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Posted to issues@spark.apache.org by "Sunil Rangwani (JIRA)" <ji...@apache.org> on 2017/03/31 12:27:41 UTC
[jira] [Comment Edited] (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:comment-tabpanel&focusedCommentId=15950778#comment-15950778 ]
Sunil Rangwani edited comment on SPARK-14492 at 3/31/17 12:27 PM:
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My problem exactly was a) Interacting with Hive metastore of an older version. I set it up with the various spark.sql.hive.metastore.* config options but that didn't work.
I had to do a messy upgrade of the external hive metastore database and service to get it to work.
was (Author: sunil.rangwani):
My problem exactly was a) Interacting with Hive metastore of an older version. I set it up with the various config options spark.sql.hive.metastore.* config options but that didn't work.
I had to do a messy upgrade of the external hive metastore database and service to get it to work.
> 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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