You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2015/05/06 06:08:00 UTC

[jira] [Updated] (SPARK-6810) Performance benchmarks for SparkR

     [ https://issues.apache.org/jira/browse/SPARK-6810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shivaram Venkataraman updated SPARK-6810:
-----------------------------------------
    Target Version/s: 1.5.0  (was: 1.4.0)

> Performance benchmarks for SparkR
> ---------------------------------
>
>                 Key: SPARK-6810
>                 URL: https://issues.apache.org/jira/browse/SPARK-6810
>             Project: Spark
>          Issue Type: New Feature
>          Components: SparkR
>            Reporter: Shivaram Venkataraman
>            Priority: Critical
>
> We should port some performance benchmarks from spark-perf to SparkR for tracking performance regressions / improvements.
> https://github.com/databricks/spark-perf/tree/master/pyspark-tests has a list of PySpark performance benchmarks



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org