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Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2016/09/05 03:29:20 UTC
[jira] [Updated] (SPARK-17393) Error Handling when CTAS Against the
Same Data Source Table Using Overwrite Mode
[ https://issues.apache.org/jira/browse/SPARK-17393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan updated SPARK-17393:
--------------------------------
Assignee: Xiao Li
> Error Handling when CTAS Against the Same Data Source Table Using Overwrite Mode
> --------------------------------------------------------------------------------
>
> Key: SPARK-17393
> URL: https://issues.apache.org/jira/browse/SPARK-17393
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Xiao Li
> Assignee: Xiao Li
> Fix For: 2.1.0
>
>
> When we trying to read a table and then write to the same table using the `Overwrite` save mode, we got a very confusing error message:
> For example,
> {noformat}
> Seq((1, 2)).toDF("i", "j").write.saveAsTable("tab1")
> table("tab1").write.mode(SaveMode.Overwrite).saveAsTable("tab1")
> {noformat}
> {noformat}
> Job aborted.
> org.apache.spark.SparkException: Job aborted.
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply$mcV$sp
> ...
> Caused by: org.apache.spark.SparkException: Task failed while writing rows
> at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:266)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at org.apache.spark.sql.execution.datasources
> {noformat}
> After the PR, we will issue an `AnalysisException`:
> {noformat}
> Cannot overwrite table `tab1` that is also being read from
> {noformat}
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