You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Burak Yavuz (JIRA)" <ji...@apache.org> on 2016/11/29 20:54:59 UTC

[jira] [Created] (SPARK-18634) Issues with exploding Python UDFs

Burak Yavuz created SPARK-18634:
-----------------------------------

             Summary: Issues with exploding Python UDFs
                 Key: SPARK-18634
                 URL: https://issues.apache.org/jira/browse/SPARK-18634
             Project: Spark
          Issue Type: Bug
          Components: PySpark, SQL
    Affects Versions: 2.0.2, 2.1.0
            Reporter: Burak Yavuz


There are some weird issues with exploding Python UDFs in SparkSQL.

There are 2 cases where based on the DataType of the exploded column, the result can be flat out wrong, or corrupt. Seems like something bad is happening when telling Tungsten the schema of the rows during or after applying the UDF.

Please check the attached notebook for reproduction.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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