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$4(KafkaTestUtils.scala:269)
 scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
 scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
 scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
 scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
 scala.collection.TraversableLike.map(TraversableLike.scala:237)
 scala.collection.TraversableLike.map$(TraversableLike.scala:230)
 scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)


== Progress ==
 AssertOnQuery(<condition>, )
=> AddKafkaData(topics = Set(topic-0-seems), data = WrappedArray(1, 2, 3), message = )
 CheckAnswer: [2],[3],[4]
 AssertOnQuery(<condition>, name)
 AddKafkaData(topics = Set(topic-0-bad), data = WrappedArray(4, 5, 6), message = )
 CheckAnswer: [2],[3],[4],[5],[6],[7]

== Stream ==
Output Mode: Append
Stream state: {KafkaSource[SubscribePattern[topic-0-.*]]: {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}}
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:242)
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2013)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2053)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2078)
org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:961)
org.apache.spark.rdd.RDD$$Lambda$2753/1262360501.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
org.apache.spark.rdd.RDD.withScope(RDD.scala:366)
org.apache.spark.rdd.RDD.collect(RDD.scala:960)
org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:54)
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:131)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2590/1952982029.apply(Unknown Source)
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2612/1951001875.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:98)
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:98)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:259)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5058/595138225.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
org.apache.spark.sql.execution.SQLExecution$$$Lambda$2514/1648141593.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:255)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5056/416386834.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:255)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:108)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:331)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:243)


== Sink ==
0: 
1: 
2: 
3: 
4: 


== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- SerializeFromObject [input[0, int, false] AS value#17786]
 +- MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#17785: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
 +- Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
 +- StreamingDataSourceV2Relation [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@251b11d5, KafkaSource[SubscribePattern[topic-0-.*]], {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}

== Analyzed Logical Plan ==

WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- SerializeFromObject [input[0, int, false] AS value#17786]
 +- MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#17785: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
 +- Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
 +- StreamingDataSourceV2Relation [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@251b11d5, KafkaSource[SubscribePattern[topic-0-.*]], {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}

== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- SerializeFromObject [input[0, int, false] AS value#17786]
 +- MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#17785: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
 +- Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
 +- StreamingDataSourceV2Relation [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@251b11d5, KafkaSource[SubscribePattern[topic-0-.*]], {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}

== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- *(1) SerializeFromObject [input[0, int, false] AS value#17786]
 +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, obj#17785: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
 +- *(1) Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
 +- *(1) Project [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766]
 +- *(1) ContinuousScan[key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan

 

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$4(KafkaTestUtils.scala:269)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
scala.collection.TraversableLike.map(TraversableLike.scala:237)
scala.collection.TraversableLike.map$(TraversableLike.scala:230)
scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
== Progress ==
AssertOnQuery(<condition>, )
=> AddKafkaData(topics = Set(topic-0-seems), data = WrappedArray(1, 2, 3), message = )
CheckAnswer: [2],[3],[4]
AssertOnQuery(<condition>, name)
AddKafkaData(topics = Set(topic-0-bad), data = WrappedArray(4, 5, 6), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7]
== Stream ==
Output Mode: Append
Stream state: {KafkaSource[SubscribePattern[topic-0-.*]]: {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}}
Thread state: alive
Thread stack trace: sun.misc.Unsafe.park(Native Method)
java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:836)
java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:997)
java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)
scala.concurrent.impl.Promise$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$.awaitReady(ThreadUtils.scala:242)
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2013)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2053)
org.apache.spark.SparkContext.runJob(SparkContext.scala:2078)
org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:961)
org.apache.spark.rdd.RDD$$Lambda$2753/1262360501.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
org.apache.spark.rdd.RDD.withScope(RDD.scala:366)
org.apache.spark.rdd.RDD.collect(RDD.scala:960)
org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:54)
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:131)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2590/1952982029.apply(Unknown Source)
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
org.apache.spark.sql.execution.SparkPlan$$Lambda$2612/1951001875.apply(Unknown Source)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:98)
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:98)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:259)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5058/595138225.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
org.apache.spark.sql.execution.SQLExecution$$$Lambda$2514/1648141593.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:255)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5056/416386834.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:255)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:108)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:331)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:243)
== Sink ==
0:
1:
2:
3:
4:
== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- SerializeFromObject [input[0, int, false] AS value#17786]
+- MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#17785: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
+- Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
+- StreamingDataSourceV2Relation [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@251b11d5, KafkaSource[SubscribePattern[topic-0-.*]], {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}
== Analyzed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- SerializeFromObject [input[0, int, false] AS value#17786]
+- MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#17785: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
+- Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
+- StreamingDataSourceV2Relation [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@251b11d5, KafkaSource[SubscribePattern[topic-0-.*]], {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}
== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- SerializeFromObject [input[0, int, false] AS value#17786]
+- MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#17785: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
+- Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
+- StreamingDataSourceV2Relation [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@251b11d5, KafkaSource[SubscribePattern[topic-0-.*]], {"topic-0-seems":{"2":0,"4":0,"1":1,"3":0,"0":0}}
== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@d6227ce
+- *(1) SerializeFromObject [input[0, int, false] AS value#17786]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$Lambda$6049/1526079431@5811797c, obj#17785: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#17784: scala.Tuple2
+- *(1) Project [cast(key#17760 as string) AS key#17774, cast(value#17761 as string) AS value#17775]
+- *(1) Project [key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766]
+- *(1) ContinuousScan[key#17760, value#17761, topic#17762, partition#17763, offset#17764L, timestamp#17765, timestampType#17766] class org.apache.spark.sql.kafka010.KafkaSourceProvider$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$1(StreamTest.scala:724)
at org.apache.spark.sql.streaming.StreamTest.$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:328)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite.$anonfun$new$30(KafkaContinuousSourceSuite.scala:222)
at scala.runtime.java8.JFunction0$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$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:105)
at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184)
at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178)
at org.apache.spark.sql.kafka010.KafkaSourceTest.org$scalatest$BeforeAndAfterEach$$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:54)
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:54)
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$13(Runner.scala:1346)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1340)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1340)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:1031)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:1010)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1506)
at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
at org.scalatest.tools.Runner$.main(Runner.scala:827)
at org.scalatest.tools.Runner.main(Runner.scala)