[jira] [Commented] (SPARK-17850) HadoopRDD should not swallow EOFException
[ https://issues.apache.org/jira/browse/SPARK-17850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15684699#comment-15684699 ] Shixiong Zhu commented on SPARK-17850: -- [~mgrover] you're right. This is only in 2.1. Removed 2.0.2. > HadoopRDD should not swallow EOFException > - > > Key: SPARK-17850 > URL: https://issues.apache.org/jira/browse/SPARK-17850 > Project: Spark > Issue Type: Bug > Components: Spark Core >Affects Versions: 1.4.1, 1.5.2, 1.6.2, 2.0.1 >Reporter: Shixiong Zhu >Assignee: Shixiong Zhu > Labels: correctness > Fix For: 2.1.0 > > > The code in > https://github.com/apache/spark/blob/2bcd5d5ce3eaf0eb1600a12a2b55ddb40927533b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala#L256 > catches EOFException and mark RecordReader finished. However, in some cases, > RecordReader will throw EOFException to indicate the stream is corrupted. See > the following stack trace as an example: > {code} > Caused by: java.io.EOFException: Unexpected end of input stream > at > org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:145) > at > org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85) > at java.io.InputStream.read(InputStream.java:101) > at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:211) > at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) > at > org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:164) > at > org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) > at > org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:134) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown > Source) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:372) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > 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) > {code} > Then HadoopRDD doesn't fail the job when files are corrupted (e.g., corrupted > gzip files). > Note: NewHadoopRDD doesn't have this issue. > This is reported by Bilal Aslam. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-17850) HadoopRDD should not swallow EOFException
[ https://issues.apache.org/jira/browse/SPARK-17850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15684685#comment-15684685 ] Mark Grover commented on SPARK-17850: - Hi [~zsxwing] and [~srowen], the JIRA fix version seems to suggest that it's in both Spark 2.0 branch as well as Spark 2.1 branch, but I don't see it in branch-2.0. Should the fix version be 2.1.0 only? > HadoopRDD should not swallow EOFException > - > > Key: SPARK-17850 > URL: https://issues.apache.org/jira/browse/SPARK-17850 > Project: Spark > Issue Type: Bug > Components: Spark Core >Affects Versions: 1.4.1, 1.5.2, 1.6.2, 2.0.1 >Reporter: Shixiong Zhu >Assignee: Shixiong Zhu > Labels: correctness > Fix For: 2.0.2, 2.1.0 > > > The code in > https://github.com/apache/spark/blob/2bcd5d5ce3eaf0eb1600a12a2b55ddb40927533b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala#L256 > catches EOFException and mark RecordReader finished. However, in some cases, > RecordReader will throw EOFException to indicate the stream is corrupted. See > the following stack trace as an example: > {code} > Caused by: java.io.EOFException: Unexpected end of input stream > at > org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:145) > at > org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85) > at java.io.InputStream.read(InputStream.java:101) > at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:211) > at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) > at > org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:164) > at > org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) > at > org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:134) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown > Source) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:372) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > 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) > {code} > Then HadoopRDD doesn't fail the job when files are corrupted (e.g., corrupted > gzip files). > Note: NewHadoopRDD doesn't have this issue. > This is reported by Bilal Aslam. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-17850) HadoopRDD should not swallow EOFException
[ https://issues.apache.org/jira/browse/SPARK-17850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15570154#comment-15570154 ] Apache Spark commented on SPARK-17850: -- User 'zsxwing' has created a pull request for this issue: https://github.com/apache/spark/pull/15454 > HadoopRDD should not swallow EOFException > - > > Key: SPARK-17850 > URL: https://issues.apache.org/jira/browse/SPARK-17850 > Project: Spark > Issue Type: Bug > Components: Spark Core >Affects Versions: 1.4.1, 1.5.2, 1.6.2, 2.0.1 >Reporter: Shixiong Zhu > Labels: correctness > > The code in > https://github.com/apache/spark/blob/2bcd5d5ce3eaf0eb1600a12a2b55ddb40927533b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala#L256 > catches EOFException and mark RecordReader finished. However, in some cases, > RecordReader will throw EOFException to indicate the stream is corrupted. See > the following stack trace as an example: > {code} > Caused by: java.io.EOFException: Unexpected end of input stream > at > org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:145) > at > org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85) > at java.io.InputStream.read(InputStream.java:101) > at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:211) > at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) > at > org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:164) > at > org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) > at > org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:134) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown > Source) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:372) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > 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) > {code} > Then HadoopRDD doesn't fail the job when files are corrupted (e.g., corrupted > gzip files). > Note: NewHadoopRDD doesn't have this issue. > This is reported by Bilal Aslam. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-17850) HadoopRDD should not swallow EOFException
[ https://issues.apache.org/jira/browse/SPARK-17850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15563774#comment-15563774 ] Apache Spark commented on SPARK-17850: -- User 'zsxwing' has created a pull request for this issue: https://github.com/apache/spark/pull/15422 > HadoopRDD should not swallow EOFException > - > > Key: SPARK-17850 > URL: https://issues.apache.org/jira/browse/SPARK-17850 > Project: Spark > Issue Type: Bug > Components: Spark Core >Affects Versions: 1.4.1, 1.5.2, 1.6.2, 2.0.1 >Reporter: Shixiong Zhu > Labels: correctness > > The code in > https://github.com/apache/spark/blob/2bcd5d5ce3eaf0eb1600a12a2b55ddb40927533b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala#L256 > catches EOFException and mark RecordReader finished. However, in some cases, > RecordReader will throw EOFException to indicate the stream is corrupted. See > the following stack trace as an example: > {code} > Caused by: java.io.EOFException: Unexpected end of input stream > at > org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:145) > at > org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85) > at java.io.InputStream.read(InputStream.java:101) > at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:211) > at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) > at > org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:164) > at > org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) > at > org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:134) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown > Source) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:372) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > 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) > {code} > Then HadoopRDD doesn't fail the job when files are corrupted (e.g., corrupted > gzip files). > Note: NewHadoopRDD doesn't have this issue. > This is reported by Bilal Aslam. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-17850) HadoopRDD should not swallow EOFException
[ https://issues.apache.org/jira/browse/SPARK-17850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15561583#comment-15561583 ] Sean Owen commented on SPARK-17850: --- Yeah, I don't see why it's valid to catch EOFException. It already returns false to signal EOF. An exception would mean it internally didn't expect EOF but read to the end. > HadoopRDD should not swallow EOFException > - > > Key: SPARK-17850 > URL: https://issues.apache.org/jira/browse/SPARK-17850 > Project: Spark > Issue Type: Bug > Components: Spark Core >Affects Versions: 1.4.1, 1.5.2, 1.6.2, 2.0.1 >Reporter: Shixiong Zhu > Labels: correctness > > The code in > https://github.com/apache/spark/blob/2bcd5d5ce3eaf0eb1600a12a2b55ddb40927533b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala#L256 > catches EOFException and mark RecordReader finished. However, in some cases, > RecordReader will throw EOFException to indicate the stream is corrupted. See > the following stack trace as an example: > {code} > Caused by: java.io.EOFException: Unexpected end of input stream > at > org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:145) > at > org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85) > at java.io.InputStream.read(InputStream.java:101) > at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:211) > at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) > at > org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:164) > at > org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) > at > org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:134) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown > Source) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:372) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > 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) > {code} > Then HadoopRDD doesn't fail the job when files are corrupted (e.g., corrupted > gzip files). > Note: NewHadoopRDD doesn't have this issue. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org