[jira] [Resolved] (SPARK-23446) Explicitly check supported types in toPandas

["Xiao Li (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-23446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li resolved SPARK-23446.
-----------------------------
       Resolution: Fixed
         Assignee: Hyukjin Kwon
    Fix Version/s: 2.3.0

> Explicitly check supported types in toPandas
> --------------------------------------------
>
>                 Key: SPARK-23446
>                 URL: https://issues.apache.org/jira/browse/SPARK-23446
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 2.3.0
>            Reporter: Hyukjin Kwon
>            Assignee: Hyukjin Kwon
>            Priority: Major
>             Fix For: 2.3.0
>
>
> See:
> {code}
> spark.conf.set("spark.sql.execution.arrow.enabled", "false")
> df = spark.createDataFrame([[bytearray("a")]])
> df.toPandas()
> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
> df.toPandas()
> {code}
> {code}
>      _1
> 0  [97]
>   _1
> 0  a
> {code}
> We didn't finish binary type in Arrow conversion at Python side. We should disallow it.
> Same thine applies to nested timestamps. 



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