[
https://issues.apache.org/jira/browse/OAK-2787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14523260#comment-14523260
]
Ian Boston commented on OAK-2787:
---------------------------------
The description matches what I said. Tokenizing (text extraction) immutable
content once and storing the result has several benefits:
Pros:
* The cost is incurred once, important where its expensive like with remastered
PDFs.
* Reindexing costs are greatly reduced
* An items properties can be indexed before tokenizing is complete reducing
latency between the repository and the index.
* The impact of performing tokenization can be controlled or offloaded.
Cons:
* Assumes content bodies are immutable.
* Slight increase in storage requirements to hold the tokenized stream.
* Potentially more latency where the tokenization process is intentionally
resource constrained.
> Faster multi threaded indexing 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
>
> 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
