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https://issues.apache.org/jira/browse/HADOOP-18535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17809036#comment-17809036
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Shilun Fan edited comment on HADOOP-18535 at 1/21/24 3:28 PM:
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-3.3.6 release has been fixed, fix version removed 3.4.0-


was (Author: slfan1989):
3.3.6 release has been fixed, fix version removed 3.4.0

> Implement token storage solution based on MySQL
> -----------------------------------------------
>
>                 Key: HADOOP-18535
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18535
>             Project: Hadoop Common
>          Issue Type: Improvement
>            Reporter: Hector Sandoval Chaverri
>            Assignee: Hector Sandoval Chaverri
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 3.4.0, 3.3.6
>
>
> Hadoop RBF supports custom implementations of secret managers. At the moment, 
> the only available implementation is ZKDelegationTokenSecretManagerImpl, 
> which stores tokens and delegation keys in Zookeeper.
> During our investigation, we found that the performance of routers is limited 
> by the writes to the Zookeeper token store, which impacts requests for token 
> creation, renewal and cancellation. An alternative secret manager 
> implementation has been created, based on MySQL, to handle a higher number of 
> writes.
> We measured the throughput of each token operation (create/renew/cancel) on 
> different setups and obtained the following results:
>  # Sending requests directly to Namenode (no RBF):
> Token creations: 290 reqs per sec
> Token renewals: 86 reqs per sec
> Token cancellations: 97 reqs per sec
>  # Sending requests to routers using Zookeeper based secret manager:
> Token creations: 31 reqs per sec
> Token renewals: 29 reqs per sec
> Token cancellations: 40 reqs per sec
>  # Sending requests to routers using SQL based secret manager:
> Token creations: 241 reqs per sec
> Token renewals: 103 reqs per sec
> Token cancellations: 114 reqs per sec
> We noticed a significant improvement when using a SQL secret manager, 
> comparable to the throughput offered by Namenodes.



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