[jira] [Commented] (SPARK-7661) Support for dynamic allocation of resources in Kinesis Spark Streaming

["Takeshi Yamamuro (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15906164#comment-15906164 ] 

Takeshi Yamamuro commented on SPARK-7661:
-----------------------------------------

I think most of parts have been resolved in SPARK-12133. If we need more to implement for kinesis, we should file more concrete tickets. So, I'll close this. Thanks.

> Support for dynamic allocation of resources in Kinesis Spark Streaming
> ----------------------------------------------------------------------
>
>                 Key: SPARK-7661
>                 URL: https://issues.apache.org/jira/browse/SPARK-7661
>             Project: Spark
>          Issue Type: New Feature
>          Components: DStreams
>    Affects Versions: 1.3.1
>         Environment: AWS-EMR
>            Reporter: Murtaza Kanchwala
>
> Currently the no. of cores is (N + 1), where N is no. of shards in a Kinesis Stream.
> My Requirement is that if I use this Resharding util for Amazon Kinesis :
> Amazon Kinesis Resharding : https://github.com/awslabs/amazon-kinesis-scaling-utils
> Then there should be some way to allocate executors on the basis of no. of shards directly (for Spark Streaming only).



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