[jira] [Commented] (SPARK-7075) Project Tungsten: Improving Physical Execution

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7075?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14636496#comment-14636496 ] 

Apache Spark commented on SPARK-7075:
-------------------------------------

User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/7592

> Project Tungsten: Improving Physical Execution
> ----------------------------------------------
>
>                 Key: SPARK-7075
>                 URL: https://issues.apache.org/jira/browse/SPARK-7075
>             Project: Spark
>          Issue Type: Epic
>          Components: Block Manager, Shuffle, Spark Core, SQL
>            Reporter: Reynold Xin
>            Assignee: Reynold Xin
>
> Based on our observation, majority of Spark workloads are not bottlenecked by I/O or network, but rather CPU and memory. This project focuses on 3 areas to improve the efficiency of memory and CPU for Spark applications, to push performance closer to the limits of the underlying hardware.
> *Memory Management and Binary Processing*
> - Avoiding non-transient Java objects (store them in binary format), which reduces GC overhead.
> - Minimizing memory usage through denser in-memory data format, which means we spill less.
> - Better memory accounting (size of bytes) rather than relying on heuristics
> - For operators that understand data types (in the case of DataFrames and SQL), work directly against binary format in memory, i.e. have no serialization/deserialization
> *Cache-aware Computation*
> - Faster sorting and hashing for aggregations, joins, and shuffle
> *Code Generation*
> - Faster expression evaluation and DataFrame/SQL operators
> - Faster serializer
> Several parts of project Tungsten leverage the DataFrame model, which gives us more semantics about the application. We will also retrofit the improvements onto Spark’s RDD API whenever possible.



--
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