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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2016/01/20 00:18:39 UTC
[jira] [Updated] (SPARK-12913) Reimplement all builtin aggregate
functions as declarative function
[ https://issues.apache.org/jira/browse/SPARK-12913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu updated SPARK-12913:
-------------------------------
Description:
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.
was:
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.
> Reimplement all builtin aggregate functions 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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