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https://issues.apache.org/jira/browse/SPARK-7661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Murtaza Kanchwala updated SPARK-7661:
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Description:
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).
was:
Currently the logic for the no. of executors 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).
> Support for dynamic allocation of executors in Kinesis Spark Streaming
> ----------------------------------------------------------------------
>
> Key: SPARK-7661
> URL: https://issues.apache.org/jira/browse/SPARK-7661
> Project: Spark
> Issue Type: New Feature
> Components: Streaming
> 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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