[jira] [Assigned] (SPARK-11319) PySpark silently accepts null values in non-nullable DataFrame fields.

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-11319:
------------------------------------

    Assignee:     (was: Apache Spark)

> PySpark silently accepts null values in non-nullable DataFrame fields.
> ----------------------------------------------------------------------
>
>                 Key: SPARK-11319
>                 URL: https://issues.apache.org/jira/browse/SPARK-11319
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>            Reporter: Kevin Cox
>
> Running the following code with a null value in a non-nullable column silently works. This makes the code incredibly hard to trust.
> {code}
> In [2]: from pyspark.sql.types import *
> In [3]: sqlContext.createDataFrame([(None,)], StructType([StructField("a", TimestampType(), False)])).collect()
> Out[3]: [Row(a=None)]
> {code}



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