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Posted to issues@spark.apache.org by "Gabor Somogyi (Jira)" <ji...@apache.org> on 2020/06/08 11:22:00 UTC
[jira] [Created] (SPARK-31928) Flaky test:
StreamingDeduplicationSuite.test no-data flag
Gabor Somogyi created SPARK-31928:
-------------------------------------
Summary: Flaky test: StreamingDeduplicationSuite.test no-data flag
Key: SPARK-31928
URL: https://issues.apache.org/jira/browse/SPARK-31928
Project: Spark
Issue Type: Bug
Components: Structured Streaming, Tests
Affects Versions: 3.1.0
Reporter: Gabor Somogyi
Test failed: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/123621/
{code:java}
org.scalatest.exceptions.TestFailedException: with spark.sql.streaming.noDataMicroBatches.enabled = false Assert on query failed: : Assert on query failed: == Progress == StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@372edb19,Map(spark.sql.streaming.noDataMicroBatches.enabled -> false),null) AddData to MemoryStream[value#437541]: 10,11,12,13,14,15 CheckAnswer: [10],[11],[12],[13],[14],[15] AssertOnQuery(<condition>, Check total state rows = List(6), updated state rows = List(6)) AddData to MemoryStream[value#437541]: 25 CheckNewAnswer: [25] AssertOnQuery(<condition>, Check total state rows = List(7), updated state rows = List(1)) => AssertOnQuery(<condition>, ) == Stream == Output Mode: Append Stream state: {MemoryStream[value#437541]: 1} Thread state: alive Thread stack trace: java.lang.Thread.sleep(Native Method) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:241) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1375/882607691.apply$mcZ$sp(Unknown Source) org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57) org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185) org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:334) org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:245) == Sink == 0: [11] [14] [13] [10] [15] [12] 1: [25] == Plan == == Parsed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- Deduplicate [value#437541, eventTime#437544-T10000ms] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1 == Analyzed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- Deduplicate [value#437541, eventTime#437544-T10000ms] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1 == Optimized Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- Deduplicate [value#437541, eventTime#437544-T10000ms] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1 == Physical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- *(2) Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- StreamingDeduplicate [value#437541, eventTime#437544-T10000ms], state info [ checkpoint = file:/home/jenkins/workspace/SparkPullRequestBuilder@2/target/tmp/streaming.metadata-e446f9e9-0afe-4b5e-b6a6-772d0debc7ee/state, runId = 9ed21ac3-8994-4e13-8da1-db14a1f22da6, opId = 0, ver = 1, numPartitions = 5], 5000 +- Exchange hashpartitioning(value#437541, eventTime#437544-T10000ms, 5), true, [id=#875392] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- *(1) Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- *(1) Project [value#437541] +- MicroBatchScan[value#437541] MemoryStreamDataSource org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:530) org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:529) org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560) org.scalatest.Assertions.fail(Assertions.scala:1091) org.scalatest.Assertions.fail$(Assertions.scala:1087) org.scalatest.FunSuite.fail(FunSuite.scala:1560) org.apache.spark.sql.streaming.StreamTest.failTest$1(StreamTest.scala:452) org.apache.spark.sql.streaming.StreamTest.verify$1(StreamTest.scala:423) org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:651) org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:778) == Progress == StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@372edb19,Map(spark.sql.streaming.noDataMicroBatches.enabled -> false),null) AddData to MemoryStream[value#437541]: 10,11,12,13,14,15 CheckAnswer: [10],[11],[12],[13],[14],[15] AssertOnQuery(<condition>, Check total state rows = List(6), updated state rows = List(6)) AddData to MemoryStream[value#437541]: 25 CheckNewAnswer: [25] AssertOnQuery(<condition>, Check total state rows = List(7), updated state rows = List(1)) => AssertOnQuery(<condition>, ) == Stream == Output Mode: Append Stream state: {MemoryStream[value#437541]: 1} Thread state: alive Thread stack trace: java.lang.Thread.sleep(Native Method) org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:241) org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1375/882607691.apply$mcZ$sp(Unknown Source) org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57) org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185) org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:334) org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:245) == Sink == 0: [11] [14] [13] [10] [15] [12] 1: [25] == Plan == == Parsed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- Deduplicate [value#437541, eventTime#437544-T10000ms] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1 == Analyzed Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- Deduplicate [value#437541, eventTime#437544-T10000ms] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1 == Optimized Logical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- Deduplicate [value#437541, eventTime#437544-T10000ms] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1 == Physical Plan == WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13 +- *(2) Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L] +- StreamingDeduplicate [value#437541, eventTime#437544-T10000ms], state info [ checkpoint = file:/home/jenkins/workspace/SparkPullRequestBuilder@2/target/tmp/streaming.metadata-e446f9e9-0afe-4b5e-b6a6-772d0debc7ee/state, runId = 9ed21ac3-8994-4e13-8da1-db14a1f22da6, opId = 0, ver = 1, numPartitions = 5], 5000 +- Exchange hashpartitioning(value#437541, eventTime#437544-T10000ms, 5), true, [id=#875392] +- EventTimeWatermark eventTime#437544: timestamp, 10 seconds +- *(1) Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544] +- *(1) Project [value#437541] +- MicroBatchScan[value#437541] MemoryStreamDataSource
Stacktrace
sbt.ForkMain$ForkError: org.scalatest.exceptions.TestFailedException: with spark.sql.streaming.noDataMicroBatches.enabled = false
Assert on query failed: :
Assert on query failed:
== Progress ==
StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@372edb19,Map(spark.sql.streaming.noDataMicroBatches.enabled -> false),null)
AddData to MemoryStream[value#437541]: 10,11,12,13,14,15
CheckAnswer: [10],[11],[12],[13],[14],[15]
AssertOnQuery(<condition>, Check total state rows = List(6), updated state rows = List(6))
AddData to MemoryStream[value#437541]: 25
CheckNewAnswer: [25]
AssertOnQuery(<condition>, Check total state rows = List(7), updated state rows = List(1))
=> AssertOnQuery(<condition>, )
== Stream ==
Output Mode: Append
Stream state: {MemoryStream[value#437541]: 1}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:241)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1375/882607691.apply$mcZ$sp(Unknown Source)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:334)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:245)
== Sink ==
0: [11] [14] [13] [10] [15] [12]
1: [25]
== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- Deduplicate [value#437541, eventTime#437544-T10000ms]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1
== Analyzed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- Deduplicate [value#437541, eventTime#437544-T10000ms]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1
== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- Deduplicate [value#437541, eventTime#437544-T10000ms]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1
== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- *(2) Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- StreamingDeduplicate [value#437541, eventTime#437544-T10000ms], state info [ checkpoint = file:/home/jenkins/workspace/SparkPullRequestBuilder@2/target/tmp/streaming.metadata-e446f9e9-0afe-4b5e-b6a6-772d0debc7ee/state, runId = 9ed21ac3-8994-4e13-8da1-db14a1f22da6, opId = 0, ver = 1, numPartitions = 5], 5000
+- Exchange hashpartitioning(value#437541, eventTime#437544-T10000ms, 5), true, [id=#875392]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- *(1) Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- *(1) Project [value#437541]
+- MicroBatchScan[value#437541] MemoryStreamDataSource
org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:530)
org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:529)
org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
org.scalatest.Assertions.fail(Assertions.scala:1091)
org.scalatest.Assertions.fail$(Assertions.scala:1087)
org.scalatest.FunSuite.fail(FunSuite.scala:1560)
org.apache.spark.sql.streaming.StreamTest.failTest$1(StreamTest.scala:452)
org.apache.spark.sql.streaming.StreamTest.verify$1(StreamTest.scala:423)
org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:651)
org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:778)
== Progress ==
StartStream(ProcessingTimeTrigger(0),org.apache.spark.util.SystemClock@372edb19,Map(spark.sql.streaming.noDataMicroBatches.enabled -> false),null)
AddData to MemoryStream[value#437541]: 10,11,12,13,14,15
CheckAnswer: [10],[11],[12],[13],[14],[15]
AssertOnQuery(<condition>, Check total state rows = List(6), updated state rows = List(6))
AddData to MemoryStream[value#437541]: 25
CheckNewAnswer: [25]
AssertOnQuery(<condition>, Check total state rows = List(7), updated state rows = List(1))
=> AssertOnQuery(<condition>, )
== Stream ==
Output Mode: Append
Stream state: {MemoryStream[value#437541]: 1}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:241)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1375/882607691.apply$mcZ$sp(Unknown Source)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:334)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:245)
== Sink ==
0: [11] [14] [13] [10] [15] [12]
1: [25]
== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- Deduplicate [value#437541, eventTime#437544-T10000ms]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1
== Analyzed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- Deduplicate [value#437541, eventTime#437544-T10000ms]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1
== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- Deduplicate [value#437541, eventTime#437544-T10000ms]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- StreamingDataSourceV2Relation [value#437541], org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@1802eea6, MemoryStream[value#437541], 0, 1
== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@158ccd13
+- *(2) Project [cast(eventTime#437544-T10000ms as bigint) AS eventTime#437548L]
+- StreamingDeduplicate [value#437541, eventTime#437544-T10000ms], state info [ checkpoint = file:/home/jenkins/workspace/SparkPullRequestBuilder@2/target/tmp/streaming.metadata-e446f9e9-0afe-4b5e-b6a6-772d0debc7ee/state, runId = 9ed21ac3-8994-4e13-8da1-db14a1f22da6, opId = 0, ver = 1, numPartitions = 5], 5000
+- Exchange hashpartitioning(value#437541, eventTime#437544-T10000ms, 5), true, [id=#875392]
+- EventTimeWatermark eventTime#437544: timestamp, 10 seconds
+- *(1) Project [value#437541, cast(value#437541 as timestamp) AS eventTime#437544]
+- *(1) Project [value#437541]
+- MicroBatchScan[value#437541] MemoryStreamDataSource
at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:530)
at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:529)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
at org.scalatest.Assertions.fail(Assertions.scala:1091)
at org.scalatest.Assertions.fail$(Assertions.scala:1087)
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$1(StreamTest.scala:654)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:778)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56$adapted(StreamTest.scala:765)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38)
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:334)
at org.apache.spark.sql.streaming.StreamingDeduplicationSuite.testStream(StreamingDeduplicationSuite.scala:29)
at org.apache.spark.sql.streaming.StreamingDeduplicationSuite.$anonfun$new$19(StreamingDeduplicationSuite.scala:284)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.scalatest.Assertions.withClue(Assertions.scala:1223)
at org.scalatest.Assertions.withClue$(Assertions.scala:1210)
at org.scalatest.FunSuite.withClue(FunSuite.scala:1560)
at org.apache.spark.sql.streaming.StreamingDeduplicationSuite.testWithFlag$1(StreamingDeduplicationSuite.scala:264)
at org.apache.spark.sql.streaming.StreamingDeduplicationSuite.$anonfun$new$18(StreamingDeduplicationSuite.scala:289)
at scala.runtime.java8.JFunction0$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$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:157)
at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184)
at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:286)
at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:59)
at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:221)
at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:214)
at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:59)
at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:393)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:381)
at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:376)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:458)
at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite.run(Suite.scala:1124)
at org.scalatest.Suite.run$(Suite.scala:1106)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike.$anonfun$run$1(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:518)
at org.scalatest.FunSuiteLike.run(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike.run$(FunSuiteLike.scala:232)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:59)
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:59)
at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:317)
at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:510)
at sbt.ForkMain$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)
{code}
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