[jira] [Updated] (DLAB-308) [Local spark]: Spark.executor.memory should be allocated depending on notebook instance shape

[ https://issues.apache.org/jira/browse/DLAB-308?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-308: --- Labels: 2.3_old AWS AZURE Debian DevOps GCP Known_issues(release2.2) Known_issues(release2.3) RedHat (

[jira] [Updated] (DLAB-308) [Local spark]: Spark.executor.memory should be allocated depending on notebook instance shape

[ https://issues.apache.org/jira/browse/DLAB-308?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-308: --- Fix Version/s: v.2.3 Sprint: Apache DLab release 2.3 > [Local spark]: Spark.executor.memory

[jira] [Updated] (DLAB-308) [Local spark]: Spark.executor.memory should be allocated depending on notebook instance shape

[ https://issues.apache.org/jira/browse/DLAB-308?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-308: --- Sprint: (was: Apache DLab release 2.3) > [Local spark]: Spark.executor.memory should be allocated dep

[jira] [Updated] (DLAB-308) [Local spark]: Spark.executor.memory should be allocated depending on notebook instance shape

[ https://issues.apache.org/jira/browse/DLAB-308?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-308: --- Labels: Debian DevOps RedHat (was: DevOps) Component/s: GCP Azure

[jira] [Updated] (DLAB-308) [Local spark]: Spark.executor.memory should be allocated depending on notebook instance shape

[ https://issues.apache.org/jira/browse/DLAB-308?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-308: --- Sprint: Apache DLab release 1.1 (was: Apache DLab release 1.0) > [Local spark]: Spark.executor.memory