&#010;Assert on query failed: Add partitions: The code passed to eventually never returned normally. Attempted 3959 times over 1.00004800995 minutes. Last failure message: assertion failed: Partition [topic-4, 5] metadata not propagated after timeout.&#010;org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:432)&#010; org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)&#010; org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)&#010; org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)&#010; org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)&#010; org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)&#010; org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)&#010; org.apache.spark.sql.kafka010.KafkaTestUtils.waitUntilMetadataIsPropagated(KafkaTestUtils.scala:441)&#010; org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$addPartitions$1(KafkaTestUtils.scala:235)&#010; scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:158)&#010;&#010; Caused by: assertion failed: Partition [topic-4, 5] metadata not propagated after timeout&#010; scala.Predef$.assert(Predef.scala:223)&#010; org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$waitUntilMetadataIsPropagated$1(KafkaTestUtils.scala:442)&#010; scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)&#010; org.scalatest.concurrent.Eventually.makeAValiantAttempt$1(Eventually.scala:395)&#010; org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:409)&#010; org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)&#010; org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)&#010; org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)&#010; org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)&#010; org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)&#010;&#010;&#010;== Progress ==&#010; AssertOnQuery(<condition>, )&#010; AddKafkaData(topics = Set(topic-4), data = WrappedArray(1, 2, 3), message = )&#010; CheckAnswer: [2],[3],[4]&#010; StopStream&#010; StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@2ce1587,Map(),null)&#010; CheckAnswer: [2],[3],[4]&#010; StopStream&#010; AddKafkaData(topics = Set(topic-4), data = WrappedArray(4, 5, 6), message = )&#010; StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@27de9a70,Map(),null)&#010; CheckAnswer: [2],[3],[4],[5],[6],[7]&#010; AddKafkaData(topics = Set(topic-4), data = WrappedArray(7, 8), message = )&#010; CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]&#010;=> AssertOnQuery(<condition>, Add partitions)&#010; AddKafkaData(topics = Set(topic-4), data = WrappedArray(9, 10, 11, 12, 13, 14, 15, 16), message = )&#010; CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17]&#010;&#010;== Stream ==&#010;Output Mode: Append&#010;Stream state: {KafkaSource[Subscribe[topic-4]]: {"topic-4":{"2":2,"4":1,"1":2,"3":1,"0":3}}}&#010;Thread state: alive&#010;Thread stack trace: java.base@11.0.1/jdk.internal.misc.Unsafe.park(Native Method)&#010;java.base@11.0.1/java.util.concurrent.locks.LockSupport.park(LockSupport.java:194)&#010;java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:885)&#010;java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1039)&#010;java.base@11.0.1/java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1345)&#010;app//scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:242)&#010;app//scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:258)&#010;app//scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:187)&#010;app//org.apache.spark.util.ThreadUtils$.awaitReady(ThreadUtils.scala:242)&#010;app//org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:736)&#010;app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)&#010;app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2050)&#010;app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2069)&#010;app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)&#010;app//org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:961)&#010;app//org.apache.spark.rdd.RDD$$Lambda$3266/0x00000008012a7040.apply(Unknown Source)&#010;app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)&#010;app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)&#010;app//org.apache.spark.rdd.RDD.withScope(RDD.scala:366)&#010;app//org.apache.spark.rdd.RDD.collect(RDD.scala:960)&#010;app//org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:54)&#010;app//org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:168)&#010;app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2714/0x0000000801073040.apply(Unknown Source)&#010;app//org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:192)&#010;app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2744/0x00000008010d7c40.apply(Unknown Source)&#010;app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)&#010;app//org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:189)&#010;app//org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:164)&#010;app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:257)&#010;app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5294/0x0000000801917840.apply(Unknown Source)&#010;app//org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)&#010;app//org.apache.spark.sql.execution.SQLExecution$$$Lambda$2647/0x0000000801002840.apply(Unknown Source)&#010;app//org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)&#010;app//org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)&#010;app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:257)&#010;app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5292/0x0000000801917040.apply(Unknown Source)&#010;app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)&#010;app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)&#010;app//org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)&#010;app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:256)&#010;app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:110)&#010;app//org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)&#010;app//org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)&#010;&#010;&#010;== Sink ==&#010;0: &#010;1: [2] [3] [4]&#010;2: &#010;3: &#010;4: &#010;5: [6] [7] [5]&#010;6: &#010;7: [9] [8]&#010;8: &#010;9: &#010;10: &#010;11: &#010;12: &#010;&#010;&#010;== Plan ==&#010;== Parsed Logical Plan ==&#010;WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34&#010;+- SerializeFromObject [input[0, int, false] AS value#16217]&#010; +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#16216: int&#010; +- DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2&#010; +- Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]&#010; +- StreamingDataSourceV2Relation [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@44691cb7, KafkaSource[Subscribe[topic-4]], {"topic-4":{"2":2,"4":0,"1":1,"3":0,"0":1}}&#010;&#010;== Analyzed Logical Plan ==&#010;&#010;WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34&#010;+- SerializeFromObject [input[0, int, false] AS value#16217]&#010; +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#16216: int&#010; +- DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2&#010; +- Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]&#010; +- StreamingDataSourceV2Relation [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@44691cb7, KafkaSource[Subscribe[topic-4]], {"topic-4":{"2":2,"4":0,"1":1,"3":0,"0":1}}&#010;&#010;== Optimized Logical Plan ==&#010;WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34&#010;+- SerializeFromObject [input[0, int, false] AS value#16217]&#010; +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#16216: int&#010; +- DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2&#010; +- Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]&#010; +- StreamingDataSourceV2Relation [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@44691cb7, KafkaSource[Subscribe[topic-4]], {"topic-4":{"2":2,"4":0,"1":1,"3":0,"0":1}}&#010;&#010;== Physical Plan ==&#010;WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34&#010;+- *(1) SerializeFromObject [input[0, int, false] AS value#16217]&#010; +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, obj#16216: int&#010; +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2&#010; +- *(1) Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]&#010; +- *(1) Project [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197]&#010; +- *(1) ContinuousScan[key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan&#010;&#010; &#010;


      org.scalatest.exceptions.TestFailedException: 
Assert on query failed: Add partitions: The code passed to eventually never returned normally. Attempted 3959 times over 1.00004800995 minutes. Last failure message: assertion failed: Partition [topic-4, 5] metadata not propagated after timeout.
org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:432)
	org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)
	org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)
	org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
	org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)
	org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)
	org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
	org.apache.spark.sql.kafka010.KafkaTestUtils.waitUntilMetadataIsPropagated(KafkaTestUtils.scala:441)
	org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$addPartitions$1(KafkaTestUtils.scala:235)
	scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:158)

	Caused by: 	assertion failed: Partition [topic-4, 5] metadata not propagated after timeout
	scala.Predef$.assert(Predef.scala:223)
		org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$waitUntilMetadataIsPropagated$1(KafkaTestUtils.scala:442)
		scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
		org.scalatest.concurrent.Eventually.makeAValiantAttempt$1(Eventually.scala:395)
		org.scalatest.concurrent.Eventually.tryTryAgain$1(Eventually.scala:409)
		org.scalatest.concurrent.Eventually.eventually(Eventually.scala:439)
		org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:391)
		org.scalatest.concurrent.Eventually$.eventually(Eventually.scala:479)
		org.scalatest.concurrent.Eventually.eventually(Eventually.scala:337)
		org.scalatest.concurrent.Eventually.eventually$(Eventually.scala:336)


== Progress ==
   AssertOnQuery(<condition>, )
   AddKafkaData(topics = Set(topic-4), data = WrappedArray(1, 2, 3), message = )
   CheckAnswer: [2],[3],[4]
   StopStream
   StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@2ce1587,Map(),null)
   CheckAnswer: [2],[3],[4]
   StopStream
   AddKafkaData(topics = Set(topic-4), data = WrappedArray(4, 5, 6), message = )
   StartStream(ContinuousTrigger(1000),org.apache.spark.util.SystemClock@27de9a70,Map(),null)
   CheckAnswer: [2],[3],[4],[5],[6],[7]
   AddKafkaData(topics = Set(topic-4), data = WrappedArray(7, 8), message = )
   CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
=> AssertOnQuery(<condition>, Add partitions)
   AddKafkaData(topics = Set(topic-4), 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-4]]: {"topic-4":{"2":2,"4":1,"1":2,"3":1,"0":3}}}
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:242)
app//org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:736)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2050)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2069)
app//org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)
app//org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:961)
app//org.apache.spark.rdd.RDD$$Lambda$3266/0x00000008012a7040.apply(Unknown Source)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
app//org.apache.spark.rdd.RDD.withScope(RDD.scala:366)
app//org.apache.spark.rdd.RDD.collect(RDD.scala:960)
app//org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:54)
app//org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:168)
app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2714/0x0000000801073040.apply(Unknown Source)
app//org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:192)
app//org.apache.spark.sql.execution.SparkPlan$$Lambda$2744/0x00000008010d7c40.apply(Unknown Source)
app//org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
app//org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:189)
app//org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:164)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$4(ContinuousExecution.scala:257)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5294/0x0000000801917840.apply(Unknown Source)
app//org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
app//org.apache.spark.sql.execution.SQLExecution$$$Lambda$2647/0x0000000801002840.apply(Unknown Source)
app//org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
app//org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.$anonfun$runContinuous$3(ContinuousExecution.scala:257)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$Lambda$5292/0x0000000801917040.apply(Unknown Source)
app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)
app//org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)
app//org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:256)
app//org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:110)
app//org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)
app//org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)


== Sink ==
0: 
1: [2] [3] [4]
2: 
3: 
4: 
5: [6] [7] [5]
6: 
7: [9] [8]
8: 
9: 
10: 
11: 
12: 


== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34
+- SerializeFromObject [input[0, int, false] AS value#16217]
   +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#16216: int
      +- DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2
         +- Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]
            +- StreamingDataSourceV2Relation [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@44691cb7, KafkaSource[Subscribe[topic-4]], {"topic-4":{"2":2,"4":0,"1":1,"3":0,"0":1}}

== Analyzed Logical Plan ==

WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34
+- SerializeFromObject [input[0, int, false] AS value#16217]
   +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#16216: int
      +- DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2
         +- Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]
            +- StreamingDataSourceV2Relation [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@44691cb7, KafkaSource[Subscribe[topic-4]], {"topic-4":{"2":2,"4":0,"1":1,"3":0,"0":1}}

== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34
+- SerializeFromObject [input[0, int, false] AS value#16217]
   +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#16216: int
      +- DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2
         +- Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]
            +- StreamingDataSourceV2Relation [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@44691cb7, KafkaSource[Subscribe[topic-4]], {"topic-4":{"2":2,"4":0,"1":1,"3":0,"0":1}}

== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite@67efdd34
+- *(1) SerializeFromObject [input[0, int, false] AS value#16217]
   +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3396/0x0000000801304040@1380ca0c, obj#16216: int
      +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#16215: scala.Tuple2
         +- *(1) Project [cast(key#16191 as string) AS key#16205, cast(value#16192 as string) AS value#16206]
            +- *(1) Project [key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197]
               +- *(1) ContinuousScan[key#16191, value#16192, topic#16193, partition#16194, offset#16195L, timestamp#16196, timestampType#16197] class org.apache.spark.sql.kafka010.KafkaSourceProvider$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$1(StreamTest.scala:646)
      at org.apache.spark.sql.streaming.StreamTest.$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.kafka010.KafkaSourceSuiteBase.testFromLatestOffsets(KafkaMicroBatchSourceSuite.scala:1475)
      at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.$anonfun$new$117(KafkaMicroBatchSourceSuite.scala:1214)
      at scala.runtime.java8.JFunction0$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)