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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/03/06 13:18:00 UTC
[jira] [Assigned] (SPARK-26509) Parquet DELTA_BYTE_ARRAY is not
supported in Spark 2.x's Vectorized Reader
[ https://issues.apache.org/jira/browse/SPARK-26509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-26509:
------------------------------------
Assignee: Apache Spark
> Parquet DELTA_BYTE_ARRAY is not supported in Spark 2.x's Vectorized Reader
> --------------------------------------------------------------------------
>
> Key: SPARK-26509
> URL: https://issues.apache.org/jira/browse/SPARK-26509
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Filipe Gonzaga Miranda
> Assignee: Apache Spark
> Priority: Major
> Original Estimate: 40h
> Remaining Estimate: 40h
>
> I get the exception below Spark 2.4 reading parquet files where some columns are DELTA_BYTE_ARRAY encoded.
>
> {code:java}
> java.lang.UnsupportedOperationException: Unsupported encoding: DELTA_BYTE_ARRAY
>
> {code}
>
> If the property:
> spark.sql.parquet.enableVectorizedReader is set to false that works
> The parquet files were written with Parquet V2, and as far as I understand the V2 is the version used in Spark 2.x.
> I did not find any property to change which Parquet Version Spark uses (V1, V2).
> Is there anyway to benefit from the Vectorized Reader? Or this is something like a new implementation to support this version? I would propose so.
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