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From "Jason Rutherglen (JIRA)" <>
Subject [jira] Updated: (LUCENE-2312) Search on IndexWriter's RAM Buffer
Date Wed, 13 Oct 2010 17:32:32 GMT


Jason Rutherglen updated LUCENE-2312:

    Attachment: LUCENE-2312.patch

I wanted to getting everything built to prove out some of the ideas.  We're ready to concurrency
test this.  We're nearly memory efficient except for terms dict and term freqs.  

* A single pass test of most basic RAM reader functionality

* Working deletes via sequence IDs

* We're only copying the spine of the byte block buffers and the int pool buffers per reader.

* Flushing and loading of doc stores and term vectors

* We're only making a fully copy per reader of the term freqs in FreqProxPostingsArray.  This'll
need to used paged ints.

* Incorporated LUCENE-2575's slice allocation

* Terms dictionary using a CSL.  Each terms enum is unique to a reader.

* The RAM reader implements all IndexReader methods except norms.

* Not committable

> Search on IndexWriter's RAM Buffer
> ----------------------------------
>                 Key: LUCENE-2312
>                 URL:
>             Project: Lucene - Java
>          Issue Type: New Feature
>          Components: Search
>    Affects Versions: Realtime Branch
>            Reporter: Jason Rutherglen
>            Assignee: Michael Busch
>             Fix For: Realtime Branch
>         Attachments: LUCENE-2312.patch
> In order to offer user's near realtime search, without incurring
> an indexing performance penalty, we can implement search on
> IndexWriter's RAM buffer. This is the buffer that is filled in
> RAM as documents are indexed. Currently the RAM buffer is
> flushed to the underlying directory (usually disk) before being
> made searchable. 
> Todays Lucene based NRT systems must incur the cost of merging
> segments, which can slow indexing. 
> Michael Busch has good suggestions regarding how to handle deletes using max doc ids.
> The area that isn't fully fleshed out is the terms dictionary,
> which needs to be sorted prior to queries executing. Currently
> IW implements a specialized hash table. Michael B has a
> suggestion here: 

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