[ 
https://issues.apache.org/jira/browse/SPARK-23429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17264463#comment-17264463
 ] 

Apache Spark commented on SPARK-23429:
--------------------------------------

User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/31174

> Add executor memory metrics to heartbeat and expose in executors REST API
> -------------------------------------------------------------------------
>
>                 Key: SPARK-23429
>                 URL: https://issues.apache.org/jira/browse/SPARK-23429
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Spark Core
>    Affects Versions: 2.2.1
>            Reporter: Edward Lu
>            Assignee: Edward Lu
>            Priority: Major
>             Fix For: 3.0.0
>
>
> Add new executor level memory metrics ( jvmUsedMemory, onHeapExecutionMemory, 
> offHeapExecutionMemory, onHeapStorageMemory, offHeapStorageMemory, 
> onHeapUnifiedMemory, and offHeapUnifiedMemory), and expose these via the 
> executors REST API. This information will help provide insight into how 
> executor and driver JVM memory is used, and for the different memory regions. 
> It can be used to help determine good values for spark.executor.memory, 
> spark.driver.memory, spark.memory.fraction, and spark.memory.storageFraction.
> Add an ExecutorMetrics class, with jvmUsedMemory, onHeapExecutionMemory, 
> offHeapExecutionMemory, onHeapStorageMemory, and offHeapStorageMemory. This 
> will track the memory usage at the executor level. The new ExecutorMetrics 
> will be sent by executors to the driver as part of the Heartbeat. A heartbeat 
> will be added for the driver as well, to collect these metrics for the driver.
> Modify the EventLoggingListener to log ExecutorMetricsUpdate events if there 
> is a new peak value for one of the memory metrics for an executor and stage. 
> Only the ExecutorMetrics will be logged, and not the TaskMetrics, to minimize 
> additional logging. Analysis on a set of sample applications showed an 
> increase of 0.25% in the size of the Spark history log, with this approach.
> Modify the AppStatusListener to collect snapshots of peak values for each 
> memory metric. Each snapshot has the time, jvmUsedMemory, executionMemory and 
> storageMemory, and list of active stages.
> Add the new memory metrics (snapshots of peak values for each memory metric) 
> to the executors REST API.
> This is a subtask for SPARK-23206. Please refer to the design doc for that 
> ticket for more details.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to