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https://github.com/lana-k/sqliteviz.git
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SQLite WebAssembly micro-benchmark and new build with a memory leak fix (#70)
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benchmark
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dist
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/lib/build-*
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/lib/dist
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/build-*-result.json
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/sample.csv
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FROM node:12-buster
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RUN set -ex; \
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echo 'deb http://deb.debian.org/debian unstable main' \
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> /etc/apt/sources.list.d/unstable.list; \
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apt-get update; \
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apt-get install -y -t unstable firefox; \
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apt-get install -y chromium
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WORKDIR /tmp/build
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COPY package.json ./
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COPY lib/dist lib/dist
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COPY lib/package.json lib/package.json
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RUN npm install
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COPY . .
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CMD npm run benchmark
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# SQLite WebAssembly build micro-benchmark
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This directory contains a micro-benchmark for evaluating SQLite
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WebAssembly builds performance on typical SQL queries, run from
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`make.sh` script. It can also serve as a smoke test.
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The benchmark operates on a set of SQLite WebAssembly builds expected
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in `lib/build-$NAME` directories each containing `sql-wasm.js` and
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`sql-wasm.wasm`. Then it creates a Docker image for each, and runs
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the benchmark in Firefox and Chromium using Karma in the container.
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After successful run, the benchmark result of each build is contained
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in `build-$NAME-result.json`. The JSON result files can be analysed
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using `result-analysis.ipynb` Jupyter notebook.
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module.exports = function (config) {
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const timeout = 15 * 60 * 1000
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config.set({
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frameworks: ['mocha'],
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files: [
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'suite.js',
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{ pattern: 'node_modules/sql.js/dist/sql-wasm.wasm', served: true, included: false },
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{ pattern: 'sample.csv', served: true, included: false }
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],
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reporters: ['progress', 'json-to-file'],
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singleRun: true,
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customLaunchers: {
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ChromiumHeadlessNoSandbox: { base: 'ChromiumHeadless', flags: ['--no-sandbox'] }
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},
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browsers: ['ChromiumHeadlessNoSandbox', 'FirefoxHeadless'],
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concurrency: 1,
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browserDisconnectTimeout: timeout,
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browserNoActivityTimeout: timeout,
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captureTimeout: timeout,
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browserSocketTimeout: timeout,
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pingTimeout: timeout,
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client: {
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captureConsole: true,
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mocha: { timeout: timeout }
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},
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logLevel: config.LOG_INFO,
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browserConsoleLogOptions: { terminal: true, level: config.LOG_INFO },
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preprocessors: { 'suite.js': [ 'webpack' ] },
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webpack: {
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mode: 'development',
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module: {
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noParse: [ __dirname + '/node_modules/benchmark/benchmark.js' ]
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},
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node: { fs: 'empty' }
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},
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proxies: {
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'/sql-wasm.wasm': '/base/node_modules/sql.js/dist/sql-wasm.wasm'
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},
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jsonToFileReporter: { outputPath: '.', fileName: 'suite-result.json' }
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})
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}
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{
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"name": "sql.js",
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"main": "./dist/sql-wasm.js",
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"private": true
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}
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Executable
+21
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#!/bin/bash -e
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if [ ! -f sample.csv ]; then
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wget --header="accept-encoding: gzip" -q -O- \
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https://github.com/plotly/datasets/raw/547090bd/wellspublic.csv \
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| gunzip -c > sample.csv
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fi
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for d in lib/build-* ; do
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rm -r lib/dist || true
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cp -r $d lib/dist
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name=$(basename $d)
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docker build -t sqliteviz/sqljs-benchmark:$name .
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docker rm sqljs-benchmark-$name 2> /dev/null || true
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docker run -it --name sqljs-benchmark-$name sqliteviz/sqljs-benchmark:$name
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docker cp sqljs-benchmark-$name:/tmp/build/suite-result.json ${name}-result.json
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docker rm sqljs-benchmark-$name
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done
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rm -r lib/dist
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{
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"name": "sqlite-webassembly-microbenchmark",
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"private": true,
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"dependencies": {
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"@babel/core" : "^7.14.8",
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"babel-loader": "^8.2.2",
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"benchmark": "^2.1.4",
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"lodash": "^4.17.4",
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"papaparse": "^5.3.1",
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"mocha": "^9.0.3",
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"karma": "^6.3.4",
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"karma-chrome-launcher": "^3.1.0",
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"karma-firefox-launcher": "^2.1.1",
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"karma-json-to-file-reporter" : "^1.0.1",
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"karma-mocha": "^2.0.1",
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"karma-webpack": "^4.0.2",
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"webpack": "^4.46.0",
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"sql.js": "file:./lib"
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},
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"scripts": {
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"benchmark": "karma start karma.conf.js"
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}
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}
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "2e7d8525",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"from pathlib import Path\n",
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"\n",
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"import pandas\n",
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"import plotly.express as px"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "0f420fe2",
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"metadata": {},
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"outputs": [],
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"source": [
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"benchmark_path = Path('/path/to/sqliteviz/project/sqliteviz/lib/sql-js/benchmark')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "b7d79c6c",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_dict = {}\n",
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"stat_dict = {}\n",
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"for p in benchmark_path.glob('build-*-result.json'):\n",
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" build_name = p.stem.split('-', 2)[1]\n",
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" for browser_data in json.loads(p.read_text()):\n",
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" browser_name = f'{browser_data[\"browser\"][\"name\"]} {browser_data[\"browser\"][\"major\"]}'\n",
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" browser_name = browser_name.lower().replace('chrome headless', 'chromium')\n",
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" for result in (r for i, r in browser_data['result'].items() if i.isdigit()):\n",
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" key = build_name, browser_name, result['name']\n",
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" df_dict[key] = result['stats']['sample']\n",
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" stat_dict[key] = result['stats']\n",
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"\n",
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"min_sample_size = min(len(v) for v in df_dict.values())\n",
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"df_dict = {k: v[:min_sample_size] for k, v in df_dict.items()}\n",
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" \n",
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"wide_df = pandas.DataFrame(df_dict).reset_index()\n",
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"df = pandas.melt(\n",
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" wide_df, \n",
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" id_vars='index', \n",
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" var_name=['build', 'browser', 'test'], \n",
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" value_name='duration',\n",
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")\n",
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"df.sort_values(['build', 'index'], inplace=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "bc655c11",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"pr\tfirefox 88\tselect\t0.20 s ± 1.5%\n",
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"master\tfirefox 88\tselect\t0.22 s ± 1.3%\n",
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"pr\tchromium 90\tselect\t0.18 s ± 1.1%\n",
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"master\tchromium 90\tselect\t0.18 s ± 0.5%\n",
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"pr\tfirefox 88\timport\t2.37 s ± 4.3%\n",
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"master\tfirefox 88\timport\t2.64 s ± 2.6%\n",
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"pr\tchromium 90\timport\t1.67 s ± 0.7%\n",
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"master\tchromium 90\timport\t1.74 s ± 1.8%\n"
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]
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}
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],
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"source": [
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"stat_df = pandas.DataFrame(stat_dict)\n",
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"stat_df = stat_df.loc[['mean', 'rme']].transpose()\n",
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"stat_df.index = stat_df.index.set_names(['build', 'browser', 'test'])\n",
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"stat_df = stat_df.reset_index().sort_values(['test', 'browser'], ascending=False)\n",
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"for index, row in stat_df.iterrows():\n",
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" print('\\t'.join([\n",
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" row['build'],\n",
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" row['browser'],\n",
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" row['test'],\n",
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" f'{row[\"mean\"]:.2f} s ± {row[\"rme\"]:.1f}%'\n",
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" ]))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "5a3ab654",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/svg+xml": [
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"<svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"700\" height=\"500\" style=\"\" viewBox=\"0 0 700 500\"><rect x=\"0\" y=\"0\" width=\"700\" height=\"500\" style=\"fill: rgb(255, 255, 255); fill-opacity: 1;\"/><defs id=\"defs-464d78\"><g class=\"clips\"><clipPath id=\"clip464d78xyplot\" class=\"plotclip\"><rect width=\"505.68\" height=\"174.6\"/></clipPath><clipPath id=\"clip464d78x2y2plot\" class=\"plotclip\"><rect width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78x\"><rect x=\"80\" y=\"0\" width=\"505.68\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78y\"><rect x=\"0\" y=\"245.4\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78xy\"><rect x=\"80\" y=\"245.4\" width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78y2\"><rect x=\"0\" y=\"60\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78xy2\"><rect x=\"80\" y=\"60\" width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78x2\"><rect x=\"80\" y=\"0\" width=\"505.68\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78x2y\"><rect x=\"80\" y=\"245.4\" width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip464d78x2y2\"><rect x=\"80\" y=\"60\" width=\"505.68\" height=\"174.6\"/></clipPath></g><g class=\"gradients\"/><g class=\"patterns\"/></defs><g class=\"bglayer\"><rect class=\"bg\" x=\"80\" y=\"245.4\" width=\"505.68\" height=\"174.6\" style=\"fill: rgb(229, 236, 246); 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||||
]
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||||
},
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||||
"metadata": {},
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||||
"output_type": "display_data"
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}
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],
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"source": [
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"fig = px.box(df, x='browser', y='duration', points='all', color='build', facet_row='test')\n",
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"fig.update_yaxes(matches=None)\n",
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"fig.show('svg')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "1619018c",
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"metadata": {},
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"outputs": [
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{
|
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"data": {
|
||||
"image/svg+xml": [
|
||||
"<svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"700\" height=\"500\" style=\"\" viewBox=\"0 0 700 500\"><rect x=\"0\" y=\"0\" width=\"700\" height=\"500\" style=\"fill: rgb(255, 255, 255); fill-opacity: 1;\"/><defs id=\"defs-261f96\"><g class=\"clips\"><clipPath id=\"clip261f96xyplot\" class=\"plotclip\"><rect width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath id=\"clip261f96x2y2plot\" class=\"plotclip\"><rect width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath id=\"clip261f96x3y3plot\" class=\"plotclip\"><rect width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath id=\"clip261f96x4y4plot\" class=\"plotclip\"><rect width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x\"><rect x=\"80\" y=\"0\" width=\"247.67999999999998\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96y\"><rect x=\"0\" y=\"245.4\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96xy\"><rect x=\"80\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96y2\"><rect x=\"0\" y=\"245.4\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96xy2\"><rect x=\"80\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96y3\"><rect x=\"0\" y=\"60\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96xy3\"><rect x=\"80\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96y4\"><rect x=\"0\" y=\"60\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96xy4\"><rect x=\"80\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x2\"><rect x=\"338\" y=\"0\" width=\"247.67999999999998\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x2y\"><rect x=\"338\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x2y2\"><rect x=\"338\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x2y3\"><rect x=\"338\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x2y4\"><rect x=\"338\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x3\"><rect x=\"80\" y=\"0\" width=\"247.67999999999998\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x3y\"><rect x=\"80\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x3y2\"><rect x=\"80\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x3y3\"><rect x=\"80\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x3y4\"><rect x=\"80\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x4\"><rect x=\"338\" y=\"0\" width=\"247.67999999999998\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x4y\"><rect x=\"338\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x4y2\"><rect x=\"338\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x4y3\"><rect x=\"338\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clip261f96x4y4\"><rect x=\"338\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\"/></clipPath></g><g class=\"gradients\"/><g class=\"patterns\"/></defs><g class=\"bglayer\"><rect class=\"bg\" x=\"80\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\" style=\"fill: rgb(229, 236, 246); fill-opacity: 1; stroke-width: 0;\"/><rect class=\"bg\" x=\"338\" y=\"245.4\" width=\"247.67999999999998\" height=\"174.6\" style=\"fill: rgb(229, 236, 246); fill-opacity: 1; stroke-width: 0;\"/><rect class=\"bg\" x=\"80\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\" style=\"fill: rgb(229, 236, 246); fill-opacity: 1; stroke-width: 0;\"/><rect class=\"bg\" x=\"338\" y=\"60\" width=\"247.67999999999998\" height=\"174.6\" style=\"fill: rgb(229, 236, 246); fill-opacity: 1; stroke-width: 0;\"/></g><g class=\"layer-below\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"cartesianlayer\"><g class=\"subplot xy\"><g class=\"layer-subplot\"><g class=\"shapelayer\"/><g class=\"imagelayer\"/></g><g class=\"gridlayer\"><g class=\"x\"><path class=\"xgrid crisp\" transform=\"translate(130.55,0)\" d=\"M0,245.4v174.6\" style=\"stroke: rgb(255, 255Line truncated
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"fig = px.line(\n",
|
||||
" df, x='index', y='duration', color='build', facet_col='browser', facet_row='test'\n",
|
||||
")\n",
|
||||
"fig.update_yaxes(matches=None)\n",
|
||||
"fig.show('svg')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "397b848c",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/svg+xml": [
|
||||
"<svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"700\" height=\"500\" style=\"\" viewBox=\"0 0 700 500\"><rect x=\"0\" y=\"0\" width=\"700\" height=\"500\" style=\"fill: rgb(255, 255, 255); fill-opacity: 1;\"/><defs id=\"defs-c773ca\"><g class=\"clips\"><clipPath id=\"clipc773caxyplot\" class=\"plotclip\"><rect width=\"505.68\" height=\"174.6\"/></clipPath><clipPath id=\"clipc773cax2y2plot\" class=\"plotclip\"><rect width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773cax\"><rect x=\"80\" y=\"0\" width=\"505.68\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773cay\"><rect x=\"0\" y=\"245.4\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773caxy\"><rect x=\"80\" y=\"245.4\" width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773cay2\"><rect x=\"0\" y=\"60\" width=\"700\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773caxy2\"><rect x=\"80\" y=\"60\" width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773cax2\"><rect x=\"80\" y=\"0\" width=\"505.68\" height=\"500\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773cax2y\"><rect x=\"80\" y=\"245.4\" width=\"505.68\" height=\"174.6\"/></clipPath><clipPath class=\"axesclip\" id=\"clipc773cax2y2\"><rect x=\"80\" y=\"60\" width=\"505.68\" height=\"174.6\"/></clipPath></g><g class=\"gradients\"/><g class=\"patterns\"/></defs><g class=\"bglayer\"><rect class=\"bg\" x=\"80\" y=\"245.4\" width=\"505.68\" height=\"174.6\" style=\"fill: rgb(229, 236, 246); 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|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"plot_df = df.groupby(['browser', 'build', 'test'])['duration'].mean().reset_index()\n",
|
||||
"plot_df['pct'] = (\n",
|
||||
" plot_df\n",
|
||||
" .groupby(['browser', 'test'])['duration']\n",
|
||||
" .pct_change()\n",
|
||||
" .fillna('')\n",
|
||||
" .map(lambda v: '{:.2%}'.format(v) if v else v)\n",
|
||||
")\n",
|
||||
"fig = px.bar(\n",
|
||||
" plot_df, \n",
|
||||
" x='browser', \n",
|
||||
" y='duration', \n",
|
||||
" color='build', \n",
|
||||
" text='pct', \n",
|
||||
" barmode='overlay', \n",
|
||||
" facet_row='test',\n",
|
||||
")\n",
|
||||
"fig.update_yaxes(matches=None)\n",
|
||||
"fig.show('svg')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Stats Python 3",
|
||||
"language": "python",
|
||||
"name": "stats"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.9"
|
||||
},
|
||||
"widgets": {
|
||||
"application/vnd.jupyter.widget-state+json": {
|
||||
"state": {},
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,140 @@
|
||||
import benchmark from 'benchmark'
|
||||
import initSqlJs from 'sql.js'
|
||||
import lodash from 'lodash'
|
||||
import Papa from 'papaparse'
|
||||
import useragent from 'ua-parser-js'
|
||||
|
||||
|
||||
describe('SQLite build benchmark', function () {
|
||||
let parsedCsv
|
||||
let sqlModule
|
||||
let selectDb
|
||||
|
||||
before(async function () {
|
||||
parsedCsv = await parseCsv('http://localhost:9876/base/sample.csv')
|
||||
sqlModule = await initSqlJs()
|
||||
|
||||
selectDb = new sqlModule.Database()
|
||||
importToTable(selectDb, parsedCsv)
|
||||
})
|
||||
|
||||
function benchmarkImport () {
|
||||
const db = new sqlModule.Database()
|
||||
try {
|
||||
importToTable(db, parsedCsv)
|
||||
} finally {
|
||||
db.close()
|
||||
}
|
||||
}
|
||||
|
||||
function benchmarkSelect () {
|
||||
const result = selectDb.exec(`
|
||||
SELECT county, AVG(avg_depth) avg_depth_c
|
||||
FROM (
|
||||
SELECT s.county, s.town, COUNT(*) cnt, AVG(s.DrilledDepth) avg_depth
|
||||
FROM csv_import s
|
||||
JOIN csv_import USING(hole)
|
||||
WHERE s.town IS NOT NULL
|
||||
GROUP BY 1, 2
|
||||
ORDER BY 4 DESC
|
||||
)
|
||||
GROUP BY 1
|
||||
ORDER BY 2 DESC
|
||||
`)
|
||||
console.assert(result.values.length == 56, 'Unexpected size of result set')
|
||||
}
|
||||
|
||||
it('run', async function () {
|
||||
const suite = createSuite()
|
||||
suite.add('import', { initCount: 3, minSamples: 50, fn: benchmarkImport })
|
||||
suite.add('select', { initCount: 3, minSamples: 50, fn: benchmarkSelect })
|
||||
await run(suite)
|
||||
})
|
||||
|
||||
})
|
||||
|
||||
|
||||
function importToTable (db, parsedCsv, chunkSize = 1024) {
|
||||
const columnListString = parsedCsv.meta.fields.join(', ')
|
||||
db.exec(`CREATE TABLE csv_import(${columnListString})`)
|
||||
|
||||
const params = parsedCsv.meta.fields.map(name => '?').join(', ')
|
||||
const insertStmt = db.prepare(`INSERT INTO csv_import VALUES(${params})`)
|
||||
chunkArray(parsedCsv.data, chunkSize).map(function (chunk) {
|
||||
db.exec('BEGIN')
|
||||
chunk.map(row => insertStmt.run(Object.values(row)))
|
||||
db.exec('COMMIT')
|
||||
})
|
||||
}
|
||||
|
||||
|
||||
class PromiseWrapper {
|
||||
constructor() {
|
||||
this.promise = new Promise((resolve, reject) => {
|
||||
this.reject = reject
|
||||
this.resolve = resolve
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
function parseCsv(url) {
|
||||
return new Promise((resolve, reject) => {
|
||||
Papa.parse(url, {
|
||||
header: true,
|
||||
download: true,
|
||||
skipEmptyLines: 'greedy',
|
||||
complete: results => resolve(results),
|
||||
error: (error, file) => reject(error)
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
function chunkArray (arr, size) {
|
||||
return arr.reduce(function (result, value, index) {
|
||||
const chunkIndex = Math.floor(index / size)
|
||||
|
||||
if(!(chunkIndex in result)) {
|
||||
result[chunkIndex] = []
|
||||
}
|
||||
result[chunkIndex].push(value)
|
||||
|
||||
return result
|
||||
}, [])
|
||||
}
|
||||
|
||||
|
||||
function createSuite () {
|
||||
// Combined workaround from:
|
||||
// - https://github.com/bestiejs/benchmark.js/issues/106
|
||||
// - https://github.com/bestiejs/benchmark.js/issues/237
|
||||
|
||||
// Benchmark could not pick up lodash otherwise
|
||||
const bm = benchmark.runInContext({ _: lodash })
|
||||
// Avoid `ReferenceError: Benchmark is not defined` error because Benchmark is assumed
|
||||
// to be in window
|
||||
window.Benchmark = bm
|
||||
|
||||
return new bm.Suite()
|
||||
}
|
||||
|
||||
function run (suite) {
|
||||
const suiteResult = new PromiseWrapper()
|
||||
suite
|
||||
.on('cycle', function (event) {
|
||||
console.info(String(event.target))
|
||||
})
|
||||
.on('complete', function () {
|
||||
console.log(JSON.stringify({
|
||||
browser: useragent(navigator.userAgent).browser,
|
||||
result: this.filter('successful')
|
||||
}))
|
||||
suiteResult.resolve()
|
||||
})
|
||||
.on('error', function (event) {
|
||||
console.error('Benchmark failed', String(event.target))
|
||||
suiteResult.reject()
|
||||
})
|
||||
.run({async: true})
|
||||
|
||||
return suiteResult.promise
|
||||
}
|
||||
+8
-5
@@ -5,17 +5,21 @@ from pathlib import Path
|
||||
|
||||
cflags = (
|
||||
'-O2',
|
||||
'-DSQLITE_OMIT_LOAD_EXTENSION',
|
||||
'-DSQLITE_DEFAULT_CACHE_SIZE=-65536', # 64 MiB
|
||||
'-DSQLITE_DEFAULT_MEMSTATUS=0',
|
||||
'-DSQLITE_DEFAULT_SYNCHRONOUS=0',
|
||||
'-DSQLITE_DISABLE_LFS',
|
||||
'-DSQLITE_DQS=0',
|
||||
'-DSQLITE_ENABLE_FTS3',
|
||||
'-DSQLITE_ENABLE_FTS3_PARENTHESIS',
|
||||
'-DSQLITE_ENABLE_FTS5',
|
||||
'-DSQLITE_ENABLE_JSON1',
|
||||
'-DSQLITE_THREADSAFE=0',
|
||||
'-DSQLITE_ENABLE_NORMALIZE',
|
||||
'-DSQLITE_EXTRA_INIT=extra_init',
|
||||
'-DSQLITE_DEFAULT_MEMSTATUS=0',
|
||||
'-DSQLITE_USE_ALLOCA',
|
||||
'-DSQLITE_OMIT_DEPRECATED',
|
||||
'-DSQLITE_OMIT_LOAD_EXTENSION',
|
||||
'-DSQLITE_OMIT_SHARED_CACHE',
|
||||
'-DSQLITE_THREADSAFE=0',
|
||||
)
|
||||
emflags = (
|
||||
# Base
|
||||
@@ -30,7 +34,6 @@ emflags = (
|
||||
'-s', 'INLINING_LIMIT=50',
|
||||
'-O3',
|
||||
'-flto',
|
||||
'--closure', '1',
|
||||
# sql.js
|
||||
'-s', 'EXPORTED_FUNCTIONS=@src/sqljs/exported_functions.json',
|
||||
'-s', 'EXPORTED_RUNTIME_METHODS=@src/sqljs/exported_runtime_methods.json',
|
||||
|
||||
Vendored
+1
-108
@@ -69,114 +69,7 @@ var initSqlJs = function (moduleConfig) {
|
||||
|
||||
// The emcc-generated code and shell-post.js code goes below,
|
||||
// meaning that all of it runs inside of this promise. If anything throws an exception, our promise will abort
|
||||
|
||||
var e;e||(e=typeof Module !== 'undefined' ? Module : {});null;
|
||||
e.onRuntimeInitialized=function(){function a(h,l){this.Ra=h;this.db=l;this.Qa=1;this.lb=[]}function b(h,l){this.db=l;l=ba(h)+1;this.eb=ca(l);if(null===this.eb)throw Error("Unable to allocate memory for the SQL string");k(h,n,this.eb,l);this.jb=this.eb;this.$a=this.pb=null}function c(h){this.filename="dbfile_"+(4294967295*Math.random()>>>0);if(null!=h){var l=this.filename,p=l?r("//"+l):"/";l=da(!0,!0);p=ea(p,(void 0!==l?l:438)&4095|32768,0);if(h){if("string"===typeof h){for(var q=Array(h.length),B=
|
||||
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sqlite3_column_blob=cwrap("sqlite3_column_blob","number",["number","number"]);var sqlite3_column_bytes=cwrap("sqlite3_column_bytes","number",["number","number"]);var sqlite3_column_type=cwrap("sqlite3_column_type","number",["number","number"]);var sqlite3_column_name=cwrap("sqlite3_column_name","string",["number","number"]);var sqlite3_reset=cwrap("sqlite3_reset","number",["number"]);var sqlite3_clear_bindings=cwrap("sqlite3_clear_bindings","number",["number"]);var sqlite3_finalize=cwrap("sqlite3_finalize","number",["number"]);var sqlite3_create_function_v2=cwrap("sqlite3_create_function_v2","number",["number","string","number","number","number","number","number","number","number"]);var sqlite3_value_type=cwrap("sqlite3_value_type","number",["number"]);var sqlite3_value_bytes=cwrap("sqlite3_value_bytes","number",["number"]);var sqlite3_value_text=cwrap("sqlite3_value_text","string",["number"]);var sqlite3_value_blob=cwrap("sqlite3_value_blob","number",["number"]);var sqlite3_value_double=cwrap("sqlite3_value_double","number",["number"]);var sqlite3_result_double=cwrap("sqlite3_result_double","",["number","number"]);var sqlite3_result_null=cwrap("sqlite3_result_null","",["number"]);var sqlite3_result_text=cwrap("sqlite3_result_text","",["number","string","number","number"]);var sqlite3_result_blob=cwrap("sqlite3_result_blob","",["number","number","number","number"]);var sqlite3_result_int=cwrap("sqlite3_result_int","",["number","number"]);var sqlite3_result_error=cwrap("sqlite3_result_error","",["number","string","number"]);var registerExtensionFunctions=cwrap("RegisterExtensionFunctions","number",["number"]);function Statement(stmt1,db){this.stmt=stmt1;this.db=db;this.pos=1;this.allocatedmem=[]}Statement.prototype["bind"]=function bind(values){if(!this.stmt){throw"Statement closed"}this["reset"]();if(Array.isArray(values))return this.bindFromArray(values);if(values!=null&&typeof values==="object"){return this.bindFromObject(values)}return true};Statement.prototype["step"]=function step(){if(!this.stmt){throw"Statement closed"}this.pos=1;var ret=sqlite3_step(this.stmt);switch(ret){case SQLITE_ROW:return true;case SQLITE_DONE:return false;default:throw this.db.handleError(ret)}};Statement.prototype.getNumber=function getNumber(pos){if(pos==null){pos=this.pos;this.pos+=1}return sqlite3_column_double(this.stmt,pos)};Statement.prototype.getString=function getString(pos){if(pos==null){pos=this.pos;this.pos+=1}return sqlite3_column_text(this.stmt,pos)};Statement.prototype.getBlob=function getBlob(pos){if(pos==null){pos=this.pos;this.pos+=1}var size=sqlite3_column_bytes(this.stmt,pos);var ptr=sqlite3_column_blob(this.stmt,pos);var result=new Uint8Array(size);for(var i=0;i<size;i+=1){result[i]=HEAP8[ptr+i]}return result};Statement.prototype["get"]=function get(params){if(params!=null&&this["bind"](params)){this["step"]()}var results1=[];var ref=sqlite3_data_count(this.stmt);for(var field=0;field<ref;field+=1){switch(sqlite3_column_type(this.stmt,field)){case SQLITE_INTEGER:case SQLITE_FLOAT:results1.push(this.getNumber(field));break;case SQLITE_Line truncated
|
||||
|
||||
|
||||
// The shell-pre.js and emcc-generated code goes above
|
||||
|
||||
BIN
Binary file not shown.
@@ -1,4 +1,5 @@
|
||||
{
|
||||
"name": "sql.js",
|
||||
"main": "./dist/sql-wasm.js"
|
||||
}
|
||||
"main": "./dist/sql-wasm.js",
|
||||
"private": true
|
||||
}
|
||||
Reference in new issue
Block a user