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From "Trejkaz (JIRA)" <>
Subject [jira] Commented: (LUCENE-2506) A Stateful Filter That Works Across Index Segments
Date Fri, 26 Nov 2010 03:22:15 GMT


Trejkaz commented on LUCENE-2506:

That sounds like it would cost a fair bit of memory if you had hundreds of millions of documents.
 The worst thing is that people actually load this much in, all the time using a desktop computer
with only a few gigs of RAM.  Because it's a desktop app, "why don't you get another gig of
RAM for the cache" probably won't fly if it suddenly happened in a new release of our software.
 If it were a server app, maybe that would fly... maybe.

But yeah, some variant on this which only reads some of it from disk instead of all of it,
might speed things up a bit.  A giant IntBuffer over a memory mapped file would probably be
cached by the OS anyway.

> A Stateful Filter That Works Across Index Segments
> --------------------------------------------------
>                 Key: LUCENE-2506
>                 URL:
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Index
>    Affects Versions: 3.0.2
>            Reporter: Karthick Sankarachary
>         Attachments: LUCENE-2506.patch
> By design, Lucene's Filter abstraction is applied once for every segment in the index
during searching. In particular, the reader provided to its #getDocIdSet method does not represent
the whole underlying index. In other words, if the index has more than one segment the given
reader only represents a single segment.  As a result, that definition of the filter suffers
the limitation of not having the ability to permit/prohibit documents in the search results
based on the terms that reside in segments that precede the current one.
> To address this limitation, we introduce here a StatefulFilter which specifically builds
on the Filter class so as to make it capable of remembering terms in segments spanning the
whole underlying index. To reiterate, the need for making filters stateful stems from the
fact that some, although not most, filters care about the terms that they may have come across
in prior segments. It does so by keeping track of the past terms from prior segments in a
cache that is maintained in a StatefulTermsEnum instance on a per-thread basis. 
> Additionally, to address the case where a filter might want to accept the last matching
term, we keep track of the TermsEnum#docFreq of the terms in the segments filtered thus far.
By comparing the sum of such TermsEnum#docFreq with that of the top-level reader, we can tell
if the current segment is the last segment in which the current term appears. Ideally, for
this to work correctly, we require the user to explicitly set the top-level reader on the
StatefulFilter. Knowing what the top-level reader is also helps the StatefulFilter to clean
up after itself once the search has concluded.
> Note that we leave it up to each concrete sub-class of the stateful filter to decide
what to remember in its state and what not to. In other words, it can choose to remember as
much or as little from prior segments as it deems necessary. In keeping with the TermsEnum
interface, which the StatefulTermsEnum class extends, the filter must decide which terms to
accept or not, based on the holistic state of the search.  

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