Mailing-List: contact issues-help@spark.apache.org; run by ezmlm
Precedence: bulk
Date: Tue, 8 Sep 2015 23:52:45 +0000 (UTC)
From: "Joseph K. Bradley (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12862588.1441756340000.284945.1441756365995@Atlassian.JIRA>
In-Reply-To: <JIRA.12862588.1441756340000@Atlassian.JIRA>
References: <JIRA.12862588.1441756340000@Atlassian.JIRA>
 <JIRA.12862588.1441756340410@arcas>
Subject: [jira] [Created] (SPARK-10496) Efficient DataFrame cumulative sum
MIME-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 7bit

Joseph K. Bradley created SPARK-10496:
-----------------------------------------

             Summary: Efficient DataFrame cumulative sum
                 Key: SPARK-10496
                 URL: https://issues.apache.org/jira/browse/SPARK-10496
             Project: Spark
          Issue Type: Improvement
          Components: SQL
            Reporter: Joseph K. Bradley
            Priority: Minor


Goal: Given a DataFrame with a numeric column X, create a new column Y which is the cumulative sum of X.

This can be done with window functions, but it is not efficient for a large number of rows.  It could be done more efficiently using a prefix sum/scan.


--
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