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Posted to oak-issues@jackrabbit.apache.org by "Felix Meschberger (JIRA)" <ji...@apache.org> on 2016/07/19 14:14:20 UTC

[jira] [Comment Edited] (OAK-1312) Bundle nodes into a document

    [ https://issues.apache.org/jira/browse/OAK-1312?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15384191#comment-15384191 ] 

Felix Meschberger edited comment on OAK-1312 at 7/19/16 2:13 PM:
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I think this can be started with very simple and get quick successes: Just bundle subtrees off of the jcr:content into the same document. No need for massive type checking and analysis. Just a single piece in the path. Quick, dirty, effective.

Background: Over the years it turns out that most nodes that have some form of content, such as "Documents", CMS "Pages", files (nt:file for that matter !), all have a jcr:content node to base this content off.


was (Author: fmeschbe):
I think this can be started with very simple and get quick successes: Just bundle subtrees off of the jcr:content into the same document. No need for massive type checking and analysis. Just a single piece in the path. Quick, dirty, effective.

Background: Over the year it turns out that most nodes that have some form of content, such as "Documents", CMS "Pages", files (nt:file for that matter !), all have a jcr:content node to base this content off.

> Bundle nodes into a document
> ----------------------------
>
>                 Key: OAK-1312
>                 URL: https://issues.apache.org/jira/browse/OAK-1312
>             Project: Jackrabbit Oak
>          Issue Type: Improvement
>          Components: core, documentmk
>            Reporter: Marcel Reutegger
>            Assignee: Chetan Mehrotra
>              Labels: performance
>             Fix For: 1.6
>
>
> For very fine grained content with many nodes and only few properties per node it would be more efficient to bundle multiple nodes into a single MongoDB document. Mostly reading would benefit because there are less roundtrips to the backend. At the same time storage footprint would be lower because metadata overhead is per document.



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