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alexarchambault/coursier-pr-1677.ipynb

Created April 30, 2020 11:15
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coursier-pr-1677.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## How to run the benchmark\n",
"\n",
"Get data for the latest release (`master`):\n",
"```bash\n",
"$ cs launch coursier -- resolve --checksum none org.apache.spark:spark-repl_2.12:2.4.4 -B -100 2>&1 | tee master\n",
"```\n",
"\n",
"Get data for the PR (`optim`):\n",
"```bash\n",
"$ sbt cli/pack # ensure #1677 is checked-out before that\n",
"$ modules/cli/target/pack/bin/coursier resolve --checksum none org.apache.spark:spark-repl_2.12:2.4.4 -B -100 2>&1 | tee optim\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div class=\"jp-RenderedText\">\n",
"<pre><code><span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">import </span></span><span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">java.nio.file._\n",
"</span></span>\n",
"<span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">import </span></span><span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">java.nio.charset.StandardCharsets\n",
"\n",
"</span></span>\n",
"defined <span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">function</span></span> <span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">load</span></span>\n",
"<span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">dir</span></span>: <span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">Path</span></span> = <style>@keyframes fadein { from { opacity: 0; } to { opacity: 1; } }</style><span style=\"animation: fadein 2s;\">/Users/alexandre/projects/coursier</span></code></pre>\n",
"</div>"
],
"text/plain": [
"\u001b[32mimport \u001b[39m\u001b[36mjava.nio.file._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mjava.nio.charset.StandardCharsets\n",
"\n",
"\u001b[39m\n",
"defined \u001b[32mfunction\u001b[39m \u001b[36mload\u001b[39m\n",
"\u001b[36mdir\u001b[39m: \u001b[32mPath\u001b[39m = /Users/alexandre/projects/coursier"
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},
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"output_type": "display_data"
}
],
"source": [
"import java.nio.file._\n",
"import java.nio.charset.StandardCharsets\n",
"\n",
"private val drop = 20\n",
"\n",
"def load(file: Path): Seq[Int] = {\n",
" val input = new String(Files.readAllBytes(file), StandardCharsets.UTF_8)\n",
" input\n",
" .linesIterator\n",
" .map(_.trim)\n",
" .filter(_.endsWith(\" ms\"))\n",
" .map(_.stripSuffix(\" ms\"))\n",
" .drop(drop)\n",
" .map(_.toInt)\n",
" .toVector\n",
"}\n",
"\n",
"lazy val dir = Paths.get(\"/Users/alexandre/projects/coursier\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\u001b[32mimport \u001b[39m\u001b[36m$ivy.$ \n",
"\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly.element._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly.layout._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly.Almond._\u001b[39m"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import $ivy.`org.plotly-scala::plotly-almond:0.7.4`\n",
"\n",
"import plotly._\n",
"import plotly.element._\n",
"import plotly.layout._\n",
"import plotly.Almond._"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <script type=\"text/javascript\">\n",
" require.config({\n",
" paths: {\n",
" d3: 'https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min',\n",
" plotly: 'https://cdn.plot.ly/plotly-1.41.3.min',\n",
" jquery: 'https://code.jquery.com/jquery-3.3.1.min'\n",
" },\n",
"\n",
" shim: {\n",
" plotly: {\n",
" deps: ['d3', 'jquery'],\n",
" exports: 'plotly'\n",
" }\n",
" }\n",
"});\n",
" \n",
"\n",
" require(['plotly'], function(Plotly) {\n",
" window.Plotly = Plotly;\n",
" });\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
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",
"text/html": [
"<div class=\"chart\" id=\"plot-4686b8c8-cbb9-4a56-b024-afa13455bdbe\"></div>\n",
"<script>require(['plotly'], function(Plotly) {\n",
" (function () {\n",
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"\n",
" var data = [data0, data1];\n",
" var layout = {};\n",
"\n",
" Plotly.plot('plot-4686b8c8-cbb9-4a56-b024-afa13455bdbe', data, layout);\n",
"})();\n",
"});\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"private val dataSets = Seq(\n",
" \"master\" -> Seq(\n",
" \"master-103cf1cfc0\",\n",
" \"master-103cf1cfc0-2\",\n",
" \"master-103cf1cfc0-3\",\n",
" \"master-103cf1cfc0-4\",\n",
" \"master-103cf1cfc0-5\",\n",
" \"master-103cf1cfc0-6\"\n",
" ),\n",
" \"optim\" -> Seq(\n",
" \"optim-9a2e58c7fe\",\n",
" \"optim-9a2e58c7fe-2\",\n",
" \"optim-9a2e58c7fe-3\",\n",
" \"optim-9a2e58c7fe-4\",\n",
" \"optim-9a2e58c7fe-5\",\n",
" \"optim-9a2e58c7fe-6\"\n",
" )\n",
")\n",
"\n",
"private def data = dataSets.map {\n",
" case (id, names) =>\n",
" val data = names.flatMap(name => load(dir.resolve(name)))\n",
" Box(x = data, name = id)\n",
"}\n",
"\n",
"{ data.reverse.plot(); () }"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
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",
"text/html": [
"<div class=\"chart\" id=\"plot-d69e2f0c-1724-432e-94c0-6b4fc1e610d4\"></div>\n",
"<script>require(['plotly'], function(Plotly) {\n",
" (function () {\n",
" var data0 = {\"x\":[478.0,479.0,363.0,374.0,361.0,374.0,383.0,343.0,378.0,363.0,332.0,315.0,386.0,363.0,335.0,327.0,331.0,313.0,323.0,344.0,317.0,318.0,325.0,311.0,320.0,317.0,336.0,336.0,316.0,317.0,331.0,319.0,318.0,323.0,318.0,346.0,317.0,323.0,318.0,321.0,316.0,319.0,313.0,334.0,322.0,313.0,321.0,321.0,312.0,351.0,343.0,328.0,354.0,355.0,351.0,360.0,353.0,324.0,343.0,343.0,352.0,355.0,349.0,351.0,343.0,356.0,341.0,346.0,379.0,353.0,419.0,336.0,348.0,383.0,348.0,340.0,332.0,347.0,340.0,357.0,328.0],\"name\":\"optim-9a2e58c7fe-6\",\"type\":\"box\"};\n",
" var data1 = {\"x\":[558.0,473.0,376.0,373.0,387.0,405.0,323.0,413.0,450.0,449.0,351.0,401.0,358.0,361.0,351.0,335.0,374.0,354.0,394.0,378.0,343.0,344.0,339.0,338.0,344.0,341.0,350.0,340.0,340.0,340.0,325.0,334.0,347.0,340.0,380.0,335.0,340.0,341.0,337.0,347.0,354.0,368.0,345.0,380.0,321.0,321.0,316.0,314.0,330.0,316.0,312.0,320.0,339.0,315.0,318.0,336.0,338.0,353.0,353.0,331.0,346.0,346.0,368.0,348.0,342.0,337.0,345.0,326.0,328.0,343.0,344.0,335.0,335.0,339.0,335.0,342.0,324.0,339.0,359.0,354.0,340.0],\"name\":\"optim-9a2e58c7fe-5\",\"type\":\"box\"};\n",
" var data2 = {\"x\":[422.0,502.0,414.0,373.0,411.0,383.0,357.0,435.0,462.0,407.0,393.0,391.0,363.0,356.0,340.0,456.0,394.0,353.0,388.0,342.0,340.0,341.0,341.0,371.0,348.0,336.0,343.0,331.0,332.0,346.0,347.0,362.0,343.0,345.0,361.0,351.0,338.0,331.0,354.0,350.0,374.0,359.0,349.0,343.0,385.0,350.0,359.0,348.0,332.0,342.0,383.0,340.0,351.0,346.0,333.0,333.0,333.0,311.0,326.0,320.0,328.0,324.0,319.0,308.0,314.0,312.0,312.0,317.0,315.0,316.0,316.0,317.0,316.0,313.0,318.0,306.0,331.0,370.0,338.0,339.0,338.0],\"name\":\"optim-9a2e58c7fe-4\",\"type\":\"box\"};\n",
" var data3 = {\"x\":[465.0,451.0,369.0,392.0,479.0,372.0,370.0,405.0,349.0,328.0,347.0,388.0,372.0,346.0,349.0,414.0,348.0,377.0,348.0,375.0,336.0,342.0,343.0,332.0,337.0,342.0,354.0,318.0,317.0,308.0,311.0,318.0,313.0,314.0,318.0,337.0,314.0,310.0,314.0,308.0,311.0,312.0,319.0,317.0,326.0,306.0,317.0,324.0,310.0,314.0,324.0,308.0,318.0,311.0,326.0,315.0,311.0,316.0,328.0,312.0,321.0,318.0,314.0,313.0,329.0,314.0,313.0,318.0,311.0,319.0,306.0,312.0,311.0,348.0,323.0,364.0,310.0,317.0,313.0,331.0,314.0],\"name\":\"optim-9a2e58c7fe-3\",\"type\":\"box\"};\n",
" var data4 = {\"x\":[462.0,419.0,392.0,473.0,456.0,445.0,404.0,395.0,501.0,398.0,432.0,384.0,371.0,351.0,365.0,361.0,345.0,357.0,377.0,351.0,347.0,351.0,340.0,343.0,364.0,352.0,345.0,348.0,345.0,338.0,345.0,345.0,340.0,350.0,347.0,350.0,341.0,347.0,347.0,340.0,353.0,349.0,346.0,343.0,363.0,340.0,340.0,349.0,348.0,337.0,348.0,341.0,341.0,347.0,347.0,332.0,346.0,348.0,343.0,340.0,342.0,343.0,348.0,334.0,341.0,341.0,346.0,342.0,339.0,354.0,339.0,342.0,341.0,348.0,336.0,348.0,348.0,322.0,338.0,347.0,317.0],\"name\":\"optim-9a2e58c7fe-2\",\"type\":\"box\"};\n",
" var data5 = {\"x\":[443.0,460.0,372.0,394.0,435.0,432.0,369.0,468.0,408.0,364.0,360.0,395.0,367.0,357.0,364.0,405.0,392.0,364.0,359.0,351.0,349.0,342.0,371.0,350.0,357.0,345.0,342.0,343.0,343.0,345.0,349.0,354.0,342.0,353.0,340.0,348.0,337.0,345.0,344.0,347.0,357.0,336.0,348.0,348.0,344.0,347.0,346.0,349.0,344.0,348.0,374.0,336.0,349.0,351.0,337.0,346.0,346.0,333.0,345.0,392.0,349.0,355.0,341.0,350.0,342.0,347.0,350.0,342.0,347.0,344.0,349.0,340.0,324.0,343.0,349.0,345.0,349.0,317.0,345.0,352.0,335.0],\"name\":\"optim-9a2e58c7fe\",\"type\":\"box\"};\n",
" var data6 = {\"x\":[490.0,504.0,414.0,381.0,459.0,366.0,411.0,354.0,396.0,483.0,406.0,360.0,403.0,385.0,354.0,343.0,336.0,340.0,344.0,353.0,367.0,331.0,347.0,352.0,337.0,349.0,351.0,373.0,347.0,349.0,339.0,349.0,341.0,341.0,340.0,340.0,353.0,341.0,347.0,344.0,332.0,342.0,344.0,342.0,368.0,350.0,345.0,340.0,345.0,335.0,337.0,363.0,354.0,340.0,355.0,347.0,348.0,344.0,336.0,339.0,349.0,347.0,324.0,343.0,338.0,341.0,346.0,338.0,342.0,349.0,340.0,344.0,340.0,341.0,344.0,335.0,335.0,339.0,341.0,345.0,374.0],\"name\":\"master-103cf1cfc0-6\",\"type\":\"box\"};\n",
" var data7 = {\"x\":[493.0,435.0,427.0,405.0,440.0,449.0,463.0,396.0,399.0,363.0,358.0,427.0,393.0,352.0,379.0,389.0,376.0,341.0,387.0,363.0,349.0,341.0,331.0,340.0,338.0,340.0,360.0,344.0,343.0,348.0,341.0,346.0,346.0,414.0,340.0,344.0,352.0,351.0,347.0,375.0,345.0,353.0,350.0,357.0,342.0,340.0,338.0,344.0,341.0,341.0,344.0,336.0,341.0,346.0,349.0,347.0,354.0,338.0,345.0,354.0,333.0,342.0,353.0,337.0,341.0,359.0,336.0,343.0,329.0,333.0,355.0,348.0,330.0,356.0,341.0,342.0,330.0,338.0,343.0,357.0,331.0],\"name\":\"master-103cf1cfc0-5\",\"type\":\"box\"};\n",
" var data8 = {\"x\":[432.0,439.0,425.0,400.0,414.0,392.0,439.0,405.0,424.0,376.0,351.0,449.0,424.0,402.0,349.0,406.0,365.0,338.0,354.0,359.0,374.0,369.0,357.0,343.0,344.0,340.0,338.0,339.0,352.0,338.0,342.0,344.0,331.0,339.0,339.0,340.0,366.0,341.0,341.0,361.0,345.0,332.0,343.0,314.0,320.0,348.0,340.0,342.0,347.0,338.0,345.0,341.0,340.0,348.0,335.0,355.0,344.0,343.0,349.0,348.0,335.0,340.0,347.0,335.0,324.0,365.0,346.0,338.0,358.0,332.0,337.0,346.0,341.0,324.0,337.0,346.0,340.0,317.0,337.0,355.0,346.0],\"name\":\"master-103cf1cfc0-4\",\"type\":\"box\"};\n",
" var data9 = {\"x\":[464.0,434.0,407.0,400.0,439.0,499.0,460.0,368.0,419.0,417.0,441.0,374.0,370.0,435.0,405.0,346.0,361.0,343.0,343.0,351.0,313.0,359.0,324.0,310.0,318.0,326.0,311.0,315.0,323.0,311.0,334.0,324.0,312.0,317.0,344.0,336.0,344.0,347.0,336.0,359.0,349.0,336.0,343.0,350.0,333.0,339.0,355.0,336.0,349.0,359.0,339.0,342.0,349.0,344.0,341.0,341.0,347.0,347.0,347.0,346.0,333.0,313.0,317.0,331.0,311.0,315.0,314.0,314.0,309.0,340.0,350.0,335.0,344.0,326.0,333.0,345.0,346.0,346.0,338.0,342.0,342.0],\"name\":\"master-103cf1cfc0-3\",\"type\":\"box\"};\n",
" var data10 = {\"x\":[459.0,413.0,408.0,402.0,428.0,382.0,344.0,333.0,363.0,346.0,330.0,363.0,393.0,357.0,357.0,350.0,358.0,351.0,369.0,323.0,323.0,342.0,359.0,339.0,348.0,355.0,352.0,348.0,349.0,338.0,343.0,353.0,339.0,347.0,358.0,345.0,343.0,344.0,333.0,342.0,359.0,324.0,340.0,327.0,323.0,320.0,324.0,321.0,324.0,323.0,315.0,342.0,329.0,314.0,323.0,325.0,312.0,322.0,336.0,313.0,321.0,353.0,317.0,331.0,341.0,330.0,333.0,329.0,314.0,321.0,312.0,326.0,324.0,321.0,311.0,321.0,320.0,320.0,311.0,324.0,323.0],\"name\":\"master-103cf1cfc0-2\",\"type\":\"box\"};\n",
" var data11 = {\"x\":[430.0,423.0,428.0,401.0,390.0,361.0,537.0,395.0,409.0,371.0,399.0,358.0,352.0,352.0,442.0,394.0,381.0,350.0,350.0,364.0,337.0,345.0,351.0,331.0,344.0,349.0,337.0,353.0,345.0,330.0,342.0,348.0,339.0,342.0,412.0,379.0,349.0,346.0,338.0,331.0,342.0,343.0,335.0,352.0,336.0,337.0,383.0,343.0,342.0,337.0,344.0,351.0,343.0,337.0,343.0,339.0,339.0,336.0,346.0,337.0,343.0,321.0,343.0,344.0,347.0,339.0,333.0,345.0,343.0,341.0,329.0,341.0,342.0,336.0,339.0,342.0,346.0,342.0,345.0,353.0,366.0],\"name\":\"master-103cf1cfc0\",\"type\":\"box\"};\n",
"\n",
" var data = [data0, data1, data2, data3, data4, data5, data6, data7, data8, data9, data10, data11];\n",
" var layout = {};\n",
"\n",
" Plotly.plot('plot-d69e2f0c-1724-432e-94c0-6b4fc1e610d4', data, layout);\n",
"})();\n",
"});\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"private val dataSetNames = Seq(\n",
" \"master-103cf1cfc0\",\n",
" \"master-103cf1cfc0-2\",\n",
" \"master-103cf1cfc0-3\",\n",
" \"master-103cf1cfc0-4\",\n",
" \"master-103cf1cfc0-5\",\n",
" \"master-103cf1cfc0-6\",\n",
" \"optim-9a2e58c7fe\",\n",
" \"optim-9a2e58c7fe-2\",\n",
" \"optim-9a2e58c7fe-3\",\n",
" \"optim-9a2e58c7fe-4\",\n",
" \"optim-9a2e58c7fe-5\",\n",
" \"optim-9a2e58c7fe-6\"\n",
")\n",
"\n",
"private def data = dataSetNames.map { name =>\n",
" val data = load(dir.resolve(name))\n",
" Box(x = data, name = name)\n",
"}\n",
"\n",
"{ data.reverse.plot(); () }"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Scala",
"language": "scala",
"name": "scala"
},
"language_info": {
"codemirror_mode": "text/x-scala",
"file_extension": ".scala",
"mimetype": "text/x-scala",
"name": "scala",
"nbconvert_exporter": "script",
"version": "2.13.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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