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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 03:59:33 UTC
[jira] [Updated] (SPARK-20188) Catalog recoverPartitions should
allow specifying the database name
[ https://issues.apache.org/jira/browse/SPARK-20188?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-20188:
---------------------------------
Labels: bulk-closed (was: )
> Catalog recoverPartitions should allow specifying the database name
> -------------------------------------------------------------------
>
> Key: SPARK-20188
> URL: https://issues.apache.org/jira/browse/SPARK-20188
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Felix Cheung
> Priority: Major
> Labels: bulk-closed
>
> Currently Catalog.recoverParitions only has a tableName parameter
> https://github.com/apache/spark/blob/9effc2cdcb3d68db8b6b5b3abd75968633b583c8/sql/core/src/main/scala/org/apache/spark/sql/catalog/Catalog.scala#L397
> But it throws an exception when the table is not in the default database.
> Caused by: org.apache.spark.sql.catalyst.analysis.NoSuchTableException: Table or view 'foo' not found in database 'default';
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.requireTableExists(SessionCatalog.scala:154)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.getTableMetadata(SessionCatalog.scala:317)
> at org.apache.spark.sql.execution.command.AlterTableRecoverPartitionsCommand.run(ddl.scala:563)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
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