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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/05/20 21:15:00 UTC
[jira] [Resolved] (SPARK-6674) Use different types to represent
rows used inside and outside Catalyst
[ https://issues.apache.org/jira/browse/SPARK-6674?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust resolved SPARK-6674.
-------------------------------------
Resolution: Duplicate
> Use different types to represent rows used inside and outside Catalyst
> ----------------------------------------------------------------------
>
> Key: SPARK-6674
> URL: https://issues.apache.org/jira/browse/SPARK-6674
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.1.1, 1.2.1, 1.3.0
> Reporter: Cheng Lian
>
> Within Catalyst, we use more efficient classes to represent objects in rows. For example, we use {{o.a.s.sql.types.Decimal}} instead of Java {{BigDecimal}}. When row objects are passed to / from user space, these object get converted by {{ScalaReflection.convertToScala}} / {{ScalaReflection.converToCatalyst}}.
> This approach is error prone because we may occasionally forget to add necessary conversions. It would be better to have a dedicated row type to represent row objects used within Catalyst, thus enforce this convention via type system.
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