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Posted to issues@nifi.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2017/12/14 02:48:00 UTC
[jira] [Commented] (NIFI-4683) Add ability to execute Spark jobs
via Livy
[ https://issues.apache.org/jira/browse/NIFI-4683?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16290253#comment-16290253 ]
ASF GitHub Bot commented on NIFI-4683:
--------------------------------------
GitHub user mattyb149 opened a pull request:
https://github.com/apache/nifi/pull/2339
NIFI-4683: Add ability to execute Spark jobs and code via Livy
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You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mattyb149/nifi NIFI-4683
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/nifi/pull/2339.patch
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This closes #2339
----
commit fd6b22987f7b78cb2c20b553d302585e5b0a21c4
Author: Matthew Burgess <ma...@apache.org>
Date: 2017-12-14T02:43:35Z
NIFI-4683: Add ability to execute Spark jobs via Livy
----
> Add ability to execute Spark jobs via Livy
> ------------------------------------------
>
> Key: NIFI-4683
> URL: https://issues.apache.org/jira/browse/NIFI-4683
> Project: Apache NiFi
> Issue Type: New Feature
> Components: Extensions
> Reporter: Matt Burgess
> Assignee: Matt Burgess
>
> Proposal for a new feature to enable NiFi users to execute Spark jobs. A natural entry point for this is to use Apache Livy, as it is a "REST service for Apache Spark". This would allow NiFi to submit Spark jobs without needing to bundle a Spark client itself (and maintain versions of Spark, e.g.).
> Some of the components that could be involved include:
> LivySessionController Controller Service (CS) - provides connections to available sessions in Livy
> * Users could request a type of connection or to retrieve the same connection back by session id if available.
> * Properties to configure Livy session such as number of executors, memory
> * Property for connection pool size
> * Will interact with Livy ensure that only connections that are idle/available are added to the pool and checked back in
> * Key for pool could be based on session id or type
> * Ensure to provide any user credentials
> * Leverages SSLContext for security
> LivyProcessor
> * Obtains Spark JARs/files via properties and/or flow file attribute(s)
> * Obtains connection information from LivySessionController
> * Provides attributes to configure session, maintain session id, attach to session id
> * Potential advanced UI available for testing code (probably a follow-on Jira)
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