[jira] [Updated] (SPARK-21226) Save empty dataframe in pyspark prints nothing

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-21226:
------------------------------
    Priority: Minor  (was: Major)

What is the error?

> 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
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org