262, value#3263, topic#3264, partition#3265, offset#3266L, timestamp#3267, timestampType#3268]
== Physical Plan ==
*SerializeFromObject [input[0, int, false] AS value#3110]
+- *MapElements <function1>, obj#3109: int
+- *DeserializeToObject newInstance(class scala.Tuple2), obj#3108: scala.Tuple2
+- *Project [cast(key#3262 as string) AS key#3099, cast(value#3263 as string) AS value#3100]
+- Scan ExistingRDD[key#3262,value#3263,topic#3264,partition#3265,offset#3266L,timestamp#3267,timestampType#3268]
at org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:495)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1555)
at org.scalatest.Assertions$class.fail(Assertions.scala:1328)
at org.scalatest.FunSuite.fail(FunSuite.scala:1555)
at org.apache.spark.sql.streaming.StreamTest$class.failTest$1(StreamTest.scala:344)
at org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:572)
at org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:353)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaSourceSuite.scala:46)
at org.apache.spark.sql.kafka010.KafkaSourceSuite.org$apache$spark$sql$kafka010$KafkaSourceSuite$$testFromEarliestOffsets(KafkaSourceSuite.scala:835)
at org.apache.spark.sql.kafka010.KafkaSourceSuite$$anonfun$24$$anonfun$apply$9.apply$mcV$sp(KafkaSourceSuite.scala:408)
at org.apache.spark.sql.kafka010.KafkaSourceSuite$$anonfun$24$$anonfun$apply$9.apply(KafkaSourceSuite.scala:405)
at org.apache.spark.sql.kafka010.KafkaSourceSuite$$anonfun$24$$anonfun$apply$9.apply(KafkaSourceSuite.scala:405)
at org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
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$$anon$1.apply(FunSuiteLike.scala:166)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:68)
at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:175)
at org.apache.spark.sql.kafka010.KafkaSourceTest.org$scalatest$BeforeAndAfterEach$$super$runTest(KafkaSourceSuite.scala:46)
at org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:255)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runTest(KafkaSourceSuite.scala:46)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:413)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:401)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:396)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:483)
at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:208)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1555)
at org.scalatest.Suite$class.run(Suite.scala:1424)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1555)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
at org.scalatest.SuperEngine.runImpl(Engine.scala:545)
at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:212)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:31)
at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:257)
at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:256)
at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:31)
at org.scalatest.Suite$class.callExecuteOnSuite$1(Suite.scala:1492)
at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1528)
at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1526)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at org.scalatest.Suite$class.runNestedSuites(Suite.scala:1526)
at org.scalatest.tools.DiscoverySuite.runNestedSuites(DiscoverySuite.scala:29)
at org.scalatest.Suite$class.run(Suite.scala:1421)
at org.scalatest.tools.DiscoverySuite.run(DiscoverySuite.scala:29)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:55)
at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2563)
at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2557)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:2557)
at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1044)
at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1043)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:2722)
at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1043)
at org.scalatest.tools.Runner$.main(Runner.scala:860)
at org.scalatest.tools.Runner.main(Runner.scala)