[jira] [Created] (DLAB-157) If update the configurations for Spark Standalone the value of Memory per Executor is less than 75% from total

["Vira Vitanska (JIRA)" <ji...@apache.org>]

Vira Vitanska created DLAB-157:
----------------------------------

             Summary: 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
             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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