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$ofRef.map(ArrayOps.scala:198) == Progress == AssertOnQuery(<condition>, ) AddKafkaData(topics = Set(topic-1), data = WrappedArray(1, 2, 3), message = ) CheckAnswer: [2],[3],[4] StopStream StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@4df51385,Map(),null) CheckAnswer: [2],[3],[4] StopStream AddKafkaData(topics = Set(topic-1), data = WrappedArray(4, 5, 6), message = ) StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@753fefa,Map(),null) CheckAnswer: [2],[3],[4],[5],[6],[7] AddKafkaData(topics = Set(topic-1), data = WrappedArray(7, 8), message = ) CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9] AssertOnQuery(<condition>, Add partitions) => AddKafkaData(topics = Set(topic-1), data = WrappedArray(9, 10, 11, 12, 13, 14, 15, 16), message = ) CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17] == Stream == Output Mode: Append Stream state: {KafkaSourceV1[Assign[topic-1-4, topic-1-3, topic-1-2, topic-1-1, topic-1-0]]: {"topic-1":{"2":1,"4":2,"1":3,"3":1,"0":4}}} Thread state: alive Thread stack trace: java.lang.Thread.sleep(Native Method) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:392) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$4833/745818437.apply$mcV$sp(Unknown Source) scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77) org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:385) org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:243) org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$4843/253992816.apply(Unknown Source) org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:353) org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:243) org.apache.spark.sql.kafka010.KafkaSource.getOffset(KafkaSource.scala:154) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$3(MicroBatchExecution.scala:361) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$4828/1453811008.apply(Unknown Source) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326) org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:361) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2067/1039665597.apply(Unknown Source) scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237) scala.collection.TraversableLike$$Lambda$13/388043093.apply(Unknown Source) scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) scala.collection.TraversableLike.map(TraversableLike.scala:237) scala.collection.TraversableLike.map$(TraversableLike.scala:230) scala.collection.AbstractTraversable.map(Traversable.scala:108) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:357) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2066/2076955868.apply$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$$Lambda$2056/1545543643.apply$mcV$sp(Unknown Source) scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328) org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326) org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:181) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2052/1276517170.apply$mcZ$sp(Unknown Source) org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57) org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:175) org.apache.spark.sql.execution.streaming.StreamExecution.org$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] 2: [3] [4] 3: [7] [5] [6] 4: [8] [9] 5: [10] 6: [11] == Plan == == Parsed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545 +- SerializeFromObject [input[0, int, false] AS value#2194] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#2193: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2 +- Project [cast(key#2168 as string) AS key#2182, cast(value#2169 as string) AS value#2183] +- Project [key#2461 AS key#2168, value#2462 AS value#2169, topic#2463 AS topic#2170, partition#2464 AS partition#2171, offset#2465L AS offset#2172L, timestamp#2466 AS timestamp#2173, timestampType#2467 AS timestampType#2174] +- LogicalRDD [key#2461, value#2462, topic#2463, partition#2464, offset#2465L, timestamp#2466, timestampType#2467], true == Analyzed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545 +- SerializeFromObject [input[0, int, false] AS value#2194] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#2193: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2 +- Project [cast(key#2168 as string) AS key#2182, cast(value#2169 as string) AS value#2183] +- Project [key#2461 AS key#2168, value#2462 AS value#2169, topic#2463 AS topic#2170, partition#2464 AS partition#2171, offset#2465L AS offset#2172L, timestamp#2466 AS timestamp#2173, timestampType#2467 AS timestampType#2174] +- LogicalRDD [key#2461, value#2462, topic#2463, partition#2464, offset#2465L, timestamp#2466, timestampType#2467], true == Optimized Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545 +- SerializeFromObject [input[0, int, false] AS value#2194] +- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#2193: int +- DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2 +- Project [cast(key#2461 as string) AS key#2182, cast(value#2462 as string) AS value#2183] +- LogicalRDD [key#2461, value#2462, topic#2463, partition#2464, offset#2465L, timestamp#2466, timestampType#2467], true == Physical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545 +- *(1) SerializeFromObject [input[0, int, false] AS value#2194] +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, obj#2193: int +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2 +- *(1) Project [cast(key#2461 as string) AS key#2182, cast(value#2462 as string) AS value#2183] +- *(1) Scan ExistingRDD kafka[key#2461,value#2462,topic#2463,partition#2464,offset#2465L,timestamp#2466,timestampType#2467]
sbt.ForkMain$ForkError: 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$ofRef.map(ArrayOps.scala:198)
== Progress ==
AssertOnQuery(<condition>, )
AddKafkaData(topics = Set(topic-1), data = WrappedArray(1, 2, 3), message = )
CheckAnswer: [2],[3],[4]
StopStream
StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@4df51385,Map(),null)
CheckAnswer: [2],[3],[4]
StopStream
AddKafkaData(topics = Set(topic-1), data = WrappedArray(4, 5, 6), message = )
StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@753fefa,Map(),null)
CheckAnswer: [2],[3],[4],[5],[6],[7]
AddKafkaData(topics = Set(topic-1), data = WrappedArray(7, 8), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9]
AssertOnQuery(<condition>, Add partitions)
=> AddKafkaData(topics = Set(topic-1), data = WrappedArray(9, 10, 11, 12, 13, 14, 15, 16), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17]
== Stream ==
Output Mode: Append
Stream state: {KafkaSourceV1[Assign[topic-1-4, topic-1-3, topic-1-2, topic-1-1, topic-1-0]]: {"topic-1":{"2":1,"4":2,"1":3,"3":1,"0":4}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$withRetriesWithoutInterrupt$1(KafkaOffsetReader.scala:392)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$4833/745818437.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
org.apache.spark.sql.kafka010.KafkaOffsetReader.withRetriesWithoutInterrupt(KafkaOffsetReader.scala:385)
org.apache.spark.sql.kafka010.KafkaOffsetReader.$anonfun$fetchLatestOffsets$1(KafkaOffsetReader.scala:243)
org.apache.spark.sql.kafka010.KafkaOffsetReader$$Lambda$4843/253992816.apply(Unknown Source)
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:353)
org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:243)
org.apache.spark.sql.kafka010.KafkaSource.getOffset(KafkaSource.scala:154)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$3(MicroBatchExecution.scala:361)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$4828/1453811008.apply(Unknown Source)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$2(MicroBatchExecution.scala:361)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2067/1039665597.apply(Unknown Source)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
scala.collection.TraversableLike$$Lambda$13/388043093.apply(Unknown Source)
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
scala.collection.TraversableLike.map(TraversableLike.scala:237)
scala.collection.TraversableLike.map$(TraversableLike.scala:230)
scala.collection.AbstractTraversable.map(Traversable.scala:108)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$constructNextBatch$1(MicroBatchExecution.scala:357)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2066/2076955868.apply$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$$Lambda$2056/1545543643.apply$mcV$sp(Unknown Source)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:328)
org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:326)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:181)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2052/1276517170.apply$mcZ$sp(Unknown Source)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:175)
org.apache.spark.sql.execution.streaming.StreamExecution.org$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]
2: [3] [4]
3: [7] [5] [6]
4: [8] [9]
5: [10]
6: [11]
== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545
+- SerializeFromObject [input[0, int, false] AS value#2194]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#2193: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2
+- Project [cast(key#2168 as string) AS key#2182, cast(value#2169 as string) AS value#2183]
+- Project [key#2461 AS key#2168, value#2462 AS value#2169, topic#2463 AS topic#2170, partition#2464 AS partition#2171, offset#2465L AS offset#2172L, timestamp#2466 AS timestamp#2173, timestampType#2467 AS timestampType#2174]
+- LogicalRDD [key#2461, value#2462, topic#2463, partition#2464, offset#2465L, timestamp#2466, timestampType#2467], true
== Analyzed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545
+- SerializeFromObject [input[0, int, false] AS value#2194]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#2193: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2
+- Project [cast(key#2168 as string) AS key#2182, cast(value#2169 as string) AS value#2183]
+- Project [key#2461 AS key#2168, value#2462 AS value#2169, topic#2463 AS topic#2170, partition#2464 AS partition#2171, offset#2465L AS offset#2172L, timestamp#2466 AS timestamp#2173, timestampType#2467 AS timestampType#2174]
+- LogicalRDD [key#2461, value#2462, topic#2463, partition#2464, offset#2465L, timestamp#2466, timestampType#2467], true
== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545
+- SerializeFromObject [input[0, int, false] AS value#2194]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#2193: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2
+- Project [cast(key#2461 as string) AS key#2182, cast(value#2462 as string) AS value#2183]
+- LogicalRDD [key#2461, value#2462, topic#2463, partition#2464, offset#2465L, timestamp#2466, timestampType#2467], true
== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@660d5545
+- *(1) SerializeFromObject [input[0, int, false] AS value#2194]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceSuiteBase$$Lambda$5545/1952615767@16b4d7c2, obj#2193: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#2192: scala.Tuple2
+- *(1) Project [cast(key#2461 as string) AS key#2182, cast(value#2462 as string) AS value#2183]
+- *(1) Scan ExistingRDD kafka[key#2461,value#2462,topic#2463,partition#2464,offset#2465L,timestamp#2466,timestampType#2467]
at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.Assertions.newAssertionFailedException$(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:1489)
at org.apache.spark.sql.kafka010.KafkaSourceSuiteBase.$anonfun$new$113(KafkaMicroBatchSourceSuite.scala:1201)
at scala.runtime.java8.JFunction0$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.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:314)
at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:507)
at sbt.ForkMain$Run$2.call(ForkMain.java:296)
at sbt.ForkMain$Run$2.call(ForkMain.java:286)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)