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

["Cheng Lian (JIRA)" <ji...@apache.org>]

Cheng Lian created SPARK-8887:
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             Summary: 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: Improvement
          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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