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From "Ankit Singhal (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (PHOENIX-3271) Distribute UPSERT SELECT across cluster
Date Tue, 10 Jan 2017 09:19:58 GMT

     [ https://issues.apache.org/jira/browse/PHOENIX-3271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ankit Singhal updated PHOENIX-3271:
-----------------------------------
    Attachment: PHOENIX-3271_v3.patch

> Distribute UPSERT SELECT across cluster
> ---------------------------------------
>
>                 Key: PHOENIX-3271
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-3271
>             Project: Phoenix
>          Issue Type: Improvement
>            Reporter: James Taylor
>            Assignee: Ankit Singhal
>             Fix For: 4.10.0
>
>         Attachments: PHOENIX-3271.patch, PHOENIX-3271_v1.patch, PHOENIX-3271_v2.patch,
PHOENIX-3271_v3.patch
>
>
> Based on some informal testing we've done, it seems that creation of a local index is
orders of magnitude faster that creation of global indexes (17 seconds versus 10-20 minutes
- though more data is written in the global index case). Under the covers, a global index
is created through the running of an UPSERT SELECT. Also, UPSERT SELECT provides an easy way
of copying a table. In both of these cases, the data being upserted must all flow back to
the same client which can become a bottleneck for a large table. Instead, what can be done
is to push each separate, chunked UPSERT SELECT call out to a different region server for
execution there. One way we could implement this would be to have an endpoint coprocessor
push the chunked UPSERT SELECT out to each region server and return the number of rows that
were upserted back to the client.



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