[jira] [Resolved] (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:all-tabpanel ]

Takeshi Yamamuro resolved SPARK-7661.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

> 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
>             Fix For: 2.0.0
>
>
> 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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