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https://issues.apache.org/jira/browse/SPARK-16006?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tathagata Das updated SPARK-16006:
----------------------------------
Description:
Attempting to write an emptyDataFrame created with
{{sparkSession.emptyDataFrame.write.text("p")}} fails with the following
exception
{code}
[info] org.apache.spark.sql.AnalysisException: Cannot use all columns for
partition columns;
[info] at
org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355)
[info] at
org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:432)
[info] at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:213)
[info] at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:196)
[info] at org.apache.spark.sql.DataFrameWriter.text(DataFrameWriter.scala:525)
{code}
This is because # fields == # partitioning columns = 0 at
org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355).
This is a non-intuitive error message. Better error message "Cannot write
dataset with no fields".
was:
Attempting to write an emptyDataFrame created with
{{spark.read.text().write.text("p")}} fails with the following exception
{code}
[info] - text API *** FAILED *** (218 milliseconds)
[info] org.apache.spark.sql.AnalysisException: Cannot use all columns for
partition columns;
[info] at
org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355)
[info] at
org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:432)
[info] at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:213)
[info] at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:196)
[info] at org.apache.spark.sql.DataFrameWriter.text(DataFrameWriter.scala:525)
{code}
This is because # fields == # partitioning columns = 0 at
org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355)
> Empty DataFrame with no fields created with spark.read.text() cannot be
> written as it has no fields
> ---------------------------------------------------------------------------------------------------
>
> Key: SPARK-16006
> URL: https://issues.apache.org/jira/browse/SPARK-16006
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Tathagata Das
>
> Attempting to write an emptyDataFrame created with
> {{sparkSession.emptyDataFrame.write.text("p")}} fails with the following
> exception
> {code}
> [info] org.apache.spark.sql.AnalysisException: Cannot use all columns for
> partition columns;
> [info] at
> org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355)
> [info] at
> org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:432)
> [info] at
> org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:213)
> [info] at
> org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:196)
> [info] at
> org.apache.spark.sql.DataFrameWriter.text(DataFrameWriter.scala:525)
> {code}
> This is because # fields == # partitioning columns = 0 at
> org.apache.spark.sql.execution.datasources.PartitioningUtils$.validatePartitionColumn(PartitioningUtils.scala:355).
> This is a non-intuitive error message. Better error message "Cannot write
> dataset with no fields".
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