[jira] [Assigned] (SPARK-11007) Add dictionary support for CatalystDecimalConverter

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-11007:
------------------------------------

    Assignee: Apache Spark  (was: Cheng Lian)

> Add dictionary support for CatalystDecimalConverter
> ---------------------------------------------------
>
>                 Key: SPARK-11007
>                 URL: https://issues.apache.org/jira/browse/SPARK-11007
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0, 1.4.1, 1.5.0, 1.5.1
>            Reporter: Cheng Lian
>            Assignee: Apache Spark
>
> Currently {{CatalystDecimalConverter}} doesn't explicitly support dictionary encoding. The consequence is that, the underlying Parquet {{ColumnReader}} always sends raw {{Int}}/{{Long}}/{{Binary}} values decoded from the dictionary to {{CatalystDecimalConverter}} even if the column is encoded using a dictionary. By adding explicit dictionary support (similar to what {{CatalystStringConverter}} does), we can avoid constructing decimals repeatedly. This should be especially effective for binary backed decimals.



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