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Posted to issues@spark.apache.org by "Lijie Xu (JIRA)" <ji...@apache.org> on 2015/12/29 12:42:49 UTC
[jira] [Updated] (SPARK-12554) Standalone app scheduler will hang
when app.coreToAssign < minCoresPerExecutor
[ https://issues.apache.org/jira/browse/SPARK-12554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lijie Xu updated SPARK-12554:
-----------------------------
Description:
In scheduleExecutorsOnWorker() in Master.scala,
*val keepScheduling = coresToAssign >= minCoresPerExecutor* should be changed to *val keepScheduling = coresToAssign > 0*
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 the app, the *coresToAssign = 2* and *minCoresPerExecutor = coresPerExecutor = 4*, so *keepScheduling = false* and no extra executor will be allocated to the 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.
In particular, 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 hang and never finish.
was:
In scheduleExecutorsOnWorker() in Master.scala,
*val keepScheduling = coresToAssign >= minCoresPerExecutor* should be changed to *val keepScheduling = coresToAssign > 0*
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 the app, the *coresToAssign = 2* and *minCoresPerExecutor = coresPerExecutor = 4*, so *keepScheduling = false* and no extra executor will be allocated to the app. As a result, the app and the scheduler will hang.
> Standalone app scheduler will hang when app.coreToAssign < minCoresPerExecutor
> ------------------------------------------------------------------------------
>
> 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: Critical
>
> In scheduleExecutorsOnWorker() in Master.scala,
> *val keepScheduling = coresToAssign >= minCoresPerExecutor* should be changed to *val keepScheduling = coresToAssign > 0*
> 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 the app, the *coresToAssign = 2* and *minCoresPerExecutor = coresPerExecutor = 4*, so *keepScheduling = false* and no extra executor will be allocated to the 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.
> In particular, 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 hang and never finish.
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