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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10399) Off Heap Memory Access for non-JVM libraries (C++)
Date Fri, 06 Apr 2018 06:02:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10399?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16428000#comment-16428000
] 

Apache Spark commented on SPARK-10399:
--------------------------------------

User 'kiszk' has created a pull request for this issue:
https://github.com/apache/spark/pull/20991

> Off Heap Memory Access for non-JVM libraries (C++)
> --------------------------------------------------
>
>                 Key: SPARK-10399
>                 URL: https://issues.apache.org/jira/browse/SPARK-10399
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>            Reporter: Paul Weiss
>            Priority: Major
>
> *Summary*
> Provide direct off-heap memory access to an external non-JVM program such as a c++ library
within the Spark running JVM/executor.  As Spark moves to storing all data into off heap memory
it makes sense to provide access points to the memory for non-JVM programs.
> ----
> *Assumptions*
> * Zero copies will be made during the call into non-JVM library
> * Access into non-JVM libraries will be accomplished via JNI
> * A generic JNI interface will be created so that developers will not need to deal with
the raw JNI call
> * C++ will be the initial target non-JVM use case
> * memory management will remain on the JVM/Spark side
> * the API from C++ will be similar to dataframes as much as feasible and NOT require
expert knowledge of JNI
> * Data organization and layout will support complex (multi-type, nested, etc.) types
> ----
> *Design*
> * Initially Spark JVM -> non-JVM will be supported 
> * Creating an embedded JVM with Spark running from a non-JVM program is initially out
of scope
> ----
> *Technical*
> * GetDirectBufferAddress is the JNI call used to access byte buffer without copy



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