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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-12913) Reimplement stddev/variance as declarative function
Date Fri, 29 Jan 2016 00:51:40 GMT

     [ https://issues.apache.org/jira/browse/SPARK-12913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-12913:
------------------------------------

    Assignee:     (was: Apache Spark)

> Reimplement stddev/variance as declarative function
> ---------------------------------------------------
>
>                 Key: SPARK-12913
>                 URL: https://issues.apache.org/jira/browse/SPARK-12913
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Davies Liu
>
> As benchmarked and discussed here: https://github.com/apache/spark/pull/10786/files#r50038294.
> Benefits from codegen, the declarative aggregate function could be much faster than imperative
one,  we should re-implement all the builtin aggregate functions as declarative one.
> For skewness and kurtosis, we need to benchmark it to make sure that the declarative
one is actually faster than imperative one.



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