Assert on query failed: Add partitions: The code passed to eventually never returned normally. Attempted 3963 times over 1.0001241212166667 minutes. Last failure message: assertion failed: Partition [topic-5, 5] metadata not propagated after timeout.
org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:432)
 org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)
 org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)
 org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
 org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)
 org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)
 org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
 org.apache.spark.sql.kafka010.KafkaTestUtils.waitUntilMetadataIsPropagated(KafkaTestUtils.scala:441)
 org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$addPartitions$1(KafkaTestUtils.scala:236)
 scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:158)

 Caused by: assertion failed: Partition [topic-5, 5] metadata not propagated after timeout
 scala.Predef$.assert(Predef.scala:223)
 org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$waitUntilMetadataIsPropagated$1(KafkaTestUtils.scala:442)
 scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
 org.scalatest.concurrent.Eventually.makeAValiantAttempt$1(Eventually.scala:395)
 org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:409)
 org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)
 org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)
 org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
 org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)
 org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)


== Progress ==
 AddKafkaData(topics = Set(topic-5), data = WrappedArray(4, 5, 6), message = )
 CheckAnswer: [2],[3],[4],[5],[6],[7]
 StopStream
 StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@502a98bd,Map(),null)
 CheckAnswer: [2],[3],[4],[5],[6],[7]
 StopStream
 AddKafkaData(topics = Set(topic-5), data = WrappedArray(7, 8), message = )
 StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@297480a9,Map(),null)
 CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
=> AssertOnQuery(<condition>, Add partitions)
 AddKafkaData(topics = Set(topic-5), 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[Subscribe[topic-5]]: {"topic-5":{"2":3,"4":1,"1":2,"3":1,"0":1}}}
Thread state: alive
Thread stack trace: sun.misc.Unsafe.park(Native Method)
java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:836)
java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:997)
java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)
scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:242)
scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:258)
scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:187)
org.apache.spark.util.ThreadUtils$.awaitReady(ThreadUtils.scala:243)
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2008)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2073)
org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:961)
org.apache.spark.rdd.RDD$$Lambda$2717/419897069.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
org.apache.spark.rdd.RDD.withScope(RDD.scala:366)
org.apache.spark.rdd.RDD.collect(RDD.scala:960)
org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:54)
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:131)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2548/760348597.apply(Unknown Source)
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2565/2090526976.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:98)
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:98)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:257)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5028/213857424.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
org.apache.spark.sql.execution.SQLExecution$$$Lambda$2486/1118800267.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:147)
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:74)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:253)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5026/658895617.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:66)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:253)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:109)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:330)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:242)


== Sink ==
0: 
1: [6] [2] [4] [5] [7] [3]
2: 
3: 
4: 
5: [8] [9]
6: 
7: 
8: 
9: 


== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- SerializeFromObject [input[0, int, false] AS value#11919]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11918: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
 +- Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
 +- StreamingDataSourceV2Relation [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@5e979526, KafkaSource[Subscribe[topic-5]], {"topic-5":{"2":2,"4":1,"1":1,"3":1,"0":1}}

== Analyzed Logical Plan ==

WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- SerializeFromObject [input[0, int, false] AS value#11919]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11918: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
 +- Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
 +- StreamingDataSourceV2Relation [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@5e979526, KafkaSource[Subscribe[topic-5]], {"topic-5":{"2":2,"4":1,"1":1,"3":1,"0":1}}

== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- SerializeFromObject [input[0, int, false] AS value#11919]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11918: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
 +- Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
 +- StreamingDataSourceV2Relation [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@5e979526, KafkaSource[Subscribe[topic-5]], {"topic-5":{"2":2,"4":1,"1":1,"3":1,"0":1}}

== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- *(1) SerializeFromObject [input[0, int, false] AS value#11919]
 +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, obj#11918: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
 +- *(1) Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
 +- *(1) Project [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899]
 +- *(1) ContinuousScan[key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan

 

org.scalatest.exceptions.TestFailedException:
Assert on query failed: Add partitions: The code passed to eventually never returned normally. Attempted 3963 times over 1.0001241212166667 minutes. Last failure message: assertion failed: Partition [topic-5, 5] metadata not propagated after timeout.
org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:432)
org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)
org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)
org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)
org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)
org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
org.apache.spark.sql.kafka010.KafkaTestUtils.waitUntilMetadataIsPropagated(KafkaTestUtils.scala:441)
org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$addPartitions$1(KafkaTestUtils.scala:236)
scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:158)
Caused by: assertion failed: Partition [topic-5, 5] metadata not propagated after timeout
scala.Predef$.assert(Predef.scala:223)
org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$waitUntilMetadataIsPropagated$1(KafkaTestUtils.scala:442)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.scalatest.concurrent.Eventually.makeAValiantAttempt$1(Eventually.scala:395)
org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:409)
org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)
org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)
org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)
org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)
== Progress ==
AddKafkaData(topics = Set(topic-5), data = WrappedArray(4, 5, 6), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7]
StopStream
StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@502a98bd,Map(),null)
CheckAnswer: [2],[3],[4],[5],[6],[7]
StopStream
AddKafkaData(topics = Set(topic-5), data = WrappedArray(7, 8), message = )
StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@297480a9,Map(),null)
CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
=> AssertOnQuery(<condition>, Add partitions)
AddKafkaData(topics = Set(topic-5), 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[Subscribe[topic-5]]: {"topic-5":{"2":3,"4":1,"1":2,"3":1,"0":1}}}
Thread state: alive
Thread stack trace: sun.misc.Unsafe.park(Native Method)
java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:836)
java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:997)
java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)
scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:242)
scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:258)
scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:187)
org.apache.spark.util.ThreadUtils$.awaitReady(ThreadUtils.scala:243)
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2008)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2073)
org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:961)
org.apache.spark.rdd.RDD$$Lambda$2717/419897069.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
org.apache.spark.rdd.RDD.withScope(RDD.scala:366)
org.apache.spark.rdd.RDD.collect(RDD.scala:960)
org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:54)
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:131)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2548/760348597.apply(Unknown Source)
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2565/2090526976.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:98)
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:98)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:257)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5028/213857424.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
org.apache.spark.sql.execution.SQLExecution$$$Lambda$2486/1118800267.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:147)
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:74)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:253)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5026/658895617.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:66)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:253)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:109)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:330)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:242)
== Sink ==
0:
1: [6] [2] [4] [5] [7] [3]
2:
3:
4:
5: [8] [9]
6:
7:
8:
9:
== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- SerializeFromObject [input[0, int, false] AS value#11919]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11918: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
+- Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
+- StreamingDataSourceV2Relation [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@5e979526, KafkaSource[Subscribe[topic-5]], {"topic-5":{"2":2,"4":1,"1":1,"3":1,"0":1}}
== Analyzed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- SerializeFromObject [input[0, int, false] AS value#11919]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11918: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
+- Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
+- StreamingDataSourceV2Relation [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@5e979526, KafkaSource[Subscribe[topic-5]], {"topic-5":{"2":2,"4":1,"1":1,"3":1,"0":1}}
== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- SerializeFromObject [input[0, int, false] AS value#11919]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11918: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
+- Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
+- StreamingDataSourceV2Relation [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@5e979526, KafkaSource[Subscribe[topic-5]], {"topic-5":{"2":2,"4":1,"1":1,"3":1,"0":1}}
== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@548655f2
+- *(1) SerializeFromObject [input[0, int, false] AS value#11919]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3398/430411884@446cf34a, obj#11918: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#11917: scala.Tuple2
+- *(1) Project [cast(key#11893 as string) AS key#11907, cast(value#11894 as string) AS value#11908]
+- *(1) Project [key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899]
+- *(1) ContinuousScan[key#11893, value#11894, topic#11895, partition#11896, offset#11897L, timestamp#11898, timestampType#11899] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan
at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:527)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
at org.scalatest.Assertions.fail(Assertions.scala:1089)
at org.scalatest.Assertions.fail$(Assertions.scala:1085)
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$1(StreamTest.scala:654)
at org.apache.spark.sql.streaming.StreamTest.$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:328)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.testFromEarliestOffsets(KafkaMicroBatchSourceSuite.scala:1511)
at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.$anonfun$new$117(KafkaMicroBatchSourceSuite.scala:1218)
at scala.runtime.java8.JFunction0$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$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:104)
at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184)
at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178)
at org.apache.spark.sql.kafka010.KafkaSourceTest.org$scalatest$BeforeAndAfterEach$$super$runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:221)
at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:214)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:396)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite.run(Suite.scala:1147)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike.$anonfun$run$1(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike.run(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike.run$(FunSuiteLike.scala:232)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:53)
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:53)
at org.scalatest.Suite.callExecuteOnSuite$1(Suite.scala:1210)
at org.scalatest.Suite.$anonfun$runNestedSuites$1(Suite.scala:1257)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at org.scalatest.Suite.runNestedSuites(Suite.scala:1255)
at org.scalatest.Suite.runNestedSuites$(Suite.scala:1189)
at org.scalatest.tools.DiscoverySuite.runNestedSuites(DiscoverySuite.scala:30)
at org.scalatest.Suite.run(Suite.scala:1144)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.tools.DiscoverySuite.run(DiscoverySuite.scala:30)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13(Runner.scala:1340)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1334)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1334)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:1031)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:1010)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1500)
at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
at org.scalatest.tools.Runner$.main(Runner.scala:827)
at org.scalatest.tools.Runner.main(Runner.scala)