[ 
https://issues.apache.org/jira/browse/YARN-9947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16966448#comment-16966448
 ] 

Hu Ziqian commented on YARN-9947:
---------------------------------

[~taoyang], [~leftnoteasy] could you help me to review this issue?

> lazy init appLogAggregatorImpl when log aggregation
> ---------------------------------------------------
>
>                 Key: YARN-9947
>                 URL: https://issues.apache.org/jira/browse/YARN-9947
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: nodemanager
>    Affects Versions: 3.1.3
>            Reporter: Hu Ziqian
>            Assignee: Hu Ziqian
>            Priority: Major
>         Attachments: YARN-9947.001.patch
>
>
> This issue introduce an method to lazy init appLogAggregatorImpl, which let 
> it access hdfs as later as possible (when the app finish usually), to avoid 
> access hdfs at same time when restart NMs in a cluster and reduce hdfs 
> pressure. Lets go into the details below. 
> In current version, app log aggregator will check HDFS and try to create log 
> app when init an app. This cause a problem when restart NMs in a  large 
> cluster with a heavy hdfs. Restart NM will init all apps on a NM and the NM 
> will try to connect HDFS. If the HDFS is heavily loaded, many NMs restart at 
> same time will let the hdfs not respond. The NM will wait for HDFS's response 
> and RM can't get NM's heartbeat and treat all containers as timeout.
> In our product environment with 3500+ NMs, we find the NMs restart will put 
> heavy pressure on HDFS and the init app's operation is blocked on accessing 
> hdfs (stack attached blow), which causes all the  container failed (we can 
> find the container number in one NM fall to zero).
> !https://teambition-file.alibaba-inc.com/storage/011mcaf1aebf84f02a5d2c2c5fa85af80f5b?download=upload_tfs_by_description.png&Signature=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJBcHBJRCI6IjVjZDkwOTdmYjNhNDMyMjk3OTBhN2EyZiIsIl9hcHBJZCI6IjVjZDkwOTdmYjNhNDMyMjk3OTBhN2EyZiIsIl9vcmdhbml6YXRpb25JZCI6IjVjNDA1N2YwYmU4MjViMzkwNjY3YWJlZSIsImV4cCI6MTU3MjgzNzQxMywiaWF0IjoxNTcyODM3MTEzLCJyZXNvdXJjZSI6Ii9zdG9yYWdlLzAxMW1jYWYxYWViZjg0ZjAyYTVkMmMyYzVmYTg1YWY4MGY1YiJ9.JJQoQvjWdAQItQkjtdxa1SnkqJWuij_w2xq2Unoaktg!
> !https://teambition-file.alibaba-inc.com/storage/011m873079212ee7fe507ddbe163a0c07fb1?download=upload_tfs_by_description.png&Signature=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJBcHBJRCI6IjVjZDkwOTdmYjNhNDMyMjk3OTBhN2EyZiIsIl9hcHBJZCI6IjVjZDkwOTdmYjNhNDMyMjk3OTBhN2EyZiIsIl9vcmdhbml6YXRpb25JZCI6IjVjNDA1N2YwYmU4MjViMzkwNjY3YWJlZSIsImV4cCI6MTU3MjgzNzQxMywiaWF0IjoxNTcyODM3MTEzLCJyZXNvdXJjZSI6Ii9zdG9yYWdlLzAxMW04NzMwNzkyMTJlZTdmZTUwN2RkYmUxNjNhMGMwN2ZiMSJ9.kH73n6bdx8ETXsrWcBGgXGay2WP3z9nzuDlE8-RvQzs!
> We solve this problem by introduce lazy initialization in 
> appLogAggregatorImpl. When init app, we just create appLogAggregatorImpl 
> object with out verifyAndCreateRemoteLogDir(). We do the 
> verifyAndCreateRemoteLogDir() when the app start aggregate logs. Because apps 
> always are not finish or aggregate log at same time, the 
> verifyAndCreateRemoteLogDir will execute dispersedly, which means NMs will 
> not access hdfs at same time when they restart at same time.
>  
> YARN-8418  solve the container logs' directory leaked problem by add a way to 
> update credentials of NM. If we lazy init appLogAggregatorImpl, we don't need 
> YARN-8418's logic because the lazy init logic happens after addCredentials 
> logic, which means the credentials always refreshed before we use it.
>  
> In summary, this issue do two things:
>  # Introducing a lazy init logic to appLogAggregatorImpl to avoid centralized 
> access HDFS when  restart all NMs in a cluster.
>  # Reverting YARN-8481 because the lazy init logic guarantee refreshing the 
> credentials.



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

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

Reply via email to