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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2016/12/06 01:51:58 UTC
[jira] [Resolved] (SPARK-18634) Corruption and Correctness issues
with exploding Python UDFs
[ https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Herman van Hovell resolved SPARK-18634.
---------------------------------------
Resolution: Fixed
Assignee: Liang-Chi Hsieh
Fix Version/s: 2.1.0
2.0.3
> Corruption and Correctness 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
> Assignee: Liang-Chi Hsieh
> Fix For: 2.0.3, 2.1.0
>
>
> 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 code below for reproduction.
> Notebook: https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/6186780348633019/3425836135165635/4343791953238323/latest.html
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