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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/10/29 00:06:34 UTC
[jira] [Commented] (SPARK-3933) Optimize decimal type in Spark SQL
for those with small precision
[ https://issues.apache.org/jira/browse/SPARK-3933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14187667#comment-14187667 ]
Apache Spark commented on SPARK-3933:
-------------------------------------
User 'mateiz' has created a pull request for this issue:
https://github.com/apache/spark/pull/2983
> Optimize decimal type in Spark SQL for those with small precision
> -----------------------------------------------------------------
>
> Key: SPARK-3933
> URL: https://issues.apache.org/jira/browse/SPARK-3933
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Matei Zaharia
> Assignee: Matei Zaharia
>
> With fixed-precision decimals, many decimal values will fit in a Long, so we can use a Decimal class with a mutable Long field to represent the unscaled value, rather than allocating a BigDecimal. We can then do some operations directly on these Long fields.
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