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https://issues.apache.org/jira/browse/LUCENE-2312?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12847123#action_12847123
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Jason Rutherglen commented on LUCENE-2312:
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For the skip list, we could reuse what we have (ie,
DefaultSkipListReader), though, we'd need to choose a default
number of docs, pulled out of thin air, as there's no way to
guesstimate per term before hand. Or we can have a single level
skip list (more like an index) and binary search to find the
value (assuming we have an int array instead of storing vints)
in the skip list we're looking for.
> Search on IndexWriter's RAM Buffer
> ----------------------------------
>
> Key: LUCENE-2312
> URL: https://issues.apache.org/jira/browse/LUCENE-2312
> Project: Lucene - Java
> Issue Type: New Feature
> Components: Search
> Affects Versions: 3.0.1
> Reporter: Jason Rutherglen
> Assignee: Michael Busch
> Fix For: 3.1
>
>
> 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.
> https://issues.apache.org/jira/browse/LUCENE-2293?focusedCommentId=12841923&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#action_12841923
> 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:
> https://issues.apache.org/jira/browse/LUCENE-2293?focusedCommentId=12841915&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#action_12841915
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