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https://issues.apache.org/jira/browse/MAHOUT-1762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15898336#comment-15898336
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ASF GitHub Bot commented on MAHOUT-1762:
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Github user rawkintrevo commented on the issue:
https://github.com/apache/mahout/pull/292
@pferrel no, the real problem was that the classes were not being shipped
out to the cluster. This solves by leveraging spark-submit to ship jars.
> Pick up $SPARK_HOME/conf/spark-defaults.conf on startup
> -------------------------------------------------------
>
> Key: MAHOUT-1762
> URL: https://issues.apache.org/jira/browse/MAHOUT-1762
> Project: Mahout
> Issue Type: Improvement
> Components: spark
> Reporter: Sergey Tryuber
> Assignee: Trevor Grant
> Fix For: 0.13.0
>
>
> [spark-defaults.conf|http://spark.apache.org/docs/latest/configuration.html#dynamically-loading-spark-properties]
> is aimed to contain global configuration for Spark cluster. For example, in
> our HDP2.2 environment it contains:
> {noformat}
> spark.driver.extraJavaOptions -Dhdp.version=2.2.0.0–2041
> spark.yarn.am.extraJavaOptions -Dhdp.version=2.2.0.0–2041
> {noformat}
> and there are many other good things. Actually it is expected that when a
> user starts Spark Shell, it will be working fine. Unfortunately this does not
> happens with Mahout Spark Shell, because it ignores spark configuration and
> user has to copy-past lots of options into _MAHOUT_OPTS_.
> This happens because
> [org.apache.mahout.sparkbindings.shell.Main|https://github.com/apache/mahout/blob/master/spark-shell/src/main/scala/org/apache/mahout/sparkbindings/shell/Main.scala]
> is executed directly in [initialization
> script|https://github.com/apache/mahout/blob/master/bin/mahout]:
> {code}
> "$JAVA" $JAVA_HEAP_MAX $MAHOUT_OPTS -classpath "$CLASSPATH"
> "org.apache.mahout.sparkbindings.shell.Main" $@
> {code}
> In contrast, in Spark shell is indirectly invoked through spark-submit in
> [spark-shell|https://github.com/apache/spark/blob/master/bin/spark-shell]
> script:
> {code}
> "$FWDIR"/bin/spark-submit --class org.apache.spark.repl.Main "$@"
> {code}
> [SparkSubmit|https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala]
> contains an additional initialization layer for loading properties file (see
> SparkSubmitArguments#mergeDefaultSparkProperties method).
> So there are two possible solutions:
> * use proper Spark-like initialization logic
> * use thin envelope like it is in H2O Sparkling Water
> ([sparkling-shell|https://github.com/h2oai/sparkling-water/blob/master/bin/sparkling-shell])
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