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https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16690595#comment-16690595
]
Sunil Rangwani commented on SPARK-14492:
----------------------------------------
[~srowen] This is exactly not that. It is not about building with varying
versions of Hive. Please refer to the discussions above.
The {{java.lang.NoSuchFieldError}} is a runtime error.
Really the documentation should be updated to say the minimum supported version
of Hive is 1.2.x or this bug should be fixed to support different versions of
Hive as the documentation states.
> Spark SQL 1.6.0 does not work with external Hive metastore 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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