快速开始
Rally是为Unix开发的，并已在Linux和MacOS上进行了很多测试。 Rally支持在Windows上运行的基准Elasticsearch集群，但是Rally本身需要安装在运行Unix的计算机上。
下载安装
安装Python 3.5+（包括pip3，git 1.9+）和对应的JDK以运行Elasticsearch。确保JAVA_HOME指向该JDK。然后运行以下命令，如有必要，可以使用sudo作为前缀：pip3 install esrally
如果您有任何麻烦或需要更详细的说明，请参阅详细的安装指南。
配置
第一次运行rally的时候需要进行配置，如果使用默认配置的话直接执行 esrally configure。
有关更多详细说明，请参阅配置指南。
进行第一次测试
下面让我们进行第一次测试
esrally --distribution-version=6.5.3
这将下载Elasticsearch 6.5.3并对其运行Rally的默认track——the geonames（地名） track。比赛结束后，测试报告如下：
------------------------------------------------------_______ __ _____/ ____(_)___ ____ _/ / / ___/_________ ________/ /_ / / __ \/ __ `/ / \__ \/ ___/ __ \/ ___/ _ \/ __/ / / / / / /_/ / / ___/ / /__/ /_/ / / / __//_/ /_/_/ /_/\__,_/_/ /____/\___/\____/_/ \___/------------------------------------------------------| Lap | Metric | Task | Value | Unit ||------:|----------------------------------------------------------------:|-----------------------:|----------:|--------:|| All | Cumulative indexing time of primary shards | | 54.5878 | min || All | Min cumulative indexing time across primary shards | | 10.7519 | min || All | Median cumulative indexing time across primary shards | | 10.9219 | min || All | Max cumulative indexing time across primary shards | | 11.1754 | min || All | Cumulative indexing throttle time of primary shards | | 0 | min || All | Min cumulative indexing throttle time across primary shards | | 0 | min || All | Median cumulative indexing throttle time across primary shards | | 0 | min || All | Max cumulative indexing throttle time across primary shards | | 0 | min || All | Cumulative merge time of primary shards | | 20.4128 | min || All | Cumulative merge count of primary shards | | 136 | || All | Min cumulative merge time across primary shards | | 3.82548 | min || All | Median cumulative merge time across primary shards | | 4.1088 | min || All | Max cumulative merge time across primary shards | | 4.38148 | min || All | Cumulative merge throttle time of primary shards | | 1.17975 | min || All | Min cumulative merge throttle time across primary shards | | 0.1169 | min || All | Median cumulative merge throttle time across primary shards | | 0.26585 | min || All | Max cumulative merge throttle time across primary shards | | 0.291033 | min || All | Cumulative refresh time of primary shards | | 7.0317 | min || All | Cumulative refresh count of primary shards | | 420 | || All | Min cumulative refresh time across primary shards | | 1.37088 | min || All | Median cumulative refresh time across primary shards | | 1.4076 | min || All | Max cumulative refresh time across primary shards | | 1.43343 | min || All | Cumulative flush time of primary shards | | 0.599417 | min || All | Cumulative flush count of primary shards | | 10 | || All | Min cumulative flush time across primary shards | | 0.0946333 | min || All | Median cumulative flush time across primary shards | | 0.118767 | min || All | Max cumulative flush time across primary shards | | 0.14145 | min || All | Median CPU usage | | 284.4 | % || All | Total Young Gen GC | | 12.868 | s || All | Total Old Gen GC | | 3.803 | s || All | Store size | | 3.17241 | GB || All | Translog size | | 2.62736 | GB || All | Index size | | 5.79977 | GB || All | Total written | | 22.8536 | GB || All | Heap used for segments | | 18.8885 | MB || All | Heap used for doc values | | 0.0322647 | MB || All | Heap used for terms | | 17.7184 | MB || All | Heap used for norms | | 0.0723877 | MB || All | Heap used for points | | 0.277171 | MB || All | Heap used for stored fields | | 0.788307 | MB || All | Segment count | | 94 | || All | Min Throughput | index-append | 38089.5 | docs/s || All | Median Throughput | index-append | 38613.9 | docs/s || All | Max Throughput | index-append | 40693.3 | docs/s || All | 50th percentile latency | index-append | 803.417 | ms || All | 90th percentile latency | index-append | 1913.7 | ms || All | 99th percentile latency | index-append | 3591.23 | ms || All | 99.9th percentile latency | index-append | 6176.23 | ms || All | 100th percentile latency | index-append | 6642.97 | ms || All | 50th percentile service time | index-append | 803.417 | ms || All | 90th percentile service time | index-append | 1913.7 | ms || All | 99th percentile service time | index-append | 3591.23 | ms || All | 99.9th percentile service time | index-append | 6176.23 | ms || All | 100th percentile service time | index-append | 6642.97 | ms || All | error rate | index-append | 0 | % || All | ... | ... | ... | ... || All | ... | ... | ... | ... || All | Min Throughput | large_prohibited_terms | 2 | ops/s || All | Median Throughput | large_prohibited_terms | 2 | ops/s || All | Max Throughput | large_prohibited_terms | 2 | ops/s || All | 50th percentile latency | large_prohibited_terms | 344.429 | ms || All | 90th percentile latency | large_prohibited_terms | 353.187 | ms || All | 99th percentile latency | large_prohibited_terms | 377.22 | ms || All | 100th percentile latency | large_prohibited_terms | 392.918 | ms || All | 50th percentile service time | large_prohibited_terms | 341.177 | ms || All | 90th percentile service time | large_prohibited_terms | 349.979 | ms || All | 99th percentile service time | large_prohibited_terms | 374.958 | ms || All | 100th percentile service time | large_prohibited_terms | 388.62 | ms || All | error rate | large_prohibited_terms | 0 | % |----------------------------------[INFO] SUCCESS (took 1862 seconds)----------------------------------
下一步
现在，您可以检查如何运行基准测试，更好地了解如何解释测试报告中的指标或创建自己的track。你也可以看一下提示和技巧，以帮助您了解如何解决Rally中的特定问题。
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