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Michael McCandless commented on LUCENE-4069: -------------------------------------------- I ran a benchmark on 10 M Wikipedia index; for the factory I used createSetBasedOnMemory and passed it 100 MB; I think that's enough to ensure we get the 10% saturation on save ...: {noformat} Task QPS base StdDev base QPS bloomStdDev bloom Pct diff Fuzzy1 102.47 3.67 41.95 0.78 -61% - -56% Fuzzy2 38.36 1.76 18.68 0.37 -54% - -47% Respell 89.89 4.38 44.09 0.52 -53% - -47% Wildcard 40.48 2.82 36.20 0.64 -17% - -2% SloppyPhrase 7.96 0.28 8.07 0.07 -3% - 5% Prefix3 61.94 5.34 63.35 0.37 -6% - 12% TermBGroup1M 71.37 6.79 73.73 1.55 -7% - 16% AndHighMed 64.09 5.51 66.73 1.75 -6% - 16% TermBGroup1M1P 49.55 3.78 51.75 2.67 -7% - 18% AndHighHigh 16.05 1.12 16.77 0.53 -5% - 15% TermGroup1M 35.87 3.07 37.56 0.74 -5% - 16% OrHighHigh 9.60 1.38 10.15 0.65 -13% - 31% OrHighMed 11.93 1.91 12.63 0.93 -15% - 35% IntNRQ 9.12 1.25 9.68 0.11 -7% - 24% Term 154.55 19.60 165.32 0.97 -5% - 23% Phrase 11.40 0.33 12.21 0.18 2% - 11% SpanNear 4.31 0.07 4.73 0.03 7% - 12% PKLookup 122.78 1.42 145.95 5.22 13% - 24% {noformat} Baseline is Lucene40 PostingsFormat even for the id field ... so PKLookup gets a good improvement. This is on an index w/ 5 segments at each level. Other queries seem to speed up as well (eg Term, Or*). The queries that rely on Terms.intersect got much worse: is the BloomFilteredFieldsProducer should just pass through intersect to the delegate? > Segment-level Bloom filters for a 2 x speed up on rare term searches > -------------------------------------------------------------------- > > Key: LUCENE-4069 > URL: https://issues.apache.org/jira/browse/LUCENE-4069 > Project: Lucene - Java > Issue Type: Improvement > Components: core/index > Affects Versions: 3.6, 4.0 > Reporter: Mark Harwood > Priority: Minor > Fix For: 4.0, 3.6.1 > > Attachments: BloomFilterPostingsBranch4x.patch, > MHBloomFilterOn3.6Branch.patch, PrimaryKeyPerfTest40.java > > > An addition to each segment which stores a Bloom filter for selected fields > in order to give fast-fail to term searches, helping avoid wasted disk access. > Best suited for low-frequency fields e.g. primary keys on big indexes with > many segments but also speeds up general searching in my tests. > Overview slideshow here: > http://www.slideshare.net/MarkHarwood/lucene-bloomfilteredsegments > Benchmarks based on Wikipedia content here: http://goo.gl/X7QqU > Patch based on 3.6 codebase attached. > There are no 3.6 API changes currently - to play just add a field with "_blm" > on the end of the name to invoke special indexing/querying capability. > Clearly a new Field or schema declaration(!) would need adding to APIs to > configure the service properly. > Also, a patch for Lucene4.0 codebase introducing a new PostingsFormat -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org