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https://issues.apache.org/jira/browse/LUCENE-2506?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12935927#action_12935927
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Earwin Burrfoot commented on LUCENE-2506:
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bq. We are not deleting documents, and have not witnessed merges changing doc
IDs in any other situation.
That assumption's gonna break very soon. Very very soon, when IndexWriter
learns how to merge non-sequential segments.
You can do it same way Zoie authors did. They have a special per-segment cache
that maps external ID <-> docID.
The cache is pre-loaded when opening the segment from a field. It costs some
memory, but nothing frightening.
They found it optimal to add the same Term("ID", "ID") to all the docs and then
store external ID in that term's payload -> no TermsIndex pressure + gets read
fast.
Then you can convert between IDs at a cost of simple array lookup.
Now, this IS reality. Bulletproof, fast lookups by external ID, and no broken
cheats.
P.S. Not sure it was exactly Zoie, but definetly some of LinkedIn's opensourced
Lucene stuff.
> A Stateful Filter That Works Across Index Segments
> --------------------------------------------------
>
> Key: LUCENE-2506
> URL: https://issues.apache.org/jira/browse/LUCENE-2506
> 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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