[
https://issues.apache.org/jira/browse/LUCENE-6756?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14706850#comment-14706850
]
Adrien Grand commented on LUCENE-6756:
--------------------------------------
I added a MatchAll task to wikimedium1m and hotspot looks happy:
{noformat}
TaskQPS baseline StdDev QPS patch StdDev
Pct diff
Fuzzy2 103.55 (32.6%) 95.61 (35.5%)
-7.7% ( -57% - 89%)
Fuzzy1 139.81 (13.1%) 132.03 (17.0%)
-5.6% ( -31% - 28%)
Prefix3 374.46 (8.7%) 368.62 (7.4%)
-1.6% ( -16% - 15%)
OrHighLow 322.32 (7.0%) 320.66 (5.9%)
-0.5% ( -12% - 13%)
OrHighMed 257.31 (8.7%) 256.59 (4.7%)
-0.3% ( -12% - 14%)
OrHighHigh 202.24 (8.1%) 201.80 (6.2%)
-0.2% ( -13% - 15%)
HighPhrase 155.66 (4.3%) 155.48 (5.2%)
-0.1% ( -9% - 9%)
LowSpanNear 200.83 (5.5%) 200.68 (4.5%)
-0.1% ( -9% - 10%)
AndHighLow 1806.85 (5.2%) 1806.05 (8.9%)
-0.0% ( -13% - 14%)
HighTerm 573.21 (7.8%) 573.11 (6.6%)
-0.0% ( -13% - 15%)
LowSloppyPhrase 132.99 (4.6%) 132.98 (5.7%)
-0.0% ( -9% - 10%)
AndHighHigh 401.82 (4.2%) 402.76 (4.3%)
0.2% ( -7% - 9%)
HighSloppyPhrase 271.61 (5.7%) 273.46 (7.3%)
0.7% ( -11% - 14%)
HighSpanNear 107.11 (6.2%) 107.85 (5.2%)
0.7% ( -10% - 12%)
MedPhrase 186.57 (4.5%) 187.88 (4.9%)
0.7% ( -8% - 10%)
LowPhrase 402.46 (4.4%) 406.53 (3.5%)
1.0% ( -6% - 9%)
MedSloppyPhrase 233.49 (5.0%) 236.66 (3.4%)
1.4% ( -6% - 10%)
MedTerm 1278.37 (8.9%) 1302.62 (6.4%)
1.9% ( -12% - 18%)
Wildcard 339.31 (8.8%) 346.33 (6.5%)
2.1% ( -12% - 19%)
Respell 152.28 (9.2%) 155.51 (8.8%)
2.1% ( -14% - 22%)
AndHighMed 396.54 (8.1%) 407.13 (3.7%)
2.7% ( -8% - 15%)
MedSpanNear 565.97 (6.9%) 581.61 (5.3%)
2.8% ( -8% - 16%)
LowTerm 3143.46 (14.2%) 3244.12 (8.8%)
3.2% ( -17% - 30%)
IntNRQ 90.11 (11.4%) 93.16 (8.0%)
3.4% ( -14% - 25%)
MatchAll 117.18 (3.7%) 211.95 (30.9%)
80.9% ( 44% - 119%)
{noformat}
The fuzzy queries are a bit off but I see a lot of variance with these queries
anyway, even without the change.
> Give MatchAllDocsQuery a dedicated BulkScorer
> ---------------------------------------------
>
> Key: LUCENE-6756
> URL: https://issues.apache.org/jira/browse/LUCENE-6756
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Assignee: Adrien Grand
> Priority: Minor
> Attachments: LUCENE-6756.patch, MABench.java
>
>
> MatchAllDocsQuery currently uses the default BulkScorer, which creates a
> Scorer and iterates over matching doc IDs up to NO_MORE_DOCS. I tried to
> build a dedicated BulkScorer, which seemed to help remove abstractions as it
> helped improve throughput by a ~2x factor with simple collectors.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
