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https://issues.apache.org/jira/browse/SPARK-21226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-21226:
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Labels: bulk-closed (was: )
> Save empty dataframe in pyspark prints nothing
> ----------------------------------------------
>
> Key: SPARK-21226
> URL: https://issues.apache.org/jira/browse/SPARK-21226
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.0.0, 2.1.0
> Reporter: Carlos M. Casas
> Priority: Minor
> Labels: bulk-closed
>
> I try the following:
> schema = whatever schema you want
> df1 = sqlContext.createDataFrame(sc.emptyRDD(), schema)
> df1.write.parquet("as1")
> and I just get a directory as1 with a _SUCCESS file in it. If I try to read
> that file, I get an exception.
> On the other hand, if I run:
> schema = whatever schema you want
> df2 = sqlContext.createDataFrame([], schema)
> df2.write.parquet("as2")
> I get a directory as2 with some files on it (representing field type
> information?). If I try to read it, it works: it read an empty df with the
> proper schema.
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