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https://issues.apache.org/jira/browse/SPARK-18112?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16630542#comment-16630542
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Hyukjin Kwon commented on SPARK-18112:
--------------------------------------
To be more specific, the code you guys pointed out is executed by Spark's Hive
fork 1.2.1 which contains that configuration
(https://github.com/apache/hive/blob/branch-1.2/common/src/java/org/apache/hadoop/hive/conf/HiveConf.java#L1290)
That's meant to be executed with Spark's Hive fork. So you should leave the jar
as is. And then, the higher jars for Hive to create Hive client should be
provided to {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} should be set accordingly.
The problem here looks, you guys completely replaced the jars into higher Hive
jars. Therefore, it throws {{NoSuchFieldError}}
I recently manually tested 1.2.1, 2.3.0 and 3.0.0 (against
https://github.com/apache/spark/pull/21404) in few months ago against Apache
Spark. I am pretty sure that it works for now.
If I am mistaken or misunderstood at some points, please provide a reproducible
step, or at least why it fails. Let me take a look.
> Spark2.x does not support read data from Hive 2.x metastore
> -----------------------------------------------------------
>
> Key: SPARK-18112
> URL: https://issues.apache.org/jira/browse/SPARK-18112
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.0.1
> Reporter: KaiXu
> Assignee: Xiao Li
> Priority: Critical
> Fix For: 2.2.0
>
>
> Hive2.0 has been released in February 2016, after that Hive2.0.1 and
> Hive2.1.0 have also been released for a long time, but till now spark only
> support to read hive metastore data from Hive1.2.1 and older version, since
> Hive2.x has many bugs fixed and performance improvement it's better and
> urgent to upgrade to support Hive2.x
> failed to load data from hive2.x metastore:
> Exception in thread "main" java.lang.NoSuchFieldError: HIVE_STATS_JDBC_TIMEOUT
> at
> org.apache.spark.sql.hive.HiveUtils$.hiveClientConfigurations(HiveUtils.scala:197)
> at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:262)
> at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39)
> at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38)
> at
> org.apache.spark.sql.hive.HiveSharedState.externalCatalog$lzycompute(HiveSharedState.scala:4
> at
> org.apache.spark.sql.hive.HiveSharedState.externalCatalog(HiveSharedState.scala:45)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog$lzycompute(HiveSessionState.scala:50)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog(HiveSessionState.scala:48)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog(HiveSessionState.scala:31)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:568)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:564)
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