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$(TimeLimits.scala:233)
 org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:50)
 org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)
 org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:229)
 org.apache.spark.sql.kafka010.KafkaSourceTest.failAfter(KafkaMicroBatchSourceSuite.scala:50)
 org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:580)
 org.apache.spark.sql.streaming.StreamTest.$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.MicroBatchExecution.stop(MicroBatchExecution.scala:154)
 org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$26(StreamTest.scala:581)
 scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
 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:50)


== Progress ==
 AssertOnQuery(<condition>, )
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 0 until 9, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9]
=> StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@4296e80,Map(),null)
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 9 until 13, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@50bf51bb,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13]
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = empty Range 13 until 13, message = Add partition)
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 13 until 14, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14]
 StopStream
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 14 until 18, message = Add partition)
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 18 until 26, message = )
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 26 until 33, message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1e4c8045,Map(),null)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = empty Range 33 until 33, message = Add topic stress7)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@47bc6e24,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33]
 StopStream
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = empty Range 33 until 33, message = Add topic stress9)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = Range 33 until 35, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = Range 35 until 40, message = Add partition)
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@82e553d,Map(),null)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = Range 40 until 48, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = Range 48 until 56, message = Delete topic stress8)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = Range 56 until 61, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = Range 61 until 62, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = empty Range 62 until 62, message = Delete topic stress2)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62]
 StopStream
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = Range 62 until 70, message = Add partition)
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@2236ff0a,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@58020da1,Map(),null)
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = Range 70 until 75, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = Range 75 until 80, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 80 until 89, message = Add topic stress11)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89]
 StopStream
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 89 until 93, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = empty Range 93 until 93, message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@7c6b95cb,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@616a0c6,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93]
 StopStream
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 93 until 95, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 95 until 100, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 100 until 104, message = Add partition)
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 104 until 108, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 108 until 116, message = Add partition)
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 116 until 123, message = )
 AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 123 until 129, message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@13cdd1a1,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121],[122],[123],[124],[125],[126],[127],[128],[129]

== Stream ==
Output Mode: Append
Stream state: {KafkaV2[SubscribePattern[stress.*]]: {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}}
Thread state: alive
Thread stack trace: org.apache.log4j.Category.callAppenders(Category.java:204)
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.warn(LogContext.java:282)
org.apache.kafka.clients.consumer.internals.AbstractCoordinator.close(AbstractCoordinator.java:809)
org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.close(ConsumerCoordinator.java:568)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2169)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2137)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2088)
org.apache.spark.sql.kafka010.KafkaOffsetReader.stopConsumer(KafkaOffsetReader.scala:387)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$close$1(KafkaOffsetReader.scala:109)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$3264/986614651.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:325)
org.apache.spark.sql.kafka010.KafkaOffsetReader.close(KafkaOffsetReader.scala:109)
org.apache.spark.sql.kafka010.KafkaMicroBatchStream.stop(KafkaMicroBatchStream.scala:175)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1(StreamExecution.scala:429)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1$adapted(StreamExecution.scala:427)
org.apache.spark.sql.execution.streaming.StreamExecution$$Lambda$3263/2091156092.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
org.apache.spark.sql.execution.streaming.StreamExecution.stopSources(StreamExecution.scala:427)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$runStream$2(StreamExecution.scala:372)
org.apache.spark.sql.execution.streaming.StreamExecution$$Lambda$3261/236596563.apply(Unknown Source)
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:361)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)


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


== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- SerializeFromObject [input[0, int, false] AS value#14764]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14763: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
 +- Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
 +- StreamingDataSourceV2Relation [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@593ae078, KafkaV2[SubscribePattern[stress.*]], {"stress5":{"1":5,"0":4},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}, {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}

== Analyzed Logical Plan ==

WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- SerializeFromObject [input[0, int, false] AS value#14764]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14763: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
 +- Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
 +- StreamingDataSourceV2Relation [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@593ae078, KafkaV2[SubscribePattern[stress.*]], {"stress5":{"1":5,"0":4},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}, {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}

== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- SerializeFromObject [input[0, int, false] AS value#14764]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14763: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
 +- Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
 +- StreamingDataSourceV2Relation [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@593ae078, KafkaV2[SubscribePattern[stress.*]], {"stress5":{"1":5,"0":4},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}, {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}

== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- *(1) SerializeFromObject [input[0, int, false] AS value#14764]
 +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, obj#14763: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
 +- *(1) Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
 +- *(1) Project [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744]
 +- *(1) MicroBatchScan[key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan

 

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$(TimeLimits.scala:233)
org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:50)
org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)
org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:229)
org.apache.spark.sql.kafka010.KafkaSourceTest.failAfter(KafkaMicroBatchSourceSuite.scala:50)
org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:580)
org.apache.spark.sql.streaming.StreamTest.$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.MicroBatchExecution.stop(MicroBatchExecution.scala:154)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$26(StreamTest.scala:581)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
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:50)
== Progress ==
AssertOnQuery(<condition>, )
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 0 until 9, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9]
=> StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@4296e80,Map(),null)
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 9 until 13, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@50bf51bb,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13]
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = empty Range 13 until 13, message = Add partition)
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 13 until 14, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14]
StopStream
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 14 until 18, message = Add partition)
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 18 until 26, message = )
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 26 until 33, message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1e4c8045,Map(),null)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = empty Range 33 until 33, message = Add topic stress7)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@47bc6e24,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33]
StopStream
AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = empty Range 33 until 33, message = Add topic stress9)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = Range 33 until 35, message = )
AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = Range 35 until 40, message = Add partition)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@82e553d,Map(),null)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress5, stress3), data = Range 40 until 48, message = )
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = Range 48 until 56, message = Delete topic stress8)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = Range 56 until 61, message = )
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress5, stress3), data = Range 61 until 62, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = empty Range 62 until 62, message = Delete topic stress2)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62]
StopStream
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = Range 62 until 70, message = Add partition)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@2236ff0a,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@58020da1,Map(),null)
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = Range 70 until 75, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3), data = Range 75 until 80, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 80 until 89, message = Add topic stress11)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89]
StopStream
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 89 until 93, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = empty Range 93 until 93, message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@7c6b95cb,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@616a0c6,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93]
StopStream
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 93 until 95, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 95 until 100, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 100 until 104, message = Add partition)
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 104 until 108, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 108 until 116, message = Add partition)
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 116 until 123, message = )
AddKafkaData(topics = Set(stress4, stress6, stress1, stress5, stress3, stress10), data = Range 123 until 129, message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@13cdd1a1,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121],[122],[123],[124],[125],[126],[127],[128],[129]
== Stream ==
Output Mode: Append
Stream state: {KafkaV2[SubscribePattern[stress.*]]: {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}}
Thread state: alive
Thread stack trace: org.apache.log4j.Category.callAppenders(Category.java:204)
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.warn(LogContext.java:282)
org.apache.kafka.clients.consumer.internals.AbstractCoordinator.close(AbstractCoordinator.java:809)
org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.close(ConsumerCoordinator.java:568)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2169)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2137)
org.apache.kafka.clients.consumer.KafkaConsumer.close(KafkaConsumer.java:2088)
org.apache.spark.sql.kafka010.KafkaOffsetReader.stopConsumer(KafkaOffsetReader.scala:387)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$close$1(KafkaOffsetReader.scala:109)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$3264/986614651.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:325)
org.apache.spark.sql.kafka010.KafkaOffsetReader.close(KafkaOffsetReader.scala:109)
org.apache.spark.sql.kafka010.KafkaMicroBatchStream.stop(KafkaMicroBatchStream.scala:175)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1(StreamExecution.scala:429)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$stopSources$1$adapted(StreamExecution.scala:427)
org.apache.spark.sql.execution.streaming.StreamExecution$$Lambda$3263/2091156092.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
org.apache.spark.sql.execution.streaming.StreamExecution.stopSources(StreamExecution.scala:427)
org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$runStream$2(StreamExecution.scala:372)
org.apache.spark.sql.execution.streaming.StreamExecution$$Lambda$3261/236596563.apply(Unknown Source)
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:361)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
== Sink ==
0:
1: [2] [4] [1] [3]
2: [6] [8] [5] [7] [9]
== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- SerializeFromObject [input[0, int, false] AS value#14764]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14763: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
+- Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
+- StreamingDataSourceV2Relation [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@593ae078, KafkaV2[SubscribePattern[stress.*]], {"stress5":{"1":5,"0":4},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}, {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}
== Analyzed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- SerializeFromObject [input[0, int, false] AS value#14764]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14763: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
+- Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
+- StreamingDataSourceV2Relation [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@593ae078, KafkaV2[SubscribePattern[stress.*]], {"stress5":{"1":5,"0":4},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}, {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}
== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- SerializeFromObject [input[0, int, false] AS value#14764]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14763: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
+- Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
+- StreamingDataSourceV2Relation [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@593ae078, KafkaV2[SubscribePattern[stress.*]], {"stress5":{"1":5,"0":4},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}, {"stress5":{"1":7,"0":7},"stress1":{"2":1,"4":1,"1":1,"3":1,"0":1},"stress4":{"1":2,"0":3},"stress3":{"2":1,"5":1,"4":0,"1":1,"3":1,"0":1},"stress2":{"2":1,"5":1,"4":1,"1":0,"3":1,"0":1}}
== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@29404397
+- *(1) SerializeFromObject [input[0, int, false] AS value#14764]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5896/66377727@71d857e2, obj#14763: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#14762: scala.Tuple2
+- *(1) Project [cast(key#14738 as string) AS key#14752, cast(value#14739 as string) AS value#14753]
+- *(1) Project [key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744]
+- *(1) MicroBatchScan[key#14738, value#14739, topic#14740, partition#14741, offset#14742L, timestamp#14743, timestampType#14744] class org.apache.spark.sql.kafka010.KafkaSourceProvider$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:444)
at org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:592)
at org.apache.spark.sql.streaming.StreamTest.$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: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$1(StreamTest.scala:757)
at org.apache.spark.sql.streaming.StreamTest.testStream(StreamTest.scala:756)
at org.apache.spark.sql.streaming.StreamTest.testStream$(StreamTest.scala:326)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:50)
at org.apache.spark.sql.streaming.StreamTest.runStressTest(StreamTest.scala:868)
at org.apache.spark.sql.streaming.StreamTest.runStressTest$(StreamTest.scala:820)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runStressTest(KafkaMicroBatchSourceSuite.scala:50)
at org.apache.spark.sql.kafka010.KafkaSourceStressSuite.$anonfun$new$137(KafkaMicroBatchSourceSuite.scala:1652)
at scala.runtime.java8.JFunction0$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$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:149)
at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184)
at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:56)
at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:221)
at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:214)
at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:56)
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:56)
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:56)
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)