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https://issues.apache.org/jira/browse/LUCENE-2575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jason Rutherglen updated LUCENE-2575:
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Attachment: LUCENE-2575.patch
This includes a basic implementation of the sorted term id based
term enum. We'll want to over-allocate the sorted term id array
so that future merges of new term ids will not require
allocating a new array for growth. I think overall the ram
buffer based searching will not require too much more of a RAM
outlay. The merging of new term ids could occur in a background
thread if we think it's expensive, however for now we can simply
merge them in on demand as new RAM readers are created.
Seek is implemented as a binary search of the sorted term ids.
If this is not efficient enough, we can implement a terms index
ala the current system.
For now the conversion from CSLM to sorted term id array can be
a percentage of the total number of terms, which I'll default to
10%. We may want to make this a function (eg, percentage) of RAM
consumption in the future.
> Concurrent byte and int block implementations
> ---------------------------------------------
>
> Key: LUCENE-2575
> URL: https://issues.apache.org/jira/browse/LUCENE-2575
> Project: Lucene - Java
> Issue Type: Improvement
> Components: Index
> Affects Versions: Realtime Branch
> Reporter: Jason Rutherglen
> Fix For: Realtime Branch
>
> Attachments: LUCENE-2575.patch, LUCENE-2575.patch
>
>
> The current *BlockPool implementations aren't quite concurrent.
> We really need something that has a locking flush method, where
> flush is called at the end of adding a document. Once flushed,
> the newly written data would be available to all other reading
> threads (ie, postings etc). I'm not sure I understand the slices
> concept, it seems like it'd be easier to implement a seekable
> random access file like API. One'd seek to a given position,
> then read or write from there. The underlying management of byte
> arrays could then be hidden?
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