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@nfisher
Created May 8, 2014 00:05
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Jmeter Performance Analysis
{
"metadata": {
"name": "Performance Analysis"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": "### Overview\n\nBy: [Nathan Fisher](http://junctionbox.ca/)\n\nThe following JMX file was used to generate the input CSV file which generated the graphs below. It depends on the [JMeter Standard Plugins](http://jmeter-plugins.org). It is the simplest application possible only responding to an HTTP GET request.\n\n```\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<jmeterTestPlan version=\"1.2\" properties=\"2.4\" jmeter=\"2.9 r1437961\">\n <hashTree>\n <TestPlan guiclass=\"TestPlanGui\" testclass=\"TestPlan\" testname=\"Test Plan\" enabled=\"true\">\n <stringProp name=\"TestPlan.comments\"></stringProp>\n <boolProp name=\"TestPlan.functional_mode\">false</boolProp>\n <boolProp name=\"TestPlan.serialize_threadgroups\">true</boolProp>\n <elementProp name=\"TestPlan.user_defined_variables\" elementType=\"Arguments\" guiclass=\"ArgumentsPanel\" testclass=\"Arguments\" testname=\"User Defined Variables\" enabled=\"true\">\n <collectionProp name=\"Arguments.arguments\"/>\n </elementProp>\n <stringProp name=\"TestPlan.user_define_classpath\"></stringProp>\n </TestPlan>\n <hashTree>\n <ThreadGroup guiclass=\"ThreadGroupGui\" testclass=\"ThreadGroup\" testname=\"Run\" enabled=\"true\">\n <stringProp name=\"ThreadGroup.on_sample_error\">continue</stringProp>\n <elementProp name=\"ThreadGroup.main_controller\" elementType=\"LoopController\" guiclass=\"LoopControlPanel\" testclass=\"LoopController\" testname=\"Loop Controller\" enabled=\"true\">\n <boolProp name=\"LoopController.continue_forever\">false</boolProp>\n <intProp name=\"LoopController.loops\">-1</intProp>\n </elementProp>\n <stringProp name=\"ThreadGroup.num_threads\">300</stringProp>\n <stringProp name=\"ThreadGroup.ramp_time\">1</stringProp>\n <longProp name=\"ThreadGroup.start_time\">1397168869000</longProp>\n <longProp name=\"ThreadGroup.end_time\">1397168869000</longProp>\n <boolProp name=\"ThreadGroup.scheduler\">false</boolProp>\n <stringProp name=\"ThreadGroup.duration\"></stringProp>\n <stringProp name=\"ThreadGroup.delay\"></stringProp>\n </ThreadGroup>\n <hashTree>\n <kg.apc.jmeter.timers.VariableThroughputTimer guiclass=\"kg.apc.jmeter.timers.VariableThroughputTimerGui\" testclass=\"kg.apc.jmeter.timers.VariableThroughputTimer\" testname=\"jp@gc - Throughput Shaping Timer\" enabled=\"true\">\n <collectionProp name=\"load_profile\">\n <collectionProp name=\"529439337\">\n <stringProp name=\"49\">1</stringProp>\n <stringProp name=\"1567005\">3000</stringProp>\n <stringProp name=\"48687\">120</stringProp>\n </collectionProp>\n <collectionProp name=\"214752332\">\n <stringProp name=\"1567005\">3000</stringProp>\n <stringProp name=\"1567005\">3000</stringProp>\n <stringProp name=\"48687\">120</stringProp>\n </collectionProp>\n </collectionProp>\n </kg.apc.jmeter.timers.VariableThroughputTimer>\n <hashTree/>\n <HTTPSamplerProxy guiclass=\"HttpTestSampleGui\" testclass=\"HTTPSamplerProxy\" testname=\"HTTP Request\" enabled=\"true\">\n <elementProp name=\"HTTPsampler.Arguments\" elementType=\"Arguments\" guiclass=\"HTTPArgumentsPanel\" testclass=\"Arguments\" testname=\"User Defined Variables\" enabled=\"true\">\n <collectionProp name=\"Arguments.arguments\"/>\n </elementProp>\n <stringProp name=\"HTTPSampler.domain\">localhost</stringProp>\n <stringProp name=\"HTTPSampler.port\">8080</stringProp>\n <stringProp name=\"HTTPSampler.connect_timeout\"></stringProp>\n <stringProp name=\"HTTPSampler.response_timeout\"></stringProp>\n <stringProp name=\"HTTPSampler.protocol\"></stringProp>\n <stringProp name=\"HTTPSampler.contentEncoding\"></stringProp>\n <stringProp name=\"HTTPSampler.path\">/img/nfisher@junctionbox.ca</stringProp>\n <stringProp name=\"HTTPSampler.method\">GET</stringProp>\n <boolProp name=\"HTTPSampler.follow_redirects\">false</boolProp>\n <boolProp name=\"HTTPSampler.auto_redirects\">false</boolProp>\n <boolProp name=\"HTTPSampler.use_keepalive\">false</boolProp>\n <boolProp name=\"HTTPSampler.DO_MULTIPART_POST\">false</boolProp>\n <boolProp name=\"HTTPSampler.monitor\">false</boolProp>\n <stringProp name=\"HTTPSampler.embedded_url_re\"></stringProp>\n </HTTPSamplerProxy>\n <hashTree/>\n <ResultCollector guiclass=\"SimpleDataWriter\" testclass=\"ResultCollector\" testname=\"Simple Data Writer\" enabled=\"true\">\n <boolProp name=\"ResultCollector.error_logging\">false</boolProp>\n <objProp>\n <name>saveConfig</name>\n <value class=\"SampleSaveConfiguration\">\n <time>false</time>\n <latency>true</latency>\n <timestamp>true</timestamp>\n <success>false</success>\n <label>false</label>\n <code>true</code>\n <message>false</message>\n <threadName>false</threadName>\n <dataType>false</dataType>\n <encoding>false</encoding>\n <assertions>false</assertions>\n <subresults>false</subresults>\n <responseData>false</responseData>\n <samplerData>false</samplerData>\n <xml>false</xml>\n <fieldNames>true</fieldNames>\n <responseHeaders>false</responseHeaders>\n <requestHeaders>false</requestHeaders>\n <responseDataOnError>false</responseDataOnError>\n <saveAssertionResultsFailureMessage>false</saveAssertionResultsFailureMessage>\n <assertionsResultsToSave>0</assertionsResultsToSave>\n <bytes>true</bytes>\n </value>\n </objProp>\n <stringProp name=\"filename\">performance/throughput-${__time(YMDHMS)}.csv</stringProp>\n </ResultCollector>\n <hashTree/>\n </hashTree>\n```"
},
{
"cell_type": "code",
"collapsed": false,
"input": "import matplotlib.pyplot as plt\nimport pandas as pd\nimport functools\n\ndef norm(mn, t):\n \"\"\"\n Normalise the time to a 0s starting point.\n \"\"\"\n return int((t - mn) / 1000)\n\n# read the jmeter results\ndf = pd.read_csv('performance/throughput-20140411-094059.csv', low_memory=False)\n\n# normalise the test time to a start of 0s.\np = functools.partial(norm, min(df.timeStamp))\ndf['normtime'] = df.timeStamp.apply(p)\nnorm_df = df.set_index('normtime')\n\n# calculate the bounds of the plot\nylim = [0,max(df.Latency)]\nxlim = [min(df.normtime),max(df.normtime)]\n\n# create a histogram consisting of RPS per second of the test. \ndist = df.groupby('normtime').size().reset_index()\ndist.columns = ['normtime', 'oc']\n\nplt.figure(figsize=(16,10))\n# plot a trend line for the RPS. \ndist.oc.plot(xlim=xlim)\n\n# create a histogram consisting of the maximum latency per second of the test. \nmx = df.groupby('normtime').Latency.max().reset_index()\n\n\n# plot the maximum latency per second of the test.\nmx.Latency.plot(ylim=ylim, xlim=xlim, secondary_y=True, label='Max Latency')\n\npctl95 = norm_df.Latency.quantile(q=0.95)\npctl999 = norm_df.Latency.quantile(q=0.999)\npctl9999 = norm_df.Latency.quantile(q=0.9999)\n\nplt.hlines(pctl95, xlim[0], xlim[1], label='95th PCTL', linestyles='dashed')\nplt.hlines(pctl999, xlim[0], xlim[1], label='99.9th PCTL', linestyles='dashdot')\nplt.hlines(pctl9999, xlim[0], xlim[1], label='99.99th PCTL')\nplt.legend(loc=2)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 26,
"text": "<matplotlib.legend.Legend at 0x1092b1c10>"
},
{
"metadata": {},
"output_type": "display_data",
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rJfTovRYRKdqhQxARAUU0CfnF64WMDAgLg2rVyn78iROQnQ01a0Iwzl5xu+Hw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UzI8/qWenqX9E5YtQ0LV3jjzfC+s/Md+nbry7STpwFQ1rOM6oPVWJaVjdCzItHSKlV47clVnoeX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\nu5m/o3ZmSZdTq+vw3NFzMWf0HNXtBoJL0i7Bx7d+LBiRx0dOb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"text": "<matplotlib.figure.Figure at 0x1106cff90>"
}
],
"prompt_number": 26
}
],
"metadata": {}
}
]
}
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