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https://issues.apache.org/jira/browse/SPARK-23388?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16361990#comment-16361990
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Wenchen Fan commented on SPARK-23388:
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This is an interoperability problem: although Spark SQL always write out large
precision decimal type as fixed-length-byte-array, Parquet spec also allow
binary. In Spark 2.3 we may not be able to read parquet files written by other
systems because of this bug.
cc [~sameerag] shall we include it in Spark 2.3.0?
> Support for Parquet Binary DecimalType in VectorizedColumnReader
> ----------------------------------------------------------------
>
> Key: SPARK-23388
> URL: https://issues.apache.org/jira/browse/SPARK-23388
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: James Thompson
> Assignee: James Thompson
> Priority: Major
> Fix For: 2.3.1
>
>
> The following commit to spark removed support for decimal binary types:
> [https://github.com/apache/spark/commit/9c29c557635caf739fde942f53255273aac0d7b1#diff-7bdf5fd0ce0b1ccbf4ecf083611976e6R428]
> As per the parquet spec, decimal can be used to annotate binary types, so
> support should be re-added:
> [https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#decimal]
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