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Siddharth Wagle commented on YARN-3134: --------------------------------------- Thanks [~vrushalic] *Questions*: - Do the responses to these API calls return any timeseries data?: _GetFlowByAppId_ and _GetAppDetails_ - The set of access patterns do not cover query directly by a metricName. Is there a use case for this? (Note: General use case for driving graphs) - Do you use the hbase native timestamp for querying? This is an obvious optimization for timeseries data, however how do you handle out of band data? > [Storage implementation] Exploiting the option of using Phoenix to access > HBase backend > --------------------------------------------------------------------------------------- > > Key: YARN-3134 > URL: https://issues.apache.org/jira/browse/YARN-3134 > Project: Hadoop YARN > Issue Type: Sub-task > Components: timelineserver > Reporter: Zhijie Shen > Assignee: Zhijie Shen > > Quote the introduction on Phoenix web page: > {code} > Apache Phoenix is a relational database layer over HBase delivered as a > client-embedded JDBC driver targeting low latency queries over HBase data. > Apache Phoenix takes your SQL query, compiles it into a series of HBase > scans, and orchestrates the running of those scans to produce regular JDBC > result sets. The table metadata is stored in an HBase table and versioned, > such that snapshot queries over prior versions will automatically use the > correct schema. Direct use of the HBase API, along with coprocessors and > custom filters, results in performance on the order of milliseconds for small > queries, or seconds for tens of millions of rows. > {code} > It may simply our implementation read/write data from/to HBase, and can > easily build index and compose complex query. -- This message was sent by Atlassian JIRA (v6.3.4#6332)