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https://issues.apache.org/jira/browse/SPARK-24534?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ricardo Martinelli de Oliveira updated SPARK-24534:
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Description:
As an improvement in the entrypoint.sh script, I'd like to propose spark
entrypoint do a passthrough if driver/executor/init is not the command passed.
Currently it raises an error.
To me more specific, I'm talking about these lines:
[https://github.com/apache/spark/blob/master/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/entrypoint.sh#L113-L114]
This allows the openshift-spark image to continue to function as a Spark
Standalone component, with custom configuration support etc.
was:
As an improvement in the entrypoint.sh script, I'd like to propose spark
entrypoint do a passthrough if driver/executor/init is not the command passed.
Currently it raises an error.
To me more specific, I'm talking about these lines:
[https://github.com/apache/spark/blob/master/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/entrypoint.sh#L113-L114]
This allows the openshift-spark image to continue to function as a Spark
Standalone component, with custom configuration support etc, but double as an
OpenShift spark-on-k8s image.
> Add a way to bypass entrypoint.sh script if no spark cmd is passed
> ------------------------------------------------------------------
>
> Key: SPARK-24534
> URL: https://issues.apache.org/jira/browse/SPARK-24534
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
> Affects Versions: 2.3.0
> Reporter: Ricardo Martinelli de Oliveira
> Priority: Minor
>
> As an improvement in the entrypoint.sh script, I'd like to propose spark
> entrypoint do a passthrough if driver/executor/init is not the command
> passed. Currently it raises an error.
> To me more specific, I'm talking about these lines:
> [https://github.com/apache/spark/blob/master/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/entrypoint.sh#L113-L114]
> This allows the openshift-spark image to continue to function as a Spark
> Standalone component, with custom configuration support etc.
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