I am working on a bulk document copy right now - I will let you know if it improves things much.

I doubt it, because I already configure the streams to use fairly large input and output buffers during a merge - but the memory index merge may see additional benefits due to lower CPU calls.


On Nov 2, 2007, at 3:39 PM, robert engels (JIRA) wrote:


[ https://issues.apache.org/jira/browse/LUCENE-1043? page=com.atlassian.jira.plugin.system.issuetabpanels:comment- tabpanel#action_12539696 ]

robert engels commented on LUCENE-1043:
---------------------------------------

When bulk copying the documents, I think you need to:

read array of long from index (8 * (ndocs+1)) in long[ndocs+1] offsets;
calculate length = offset[ndocs]-offset[0];
read bytes of length from document file
startoffset = current output document stream position
write bytes to output document
modify offset[] adding startoffset-offset[0] to each entry
write offset[] in bulk to index output

Speedup merging of stored fields when field mapping "matches"
-------------------------------------------------------------

                Key: LUCENE-1043
URL: https://issues.apache.org/jira/browse/ LUCENE-1043
            Project: Lucene - Java
         Issue Type: Improvement
         Components: Index
   Affects Versions: 2.2
           Reporter: Michael McCandless
           Assignee: Michael McCandless
           Priority: Minor
            Fix For: 2.3

        Attachments: LUCENE-1043.patch


Robert Engels suggested the following idea, here:
  http://www.gossamer-threads.com/lists/lucene/java-dev/54217
When merging in the stored fields from a segment, if the field name ->
number mapping is identical then we can simply bulk copy the entire
entry for the document rather than re-interpreting and then re- writing
the actual stored fields.
I've pulled the code from the above thread and got it working on the
current trunk.

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