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From "Bryan Cutler (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-27612) Creating a DataFrame in PySpark with ArrayType produces some Rows with Arrays of None
Date Wed, 01 May 2019 16:05:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-27612?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16831092#comment-16831092
] 

Bryan Cutler commented on SPARK-27612:
--------------------------------------

Thanks [~mgaido], it seems like the problem does not happen for me with Python 2, so only
my Python 3 environments. Would you be able to check with Python 3?

> Creating a DataFrame in PySpark with ArrayType produces some Rows with Arrays of None
> -------------------------------------------------------------------------------------
>
>                 Key: SPARK-27612
>                 URL: https://issues.apache.org/jira/browse/SPARK-27612
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>    Affects Versions: 3.0.0
>            Reporter: Bryan Cutler
>            Priority: Major
>
> When creating a DataFrame with type {{ArrayType(IntegerType(), True)}} there ends up
being rows that are filled with None.
>  
> {code:java}
> In [1]: from pyspark.sql.types import ArrayType, IntegerType                                                               
 
> In [2]: df = spark.createDataFrame([[1, 2, 3, 4]] * 100, ArrayType(IntegerType(), True))                                   
 
> In [3]: df.distinct().collect()                                                                                            
 
> Out[3]: [Row(value=[None, None, None, None]), Row(value=[1, 2, 3, 4])]
> {code}
>  
> From this example, it is consistently at elements 97, 98:
> {code:python}
> In [5]: df.collect()[-5:]                                                                                                  
 
> Out[5]: 
> [Row(value=[1, 2, 3, 4]),
>  Row(value=[1, 2, 3, 4]),
>  Row(value=[None, None, None, None]),
>  Row(value=[None, None, None, None]),
>  Row(value=[1, 2, 3, 4])]
> {code}
> This also happens with a type of {{ArrayType(ArrayType(IntegerType(), True))}}



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