liyunzhang_intel created HIVE-15313: ---------------------------------------
Summary: Add export spark.yarn.archive or spark.yarn.jars variable in Hive on Spark document Key: HIVE-15313 URL: https://issues.apache.org/jira/browse/HIVE-15313 Project: Hive Issue Type: Bug Reporter: liyunzhang_intel Priority: Minor According to [wiki|https://cwiki.apache.org/confluence/display/Hive/Hive+on+Spark%3A+Getting+Started], run queries in HOS16 and HOS20 in yarn mode. Following table shows the difference in query time between HOS16 and HOS20. ||Version||Total time||Time for Jobs||Time for preparing jobs|| |Spark16|51|39|12| |Spark20|54|40|14| HOS20 spends more time(2 secs) on preparing jobs than HOS16. After reviewing the source code of spark, found that following point causes this: code:[Client#distribute|https://github.com/apache/spark/blob/master/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala#L546], In spark20, if spark cannot find spark.yarn.archive and spark.yarn.jars in spark configuration file, it will first copy all jars in $SPARK_HOME/jars to a tmp directory and upload the tmp directory to distribute cache. Comparing [spark16|https://github.com/apache/spark/blob/branch-1.6/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala#L1145], In spark16, it will find spark-assembly*.jar and upload it to distribute cache. In spark20, it spends 2 more seconds to copy all jars in $SPARK_HOME/jar to a tmp directory. We can accelerate the startup of hive on spark 20 by settintg "spark.yarn.archive" or "spark.yarn.jars": set "spark.yarn.archive": {code} zip spark-archive.zip $SPARK_HOME/jars/* $ hadoop fs -copyFromLocal spark-archive.zip $ echo "spark.yarn.archive=hdfs:///xxx:8020/spark-archive.zip" >> conf/spark-defaults.conf {code} set "spark.yarn.jars": {code} $ hadoop fs mkdir spark-2.0.0-bin-hadoop $hadoop fs -copyFromLocal $SPARK_HOME/jars/* spark-2.0.0-bin-hadoop $ echo "spark.yarn.jars=hdfs:///xxx:8020/spark-2.0.0-bin-hadoop/*" >> conf/spark-defaults.conf {code} Suggest to add this part in wiki. -- This message was sent by Atlassian JIRA (v6.3.4#6332)