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部署完es后，怎么知道目前es服务的性能呢？这时就可以用官方的工具esrally来压一压，看看你装的es服务能有多秀
esrally工具安装
[root@xadocker-ops ~]# yum install python36 -y
[root@xadocker-ops ~]# yum install gcc libffi-devel python3-devel openssl-devel -y
[root@xadocker-ops ~]# pip3 install esrally -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cnesrally配置
[root@xadocker-ops ~]# esrally configure
Traceback (most recent call last):
File "/usr/local/bin/esrally", line 7, in <module>
from esrally.rally import main
File "/usr/local/lib/python3.6/site-packages/esrally/__init__.py", line 24, in <module>
__version__ = pkg_resources.require("esrally")[0].version
File "/usr/lib/python3.6/site-packages/pkg_resources/__init__.py", line 888, in require
needed = self.resolve(parse_requirements(requirements))
File "/usr/lib/python3.6/site-packages/pkg_resources/__init__.py", line 779, in resolve
raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (urllib3 1.26.13 (/usr/local/lib/python3.6/site-packages), Requirement.parse('urllib3<1.26,>=1.20; python_version >= "3.4"'), {'botocore'})
[root@xadocker-ops ~]# pip3 install urllib3==1.25
WARNING: Running pip install with root privileges is generally not a good idea. Try `pip3 install --user` instead.
Collecting urllib3==1.25
Downloading https://files.pythonhosted.org/packages/81/9b/715e96377cc1f87e71d9d4259c6f88bf561a539622ba3042e73188e0bc2d/urllib3-1.25-py2.py3-none-any.whl (149kB)
100% |████████████████████████████████| 153kB 888kB/s
Installing collected packages: urllib3
Found existing installation: urllib3 1.26.13
Uninstalling urllib3-1.26.13:
Successfully uninstalled urllib3-1.26.13
Successfully installed urllib3-1.25
[root@xadocker-ops ~]# esrally configure
____ ____
/ __ \____ _/ / /_ __
/ /_/ / __ `/ / / / / /
/ _, _/ /_/ / / / /_/ /
/_/ |_|\__,_/_/_/\__, /
/____/
Running simple configuration. Run the advanced configuration with:
esrally configure --advanced-config
* Setting up benchmark root directory in /root/.rally/benchmarks
* Setting up benchmark source directory in /root/.rally/benchmarks/src/elasticsearch
Configuration successfully written to /root/.rally/rally.ini. Happy benchmarking!esrally使用
下载测试数据
[root@xadocker-ops ~]# curl -O https://raw.githubusercontent.com/elastic/rally-tracks/master/download.sh
[root@xadocker-ops ~]# yum install git -y
[root@xadocker-ops ~]# bash download.sh geonames
[root@xadocker-ops ~]# ll .rally/benchmarks/data/geonames/
total 3723496
-rw-r--r-- 1 root root 20985 Dec 16 15:45 documents-2-1k.json.bz2
-rw-r--r-- 1 root root 3547613828 Dec 16 17:11 documents-2.json
-rw-r--r-- 1 root root 265208777 Dec 16 15:45 documents-2.json.bz2
-rw-r--r-- 1 root root 4250 Dec 16 17:11 documents-2.json.offset
[root@xadocker-ops ~]# wc -l .rally/benchmarks/data/geonames/documents-2.json
11396503 .rally/benchmarks/data/geonames/documents-2.json
运行测试任务
[root@xadocker-ops ~]# esrally --pipeline=benchmark-only --target-hosts=192.168.44.142:9200,192.168.44.143:9200,192.168.44.144:9200 --track=geonames --offline --track-params="number_of_shards:12,bulk_indexing_clients:48" --report-file=/opt/report_geonames_12_48-numa.csv --report-format=csv --client-options="use_ssl:false,verify_certs:false,basic_auth_user:'elastic',basic_auth_password:'elastic'"
____ ____
/ __ \____ _/ / /_ __
/ /_/ / __ `/ / / / / /
/ _, _/ /_/ / / / /_/ /
/_/ |_|\__,_/_/_/\__, /
/____/
[INFO] You did not provide an explicit timeout in the client options. Assuming default of 10 seconds.
************************************************************************
************** WARNING: A dark dungeon lies ahead of you **************
************************************************************************
Rally does not have control over the configuration of the benchmarked
Elasticsearch cluster.
Be aware that results may be misleading due to problems with the setup.
Rally is also not able to gather lots of metrics at all (like CPU usage
of the benchmarked cluster) or may even produce misleading metrics (like
the index size).
************************************************************************
****** Use this pipeline only if you are aware of the tradeoffs. ******
*************************** Watch your step! ***************************
************************************************************************
[ERROR] Cannot race. Error in race control (("Your git version is [['git version 1.8.3.1']] but Rally requires at least git 1.9. Please update git.", None))
Getting further help:
*********************
* Check the log files in /root/.rally/logs for errors.
* Read the documentation at https://esrally.readthedocs.io/en/1.4.1/
* Ask a question on the forum at https://discuss.elastic.co/c/elasticsearch/rally
* Raise an issue at https://github.com/elastic/rally/issues and include the log files in /root/.rally/logs.
--------------------------------
[INFO] FAILURE (took 59 seconds)
--------------------------------看样子好像git版本太低了，得重新安装一个
git 2.x编译安装
[root@xadocker-ops ~]# git --version
git version 1.8.3.1
[root@xadocker-ops ~]# yum remove -y git
[root@xadocker-ops ~]# yum install -y curl-devel expat-devel gettext-devel openssl-devel zlib-devel asciidoc xmlto perl-devel perl-CPAN autoconf*
[root@xadocker-ops ~]# cd /usr/local/src
[root@xadocker-ops src]# wget https://github.com/git/git/archive/v2.2.1.tar.gz
[root@xadocker-ops src]# tar -zvxf v2.2.1.tar.gz
[root@xadocker-ops src]# ll
total 5068
drwxrwxr-x 22 root root 24576 Dec 16 17:02 git-2.2.1
-rw-r--r-- 1 root root 5145893 Dec 16 16:51 v2.2.1.tar.gz
[root@xadocker-ops src]# cd git-2.2.1
[root@xadocker-ops git-2.2.1]# ./configure --prefix=/usr/local/git --with-iconv=/usr/local/libiconv
[root@xadocker-ops git-2.2.1]# make all doc
[root@xadocker-ops git-2.2.1]# make install install-doc install-html
[root@xadocker-ops git-2.2.1]# echo "export PATH=$PATH:/usr/local/git/bin" >> /etc/bashrc
[root@xadocker-ops git-2.2.1]# source /etc/bashrc
[root@xadocker-ops git-2.2.1]# git --version
git version 2.2.1此时再次运行我们的任务
[root@xadocker-ops ~]# esrally --pipeline=benchmark-only --target-hosts=192.168.44.142:9200,192.168.44.143:9200,192.168.44.144:9200 --track=geonames --offline --track-params="number_of_shards:12,bulk_indexing_clients:48" --report-file=/opt/report_geonames_12_48-numa.csv --report-format=csv --client-options="use_ssl:false,verify_certs:false,basic_auth_user:'elastic',basic_auth_password:'elastic'"
____ ____
/ __ \____ _/ / /_ __
/ /_/ / __ `/ / / / / /
/ _, _/ /_/ / / / /_/ /
/_/ |_|\__,_/_/_/\__, /
/____/
[INFO] You did not provide an explicit timeout in the client options. Assuming default of 10 seconds.
************************************************************************
************** WARNING: A dark dungeon lies ahead of you **************
************************************************************************
Rally does not have control over the configuration of the benchmarked
Elasticsearch cluster.
Be aware that results may be misleading due to problems with the setup.
Rally is also not able to gather lots of metrics at all (like CPU usage
of the benchmarked cluster) or may even produce misleading metrics (like
the index size).
************************************************************************
****** Use this pipeline only if you are aware of the tradeoffs. ******
*************************** Watch your step! ***************************
************************************************************************
[INFO] Decompressing track data from [/root/.rally/benchmarks/data/geonames/documents-2.json.bz2] to [/root/.rally/benchmarks/data/geonames/documents-2.json] (resulting size: 3.30 GB) ... [OK]
[INFO] Preparing file offset table for [/root/.rally/benchmarks/data/geonames/documents-2.json] ... [OK]
[INFO] Racing on track [geonames], challenge [append-no-conflicts] and car ['external'] with version [7.7.0].
[WARNING] merges_total_time is 165535 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] indexing_total_time is 51920 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] refresh_total_time is 210942 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] flush_total_time is 97 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
Running delete-index [100% done]
Running create-index [100% done]
Running check-cluster-health [100% done]
Running index-append [100% done]
Running refresh-after-index [100% done]
Running force-merge [100% done]
Running refresh-after-force-merge [100% done]
Running wait-until-merges-finish [100% done]
Running index-stats [100% done]
Running node-stats [100% done]
Running default [100% done]
Running term [100% done]
Running phrase [100% done]
Running country_agg_uncached [100% done]
Running country_agg_cached [100% done]
Running scroll [100% done]
Running expression [100% done]
Running painless_static [100% done]
Running painless_dynamic [100% done]
Running decay_geo_gauss_function_score [100% done]
Running decay_geo_gauss_script_score [100% done]
Running field_value_function_score [100% done]
Running field_value_script_score [100% done]
Running large_terms [100% done]
Running large_filtered_terms [100% done]
Running large_prohibited_terms [100% done]
Running desc_sort_population [100% done]
Running asc_sort_population [100% done]
Running asc_sort_with_after_population [100% done]
Running desc_sort_geonameid [100% done]
Running desc_sort_with_after_geonameid [ 0% done]
Running desc_sort_with_after_geonameid [ 0% done]
[ERROR] Cannot race. Error in load generator [0]
("Cannot execute [user-defined context-manager enabled runner for [query]]. Provided parameters are: ['index', 'type', 'cache', 'request-params', 'body']. Error: ['total'].", None)
Getting further help:
*********************
* Check the log files in /root/.rally/logs for errors.
* Read the documentation at https://esrally.readthedocs.io/en/1.4.1/
* Ask a question on the forum at https://discuss.elastic.co/c/elasticsearch/rally
* Raise an issue at https://github.com/elastic/rally/issues and include the log files in /root/.rally/logs.
----------------------------------
[INFO] FAILURE (took 5432 seconds)
----------------------------------
[root@xadocker-ops ~]# esrally --version
esrally 1.4.1
压测了这么久[INFO] FAILURE (took 5432 seconds)，到头来报错了。。。。WTF。。。。。
# 看下日志
[root@xadocker-ops ~]# less .rally/logs/rally.log
................
2021-05-23 10:38:20,964 ActorAddr-(T|:36522)/PID:34054 esrally.actor INFO Load generator [46] has exited.
2021-05-23 10:38:20,966 ActorAddr-(T|:36522)/PID:34054 esrally.actor INFO Load generator [47] has exited.
2021-05-23 10:38:23,442 -not-actor-/PID:33934 esrally.rally INFO Attempting to shutdown internal actor system.
2021-05-23 10:38:23,487 -not-actor-/PID:33997 root INFO ActorSystem Logging Shutdown
2021-05-23 10:38:23,512 -not-actor-/PID:33934 esrally.rally INFO Actor system is still running. Waiting...
2021-05-23 10:38:23,509 -not-actor-/PID:33996 root INFO ---- Actor System shutdown
2021-05-23 10:38:24,515 -not-actor-/PID:33934 esrally.rally INFO Shutdown completed.
2021-05-23 10:38:24,516 -not-actor-/PID:33934 esrally.rally ERROR Cannot run subcommand [race].
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/esrally/rally.py", line 714, in dispatch_sub_command
race(cfg)
File "/usr/local/lib/python3.6/site-packages/esrally/rally.py", line 624, in race
with_actor_system(racecontrol.run, cfg)
File "/usr/local/lib/python3.6/site-packages/esrally/rally.py", line 652, in with_actor_system
runnable(cfg)
File "/usr/local/lib/python3.6/site-packages/esrally/racecontrol.py", line 365, in run
raise e
File "/usr/local/lib/python3.6/site-packages/esrally/racecontrol.py", line 362, in run
pipeline(cfg)
File "/usr/local/lib/python3.6/site-packages/esrally/racecontrol.py", line 79, in __call__
self.target(cfg)
File "/usr/local/lib/python3.6/site-packages/esrally/racecontrol.py", line 298, in benchmark_only
return race(cfg, external=True)
File "/usr/local/lib/python3.6/site-packages/esrally/racecontrol.py", line 250, in race
raise exceptions.RallyError(result.message, result.cause)
esrally.exceptions.RallyError: ('Error in load generator [0]', '("Cannot execute [user-defined context-manager enabled runner for [query]]. Provided parameters are: [\'index\', \'type\', \'cache\', \'request-params\', \'body\']. Error: [\'total\'].", None)')
重装升级esrally 2.1.0
各种搜索倒腾一顿，看到有人和博主一样的情况，说需要升级esrally，博主目前是1.4.1，那就升级再试试
# 卸载esrally
[root@xadocker-ops src]# pip3 uninstall esrally
# 下载2.1.0版本
[root@xadocker-ops src]# wget https://github.com/elastic/rally/releases/download/2.1.0/esrally-dist-linux-2.1.0.tar.gz
[root@xadocker-ops src]# tar -zvxf esrally-dist-linux-2.1.0.tar.gz
[root@xadocker-ops src]# cd esrally-dist-2.1.0/
# 开始安装esrally
[root@xadocker-ops esrally-dist-2.1.0]# bash install.sh
Installing Rally 2.1.0...
WARNING: Running pip install with root privileges is generally not a good idea. Try `pip3 install --user` instead.
Collecting esrally==2.1.0
esrally requires Python '>=3.8,<3.10' but the running Python is 3.6.8裂开，python版本不适配……..又得装个python3.8 (⊙﹏⊙)
python3.8安装
# 查看当前版本
[root@xadocker-ops esrally-dist-2.1.0]# python3 --version
Python 3.6.8
# 下载python3.8
[root@xadocker-ops src]# curl -O https://www.python.org/ftp/python/3.8.0/Python-3.8.0.tgz
[root@xadocker-ops src]# tar xf Python-3.8.0.tgz
[root@xadocker-ops src]# cd Python-3.8.0
[root@xadocker-ops Python-3.8.0]# ./configure
[root@xadocker-ops Python-3.8.0]# make
[root@xadocker-ops Python-3.8.0]# make install
# 配置全局命令
[root@xadocker-ops Python-3.8.0]# rm /usr/bin/python3
[root@xadocker-ops Python-3.8.0]# ln -s /usr/local/bin/python3.8 /usr/bin/python3
[root@xadocker-ops Python-3.8.0]# python3 --version
Python 3.8.0重新安装esrally
# 重新安装esrally
[root@xadocker-ops esrally-dist-2.1.0]# bash install
# 发现提示报错
[root@xadocker-ops esrally-dist-2.1.0]# esrally --version
Traceback (most recent call last):
File "/usr/local/bin/esrally", line 5, in <module>
from esrally.rally import main
File "/usr/local/lib/python3.8/site-packages/esrally/rally.py", line 29, in <module>
from esrally import PROGRAM_NAME, BANNER, FORUM_LINK, SKULL, check_python_version, doc_link, telemetry
File "/usr/local/lib/python3.8/site-packages/esrally/telemetry.py", line 26, in <module>
from esrally import metrics, time, exceptions
File "/usr/local/lib/python3.8/site-packages/esrally/metrics.py", line 35, in <module>
from esrally import client, time, exceptions, config, version, paths
File "/usr/local/lib/python3.8/site-packages/esrally/config.py", line 26, in <module>
from esrally.utils import io
File "/usr/local/lib/python3.8/site-packages/esrally/utils/io.py", line 18, in <module>
import bz2
File "/usr/local/lib/python3.8/bz2.py", line 19, in <module>
from _bz2 import BZ2Compressor, BZ2Decompressor
ModuleNotFoundError: No module named '_bz2'
# 将3.6中_bz2得so文件复制过去
[root@xadocker-ops esrally-dist-2.1.0]# find / -name _bz2*
/usr/lib64/python3.6/lib-dynload/_bz2.cpython-36m-x86_64-linux-gnu.so
/usr/local/src/Python-3.8.0/Modules/clinic/_bz2module.c.h
/usr/local/src/Python-3.8.0/Modules/_bz2module.c
/usr/local/src/Python-3.8.0/PCbuild/_bz2.vcxproj.filters
/usr/local/src/Python-3.8.0/PCbuild/_bz2.vcxproj
[root@xadocker-ops esrally-dist-2.1.0]# cp /usr/lib64/python3.6/lib-dynload/_bz2.cpython-36m-x86_64-linux-gnu.so /usr/local/lib/python3.8/lib-dynload/_bz2.cpython-38-x86_64-linux-gnu.so
# 这次再运行查看版本
[root@xadocker-ops esrally-dist-2.1.0]# esrally --version
esrally 2.1.0
重新启动任务
# 此时命令需要增加race参数。。。。
[root@xadocker-ops ~]# esrally race --pipeline=benchmark-only --target-hosts=192.168.44.142:9200,192.168.44.143:9200,192.168.44.144:9200 --track=geonames --offline --track-params="number_of_shards:12,bulk_indexing_clients:48" --report-file=/opt/report_geonames_12_48-numa.csv --report-format=csv --client-options="use_ssl:false,verify_certs:false,basic_auth_user:'elastic',basic_auth_password:'elastic'"
____ ____
/ __ \____ _/ / /_ __
/ /_/ / __ `/ / / / / /
/ _, _/ /_/ / / / /_/ /
/_/ |_|\__,_/_/_/\__, /
/____/
[INFO] You did not provide an explicit timeout in the client options. Assuming default of 10 seconds.
[INFO] Racing on track [geonames], challenge [append-no-conflicts] and car ['external'] with version [7.7.0].
[WARNING] merges_total_time is 1346010 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] merges_total_throttled_time is 40902 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] indexing_total_time is 4366271 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] refresh_total_time is 1135023 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] flush_total_time is 376 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
Running delete-index [100% done]
Running create-index [100% done]
Running check-cluster-health [100% done]
Running index-append [100% done]
Running refresh-after-index [100% done]
Running force-merge [100% done]
Running refresh-after-force-merge [100% done]
Running wait-until-merges-finish [100% done]
Running index-stats [100% done]
Running node-stats [100% done]
Running default [100% done]
Running term [100% done]
Running phrase [100% done]
Running country_agg_uncached [100% done]
Running country_agg_cached [100% done]
Running scroll [100% done]
Running expression [100% done]
Running painless_static [100% done]
Running painless_dynamic [100% done]
Running decay_geo_gauss_function_score [100% done]
Running decay_geo_gauss_script_score [100% done]
Running field_value_function_score [100% done]
Running field_value_script_score [100% done]
Running large_terms [100% done]
Running large_filtered_terms [100% done]
Running large_prohibited_terms [100% done]
Running desc_sort_population [100% done]
Running asc_sort_population [100% done]
Running asc_sort_with_after_population [100% done]
Running desc_sort_geonameid [100% done]
Running desc_sort_with_after_geonameid [100% done]
Running asc_sort_geonameid [100% done]
Running asc_sort_with_after_geonameid [100% done]
------------------------------------------------------
_______ __ _____
/ ____(_)___ ____ _/ / / ___/_________ ________
/ /_ / / __ \/ __ `/ / \__ \/ ___/ __ \/ ___/ _ \
/ __/ / / / / / /_/ / / ___/ / /__/ /_/ / / / __/
/_/ /_/_/ /_/\__,_/_/ /____/\___/\____/_/ \___/
------------------------------------------------------
Metric,Task,Value,Unit
Cumulative indexing time of primary shards,,65.67473333333334,min
Min cumulative indexing time across primary shards,,0,min
Median cumulative indexing time across primary shards,,0,min
Max cumulative indexing time across primary shards,,5.472183333333334,min
Cumulative indexing throttle time of primary shards,,0,min
Min cumulative indexing throttle time across primary shards,,0,min
Median cumulative indexing throttle time across primary shards,,0,min
Max cumulative indexing throttle time across primary shards,,0,min
Cumulative merge time of primary shards,,24.69111666666667,min
Cumulative merge count of primary shards,,3358,
Min cumulative merge time across primary shards,,0,min
Median cumulative merge time across primary shards,,0,min
Max cumulative merge time across primary shards,,6.1644,min
Cumulative merge throttle time of primary shards,,0.6805166666666668,min
Min cumulative merge throttle time across primary shards,,0,min
Median cumulative merge throttle time across primary shards,,0,min
Max cumulative merge throttle time across primary shards,,0.07588333333333333,min
Cumulative refresh time of primary shards,,19.802033333333334,min
Cumulative refresh count of primary shards,,30739,
Min cumulative refresh time across primary shards,,0,min
Median cumulative refresh time across primary shards,,0,min
Max cumulative refresh time across primary shards,,6.705916666666667,min
Cumulative flush time of primary shards,,0.006683333333333334,min
Cumulative flush count of primary shards,,50,
Min cumulative flush time across primary shards,,0,min
Median cumulative flush time across primary shards,,0,min
Max cumulative flush time across primary shards,,0.004033333333333333,min
Total Young Gen GC time,,129.937,s
Total Young Gen GC count,,5688,
Total Old Gen GC time,,0,s
Total Old Gen GC count,,0,
Store size,,3.9033648185431957,GB
Translog size,,0.6339720329269767,GB
Heap used for segments,,3.8175811767578125,MB
Heap used for doc values,,1.38006591796875,MB
Heap used for terms,,2.0367050170898438,MB
Heap used for norms,,0.1849365234375,MB
Heap used for points,,0,MB
Heap used for stored fields,,0.2153778076171875,MB
Segment count,,418,
Min Throughput,index-append,23329.69,docs/s
Mean Throughput,index-append,25804.95,docs/s
Median Throughput,index-append,24885.72,docs/s
Max Throughput,index-append,31651.68,docs/s
50th percentile latency,index-append,8824.397160498847,ms
90th percentile latency,index-append,10936.730588200226,ms
99th percentile latency,index-append,11016.697236748114,ms
99.9th percentile latency,index-append,11112.023213973569,ms
100th percentile latency,index-append,11127.023236997047,ms
50th percentile service time,index-append,8824.397160498847,ms
90th percentile service time,index-append,10936.730588200226,ms
99th percentile service time,index-append,11016.697236748114,ms
99.9th percentile service time,index-append,11112.023213973569,ms
100th percentile service time,index-append,11127.023236997047,ms
error rate,index-append,31.79,%
.......略
.......略
Min Throughput,asc_sort_with_after_geonameid,6.00,ops/s
Mean Throughput,asc_sort_with_after_geonameid,6.00,ops/s
Median Throughput,asc_sort_with_after_geonameid,6.00,ops/s
Max Throughput,asc_sort_with_after_geonameid,6.00,ops/s
50th percentile latency,asc_sort_with_after_geonameid,99.5707106685586,ms
90th percentile latency,asc_sort_with_after_geonameid,121.04647886772001,ms
99th percentile latency,asc_sort_with_after_geonameid,141.56162968269206,ms
100th percentile latency,asc_sort_with_after_geonameid,154.7787910021725,ms
50th percentile service time,asc_sort_with_after_geonameid,97.55707250224077,ms
90th percentile service time,asc_sort_with_after_geonameid,119.59396220008784,ms
99th percentile service time,asc_sort_with_after_geonameid,139.93451524129347,ms
100th percentile service time,asc_sort_with_after_geonameid,152.60436100288644,ms
error rate,asc_sort_with_after_geonameid,0.00,%
[WARNING] Error rate is 31.79 for operation 'index-append'. Please check the logs.
----------------------------------
[INFO] SUCCESS (took 5478 seconds)
----------------------------------总算是完成了一次基准测试，测试报告保存在/opt/report_geonames_12_48-numa.csv
[root@xadocker-ops ~]# cat /opt/report_geonames_12_48-numa.csv | column -s, -t
Metric Task Value Unit
Cumulative indexing time of primary shards 65.67473333333334 min
Min cumulative indexing time across primary shards 0 min
Median cumulative indexing time across primary shards 0 min
Max cumulative indexing time across primary shards 5.472183333333334 min
Cumulative indexing throttle time of primary shards 0 min
Min cumulative indexing throttle time across primary shards 0 min
Median cumulative indexing throttle time across primary shards 0 min
Max cumulative indexing throttle time across primary shards 0 min
Cumulative merge time of primary shards 24.69111666666667 min
Cumulative merge count of primary shards 3358
Min cumulative merge time across primary shards 0 min
Median cumulative merge time across primary shards 0 min
Max cumulative merge time across primary shards 6.1644 min
Cumulative merge throttle time of primary shards 0.6805166666666668 min
Min cumulative merge throttle time across primary shards 0 min
Median cumulative merge throttle time across primary shards 0 min
Max cumulative merge throttle time across primary shards 0.07588333333333333 min
Cumulative refresh time of primary shards 19.802033333333334 min
Cumulative refresh count of primary shards 30739
Min cumulative refresh time across primary shards 0 min
Median cumulative refresh time across primary shards 0 min
Max cumulative refresh time across primary shards 6.705916666666667 min
Cumulative flush time of primary shards 0.006683333333333334 min
Cumulative flush count of primary shards 50
Min cumulative flush time across primary shards 0 min
Median cumulative flush time across primary shards 0 min
Max cumulative flush time across primary shards 0.004033333333333333 min
Total Young Gen GC time 129.937 s
Total Young Gen GC count 5688
Total Old Gen GC time 0 s
Total Old Gen GC count 0
Store size 3.9033648185431957 GB
Translog size 0.6339720329269767 GB
Heap used for segments 3.8175811767578125 MB
Heap used for doc values 1.38006591796875 MB
Heap used for terms 2.0367050170898438 MB
Heap used for norms 0.1849365234375 MB
Heap used for points 0 MB
Heap used for stored fields 0.2153778076171875 MB
Segment count 418
Min Throughput index-append 23329.69 docs/s
Mean Throughput index-append 25804.95 docs/s
Median Throughput index-append 24885.72 docs/s
Max Throughput index-append 31651.68 docs/s
50th percentile latency index-append 8824.397160498847 ms
90th percentile latency index-append 10936.730588200226 ms
99th percentile latency index-append 11016.697236748114 ms
99.9th percentile latency index-append 11112.023213973569 ms
100th percentile latency index-append 11127.023236997047 ms
50th percentile service time index-append 8824.397160498847 ms
90th percentile service time index-append 10936.730588200226 ms
99th percentile service time index-append 11016.697236748114 ms
99.9th percentile service time index-append 11112.023213973569 ms
100th percentile service time index-append 11127.023236997047 ms
error rate index-append 31.79 %
Min Throughput index-stats 51.64 ops/s
Mean Throughput index-stats 51.98 ops/s
Median Throughput index-stats 51.95 ops/s
Max Throughput index-stats 52.30 ops/s
50th percentile latency index-stats 8119.630480945489 ms
90th percentile latency index-stats 11268.042406444874 ms
99th percentile latency index-stats 11922.72452500707 ms
99.9th percentile latency index-stats 12003.88524248844 ms
100th percentile latency index-stats 12016.73431344534 ms
50th percentile service time index-stats 13.888085000871797 ms
90th percentile service time index-stats 17.387768299522577 ms
99th percentile service time index-stats 25.669255671746207 ms
99.9th percentile service time index-stats 40.412665497057915 ms
100th percentile service time index-stats 51.923640003224136 ms
error rate index-stats 0.00 %
Min Throughput node-stats 67.67 ops/s
Mean Throughput node-stats 70.29 ops/s
Median Throughput node-stats 70.43 ops/s
Max Throughput node-stats 71.28 ops/s
50th percentile latency node-stats 1896.4891283867473 ms
90th percentile latency node-stats 2907.6163140896824 ms
99th percentile latency node-stats 3235.324163870464 ms
99.9th percentile latency node-stats 3261.4813837000625 ms
100th percentile latency node-stats 3264.612950886658 ms
50th percentile service time node-stats 11.73848900180019 ms
90th percentile service time node-stats 15.339287100505317 ms
99th percentile service time node-stats 24.508170158442226 ms
99.9th percentile service time node-stats 41.8112815450878 ms
100th percentile service time node-stats 42.9636720000417 ms
error rate node-stats 0.00 %
Min Throughput default 49.92 ops/s
Mean Throughput default 49.96 ops/s
Median Throughput default 49.96 ops/s
Max Throughput default 49.97 ops/s
50th percentile latency default 8.693649500855827 ms
90th percentile latency default 10.471900098127662 ms
99th percentile latency default 22.63085501970635 ms
99.9th percentile latency default 29.39348465295998 ms
100th percentile latency default 38.49302799790166 ms
50th percentile service time default 6.906969500050764 ms
90th percentile service time default 8.383598901127698 ms
99th percentile service time default 20.160061577917073 ms
99.9th percentile service time default 27.310123379193108 ms
100th percentile service time default 27.405408000049647 ms
error rate default 0.00 %
Min Throughput term 96.33 ops/s
Mean Throughput term 97.67 ops/s
Median Throughput term 97.79 ops/s
Max Throughput term 98.53 ops/s
50th percentile latency term 9.150832001978415 ms
90th percentile latency term 31.952651201208944 ms
99th percentile latency term 69.57335357208648 ms
99.9th percentile latency term 76.11437031731849 ms
100th percentile latency term 77.22257600107696 ms
50th percentile service time term 7.493095999961952 ms
90th percentile service time term 9.557222497824114 ms
99th percentile service time term 20.769197689915003 ms
99.9th percentile service time term 28.13448215177799 ms
100th percentile service time term 30.541222000465496 ms
error rate term 0.00 %
Min Throughput phrase 84.78 ops/s
Mean Throughput phrase 94.44 ops/s
Median Throughput phrase 95.62 ops/s
Max Throughput phrase 101.56 ops/s
50th percentile latency phrase 562.355554637179 ms
90th percentile latency phrase 725.2217268269305 ms
99th percentile latency phrase 764.3709678117375 ms
99.9th percentile latency phrase 765.9098679590061 ms
100th percentile latency phrase 766.2070746373502 ms
50th percentile service time phrase 7.714969500739244 ms
90th percentile service time phrase 9.052595297907828 ms
99th percentile service time phrase 24.286345689761216 ms
99.9th percentile service time phrase 36.21428003259765 ms
100th percentile service time phrase 49.66784600037499 ms
error rate phrase 0.00 %
Min Throughput country_agg_uncached 2.98 ops/s
Mean Throughput country_agg_uncached 2.98 ops/s
Median Throughput country_agg_uncached 2.98 ops/s
Max Throughput country_agg_uncached 2.98 ops/s
50th percentile latency country_agg_uncached 247.00697749904066 ms
90th percentile latency country_agg_uncached 288.36134266712185 ms
99th percentile latency country_agg_uncached 371.24453484437254 ms
100th percentile latency country_agg_uncached 373.21098933171015 ms
50th percentile service time country_agg_uncached 245.57561700021324 ms
90th percentile service time country_agg_uncached 287.0586966997508 ms
99th percentile service time country_agg_uncached 350.4260227587657 ms
100th percentile service time country_agg_uncached 368.26678899888066 ms
error rate country_agg_uncached 0.00 %
Min Throughput country_agg_cached 97.87 ops/s
Mean Throughput country_agg_cached 98.43 ops/s
Median Throughput country_agg_cached 98.48 ops/s
Max Throughput country_agg_cached 98.83 ops/s
50th percentile latency country_agg_cached 7.264185500389431 ms
90th percentile latency country_agg_cached 8.44947759869683 ms
99th percentile latency country_agg_cached 26.844126720534398 ms
99.9th percentile latency country_agg_cached 34.11992022424633 ms
100th percentile latency country_agg_cached 37.55270900364849 ms
50th percentile service time country_agg_cached 5.6492224994144635 ms
90th percentile service time country_agg_cached 6.342230099835433 ms
99th percentile service time country_agg_cached 11.507916969239885 ms
99.9th percentile service time country_agg_cached 26.676067879874815 ms
100th percentile service time country_agg_cached 28.978642003494315 ms
error rate country_agg_cached 0.00 %
Min Throughput scroll 20.03 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 latency scroll 723.1294914981845 ms
90th percentile latency scroll 791.0979763004434 ms
99th percentile latency scroll 847.6041099296709 ms
100th percentile latency scroll 862.4218289987766 ms
50th percentile service time scroll 719.3174054991687 ms
90th percentile service time scroll 788.5873474020627 ms
99th percentile service time scroll 843.2485352886216 ms
100th percentile service time scroll 859.6002949998365 ms
error rate scroll 0.00 %
Min Throughput expression 1.50 ops/s
Mean Throughput expression 1.50 ops/s
Median Throughput expression 1.50 ops/s
Max Throughput expression 1.50 ops/s
50th percentile latency expression 403.2331926646293 ms
90th percentile latency expression 450.186454867071 ms
99th percentile latency expression 476.9599525210652 ms
100th percentile latency expression 487.8550860012183 ms
50th percentile service time expression 401.31810949969804 ms
90th percentile service time expression 448.4684163995553 ms
99th percentile service time expression 475.0125131505411 ms
100th percentile service time expression 485.60978500245255 ms
error rate expression 0.00 %
Min Throughput painless_static 1.40 ops/s
Mean Throughput painless_static 1.40 ops/s
Median Throughput painless_static 1.40 ops/s
Max Throughput painless_static 1.40 ops/s
50th percentile latency painless_static 568.4848865712411 ms
90th percentile latency painless_static 635.6110266686301 ms
99th percentile latency painless_static 689.6851682569468 ms
100th percentile latency painless_static 700.1978341395443 ms
50th percentile service time painless_static 567.0355135007412 ms
90th percentile service time painless_static 633.7533814970811 ms
99th percentile service time painless_static 686.6532945303697 ms
100th percentile service time painless_static 697.5820560001011 ms
error rate painless_static 0.00 %
Min Throughput painless_dynamic 1.40 ops/s
Mean Throughput painless_dynamic 1.40 ops/s
Median Throughput painless_dynamic 1.40 ops/s
Max Throughput painless_dynamic 1.40 ops/s
50th percentile latency painless_dynamic 586.4792128577392 ms
90th percentile latency painless_dynamic 651.773850025711 ms
99th percentile latency painless_dynamic 697.918310748537 ms
100th percentile latency painless_dynamic 717.6288322843902 ms
50th percentile service time painless_dynamic 584.8301499991067 ms
90th percentile service time painless_dynamic 649.9907953992079 ms
99th percentile service time painless_dynamic 696.1949894809369 ms
100th percentile service time painless_dynamic 716.6582379977626 ms
error rate painless_dynamic 0.00 %
Min Throughput decay_geo_gauss_function_score 1.00 ops/s
Mean Throughput decay_geo_gauss_function_score 1.00 ops/s
Median Throughput decay_geo_gauss_function_score 1.00 ops/s
Max Throughput decay_geo_gauss_function_score 1.00 ops/s
50th percentile latency decay_geo_gauss_function_score 371.5914349995728 ms
90th percentile latency decay_geo_gauss_function_score 426.9467500009341 ms
99th percentile latency decay_geo_gauss_function_score 466.7460041506278 ms
100th percentile latency decay_geo_gauss_function_score 548.2443040018552 ms
50th percentile service time decay_geo_gauss_function_score 369.4455034983548 ms
90th percentile service time decay_geo_gauss_function_score 424.7846284008119 ms
99th percentile service time decay_geo_gauss_function_score 464.6911639790782 ms
100th percentile service time decay_geo_gauss_function_score 546.4495200030797 ms
error rate decay_geo_gauss_function_score 0.00 %
Min Throughput decay_geo_gauss_script_score 1.00 ops/s
Mean Throughput decay_geo_gauss_script_score 1.00 ops/s
Median Throughput decay_geo_gauss_script_score 1.00 ops/s
Max Throughput decay_geo_gauss_script_score 1.00 ops/s
50th percentile latency decay_geo_gauss_script_score 384.7828895013663 ms
90th percentile latency decay_geo_gauss_script_score 461.7134587017063 ms
99th percentile latency decay_geo_gauss_script_score 518.7828375408209 ms
100th percentile latency decay_geo_gauss_script_score 547.5137800021912 ms
50th percentile service time decay_geo_gauss_script_score 381.8702155003848 ms
90th percentile service time decay_geo_gauss_script_score 459.3520274018374 ms
99th percentile service time decay_geo_gauss_script_score 516.3498705509847 ms
100th percentile service time decay_geo_gauss_script_score 546.2999990013486 ms
error rate decay_geo_gauss_script_score 0.00 %
Min Throughput field_value_function_score 1.50 ops/s
Mean Throughput field_value_function_score 1.50 ops/s
Median Throughput field_value_function_score 1.50 ops/s
Max Throughput field_value_function_score 1.50 ops/s
50th percentile latency field_value_function_score 190.58109866637096 ms
90th percentile latency field_value_function_score 223.58442940021632 ms
99th percentile latency field_value_function_score 242.61623200931362 ms
100th percentile latency field_value_function_score 261.0103010010789 ms
50th percentile service time field_value_function_score 188.02209099885658 ms
90th percentile service time field_value_function_score 221.06132860135403 ms
99th percentile service time field_value_function_score 239.72236112178518 ms
100th percentile service time field_value_function_score 259.25279600051 ms
error rate field_value_function_score 0.00 %
Min Throughput field_value_script_score 1.50 ops/s
Mean Throughput field_value_script_score 1.50 ops/s
Median Throughput field_value_script_score 1.50 ops/s
Max Throughput field_value_script_score 1.50 ops/s
50th percentile latency field_value_script_score 246.77608116871852 ms
90th percentile latency field_value_script_score 277.589898601218 ms
99th percentile latency field_value_script_score 310.2155733644031 ms
100th percentile latency field_value_script_score 312.5557713356102 ms
50th percentile service time field_value_script_score 243.99559199991927 ms
90th percentile service time field_value_script_score 275.83668140105146 ms
99th percentile service time field_value_script_score 306.8562154189203 ms
100th percentile service time field_value_script_score 310.9821810030553 ms
error rate field_value_script_score 0.00 %
Min Throughput large_terms 0.48 ops/s
Mean Throughput large_terms 0.48 ops/s
Median Throughput large_terms 0.48 ops/s
Max Throughput large_terms 0.48 ops/s
50th percentile latency large_terms 293698.60531531775 ms
90th percentile latency large_terms 340444.0255067195 ms
99th percentile latency large_terms 351018.6534712963 ms
100th percentile latency large_terms 352343.5643718185 ms
50th percentile service time large_terms 2071.654604000287 ms
90th percentile service time large_terms 2241.023000801215 ms
99th percentile service time large_terms 2308.2444365706397 ms
100th percentile service time large_terms 2317.988568000146 ms
error rate large_terms 0.00 %
Min Throughput large_filtered_terms 0.48 ops/s
Mean Throughput large_filtered_terms 0.48 ops/s
Median Throughput large_filtered_terms 0.48 ops/s
Max Throughput large_filtered_terms 0.48 ops/s
50th percentile latency large_filtered_terms 298302.2755608163 ms
90th percentile latency large_filtered_terms 344398.54585601826 ms
99th percentile latency large_filtered_terms 354639.35707053595 ms
100th percentile latency large_filtered_terms 355792.9050338207 ms
50th percentile service time large_filtered_terms 2044.9109710007178 ms
90th percentile service time large_filtered_terms 2223.637399700965 ms
99th percentile service time large_filtered_terms 2369.9893609794162 ms
100th percentile service time large_filtered_terms 2375.6661180013907 ms
error rate large_filtered_terms 0.00 %
Min Throughput large_prohibited_terms 0.49 ops/s
Mean Throughput large_prohibited_terms 0.49 ops/s
Median Throughput large_prohibited_terms 0.49 ops/s
Max Throughput large_prohibited_terms 0.49 ops/s
50th percentile latency large_prohibited_terms 280945.0527748195 ms
90th percentile latency large_prohibited_terms 325766.97128072043 ms
99th percentile latency large_prohibited_terms 335946.6265760097 ms
100th percentile latency large_prohibited_terms 337084.62465582124 ms
50th percentile service time large_prohibited_terms 2007.2327594989474 ms
90th percentile service time large_prohibited_terms 2192.5333657996816 ms
99th percentile service time large_prohibited_terms 2305.671969369432 ms
100th percentile service time large_prohibited_terms 2334.2457819999254 ms
error rate large_prohibited_terms 0.00 %
Min Throughput desc_sort_population 1.50 ops/s
Mean Throughput desc_sort_population 1.50 ops/s
Median Throughput desc_sort_population 1.50 ops/s
Max Throughput desc_sort_population 1.51 ops/s
50th percentile latency desc_sort_population 115.22678083201754 ms
90th percentile latency desc_sort_population 124.77066429855769 ms
99th percentile latency desc_sort_population 135.28018111144777 ms
100th percentile latency desc_sort_population 139.50818532975973 ms
50th percentile service time desc_sort_population 112.32860950076429 ms
90th percentile service time desc_sort_population 122.03494700006559 ms
99th percentile service time desc_sort_population 133.19007192880238 ms
100th percentile service time desc_sort_population 136.7150589976518 ms
error rate desc_sort_population 0.00 %
Min Throughput asc_sort_population 1.50 ops/s
Mean Throughput asc_sort_population 1.50 ops/s
Median Throughput asc_sort_population 1.50 ops/s
Max Throughput asc_sort_population 1.51 ops/s
50th percentile latency asc_sort_population 111.2816955010203 ms
90th percentile latency asc_sort_population 122.11144456414331 ms
99th percentile latency asc_sort_population 140.06807151919975 ms
100th percentile latency asc_sort_population 227.82505600116565 ms
50th percentile service time asc_sort_population 108.1928194998909 ms
90th percentile service time asc_sort_population 118.76418670108251 ms
99th percentile service time asc_sort_population 136.39120852007227 ms
100th percentile service time asc_sort_population 226.40641600082745 ms
error rate asc_sort_population 0.00 %
Min Throughput asc_sort_with_after_population 1.50 ops/s
Mean Throughput asc_sort_with_after_population 1.50 ops/s
Median Throughput asc_sort_with_after_population 1.50 ops/s
Max Throughput asc_sort_with_after_population 1.51 ops/s
50th percentile latency asc_sort_with_after_population 142.52896366997447 ms
90th percentile latency asc_sort_with_after_population 149.4044153703726 ms
99th percentile latency asc_sort_with_after_population 175.31646928659032 ms
100th percentile latency asc_sort_with_after_population 181.8510586708726 ms
50th percentile service time asc_sort_with_after_population 140.17109050109866 ms
90th percentile service time asc_sort_with_after_population 146.32139339955756 ms
99th percentile service time asc_sort_with_after_population 171.2104341201121 ms
100th percentile service time asc_sort_with_after_population 179.5388210011879 ms
error rate asc_sort_with_after_population 0.00 %
Min Throughput desc_sort_geonameid 5.97 ops/s
Mean Throughput desc_sort_geonameid 5.98 ops/s
Median Throughput desc_sort_geonameid 5.98 ops/s
Max Throughput desc_sort_geonameid 5.98 ops/s
50th percentile latency desc_sort_geonameid 22.907928669155808 ms
90th percentile latency desc_sort_geonameid 42.547952068343875 ms
99th percentile latency desc_sort_geonameid 49.45132562235813 ms
100th percentile latency desc_sort_geonameid 50.128777998907026 ms
50th percentile service time desc_sort_geonameid 19.92399250048038 ms
90th percentile service time desc_sort_geonameid 39.5283311012463 ms
99th percentile service time desc_sort_geonameid 46.771579750093224 ms
100th percentile service time desc_sort_geonameid 47.03598400010378 ms
error rate desc_sort_geonameid 0.00 %
Min Throughput desc_sort_with_after_geonameid 6.00 ops/s
Mean Throughput desc_sort_with_after_geonameid 6.00 ops/s
Median Throughput desc_sort_with_after_geonameid 6.00 ops/s
Max Throughput desc_sort_with_after_geonameid 6.00 ops/s
50th percentile latency desc_sort_with_after_geonameid 109.40426650267909 ms
90th percentile latency desc_sort_with_after_geonameid 125.0083690349129 ms
99th percentile latency desc_sort_with_after_geonameid 144.86911328131103 ms
100th percentile latency desc_sort_with_after_geonameid 150.7230110000819 ms
50th percentile service time desc_sort_with_after_geonameid 107.60115250013769 ms
90th percentile service time desc_sort_with_after_geonameid 123.94994659953227 ms
99th percentile service time desc_sort_with_after_geonameid 143.82823646014006 ms
100th percentile service time desc_sort_with_after_geonameid 149.3127829999139 ms
error rate desc_sort_with_after_geonameid 0.00 %
Min Throughput asc_sort_geonameid 6.01 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 6.02 ops/s
50th percentile latency asc_sort_geonameid 22.499099834021763 ms
90th percentile latency asc_sort_geonameid 38.10338040020725 ms
99th percentile latency asc_sort_geonameid 49.86291849640112 ms
100th percentile latency asc_sort_geonameid 52.48131966800429 ms
50th percentile service time asc_sort_geonameid 20.529934499791125 ms
90th percentile service time asc_sort_geonameid 36.009044999445905 ms
99th percentile service time asc_sort_geonameid 47.133066319656805 ms
100th percentile service time asc_sort_geonameid 49.78392200064263 ms
error rate asc_sort_geonameid 0.00 %
Min Throughput asc_sort_with_after_geonameid 6.00 ops/s
Mean Throughput asc_sort_with_after_geonameid 6.00 ops/s
Median Throughput asc_sort_with_after_geonameid 6.00 ops/s
Max Throughput asc_sort_with_after_geonameid 6.00 ops/s
50th percentile latency asc_sort_with_after_geonameid 99.5707106685586 ms
90th percentile latency asc_sort_with_after_geonameid 121.04647886772001 ms
99th percentile latency asc_sort_with_after_geonameid 141.56162968269206 ms
100th percentile latency asc_sort_with_after_geonameid 154.7787910021725 ms
50th percentile service time asc_sort_with_after_geonameid 97.55707250224077 ms
90th percentile service time asc_sort_with_after_geonameid 119.59396220008784 ms
99th percentile service time asc_sort_with_after_geonameid 139.93451524129347 ms
100th percentile service time asc_sort_with_after_geonameid 152.60436100288644 ms
error rate asc_sort_with_after_geonameid 0.00 %
指标解析
| 压测指标 | 压测任务 | 指标含义 | 评判标准 |
|---|---|---|---|
| Cumulative indexing time of primary shards | – | 主分片累计索引时间 | 越小越好 |
| Min cumulative indexing time across primary shard | – | 跨分片累计索引最小时间 | 越小越好 |
| Median cumulative indexing time across primary shard | – | 跨分片累计索引中位时间 | 越小越好 |
| Max cumulative indexing time across primary shard | – | 跨分片累计索引最大时间 | 越小越好 |
| Cumulative indexing throttle time of primary shards | – | 主分片累计节流索引时间 | 越小越好 |
| Min cumulative indexing throttle time across primary shard | – | 跨分片累计节流最小索引时间 | 越小越好 |
| Median cumulative indexing throttle time across primary shard | – | 跨分片累计节流中位索引时间 | 越小越好 |
| Max cumulative indexing throttle time across primary shard | – | 跨分片累计节流最大索引时间 | 越小越好 |
| Cumulative merge time of primary shards | – | 主分片累积合并时间 | 越小越好 |
| Cumulative merge count of primary shards | – | 主分片累积合并次数 | 越小越好 |
| Min cumulative merge time across primary shard | – | 跨主分片累积最小合并时间 | 越小越好 |
| Median cumulative merge time across primary shard | – | 跨主分片累积中位合并时间 | 越小越好 |
| Max cumulative merge time across primary shard | – | 跨主分片累积最大合并时间 | 越小越好 |
| Cumulative merge throttle time of primary shards | – | 主分片累计节流合并时间 | 越小越好 |
| Min cumulative merge throttle time across primary shard | – | 主分片累计节流最小合并时间 | 越小越好 |
| Median cumulative merge throttle time across primary shard | – | 主分片累计节流中位合并时间 | 越小越好 |
| Max cumulative merge throttle time across primary shard | – | 主分片累计节流最大合并时间 | 越小越好 |
| Cumulative refresh time of primary shards | – | 主分片累积refresh时间 | 越小越好 |
| Cumulative refresh count of primary shards | – | 主分片累积refresh次数 | 越小越好 |
| Min cumulative refresh time across primary shard | – | 主分片累积最小refresh时间 | 越小越好 |
| Median cumulative refresh time across primary shard | – | 主分片累积中位refresh时间 | 越小越好 |
| Max cumulative refresh time across primary shard | – | 主分片累积最大refresh时间 | 越小越好 |
| Cumulative flush time of primary shards | – | 主分片累积flush时间 | 越小越好 |
| Cumulative flush count of primary shards | – | 主分片累积flush次数 | 越小越好 |
| Min cumulative flush time across primary shard | – | 主分片累积最小flush时间 | 越小越好 |
| Median cumulative flush time across primary shard | – | 主分片累积中位flush时间 | 越小越好 |
| Max cumulative flush time across primary shard | – | 主分片累积最大flush时间 | 越小越好 |
| Total Young Gen GC time | – | Young GC总时间 | 越小越好 |
| Total Young Gen GC count | – | Young GC总次数 | 越小越好 |
| Total Old Gen GC time | – | Old GC总时间 | 越小越好 |
| Total Old Gen GC count | – | Old GC总次数 | 越小越好 |
| Store size | – | 存储大小 | 越小越好 |
| Translog size | – | Translog大小 | 越小越好 |
| Heap used for segments | – | segments使用的堆内内存 | 越小越好 |
| Heap used for doc values | – | doc values使用的堆内内存 | 越小越好 |
| Heap used for terms | – | terms使用的堆内内存 | 越小越好 |
| Heap used for norms | – | norms使用的堆内内存 | 越小越好 |
| Heap used for points | – | points使用的堆内内存 | 越小越好 |
| Heap used for stored fields | – | stored fields使用的堆内内存 | 越小越好 |
| Segment count | – | Segment数量 | 越小越好 |
| Min Throughput | index-append | 最小吞吐率 | 越大越好 |
| Mean Throughput | index-append | 平均吞吐率 | 越大越好 |
| Median Throughput | index-append | 中位吞吐率 | 越大越好 |
| Max Throughput | index-append | 最大吞吐率 | 越大越好 |
| 50th percentile latency | index-append | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | index-append | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | index-append | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99.9th percentile latency | index-append | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | index-append | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | index-append | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | index-append | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | index-append | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99.9th percentile service time | index-append | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | index-append | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | index-append | 错误率 | 越小越好 |
| Min Throughput | index-stats | 最小吞吐率 | 越大越好 |
| Mean Throughput | index-stats | 平均吞吐率 | 越大越好 |
| Median Throughput | index-stats | 中位吞吐率 | 越大越好 |
| Max Throughput | index-stats | 最大吞吐率 | 越大越好 |
| 50th percentile latency | index-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | index-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | index-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99.9th percentile latency | index-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | index-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | index-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | index-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | index-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99.9th percentile service time | index-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | index-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | index-stats | 错误率 | 越小越好 |
| Min Throughput | node-stats | 最小吞吐率 | 越大越好 |
| Mean Throughput | node-stats | 平均吞吐率 | 越大越好 |
| Median Throughput | node-stats | 中位吞吐率 | 越大越好 |
| Max Throughput | node-stats | 最大吞吐率 | 越大越好 |
| 50th percentile latency | node-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | node-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | node-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99.9th percentile latency | node-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | node-stats | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | node-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | node-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | node-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99.9th percentile service time | node-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | node-stats | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | node-stats | 错误率 | 越小越好 |
| Min Throughput | default | 最小吞吐率 | 越大越好 |
| Mean Throughput | default | 平均吞吐率 | 越大越好 |
| Median Throughput | default | 中位吞吐率 | 越大越好 |
| Max Throughput | default | 最大吞吐率 | 越大越好 |
| 50th percentile latency | default | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | default | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | default | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99.9th percentile latency | default | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | default | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | default | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | default | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | default | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99.9th percentile service time | default | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | default | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | default | 错误率 | 越小越好 |
| Min Throughput | term | 最小吞吐率 | 越大越好 |
| Mean Throughput | term | 平均吞吐率 | 越大越好 |
| Median Throughput | term | 中位吞吐率 | 越大越好 |
| Max Throughput | term | 最大吞吐率 | 越大越好 |
| 50th percentile latency | term | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | term | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | term | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99.9th percentile latency | term | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | term | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | term | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | term | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | term | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99.9th percentile service time | term | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | term | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | term | 错误率 | 越小越好 |
| Min Throughput | phrase | 最小吞吐率 | 越大越好 |
| Mean Throughput | phrase | 平均吞吐率 | 越大越好 |
| Median Throughput | phrase | 中位吞吐率 | 越大越好 |
| Max Throughput | phrase | 最大吞吐率 | 越大越好 |
| 50th percentile latency | phrase | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | phrase | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | phrase | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99.9th percentile latency | phrase | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | phrase | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | phrase | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | phrase | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | phrase | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99.9th percentile service time | phrase | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | phrase | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | phrase | 错误率 | 越小越好 |
| Min Throughput | country_agg_uncached | 最小吞吐率 | 越大越好 |
| Mean Throughput | country_agg_uncached | 平均吞吐率 | 越大越好 |
| Median Throughput | country_agg_uncached | 中位吞吐率 | 越大越好 |
| Max Throughput | country_agg_uncached | 最大吞吐率 | 越大越好 |
| 50th percentile latency | country_agg_uncached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | country_agg_uncached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | country_agg_uncached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | country_agg_uncached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | country_agg_uncached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | country_agg_uncached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | country_agg_uncached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | country_agg_uncached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | country_agg_uncached | 错误率 | 越小越好 |
| Min Throughput | country_agg_cached | 最小吞吐率 | 越大越好 |
| Mean Throughput | country_agg_cached | 平均吞吐率 | 越大越好 |
| Median Throughput | country_agg_cached | 中位吞吐率 | 越大越好 |
| Max Throughput | country_agg_cached | 最大吞吐率 | 越大越好 |
| 50th percentile latency | country_agg_cached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | country_agg_cached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | country_agg_cached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99.9th percentile latency | country_agg_cached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | country_agg_cached | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | country_agg_cached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | country_agg_cached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | country_agg_cached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99.9th percentile service time | country_agg_cached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | country_agg_cached | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | country_agg_cached | 错误率 | 越小越好 |
| Min Throughput | scroll | 最小吞吐率 | 越大越好 |
| Mean Throughput | scroll | 平均吞吐率 | 越大越好 |
| Median Throughput | scroll | 中位吞吐率 | 越大越好 |
| Max Throughput | scroll | 最大吞吐率 | 越大越好 |
| 50th percentile latency | scroll | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | scroll | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | scroll | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | scroll | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | scroll | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | scroll | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | scroll | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | scroll | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | scroll | 错误率 | 越小越好 |
| Min Throughput | expression | 最小吞吐率 | 越大越好 |
| Mean Throughput | expression | 平均吞吐率 | 越大越好 |
| Median Throughput | expression | 中位吞吐率 | 越大越好 |
| Max Throughput | expression | 最大吞吐率 | 越大越好 |
| 50th percentile latency | expression | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | expression | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | expression | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | expression | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | expression | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | expression | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | expression | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | expression | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | expression | 错误率 | 越小越好 |
| Min Throughput | painless_static | 最小吞吐率 | 越大越好 |
| Mean Throughput | painless_static | 平均吞吐率 | 越大越好 |
| Median Throughput | painless_static | 中位吞吐率 | 越大越好 |
| Max Throughput | painless_static | 最大吞吐率 | 越大越好 |
| 50th percentile latency | painless_static | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | painless_static | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | painless_static | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | painless_static | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | painless_static | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | painless_static | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | painless_static | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | painless_static | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | painless_static | 错误率 | 越小越好 |
| Min Throughput | painless_dynamic | 最小吞吐率 | 越大越好 |
| Mean Throughput | painless_dynamic | 平均吞吐率 | 越大越好 |
| Median Throughput | painless_dynamic | 中位吞吐率 | 越大越好 |
| Max Throughput | painless_dynamic | 最大吞吐率 | 越大越好 |
| 50th percentile latency | painless_dynamic | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | painless_dynamic | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | painless_dynamic | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | painless_dynamic | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | painless_dynamic | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | painless_dynamic | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | painless_dynamic | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | painless_dynamic | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | painless_dynamic | 错误率 | 越小越好 |
| Min Throughput | decay_geo_gauss_function_score | 最小吞吐率 | 越大越好 |
| Mean Throughput | decay_geo_gauss_function_score | 平均吞吐率 | 越大越好 |
| Median Throughput | decay_geo_gauss_function_score | 中位吞吐率 | 越大越好 |
| Max Throughput | decay_geo_gauss_function_score | 最大吞吐率 | 越大越好 |
| 50th percentile latency | decay_geo_gauss_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | decay_geo_gauss_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | decay_geo_gauss_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | decay_geo_gauss_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | decay_geo_gauss_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | decay_geo_gauss_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | decay_geo_gauss_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | decay_geo_gauss_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | decay_geo_gauss_function_score | 错误率 | 越小越好 |
| Min Throughput | decay_geo_gauss_script_score | 最小吞吐率 | 越大越好 |
| Mean Throughput | decay_geo_gauss_script_score | 平均吞吐率 | 越大越好 |
| Median Throughput | decay_geo_gauss_script_score | 中位吞吐率 | 越大越好 |
| Max Throughput | decay_geo_gauss_script_score | 最大吞吐率 | 越大越好 |
| 50th percentile latency | decay_geo_gauss_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | decay_geo_gauss_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | decay_geo_gauss_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | decay_geo_gauss_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | decay_geo_gauss_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | decay_geo_gauss_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | decay_geo_gauss_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | decay_geo_gauss_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | decay_geo_gauss_script_score | 错误率 | 越小越好 |
| Min Throughput | field_value_function_score | 最小吞吐率 | 越大越好 |
| Mean Throughput | field_value_function_score | 平均吞吐率 | 越大越好 |
| Median Throughput | field_value_function_score | 中位吞吐率 | 越大越好 |
| Max Throughput | field_value_function_score | 最大吞吐率 | 越大越好 |
| 50th percentile latency | field_value_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | field_value_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | field_value_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | field_value_function_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | field_value_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | field_value_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | field_value_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | field_value_function_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | field_value_function_score | 错误率 | 越小越好 |
| Min Throughput | field_value_script_score | 最小吞吐率 | 越大越好 |
| Mean Throughput | field_value_script_score | 平均吞吐率 | 越大越好 |
| Median Throughput | field_value_script_score | 中位吞吐率 | 越大越好 |
| Max Throughput | field_value_script_score | 最大吞吐率 | 越大越好 |
| 50th percentile latency | field_value_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | field_value_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | field_value_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | field_value_script_score | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | field_value_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | field_value_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | field_value_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | field_value_script_score | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | field_value_script_score | 错误率 | 越小越好 |
| Min Throughput | large_terms | 最小吞吐率 | 越大越好 |
| Mean Throughput | large_terms | 平均吞吐率 | 越大越好 |
| Median Throughput | large_terms | 中位吞吐率 | 越大越好 |
| Max Throughput | large_terms | 最大吞吐率 | 越大越好 |
| 50th percentile latency | large_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | large_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | large_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | large_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | large_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | large_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | large_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | large_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | large_terms | 错误率 | 越小越好 |
| Min Throughput | large_filtered_terms | 最小吞吐率 | 越大越好 |
| Mean Throughput | large_filtered_terms | 平均吞吐率 | 越大越好 |
| Median Throughput | large_filtered_terms | 中位吞吐率 | 越大越好 |
| Max Throughput | large_filtered_terms | 最大吞吐率 | 越大越好 |
| 50th percentile latency | large_filtered_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | large_filtered_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | large_filtered_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | large_filtered_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | large_filtered_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | large_filtered_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | large_filtered_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | large_filtered_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | large_filtered_terms | 错误率 | 越小越好 |
| Min Throughput | large_prohibited_terms | 最小吞吐率 | 越大越好 |
| Mean Throughput | large_prohibited_terms | 平均吞吐率 | 越大越好 |
| Median Throughput | large_prohibited_terms | 中位吞吐率 | 越大越好 |
| Max Throughput | large_prohibited_terms | 最大吞吐率 | 越大越好 |
| 50th percentile latency | large_prohibited_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | large_prohibited_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | large_prohibited_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | large_prohibited_terms | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | large_prohibited_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | large_prohibited_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | large_prohibited_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | large_prohibited_terms | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | large_prohibited_terms | 错误率 | 越小越好 |
| Min Throughput | desc_sort_population | 最小吞吐率 | 越大越好 |
| Mean Throughput | desc_sort_population | 平均吞吐率 | 越大越好 |
| Median Throughput | desc_sort_population | 中位吞吐率 | 越大越好 |
| Max Throughput | desc_sort_population | 最大吞吐率 | 越大越好 |
| 50th percentile latency | desc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | desc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | desc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | desc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | desc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | desc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | desc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | desc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | desc_sort_population | 错误率 | 越小越好 |
| Min Throughput | asc_sort_population | 最小吞吐率 | 越大越好 |
| Mean Throughput | asc_sort_population | 平均吞吐率 | 越大越好 |
| Median Throughput | asc_sort_population | 中位吞吐率 | 越大越好 |
| Max Throughput | asc_sort_population | 最大吞吐率 | 越大越好 |
| 50th percentile latency | asc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | asc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | asc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | asc_sort_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | asc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | asc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | asc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | asc_sort_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | asc_sort_population | 错误率 | 越小越好 |
| Min Throughput | asc_sort_with_after_population | 最小吞吐率 | 越大越好 |
| Mean Throughput | asc_sort_with_after_population | 平均吞吐率 | 越大越好 |
| Median Throughput | asc_sort_with_after_population | 中位吞吐率 | 越大越好 |
| Max Throughput | asc_sort_with_after_population | 最大吞吐率 | 越大越好 |
| 50th percentile latency | asc_sort_with_after_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | asc_sort_with_after_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | asc_sort_with_after_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | asc_sort_with_after_population | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | asc_sort_with_after_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | asc_sort_with_after_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | asc_sort_with_after_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | asc_sort_with_after_population | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | asc_sort_with_after_population | 错误率 | 越小越好 |
| Min Throughput | desc_sort_geonameid | 最小吞吐率 | 越大越好 |
| Mean Throughput | desc_sort_geonameid | 平均吞吐率 | 越大越好 |
| Median Throughput | desc_sort_geonameid | 中位吞吐率 | 越大越好 |
| Max Throughput | desc_sort_geonameid | 最大吞吐率 | 越大越好 |
| 50th percentile latency | desc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | desc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | desc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | desc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | desc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | desc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | desc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | desc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | desc_sort_geonameid | 错误率 | 越小越好 |
| Min Throughput | desc_sort_with_after_geonameid | 最小吞吐率 | 越大越好 |
| Mean Throughput | desc_sort_with_after_geonameid | 平均吞吐率 | 越大越好 |
| Median Throughput | desc_sort_with_after_geonameid | 中位吞吐率 | 越大越好 |
| Max Throughput | desc_sort_with_after_geonameid | 最大吞吐率 | 越大越好 |
| 50th percentile latency | desc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | desc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | desc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | desc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | desc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | desc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | desc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | desc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | desc_sort_with_after_geonameid | 错误率 | 越小越好 |
| Min Throughput | asc_sort_geonameid | 最小吞吐率 | 越大越好 |
| Mean Throughput | asc_sort_geonameid | 平均吞吐率 | 越大越好 |
| Median Throughput | asc_sort_geonameid | 中位吞吐率 | 越大越好 |
| Max Throughput | asc_sort_geonameid | 最大吞吐率 | 越大越好 |
| 50th percentile latency | asc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | asc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | asc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | asc_sort_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | asc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | asc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | asc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | asc_sort_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | asc_sort_geonameid | 错误率 | 越小越好 |
| Min Throughput | asc_sort_with_after_geonameid | 最小吞吐率 | 越大越好 |
| Mean Throughput | asc_sort_with_after_geonameid | 平均吞吐率 | 越大越好 |
| Median Throughput | asc_sort_with_after_geonameid | 中位吞吐率 | 越大越好 |
| Max Throughput | asc_sort_with_after_geonameid | 最大吞吐率 | 越大越好 |
| 50th percentile latency | asc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 90th percentile latency | asc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 99th percentile latency | asc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 100th percentile latency | asc_sort_with_after_geonameid | 提交请求和收到完整回复之间的时间段 | 越小越好 |
| 50th percentile service time | asc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 90th percentile service time | asc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 99th percentile service time | asc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| 100th percentile service time | asc_sort_with_after_geonameid | 请求处理开始和接收完整响应之间的时间段 | 越小越好 |
| error rate | asc_sort_with_after_geonameid | 错误率 | 越小越好 |
正文完
