[ 
https://issues.apache.org/jira/browse/PIG-5246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

liyunzhang_intel updated PIG-5246:
----------------------------------
    Attachment: PIG-5246_2.patch

[~zjffdu]:
in PIG-5246_2.patch
use following way to judge spark version
{code}
+    $SPARK_HOME/bin/spark-submit --version >/tmp/spark.version 2>&1
+    isSpark1=`grep "version 1" /tmp/spark.version|wc -l`
+    if [ "$isSpark1" -eq 0 ];then 
+          sparkversion="2"
     fi
{code}

redirect the output of "spark-submit --version" to /tmp/spark.version(later 
will remove this file), Is there any better way to judge the version? 

> Modify bin/pig about SPARK_HOME, SPARK_ASSEMBLY_JAR after upgrading spark to 2
> ------------------------------------------------------------------------------
>
>                 Key: PIG-5246
>                 URL: https://issues.apache.org/jira/browse/PIG-5246
>             Project: Pig
>          Issue Type: Bug
>            Reporter: liyunzhang_intel
>            Assignee: liyunzhang_intel
>         Attachments: HBase9498.patch, PIG-5246.1.patch, PIG-5246_2.patch, 
> PIG-5246.patch
>
>
> in bin/pig.
> we copy assembly jar to pig's classpath in spark1.6.
> {code}
> # For spark mode:
> # Please specify SPARK_HOME first so that we can locate 
> $SPARK_HOME/lib/spark-assembly*.jar,
> # we will add spark-assembly*.jar to the classpath.
> if [ "$isSparkMode"  == "true" ]; then
>     if [ -z "$SPARK_HOME" ]; then
>        echo "Error: SPARK_HOME is not set!"
>        exit 1
>     fi
>     # Please specify SPARK_JAR which is the hdfs path of spark-assembly*.jar 
> to allow YARN to cache spark-assembly*.jar on nodes so that it doesn't need 
> to be distributed each time an application runs.
>     if [ -z "$SPARK_JAR" ]; then
>        echo "Error: SPARK_JAR is not set, SPARK_JAR stands for the hdfs 
> location of spark-assembly*.jar. This allows YARN to cache 
> spark-assembly*.jar on nodes so that it doesn't need to be distributed each 
> time an application runs."
>        exit 1
>     fi
>     if [ -n "$SPARK_HOME" ]; then
>         echo "Using Spark Home: " ${SPARK_HOME}
>         SPARK_ASSEMBLY_JAR=`ls ${SPARK_HOME}/lib/spark-assembly*`
>         CLASSPATH=${CLASSPATH}:$SPARK_ASSEMBLY_JAR
>     fi
> fi
> {code}
> after upgrade to spark2.0, we may modify it



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