[
https://issues.apache.org/jira/browse/PIG-5297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Adam Szita updated PIG-5297:
----------------------------
Description:
When running tests in yarn-client mode that were built with Spark 2 I'm getting
the following exception:
{code}
Caused by: java.lang.IllegalStateException: Library directory
'...../pig/assembly/target/scala-2.11/jars' does not exist; make sure Spark is
built.
at
org.apache.spark.launcher.CommandBuilderUtils.checkState(CommandBuilderUtils.java:248)
at
org.apache.spark.launcher.CommandBuilderUtils.findJarsDir(CommandBuilderUtils.java:368)
at
org.apache.spark.launcher.YarnCommandBuilderUtils$.findJarsDir(YarnCommandBuilderUtils.scala:38)
at
org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:558)
at
org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:882)
{code}
After overcoming this with symlinks and setting SPARK_HOME I hit another issue:
{code}
Caused by: java.lang.NoSuchMethodError:
io.netty.channel.DefaultFileRegion.<init>(Ljava/io/File;JJ)V
at
org.apache.spark.network.buffer.FileSegmentManagedBuffer.convertToNetty(FileSegmentManagedBuffer.java:133)
at
org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:58)
at
org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:33)
at
io.netty.handler.codec.MessageToMessageEncoder.write(MessageToMessageEncoder.java:89)
{code}
I believe this will be an incompatibility between netty-all versions required
by hadoop and spark..
was:
When running tests in yarn-client mode that were built with Spark 2 I'm getting
the following exception:
{code}
Caused by: java.lang.IllegalStateException: Library directory
'...../pig/assembly/target/scala-2.11/jars' does not exist; make sure Spark is
built.
at
org.apache.spark.launcher.CommandBuilderUtils.checkState(CommandBuilderUtils.java:248)
at
org.apache.spark.launcher.CommandBuilderUtils.findJarsDir(CommandBuilderUtils.java:368)
at
org.apache.spark.launcher.YarnCommandBuilderUtils$.findJarsDir(YarnCommandBuilderUtils.scala:38)
at
org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:558)
at
org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:882)
{code}
After overcoming this with symlinks and setting SPARK_MASTER I hit another
issue:
{code}
Caused by: java.lang.NoSuchMethodError:
io.netty.channel.DefaultFileRegion.<init>(Ljava/io/File;JJ)V
at
org.apache.spark.network.buffer.FileSegmentManagedBuffer.convertToNetty(FileSegmentManagedBuffer.java:133)
at
org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:58)
at
org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:33)
at
io.netty.handler.codec.MessageToMessageEncoder.write(MessageToMessageEncoder.java:89)
{code}
I believe this will be an incompatibility between netty-all versions required
by hadoop and spark..
> Yarn-client mode doesn't work with Spark 2
> ------------------------------------------
>
> Key: PIG-5297
> URL: https://issues.apache.org/jira/browse/PIG-5297
> Project: Pig
> Issue Type: Sub-task
> Components: spark
> Reporter: Adam Szita
> Assignee: Adam Szita
>
> When running tests in yarn-client mode that were built with Spark 2 I'm
> getting the following exception:
> {code}
> Caused by: java.lang.IllegalStateException: Library directory
> '...../pig/assembly/target/scala-2.11/jars' does not exist; make sure Spark
> is built.
> at
> org.apache.spark.launcher.CommandBuilderUtils.checkState(CommandBuilderUtils.java:248)
> at
> org.apache.spark.launcher.CommandBuilderUtils.findJarsDir(CommandBuilderUtils.java:368)
> at
> org.apache.spark.launcher.YarnCommandBuilderUtils$.findJarsDir(YarnCommandBuilderUtils.scala:38)
> at
> org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:558)
> at
> org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:882)
> {code}
> After overcoming this with symlinks and setting SPARK_HOME I hit another
> issue:
> {code}
> Caused by: java.lang.NoSuchMethodError:
> io.netty.channel.DefaultFileRegion.<init>(Ljava/io/File;JJ)V
> at
> org.apache.spark.network.buffer.FileSegmentManagedBuffer.convertToNetty(FileSegmentManagedBuffer.java:133)
> at
> org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:58)
> at
> org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:33)
> at
> io.netty.handler.codec.MessageToMessageEncoder.write(MessageToMessageEncoder.java:89)
> {code}
> I believe this will be an incompatibility between netty-all versions required
> by hadoop and spark..
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