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Posted to issues@spark.apache.org by "Imran Rashid (Jira)" <ji...@apache.org> on 2020/03/17 15:06:01 UTC
[jira] [Updated] (SPARK-25561) HiveClient.getPartitionsByFilter
throws an exception if Hive retries directSql
[ https://issues.apache.org/jira/browse/SPARK-25561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Imran Rashid updated SPARK-25561:
---------------------------------
Description:
In HiveShim.scala, the current behahttps://issues.apache.org/jira/browse/SPARK-25561#vior is that if hive.metastore.try.direct.sql is enabled, we expect the getPartitionsByFilter call to succeed. If it fails, we'll throw a RuntimeException.
However, this might not always be the case. Hive's direct SQL functionality is best-attempt. Meaning, it will fall back to ORM if direct sql fails. Spark should handle that exception correctly if Hive falls back to ORM.
was:
In HiveShim.scala, the current behavior is that if hive.metastore.try.direct.sql is enabled, we expect the getPartitionsByFilter call to succeed. If it fails, we'll throw a RuntimeException.
However, this might not always be the case. Hive's direct SQL functionality is best-attempt. Meaning, it will fall back to ORM if direct sql fails. Spark should handle that exception correctly if Hive falls back to ORM.
> HiveClient.getPartitionsByFilter throws an exception if Hive retries directSql
> ------------------------------------------------------------------------------
>
> Key: SPARK-25561
> URL: https://issues.apache.org/jira/browse/SPARK-25561
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Karthik Manamcheri
> Priority: Major
>
> In HiveShim.scala, the current behahttps://issues.apache.org/jira/browse/SPARK-25561#vior is that if hive.metastore.try.direct.sql is enabled, we expect the getPartitionsByFilter call to succeed. If it fails, we'll throw a RuntimeException.
> However, this might not always be the case. Hive's direct SQL functionality is best-attempt. Meaning, it will fall back to ORM if direct sql fails. Spark should handle that exception correctly if Hive falls back to ORM.
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