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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-23390) Flaky Test Suite: FileBasedDataSourceSuite in Spark 2.3/hadoop 2.7
Date Thu, 15 Feb 2018 17:01:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-23390?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16365927#comment-16365927
] 

Apache Spark commented on SPARK-23390:
--------------------------------------

User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/20619

> Flaky Test Suite: FileBasedDataSourceSuite in Spark 2.3/hadoop 2.7
> ------------------------------------------------------------------
>
>                 Key: SPARK-23390
>                 URL: https://issues.apache.org/jira/browse/SPARK-23390
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Sameer Agarwal
>            Assignee: Wenchen Fan
>            Priority: Major
>             Fix For: 2.3.0
>
>
> We're seeing multiple failures in {{FileBasedDataSourceSuite}} in {{spark-branch-2.3-test-sbt-hadoop-2.7}}:
> {code}
> org.scalatest.exceptions.TestFailedDueToTimeoutException: The code passed to eventually
never returned normally. Attempted 15 times over 10.012158059999999 seconds. Last failure
message: There are 1 possibly leaked file streams..
> {code}
> Here's the full history: https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-branch-2.3-test-sbt-hadoop-2.7/189/testReport/org.apache.spark.sql/FileBasedDataSourceSuite/history/
> From a very quick look, these failures seem to be correlated with https://github.com/apache/spark/pull/20479
(cc [~dongjoon]) as evident from the following stack trace (full logs [here|https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-branch-2.3-test-sbt-hadoop-2.7/189/console]):

> {code}
> [info] - Enabling/disabling ignoreMissingFiles using orc (648 milliseconds)
> 15:55:58.673 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 61.0
(TID 85, localhost, executor driver): TaskKilled (Stage cancelled)
> 15:55:58.674 WARN org.apache.spark.DebugFilesystem: Leaked filesystem connection created
at:
> java.lang.Throwable
> 	at org.apache.spark.DebugFilesystem$.addOpenStream(DebugFilesystem.scala:36)
> 	at org.apache.spark.DebugFilesystem.open(DebugFilesystem.scala:70)
> 	at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:769)
> 	at org.apache.orc.impl.RecordReaderUtils$DefaultDataReader.open(RecordReaderUtils.java:173)
> 	at org.apache.orc.impl.RecordReaderImpl.<init>(RecordReaderImpl.java:254)
> 	at org.apache.orc.impl.ReaderImpl.rows(ReaderImpl.java:633)
> 	at org.apache.spark.sql.execution.datasources.orc.OrcColumnarBatchReader.initialize(OrcColumnarBatchReader.java:138)
> {code}
> Also, while this might be just a false correlation but the frequency of these test failures
have increased considerably in https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-branch-2.3-test-sbt-hadoop-2.7/
after https://github.com/apache/spark/pull/20562 (cc [~fengliu@databricks.com]) was merged.
> The following is Parquet leakage.
> {code}
> 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:769)
> 	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:133)
> 	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:400)
> 	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:356)
> 	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)
> {code}



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