Timed out waiting for stream: The code passed to failAfter did not complete within 30 seconds.
java.base/java.lang.Thread.getStackTrace(Thread.java:1606)
 org.scalatest.concurrent.TimeLimits.failAfterImpl(TimeLimits.scala:234)
 org.scalatest.concurrent.TimeLimits.failAfterImpl$(TimeLimits.scala:233)
 org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:49)
 org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)
 org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:229)
 org.apache.spark.sql.kafka010.KafkaSourceTest.failAfter(KafkaMicroBatchSourceSuite.scala:49)
 org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$7(StreamTest.scala:472)
 org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$7$adapted(StreamTest.scala:471)
 scala.collection.mutable.HashMap.$anonfun$foreach$1(HashMap.scala:149)

 Caused by: null
 java.base/java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.reportInterruptAfterWait(AbstractQueuedSynchronizer.java:2056)
 java.base/java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2221)
 org.apache.spark.sql.execution.streaming.StreamExecution.processAllAvailable(StreamExecution.scala:459)
 org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$8(StreamTest.scala:476)
 scala.runtime.java8.JFunction0$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:49)
 org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)


== 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@6e47650f,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@671ac8d8,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":1,"4":2,"1":1,"3":2,"0":2}}}
Thread state: alive
Thread stack trace: java.base@11.0.1/jdk.internal.misc.Unsafe.park(Native Method)
java.base@11.0.1/java.util.concurrent.locks.LockSupport.park(LockSupport.java:194)
java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:885)
java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1039)
java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1345)
app//scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:242)
app//scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:258)
app//scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:187)
app//org.apache.spark.util.ThreadUtils$.awaitReady(ThreadUtils.scala:243)
app//org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:732)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2008)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2073)
app//org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:959)
app//org.apache.spark.rdd.RDD$$Lambda$2804/0x000000080121d040.apply(Unknown Source)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
app//org.apache.spark.rdd.RDD.withScope(RDD.scala:364)
app//org.apache.spark.rdd.RDD.collect(RDD.scala:958)
app//org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:53)
app//org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:131)
app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2638/0x0000000801143040.apply(Unknown Source)
app//org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2655/0x0000000801189440.apply(Unknown Source)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
app//org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
app//org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
app//org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:89)
app//org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:89)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:277)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5106/0x0000000801989c40.apply(Unknown Source)
app//org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
app//org.apache.spark.sql.execution.SQLExecution$$$Lambda$2561/0x00000008010e5c40.apply(Unknown Source)
app//org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:147)
app//org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:74)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:273)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5104/0x0000000801989440.apply(Unknown Source)
app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:325)
app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:323)
app//org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:60)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:273)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:93)
app//org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:286)
app//org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:198)


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


== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@27c60e1a
+- SerializeFromObject [input[0, int, false] AS value#13587]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#13586: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
 +- Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
 +- Streaming RelationV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (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@27c60e1a
+- SerializeFromObject [input[0, int, false] AS value#13587]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#13586: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
 +- Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
 +- Streaming RelationV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (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@27c60e1a
+- SerializeFromObject [input[0, int, false] AS value#13587]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#13586: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
 +- Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
 +- Streaming RelationV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (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@27c60e1a
+- *(1) SerializeFromObject [input[0, int, false] AS value#13587]
 +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, obj#13586: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
 +- *(1) Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
 +- *(1) Project [key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751]
 +- *(1) ScanV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)

 

org.scalatest.exceptions.TestFailedException:
Timed out waiting for stream: The code passed to failAfter did not complete within 30 seconds.
java.base/java.lang.Thread.getStackTrace(Thread.java:1606)
org.scalatest.concurrent.TimeLimits.failAfterImpl(TimeLimits.scala:234)
org.scalatest.concurrent.TimeLimits.failAfterImpl$(TimeLimits.scala:233)
org.apache.spark.sql.kafka010.KafkaSourceTest.failAfterImpl(KafkaMicroBatchSourceSuite.scala:49)
org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)
org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:229)
org.apache.spark.sql.kafka010.KafkaSourceTest.failAfter(KafkaMicroBatchSourceSuite.scala:49)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$7(StreamTest.scala:472)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$7$adapted(StreamTest.scala:471)
scala.collection.mutable.HashMap.$anonfun$foreach$1(HashMap.scala:149)
Caused by: null
java.base/java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.reportInterruptAfterWait(AbstractQueuedSynchronizer.java:2056)
java.base/java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2221)
org.apache.spark.sql.execution.streaming.StreamExecution.processAllAvailable(StreamExecution.scala:459)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$8(StreamTest.scala:476)
scala.runtime.java8.JFunction0$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:49)
org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:230)
== 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@6e47650f,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@671ac8d8,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":1,"4":2,"1":1,"3":2,"0":2}}}
Thread state: alive
Thread stack trace: java.base@11.0.1/jdk.internal.misc.Unsafe.park(Native Method)
java.base@11.0.1/java.util.concurrent.locks.LockSupport.park(LockSupport.java:194)
java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:885)
java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1039)
java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1345)
app//scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:242)
app//scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:258)
app//scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:187)
app//org.apache.spark.util.ThreadUtils$.awaitReady(ThreadUtils.scala:243)
app//org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:732)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2008)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2073)
app//org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:959)
app//org.apache.spark.rdd.RDD$$Lambda$2804/0x000000080121d040.apply(Unknown Source)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
app//org.apache.spark.rdd.RDD.withScope(RDD.scala:364)
app//org.apache.spark.rdd.RDD.collect(RDD.scala:958)
app//org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:53)
app//org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:131)
app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2638/0x0000000801143040.apply(Unknown Source)
app//org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2655/0x0000000801189440.apply(Unknown Source)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
app//org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
app//org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
app//org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:89)
app//org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:89)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:277)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5106/0x0000000801989c40.apply(Unknown Source)
app//org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
app//org.apache.spark.sql.execution.SQLExecution$$$Lambda$2561/0x00000008010e5c40.apply(Unknown Source)
app//org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:147)
app//org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:74)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:273)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5104/0x0000000801989440.apply(Unknown Source)
app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:325)
app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:323)
app//org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:60)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:273)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:93)
app//org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:286)
app//org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:198)
== Sink ==
0:
1: [2] [5] [4] [7] [3] [6]
2:
3:
4:
5: [8] [9]
== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@27c60e1a
+- SerializeFromObject [input[0, int, false] AS value#13587]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#13586: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
+- Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
+- Streaming RelationV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (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@27c60e1a
+- SerializeFromObject [input[0, int, false] AS value#13587]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#13586: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
+- Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
+- Streaming RelationV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (Options: [kafka.metadata.max.age.ms=1,subscribe=topic-5,failOnDataLoss=true,kafka.bootstrap.servers=127.0....)
== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@27c60e1a
+- SerializeFromObject [input[0, int, false] AS value#13587]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#13586: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
+- Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
+- Streaming RelationV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (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@27c60e1a
+- *(1) SerializeFromObject [input[0, int, false] AS value#13587]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3486/0x0000000801482040@309f188, obj#13586: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#13585: scala.Tuple2
+- *(1) Project [cast(key#13745 as string) AS key#13575, cast(value#13746 as string) AS value#13576]
+- *(1) Project [key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751]
+- *(1) ScanV2 kafka[key#13745, value#13746, topic#13747, partition#13748, offset#13749L, timestamp#13750, timestampType#13751] (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:453)
at org.apache.spark.sql.streaming.StreamTest.liftedTree1$1(StreamTest.scala:783)
at org.apache.spark.sql.streaming.StreamTest.testStream(StreamTest.scala:759)
at org.apache.spark.sql.streaming.StreamTest.testStream$(StreamTest.scala:329)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.testFromEarliestOffsets(KafkaMicroBatchSourceSuite.scala:1472)
at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.$anonfun$new$110(KafkaMicroBatchSourceSuite.scala:1179)
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)