[
https://issues.apache.org/jira/browse/HADOOP-14981?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16218802#comment-16218802
]
Steve Loughran commented on HADOOP-14981:
-----------------------------------------
Full stack. I believe what is happening is that because
{{NativeCodeLoader.buildSupportsSnappy()}} is now being called before
{{NativeCodeLoader.isNativeCodeLoaded()}}, the (native) method is being called
even when its not there, hence the link failure.
Possible solutions
* revert HADOOP-13694
* Catch the Link exception and convert to a meaningful error text "no hadoop
native lib"
{code}
landsat pipeine *** FAILED ***
org.apache.spark.SparkException: Job aborted.
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:215)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:173)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:145)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117)
...
Cause: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 7.0 failed 1 times, most recent failure: Lost task 0.0 in stage
7.0 (TID 14, localhost, executor driver): org.apache.spark.SparkException: Task
failed while writing rows
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.UnsatisfiedLinkError:
org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy()Z
at org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy(Native
Method)
at
org.apache.hadoop.io.compress.SnappyCodec.checkNativeCodeLoaded(SnappyCodec.java:63)
at
org.apache.hadoop.io.compress.SnappyCodec.getCompressorType(SnappyCodec.java:136)
at
org.apache.hadoop.io.compress.CodecPool.getCompressor(CodecPool.java:150)
at
org.apache.hadoop.io.compress.CompressionCodec$Util.createOutputStreamWithCodecPool(CompressionCodec.java:131)
at
org.apache.hadoop.io.compress.SnappyCodec.createOutputStream(SnappyCodec.java:102)
at
org.apache.spark.sql.execution.datasources.CodecStreams$$anonfun$createOutputStream$1.apply(CodecStreams.scala:84)
at
org.apache.spark.sql.execution.datasources.CodecStreams$$anonfun$createOutputStream$1.apply(CodecStreams.scala:84)
at scala.Option.map(Option.scala:146)
at
org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:84)
at
org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStreamWriter(CodecStreams.scala:92)
at
org.apache.spark.sql.execution.datasources.csv.CsvOutputWriter.<init>(CSVFileFormat.scala:135)
at
org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anon$1.newInstance(CSVFileFormat.scala:77)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$DynamicPartitionWriteTask.org$apache$spark$sql$execution$datasources$FileFormatWriter$DynamicPartitionWriteTask$$newOutputWriter(FileFormatWriter.scala:418)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$DynamicPartitionWriteTask$$anonfun$execute$2.apply(FileFormatWriter.scala:451)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$DynamicPartitionWriteTask$$anonfun$execute$2.apply(FileFormatWriter.scala:440)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at
org.apache.spark.sql.catalyst.util.AbstractScalaRowIterator.foreach(AbstractScalaRowIterator.scala:26)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$DynamicPartitionWriteTask.execute(FileFormatWriter.scala:440)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261)
... 8 more
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
...
Cause: org.apache.spark.SparkException: Task failed while writing rows
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
...
Cause: java.lang.UnsatisfiedLinkError:
org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy()Z
at org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy(Native Method)
at
org.apache.hadoop.io.compress.SnappyCodec.checkNativeCodeLoaded(SnappyCodec.java:63)
at
org.apache.hadoop.io.compress.SnappyCodec.getCompressorType(SnappyCodec.java:136)
at org.apache.hadoop.io.compress.CodecPool.getCompressor(CodecPool.java:150)
at
org.apache.hadoop.io.compress.CompressionCodec$Util.createOutputStreamWithCodecPool(CompressionCodec.java:131)
at
org.apache.hadoop.io.compress.SnappyCodec.createOutputStream(SnappyCodec.java:102)
at
org.apache.spark.sql.execution.datasources.CodecStreams$$anonfun$createOutputStream$1.apply(CodecStreams.scala:84)
at
org.apache.spark.sql.execution.datasources.CodecStreams$$anonfun$createOutputStream$1.apply(CodecStreams.scala:84)
at scala.Option.map(Option.scala:146)
at
org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:84)
...
{code}
> SnappyCodec.checkNativeCodeLoaded raises UnsatisfiedLinkError if native code
> is missing
> ---------------------------------------------------------------------------------------
>
> Key: HADOOP-14981
> URL: https://issues.apache.org/jira/browse/HADOOP-14981
> Project: Hadoop Common
> Issue Type: Bug
> Components: common
> Affects Versions: 2.8.0
> Reporter: Steve Loughran
>
> I'm getting a stack trace on trunk because there is no native lib on the path
> and Snappy has been invoked
> {code}
> at java.lang.Thread.run(Thread.java:745)
> ... Cause: java.lang.UnsatisfiedLinkError:
> org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy()Z
> at org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy(Native
> Method)
> at
> org.apache.hadoop.io.compress.SnappyCodec.checkNativeCodeLoaded(SnappyCodec.java:63)
> {code}
> HADOOP-13684 touched these lines in the past,
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