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Posted to issues@spark.apache.org by "Sunil Rangwani (JIRA)" <ji...@apache.org> on 2016/04/28 16:33:12 UTC
[jira] [Updated] (SPARK-14492) Spark SQL 1.6.0 does not work with
Hive version lower than 1.2.0; its not backwards compatible with earlier
version
[ https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sunil Rangwani updated SPARK-14492:
-----------------------------------
Summary: Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version (was: Spark 1.6.0 cannot work with Hive version lower than 1.2.0; its not backwards compatible with earlier version)
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
> -------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Sunil Rangwani
> Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME because this field was introduced in Hive 1.2.0 so its not possible to use Hive metastore version lower than 1.2.0 with Spark. The details of the Hive changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError: METASTORE_CLIENT_SOCKET_LIFETIME
> at org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:101)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.<init>(SparkSQLCLIDriver.scala:267)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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