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https://issues.apache.org/jira/browse/SPARK-23505?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16749220#comment-16749220
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Dongjoon Hyun edited comment on SPARK-23505 at 1/22/19 10:31 PM:
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I've been monitoring the Jenkins. At least, for `branch-2.4` and `master`, this
seems to be resolved. I don't see the `ParquetQuerySuite` failure in Jenkins.
I'll monitor more.
was (Author: dongjoon):
I've monitoring the Jenkins. At least, for `branch-2.4` and `master`, this
seems to be resolved. I don't see the failure in Jenkins.
> Flaky test: ParquetQuerySuite
> -----------------------------
>
> Key: SPARK-23505
> URL: https://issues.apache.org/jira/browse/SPARK-23505
> Project: Spark
> Issue Type: Bug
> Components: SQL, Tests
> Affects Versions: 2.4.0
> Reporter: Marcelo Vanzin
> Priority: Major
>
> Seen on an unrelated PR;
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/87635/testReport/org.apache.spark.sql.execution.datasources.parquet/ParquetQuerySuite/_It_is_not_a_test_it_is_a_sbt_testing_SuiteSelector_/
> {noformat}
> Error Message
> org.scalatest.exceptions.TestFailedDueToTimeoutException: The code passed to
> eventually never returned normally. Attempted 15 times over
> 10.012533246999999 seconds. Last failure message: There are 1 possibly leaked
> file streams..
> Stacktrace
> sbt.ForkMain$ForkError:
> org.scalatest.exceptions.TestFailedDueToTimeoutException: The code passed to
> eventually never returned normally. Attempted 15 times over
> 10.012533246999999 seconds. Last failure message: There are 1 possibly leaked
> file streams..
> at
> org.scalatest.concurrent.Eventually$class.tryTryAgain$1(Eventually.scala:421)
> at
> org.scalatest.concurrent.Eventually$class.eventually(Eventually.scala:439)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetQuerySuite.eventually(ParquetQuerySuite.scala:41)
> at
> org.scalatest.concurrent.Eventually$class.eventually(Eventually.scala:308)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetQuerySuite.eventually(ParquetQuerySuite.scala:41)
> at
> org.apache.spark.sql.test.SharedSparkSession$class.afterEach(SharedSparkSession.scala:114)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetQuerySuite.afterEach(ParquetQuerySuite.scala:41)
> at
> org.scalatest.BeforeAndAfterEach$$anonfun$1.apply$mcV$sp(BeforeAndAfterEach.scala:234)
> at
> org.scalatest.Status$$anonfun$withAfterEffect$1.apply(Status.scala:379)
> at
> org.scalatest.Status$$anonfun$withAfterEffect$1.apply(Status.scala:375)
> at org.scalatest.SucceededStatus$.whenCompleted(Status.scala:454)
> at org.scalatest.Status$class.withAfterEffect(Status.scala:375)
> at org.scalatest.SucceededStatus$.withAfterEffect(Status.scala:426)
> at
> org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:232)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetQuerySuite.runTest(ParquetQuerySuite.scala:41)
> at
> org.scalatest.FunSuiteLike$$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$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
> at
> org.scalatest.SuperEngine.org$scalatest$SuperEngine$$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$$runSuite(Framework.scala:314)
> at
> org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:480)
> at sbt.ForkMain$Run$2.call(ForkMain.java:296)
> at sbt.ForkMain$Run$2.call(ForkMain.java:286)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: sbt.ForkMain$ForkError: java.lang.IllegalStateException: There are
> 1 possibly leaked file streams.
> at
> org.apache.spark.DebugFilesystem$.assertNoOpenStreams(DebugFilesystem.scala:54)
> at
> org.apache.spark.sql.test.SharedSparkSession$$anonfun$afterEach$1.apply$mcV$sp(SharedSparkSession.scala:115)
> at
> org.apache.spark.sql.test.SharedSparkSession$$anonfun$afterEach$1.apply(SharedSparkSession.scala:115)
> at
> org.apache.spark.sql.test.SharedSparkSession$$anonfun$afterEach$1.apply(SharedSparkSession.scala:115)
> at
> org.scalatest.concurrent.Eventually$class.makeAValiantAttempt$1(Eventually.scala:395)
> at
> org.scalatest.concurrent.Eventually$class.tryTryAgain$1(Eventually.scala:409)
> ... 42 more
> Caused by: sbt.ForkMain$ForkError: java.lang.Throwable: null
> at
> org.apache.spark.DebugFilesystem$.addOpenStream(DebugFilesystem.scala:36)
> at org.apache.spark.DebugFilesystem.open(DebugFilesystem.scala:70)
> at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:766)
> at
> org.apache.parquet.hadoop.ParquetFileReader.<init>(ParquetFileReader.java:538)
> at
> org.apache.spark.sql.execution.datasources.parquet.SpecificParquetRecordReaderBase.initialize(SpecificParquetRecordReaderBase.java:149)
> at
> org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:131)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:404)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:357)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:125)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:179)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:106)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$11$$anon$1.hasNext(WholeStageCodegenExec.scala:616)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1834)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1162)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1162)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2070)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2070)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> ... 3 more
> {noformat}
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