[jira] [Resolved] (SPARK-2854) Finalize _acceptable_types in pyspark.sql

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-2854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-2854.
-------------------------------------

       Resolution: Fixed
    Fix Version/s: 1.1.0
         Assignee: Yin Huai

> Finalize _acceptable_types in pyspark.sql
> -----------------------------------------
>
>                 Key: SPARK-2854
>                 URL: https://issues.apache.org/jira/browse/SPARK-2854
>             Project: Spark
>          Issue Type: Task
>          Components: SQL
>            Reporter: Yin Huai
>            Assignee: Yin Huai
>            Priority: Blocker
>             Fix For: 1.1.0
>
>
> In PySpark, _acceptable_types defines accepted Python data types for every Spark SQL data type. The list is shown below. 
> {code}
> _acceptable_types = {
>     BooleanType: (bool,),
>     ByteType: (int, long),
>     ShortType: (int, long),
>     IntegerType: (int, long),
>     LongType: (int, long),
>     FloatType: (float,),
>     DoubleType: (float,),
>     DecimalType: (decimal.Decimal,),
>     StringType: (str, unicode),
>     TimestampType: (datetime.datetime, datetime.time, datetime.date),
>     ArrayType: (list, tuple, array),
>     MapType: (dict,),
>     StructType: (tuple, list),
> }
> {code}
> Let's double check this mapping before 1.1 release.



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