org.scalatest.exceptions.TestFailedException: == Results == !== Correct Answer - 5 == == Spark Answer - 5 == !struct<> struct<value:int,count:bigint> ![1,2] [1,1] ![2,2] [2,1] ![3,2] [3,1] [4,1] [4,1] [5,1] [5,1] == Progress == AddData to MemoryStream[value#309993]: 1,2,3 CheckAnswer: [1,1],[2,1],[3,1] AddData to MemoryStream[value#309993]: 1,2,3,4,5,6,7,8,9 => CheckAnswer: [1,2],[2,2],[3,2],[4,1],[5,1] == Stream == Output Mode: Complete Stream state: {MemoryStream[value#309993]: 1} Thread state: alive Thread stack trace: java.lang.Thread.sleep(Native Method) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:211) org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56) org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:160) org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279) org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189) == Sink == 1: [2,1] [5,1] [4,1] [3,1] [1,1] == Plan == == Parsed Logical Plan == Aggregate [value#309993], [value#309993, count(1) AS count#309998L] +- GlobalLimit 5 +- LocalLimit 5 +- Project [value#310009 AS value#309993] +- Streaming RelationV2 MemoryStreamDataSource$[value#310009] == Analyzed Logical Plan == value: int, count: bigint Aggregate [value#309993], [value#309993, count(1) AS count#309998L] +- GlobalLimit 5 +- LocalLimit 5 +- Project [value#310009 AS value#309993] +- Streaming RelationV2 MemoryStreamDataSource$[value#310009] == Optimized Logical Plan == Aggregate [value#310009], [value#310009, count(1) AS count#309998L] +- GlobalLimit 5 +- LocalLimit 5 +- Streaming RelationV2 MemoryStreamDataSource$[value#310009] == Physical Plan == *(4) HashAggregate(keys=[value#310009], functions=[count(1)], output=[value#310009, count#309998L]) +- StateStoreSave [value#310009], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-4c2983ee-86d2-42ec-9d97-579e44962f1d/state, runId = 7ed29fb8-9a4d-4525-9926-a35f8e9a45ae, opId = 0, ver = 1, numPartitions = 2], Complete, 0 +- *(3) HashAggregate(keys=[value#310009], functions=[merge_count(1)], output=[value#310009, count#310005L]) +- StateStoreRestore [value#310009], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-4c2983ee-86d2-42ec-9d97-579e44962f1d/state, runId = 7ed29fb8-9a4d-4525-9926-a35f8e9a45ae, opId = 0, ver = 1, numPartitions = 2] +- Exchange hashpartitioning(value#310009, 2) +- *(2) HashAggregate(keys=[value#310009], functions=[merge_count(1)], output=[value#310009, count#310005L]) +- *(2) HashAggregate(keys=[value#310009], functions=[partial_count(1)], output=[value#310009, count#310005L]) +- GlobalLimit 5 +- *(1) LocalLimit 5 +- *(1) Project [value#310009] +- *(1) ScanV2 MemoryStreamDataSource$[value#310009]

sbt.ForkMain$ForkError: org.scalatest.exceptions.TestFailedException: 

== Results ==
!== Correct Answer - 5 ==   == Spark Answer - 5 ==
!struct<>                   struct<value:int,count:bigint>
![1,2]                      [1,1]
![2,2]                      [2,1]
![3,2]                      [3,1]
 [4,1]                      [4,1]
 [5,1]                      [5,1]
    

== Progress ==
   AddData to MemoryStream[value#309993]: 1,2,3
   CheckAnswer: [1,1],[2,1],[3,1]
   AddData to MemoryStream[value#309993]: 1,2,3,4,5,6,7,8,9
=> CheckAnswer: [1,2],[2,2],[3,2],[4,1],[5,1]

== Stream ==
Output Mode: Complete
Stream state: {MemoryStream[value#309993]: 1}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:211)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:160)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)


== Sink ==
1: [2,1] [5,1] [4,1] [3,1] [1,1]


== Plan ==
== Parsed Logical Plan ==
Aggregate [value#309993], [value#309993, count(1) AS count#309998L]
+- GlobalLimit 5
   +- LocalLimit 5
      +- Project [value#310009 AS value#309993]
         +- Streaming RelationV2 MemoryStreamDataSource$[value#310009]

== Analyzed Logical Plan ==
value: int, count: bigint
Aggregate [value#309993], [value#309993, count(1) AS count#309998L]
+- GlobalLimit 5
   +- LocalLimit 5
      +- Project [value#310009 AS value#309993]
         +- Streaming RelationV2 MemoryStreamDataSource$[value#310009]

== Optimized Logical Plan ==
Aggregate [value#310009], [value#310009, count(1) AS count#309998L]
+- GlobalLimit 5
   +- LocalLimit 5
      +- Streaming RelationV2 MemoryStreamDataSource$[value#310009]

== Physical Plan ==
*(4) HashAggregate(keys=[value#310009], functions=[count(1)], output=[value#310009, count#309998L])
+- StateStoreSave [value#310009], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-4c2983ee-86d2-42ec-9d97-579e44962f1d/state, runId = 7ed29fb8-9a4d-4525-9926-a35f8e9a45ae, opId = 0, ver = 1, numPartitions = 2], Complete, 0
   +- *(3) HashAggregate(keys=[value#310009], functions=[merge_count(1)], output=[value#310009, count#310005L])
      +- StateStoreRestore [value#310009], state info [ checkpoint = *********(redacted)/jenkins/workspace/spark-master-test-sbt-hadoop-2.6-ubuntu-test/target/tmp/streaming.metadata-4c2983ee-86d2-42ec-9d97-579e44962f1d/state, runId = 7ed29fb8-9a4d-4525-9926-a35f8e9a45ae, opId = 0, ver = 1, numPartitions = 2]
         +- Exchange hashpartitioning(value#310009, 2)
            +- *(2) HashAggregate(keys=[value#310009], functions=[merge_count(1)], output=[value#310009, count#310005L])
               +- *(2) HashAggregate(keys=[value#310009], functions=[partial_count(1)], output=[value#310009, count#310005L])
                  +- GlobalLimit 5
                     +- *(1) LocalLimit 5
                        +- *(1) Project [value#310009]
                           +- *(1) ScanV2 MemoryStreamDataSource$[value#310009]
         
         
	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$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:767)
	at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:754)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:754)
	at org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:753)
	at org.apache.spark.sql.streaming.StreamSuite.testStream(StreamSuite.scala:48)
	at org.apache.spark.sql.streaming.StreamSuite$$anonfun$36.apply$mcV$sp(StreamSuite.scala:977)
	at org.apache.spark.sql.streaming.StreamSuite$$anonfun$36.apply(StreamSuite.scala:974)
	at org.apache.spark.sql.streaming.StreamSuite$$anonfun$36.apply(StreamSuite.scala:974)
	at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
	at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
	at org.scalatest.Transformer.apply(Transformer.scala:22)
	at org.scalatest.Transformer.apply(Transformer.scala:20)
	at org.scalatest.FunSuiteLike$$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)