mirror of
https://gitlab.com/allianceauth/allianceauth.git
synced 2025-07-09 12:30:15 +02:00
Merge branch 'tuning' into 'master'
Docs: Sql Tuning and python version comparison See merge request allianceauth/allianceauth!1545
This commit is contained in:
Ariel Rin
commit
a8ef844fe7
@ -14,4 +14,6 @@ The official installation guide will install a stable version of Alliance Auth t
|
||||
gunicorn
|
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celery
|
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redis
|
||||
python
|
||||
sql
|
||||
```
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633
docs/maintenance/tuning/python.md
Normal file
633
docs/maintenance/tuning/python.md
Normal file
@ -0,0 +1,633 @@
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# Python
|
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|
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## Version Update
|
||||
|
||||
Newer versions of python can focus heavily on performance improvements, some more than others. But be aware regressions for stability or security reasons may always be the case.
|
||||
|
||||
As a general rule, Python 3.9 and Python 3.11 both had a strong focus on performance improvements. Python 3.12 is looking promising but has yet to have widespread testing, adoption and deployment. A simple comparison is available at [speed.python.org](https://speed.python.org/comparison/?exe=12%2BL%2B3.11%2C12%2BL%2B3.12%2C12%2BL%2B3.10%2C12%2BL%2B3.9%2C12%2BL%2B3.8&ben=746&env=1&hor=false&bas=none&chart=normal+bars).
|
||||
|
||||
[Djangobench](https://github.com/django/djangobench/tree/master) is source of synthetic benchmarks and a useful tool for running comparisons. Below are some examples to inform your investigations.
|
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|
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Keep in mind while a 1.2x faster result is significant, it's only one step of the process, Celery, SQL, Redis and many other factors will influence the end result and this _python_ speed improvement will not translate 1:1 into real world performance.
|
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|
||||
### Django 4.0.10
|
||||
|
||||
- Djangobench 0.10.0
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- Django 4.0.10
|
||||
- Python 3.8.18 vs Python 3.11.5
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|
||||
```bash
|
||||
joel@METABOX:~/djangobench/django$ djangobench --vcs=none --control=. --experiment=. --control-python=/home/joel/djangobench/py38/bin/python --experiment-python=/home/joel/djangobench/py311/bin/python -r /home/joel/djangobench/results -t 500
|
||||
Running all benchmarks
|
||||
Recording data to '/home/joel/djangobench/results'
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Control: Django 4.0.10 (in .)
|
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Experiment: Django 4.0.10 (in .)
|
||||
|
||||
Running 'multi_value_dict' benchmark ...
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Min: 0.000014 -> 0.000013: 1.0304x faster
|
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Avg: 0.000183 -> 0.000133: 1.3698x faster
|
||||
Significant (t=9.325958)
|
||||
Stddev: 0.00010 -> 0.00007: 1.3791x smaller (N = 500)
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|
||||
Running 'query_values' benchmark ...
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Min: 0.000079 -> 0.000070: 1.1308x faster
|
||||
Avg: 0.000084 -> 0.000074: 1.1267x faster
|
||||
Significant (t=19.174361)
|
||||
Stddev: 0.00001 -> 0.00001: 1.0255x larger (N = 500)
|
||||
|
||||
Running 'query_delete' benchmark ...
|
||||
Min: 0.000082 -> 0.000074: 1.1145x faster
|
||||
Avg: 0.000086 -> 0.000078: 1.0987x faster
|
||||
Significant (t=17.504085)
|
||||
Stddev: 0.00001 -> 0.00001: 1.1888x smaller (N = 500)
|
||||
|
||||
Running 'query_select_related' benchmark ...
|
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Min: 0.016771 -> 0.013520: 1.2405x faster
|
||||
Avg: 0.017897 -> 0.014149: 1.2649x faster
|
||||
Significant (t=40.942990)
|
||||
Stddev: 0.00190 -> 0.00077: 2.4535x smaller (N = 500)
|
||||
|
||||
Running 'query_aggregate' benchmark ...
|
||||
Min: 0.000092 -> 0.000083: 1.1105x faster
|
||||
Avg: 0.000100 -> 0.000090: 1.1107x faster
|
||||
Significant (t=9.967204)
|
||||
Stddev: 0.00002 -> 0.00001: 1.5003x smaller (N = 500)
|
||||
|
||||
Running 'query_raw_deferred' benchmark ...
|
||||
Min: 0.004157 -> 0.003563: 1.1666x faster
|
||||
Avg: 0.004626 -> 0.003809: 1.2143x faster
|
||||
Significant (t=12.325104)
|
||||
Stddev: 0.00121 -> 0.00086: 1.4047x smaller (N = 500)
|
||||
|
||||
Running 'query_get_or_create' benchmark ...
|
||||
Min: 0.000412 -> 0.000362: 1.1385x faster
|
||||
Avg: 0.000458 -> 0.000407: 1.1259x faster
|
||||
Significant (t=14.169322)
|
||||
Stddev: 0.00006 -> 0.00005: 1.1306x smaller (N = 500)
|
||||
|
||||
Running 'query_values_list' benchmark ...
|
||||
Min: 0.000080 -> 0.000071: 1.1231x faster
|
||||
Avg: 0.000089 -> 0.000076: 1.1706x faster
|
||||
Significant (t=18.298942)
|
||||
Stddev: 0.00001 -> 0.00001: 1.9398x smaller (N = 500)
|
||||
|
||||
Running 'url_resolve_flat_i18n_off' benchmark ...
|
||||
Min: 0.055764 -> 0.045370: 1.2291x faster
|
||||
Avg: 0.057670 -> 0.047020: 1.2265x faster
|
||||
Significant (t=111.187780)
|
||||
Stddev: 0.00206 -> 0.00059: 3.4618x smaller (N = 500)
|
||||
|
||||
Running 'qs_filter_chaining' benchmark ...
|
||||
Min: 0.000236 -> 0.000196: 1.2034x faster
|
||||
Avg: 0.000248 -> 0.000206: 1.2041x faster
|
||||
Significant (t=44.893544)
|
||||
Stddev: 0.00002 -> 0.00001: 1.0833x smaller (N = 500)
|
||||
|
||||
Running 'template_render' benchmark ...
|
||||
Min: 0.000933 -> 0.000712: 1.3110x faster
|
||||
Avg: 0.001003 -> 0.000777: 1.2909x faster
|
||||
Significant (t=8.379095)
|
||||
Stddev: 0.00043 -> 0.00042: 1.0287x smaller (N = 500)
|
||||
|
||||
Running 'query_get' benchmark ...
|
||||
Min: 0.000259 -> 0.000230: 1.1259x faster
|
||||
Avg: 0.000282 -> 0.000238: 1.1829x faster
|
||||
Significant (t=42.267305)
|
||||
Stddev: 0.00002 -> 0.00001: 1.7842x smaller (N = 500)
|
||||
|
||||
Running 'query_none' benchmark ...
|
||||
Min: 0.000053 -> 0.000045: 1.1830x faster
|
||||
Avg: 0.000056 -> 0.000049: 1.1449x faster
|
||||
Significant (t=16.426843)
|
||||
Stddev: 0.00001 -> 0.00001: 1.1267x larger (N = 500)
|
||||
|
||||
Running 'query_complex_filter' benchmark ...
|
||||
Min: 0.000039 -> 0.000034: 1.1527x faster
|
||||
Avg: 0.000041 -> 0.000037: 1.1091x faster
|
||||
Significant (t=13.582718)
|
||||
Stddev: 0.00000 -> 0.00001: 1.5373x larger (N = 500)
|
||||
|
||||
Running 'query_filter' benchmark ...
|
||||
Min: 0.000127 -> 0.000112: 1.1288x faster
|
||||
Avg: 0.000133 -> 0.000119: 1.1228x faster
|
||||
Significant (t=22.727829)
|
||||
Stddev: 0.00001 -> 0.00001: 1.1771x smaller (N = 500)
|
||||
|
||||
Running 'template_render_simple' benchmark ...
|
||||
Min: 0.000030 -> 0.000024: 1.2405x faster
|
||||
Avg: 0.000035 -> 0.000029: 1.2042x faster
|
||||
Not significant
|
||||
Stddev: 0.00007 -> 0.00005: 1.3190x smaller (N = 500)
|
||||
|
||||
Running 'default_middleware' benchmark ...
|
||||
Min: -0.000047 -> -0.000054: 0.8624x faster
|
||||
Avg: 0.000017 -> 0.000017: 1.0032x faster
|
||||
Not significant
|
||||
Stddev: 0.00037 -> 0.00037: 1.0091x larger (N = 500)
|
||||
|
||||
Running 'query_annotate' benchmark ...
|
||||
Min: 0.000186 -> 0.000162: 1.1505x faster
|
||||
Avg: 0.000207 -> 0.000178: 1.1660x faster
|
||||
Significant (t=16.516089)
|
||||
Stddev: 0.00003 -> 0.00003: 1.1403x smaller (N = 500)
|
||||
|
||||
Running 'raw_sql' benchmark ...
|
||||
Min: 0.000015 -> 0.000013: 1.1070x faster
|
||||
Avg: 0.000017 -> 0.000014: 1.1676x faster
|
||||
Significant (t=13.598519)
|
||||
Stddev: 0.00000 -> 0.00000: 2.3503x smaller (N = 500)
|
||||
|
||||
Running 'url_resolve_flat' benchmark ...
|
||||
Min: 0.056378 -> 0.044772: 1.2592x faster
|
||||
Avg: 0.058268 -> 0.046656: 1.2489x faster
|
||||
Significant (t=197.176590)
|
||||
Stddev: 0.00121 -> 0.00051: 2.3665x smaller (N = 500)
|
||||
|
||||
Running 'l10n_render' benchmark ...
|
||||
Min: 0.001097 -> 0.000727: 1.5092x faster
|
||||
Avg: 0.001160 -> 0.000768: 1.5101x faster
|
||||
Significant (t=36.971179)
|
||||
Stddev: 0.00019 -> 0.00014: 1.2946x smaller (N = 500)
|
||||
|
||||
Running 'query_count' benchmark ...
|
||||
Min: 0.000083 -> 0.000073: 1.1302x faster
|
||||
Avg: 0.000091 -> 0.000079: 1.1640x faster
|
||||
Significant (t=15.049336)
|
||||
Stddev: 0.00002 -> 0.00001: 1.6661x smaller (N = 500)
|
||||
|
||||
Running 'model_delete' benchmark ...
|
||||
Min: 0.000123 -> 0.000105: 1.1701x faster
|
||||
Avg: 0.000135 -> 0.000119: 1.1396x faster
|
||||
Significant (t=17.781816)
|
||||
Stddev: 0.00001 -> 0.00002: 1.1990x larger (N = 500)
|
||||
|
||||
Running 'query_iterator' benchmark ...
|
||||
Min: 0.000102 -> 0.000088: 1.1605x faster
|
||||
Avg: 0.000108 -> 0.000093: 1.1598x faster
|
||||
Significant (t=23.872009)
|
||||
Stddev: 0.00001 -> 0.00001: 1.1366x smaller (N = 500)
|
||||
|
||||
Running 'template_compilation' benchmark ...
|
||||
Min: 0.000155 -> 0.000129: 1.2015x faster
|
||||
Avg: 0.000169 -> 0.000137: 1.2317x faster
|
||||
Significant (t=6.119618)
|
||||
Stddev: 0.00009 -> 0.00007: 1.4162x smaller (N = 500)
|
||||
|
||||
Running 'query_all_multifield' benchmark ...
|
||||
Min: 0.014582 -> 0.012509: 1.1658x faster
|
||||
Avg: 0.015715 -> 0.013337: 1.1783x faster
|
||||
Significant (t=19.183517)
|
||||
Stddev: 0.00207 -> 0.00184: 1.1241x smaller (N = 500)
|
||||
|
||||
Running 'query_prefetch_related' benchmark ...
|
||||
Min: 0.014293 -> 0.012157: 1.1758x faster
|
||||
Avg: 0.015467 -> 0.013276: 1.1650x faster
|
||||
Significant (t=20.607411)
|
||||
Stddev: 0.00176 -> 0.00160: 1.0952x smaller (N = 500)
|
||||
|
||||
Running 'query_all_converters' benchmark ...
|
||||
Min: 0.000536 -> 0.000464: 1.1554x faster
|
||||
Avg: 0.000563 -> 0.000486: 1.1595x faster
|
||||
Significant (t=38.503433)
|
||||
Stddev: 0.00004 -> 0.00002: 1.6468x smaller (N = 500)
|
||||
|
||||
Running 'query_distinct' benchmark ...
|
||||
Min: 0.000106 -> 0.000092: 1.1583x faster
|
||||
Avg: 0.000127 -> 0.000096: 1.3223x faster
|
||||
Significant (t=27.798102)
|
||||
Stddev: 0.00002 -> 0.00001: 3.7187x smaller (N = 500)
|
||||
|
||||
Running 'query_dates' benchmark ...
|
||||
Min: 0.000249 -> 0.000209: 1.1953x faster
|
||||
Avg: 0.000275 -> 0.000228: 1.2056x faster
|
||||
Significant (t=30.785168)
|
||||
Stddev: 0.00003 -> 0.00002: 1.0854x smaller (N = 500)
|
||||
|
||||
Running 'model_save_existing' benchmark ...
|
||||
Min: 0.003526 -> 0.003094: 1.1397x faster
|
||||
Avg: 0.003723 -> 0.003212: 1.1591x faster
|
||||
Significant (t=47.274918)
|
||||
Stddev: 0.00018 -> 0.00016: 1.1817x smaller (N = 500)
|
||||
|
||||
Running 'query_delete_related' benchmark ...
|
||||
Min: 0.000120 -> 0.000103: 1.1655x faster
|
||||
Avg: 0.000132 -> 0.000111: 1.1815x faster
|
||||
Significant (t=6.428771)
|
||||
Stddev: 0.00005 -> 0.00004: 1.2149x smaller (N = 500)
|
||||
|
||||
Running 'url_reverse' benchmark ...
|
||||
Min: 0.000062 -> 0.000060: 1.0318x faster
|
||||
Avg: 0.000072 -> 0.000068: 1.0622x faster
|
||||
Not significant
|
||||
Stddev: 0.00006 -> 0.00005: 1.0531x smaller (N = 500)
|
||||
|
||||
Running 'query_latest' benchmark ...
|
||||
Min: 0.000136 -> 0.000118: 1.1454x faster
|
||||
Avg: 0.000155 -> 0.000129: 1.2008x faster
|
||||
Significant (t=8.372115)
|
||||
Stddev: 0.00007 -> 0.00001: 5.1365x smaller (N = 500)
|
||||
|
||||
Running 'form_create' benchmark ...
|
||||
Min: 0.000015 -> 0.000013: 1.2319x faster
|
||||
Avg: 0.000019 -> 0.000015: 1.2739x faster
|
||||
Significant (t=4.158080)
|
||||
Stddev: 0.00002 -> 0.00001: 1.1449x smaller (N = 500)
|
||||
|
||||
Running 'query_update' benchmark ...
|
||||
Min: 0.000047 -> 0.000041: 1.1323x faster
|
||||
Avg: 0.000052 -> 0.000044: 1.1721x faster
|
||||
Significant (t=18.470635)
|
||||
Stddev: 0.00001 -> 0.00000: 1.6104x smaller (N = 500)
|
||||
|
||||
Running 'query_in_bulk' benchmark ...
|
||||
Min: 0.000152 -> 0.000136: 1.1193x faster
|
||||
Avg: 0.000173 -> 0.000147: 1.1735x faster
|
||||
Significant (t=16.901845)
|
||||
Stddev: 0.00003 -> 0.00001: 2.1199x smaller (N = 500)
|
||||
|
||||
Running 'url_resolve_nested' benchmark ...
|
||||
Min: 0.000043 -> 0.000034: 1.2871x faster
|
||||
Avg: 0.000075 -> 0.000047: 1.6049x faster
|
||||
Not significant
|
||||
Stddev: 0.00066 -> 0.00023: 2.8387x smaller (N = 500)
|
||||
|
||||
Running 'model_creation' benchmark ...
|
||||
Min: 0.000077 -> 0.000066: 1.1579x faster
|
||||
Avg: 0.000088 -> 0.000072: 1.2205x faster
|
||||
Significant (t=10.514202)
|
||||
Stddev: 0.00003 -> 0.00001: 3.1410x smaller (N = 500)
|
||||
|
||||
Running 'query_order_by' benchmark ...
|
||||
Min: 0.000135 -> 0.000124: 1.0945x faster
|
||||
Avg: 0.000145 -> 0.000133: 1.0902x faster
|
||||
Significant (t=13.574502)
|
||||
Stddev: 0.00001 -> 0.00001: 1.1586x smaller (N = 500)
|
||||
|
||||
Running 'startup' benchmark ...
|
||||
Skipped: Django 1.9 and later has changed app loading. This benchmark needs fixing anyway.
|
||||
|
||||
Running 'form_clean' benchmark ...
|
||||
Min: 0.000005 -> 0.000003: 1.4696x faster
|
||||
Avg: 0.000006 -> 0.000004: 1.4931x faster
|
||||
Significant (t=11.263253)
|
||||
Stddev: 0.00000 -> 0.00000: 2.2571x smaller (N = 500)
|
||||
|
||||
Running 'locale_from_request' benchmark ...
|
||||
Min: 0.000076 -> 0.000082: 1.0895x slower
|
||||
Avg: 0.000083 -> 0.000090: 1.0877x slower
|
||||
Not significant
|
||||
Stddev: 0.00009 -> 0.00006: 1.6230x smaller (N = 500)
|
||||
|
||||
Running 'query_exists' benchmark ...
|
||||
Min: 0.000243 -> 0.000214: 1.1399x faster
|
||||
Avg: 0.000262 -> 0.000227: 1.1571x faster
|
||||
Significant (t=27.797738)
|
||||
Stddev: 0.00002 -> 0.00002: 1.2601x smaller (N = 500)
|
||||
|
||||
Running 'query_values_10000' benchmark ...
|
||||
Min: 0.005755 -> 0.005269: 1.0923x faster
|
||||
Avg: 0.006184 -> 0.005587: 1.1067x faster
|
||||
Significant (t=10.895954)
|
||||
Stddev: 0.00094 -> 0.00079: 1.1902x smaller (N = 500)
|
||||
|
||||
Running 'query_exclude' benchmark ...
|
||||
Min: 0.000159 -> 0.000141: 1.1256x faster
|
||||
Avg: 0.000177 -> 0.000151: 1.1741x faster
|
||||
Significant (t=23.556200)
|
||||
Stddev: 0.00002 -> 0.00001: 1.8250x smaller (N = 500)
|
||||
|
||||
Running 'query_raw' benchmark ...
|
||||
Min: 0.005619 -> 0.004860: 1.1562x faster
|
||||
Avg: 0.006181 -> 0.005041: 1.2263x faster
|
||||
Significant (t=18.008590)
|
||||
Stddev: 0.00121 -> 0.00074: 1.6376x smaller (N = 500)
|
||||
|
||||
Running 'url_resolve' benchmark ...
|
||||
Min: 0.004666 -> 0.004233: 1.1023x faster
|
||||
Avg: 0.004920 -> 0.004347: 1.1318x faster
|
||||
Significant (t=24.865249)
|
||||
Stddev: 0.00049 -> 0.00016: 3.1507x smaller (N = 500)
|
||||
|
||||
Running 'model_save_new' benchmark ...
|
||||
Min: 0.003420 -> 0.003105: 1.1014x faster
|
||||
Avg: 0.003610 -> 0.003217: 1.1221x faster
|
||||
Significant (t=42.956103)
|
||||
Stddev: 0.00017 -> 0.00011: 1.6304x smaller (N = 500)
|
||||
|
||||
Running 'query_all' benchmark ...
|
||||
Min: 0.008101 -> 0.007077: 1.1447x faster
|
||||
Avg: 0.009006 -> 0.007936: 1.1348x faster
|
||||
Significant (t=9.981534)
|
||||
Stddev: 0.00171 -> 0.00168: 1.0215x smaller (N = 500)
|
||||
```
|
||||
|
||||
### Django 4.2.6
|
||||
|
||||
- Djangobench 0.10.0
|
||||
- Django 4.0.10
|
||||
- Python 3.8.18 vs Python 3.11.5
|
||||
|
||||
```bash
|
||||
joel@METABOX:~/djangobench/django$ djangobench --vcs=none --control=. --experiment=. --control-python=/home/joel/djangobench/py38/bin/python --experiment-python=/home/joel/djangobench/py311/bin/python -r /home/joel/djangobench/results -t 500
|
||||
Running all benchmarks
|
||||
Recording data to '/home/joel/djangobench/results'
|
||||
Control: Django 4.2.6 (in .)
|
||||
Experiment: Django 4.2.6 (in .)
|
||||
|
||||
Running 'multi_value_dict' benchmark ...
|
||||
Min: -0.000004 -> 0.000013: -3.0336x slower
|
||||
Avg: 0.000182 -> 0.000133: 1.3680x faster
|
||||
Significant (t=9.151616)
|
||||
Stddev: 0.00010 -> 0.00007: 1.3826x smaller (N = 500)
|
||||
|
||||
Running 'query_values' benchmark ...
|
||||
Min: 0.000082 -> 0.000072: 1.1485x faster
|
||||
Avg: 0.000086 -> 0.000075: 1.1462x faster
|
||||
Significant (t=30.114973)
|
||||
Stddev: 0.00001 -> 0.00001: 1.0258x larger (N = 500)
|
||||
|
||||
Running 'query_delete' benchmark ...
|
||||
Min: 0.000080 -> 0.000071: 1.1169x faster
|
||||
Avg: 0.000086 -> 0.000077: 1.1088x faster
|
||||
Significant (t=13.459411)
|
||||
Stddev: 0.00001 -> 0.00001: 1.0008x smaller (N = 500)
|
||||
|
||||
Running 'query_select_related' benchmark ...
|
||||
Min: 0.016889 -> 0.013513: 1.2498x faster
|
||||
Avg: 0.018370 -> 0.013885: 1.3230x faster
|
||||
Significant (t=48.921967)
|
||||
Stddev: 0.00196 -> 0.00061: 3.2174x smaller (N = 500)
|
||||
|
||||
Running 'query_aggregate' benchmark ...
|
||||
Min: 0.000167 -> 0.000153: 1.0904x faster
|
||||
Avg: 0.000182 -> 0.000165: 1.1029x faster
|
||||
Significant (t=12.685517)
|
||||
Stddev: 0.00002 -> 0.00002: 1.3019x smaller (N = 500)
|
||||
|
||||
Running 'query_raw_deferred' benchmark ...
|
||||
Min: 0.004160 -> 0.003674: 1.1323x faster
|
||||
Avg: 0.004596 -> 0.003888: 1.1820x faster
|
||||
Significant (t=11.504156)
|
||||
Stddev: 0.00117 -> 0.00073: 1.5957x smaller (N = 500)
|
||||
|
||||
Running 'query_get_or_create' benchmark ...
|
||||
Min: 0.000421 -> 0.000356: 1.1823x faster
|
||||
Avg: 0.000470 -> 0.000392: 1.2011x faster
|
||||
Significant (t=14.613017)
|
||||
Stddev: 0.00008 -> 0.00009: 1.0954x larger (N = 500)
|
||||
|
||||
Running 'query_values_list' benchmark ...
|
||||
Min: 0.000080 -> 0.000070: 1.1395x faster
|
||||
Avg: 0.000085 -> 0.000075: 1.1202x faster
|
||||
Significant (t=20.300988)
|
||||
Stddev: 0.00001 -> 0.00001: 1.0537x smaller (N = 500)
|
||||
|
||||
Running 'url_resolve_flat_i18n_off' benchmark ...
|
||||
Min: 0.056031 -> 0.045854: 1.2219x faster
|
||||
Avg: 0.057048 -> 0.048370: 1.1794x faster
|
||||
Significant (t=106.668460)
|
||||
Stddev: 0.00117 -> 0.00139: 1.1819x larger (N = 500)
|
||||
|
||||
Running 'qs_filter_chaining' benchmark ...
|
||||
Min: 0.000247 -> 0.000205: 1.2080x faster
|
||||
Avg: 0.000267 -> 0.000219: 1.2211x faster
|
||||
Significant (t=38.507950)
|
||||
Stddev: 0.00002 -> 0.00002: 1.0252x larger (N = 500)
|
||||
|
||||
Running 'template_render' benchmark ...
|
||||
Min: 0.000956 -> 0.000761: 1.2550x faster
|
||||
Avg: 0.001061 -> 0.000862: 1.2302x faster
|
||||
Significant (t=6.128572)
|
||||
Stddev: 0.00052 -> 0.00051: 1.0109x smaller (N = 500)
|
||||
|
||||
Running 'query_get' benchmark ...
|
||||
Min: 0.000268 -> 0.000235: 1.1388x faster
|
||||
Avg: 0.000293 -> 0.000256: 1.1411x faster
|
||||
Significant (t=24.002331)
|
||||
Stddev: 0.00002 -> 0.00003: 1.2917x larger (N = 500)
|
||||
|
||||
Running 'query_none' benchmark ...
|
||||
Min: 0.000055 -> 0.000050: 1.1079x faster
|
||||
Avg: 0.000061 -> 0.000055: 1.1183x faster
|
||||
Significant (t=3.149707)
|
||||
Stddev: 0.00003 -> 0.00004: 1.3162x larger (N = 500)
|
||||
|
||||
Running 'query_complex_filter' benchmark ...
|
||||
Min: 0.000040 -> 0.000034: 1.1777x faster
|
||||
Avg: 0.000042 -> 0.000038: 1.1267x faster
|
||||
Significant (t=15.246074)
|
||||
Stddev: 0.00000 -> 0.00001: 1.5250x larger (N = 500)
|
||||
|
||||
Running 'query_filter' benchmark ...
|
||||
Min: 0.000131 -> 0.000116: 1.1288x faster
|
||||
Avg: 0.000139 -> 0.000127: 1.0907x faster
|
||||
Significant (t=14.448319)
|
||||
Stddev: 0.00001 -> 0.00001: 1.2281x larger (N = 500)
|
||||
|
||||
Running 'template_render_simple' benchmark ...
|
||||
Min: 0.000031 -> 0.000024: 1.2650x faster
|
||||
Avg: 0.000037 -> 0.000029: 1.2895x faster
|
||||
Significant (t=2.094800)
|
||||
Stddev: 0.00007 -> 0.00005: 1.3630x smaller (N = 500)
|
||||
|
||||
Running 'default_middleware' benchmark ...
|
||||
Min: -0.000037 -> -0.000060: 0.6180x faster
|
||||
Avg: 0.000001 -> 0.000001: 1.0056x slower
|
||||
Not significant
|
||||
Stddev: 0.00002 -> 0.00002: 1.0915x smaller (N = 500)
|
||||
|
||||
Running 'query_annotate' benchmark ...
|
||||
Min: 0.000192 -> 0.000173: 1.1122x faster
|
||||
Avg: 0.000206 -> 0.000185: 1.1134x faster
|
||||
Significant (t=17.849733)
|
||||
Stddev: 0.00002 -> 0.00002: 1.0456x smaller (N = 500)
|
||||
|
||||
Running 'raw_sql' benchmark ...
|
||||
Min: 0.000013 -> 0.000012: 1.0839x faster
|
||||
Avg: 0.000015 -> 0.000014: 1.0882x faster
|
||||
Significant (t=4.252084)
|
||||
Stddev: 0.00001 -> 0.00000: 1.5868x smaller (N = 500)
|
||||
|
||||
Running 'url_resolve_flat' benchmark ...
|
||||
Min: 0.055540 -> 0.046018: 1.2069x faster
|
||||
Avg: 0.058030 -> 0.048408: 1.1988x faster
|
||||
Significant (t=98.852976)
|
||||
Stddev: 0.00157 -> 0.00151: 1.0444x smaller (N = 500)
|
||||
|
||||
Running 'l10n_render' benchmark ...
|
||||
Min: 0.001604 -> 0.001253: 1.2797x faster
|
||||
Avg: 0.001684 -> 0.001304: 1.2918x faster
|
||||
Significant (t=37.535402)
|
||||
Stddev: 0.00017 -> 0.00015: 1.1476x smaller (N = 500)
|
||||
|
||||
Running 'query_count' benchmark ...
|
||||
Min: 0.000176 -> 0.000165: 1.0631x faster
|
||||
Avg: 0.000189 -> 0.000176: 1.0755x faster
|
||||
Significant (t=12.229046)
|
||||
Stddev: 0.00002 -> 0.00002: 1.0395x larger (N = 500)
|
||||
|
||||
Running 'model_delete' benchmark ...
|
||||
Min: 0.000122 -> 0.000104: 1.1743x faster
|
||||
Avg: 0.000152 -> 0.000115: 1.3227x faster
|
||||
Significant (t=19.812953)
|
||||
Stddev: 0.00004 -> 0.00001: 2.6554x smaller (N = 500)
|
||||
|
||||
Running 'query_iterator' benchmark ...
|
||||
Min: 0.000108 -> 0.000094: 1.1518x faster
|
||||
Avg: 0.000119 -> 0.000098: 1.2203x faster
|
||||
Significant (t=21.984884)
|
||||
Stddev: 0.00002 -> 0.00001: 2.7750x smaller (N = 500)
|
||||
|
||||
Running 'template_compilation' benchmark ...
|
||||
Min: 0.000164 -> 0.000148: 1.1034x faster
|
||||
Avg: 0.000184 -> 0.000162: 1.1386x faster
|
||||
Significant (t=4.665298)
|
||||
Stddev: 0.00008 -> 0.00007: 1.2952x smaller (N = 500)
|
||||
|
||||
Running 'query_all_multifield' benchmark ...
|
||||
Min: 0.014802 -> 0.012188: 1.2144x faster
|
||||
Avg: 0.016029 -> 0.013294: 1.2057x faster
|
||||
Significant (t=21.516971)
|
||||
Stddev: 0.00210 -> 0.00191: 1.0984x smaller (N = 500)
|
||||
|
||||
Running 'query_prefetch_related' benchmark ...
|
||||
Min: 0.013401 -> 0.011583: 1.1569x faster
|
||||
Avg: 0.014822 -> 0.013366: 1.1090x faster
|
||||
Significant (t=11.422100)
|
||||
Stddev: 0.00170 -> 0.00229: 1.3410x larger (N = 500)
|
||||
|
||||
Running 'query_all_converters' benchmark ...
|
||||
Min: 0.000499 -> 0.000429: 1.1618x faster
|
||||
Avg: 0.000531 -> 0.000455: 1.1670x faster
|
||||
Significant (t=42.716720)
|
||||
Stddev: 0.00002 -> 0.00003: 1.5394x larger (N = 500)
|
||||
|
||||
Running 'query_distinct' benchmark ...
|
||||
Min: 0.000108 -> 0.000095: 1.1397x faster
|
||||
Avg: 0.000116 -> 0.000100: 1.1646x faster
|
||||
Significant (t=25.915629)
|
||||
Stddev: 0.00001 -> 0.00001: 1.1204x larger (N = 500)
|
||||
|
||||
Running 'query_dates' benchmark ...
|
||||
Min: 0.000333 -> 0.000290: 1.1490x faster
|
||||
Avg: 0.000365 -> 0.000326: 1.1207x faster
|
||||
Significant (t=18.213858)
|
||||
Stddev: 0.00003 -> 0.00003: 1.0118x larger (N = 500)
|
||||
|
||||
Running 'model_save_existing' benchmark ...
|
||||
Min: 0.003455 -> 0.003081: 1.1215x faster
|
||||
Avg: 0.003764 -> 0.003326: 1.1316x faster
|
||||
Significant (t=32.229651)
|
||||
Stddev: 0.00023 -> 0.00020: 1.1398x smaller (N = 500)
|
||||
|
||||
Running 'query_delete_related' benchmark ...
|
||||
Min: 0.000122 -> 0.000102: 1.1946x faster
|
||||
Avg: 0.000131 -> 0.000113: 1.1564x faster
|
||||
Significant (t=5.027485)
|
||||
Stddev: 0.00005 -> 0.00006: 1.4129x larger (N = 500)
|
||||
|
||||
Running 'url_reverse' benchmark ...
|
||||
Min: 0.000068 -> 0.000067: 1.0193x faster
|
||||
Avg: 0.000075 -> 0.000074: 1.0157x faster
|
||||
Not significant
|
||||
Stddev: 0.00006 -> 0.00005: 1.1543x smaller (N = 500)
|
||||
|
||||
Running 'query_latest' benchmark ...
|
||||
Min: 0.000147 -> 0.000138: 1.0631x faster
|
||||
Avg: 0.000167 -> 0.000148: 1.1277x faster
|
||||
Significant (t=11.353029)
|
||||
Stddev: 0.00003 -> 0.00002: 1.6091x smaller (N = 500)
|
||||
|
||||
Running 'form_create' benchmark ...
|
||||
Min: 0.000016 -> 0.000013: 1.2659x faster
|
||||
Avg: 0.000020 -> 0.000015: 1.2770x faster
|
||||
Significant (t=3.482649)
|
||||
Stddev: 0.00002 -> 0.00002: 1.0947x larger (N = 500)
|
||||
|
||||
Running 'query_update' benchmark ...
|
||||
Min: 0.000047 -> 0.000043: 1.0971x faster
|
||||
Avg: 0.000050 -> 0.000046: 1.0691x faster
|
||||
Significant (t=9.363513)
|
||||
Stddev: 0.00001 -> 0.00000: 1.2636x smaller (N = 500)
|
||||
|
||||
Running 'query_in_bulk' benchmark ...
|
||||
Min: 0.000157 -> 0.000143: 1.0970x faster
|
||||
Avg: 0.000178 -> 0.000162: 1.0981x faster
|
||||
Significant (t=9.031182)
|
||||
Stddev: 0.00002 -> 0.00003: 1.5173x larger (N = 500)
|
||||
|
||||
Running 'url_resolve_nested' benchmark ...
|
||||
Min: 0.000046 -> 0.000038: 1.2179x faster
|
||||
Avg: 0.000075 -> 0.000052: 1.4505x faster
|
||||
Not significant
|
||||
Stddev: 0.00059 -> 0.00024: 2.4300x smaller (N = 500)
|
||||
|
||||
Running 'model_creation' benchmark ...
|
||||
Min: 0.000071 -> 0.000065: 1.1058x faster
|
||||
Avg: 0.000079 -> 0.000073: 1.0876x faster
|
||||
Significant (t=2.786580)
|
||||
Stddev: 0.00003 -> 0.00004: 1.1518x larger (N = 500)
|
||||
|
||||
Running 'query_order_by' benchmark ...
|
||||
Min: 0.000146 -> 0.000128: 1.1407x faster
|
||||
Avg: 0.000154 -> 0.000138: 1.1206x faster
|
||||
Significant (t=14.021341)
|
||||
Stddev: 0.00002 -> 0.00002: 1.2540x larger (N = 500)
|
||||
|
||||
Running 'startup' benchmark ...
|
||||
Skipped: Django 1.9 and later has changed app loading. This benchmark needs fixing anyway.
|
||||
|
||||
Running 'form_clean' benchmark ...
|
||||
Min: 0.000005 -> 0.000004: 1.4613x faster
|
||||
Avg: 0.000006 -> 0.000004: 1.3654x faster
|
||||
Significant (t=12.763128)
|
||||
Stddev: 0.00000 -> 0.00000: 1.1666x larger (N = 500)
|
||||
|
||||
Running 'locale_from_request' benchmark ...
|
||||
Min: 0.000097 -> 0.000108: 1.1090x slower
|
||||
Avg: 0.000108 -> 0.000120: 1.1178x slower
|
||||
Significant (t=-3.057677)
|
||||
Stddev: 0.00007 -> 0.00006: 1.1186x smaller (N = 500)
|
||||
|
||||
Running 'query_exists' benchmark ...
|
||||
Min: 0.000273 -> 0.000234: 1.1698x faster
|
||||
Avg: 0.000290 -> 0.000248: 1.1686x faster
|
||||
Significant (t=39.518859)
|
||||
Stddev: 0.00002 -> 0.00002: 1.2025x smaller (N = 500)
|
||||
|
||||
Running 'query_values_10000' benchmark ...
|
||||
Min: 0.005601 -> 0.005298: 1.0571x faster
|
||||
Avg: 0.006023 -> 0.005691: 1.0583x faster
|
||||
Significant (t=6.167352)
|
||||
Stddev: 0.00082 -> 0.00088: 1.0752x larger (N = 500)
|
||||
|
||||
Running 'query_exclude' benchmark ...
|
||||
Min: 0.000159 -> 0.000140: 1.1367x faster
|
||||
Avg: 0.000165 -> 0.000149: 1.1020x faster
|
||||
Significant (t=19.643154)
|
||||
Stddev: 0.00001 -> 0.00001: 1.2636x larger (N = 500)
|
||||
|
||||
Running 'query_raw' benchmark ...
|
||||
Min: 0.005764 -> 0.004630: 1.2450x faster
|
||||
Avg: 0.006169 -> 0.004881: 1.2638x faster
|
||||
Significant (t=20.996453)
|
||||
Stddev: 0.00109 -> 0.00083: 1.3105x smaller (N = 500)
|
||||
|
||||
Running 'url_resolve' benchmark ...
|
||||
Min: 0.004928 -> 0.004597: 1.0721x faster
|
||||
Avg: 0.005217 -> 0.004716: 1.1063x faster
|
||||
Significant (t=46.893945)
|
||||
Stddev: 0.00022 -> 0.00010: 2.2192x smaller (N = 500)
|
||||
|
||||
Running 'model_save_new' benchmark ...
|
||||
Min: 0.003404 -> 0.003012: 1.1301x faster
|
||||
Avg: 0.003494 -> 0.003105: 1.1251x faster
|
||||
Significant (t=45.888484)
|
||||
Stddev: 0.00014 -> 0.00013: 1.0298x smaller (N = 500)
|
||||
|
||||
Running 'query_all' benchmark ...
|
||||
Min: 0.007971 -> 0.007085: 1.1250x faster
|
||||
Avg: 0.009091 -> 0.008147: 1.1159x faster
|
||||
Significant (t=7.583074)
|
||||
Stddev: 0.00183 -> 0.00210: 1.1518x larger (N = 500)
|
||||
```
|
||||
203
docs/maintenance/tuning/sql.md
Normal file
203
docs/maintenance/tuning/sql.md
Normal file
@ -0,0 +1,203 @@
|
||||
# SQL
|
||||
|
||||
SQL Tuning is usually the realm of experienced Database Admins, as it can be full of missteps leading to worse performance. It is _extremely_ important that you take it slowly, make one change at a time with dedicated research and test before and after.
|
||||
|
||||
Before you start down this path its best to update [MariaDB](https://mariadb.org/download/?t=repo-config) / MySQL. Performance Schemas, some default tuning and other general performance improvements are only available on new versions. You must also allow your server to run for 24 hours at least to gather accurate data.
|
||||
|
||||
## MySQLTuner
|
||||
|
||||
[MySQLTuner](https://github.com/major/MySQLTuner-perl) is a Perl script that will analyze inbuilt metrics and spit out recommendations.
|
||||
|
||||
### [performance_schema](https://mariadb.com/kb/en/performance-schema-system-variables/#performance_schema)
|
||||
|
||||
This should be ON for 24 hours before applying any recommendations, then can be turned _OFF_ to save Memory while its not needed.
|
||||
|
||||
```bash
|
||||
-------- Performance schema ------------------------------------------------------------------------
|
||||
[--] Performance_schema is activated.
|
||||
[--] Memory used by Performance_schema: 105.7M
|
||||
[--] Sys schema is installed.
|
||||
# 105M could be significant depending on your hardware
|
||||
```
|
||||
|
||||
## SQL Variables
|
||||
|
||||
### [skip-name-resolve](https://mariadb.com/kb/en/server-system-variables/#skip_name_resolve)
|
||||
|
||||
While on, SQL will perform a dns resolve for all connections, if your database is connected via IP, this will save you a handful of cpu cycles per connection.
|
||||
|
||||
Note you must use 127.0.0.1 for localhost connections, and all entries in GRANT tables (permissions), must use IP addresses.
|
||||
|
||||
### [table_definition_cache](https://mariadb.com/kb/en/server-system-variables/#table_definition_cache)
|
||||
|
||||
Will usually need to be expanded on installs with many extensions
|
||||
|
||||
Most installs should cache all their tables, but if your hit rate is still quite high, you may have a lot of rarely used tables that you don't need to waste memory caching.
|
||||
|
||||
```bash
|
||||
[OK] Table cache hit rate: 63% (2K hits / 4K requests).
|
||||
# Only 63% of our queries are using this cache
|
||||
table_definition_cache (400) > 567 or -1 (autosizing if supported)
|
||||
# Here We have 567 tables, but a default cache of only 400.
|
||||
```
|
||||
|
||||
```bash
|
||||
[OK] Table cache hit rate: 99% (372M hits / 372M requests)
|
||||
[OK] table_definition_cache (600) is greater than number of tables (567)
|
||||
# Much better
|
||||
```
|
||||
|
||||
### [innodb_buffer_pool_size](https://mariadb.com/kb/en/innodb-system-variables/#innodb_buffer_pool_size)
|
||||
|
||||
This is in short, the amount of memory assigned to store data for faster reads. If you are memory starved you should not increase this variable regardless of the suggestions of this tool. Pushing SQL cache to pagefile will not result in faster queries.
|
||||
|
||||
If you are not memory starved, you can wind this up to the amount of total data you have to store it all in memory. This would be a significant performance increase for larger installs on dedicated hardware with memory to spare.
|
||||
|
||||
```bash
|
||||
[!!] InnoDB buffer pool / data size: 128.0M / 651.6M
|
||||
# I have 651mb of _possible_ data to cache.
|
||||
# We won't and shouldn't cache it all unless we have excess memory to spare.
|
||||
...
|
||||
[!!] InnoDB Read buffer efficiency: 0% (-2019 hits / 0 total)
|
||||
# A low ratio here would suggest more Memory can be used effectively.
|
||||
# A high ratio might mean we have most of our regularly used data cached already
|
||||
```
|
||||
|
||||
### [innodb_log_buffer_size](https://mariadb.com/kb/en/innodb-system-variables/#innodb_log_buffer_size) / [innodb_log_file_size](https://mariadb.com/kb/en/innodb-system-variables/#innodb_log_file_size)
|
||||
|
||||
[innodb_log_file_size](https://mariadb.com/kb/en/innodb-system-variables/#innodb_log_file_size) This is your _write_ log, used to redo any commits in the event of a crash. MySQLTuner recommends this be 1/4 of your innodb_buffer_pool / read buffer. I would not lower this past the default size.
|
||||
|
||||
[innodb_log_buffer_size](https://mariadb.com/kb/en/innodb-system-variables/#innodb_log_buffer_size) This is the memory buffer for the write log. Larger transactions will benefit from a larger setting.
|
||||
|
||||
```bash
|
||||
[!!] Ratio InnoDB log file size / InnoDB Buffer pool size (75%): 96.0M \* 1 / 128.0M should be equal to 25%
|
||||
# Here our write log file is 75% of our read buffer, but 96MB is the default so we probably wont shrink it further
|
||||
...
|
||||
[OK] InnoDB Write Log efficiency: 99.11% (23167614 hits / 23375465 total) # Our transactions are typically not large enough to exhaust the write log buffer,
|
||||
[OK] InnoDB log waits: 0.00% (0 waits / 207851 writes)
|
||||
```
|
||||
|
||||
### [innodb_file_per_table](https://mariadb.com/kb/en/innodb-system-variables/#innodb_file_per_table)
|
||||
|
||||
This is not for performance, but for file system utilization and ease of use. While off all tables are stored in a single monolith file, as opposed to individual files. This is deprecated and set to ON in MariaDB 11.x
|
||||
|
||||
```bash
|
||||
[OK] InnoDB File per table is activated
|
||||
```
|
||||
|
||||
### [join_buffer_size](https://mariadb.com/kb/en/server-system-variables/#join_buffer_size)
|
||||
|
||||
It is always better to optimize a table with indexes, if you have valuable performance data and analysis please reach out to either the Alliance Auth or Community dev responsible for the data that could benefit from indexes. MySQLTuner will likely recommend increasing this number for as long as there are any queries that could benefit, regardless of their resulting performance impact.
|
||||
|
||||
Also keep in mind this is _per thread_, if you have a potential 200 connections, 256KB * 200 = 50MB, scaling this setting out too far can result in more memory use than expected.
|
||||
|
||||
```bash
|
||||
[!!] Joins performed without indexes: 67646
|
||||
```
|
||||
|
||||
```bash
|
||||
[OK] No joins without indexes
|
||||
# An ideal scenario. With well designed apps this is possible with a default join buffer.
|
||||
```
|
||||
|
||||
### [tmp_table_size](https://mariadb.com/kb/en/server-system-variables/#tmp_table_size) / [max_heap_table_size](https://mariadb.com/kb/en/server-system-variables/#max_heap_table_size)
|
||||
|
||||
If a temporary table must be created due to a lack of other optimizations or large queries, it may only be stored in memory under this size. Any larger and it is performed on disk reducing performance.
|
||||
|
||||
tmp_table_size and max_heap_table_size should be increased together.
|
||||
|
||||
```bash
|
||||
[!!] Temporary tables created on disk: 32% (775 on disk / 2K total)
|
||||
# 32% of my temp tables are performed on disk. If you increase this size, monitor if your performance improves.
|
||||
# If it does not you may have data of a certain size that is impractical to cache, and you can reclaim this memory.
|
||||
```
|
||||
|
||||
```bash
|
||||
[OK] Temporary tables created on disk: 0% (5K on disk / 4M total)
|
||||
# Here only a miniscule amount of my temp tables are done on disk. No action required
|
||||
```
|
||||
|
||||
### key_buffer_size
|
||||
|
||||
Index buffer for MyISAM tables, If you use no or very little data in MyISAM tables. You may reclaim some memory here
|
||||
|
||||
In this example we still have some MyISAM tables, you may have none
|
||||
|
||||
```bash
|
||||
[--] General MyIsam metrics:
|
||||
[--] +-- Total MyISAM Tables : 67
|
||||
[--] +-- Total MyISAM indexes : 7.1M
|
||||
[--] +-- KB Size :8.0M
|
||||
[--] +-- KB Used Size :1.5M
|
||||
[--] +-- KB used :18.3%
|
||||
[--] +-- Read KB hit rate: 0% (0 cached / 0 reads)
|
||||
[--] +-- Write KB hit rate: 0% (0 cached / 0 writes)
|
||||
[!!] Key buffer used: 18.3% (1.5M used / 8.0M cache) # We have only filled 1.5M of the 8 assigned
|
||||
[OK] Key buffer size / total MyISAM indexes: 8.0M/7.1M # This is the max theoretical buffer to cache all my indexes
|
||||
Variables to adjust:
|
||||
key_buffer_size (~ 1M)
|
||||
# Tuner has seen that we barely use this buffer and it can be shrunk, if you care about its impact don't lower this below your total indexes.
|
||||
```
|
||||
|
||||
### [aria_pagecache_buffer_size](https://mariadb.com/kb/en/aria-system-variables/#aria_pagecache_buffer_size)
|
||||
|
||||
Index and data buffer for Aria tables, If you use no or very little data in Aria tables. You may reclaim some memory here
|
||||
|
||||
```bash
|
||||
-------- Aria Metrics ------------------------------------------------------------------------------
|
||||
[--] Aria Storage Engine is enabled.
|
||||
[OK] Aria pagecache size / total Aria indexes: 128.0M/328.0K # i use a fraction of my aria buffer since i have no aria tables.
|
||||
[OK] Aria pagecache hit rate: 99.9% (112K cached / 75 reads) # Aria is used internally for MariaDB, so you still want an incredibly high ratio here.
|
||||
```
|
||||
|
||||
## Swappiness
|
||||
|
||||
Swappiness is not an SQL variable but part of your system kernel. Swappiness controls how much free memory a server "likes" to have at any given time, and how frequently it shifts data to swapfile in order to free up memory. Desktop operating systems will have this value set quite high, whereas servers are less aggressive with their swapfile.
|
||||
|
||||
Database workloads especially benefit from having their caches stay in memory and will recommend values under 10 for a dedicated database server. 10 is a good compromise for a mixed use server with adequate memory.
|
||||
|
||||
If your server is memory starved, leave swapfile aggressive to ensure it is moving memory around as needed.
|
||||
|
||||
```bash
|
||||
joel@METABOX:~/aa_dev$ free -m
|
||||
total used free shared buff/cache available
|
||||
Mem: 15998 1903 13372 2 722 13767
|
||||
Swap: 4096 1404 2691
|
||||
# Here we can see a lot of memory page (1404MB) sitting in swap while there is free memory (13372MB) available
|
||||
```
|
||||
|
||||
```bash
|
||||
[root@auth ~]# free -m
|
||||
total used free shared buff/cache available
|
||||
Mem: 738 611 59 1 68 35
|
||||
Swap: 2047 1014 1033
|
||||
# Here we can see a memory starved server highly utilizing swap already. I wouldn't mess with it too much. (vm.swappiness is 30)
|
||||
```
|
||||
|
||||
```bash
|
||||
[root@mysql ~]# free -m
|
||||
total used free shared buff/cache available
|
||||
Mem: 738 498 95 7 145 120
|
||||
Swap: 2047 289 1758
|
||||
# Here we can see a dedicated single use Database Server, Swappiness is 10 here because we have been careful not to starve it of memory and there is low potential to impact other applications
|
||||
```
|
||||
|
||||
```bash
|
||||
[--] Information about kernel tuning:
|
||||
...
|
||||
[--] vm.swappiness = 30
|
||||
[xx] Swappiness is < 10.
|
||||
...
|
||||
vm.swappiness <= 10 (echo 10 > /proc/sys/vm/swappiness) or vm.swappiness=10 in /etc/sysctl.conf
|
||||
```
|
||||
|
||||
## Max Asynchronous IO
|
||||
|
||||
Unless you are still operating on spinning rust (Hard Disk Drives), or an IO limited VPS, you can likely increase this value. Database workloads appreciate the additional scaling.
|
||||
|
||||
```bash
|
||||
[--] Information about kernel tuning:
|
||||
[--] fs.aio-max-nr = 65536
|
||||
...
|
||||
fs.aio-max-nr > 1M (echo 1048576 > /proc/sys/fs/aio-max-nr) or fs.aio-max-nr=1048576 in /etc/sysctl.conf
|
||||
```
|
||||
Loading…
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Reference in New Issue
Block a user