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https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hovell resolved SPARK-18634.
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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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