Error adding data: Timeout after waiting for 10000 ms.
org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:78)
 org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:30)
 org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$sendMessages$4(KafkaTestUtils.scala:269)
 scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
 scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
 scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
 scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
 scala.collection.TraversableLike.map(TraversableLike.scala:237)
 scala.collection.TraversableLike.map$(TraversableLike.scala:230)
 scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)


== Progress ==
 AssertOnQuery(<condition>, )
 AddKafkaData(topics = Set(topic-33), data = WrappedArray(1, 2), message = )
 CheckAnswer: [1,1,1],[2,2,2]
=> AddKafkaData(topics = Set(topic-33), data = WrappedArray(6, 3), message = )
 CheckAnswer: [1,1,1],[2,2,2],[3,3,3],[1,6,1],[1,1,6],[1,6,6]
 AssertOnQuery(<condition>, )

== Stream ==
Output Mode: Append
Stream state: {KafkaV2[Subscribe[topic-33]]: {"topic-33":{"1":3,"0":3}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:366)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2233/438734293.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:359)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:217)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2231/2095874433.apply(Unknown Source)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:327)
org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:217)
org.apache.spark.sql.kafka010.KafkaMicroBatchStream.latestOffset(KafkaMicroBatchStream.scala:86)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$4(MicroBatchExecution.scala:366)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2224/993060437.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:362)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2223/90001842.apply(Unknown Source)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
scala.collection.TraversableLike$$Lambda$69/1134612201.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
scala.collection.TraversableLike.map(TraversableLike.scala:237)
scala.collection.TraversableLike.map$(TraversableLike.scala:230)
scala.collection.AbstractTraversable.map(Traversable.scala:108)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:354)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2222/1008503592.apply$mcZ$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:577)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.constructNextBatch(MicroBatchExecution.scala:350)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:195)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2211/144160397.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:178)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2209/1209233636.apply$mcZ$sp(Unknown Source)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:172)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:331)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:243)


== Sink ==
0: 
1: [1,1,1]
2: [2,2,2]


== Plan ==
== Parsed Logical Plan ==
Project [key#2256, value#2255, value#2259]
+- Join Inner, (key#2256 = key#2260)
 :- Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
 : +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
 +- Project [cast(cast(value#2242 as string) as int) AS value#2259, (cast(cast(value#2242 as string) as int) % 5) AS key#2260]
 +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}

== Analyzed Logical Plan ==
key: int, value: int, value: int
Project [key#2256, value#2255, value#2259]
+- Join Inner, (key#2256 = key#2260)
 :- Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
 : +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
 +- Project [cast(cast(value#2242 as string) as int) AS value#2259, (cast(cast(value#2242 as string) as int) % 5) AS key#2260]
 +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}

== Optimized Logical Plan ==
Project [key#2256, value#2255, value#2259]
+- Join Inner, (key#2256 = key#2260)
 :- Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
 : +- Filter isnotnull((cast(cast(value#2242 as string) as int) % 5))
 : +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
 +- Project [cast(cast(value#2242 as string) as int) AS value#2259, (cast(cast(value#2242 as string) as int) % 5) AS key#2260]
 +- Filter isnotnull((cast(cast(value#2242 as string) as int) % 5))
 +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}

== Physical Plan ==
*(3) Project [key#2256, value#2255, value#2259]
+- StreamingSymmetricHashJoin [key#2256], [key#2260], Inner, condition = [ leftOnly = null, rightOnly = null, both = null, full = null ], state info [ checkpoint = file:/home/jenkins/workspace/spark-master-test-maven-hadoop-2.7-ubuntu-testing@2/external/kafka-0-10-sql/target/tmp/streaming.metadata-94dca468-c51e-49da-9eb7-6242b29138b7/state, runId = ab6947a3-1c97-4b2d-97b7-d08e24052e74, opId = 0, ver = 2, numPartitions = 5], 0, state cleanup [ left = null, right = null ]
 :- Exchange hashpartitioning(key#2256, 5)
 : +- *(1) Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
 : +- *(1) Filter isnotnull((cast(cast(value#2242 as string) as int) % 5))
 : +- *(1) Project [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247]
 : +- *(1) MicroBatchScan[key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan
 +- ReusedExchange [value#2259, key#2260], Exchange hashpartitioning(key#2256, 5)

 

org.scalatest.exceptions.TestFailedException:
Error adding data: Timeout after waiting for 10000 ms.
org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:78)
org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:30)
org.apache.spark.sql.kafka010.KafkaTestUtils.$anonfun$sendMessages$4(KafkaTestUtils.scala:269)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
scala.collection.TraversableLike.map(TraversableLike.scala:237)
scala.collection.TraversableLike.map$(TraversableLike.scala:230)
scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
== Progress ==
AssertOnQuery(<condition>, )
AddKafkaData(topics = Set(topic-33), data = WrappedArray(1, 2), message = )
CheckAnswer: [1,1,1],[2,2,2]
=> AddKafkaData(topics = Set(topic-33), data = WrappedArray(6, 3), message = )
CheckAnswer: [1,1,1],[2,2,2],[3,3,3],[1,6,1],[1,1,6],[1,6,6]
AssertOnQuery(<condition>, )
== Stream ==
Output Mode: Append
Stream state: {KafkaV2[Subscribe[topic-33]]: {"topic-33":{"1":3,"0":3}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:366)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2233/438734293.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:359)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:217)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2231/2095874433.apply(Unknown Source)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:327)
org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:217)
org.apache.spark.sql.kafka010.KafkaMicroBatchStream.latestOffset(KafkaMicroBatchStream.scala:86)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$4(MicroBatchExecution.scala:366)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2224/993060437.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:362)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2223/90001842.apply(Unknown Source)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
scala.collection.TraversableLike$$Lambda$69/1134612201.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
scala.collection.TraversableLike.map(TraversableLike.scala:237)
scala.collection.TraversableLike.map$(TraversableLike.scala:230)
scala.collection.AbstractTraversable.map(Traversable.scala:108)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:354)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2222/1008503592.apply$mcZ$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:577)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.constructNextBatch(MicroBatchExecution.scala:350)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:195)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2211/144160397.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:327)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:325)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:178)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2209/1209233636.apply$mcZ$sp(Unknown Source)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:172)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:331)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:243)
== Sink ==
0:
1: [1,1,1]
2: [2,2,2]
== Plan ==
== Parsed Logical Plan ==
Project [key#2256, value#2255, value#2259]
+- Join Inner, (key#2256 = key#2260)
:- Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
: +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
+- Project [cast(cast(value#2242 as string) as int) AS value#2259, (cast(cast(value#2242 as string) as int) % 5) AS key#2260]
+- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
== Analyzed Logical Plan ==
key: int, value: int, value: int
Project [key#2256, value#2255, value#2259]
+- Join Inner, (key#2256 = key#2260)
:- Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
: +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
+- Project [cast(cast(value#2242 as string) as int) AS value#2259, (cast(cast(value#2242 as string) as int) % 5) AS key#2260]
+- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
== Optimized Logical Plan ==
Project [key#2256, value#2255, value#2259]
+- Join Inner, (key#2256 = key#2260)
:- Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
: +- Filter isnotnull((cast(cast(value#2242 as string) as int) % 5))
: +- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
+- Project [cast(cast(value#2242 as string) as int) AS value#2259, (cast(cast(value#2242 as string) as int) % 5) AS key#2260]
+- Filter isnotnull((cast(cast(value#2242 as string) as int) % 5))
+- StreamingDataSourceV2Relation [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@6ace2fee, KafkaV2[Subscribe[topic-33]], {"topic-33":{"1":2,"0":3}}, {"topic-33":{"1":3,"0":3}}
== Physical Plan ==
*(3) Project [key#2256, value#2255, value#2259]
+- StreamingSymmetricHashJoin [key#2256], [key#2260], Inner, condition = [ leftOnly = null, rightOnly = null, both = null, full = null ], state info [ checkpoint = file:/home/jenkins/workspace/spark-master-test-maven-hadoop-2.7-ubuntu-testing@2/external/kafka-0-10-sql/target/tmp/streaming.metadata-94dca468-c51e-49da-9eb7-6242b29138b7/state, runId = ab6947a3-1c97-4b2d-97b7-d08e24052e74, opId = 0, ver = 2, numPartitions = 5], 0, state cleanup [ left = null, right = null ]
:- Exchange hashpartitioning(key#2256, 5)
: +- *(1) Project [cast(cast(value#2242 as string) as int) AS value#2255, (cast(cast(value#2242 as string) as int) % 5) AS key#2256]
: +- *(1) Filter isnotnull((cast(cast(value#2242 as string) as int) % 5))
: +- *(1) Project [key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247]
: +- *(1) MicroBatchScan[key#2241, value#2242, topic#2243, partition#2244, offset#2245L, timestamp#2246, timestampType#2247] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan
+- ReusedExchange [value#2259, key#2260], Exchange hashpartitioning(key#2256, 5)
at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:527)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
at org.scalatest.Assertions.fail(Assertions.scala:1089)
at org.scalatest.Assertions.fail$(Assertions.scala:1085)
at org.scalatest.FunSuite.fail(FunSuite.scala:1560)
at org.apache.spark.sql.streaming.StreamTest.failTest$1(StreamTest.scala:452)
at org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:724)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:778)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56$adapted(StreamTest.scala:765)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.sql.streaming.StreamTest.liftedTree1$1(StreamTest.scala:765)
at org.apache.spark.sql.streaming.StreamTest.testStream(StreamTest.scala:764)
at org.apache.spark.sql.streaming.StreamTest.testStream$(StreamTest.scala:328)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.kafka010.KafkaMicroBatchSourceSuiteBase.checkQuery$1(KafkaMicroBatchSourceSuite.scala:724)
at org.apache.spark.sql.kafka010.KafkaMicroBatchSourceSuiteBase.$anonfun$new$55(KafkaMicroBatchSourceSuite.scala:738)
at org.apache.spark.sql.catalyst.plans.SQLHelper.withSQLConf(SQLHelper.scala:47)
at org.apache.spark.sql.catalyst.plans.SQLHelper.withSQLConf$(SQLHelper.scala:31)
at org.apache.spark.sql.kafka010.KafkaSourceTest.org$apache$spark$sql$test$SQLTestUtilsBase$$super$withSQLConf(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.test.SQLTestUtilsBase.withSQLConf(SQLTestUtils.scala:230)
at org.apache.spark.sql.test.SQLTestUtilsBase.withSQLConf$(SQLTestUtils.scala:228)
at org.apache.spark.sql.kafka010.KafkaSourceTest.withSQLConf(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.kafka010.KafkaMicroBatchSourceSuiteBase.$anonfun$new$51(KafkaMicroBatchSourceSuite.scala:738)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:105)
at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184)
at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178)
at org.apache.spark.sql.kafka010.KafkaSourceTest.org$scalatest$BeforeAndAfterEach$$super$runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:221)
at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:214)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:396)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite.run(Suite.scala:1147)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike.$anonfun$run$1(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike.run(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike.run$(FunSuiteLike.scala:232)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:54)
at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:54)
at org.scalatest.Suite.callExecuteOnSuite$1(Suite.scala:1210)
at org.scalatest.Suite.$anonfun$runNestedSuites$1(Suite.scala:1257)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at org.scalatest.Suite.runNestedSuites(Suite.scala:1255)
at org.scalatest.Suite.runNestedSuites$(Suite.scala:1189)
at org.scalatest.tools.DiscoverySuite.runNestedSuites(DiscoverySuite.scala:30)
at org.scalatest.Suite.run(Suite.scala:1144)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.tools.DiscoverySuite.run(DiscoverySuite.scala:30)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13(Runner.scala:1346)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1340)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1340)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:1031)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:1010)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1506)
at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
at org.scalatest.tools.Runner$.main(Runner.scala:827)
at org.scalatest.tools.Runner.main(Runner.scala)