[jira] [Resolved] (SPARK-23840) PySpark error when converting a DataFrame to rdd

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-23840?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-23840.
----------------------------------
    Resolution: Invalid

I am leaving this resolved. Sounds there's no way to go further without more information.

> PySpark error when converting a DataFrame to rdd
> ------------------------------------------------
>
>                 Key: SPARK-23840
>                 URL: https://issues.apache.org/jira/browse/SPARK-23840
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.3.0
>            Reporter: Uri Goren
>            Priority: Major
>
> I am running code in the `pyspark` shell on an `emr` cluster, and encountering an error I have never seen before...
> This line works:
> spark.read.parquet(s3_input).take(99)
> While this line causes an exception:
> spark.read.parquet(s3_input).rdd.take(99)
> With
> > TypeError: 'int' object is not iterable



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