[jira] [Updated] (SPARK-8887) Explicitly define which data types can be used as dynamic partition columns

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-8887:
-------------------------------
    Issue Type: Sub-task  (was: Improvement)
        Parent: SPARK-5180

> Explicitly define which data types can be used as dynamic partition columns
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-8887
>                 URL: https://issues.apache.org/jira/browse/SPARK-8887
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 1.4.0
>            Reporter: Cheng Lian
>
> {{InsertIntoHadoopFsRelation}} implements Hive compatible dynamic partitioning insertion, which uses {{String.valueOf}} to write encode partition column values into dynamic partition directories. This actually limits the data types that can be used in partition column. For example, string representation of {{StructType}} values is not well defined. However, this limitation is not explicitly enforced.
> There are several things we can improve:
> # Enforce dynamic column data type requirements by adding analysis rules and throws {{AnalysisException}} when violation occurs.
> # Abstract away string representation of various data types, so that we don't need to convert internal representation types (e.g. {{UTF8String}}) to external types (e.g. {{String}}). A set of Hive compatible implementations should be provided to ensure compatibility with Hive.



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