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https://issues.apache.org/jira/browse/SPARK-8020?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14570303#comment-14570303
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jeanlyn edited comment on SPARK-8020 at 6/3/15 5:38 AM:
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I had tried to put the settings back to *spark-defaults.conf* just now,and i
builded spark with rc4.I still got the same * ClassNotFoundException* excption
as i mentioned about
was (Author: jeanlyn):
I had tried to put the settings back to *spark-defaults.conf* just now,and i
builded spark with rc4.I still got the same excption as i mentioned about
> Spark SQL conf in spark-defaults.conf make metadataHive get constructed too
> early
> ---------------------------------------------------------------------------------
>
> Key: SPARK-8020
> URL: https://issues.apache.org/jira/browse/SPARK-8020
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0
> Reporter: Yin Huai
> Assignee: Yin Huai
> Priority: Blocker
> Fix For: 1.4.0
>
>
> To correctly construct a {{metadataHive}} object, we need two settings,
> {{spark.sql.hive.metastore.version}} and {{spark.sql.hive.metastore.jars}}.
> If users want to use Hive 0.12's metastore, they need to set
> {{spark.sql.hive.metastore.version}} to {{0.12.0}} and set
> {{spark.sql.hive.metastore.jars}} to {{maven}} or a classpath containing Hive
> and Hadoop's jars. However, any spark sql setting in the
> {{spark-defaults.conf}} will trigger the construction of {{metadataHive}} and
> cause Spark SQL connect to the wrong metastore (e.g. connect to the local
> derby metastore instead of a remove mysql Hive 0.12 metastore). Also, if
> {{spark.sql.hive.metastore.version 0.12.0}} is the first conf set to SQL
> conf, we will get
> {code}
> Exception in thread "main" java.lang.IllegalArgumentException: Builtin jars
> can only be used when hive execution version == hive metastore version.
> Execution: 0.13.1 != Metastore: 0.12.0. Specify a vaild path to the correct
> hive jars using $HIVE_METASTORE_JARS or change
> spark.sql.hive.metastore.version to 0.13.1.
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:186)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:175)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:358)
> at
> org.apache.spark.sql.SQLContext$$anonfun$3.apply(SQLContext.scala:186)
> at
> org.apache.spark.sql.SQLContext$$anonfun$3.apply(SQLContext.scala:185)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
> at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:185)
> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:71)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:53)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.<init>(SparkSQLCLIDriver.scala:248)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:136)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:664)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:169)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:192)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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