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https://issues.apache.org/jira/browse/HADOOP-18535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Owen O'Malley resolved HADOOP-18535.
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Fix Version/s: 3.3.6
3.4.0
Resolution: Fixed
Thanks, Hector!
> 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: 3.3.6, 3.4.0
>
>
> 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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