Curious... on things like this, is it really worth adding (and
maintaining) Lucene's own sort, just to achieve a 1.5 % performance
increase. It is almost doubtful that you can even measure an
improvement at that level, given all of the variables you can't control.
I see a LOT of code in Luc
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Michael McCandless updated LUCENE-1172:
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Attachment: LUCENE-1172.patch
> Small speedups to DocumentsWriter
>
Small speedups to DocumentsWriter
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Key: LUCENE-1172
URL: https://issues.apache.org/jira/browse/LUCENE-1172
Project: Lucene - Java
Issue Type: Improvement
Components: Index
Affects Versions: 2.3
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Steven Rowe commented on LUCENE-1157:
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Excellent, the link from the Developer Resource
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Michael McCandless updated LUCENE-1171:
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Attachment: LUCENE-1171.patch
Attached patch.
> Make DocumentsWriter more robust on
Make DocumentsWriter more robust on hitting OOM
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Key: LUCENE-1171
URL: https://issues.apache.org/jira/browse/LUCENE-1171
Project: Lucene - Java
Issue Type: Bug
Components: Index
Af
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Michael McCandless updated LUCENE-1044:
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Attachment: LUCENE-1044.take8.patch
Attached new rev of the patch. Only changes wer
Doug Cutting wrote:
The linux
kernel dynamically increases the readahead window based on the access
pattern: the more you read sequentially, the larger the readahead window.
Sorry, it appears that's in 2.6.23, which isn't yet broadly used.
http://kernelnewbies.org/Linux_2_6_23#head-102af26593
robert engels wrote:
But that would mean we should be using at least 250k buffers for the
IndexInput ? Not the 16k or so that is the default.
Is the OS smart enough to figure out that the file is being sequentially
read, and adjust its physical read size to 256k, based on the other
concurrent
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Daniel Naber commented on LUCENE-1170:
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It's a known problem with QueryParser, see e.
But that would mean we should be using at least 250k buffers for the
IndexInput ? Not the 16k or so that is the default.
Is the OS smart enough to figure out that the file is being
sequentially read, and adjust its physical read size to 256k, based
on the other concurrent IO operations. See
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Doug Cutting commented on LUCENE-1169:
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> iterator.skipTo(iterator.doc()) <=> iterato
Michael McCandless wrote:
Merging is far more IO intensive. With mergeFactor=10, we read from
40 input streams and write to 4 output streams when merging the
tii/tis/frq/prx files.
If your disk can transfer at 50MB/s, and takes 5ms/seek, then 250kB
reads and writes are the break-even point, w
query with AND and OR not retrieving correct results
Key: LUCENE-1170
URL: https://issues.apache.org/jira/browse/LUCENE-1170
Project: Lucene - Java
Issue Type: Bug
Components: Qu
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Michael McCandless resolved LUCENE-1164.
Resolution: Fixed
> Improve how ConcurrentMergeScheduler handles too-many-merges c
Mike, you're right: all lucene files are written sequentially
(flushing or merging).
It's just a matter of how many are open at once, and whether we are
also reading from source(s) files, which affects IO throughput far
less than truly random access writes.
Plus, as of LUCENE-843, bytes are wri
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Eks Dev commented on LUCENE-1169:
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Thank you for fixing it in no time :) But...
I am gett
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Eks Dev commented on LUCENE-1145:
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test using Sun 1.4 jvm on the same hardware showed the
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