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https://issues.apache.org/jira/browse/LUCENE-1313?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12694917#action_12694917
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Michael McCandless commented on LUCENE-1313:
--------------------------------------------

Jason, your last patch looks like it's taking the "flush first to RAM Dir" 
approach I just described as the next step (on the java-dev thread), right?  
Which is great!

So this has no external dependencies, right?  And it simply layers on top of 
LUCENE-1516.

I'd be very interested to compare (benchmark) this approach vs solely 
LUCENE-1516.

Could we change this class so that instead of taking a Transaction object, 
holding adds & deletes, it simply mirrors IndexWriter's API?  Ie, I'd like to 
decouple the performance optimization of "let's flush small segments ithrough a 
RAMDir first" from the transactional semantics of "I process a transaction 
atomically, and lock out other thread's transactions".  Ie, the transactional 
restriction could/should layer on top of this performance optimization for 
near-realtime search?

> Realtime Search
> ---------------
>
>                 Key: LUCENE-1313
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1313
>             Project: Lucene - Java
>          Issue Type: New Feature
>          Components: Index
>    Affects Versions: 2.4.1
>            Reporter: Jason Rutherglen
>            Priority: Minor
>             Fix For: 2.9
>
>         Attachments: LUCENE-1313.patch, LUCENE-1313.patch, lucene-1313.patch, 
> lucene-1313.patch, lucene-1313.patch, lucene-1313.patch
>
>
> Realtime search with transactional semantics.  
> Possible future directions:
>   * Optimistic concurrency
>   * Replication
> Encoding each transaction into a set of bytes by writing to a RAMDirectory 
> enables replication.  It is difficult to replicate using other methods 
> because while the document may easily be serialized, the analyzer cannot.
> I think this issue can hold realtime benchmarks which include indexing and 
> searching concurrently.

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