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$4(KafkaTestUtils.scala:268)
 scala.collection.TraversableLike.$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-1), data = WrappedArray(1, 2, 3), message = )
 CheckAnswer: [2],[3],[4]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@65129082,Map(),null)
 CheckAnswer: [2],[3],[4]
 StopStream
 AddKafkaData(topics = Set(topic-1), data = WrappedArray(4, 5, 6), message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@56194a70,Map(),null)
 CheckAnswer: [2],[3],[4],[5],[6],[7]
=> AddKafkaData(topics = Set(topic-1), data = WrappedArray(7, 8), message = )
 CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
 AssertOnQuery(<condition>, Add partitions)
 AddKafkaData(topics = Set(topic-1), 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: {KafkaSourceV1[Assign[topic-1-4, topic-1-3, topic-1-2, topic-1-1, topic-1-0]]: {"topic-1":{"2":1,"4":3,"1":1,"3":1,"0":1}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:364)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2289/1617161186.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:357)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:215)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2287/957125985.apply(Unknown Source)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:325)
org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:215)
org.apache.spark.sql.kafka010.KafkaSource.getOffset(KafkaSource.scala:154)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$3(MicroBatchExecution.scala:361)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$5443/183558258.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:361)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2279/797878353.apply(Unknown Source)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
scala.collection.TraversableLike$$Lambda$69/1885996206.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
scala.collection.TraversableLike.map(TraversableLike.scala:237)
scala.collection.TraversableLike.map$(TraversableLike.scala:230)
scala.collection.AbstractTraversable.map(Traversable.scala:108)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:357)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2278/356403596.apply$mcZ$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:579)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.constructNextBatch(MicroBatchExecution.scala:353)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:198)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2268/2078356621.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:181)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2265/665156829.apply$mcZ$sp(Unknown Source)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:175)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)


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


== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- SerializeFromObject [input[0, int, false] AS value#5257]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5256: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
 +- Project [cast(key#5231 as string) AS key#5245, cast(value#5232 as string) AS value#5246]
 +- Project [key#5419 AS key#5231, value#5420 AS value#5232, topic#5421 AS topic#5233, partition#5422 AS partition#5234, offset#5423L AS offset#5235L, timestamp#5424 AS timestamp#5236, timestampType#5425 AS timestampType#5237]
 +- LogicalRDD [key#5419, value#5420, topic#5421, partition#5422, offset#5423L, timestamp#5424, timestampType#5425], true

== Analyzed Logical Plan ==

WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- SerializeFromObject [input[0, int, false] AS value#5257]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5256: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
 +- Project [cast(key#5231 as string) AS key#5245, cast(value#5232 as string) AS value#5246]
 +- Project [key#5419 AS key#5231, value#5420 AS value#5232, topic#5421 AS topic#5233, partition#5422 AS partition#5234, offset#5423L AS offset#5235L, timestamp#5424 AS timestamp#5236, timestampType#5425 AS timestampType#5237]
 +- LogicalRDD [key#5419, value#5420, topic#5421, partition#5422, offset#5423L, timestamp#5424, timestampType#5425], true

== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- SerializeFromObject [input[0, int, false] AS value#5257]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5256: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
 +- Project [cast(key#5419 as string) AS key#5245, cast(value#5420 as string) AS value#5246]
 +- LogicalRDD [key#5419, value#5420, topic#5421, partition#5422, offset#5423L, timestamp#5424, timestampType#5425], true

== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- *(1) SerializeFromObject [input[0, int, false] AS value#5257]
 +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, obj#5256: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
 +- *(1) Project [cast(key#5419 as string) AS key#5245, cast(value#5420 as string) AS value#5246]
 +- *(1) Scan ExistingRDD kafka[key#5419,value#5420,topic#5421,partition#5422,offset#5423L,timestamp#5424,timestampType#5425]

 

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$4(KafkaTestUtils.scala:268)
scala.collection.TraversableLike.$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$ofRef.map(ArrayOps.scala:198)
== Progress ==
AssertOnQuery(<condition>, )
AddKafkaData(topics = Set(topic-1), data = WrappedArray(1, 2, 3), message = )
CheckAnswer: [2],[3],[4]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@65129082,Map(),null)
CheckAnswer: [2],[3],[4]
StopStream
AddKafkaData(topics = Set(topic-1), data = WrappedArray(4, 5, 6), message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@56194a70,Map(),null)
CheckAnswer: [2],[3],[4],[5],[6],[7]
=> AddKafkaData(topics = Set(topic-1), data = WrappedArray(7, 8), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
AssertOnQuery(<condition>, Add partitions)
AddKafkaData(topics = Set(topic-1), data = WrappedArray(9, 10, 11, 12, 13, 14, 15, 16), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17]
== Stream ==
Output Mode: Append
Stream state: {KafkaSourceV1[Assign[topic-1-4, topic-1-3, topic-1-2, topic-1-1, topic-1-0]]: {"topic-1":{"2":1,"4":3,"1":1,"3":1,"0":1}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:364)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2289/1617161186.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:357)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:215)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$2287/957125985.apply(Unknown Source)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:325)
org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:215)
org.apache.spark.sql.kafka010.KafkaSource.getOffset(KafkaSource.scala:154)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$3(MicroBatchExecution.scala:361)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$5443/183558258.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:361)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2279/797878353.apply(Unknown Source)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
scala.collection.TraversableLike$$Lambda$69/1885996206.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
scala.collection.TraversableLike.map(TraversableLike.scala:237)
scala.collection.TraversableLike.map$(TraversableLike.scala:230)
scala.collection.AbstractTraversable.map(Traversable.scala:108)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:357)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2278/356403596.apply$mcZ$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:579)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.constructNextBatch(MicroBatchExecution.scala:353)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:198)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2268/2078356621.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:181)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2265/665156829.apply$mcZ$sp(Unknown Source)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:175)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
== Sink ==
0:
1: [2] [3]
2: [4]
3: [7] [6] [5]
== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- SerializeFromObject [input[0, int, false] AS value#5257]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5256: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
+- Project [cast(key#5231 as string) AS key#5245, cast(value#5232 as string) AS value#5246]
+- Project [key#5419 AS key#5231, value#5420 AS value#5232, topic#5421 AS topic#5233, partition#5422 AS partition#5234, offset#5423L AS offset#5235L, timestamp#5424 AS timestamp#5236, timestampType#5425 AS timestampType#5237]
+- LogicalRDD [key#5419, value#5420, topic#5421, partition#5422, offset#5423L, timestamp#5424, timestampType#5425], true
== Analyzed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- SerializeFromObject [input[0, int, false] AS value#5257]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5256: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
+- Project [cast(key#5231 as string) AS key#5245, cast(value#5232 as string) AS value#5246]
+- Project [key#5419 AS key#5231, value#5420 AS value#5232, topic#5421 AS topic#5233, partition#5422 AS partition#5234, offset#5423L AS offset#5235L, timestamp#5424 AS timestamp#5236, timestampType#5425 AS timestampType#5237]
+- LogicalRDD [key#5419, value#5420, topic#5421, partition#5422, offset#5423L, timestamp#5424, timestampType#5425], true
== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- SerializeFromObject [input[0, int, false] AS value#5257]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#5256: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
+- Project [cast(key#5419 as string) AS key#5245, cast(value#5420 as string) AS value#5246]
+- LogicalRDD [key#5419, value#5420, topic#5421, partition#5422, offset#5423L, timestamp#5424, timestampType#5425], true
== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@5217192
+- *(1) SerializeFromObject [input[0, int, false] AS value#5257]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$3318/1043907698@486e0438, obj#5256: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#5255: scala.Tuple2
+- *(1) Project [cast(key#5419 as string) AS key#5245, cast(value#5420 as string) AS value#5246]
+- *(1) Scan ExistingRDD kafka[key#5419,value#5420,topic#5421,partition#5422,offset#5423L,timestamp#5424,timestampType#5425]
at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.Assertions.newAssertionFailedException$(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$1(StreamTest.scala:716)
at org.apache.spark.sql.streaming.StreamTest.$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$114(KafkaMicroBatchSourceSuite.scala:1187)
at scala.runtime.java8.JFunction0$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)