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Posted to yarn-issues@hadoop.apache.org by "Li Lu (JIRA)" <ji...@apache.org> on 2015/07/22 19:50:04 UTC
[jira] [Resolved] (YARN-3595) Performance optimization using
connection cache of Phoenix timeline writer
[ https://issues.apache.org/jira/browse/YARN-3595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Li Lu resolved YARN-3595.
-------------------------
Resolution: Later
Since we're moving phoenix storage to aggregation side, we need to fix this after we have a full story of the offline (time-based) aggregation.
> 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 using this connection cache. Previously we had a draft, but there was one implementation challenge on cache evictions: There may be races between Guava cache's removal listener calls (which close the connection) and normal references to the connection. We need to carefully define the way they synchronize.
> Performance-wise, 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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