[jira] [Updated] (SPARK-1706) Allow multiple executors per worker in Standalone mode
[ https://issues.apache.org/jira/browse/SPARK-1706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Andrew Or updated SPARK-1706: - Affects Version/s: 1.0.0 > Allow multiple executors per worker in Standalone mode > -- > > Key: SPARK-1706 > URL: https://issues.apache.org/jira/browse/SPARK-1706 > Project: Spark > Issue Type: Improvement > Components: Deploy >Affects Versions: 1.0.0 >Reporter: Patrick Wendell >Assignee: Nan Zhu > > Right now if people want to launch multiple executors on each machine they > need to start multiple standalone workers. This is not too difficult, but it > means you have extra JVM's sitting around. > We should just allow users to set a number of cores they want per-executor in > standalone mode and then allow packing multiple executors on each node. This > would make standalone mode more consistent with YARN in the way you request > resources. > It's not too big of a change as far as I can see. You'd need to: > 1. Introduce a configuration for how many cores you want per executor. > 2. Change the scheduling logic in Master.scala to take this into account. > 3. Change CoarseGrainedSchedulerBackend to not assume a 1<->1 correspondence > between hosts and executors. > And maybe modify a few other places. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-1706) Allow multiple executors per worker in Standalone mode
[ https://issues.apache.org/jira/browse/SPARK-1706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Patrick Wendell updated SPARK-1706: --- Fix Version/s: (was: 1.3.0) > Allow multiple executors per worker in Standalone mode > -- > > Key: SPARK-1706 > URL: https://issues.apache.org/jira/browse/SPARK-1706 > Project: Spark > Issue Type: Improvement > Components: Deploy >Reporter: Patrick Wendell >Assignee: Nan Zhu > > Right now if people want to launch multiple executors on each machine they > need to start multiple standalone workers. This is not too difficult, but it > means you have extra JVM's sitting around. > We should just allow users to set a number of cores they want per-executor in > standalone mode and then allow packing multiple executors on each node. This > would make standalone mode more consistent with YARN in the way you request > resources. > It's not too big of a change as far as I can see. You'd need to: > 1. Introduce a configuration for how many cores you want per executor. > 2. Change the scheduling logic in Master.scala to take this into account. > 3. Change CoarseGrainedSchedulerBackend to not assume a 1<->1 correspondence > between hosts and executors. > And maybe modify a few other places. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-1706) Allow multiple executors per worker in Standalone mode
[ https://issues.apache.org/jira/browse/SPARK-1706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Patrick Wendell updated SPARK-1706: --- Fix Version/s: (was: 1.2.0) 1.3.0 > Allow multiple executors per worker in Standalone mode > -- > > Key: SPARK-1706 > URL: https://issues.apache.org/jira/browse/SPARK-1706 > Project: Spark > Issue Type: Improvement > Components: Deploy >Reporter: Patrick Wendell >Assignee: Nan Zhu > Fix For: 1.3.0 > > > Right now if people want to launch multiple executors on each machine they > need to start multiple standalone workers. This is not too difficult, but it > means you have extra JVM's sitting around. > We should just allow users to set a number of cores they want per-executor in > standalone mode and then allow packing multiple executors on each node. This > would make standalone mode more consistent with YARN in the way you request > resources. > It's not too big of a change as far as I can see. You'd need to: > 1. Introduce a configuration for how many cores you want per executor. > 2. Change the scheduling logic in Master.scala to take this into account. > 3. Change CoarseGrainedSchedulerBackend to not assume a 1<->1 correspondence > between hosts and executors. > And maybe modify a few other places. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-1706) Allow multiple executors per worker in Standalone mode
[ https://issues.apache.org/jira/browse/SPARK-1706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Patrick Wendell updated SPARK-1706: --- Fix Version/s: (was: 1.1.0) 1.2.0 > Allow multiple executors per worker in Standalone mode > -- > > Key: SPARK-1706 > URL: https://issues.apache.org/jira/browse/SPARK-1706 > Project: Spark > Issue Type: Improvement > Components: Deploy >Reporter: Patrick Wendell >Assignee: Nan Zhu > Fix For: 1.2.0 > > > Right now if people want to launch multiple executors on each machine they > need to start multiple standalone workers. This is not too difficult, but it > means you have extra JVM's sitting around. > We should just allow users to set a number of cores they want per-executor in > standalone mode and then allow packing multiple executors on each node. This > would make standalone mode more consistent with YARN in the way you request > resources. > It's not too big of a change as far as I can see. You'd need to: > 1. Introduce a configuration for how many cores you want per executor. > 2. Change the scheduling logic in Master.scala to take this into account. > 3. Change CoarseGrainedSchedulerBackend to not assume a 1<->1 correspondence > between hosts and executors. > And maybe modify a few other places. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-1706) Allow multiple executors per worker in Standalone mode
[ https://issues.apache.org/jira/browse/SPARK-1706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Patrick Wendell updated SPARK-1706: --- Component/s: (was: Spark Core) Deploy > Allow multiple executors per worker in Standalone mode > -- > > Key: SPARK-1706 > URL: https://issues.apache.org/jira/browse/SPARK-1706 > Project: Spark > Issue Type: Improvement > Components: Deploy >Reporter: Patrick Wendell > Fix For: 1.1.0 > > > Right now if people want to launch multiple executors on each machine they > need to start multiple standalone workers. This is not too difficult, but it > means you have extra JVM's sitting around. > We should just allow users to set a number of cores they want per-executor in > standalone mode and then allow packing multiple executors on each node. This > would make standalone mode more consistent with YARN in the way you request > resources. > It's not too big of a change as far as I can see. You'd need to: > 1. Introduce a configuration for how many cores you want per executor. > 2. Change the scheduling logic in Master.scala to take this into account. > 3. Change CoarseGrainedSchedulerBackend to not assume a 1<->1 correspondence > between hosts and executors. > And maybe modify a few other places. -- This message was sent by Atlassian JIRA (v6.2#6252)
