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https://issues.apache.org/jira/browse/LUCENE-10480?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17562919#comment-17562919
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Zach Chen commented on LUCENE-10480:
------------------------------------
{quote}Nightly benchmarks picked up the change and top-level disjunctions are
seeing massive speedups, see
[OrHighHigh|http://people.apache.org/~mikemccand/lucenebench/OrHighHigh.html]
or [OrHighMed|http://people.apache.org/~mikemccand/lucenebench/OrHighMed.html].
However disjunctions within conjunctions got a slowdown, see
[AndHighOrMedMed|http://people.apache.org/~mikemccand/lucenebench/AndHighOrMedMed.html]
or
[AndMedOrHighHigh|http://people.apache.org/~mikemccand/lucenebench/AndMedOrHighHigh.html].
{quote}
The results look encouraging and interesting! I copied and pasted the boolean
queries from *wikinightly.tasks* into
*wikimedium.10M.nostopwords.tasks* and ran the benchmark, and was able to
re-produce the slow-down:
{code:java}
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
AndHighOrMedMed 108.16 (6.5%) 100.44
(5.4%) -7.1% ( -17% - 5%) 0.000
AndMedOrHighHigh 68.37 (4.5%) 63.92
(5.0%) -6.5% ( -15% - 3%) 0.000
AndHighHigh 122.90 (5.5%) 122.77
(5.5%) -0.1% ( -10% - 11%) 0.952
AndHighMed 113.27 (6.4%) 114.63
(6.2%) 1.2% ( -10% - 14%) 0.546
PKLookup 228.08 (14.4%) 232.90
(14.7%) 2.1% ( -23% - 36%) 0.646
OrHighHigh 26.89 (5.7%) 48.62
(12.2%) 80.8% ( 59% - 104%) 0.000
OrHighMed 81.18 (5.9%) 187.05
(12.2%) 130.4% ( 105% - 157%) 0.000 {code}
{code:java}
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
AndMedOrHighHigh 85.67 (5.3%) 73.23
(5.7%) -14.5% ( -24% - -3%) 0.000
PKLookup 260.08 (13.4%) 253.74
(14.9%) -2.4% ( -27% - 29%) 0.586
AndHighHigh 73.68 (4.7%) 72.70
(4.1%) -1.3% ( -9% - 7%) 0.339
AndHighMed 89.52 (5.1%) 88.55
(4.4%) -1.1% ( -10% - 8%) 0.470
AndHighOrMedMed 63.27 (6.5%) 70.48
(5.7%) 11.4% ( 0% - 25%) 0.000
OrHighHigh 19.60 (5.3%) 25.62
(7.6%) 30.8% ( 16% - 46%) 0.000
OrHighMed 121.08 (5.7%) 236.34
(10.2%) 95.2% ( 74% - 117%) 0.000 {code}
{code:java}
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
AndMedOrHighHigh 86.88 (3.4%) 76.60
(3.1%) -11.8% ( -17% - -5%) 0.000
AndHighHigh 30.49 (3.5%) 30.36
(3.5%) -0.4% ( -7% - 6%) 0.697
AndHighMed 192.76 (3.4%) 193.72
(3.9%) 0.5% ( -6% - 8%) 0.671
PKLookup 262.59 (5.5%) 264.52
(7.9%) 0.7% ( -11% - 14%) 0.731
AndHighOrMedMed 65.47 (3.8%) 73.43
(3.0%) 12.2% ( 5% - 19%) 0.000
OrHighHigh 21.47 (4.1%) 36.94
(8.3%) 72.1% ( 57% - 88%) 0.000
OrHighMed 99.91 (4.3%) 292.05
(12.9%) 192.3% ( 167% - 218%) 0.000 {code}
However, when I reduced the type of tasks further into just conjunction +
disjunction (and with default number of search threads), the results actually
turned positive and were similar to what I saw earlier in
[https://github.com/apache/lucene/pull/972#issuecomment-1166188875]
{code:java}
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
AndHighOrMedMed 58.65 (37.3%) 71.63
(28.9%) 22.1% ( -32% - 140%) 0.036
AndMedOrHighHigh 36.43 (39.3%) 44.61
(30.7%) 22.4% ( -34% - 152%) 0.044
PKLookup 163.58 (34.4%) 211.88
(32.7%) 29.5% ( -27% - 147%) 0.005 {code}
{code:java}
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value PKLookup
146.51 (22.0%) 188.92 (30.1%) 28.9% ( -18% - 103%) 0.001
AndMedOrHighHigh 35.59 (27.1%) 49.99 (37.5%)
40.4% ( -18% - 144%) 0.000 AndHighOrMedMed
44.47 (26.6%) 63.37 (35.8%) 42.5% ( -15% - 142%) 0.000
{code}
{code:java}
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
AndMedOrHighHigh 35.29 (25.0%) 52.22
(33.5%) 47.9% ( -8% - 141%) 0.000
PKLookup 134.13 (23.6%) 204.43
(25.6%) 52.4% ( 2% - 132%) 0.000
AndHighOrMedMed 45.96 (25.1%) 74.16
(34.8%) 61.4% ( 1% - 161%) 0.000 {code}
If I were to run one task and one query per each benchmark run (there are only
5 queries for AndMedOrHighHigh in the nightly task) , the results are also
positive:
{code:java}
AndMedOrHighHigh: +mostly +(are last) # freq=89401 freq=1921211 freq=830278
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
PKLookup 149.26 (26.2%) 165.25
(31.6%) 10.7% ( -37% - 92%) 0.243
AndMedOrHighHigh 25.53 (25.7%) 37.18
(42.5%) 45.6% ( -17% - 152%) 0.000
------
AndMedOrHighHigh: +interview +(at united) # freq=94736 freq=2834104 freq=1185528
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
PKLookup 241.27 (14.6%) 266.37
(10.6%) 10.4% ( -12% - 41%) 0.010
AndMedOrHighHigh 27.52 (32.7%) 51.02
(46.2%) 85.4% ( 4% - 244%) 0.000
------
AndMedOrHighHigh: +hard +(but year) # freq=92045 freq=1484398 freq=1098425
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
PKLookup 152.20 (15.0%) 161.92
(15.4%) 6.4% ( -20% - 43%) 0.185
AndMedOrHighHigh 26.02 (35.0%) 38.02
(38.5%) 46.1% ( -20% - 184%) 0.000
-------
AndMedOrHighHigh: +9 +(name its) # freq=541405 freq=2577591 freq=1160703
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
PKLookup 184.54 (32.6%) 208.37
(22.2%) 12.9% ( -31% - 100%) 0.143
AndMedOrHighHigh 18.05 (31.2%) 24.33
(20.0%) 34.8% ( -12% - 125%) 0.000
-------
AndMedOrHighHigh: +bay +(to but) # freq=117167 freq=6105155 freq=1484398
TaskQPS baseline StdDevQPS my_modified_version
StdDev Pct diff p-value
PKLookup 164.67 (15.7%) 167.94
(22.2%) 2.0% ( -31% - 47%) 0.744
AndMedOrHighHigh 25.20 (35.3%) 28.75
(43.6%) 14.1% ( -47% - 143%) 0.262{code}
Maybe the caching effect is worth looking into as well?
{quote}maybe there are bits from advance() that we could move to matches() so
that we would hand it over to the other clause before we start doing expensive
operations like computing scores.
{quote}
Yup let me give it a try and see if it changes the results.
> Specialize 2-clauses disjunctions
> ---------------------------------
>
> Key: LUCENE-10480
> URL: https://issues.apache.org/jira/browse/LUCENE-10480
> Project: Lucene - Core
> Issue Type: Task
> Reporter: Adrien Grand
> Priority: Minor
> Time Spent: 5h 40m
> Remaining Estimate: 0h
>
> WANDScorer is nice, but it also has lots of overhead to maintain its
> invariants: one linked list for the current candidates, one priority queue of
> scorers that are behind, another one for scorers that are ahead. All this
> could be simplified in the 2-clauses case, which feels worth specializing for
> as it's very common that end users enter queries that only have two terms?
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