当前位置：网站首页>esRally国内安装使用避坑指南-全网最新
esRally国内安装使用避坑指南-全网最新
2022-07-06 07:39:00 【水的精神】
按照官网的步骤来，一步一个坑，浪费了我一天的时间！多数是因为国内的网络，下载和拉取速度太慢，导致安装失败。所以写了这个文章，来记录我成功安装的案例，希望可以帮到想用esrallu做基准测试的人！
网上也有文章不过都过时了！官网呢，又不适合中国网络情况的使用。我甚至严重怀疑，官网的步骤，他们有没有执行一遍试试。因为用哪些命令肯定会遇到问题。比如：
sudo yum install git我不相信这条命令，能帮我们下载新版本的git！
注意目前esrally最新版本是 2.5.0！
官网地址（英文的最新版）：Quickstart — Rally 2.5.0 documentation
中文文档（0.9版本的）：安装 — Rally 0.9.0 文档
准备环境-需要的环境介绍
我在看文档的时候，其实蛮想知道我为什么要安装这些东西，以及不安装行不行，我需要安装什么版本的。我在看着官网折腾这个的时候浪费了挺多时间，所以特地写一篇博客来带大家避坑！
操作系统 centos7，我是在centos7下安装的，其它版本，操作系统不适用，其它版本我没有验证能否成功。esrally只能运行在linux下！
安装过程需要网络环境。即使有网络，在装一些东西的时候依旧有很多问题，所以我在安装一些东西的时候，也会用安装包安装，来减少问题的出现。
另外说一句，esrally文档是写给外国人的，因为一些网络环境我们不具备，所以根据文档操作，一大堆问题。
想要运行esrally必备的工具
- python3.8以上版本，我看官网的例子是用python3.8.10的版本。为了减少问题，我也用python3.8.10。说一下为什么要用它，因为esrally是用python写的，安装也用到了pip3。这些都属于必备的！
- git，版本1.9及以上版本。用git是因为es用到的数据都放在了网上，用到的测试用例也放在git上，所以需要我们在用的时候拉取。这个也是必须的，没有不行！
- JDK。用这个是因为，esrally支持自动构建es集群，就是帮你搭建集群。es低版本（7版本之前）并没有内嵌JDK，所以这些版本需要JDK，并配置好环境。如果你是自建集群，对已有的集群进行测试，那就不需要JDK了。如果需要它帮你搭建集群，你就需要将JDK环境配置好。
- esrally，es基准测试的主角。
如何在linux centos下安装python环境
这篇文章是我在用esrally的时候写的，我跟着官网做的时候遇到很多坑，主要是浪费了时间，实在没必要。我的这个方案更简单！请看我这篇文章：
centos下编译安装各个版本的python_水的精神的博客-CSDN博客
如何升级git，或者说安装git
centos7默认安装了git，遗憾的是它的版本是1.8的。也就是低于官网要求的1.9版本。所以需要升级。在网上找文档折腾的半天，都不靠谱。所以建议看我这篇文章（特简单，三条命令）：
Linux centos下三条命令安装升级git_水的精神的博客-CSDN博客
如何安装JDK
下载安装jdk13
https://www.oracle.com/java/technologies/javase-jdk13-downloads.html复制
下载，上传到服务器上。
然后rpm安装
rpm -ivh jdk-13.0.2_linux-x64_bin.rpm配置环境变量，在 /etc/profile文件的末尾加入以下内容
export JAVA_HOME=/usr/java/jdk-13.0.2
export PATH=$JAVA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar并执行下列命令使环境变量生效
source /etc/profile安装esrally
官网给的操作是使用一条命令安装，开起来很简单：
pip3 install esrally但是我执行不成功。可能我对python不是很熟悉的原因把。我用的其它方式来安装的（离线安装 esrally 是最靠谱的，解决拉取问题！我在尝试上边的命令的时候，遇到了一堆问题。不想解决了！所以用离线的方式来安装它）：
- 安装上面文档提到的所有依赖包
- 下载 最新发布的离线包 ，并将它拷贝到目标机器。
- 解压安装包
tar -xzf esrally-dist-*.tar.gz。 - 执行安装脚本
sudo ./esrally-dist-*/install.sh。
在执行第四条的时候，还是遇到了问题（我把遇到几个问题贴出来，希望可以帮到你们）：
执行 ./install.sh 第一个问题：
ERROR: Could not find a version that satisfies the requirement py-cpuinfo==7.0.0 (from esrally) (from versions: 7.0.0)
ERROR: No matching distribution found for py-cpuinfo==7.0.0
解决命令：
pip3 install py-cpuinfo -i https://pypi.tuna.tsinghua.edu.cn/simple/ --trusted-host pypi.tuna.tsinghua.edu.cn 执行 ./install.sh 第二个问题（python pip相关的问题）：
问题
WARNING: You are using pip version 21.1.1; however, version 22.1.2 is available.
You should consider upgrading via the '/usr/local/python38/bin/python3.8 -m pip install --upgrade pip' command.
解决命令：
python3 -m pip install --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple/ --trusted-host pypi.tuna.tsinghua.edu.cn第三个问题：
解决问题：
pip3 install --upgrade setuptools -i https://pypi.tuna.tsinghua.edu.cn/simple/ --trusted-host pypi.tuna.tsinghua.edu.cn以上三个问题解决完以后，esrally已经可以成功安装了！
尝试运行一下，因为我已经安装过了es集群。所以已经可以使用了！
命令如下：
esrally race --track=percolator --target-hosts=10.10.10.10:9200,10.10.10.10:9201,10.10.10.10:9202 --pipeline=benchmark-only 如果你没有建好的集群，尝试使用这个命令来运行（这个会帮你创建一个es集群，耐心等待，时间比较长）：
esrally --distribution-version=6.0.0
我的案例运行结果如下 ：
[[email protected] esrally-track]# esrally race --track=percolator --target-hosts=10.10.10.10:9200,10.10.10.10:9201,10.10.10.10:9202 --pipeline=benchmark-only
____ ____
/ __ \____ _/ / /_ __
/ /_/ / __ `/ / / / / /
/ _, _/ /_/ / / / /_/ /
/_/ |_|\__,_/_/_/\__, /
/____/
[INFO] Race id is [7f280f60-6b48-41db-9ab3-f6977170c417]
[WARNING] Could not update tracks. Continuing with your locally available state.
[WARNING] Could not update tracks. Continuing with your locally available state.
[INFO] Downloading track data (121.1 kB total size) [100.0%]
[INFO] Decompressing track data from [/root/.rally/benchmarks/data/percolator/queries-2.json.bz2] to [/root/.rally/benchmarks/data/percolator/queries-2.json] (resulting size: [0.1... [OK]
[INFO] Preparing file offset table for [/root/.rally/benchmarks/data/percolator/queries-2.json] ... [OK]
[INFO] Racing on track [percolator], challenge [append-no-conflicts] and car ['external'] with version [6.8.0].
[WARNING] merges_total_time is 8107257 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 1274256 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] indexing_total_time is 79966971 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] refresh_total_time is 3806308 ms indicating that the cluster is not in a defined clean state. Recorded index time metrics may be misleading.
[WARNING] flush_total_time is 522750 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 [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 percolator_with_content_president_bush [100% done]
Running percolator_with_content_saddam_hussein [100% done]
Running percolator_with_content_hurricane_katrina [100% done]
Running percolator_with_content_google [100% done]
Running percolator_no_score_with_content_google [100% done]
Running percolator_with_highlighting [100% done]
Running percolator_with_content_ignore_me [100% done]
Running percolator_no_score_with_content_ignore_me [100% done]
------------------------------------------------------
_______ __ _____
/ ____(_)___ ____ _/ / / ___/_________ ________
/ /_ / / __ \/ __ `/ / \__ \/ ___/ __ \/ ___/ _ \
/ __/ / / / / / /_/ / / ___/ / /__/ /_/ / / / __/
/_/ /_/_/ /_/\__,_/_/ /____/\___/\____/_/ \___/
------------------------------------------------------
| Metric | Task | Value | Unit |
|---------------------------------------------------------------:|-------------------------------------------:|--------------:|-------:|
| Cumulative indexing time of primary shards | | 1334.87 | min |
| Min cumulative indexing time across primary shards | | 0.39835 | min |
| Median cumulative indexing time across primary shards | | 15.4366 | min |
| Max cumulative indexing time across primary shards | | 26.0545 | 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 | | 135.302 | min |
| Cumulative merge count of primary shards | | 805 | |
| Min cumulative merge time across primary shards | | 0.03545 | min |
| Median cumulative merge time across primary shards | | 1.25905 | min |
| Max cumulative merge time across primary shards | | 8.2117 | min |
| Cumulative merge throttle time of primary shards | | 21.2376 | 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 | | 3.46082 | min |
| Cumulative refresh time of primary shards | | 63.4783 | min |
| Cumulative refresh count of primary shards | | 4067 | |
| Min cumulative refresh time across primary shards | | 0.00725 | min |
| Median cumulative refresh time across primary shards | | 0.758333 | min |
| Max cumulative refresh time across primary shards | | 1.46298 | min |
| Cumulative flush time of primary shards | | 8.7125 | min |
| Cumulative flush count of primary shards | | 233 | |
| Min cumulative flush time across primary shards | | 0 | min |
| Median cumulative flush time across primary shards | | 0.0939167 | min |
| Max cumulative flush time across primary shards | | 0.46015 | min |
| Total Young Gen GC time | | 11.337 | s |
| Total Young Gen GC count | | 777 | |
| Total Old Gen GC time | | 0 | s |
| Total Old Gen GC count | | 0 | |
| Store size | | 84.4625 | GB |
| Translog size | | 2.95658 | GB |
| Heap used for segments | | 172.674 | MB |
| Heap used for doc values | | 0.014431 | MB |
| Heap used for terms | | 141.275 | MB |
| Heap used for norms | | 0.038147 | MB |
| Heap used for points | | 7.70514 | MB |
| Heap used for stored fields | | 23.6414 | MB |
| Segment count | | 85 | |
| Total Ingest Pipeline count | | 0 | |
| Total Ingest Pipeline time | | 0 | s |
| Total Ingest Pipeline failed | | 0 | |
| error rate | index | 0 | % |
| Min Throughput | percolator_with_content_president_bush | 47.9 | ops/s |
| Mean Throughput | percolator_with_content_president_bush | 48.16 | ops/s |
| Median Throughput | percolator_with_content_president_bush | 48.16 | ops/s |
| Max Throughput | percolator_with_content_president_bush | 48.43 | ops/s |
| 50th percentile latency | percolator_with_content_president_bush | 10.2912 | ms |
| 90th percentile latency | percolator_with_content_president_bush | 13.3935 | ms |
| 99th percentile latency | percolator_with_content_president_bush | 16.1495 | ms |
| 100th percentile latency | percolator_with_content_president_bush | 16.4619 | ms |
| 50th percentile service time | percolator_with_content_president_bush | 9.44676 | ms |
| 90th percentile service time | percolator_with_content_president_bush | 12.2333 | ms |
| 99th percentile service time | percolator_with_content_president_bush | 15.5729 | ms |
| 100th percentile service time | percolator_with_content_president_bush | 15.6444 | ms |
| error rate | percolator_with_content_president_bush | 0 | % |
| Min Throughput | percolator_with_content_saddam_hussein | 50.07 | ops/s |
| Mean Throughput | percolator_with_content_saddam_hussein | 50.07 | ops/s |
| Median Throughput | percolator_with_content_saddam_hussein | 50.07 | ops/s |
| Max Throughput | percolator_with_content_saddam_hussein | 50.08 | ops/s |
| 50th percentile latency | percolator_with_content_saddam_hussein | 3.68269 | ms |
| 90th percentile latency | percolator_with_content_saddam_hussein | 4.41383 | ms |
| 99th percentile latency | percolator_with_content_saddam_hussein | 8.45466 | ms |
| 100th percentile latency | percolator_with_content_saddam_hussein | 9.41373 | ms |
| 50th percentile service time | percolator_with_content_saddam_hussein | 2.81123 | ms |
| 90th percentile service time | percolator_with_content_saddam_hussein | 3.50136 | ms |
| 99th percentile service time | percolator_with_content_saddam_hussein | 7.73842 | ms |
| 100th percentile service time | percolator_with_content_saddam_hussein | 8.28083 | ms |
| error rate | percolator_with_content_saddam_hussein | 0 | % |
| Min Throughput | percolator_with_content_hurricane_katrina | 50.13 | ops/s |
| Mean Throughput | percolator_with_content_hurricane_katrina | 50.15 | ops/s |
| Median Throughput | percolator_with_content_hurricane_katrina | 50.15 | ops/s |
| Max Throughput | percolator_with_content_hurricane_katrina | 50.17 | ops/s |
| 50th percentile latency | percolator_with_content_hurricane_katrina | 8.31714 | ms |
| 90th percentile latency | percolator_with_content_hurricane_katrina | 9.77985 | ms |
| 99th percentile latency | percolator_with_content_hurricane_katrina | 11.9031 | ms |
| 100th percentile latency | percolator_with_content_hurricane_katrina | 16.0777 | ms |
| 50th percentile service time | percolator_with_content_hurricane_katrina | 6.9336 | ms |
| 90th percentile service time | percolator_with_content_hurricane_katrina | 8.12209 | ms |
| 99th percentile service time | percolator_with_content_hurricane_katrina | 11.4533 | ms |
| 100th percentile service time | percolator_with_content_hurricane_katrina | 14.9582 | ms |
| error rate | percolator_with_content_hurricane_katrina | 0 | % |
| Min Throughput | percolator_with_content_google | 26.57 | ops/s |
| Mean Throughput | percolator_with_content_google | 26.77 | ops/s |
| Median Throughput | percolator_with_content_google | 26.76 | ops/s |
| Max Throughput | percolator_with_content_google | 26.97 | ops/s |
| 50th percentile latency | percolator_with_content_google | 83.5241 | ms |
| 90th percentile latency | percolator_with_content_google | 104.656 | ms |
| 99th percentile latency | percolator_with_content_google | 115.239 | ms |
| 100th percentile latency | percolator_with_content_google | 119.399 | ms |
| 50th percentile service time | percolator_with_content_google | 34.601 | ms |
| 90th percentile service time | percolator_with_content_google | 44.8482 | ms |
| 99th percentile service time | percolator_with_content_google | 52.8977 | ms |
| 100th percentile service time | percolator_with_content_google | 53.925 | ms |
| error rate | percolator_with_content_google | 0 | % |
| Min Throughput | percolator_no_score_with_content_google | 99.79 | ops/s |
| Mean Throughput | percolator_no_score_with_content_google | 99.79 | ops/s |
| Median Throughput | percolator_no_score_with_content_google | 99.79 | ops/s |
| Max Throughput | percolator_no_score_with_content_google | 99.79 | ops/s |
| 50th percentile latency | percolator_no_score_with_content_google | 3.85806 | ms |
| 90th percentile latency | percolator_no_score_with_content_google | 4.32838 | ms |
| 99th percentile latency | percolator_no_score_with_content_google | 4.84981 | ms |
| 100th percentile latency | percolator_no_score_with_content_google | 5.66612 | ms |
| 50th percentile service time | percolator_no_score_with_content_google | 2.98046 | ms |
| 90th percentile service time | percolator_no_score_with_content_google | 3.37479 | ms |
| 99th percentile service time | percolator_no_score_with_content_google | 4.04749 | ms |
| 100th percentile service time | percolator_no_score_with_content_google | 5.13068 | ms |
| error rate | percolator_no_score_with_content_google | 0 | % |
| Min Throughput | percolator_with_highlighting | 48.79 | ops/s |
| Mean Throughput | percolator_with_highlighting | 48.94 | ops/s |
| Median Throughput | percolator_with_highlighting | 48.94 | ops/s |
| Max Throughput | percolator_with_highlighting | 49.09 | ops/s |
| 50th percentile latency | percolator_with_highlighting | 5.55708 | ms |
| 90th percentile latency | percolator_with_highlighting | 6.13534 | ms |
| 99th percentile latency | percolator_with_highlighting | 10.0739 | ms |
| 100th percentile latency | percolator_with_highlighting | 21.7479 | ms |
| 50th percentile service time | percolator_with_highlighting | 4.72898 | ms |
| 90th percentile service time | percolator_with_highlighting | 5.13776 | ms |
| 99th percentile service time | percolator_with_highlighting | 9.4044 | ms |
| 100th percentile service time | percolator_with_highlighting | 21.1273 | ms |
| error rate | percolator_with_highlighting | 0 | % |
| Min Throughput | percolator_with_content_ignore_me | 0.08 | ops/s |
| Mean Throughput | percolator_with_content_ignore_me | 0.08 | ops/s |
| Median Throughput | percolator_with_content_ignore_me | 0.08 | ops/s |
| Max Throughput | percolator_with_content_ignore_me | 0.08 | ops/s |
| 50th percentile latency | percolator_with_content_ignore_me | 10721.8 | ms |
| 90th percentile latency | percolator_with_content_ignore_me | 11339.3 | ms |
| 99th percentile latency | percolator_with_content_ignore_me | 11920.1 | ms |
| 100th percentile latency | percolator_with_content_ignore_me | 12114.7 | ms |
| 50th percentile service time | percolator_with_content_ignore_me | 10719.2 | ms |
| 90th percentile service time | percolator_with_content_ignore_me | 11337.3 | ms |
| 99th percentile service time | percolator_with_content_ignore_me | 11916.3 | ms |
| 100th percentile service time | percolator_with_content_ignore_me | 12112 | ms |
| error rate | percolator_with_content_ignore_me | 0 | % |
| Min Throughput | percolator_no_score_with_content_ignore_me | 15.03 | ops/s |
| Mean Throughput | percolator_no_score_with_content_ignore_me | 15.05 | ops/s |
| Median Throughput | percolator_no_score_with_content_ignore_me | 15.05 | ops/s |
| Max Throughput | percolator_no_score_with_content_ignore_me | 15.06 | ops/s |
| 50th percentile latency | percolator_no_score_with_content_ignore_me | 31.3156 | ms |
| 90th percentile latency | percolator_no_score_with_content_ignore_me | 50.9371 | ms |
| 99th percentile latency | percolator_no_score_with_content_ignore_me | 58.0967 | ms |
| 100th percentile latency | percolator_no_score_with_content_ignore_me | 58.1975 | ms |
| 50th percentile service time | percolator_no_score_with_content_ignore_me | 30.048 | ms |
| 90th percentile service time | percolator_no_score_with_content_ignore_me | 49.9852 | ms |
| 99th percentile service time | percolator_no_score_with_content_ignore_me | 57.0299 | ms |
| 100th percentile service time | percolator_no_score_with_content_ignore_me | 57.3463 | ms |
| error rate | percolator_no_score_with_content_ignore_me | 0 | % |
[WARNING] No throughput metrics available for [index]. Likely cause: The benchmark ended already during warmup.
----------------------------------
[INFO] SUCCESS (took 1691 seconds)
----------------------------------
边栏推荐
- Basics of reptile - Scratch reptile
- Ble of Jerry [chapter]
- 合规、高效，加快药企数字化转型，全新打造药企文档资源中心
- Get/post/put/patch/delete meaning
- leecode-C語言實現-15. 三數之和------思路待改進版
- [cf gym101196-i] waif until dark network maximum flow
- 解决方案：智慧工地智能巡检方案视频监控系统
- How to estimate the number of threads
- Inspiration from the recruitment of bioinformatics analysts in the Department of laboratory medicine, Zhujiang Hospital, Southern Medical University
- js對象獲取屬性的方法(.和[]方式)
猜你喜欢
How to prevent Association in cross-border e-commerce multi account operations?
How MySQL merges data
合规、高效，加快药企数字化转型，全新打造药企文档资源中心
![[cf gym101196-i] waif until dark network maximum flow](/img/66/6b339fc23146b5fbdcd2a1fa0a2349.png)
[cf gym101196-i] waif until dark network maximum flow
![[MySQL learning notes 32] mvcc](/img/0d/2df82b63d1eb3283a84e27f67c1523.png)
[MySQL learning notes 32] mvcc
JMeter performance test steps practical tutorial
解决方案：智慧工地智能巡检方案视频监控系统
Pre knowledge reserve of TS type gymnastics to become an excellent TS gymnastics master
![[非线性控制理论]9_非线性控制理论串讲](/img/a8/03ed363659a0a067c2f1934457c106.png)
[非线性控制理论]9_非线性控制理论串讲
TypeScript接口与泛型的使用
随机推荐
The difference between TS Gymnastics (cross operation) and interface inheritance
上线APS系统，破除物料采购计划与生产实际脱钩的难题
HTTP cache, forced cache, negotiated cache
Typescript indexable type
xpath中的position()函数使用
Linked list interview questions (Graphic explanation)
In the era of digital economy, how to ensure security?
Word setting directory
Force buckle day31
Risk planning and identification of Oracle project management system
Ble of Jerry [chapter]
学go之路（一）go的基本介绍到第一个helloworld
Position() function in XPath uses
Three no resumes in the software testing industry. What does the enterprise use to recruit you? Shichendahai's resume
Sélectionnez toutes les lignes avec un symbole dans Word et changez - les en titre
C ＃ create database connection object SQLite database
Launch APS system to break the problem of decoupling material procurement plan from production practice
[online problem processing] how to kill the corresponding process when the MySQL table deadlock is caused by the code
Solution: système de surveillance vidéo intelligent de patrouille sur le chantier
Openjudge noi 2.1 1749: Digital Square