Elasticsearch 7.10.1集群压测报告（4核16G*3，Intel）
说明
本文描述问题及解决方法同样适用于 腾讯云 Elasticsearch Service（ES）。
另外使用到：腾讯云 云服务器（Cloud Virtual Machine，CVM）
本文延续上一篇 Elasticsearch压测工具esrally部署指南
本文另有延续：
Elasticsearch压力测试 - 云+社区 - 腾讯云 (tencent.com)
环境配置
Esrally客户端环境
- 版本
Linux环境：Centos 7.9
Python：3.8.7
Pip：pip 20.2.3 from pip (python 3.8)
Java：openjdk version 1.8.0_302 (build 1.8.0_302-b08)
Git：2.7.5
Esrally：2.3.0
- 配置
内存：32G
硬盘：SSD云硬盘 100GB
CPU个数：1
CPU核心数：16
Elasticsearch服务端环境
- 版本
Linux环境：Centos 7.2
Java：openjdk version 11.0.9.1-ga (build 11.0.9.1-ga+1, mixed mode)
Elasticsearch版本：7.10.1（腾讯云 Elasticsearch Service 白金版）
- 配置
节点数量：3
内存：16G
硬盘：SSD云硬盘 1TB
CPU个数：1
CPU核心数：4
CPU型号：Intel(R) Xeon(R) Platinum 8255C CPU @ 2.50GHz
背景
在大数据时代的今天，业务量越来越大，每天动辄都会产生上百GB、上TB的数据，所以拥有一个性能强劲的Elasticsearch集群就显得尤为重要。我们需要模拟大量网络日志、用户行为日志的读写动作，衡量各性能的指标，找出集群瓶颈所在，以确认我们需要怎样的硬件配置以及业务优化，才能满足现有的业务量，这就是我们在业务上线前所必要做的。
压测
esrally 相关术语及参数
Rally 是汽车拉力赛的意思，所以关于它里面术语也是跟汽车的拉力赛有关。
- track: 即赛道的意思，这里指压测用到的样本数据和压测策略，使用
esrally list tracks列出。rally 自带的 track 可在 https://github.com/elastic/rally-tracks 中查看，每个 track 的文件名中都存在 README.md 对压测的数据类型和参数做了详细的说明。如果没有指定 track， 则默认使用 geonames track 进行测试； - target-hosts：即远程elasticsearch的ip和端口，以ip:port的形式指定；
- pipeline: 指一个压测流程，可以通过
esrally list pipeline查看，其中有一个benchmark-only的流程，就是将 es 的管理交给用户来操作，rally 只用来做压测，如果你想针对已有的 es 进行压测，则使用该模式； - track-params：对默认的压测参数进行覆盖；
- user-tag：本次压测的 tag 标记；
- client-options：指定一些客户端连接选项，比如用户名和密码。
压测指令
esrally race \\
--track=geonames \\
--target-hosts=10.0.10.4:9200 \\
--pipeline=benchmark-only \\
--track-params="number_of_shards:3, number_of_replicas:1" \\
--user-tag="version:Intel_4C16G_1T*3" \\
--client-options="basic_auth_user:'elastic', basic_auth_password:'your_password'"压测报告
|
压测指标 |
压测任务 |
压测结果 |
单位 |
|---|---|---|---|
|
Cumulative indexing |
|
20.6193 |
min |
|
Min cumulative |
|
0 |
min |
|
Median cumulative |
|
0.004467 |
min |
|
Max cumulative |
|
7.40908 |
min |
|
Cumulative indexing |
|
0 |
min |
|
Min cumulative |
|
0 |
min |
|
Median cumulative |
|
0 |
min |
|
Max cumulative |
|
0 |
min |
|
Cumulative merge time |
|
6.56155 |
min |
|
Cumulative merge count |
|
154 |
|
|
Min cumulative merge |
|
0 |
min |
|
Median cumulative |
|
0.002467 |
min |
|
Max cumulative merge |
|
2.34035 |
min |
|
Cumulative merge |
|
0.72385 |
min |
|
Min cumulative merge |
|
0 |
min |
|
Median cumulative |
|
0 |
min |
|
Max cumulative merge |
|
0.255317 |
min |
|
Cumulative refresh |
|
2.66617 |
min |
|
Cumulative refresh |
|
1381 |
|
|
Min cumulative refresh |
|
0 |
min |
|
Median cumulative |
|
0.02155 |
min |
|
Max cumulative refresh |
|
0.84375 |
min |
|
Cumulative flush time |
|
0.357333 |
min |
|
Cumulative flush count |
|
16 |
|
|
Min cumulative flush |
|
0 |
min |
|
Median cumulative |
|
0.000483 |
min |
|
Max cumulative flush |
|
0.139483 |
min |
|
Total Young Gen GC |
|
23.305 |
s |
|
Total Young Gen GC |
|
2210 |
|
|
Total Old Gen GC time |
|
0 |
s |
|
Total Old Gen GC count |
|
0 |
|
|
Store size |
|
5.80512 |
GB |
|
Translog size |
|
0.016551 |
GB |
|
Heap used for segments |
|
0.894436 |
MB |
|
Heap used for doc |
|
0.212818 |
MB |
|
Heap used for terms |
|
0.579559 |
MB |
|
Heap used for norms |
|
0.052124 |
MB |
|
Heap used for points |
|
0 |
MB |
|
Heap used for stored |
|
0.049934 |
MB |
|
Segment count |
|
103 |
|
|
Min Throughput |
index-append |
37192.1 |
docs/s |
|
Mean Throughput |
index-append |
38562.3 |
docs/s |
|
Median Throughput |
index-append |
38577.4 |
docs/s |
|
Max Throughput |
index-append |
39329.3 |
docs/s |
|
50th percentile |
index-append |
757.069 |
ms |
|
90th percentile |
index-append |
1558.87 |
ms |
|
99th percentile |
index-append |
3131.2 |
ms |
|
99.9th percentile |
index-append |
4159.98 |
ms |
|
100th percentile |
index-append |
4638.15 |
ms |
|
50th percentile |
index-append |
757.069 |
ms |
|
90th percentile |
index-append |
1558.87 |
ms |
|
99th percentile |
index-append |
3131.2 |
ms |
|
99.9th percentile |
index-append |
4159.98 |
ms |
|
100th percentile |
index-append |
4638.15 |
ms |
|
error rate |
index-append |
0 |
% |
|
Min Throughput |
index-stats |
88.84 |
ops/s |
|
Mean Throughput |
index-stats |
89.31 |
ops/s |
|
Median Throughput |
index-stats |
89.37 |
ops/s |
|
Max Throughput |
index-stats |
89.57 |
ops/s |
|
50th percentile |
index-stats |
3.74153 |
ms |
|
90th percentile |
index-stats |
4.26026 |
ms |
|
99th percentile |
index-stats |
5.06623 |
ms |
|
99.9th percentile |
index-stats |
10.9303 |
ms |
|
100th percentile |
index-stats |
11.3278 |
ms |
|
50th percentile |
index-stats |
2.98002 |
ms |
|
90th percentile |
index-stats |
3.3412 |
ms |
|
99th percentile |
index-stats |
4.48545 |
ms |
|
99.9th percentile |
index-stats |
10.0526 |
ms |
|
100th percentile |
index-stats |
10.456 |
ms |
|
error rate |
index-stats |
0 |
% |
|
Min Throughput |
node-stats |
89.96 |
ops/s |
|
Mean Throughput |
node-stats |
89.98 |
ops/s |
|
Median Throughput |
node-stats |
89.98 |
ops/s |
|
Max Throughput |
node-stats |
89.99 |
ops/s |
|
50th percentile |
node-stats |
4.20336 |
ms |
|
90th percentile |
node-stats |
4.86076 |
ms |
|
99th percentile |
node-stats |
7.46976 |
ms |
|
99.9th percentile |
node-stats |
23.3641 |
ms |
|
100th percentile |
node-stats |
26.0743 |
ms |
|
50th percentile |
node-stats |
3.44984 |
ms |
|
90th percentile |
node-stats |
3.98803 |
ms |
|
99th percentile |
node-stats |
5.88917 |
ms |
|
99.9th percentile |
node-stats |
18.5987 |
ms |
|
100th percentile |
node-stats |
19.6244 |
ms |
|
error rate |
node-stats |
0 |
% |
|
Min Throughput |
default |
50.01 |
ops/s |
|
Mean Throughput |
default |
50.02 |
ops/s |
|
Median Throughput |
default |
50.02 |
ops/s |
|
Max Throughput |
default |
50.03 |
ops/s |
|
50th percentile |
default |
4.56919 |
ms |
|
90th percentile |
default |
5.15531 |
ms |
|
99th percentile |
default |
6.27243 |
ms |
|
99.9th percentile |
default |
12.4007 |
ms |
|
100th percentile |
default |
22.4557 |
ms |
|
50th percentile |
default |
3.86202 |
ms |
|
90th percentile |
default |
4.26302 |
ms |
|
99th percentile |
default |
5.09573 |
ms |
|
99.9th percentile |
default |
12.0892 |
ms |
|
100th percentile |
default |
22.0959 |
ms |
|
error rate |
default |
0 |
% |
|
Min Throughput |
term |
99.87 |
ops/s |
|
Mean Throughput |
term |
99.92 |
ops/s |
|
Median Throughput |
term |
99.92 |
ops/s |
|
Max Throughput |
term |
99.95 |
ops/s |
|
50th percentile |
term |
3.6805 |
ms |
|
90th percentile |
term |
4.20496 |
ms |
|
99th percentile |
term |
4.8078 |
ms |
|
99.9th percentile |
term |
6.21686 |
ms |
|
100th percentile |
term |
7.67519 |
ms |
|
50th percentile |
term |
2.95697 |
ms |
|
90th percentile |
term |
3.34813 |
ms |
|
99th percentile |
term |
3.7931 |
ms |
|
99.9th percentile |
term |
5.68276 |
ms |
|
100th percentile |
term |
7.39664 |
ms |
|
error rate |
term |
0 |
% |
|
Min Throughput |
phrase |
109.74 |
ops/s |
|
Mean Throughput |
phrase |
109.84 |
ops/s |
|
Median Throughput |
phrase |
109.86 |
ops/s |
|
Max Throughput |
phrase |
109.9 |
ops/s |
|
50th percentile |
phrase |
4.28877 |
ms |
|
90th percentile |
phrase |
5.11524 |
ms |
|
99th percentile |
phrase |
42.0841 |
ms |
|
99.9th percentile |
phrase |
69.3999 |
ms |
|
100th percentile |
phrase |
74.596 |
ms |
|
50th percentile |
phrase |
3.56652 |
ms |
|
90th percentile |
phrase |
4.15267 |
ms |
|
99th percentile |
phrase |
6.57685 |
ms |
|
99.9th percentile |
phrase |
46.4388 |
ms |
|
100th percentile |
phrase |
73.9546 |
ms |
|
error rate |
phrase |
0 |
% |
|
Min Throughput |
country_agg_uncached |
2.98 |
ops/s |
|
Mean Throughput |
country_agg_uncached |
2.99 |
ops/s |
|
Median Throughput |
country_agg_uncached |
2.99 |
ops/s |
|
Max Throughput |
country_agg_uncached |
2.99 |
ops/s |
|
50th percentile |
country_agg_uncached |
394.449 |
ms |
|
90th percentile |
country_agg_uncached |
599.613 |
ms |
|
99th percentile |
country_agg_uncached |
710.759 |
ms |
|
100th percentile |
country_agg_uncached |
726.641 |
ms |
|
50th percentile |
country_agg_uncached |
273.89 |
ms |
|
90th percentile |
country_agg_uncached |
418.28 |
ms |
|
99th percentile |
country_agg_uncached |
422.41 |
ms |
|
100th percentile |
country_agg_uncached |
424.37 |
ms |
|
error rate |
country_agg_uncached |
0 |
% |
|
Min Throughput |
country_agg_cached |
96.28 |
ops/s |
|
Mean Throughput |
country_agg_cached |
97.26 |
ops/s |
|
Median Throughput |
country_agg_cached |
97.35 |
ops/s |
|
Max Throughput |
country_agg_cached |
97.95 |
ops/s |
|
50th percentile |
country_agg_cached |
2.55901 |
ms |
|
90th percentile |
country_agg_cached |
3.09923 |
ms |
|
99th percentile |
country_agg_cached |
3.97148 |
ms |
|
99.9th percentile |
country_agg_cached |
7.76284 |
ms |
|
100th percentile |
country_agg_cached |
14.3596 |
ms |
|
50th percentile |
country_agg_cached |
1.8663 |
ms |
|
90th percentile |
country_agg_cached |
2.14042 |
ms |
|
99th percentile |
country_agg_cached |
2.8934 |
ms |
|
99.9th percentile |
country_agg_cached |
6.04843 |
ms |
|
100th percentile |
country_agg_cached |
13.7749 |
ms |
|
error rate |
country_agg_cached |
0 |
% |
|
Min Throughput |
scroll |
20.02 |
pages/s |
|
Mean Throughput |
scroll |
20.03 |
pages/s |
|
Median Throughput |
scroll |
20.03 |
pages/s |
|
Max Throughput |
scroll |
20.04 |
pages/s |
|
50th percentile |
scroll |
639.647 |
ms |
|
90th percentile |
scroll |
654.51 |
ms |
|
99th percentile |
scroll |
670.697 |
ms |
|
100th percentile |
scroll |
671.465 |
ms |
|
50th percentile |
scroll |
638.284 |
ms |
|
90th percentile |
scroll |
652.531 |
ms |
|
99th percentile |
scroll |
669.014 |
ms |
|
100th percentile |
scroll |
669.801 |
ms |
|
error rate |
scroll |
0 |
% |
|
Min Throughput |
expression |
1.49 |
ops/s |
|
Mean Throughput |
expression |
1.5 |
ops/s |
|
Median Throughput |
expression |
1.5 |
ops/s |
|
Max Throughput |
expression |
1.5 |
ops/s |
|
50th percentile |
expression |
586.499 |
ms |
|
90th percentile |
expression |
831.2 |
ms |
|
99th percentile |
expression |
995.585 |
ms |
|
100th percentile |
expression |
1158.31 |
ms |
|
50th percentile |
expression |
503.344 |
ms |
|
90th percentile |
expression |
829.329 |
ms |
|
99th percentile |
expression |
835.81 |
ms |
|
100th percentile |
expression |
840.604 |
ms |
|
error rate |
expression |
0 |
% |
|
Min Throughput |
painless_static |
1.33 |
ops/s |
|
Mean Throughput |
painless_static |
1.33 |
ops/s |
|
Median Throughput |
painless_static |
1.33 |
ops/s |
|
Max Throughput |
painless_static |
1.34 |
ops/s |
|
50th percentile |
painless_static |
8863.94 |
ms |
|
90th percentile |
painless_static |
11195.4 |
ms |
|
99th percentile |
painless_static |
11497.7 |
ms |
|
100th percentile |
painless_static |
11565.9 |
ms |
|
50th percentile |
painless_static |
677.084 |
ms |
|
90th percentile |
painless_static |
1007.67 |
ms |
|
99th percentile |
painless_static |
1017.51 |
ms |
|
100th percentile |
painless_static |
1019.52 |
ms |
|
error rate |
painless_static |
0 |
% |
|
Min Throughput |
painless_dynamic |
1.34 |
ops/s |
|
Mean Throughput |
painless_dynamic |
1.34 |
ops/s |
|
Median Throughput |
painless_dynamic |
1.34 |
ops/s |
|
Max Throughput |
painless_dynamic |
1.35 |
ops/s |
|
50th percentile |
painless_dynamic |
7716.2 |
ms |
|
90th percentile |
painless_dynamic |
9965.18 |
ms |
|
99th percentile |
painless_dynamic |
10441.3 |
ms |
|
100th percentile |
painless_dynamic |
10492.5 |
ms |
|
50th percentile |
painless_dynamic |
661.345 |
ms |
|
90th percentile |
painless_dynamic |
1037.11 |
ms |
|
99th percentile |
painless_dynamic |
1043.82 |
ms |
|
100th percentile |
painless_dynamic |
1047.61 |
ms |
|
error rate |
painless_dynamic |
0 |
% |
|
Min Throughput |
decay_geo_gauss_function_score |
1 |
ops/s |
|
Mean Throughput |
decay_geo_gauss_function_score |
1 |
ops/s |
|
Median Throughput |
decay_geo_gauss_function_score |
1 |
ops/s |
|
Max Throughput |
decay_geo_gauss_function_score |
1 |
ops/s |
|
50th percentile |
decay_geo_gauss_function_score |
648.712 |
ms |
|
90th percentile |
decay_geo_gauss_function_score |
857.975 |
ms |
|
99th percentile |
decay_geo_gauss_function_score |
865.561 |
ms |
|
100th percentile |
decay_geo_gauss_function_score |
900.39 |
ms |
|
50th percentile |
decay_geo_gauss_function_score |
647.561 |
ms |
|
90th percentile |
decay_geo_gauss_function_score |
856.9 |
ms |
|
99th percentile |
decay_geo_gauss_function_score |
864.853 |
ms |
|
100th percentile |
decay_geo_gauss_function_score |
899.441 |
ms |
|
error rate |
decay_geo_gauss_function_score |
0 |
% |
|
Min Throughput |
decay_geo_gauss_script_score |
1 |
ops/s |
|
Mean Throughput |
decay_geo_gauss_script_score |
1 |
ops/s |
|
Median Throughput |
decay_geo_gauss_script_score |
1 |
ops/s |
|
Max Throughput |
decay_geo_gauss_script_score |
1 |
ops/s |
|
50th percentile |
decay_geo_gauss_script_score |
675.759 |
ms |
|
90th percentile |
decay_geo_gauss_script_score |
858.931 |
ms |
|
99th percentile |
decay_geo_gauss_script_score |
867.416 |
ms |
|
100th percentile |
decay_geo_gauss_script_score |
867.762 |
ms |
|
50th percentile |
decay_geo_gauss_script_score |
673.839 |
ms |
|
90th percentile |
decay_geo_gauss_script_score |
858.017 |
ms |
|
99th percentile |
decay_geo_gauss_script_score |
865.997 |
ms |
|
100th percentile |
decay_geo_gauss_script_score |
866.189 |
ms |
|
error rate |
decay_geo_gauss_script_score |
0 |
% |
|
Min Throughput |
field_value_function_score |
1.5 |
ops/s |
|
Mean Throughput |
field_value_function_score |
1.5 |
ops/s |
|
Median Throughput |
field_value_function_score |
1.5 |
ops/s |
|
Max Throughput |
field_value_function_score |
1.5 |
ops/s |
|
50th percentile |
field_value_function_score |
244.946 |
ms |
|
90th percentile |
field_value_function_score |
344.916 |
ms |
|
99th percentile |
field_value_function_score |
352.398 |
ms |
|
100th percentile |
field_value_function_score |
353.123 |
ms |
|
50th percentile |
field_value_function_score |
243.922 |
ms |
|
90th percentile |
field_value_function_score |
343.923 |
ms |
|
99th percentile |
field_value_function_score |
351.699 |
ms |
|
100th percentile |
field_value_function_score |
352.372 |
ms |
|
error rate |
field_value_function_score |
0 |
% |
|
Min Throughput |
field_value_script_score |
1.5 |
ops/s |
|
Mean Throughput |
field_value_script_score |
1.5 |
ops/s |
|
Median Throughput |
field_value_script_score |
1.5 |
ops/s |
|
Max Throughput |
field_value_script_score |
1.5 |
ops/s |
|
50th percentile |
field_value_script_score |
336.508 |
ms |
|
90th percentile |
field_value_script_score |
524.796 |
ms |
|
99th percentile |
field_value_script_score |
525.673 |
ms |
|
100th percentile |
field_value_script_score |
534.845 |
ms |
|
50th percentile |
field_value_script_score |
335.238 |
ms |
|
90th percentile |
field_value_script_score |
523.149 |
ms |
|
99th percentile |
field_value_script_score |
524.684 |
ms |
|
100th percentile |
field_value_script_score |
533.281 |
ms |
|
error rate |
field_value_script_score |
0 |
% |
|
Min Throughput |
large_terms |
0.83 |
ops/s |
|
Mean Throughput |
large_terms |
0.83 |
ops/s |
|
Median Throughput |
large_terms |
0.83 |
ops/s |
|
Max Throughput |
large_terms |
0.84 |
ops/s |
|
50th percentile |
large_terms |
73647.2 |
ms |
|
90th percentile |
large_terms |
84331.5 |
ms |
|
99th percentile |
large_terms |
87455.4 |
ms |
|
100th percentile |
large_terms |
87763.8 |
ms |
|
50th percentile |
large_terms |
1100 |
ms |
|
90th percentile |
large_terms |
1595.42 |
ms |
|
99th percentile |
large_terms |
1740.93 |
ms |
|
100th percentile |
large_terms |
1749.53 |
ms |
|
error rate |
large_terms |
0 |
% |
|
Min Throughput |
large_filtered_terms |
0.82 |
ops/s |
|
Mean Throughput |
large_filtered_terms |
0.82 |
ops/s |
|
Median Throughput |
large_filtered_terms |
0.82 |
ops/s |
|
Max Throughput |
large_filtered_terms |
0.82 |
ops/s |
|
50th percentile |
large_filtered_terms |
78609.8 |
ms |
|
90th percentile |
large_filtered_terms |
90167.3 |
ms |
|
99th percentile |
large_filtered_terms |
92686.3 |
ms |
|
100th percentile |
large_filtered_terms |
92819.9 |
ms |
|
50th percentile |
large_filtered_terms |
1068.04 |
ms |
|
90th percentile |
large_filtered_terms |
1596.99 |
ms |
|
99th percentile |
large_filtered_terms |
1726.52 |
ms |
|
100th percentile |
large_filtered_terms |
1752.59 |
ms |
|
error rate |
large_filtered_terms |
0 |
% |
|
Min Throughput |
large_prohibited_terms |
0.89 |
ops/s |
|
Mean Throughput |
large_prohibited_terms |
0.9 |
ops/s |
|
Median Throughput |
large_prohibited_terms |
0.9 |
ops/s |
|
Max Throughput |
large_prohibited_terms |
0.91 |
ops/s |
|
50th percentile |
large_prohibited_terms |
51245.5 |
ms |
|
90th percentile |
large_prohibited_terms |
61183.4 |
ms |
|
99th percentile |
large_prohibited_terms |
63242.5 |
ms |
|
100th percentile |
large_prohibited_terms |
63721.2 |
ms |
|
50th percentile |
large_prohibited_terms |
1083.46 |
ms |
|
90th percentile |
large_prohibited_terms |
1384.08 |
ms |
|
99th percentile |
large_prohibited_terms |
1684.25 |
ms |
|
100th percentile |
large_prohibited_terms |
1716.78 |
ms |
|
error rate |
large_prohibited_terms |
0 |
% |
|
Min Throughput |
desc_sort_population |
1.5 |
ops/s |
|
Mean Throughput |
desc_sort_population |
1.5 |
ops/s |
|
Median Throughput |
desc_sort_population |
1.5 |
ops/s |
|
Max Throughput |
desc_sort_population |
1.5 |
ops/s |
|
50th percentile |
desc_sort_population |
108.037 |
ms |
|
90th percentile |
desc_sort_population |
169.415 |
ms |
|
99th percentile |
desc_sort_population |
173.849 |
ms |
|
100th percentile |
desc_sort_population |
174.702 |
ms |
|
50th percentile |
desc_sort_population |
106.235 |
ms |
|
90th percentile |
desc_sort_population |
168.255 |
ms |
|
99th percentile |
desc_sort_population |
172.249 |
ms |
|
100th percentile |
desc_sort_population |
172.439 |
ms |
|
error rate |
desc_sort_population |
0 |
% |
|
Min Throughput |
asc_sort_population |
1.5 |
ops/s |
|
Mean Throughput |
asc_sort_population |
1.5 |
ops/s |
|
Median Throughput |
asc_sort_population |
1.5 |
ops/s |
|
Max Throughput |
asc_sort_population |
1.51 |
ops/s |
|
50th percentile |
asc_sort_population |
112.151 |
ms |
|
90th percentile |
asc_sort_population |
187.041 |
ms |
|
99th percentile |
asc_sort_population |
190.23 |
ms |
|
100th percentile |
asc_sort_population |
190.757 |
ms |
|
50th percentile |
asc_sort_population |
111.163 |
ms |
|
90th percentile |
asc_sort_population |
185.456 |
ms |
|
99th percentile |
asc_sort_population |
189.457 |
ms |
|
100th percentile |
asc_sort_population |
189.604 |
ms |
|
error rate |
asc_sort_population |
0 |
% |
|
Min Throughput |
asc_sort_with_after_population |
1.5 |
ops/s |
|
Mean Throughput |
asc_sort_with_after_population |
1.5 |
ops/s |
|
Median Throughput |
asc_sort_with_after_population |
1.5 |
ops/s |
|
Max Throughput |
asc_sort_with_after_population |
1.5 |
ops/s |
|
50th percentile |
asc_sort_with_after_population |
166.955 |
ms |
|
90th percentile |
asc_sort_with_after_population |
299.339 |
ms |
|
99th percentile |
asc_sort_with_after_population |
303.174 |
ms |
|
100th percentile |
asc_sort_with_after_population |
304.096 |
ms |
|
50th percentile |
asc_sort_with_after_population |
166.094 |
ms |
|
90th percentile |
asc_sort_with_after_population |
298.16 |
ms |
|
99th percentile |
asc_sort_with_after_population |
301.707 |
ms |
|
100th percentile |
asc_sort_with_after_population |
302.899 |
ms |
|
error rate |
asc_sort_with_after_population |
0 |
% |
|
Min Throughput |
desc_sort_geonameid |
6 |
ops/s |
|
Mean Throughput |
desc_sort_geonameid |
6 |
ops/s |
|
Median Throughput |
desc_sort_geonameid |
6 |
ops/s |
|
Max Throughput |
desc_sort_geonameid |
6 |
ops/s |
|
50th percentile |
desc_sort_geonameid |
12.1517 |
ms |
|
90th percentile |
desc_sort_geonameid |
13.2045 |
ms |
|
99th percentile |
desc_sort_geonameid |
13.6046 |
ms |
|
100th percentile |
desc_sort_geonameid |
13.9144 |
ms |
|
50th percentile |
desc_sort_geonameid |
11.6082 |
ms |
|
90th percentile |
desc_sort_geonameid |
12.2822 |
ms |
|
99th percentile |
desc_sort_geonameid |
12.4863 |
ms |
|
100th percentile |
desc_sort_geonameid |
13.133 |
ms |
|
error rate |
desc_sort_geonameid |
0 |
% |
|
Min Throughput |
desc_sort_with_after_geonameid |
5.62 |
ops/s |
|
Mean Throughput |
desc_sort_with_after_geonameid |
5.65 |
ops/s |
|
Median Throughput |
desc_sort_with_after_geonameid |
5.65 |
ops/s |
|
Max Throughput |
desc_sort_with_after_geonameid |
5.69 |
ops/s |
|
50th percentile |
desc_sort_with_after_geonameid |
2714.69 |
ms |
|
90th percentile |
desc_sort_with_after_geonameid |
2848.8 |
ms |
|
99th percentile |
desc_sort_with_after_geonameid |
2957.33 |
ms |
|
100th percentile |
desc_sort_with_after_geonameid |
2987.48 |
ms |
|
50th percentile |
desc_sort_with_after_geonameid |
142.747 |
ms |
|
90th percentile |
desc_sort_with_after_geonameid |
243.951 |
ms |
|
99th percentile |
desc_sort_with_after_geonameid |
249.702 |
ms |
|
100th percentile |
desc_sort_with_after_geonameid |
249.824 |
ms |
|
error rate |
desc_sort_with_after_geonameid |
0 |
% |
|
Min Throughput |
asc_sort_geonameid |
6.02 |
ops/s |
|
Mean Throughput |
asc_sort_geonameid |
6.02 |
ops/s |
|
Median Throughput |
asc_sort_geonameid |
6.02 |
ops/s |
|
Max Throughput |
asc_sort_geonameid |
6.03 |
ops/s |
|
50th percentile |
asc_sort_geonameid |
6.19295 |
ms |
|
90th percentile |
asc_sort_geonameid |
6.85094 |
ms |
|
99th percentile |
asc_sort_geonameid |
8.11223 |
ms |
|
100th percentile |
asc_sort_geonameid |
8.7874 |
ms |
|
50th percentile |
asc_sort_geonameid |
5.51636 |
ms |
|
90th percentile |
asc_sort_geonameid |
5.82107 |
ms |
|
99th percentile |
asc_sort_geonameid |
7.5506 |
ms |
|
100th percentile |
asc_sort_geonameid |
7.88462 |
ms |
|
error rate |
asc_sort_geonameid |
0 |
% |
|
Min Throughput |
asc_sort_with_after_geonameid |
5.97 |
ops/s |
|
Mean Throughput |
asc_sort_with_after_geonameid |
5.98 |
ops/s |
|
Median Throughput |
asc_sort_with_after_geonameid |
5.98 |
ops/s |
|
Max Throughput |
asc_sort_with_after_geonameid |
5.99 |
ops/s |
|
50th percentile |
asc_sort_with_after_geonameid |
215.845 |
ms |
|
90th percentile |
asc_sort_with_after_geonameid |
302.616 |
ms |
|
99th percentile |
asc_sort_with_after_geonameid |
392.432 |
ms |
|
100th percentile |
asc_sort_with_after_geonameid |
434.061 |
ms |
|
50th percentile |
asc_sort_with_after_geonameid |
127.588 |
ms |
|
90th percentile |
asc_sort_with_after_geonameid |
214.525 |
ms |
|
99th percentile |
asc_sort_with_after_geonameid |
216.275 |
ms |
|
100th percentile |
asc_sort_with_after_geonameid |
217.393 |
ms |
|
error rate |
asc_sort_with_after_geonameid |
0 |
% |
