[jira] [Assigned] (SPARK-34816) Support for Parquet unsigned LogicalTypes

["Kent Yao (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-34816?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kent Yao reassigned SPARK-34816:
--------------------------------

    Assignee: Kent Yao

> Support for Parquet unsigned LogicalTypes
> -----------------------------------------
>
>                 Key: SPARK-34816
>                 URL: https://issues.apache.org/jira/browse/SPARK-34816
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.2.0
>            Reporter: Kent Yao
>            Assignee: Kent Yao
>            Priority: Major
>
> Parquet supports some unsigned datatypes.  Here is the definition related in parquet.thrift
> {code:java}
> /**
>  * Common types used by frameworks(e.g. hive, pig) using parquet.  This helps map
>  * between types in those frameworks to the base types in parquet.  This is only
>  * metadata and not needed to read or write the data.
>  */
>   /**
>    * An unsigned integer value.
>    *
>    * The number describes the maximum number of meaningful data bits in
>    * the stored value. 8, 16 and 32 bit values are stored using the
>    * INT32 physical type.  64 bit values are stored using the INT64
>    * physical type.
>    *
>    */
>   UINT_8 = 11;
>   UINT_16 = 12;
>   UINT_32 = 13;
>   UINT_64 = 14;
> {code}
> Spark does not support unsigned datatypes. In SPARK-10113, we emit an exception with a clear message for them. 
> UInt8-[0:255]
> UInt16-[0:65535]
> UInt32-[0:4294967295]
> UInt64-[0:18446744073709551615]
> Unsigned types - may be used to produce smaller in-memory representations of the data. If the stored value is larger than the maximum allowed by int32 or int64, then the behavior is undefined.
> In this ticket, we try to read them as a higher precision signed type



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