Timed out while stopping and waiting for microbatchthread to terminate.: The code passed to failAfter did not complete within 30 seconds.
java.lang.Thread.getStackTrace(Thread.java:1559)
 org.scalatest.concurrent.TimeLimits.failAfterImpl(TimeLimits.scala:234)
 org.scalatest.concurrent.TimeLimits.failAfterImpl$(TimeLimits.scala:233)
 org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:47)
 org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)
 org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:229)
 org.apache.spark.sql.kafka010.KafkaSourceTest.failAfter(KafkaMicroBatchSourceSuite.scala:47)
 org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:586)
 org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:770)
 org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56$adapted(StreamTest.scala:757)

 Caused by: null
 java.lang.Object.wait(Native Method)
 java.lang.Thread.join(Thread.java:1252)
 java.lang.Thread.join(Thread.java:1326)
 org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.stop(ContinuousExecution.scala:387)
 org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$26(StreamTest.scala:587)
 scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
 org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
 org.scalatest.concurrent.TimeLimits.failAfterImpl(TimeLimits.scala:239)
 org.scalatest.concurrent.TimeLimits.failAfterImpl$(TimeLimits.scala:233)
 org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:47)


== 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@5e54e6d9,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@53eb3582,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":2,"4":1,"1":0,"3":1,"0":2}}}
Thread state: alive
Thread stack trace: sun.nio.ch.EPollArrayWrapper.epollWait(Native Method)
sun.nio.ch.EPollArrayWrapper.poll(EPollArrayWrapper.java:269)
sun.nio.ch.EPollSelectorImpl.doSelect(EPollSelectorImpl.java:93)
sun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86)
sun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)
org.apache.kafka.common.network.Selector.select(Selector.java:689)
org.apache.kafka.common.network.Selector.poll(Selector.java:409)
org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:510)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:271)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:242)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:233)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.awaitPendingRequests(ConsumerNetworkClient.java:324)
org.apache.kafka.clients.consumer.internals.AbstractCoordinator.close(AbstractCoordinator.java:792)
org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.close(ConsumerCoordinator.java:580)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2140)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2108)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2059)
org.apache.spark.sql.kafka010.KafkaOffsetReader.stopConsumer(KafkaOffsetReader.scala:317)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$close$1(KafkaOffsetReader.scala:108)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2621/371716980.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:255)
org.apache.spark.sql.kafka010.KafkaOffsetReader.close(KafkaOffsetReader.scala:108)
org.apache.spark.sql.kafka010.KafkaContinuousReadSupport.stop(KafkaContinuousReadSupport.scala:96)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1(StreamExecution.scala:373)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1$adapted(StreamExecution.scala:371)
org.apache.spark.sql.execution.streaming.StreamExecution$$Lambda$2620/1149336616.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:59)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:52)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
org.apache.spark.sql.execution.streaming.StreamExecution.stopSources(StreamExecution.scala:371)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:277)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:91)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)


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


== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- SerializeFromObject [input[0, int, false] AS value#11869]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11868: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
 +- Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
 +- Streaming RelationV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)

== Analyzed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- SerializeFromObject [input[0, int, false] AS value#11869]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11868: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
 +- Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
 +- Streaming RelationV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)

== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- SerializeFromObject [input[0, int, false] AS value#11869]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11868: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
 +- Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
 +- Streaming RelationV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)

== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- *(1) SerializeFromObject [input[0, int, false] AS value#11869]
 +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, obj#11868: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
 +- *(1) Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
 +- *(1) Project [key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894]
 +- *(1) ScanV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)
 

org.scalatest.exceptions.TestFailedException:
Timed out while stopping and waiting for microbatchthread to terminate.: The code passed to failAfter did not complete within 30 seconds.
java.lang.Thread.getStackTrace(Thread.java:1559)
org.scalatest.concurrent.TimeLimits.failAfterImpl(TimeLimits.scala:234)
org.scalatest.concurrent.TimeLimits.failAfterImpl$(TimeLimits.scala:233)
org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:47)
org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)
org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:229)
org.apache.spark.sql.kafka010.KafkaSourceTest.failAfter(KafkaMicroBatchSourceSuite.scala:47)
org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:586)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:770)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56$adapted(StreamTest.scala:757)
Caused by: null
java.lang.Object.wait(Native Method)
java.lang.Thread.join(Thread.java:1252)
java.lang.Thread.join(Thread.java:1326)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.stop(ContinuousExecution.scala:387)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$26(StreamTest.scala:587)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
org.scalatest.concurrent.TimeLimits.failAfterImpl(TimeLimits.scala:239)
org.scalatest.concurrent.TimeLimits.failAfterImpl$(TimeLimits.scala:233)
org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:47)
== 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@5e54e6d9,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@53eb3582,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":2,"4":1,"1":0,"3":1,"0":2}}}
Thread state: alive
Thread stack trace: sun.nio.ch.EPollArrayWrapper.epollWait(Native Method)
sun.nio.ch.EPollArrayWrapper.poll(EPollArrayWrapper.java:269)
sun.nio.ch.EPollSelectorImpl.doSelect(EPollSelectorImpl.java:93)
sun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86)
sun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)
org.apache.kafka.common.network.Selector.select(Selector.java:689)
org.apache.kafka.common.network.Selector.poll(Selector.java:409)
org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:510)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:271)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:242)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:233)
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.awaitPendingRequests(ConsumerNetworkClient.java:324)
org.apache.kafka.clients.consumer.internals.AbstractCoordinator.close(AbstractCoordinator.java:792)
org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.close(ConsumerCoordinator.java:580)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2140)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2108)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2059)
org.apache.spark.sql.kafka010.KafkaOffsetReader.stopConsumer(KafkaOffsetReader.scala:317)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$close$1(KafkaOffsetReader.scala:108)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2621/371716980.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:255)
org.apache.spark.sql.kafka010.KafkaOffsetReader.close(KafkaOffsetReader.scala:108)
org.apache.spark.sql.kafka010.KafkaContinuousReadSupport.stop(KafkaContinuousReadSupport.scala:96)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1(StreamExecution.scala:373)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1$adapted(StreamExecution.scala:371)
org.apache.spark.sql.execution.streaming.StreamExecution$$Lambda$2620/1149336616.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:59)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:52)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
org.apache.spark.sql.execution.streaming.StreamExecution.stopSources(StreamExecution.scala:371)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:277)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:91)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
== Sink ==
0:
1: [5] [4] [3] [7] [2] [6]
2:
== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- SerializeFromObject [input[0, int, false] AS value#11869]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11868: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
+- Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
+- Streaming RelationV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)
== Analyzed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- SerializeFromObject [input[0, int, false] AS value#11869]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11868: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
+- Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
+- Streaming RelationV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)
== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- SerializeFromObject [input[0, int, false] AS value#11869]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#11868: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
+- Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
+- Streaming RelationV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)
== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@2061e7e1
+- *(1) SerializeFromObject [input[0, int, false] AS value#11869]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3141/108798399@4d272c48, obj#11868: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#11867: scala.Tuple2
+- *(1) Project [cast(key#11888 as string) AS key#11859, cast(value#11889 as string) AS value#11860]
+- *(1) Project [key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894]
+- *(1) ScanV2 kafka[key#11888, value#11889, topic#11890, partition#11891, offset#11892L, timestamp#11893, timestampType#11894] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)
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:450)
at org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:598)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:770)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56$adapted(StreamTest.scala:757)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:52)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.sql.streaming.StreamTest.liftedTree1$1(StreamTest.scala:757)
at org.apache.spark.sql.streaming.StreamTest.testStream(StreamTest.scala:756)
at org.apache.spark.sql.streaming.StreamTest.testStream$(StreamTest.scala:326)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:47)
at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.testFromEarliestOffsets(KafkaMicroBatchSourceSuite.scala:1325)
at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.$anonfun$new$86(KafkaMicroBatchSourceSuite.scala:1031)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
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:103)
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$$super$runTest(KafkaMicroBatchSourceSuite.scala:47)
at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:221)
at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:214)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runTest(KafkaMicroBatchSourceSuite.scala:47)
at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:396)
at scala.collection.immutable.List.foreach(List.scala:389)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite.run(Suite.scala:1147)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$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:52)
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:52)
at org.scalatest.Suite.callExecuteOnSuite$1(Suite.scala:1210)
at org.scalatest.Suite.$anonfun$runNestedSuites$1(Suite.scala:1257)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:32)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:29)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:194)
at org.scalatest.Suite.runNestedSuites(Suite.scala:1255)
at org.scalatest.Suite.runNestedSuites$(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:389)
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)