[jira] [Updated] (SPARK-12554) Standalone mode may hang if max cores is not a multiple of executor cores
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https://issues.apache.org/jira/browse/SPARK-12554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-12554:
-
Labels: bulk-closed (was: )
> Standalone mode may hang if max cores is not a multiple of executor cores
> -
>
> Key: SPARK-12554
> URL: https://issues.apache.org/jira/browse/SPARK-12554
> Project: Spark
> Issue Type: Bug
> Components: Deploy, Scheduler
>Affects Versions: 1.5.2
>Reporter: Lijie Xu
>Priority: Minor
> Labels: bulk-closed
>
> In scheduleExecutorsOnWorker() in Master.scala,
> {{val keepScheduling = coresToAssign >= minCoresPerExecutor}} should be
> changed to {{val keepScheduling = coresToAssign > 0}}
> Case 1:
> Suppose that an app's requested cores is 10 (i.e., {{spark.cores.max = 10}})
> and app.coresPerExecutor is 4 (i.e., {{spark.executor.cores = 4}}).
> After allocating two executors (each has 4 cores) to this app, the
> {{app.coresToAssign = 2}} and {{minCoresPerExecutor = coresPerExecutor = 4}},
> so {{keepScheduling = false}} and no extra executor will be allocated to this
> app. If {{spark.scheduler.minRegisteredResourcesRatio}} is set to a large
> number (e.g., > 0.8 in this case), the app will hang and never finish.
> Case 2: if a small app's coresPerExecutor is larger than its requested cores
> (e.g., {{spark.cores.max = 10}}, {{spark.executor.cores = 16}}), {{val
> keepScheduling = coresToAssign >= minCoresPerExecutor}} is always FALSE. As a
> result, this app will never get an executor to run.
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[jira] [Updated] (SPARK-12554) Standalone mode may hang if max cores is not a multiple of executor cores
[
https://issues.apache.org/jira/browse/SPARK-12554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Andrew Or updated SPARK-12554:
--
Priority: Minor (was: Major)
> Standalone mode may hang if max cores is not a multiple of executor cores
> -
>
> Key: SPARK-12554
> URL: https://issues.apache.org/jira/browse/SPARK-12554
> Project: Spark
> Issue Type: Bug
> Components: Deploy, Scheduler
>Affects Versions: 1.5.2
>Reporter: Lijie Xu
>Priority: Minor
>
> In scheduleExecutorsOnWorker() in Master.scala,
> {{val keepScheduling = coresToAssign >= minCoresPerExecutor}} should be
> changed to {{val keepScheduling = coresToAssign > 0}}
> Case 1:
> Suppose that an app's requested cores is 10 (i.e., {{spark.cores.max = 10}})
> and app.coresPerExecutor is 4 (i.e., {{spark.executor.cores = 4}}).
> After allocating two executors (each has 4 cores) to this app, the
> {{app.coresToAssign = 2}} and {{minCoresPerExecutor = coresPerExecutor = 4}},
> so {{keepScheduling = false}} and no extra executor will be allocated to this
> app. If {{spark.scheduler.minRegisteredResourcesRatio}} is set to a large
> number (e.g., > 0.8 in this case), the app will hang and never finish.
> Case 2: if a small app's coresPerExecutor is larger than its requested cores
> (e.g., {{spark.cores.max = 10}}, {{spark.executor.cores = 16}}), {{val
> keepScheduling = coresToAssign >= minCoresPerExecutor}} is always FALSE. As a
> result, this app will never get an executor to run.
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[jira] [Updated] (SPARK-12554) Standalone mode may hang if max cores is not a multiple of executor cores
[
https://issues.apache.org/jira/browse/SPARK-12554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Andrew Or updated SPARK-12554:
--
Summary: Standalone mode may hang if max cores is not a multiple of
executor cores (was: Standalone app scheduler will hang when app.coreToAssign
< minCoresPerExecutor)
> Standalone mode may hang if max cores is not a multiple of executor cores
> -
>
> Key: SPARK-12554
> URL: https://issues.apache.org/jira/browse/SPARK-12554
> Project: Spark
> Issue Type: Bug
> Components: Deploy, Scheduler
>Affects Versions: 1.5.2
>Reporter: Lijie Xu
>
> In scheduleExecutorsOnWorker() in Master.scala,
> {{val keepScheduling = coresToAssign >= minCoresPerExecutor}} should be
> changed to {{val keepScheduling = coresToAssign > 0}}
> Case 1:
> Suppose that an app's requested cores is 10 (i.e., {{spark.cores.max = 10}})
> and app.coresPerExecutor is 4 (i.e., {{spark.executor.cores = 4}}).
> After allocating two executors (each has 4 cores) to this app, the
> {{app.coresToAssign = 2}} and {{minCoresPerExecutor = coresPerExecutor = 4}},
> so {{keepScheduling = false}} and no extra executor will be allocated to this
> app. If {{spark.scheduler.minRegisteredResourcesRatio}} is set to a large
> number (e.g., > 0.8 in this case), the app will hang and never finish.
> Case 2: if a small app's coresPerExecutor is larger than its requested cores
> (e.g., {{spark.cores.max = 10}}, {{spark.executor.cores = 16}}), {{val
> keepScheduling = coresToAssign >= minCoresPerExecutor}} is always FALSE. As a
> result, this app will never get an executor to run.
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