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| <li><a class="reference internal" href="#id1" id="id2">Load Test</a><ul> |
| <li><a class="reference internal" href="#overview" id="id3">Overview</a></li> |
| <li><a class="reference internal" href="#running-dbench" id="id4">Running Dbench</a></li> |
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| <h2><a class="toc-backref" href="#id2">Load Test</a></h2> |
| <div class="section" id="overview"> |
| <h3><a class="toc-backref" href="#id3">Overview</a></h3> |
| <p>Under distributedlog-benchmark you will find a set of applications intended for generating large amounts of load in a distributedlog cluster. These applications are suitable for load testing, performance testing, benchmarking, or even simply smoke testing a distributedlog cluster.</p> |
| <p>The dbench script can run in several modes:</p> |
| <ol class="arabic simple"> |
| <li>bkwrite - Benchmark the distributedlog write path using the core library</li> |
| <li>write - Benchmark the distributedlog write path, via write proxy, using the thin client</li> |
| <li>read - Benchmark the distributedlog read path using the core library</li> |
| </ol> |
| </div> |
| <div class="section" id="running-dbench"> |
| <h3><a class="toc-backref" href="#id4">Running Dbench</a></h3> |
| <p>The distributedlog-benchmark binary dbench is intended to be run simultaneously from many machines with identical settings. Together, all instances of dbench comprise a benchmark job. How you launch a benchmark job will depend on your operating environment. We recommend using a cluster scheduler like aurora or kubernetes to simplify the process, but tools like capistrano can also simplify this process greatly.</p> |
| <p>The benchmark script can be found at</p> |
| <pre class="literal-block"> |
| distributedlog-benchmark/bin/dbench |
| </pre> |
| <p>Arguments may be passed to this script via environment variables. The available arguments depend on the execution mode. For an up to date list, check the script itself.</p> |
| </div> |
| <div class="section" id="write-to-proxy-with-thin-client"> |
| <h3><a class="toc-backref" href="#id5">Write to Proxy with Thin Client</a></h3> |
| <p>The proxy write test (mode = <cite>write</cite>) can be used to send writes to a proxy cluster to be written to a set of streams.</p> |
| <p>For example to use the proxy write test to generate 10000 requests per second across 10 streams using 50 machines, run the following command on each machine.</p> |
| <pre class="literal-block"> |
| STREAM_NAME_PREFIX=loadtest_ |
| BENCHMARK_DURATION=60 # minutes |
| DL_NAMESPACE=<dl namespace> |
| NUM_STREAMS=10 |
| INITIAL_RATE=200 |
| distributedlog-benchmark/bin/dbench write |
| </pre> |
| </div> |
| <div class="section" id="write-to-bookkeeper-with-core-library"> |
| <h3><a class="toc-backref" href="#id6">Write to BookKeeper with Core Library</a></h3> |
| <p>The core library write test (mode = <cite>bkwrite</cite>) can be used to send writes to directly to bookkeeper using the core library.</p> |
| <p>For example to use the core library write test to generate 100MBps across 10 streams using 100 machines, run the following command on each machine.</p> |
| <pre class="literal-block"> |
| STREAM_NAME_PREFIX=loadtest_ |
| BENCHMARK_DURATION=60 # minutes |
| DL_NAMESPACE=<dl namespace> |
| NUM_STREAMS=10 |
| INITIAL_RATE=1024 |
| MSG_SIZE=1024 |
| distributedlog-benchmark/bin/dbench bkwrite |
| </pre> |
| </div> |
| <div class="section" id="read-from-bookkeeper-with-core-library"> |
| <h3><a class="toc-backref" href="#id7">Read from BookKeeper with Core Library</a></h3> |
| <p>The core library read test (mode = <cite>read</cite>) can be used to read directly from bookkeeper using the core library.</p> |
| <p>For example to use the core library read test to read from 10 streams on 100 instances, run the following command on each machine.</p> |
| <pre class="literal-block"> |
| STREAM_NAME_PREFIX=loadtest_ |
| BENCHMARK_DURATION=60 # minutes |
| DL_NAMESPACE=<dl namespace> |
| MAX_STREAM_ID=9 |
| NUM_READERS_PER_STREAM=5 |
| TRUNCATION_INTERVAL=60 # seconds |
| distributedlog-benchmark/bin/dbench read |
| </pre> |
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