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https://issues.apache.org/jira/browse/SPARK-8887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-8887:
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Target Version/s: 1.5.0 (was: 1.6.0)
> 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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