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Vrushali C commented on YARN-3411: ---------------------------------- After evaluating both approaches of backend storage implementations in terms of their performance, scalability, usability, maintenance as given by YARN-3134 (Phoenix based HBase schema) and YARN-3411 (hybrid HBase schema - vanilla HBase tables in the direct write path and phoenix based tables for reporting), conclusion is to use vanilla hbase tables in the direct write path. Attached to YARN-2928 is a write-up that describes how we ended up choosing the approach of writing to vanilla HBase tables (YARN-3411) in the direct write path. > [Storage implementation] explore the native HBase write schema for storage > -------------------------------------------------------------------------- > > Key: YARN-3411 > URL: https://issues.apache.org/jira/browse/YARN-3411 > Project: Hadoop YARN > Issue Type: Sub-task > Components: timelineserver > Reporter: Sangjin Lee > Assignee: Vrushali C > Priority: Critical > Fix For: YARN-2928 > > Attachments: ATSv2BackendHBaseSchemaproposal.pdf, > YARN-3411-YARN-2928.001.patch, YARN-3411-YARN-2928.002.patch, > YARN-3411-YARN-2928.003.patch, YARN-3411-YARN-2928.004.patch, > YARN-3411-YARN-2928.005.patch, YARN-3411-YARN-2928.006.patch, > YARN-3411-YARN-2928.007.patch, YARN-3411.poc.2.txt, YARN-3411.poc.3.txt, > YARN-3411.poc.4.txt, YARN-3411.poc.5.txt, YARN-3411.poc.6.txt, > YARN-3411.poc.7.txt, YARN-3411.poc.txt > > > There is work that's in progress to implement the storage based on a Phoenix > schema (YARN-3134). > In parallel, we would like to explore an implementation based on a native > HBase schema for the write path. Such a schema does not exclude using > Phoenix, especially for reads and offline queries. > Once we have basic implementations of both options, we could evaluate them in > terms of performance, scalability, usability, etc. and make a call. -- This message was sent by Atlassian JIRA (v6.3.4#6332)