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https://issues.apache.org/jira/browse/SPARK-34362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17278954#comment-17278954
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Svitlana Ponomarova commented on SPARK-34362:
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According to Google Dataproc 1.4 documentation it supports Apache Hive 2.3.7:
[https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-1.4]
As I see from sources in *branch-2.4*:
[https://github.com/apache/spark/blob/e7acca22cd1ed9a70fabc9ca143aa06fa8573864/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala#L101]
case "2.3" doesn't have any match to 2.3.7 version
which causes MatchError.
May this part be back-ported from *branch-3.0 ?*
https://github.com/apache/spark/blob/06942331a7db1e6d5e6709ac7009c180c94cc7c0/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala#L107
> scala.MatchError: 2.3 (of class java.lang.String) for Hive on Google Dataproc
> 1.4
> ---------------------------------------------------------------------------------
>
> Key: SPARK-34362
> URL: https://issues.apache.org/jira/browse/SPARK-34362
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.7
> Reporter: Svitlana Ponomarova
> Priority: Critical
>
> According to Google Dataproc 1.4 release notes:
>
> [https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-1.4]
> 2.4.7 is supported spark version.
> Use *spark-hive_2.11-2.4.7.jar* for Hive on Dataproc 1.4 causes:
> {noformat}
> scala.MatchError: 2.3 (of class java.lang.String) scala.MatchError: 2.3
> (of class java.lang.String)
> at
> org.apache.spark.sql.hive.client.IsolatedClientLoader$.hiveVersion(IsolatedClientLoader.scala:89)
>
> at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:300)
> at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:287)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:66)
>
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:65)
> {noformat}
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