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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/17 05:33:05 UTC
[jira] [Assigned] (SPARK-16006) Attemping to write empty DataFrame
with no fields throw non-intuitive exception
[ https://issues.apache.org/jira/browse/SPARK-16006?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16006:
------------------------------------
Assignee: Apache Spark
> Attemping to write empty DataFrame with no fields throw non-intuitive exception
> -------------------------------------------------------------------------------
>
> Key: SPARK-16006
> URL: https://issues.apache.org/jira/browse/SPARK-16006
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Tathagata Das
> Assignee: Apache Spark
> Priority: Minor
>
> Attempting to write an emptyDataFrame created with {{sparkSession.emptyDataFrame.write.text("p")}} fails with the following exception
> {code}
> org.apache.spark.sql.AnalysisException: Cannot use all columns for partition columns;
> at org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355)
> at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:435)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:213)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:196)
> at org.apache.spark.sql.DataFrameWriter.text(DataFrameWriter.scala:525)
> ... 48 elided
> {code}
> This is because # fields == # partitioning columns = 0 at org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355). This is a non-intuitive error message. Better error message "Cannot write dataset with no fields".
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