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https://issues.apache.org/jira/browse/LUCENE-2312?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12920408#action_12920408
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Jason Rutherglen commented on LUCENE-2312:
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An interesting question for this issue is how will norms be handled? It's an
issue because norms requires the total number of terms, which we can compute
per reader, however as we add readers, we can easily generate too much garbage
(ie, a new norms byte[] per field per reader). Perhaps we can relax the
accuracy of the calculation for RT?
> 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: Realtime Branch
> Reporter: Jason Rutherglen
> Assignee: Michael Busch
> Fix For: Realtime Branch
>
>
> 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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