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https://issues.apache.org/jira/browse/DLAB-157?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vira Vitanska closed DLAB-157.
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> If update the configurations for Spark Standalone the value of Memory per
> Executor is less than 75% from total
> --------------------------------------------------------------------------------------------------------------
>
> Key: DLAB-157
> URL: https://issues.apache.org/jira/browse/DLAB-157
> Project: Apache DLab
> Issue Type: Bug
> Reporter: Vira Vitanska
> Assignee: Oleh Martushevskyi
> Priority: Major
> Labels: DevOps
> Fix For: 2.1 release
>
>
> *Preconditions:*
> 1. Notebook is created
> *Steps to reproduce:*
> 1. Create custom Spark standalone with parameters:
> [
> {
> "Classification": "spark-defaults",
> "Properties":
> { "spark.shuffle.sort.bypassMergeThreshold": "200" }
> }
> ]
> 2. Update custom Spark standalone with parameters:
> [
> {
> "Classification": "spark-defaults",
> "Properties":
> { "spark.shuffle.sort.bypassMergeThreshold": "250" }
> }
> ]
> 3. run a playbook on remote kernel
> 4. go to Spark standalone (master) UI
> *Actual result:*
> 13% is allocated for Memory per Executor from total
> *Expected result:*
> 75% is allocated for Memory per Executor from total
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