[jira] [Updated] (YARN-3595) Performance optimization using connection cache of Phoenix timeline writer

["Li Lu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/YARN-3595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Li Lu updated YARN-3595:
------------------------
    Summary: Performance optimization using connection cache of Phoenix timeline writer  (was: Performance optimization for the connection cache of Phoenix timeline writer)

> Performance optimization using connection cache of Phoenix timeline writer
> --------------------------------------------------------------------------
>
>                 Key: YARN-3595
>                 URL: https://issues.apache.org/jira/browse/YARN-3595
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Li Lu
>            Assignee: Li Lu
>
> The story about the connection cache in Phoenix timeline storage is a little bit long. In YARN-3033 we planned to have shared writer layer for all collectors in the same collector manager. In this way we can better reuse the same heavy-weight storage layer connection, therefore it's more friendly to conventional storage layer connections which are typically heavy-weight. 
> Phoenix, on the other hand, implements its own connection interface layer to be light-weight, thread-unsafe. To make these connections work with our "multiple collector, single writer" model, we're adding a thread indexed connection cache. However, many performance critical factors are yet to be tested. 
> In this JIRA we're tracing performance optimization efforts for this connection cache. At the very beginning stage we may need to understand:
> # If the current, thread-based indexing is an appropriate approach, or we can use some better ways to index the connections. 
> # the best size of the cache, presumably as the proposed default value of a configuration. 
> # how long we need to preserve a connection in the cache. 
> Please feel free to add this list. 



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