org.scalatest.exceptions.TestFailedException: == Results == !== Correct Answer - 3 == == Spark Answer - 3 == !struct<_1:int,_2:int> struct<_1:int,count:bigint> [1,1] [1,1] ![2,2] [2,1] [3,1] [3,1] == Progress == AddData to MemoryStream[_1#313269,_2#313270]: (1,0),(2,0) StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@6c52493,Map(spark.sql.shuffle.partitions -> 2),null) CheckAnswer: [1,1],[2,1] StopStream AddData to MemoryStream[_1#313269,_2#313270]: (3,0),(2,0) StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@c7e6051,Map(spark.sql.shuffle.partitions -> 5),null) => CheckAnswer: [1,1],[2,2],[3,1] StopStream AddData to MemoryStream[_1#313269,_2#313270]: (3,0),(1,0) StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@6bc30622,Map(spark.sql.shuffle.partitions -> 1),null) CheckAnswer: [1,2],[2,2],[3,2] == Stream == Output Mode: Complete Stream state: {MemoryStream[_1#313269,_2#313270]: 1} Thread state: alive Thread stack trace: java.lang.Thread.sleep(Native Method) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:212) org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56) org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:157) org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279) org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189) == Sink == 1: [2,1] [3,1] [1,1] == Plan == == Parsed Logical Plan == Aggregate [_1#313269], [_1#313269, count(1) AS count#313275L] +- Project [_1#313308 AS _1#313269, _2#313309 AS _2#313270] +- Streaming RelationV2 MemoryStreamDataSource$[_1#313308, _2#313309] == Analyzed Logical Plan == _1: int, count: bigint Aggregate [_1#313269], [_1#313269, count(1) AS count#313275L] +- Project [_1#313308 AS _1#313269, _2#313309 AS _2#313270] +- Streaming RelationV2 MemoryStreamDataSource$[_1#313308, _2#313309] == Optimized Logical Plan == Aggregate [_1#313308], [_1#313308, count(1) AS count#313275L] +- Project [_1#313308] +- Streaming RelationV2 MemoryStreamDataSource$[_1#313308, _2#313309] == Physical Plan == *(3) HashAggregate(keys=[_1#313308], functions=[count(1)], output=[_1#313308, count#313275L]) +- StateStoreSave [_1#313308], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-e76c9739-6f4f-4cfb-852f-b4d5b39477ff/state, runId = 00c5da69-6917-44eb-b2f6-0b50e974c5c1, opId = 0, ver = 1, numPartitions = 2], Complete, 0, 2 +- *(2) HashAggregate(keys=[_1#313308], functions=[merge_count(1)], output=[_1#313308, count#313304L]) +- StateStoreRestore [_1#313308], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-e76c9739-6f4f-4cfb-852f-b4d5b39477ff/state, runId = 00c5da69-6917-44eb-b2f6-0b50e974c5c1, opId = 0, ver = 1, numPartitions = 2], 2 +- Exchange hashpartitioning(_1#313308, 2) +- *(1) HashAggregate(keys=[_1#313308], functions=[merge_count(1)], output=[_1#313308, count#313304L]) +- *(1) HashAggregate(keys=[_1#313308], functions=[partial_count(1)], output=[_1#313308, count#313304L]) +- *(1) Project [_1#313308] +- *(1) Project [_1#313308, _2#313309] +- *(1) ScanV2 MemoryStreamDataSource$[_1#313308, _2#313309]
sbt.ForkMain$ForkError: org.scalatest.exceptions.TestFailedException:
== Results ==
!== Correct Answer - 3 == == Spark Answer - 3 ==
!struct<_1:int,_2:int> struct<_1:int,count:bigint>
[1,1] [1,1]
![2,2] [2,1]
[3,1] [3,1]
== Progress ==
AddData to MemoryStream[_1#313269,_2#313270]: (1,0),(2,0)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@6c52493,Map(spark.sql.shuffle.partitions -> 2),null)
CheckAnswer: [1,1],[2,1]
StopStream
AddData to MemoryStream[_1#313269,_2#313270]: (3,0),(2,0)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@c7e6051,Map(spark.sql.shuffle.partitions -> 5),null)
=> CheckAnswer: [1,1],[2,2],[3,1]
StopStream
AddData to MemoryStream[_1#313269,_2#313270]: (3,0),(1,0)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@6bc30622,Map(spark.sql.shuffle.partitions -> 1),null)
CheckAnswer: [1,2],[2,2],[3,2]
== Stream ==
Output Mode: Complete
Stream state: {MemoryStream[_1#313269,_2#313270]: 1}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:212)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:157)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
== Sink ==
1: [2,1] [3,1] [1,1]
== Plan ==
== Parsed Logical Plan ==
Aggregate [_1#313269], [_1#313269, count(1) AS count#313275L]
+- Project [_1#313308 AS _1#313269, _2#313309 AS _2#313270]
+- Streaming RelationV2 MemoryStreamDataSource$[_1#313308, _2#313309]
== Analyzed Logical Plan ==
_1: int, count: bigint
Aggregate [_1#313269], [_1#313269, count(1) AS count#313275L]
+- Project [_1#313308 AS _1#313269, _2#313309 AS _2#313270]
+- Streaming RelationV2 MemoryStreamDataSource$[_1#313308, _2#313309]
== Optimized Logical Plan ==
Aggregate [_1#313308], [_1#313308, count(1) AS count#313275L]
+- Project [_1#313308]
+- Streaming RelationV2 MemoryStreamDataSource$[_1#313308, _2#313309]
== Physical Plan ==
*(3) HashAggregate(keys=[_1#313308], functions=[count(1)], output=[_1#313308, count#313275L])
+- StateStoreSave [_1#313308], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-e76c9739-6f4f-4cfb-852f-b4d5b39477ff/state, runId = 00c5da69-6917-44eb-b2f6-0b50e974c5c1, opId = 0, ver = 1, numPartitions = 2], Complete, 0, 2
+- *(2) HashAggregate(keys=[_1#313308], functions=[merge_count(1)], output=[_1#313308, count#313304L])
+- StateStoreRestore [_1#313308], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-e76c9739-6f4f-4cfb-852f-b4d5b39477ff/state, runId = 00c5da69-6917-44eb-b2f6-0b50e974c5c1, opId = 0, ver = 1, numPartitions = 2], 2
+- Exchange hashpartitioning(_1#313308, 2)
+- *(1) HashAggregate(keys=[_1#313308], functions=[merge_count(1)], output=[_1#313308, count#313304L])
+- *(1) HashAggregate(keys=[_1#313308], functions=[partial_count(1)], output=[_1#313308, count#313304L])
+- *(1) Project [_1#313308]
+- *(1) Project [_1#313308, _2#313309]
+- *(1) ScanV2 MemoryStreamDataSource$[_1#313308, _2#313309]
at org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
at org.scalatest.Assertions$class.fail(Assertions.scala:1089)
at org.scalatest.FunSuite.fail(FunSuite.scala:1560)
at org.apache.spark.sql.streaming.StreamTest$class.failTest$1(StreamTest.scala:450)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$executeAction$1$18.apply(StreamTest.scala:725)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$executeAction$1$18.apply(StreamTest.scala:725)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.sql.streaming.StreamTest$class.executeAction$1(StreamTest.scala:724)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:770)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:757)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
at org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:757)
at org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:756)
at org.apache.spark.sql.streaming.StreamSuite.testStream(StreamSuite.scala:48)
at org.apache.spark.sql.streaming.StreamSuite$$anonfun$23.apply$mcV$sp(StreamSuite.scala:698)
at org.apache.spark.sql.streaming.StreamSuite$$anonfun$23.apply(StreamSuite.scala:694)
at org.apache.spark.sql.streaming.StreamSuite$$anonfun$23.apply(StreamSuite.scala:694)
at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
at org.apache.spark.sql.streaming.StreamSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(StreamSuite.scala:48)
at org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:221)
at org.apache.spark.sql.streaming.StreamSuite.runTest(StreamSuite.scala:48)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite$class.run(Suite.scala:1147)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52)
at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213)
at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210)
at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:52)
at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:314)
at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:480)
at sbt.ForkMain$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)