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From "Davide Giannella (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (OAK-2787) Faster multi threaded indexing / text extraction for binary content
Date Tue, 04 Jun 2019 15:35:11 GMT

     [ https://issues.apache.org/jira/browse/OAK-2787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Davide Giannella updated OAK-2787:
----------------------------------
    Fix Version/s: 1.16.0

> Faster multi threaded indexing / text extraction for binary content
> -------------------------------------------------------------------
>
>                 Key: OAK-2787
>                 URL: https://issues.apache.org/jira/browse/OAK-2787
>             Project: Jackrabbit Oak
>          Issue Type: Wish
>          Components: lucene
>            Reporter: Chetan Mehrotra
>            Priority: Major
>             Fix For: 1.14.0, 1.16.0
>
>
> With Lucene based indexing the indexing process is single threaded. This hamper the indexing
of binary content as on a multi processor system only single thread can be used to perform
the indexing
> [~ianeboston] Suggested a possible approach [1] involving a 2 phase indexing
> # In first phase detect the nodes to be indexed and start the full text extraction of
the binary content. Post extraction save the binary token stream back to the node as a hidden
data. In this phase the node properties can still be indexed and a marker field would be added
to indicate the fulltext index is still pending
> # Later in 2nd phase look for all such Lucene docs and then update them with the saved
token stream
> This would allow the text extraction logic to be decouple from Lucene indexing logic
> [1] http://markmail.org/thread/2w5o4bwqsosb6esu



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