You are viewing a plain text version of this content. The canonical link for it is here.
Posted to oak-issues@jackrabbit.apache.org by "Marcel Reutegger (JIRA)" <ji...@apache.org> on 2019/04/04 07:24:00 UTC

[jira] [Updated] (OAK-8002) RDBDocumentStore: add RDB-specific MissingLastRevSeeker

     [ https://issues.apache.org/jira/browse/OAK-8002?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Marcel Reutegger updated OAK-8002:
----------------------------------
    Labels: candidate_oak_1_10 candidate_oak_1_8  (was: candidate_oak_1_10)

> RDBDocumentStore: add RDB-specific MissingLastRevSeeker 
> --------------------------------------------------------
>
>                 Key: OAK-8002
>                 URL: https://issues.apache.org/jira/browse/OAK-8002
>             Project: Jackrabbit Oak
>          Issue Type: Technical task
>          Components: rdbmk
>            Reporter: Julian Reschke
>            Assignee: Julian Reschke
>            Priority: Minor
>              Labels: candidate_oak_1_10, candidate_oak_1_8
>             Fix For: 1.12.0
>
>         Attachments: OAK-8002.diff
>
>
> {{MissingLastRevSeeker}} is slow on DB2. This is because the generic {{MissingLastRevSeeker}} gets candidate in batches (of 100), but in order to do batching, requires results to be sorted by ID.
> For DB2 we by default have indices on both ID and MODIFIED, but contrary to our expection a query that involves both indices does not perform well. Adding a compound index on ID *and* MODIFIED improves performance, but I'm hesitant to add this just to improve a recovery job.
> A more logical approach would be not to require batching/sorting by adopting the approach in {{MongoMissingLastRevSeeker}} which doesn't require sorting by ID in the first place.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)