/** * Functions that are used in several benchmark tests */ var customUtils = require('../lib/customUtils') , fs = require('fs') , path = require('path') , Datastore = require('../lib/datastore') , executeAsap // process.nextTick or setImmediate depending on your Node version ; try { executeAsap = setImmediate; } catch (e) { executeAsap = process.nextTick; } /** * Configure the benchmark */ module.exports.getConfiguration = function (benchDb) { var d, n , program = require('commander') ; program .option('-n --number [number]', 'Size of the collection to test on', parseInt) .option('-i --with-index', 'Use an index') .option('-p --with-pipeline', 'Use pipelining') .option('-m --in-memory', 'Test with an in-memory only store') .parse(process.argv); n = program.number || 10000; console.log("----------------------------"); console.log("Test with " + n + " documents"); console.log(program.withIndex ? "Use an index" : "Don't use an index"); console.log(program.withPipeline ? "Use an pipelining" : "Don't use pipelining"); console.log(program.inMemory ? "Use an in-memory datastore" : "Use a persistent datastore"); console.log("----------------------------"); d = new Datastore({ filename: benchDb , pipeline: program.withPipeline , inMemoryOnly: program.inMemory }); return { n: n, d: d, program: program }; }; /** * Ensure the workspace exists and the db datafile is empty */ module.exports.prepareDb = function (filename, cb) { customUtils.ensureDirectoryExists(path.dirname(filename), function () { fs.exists(filename, function (exists) { if (exists) { fs.unlink(filename, cb); } else { return cb(); } }); }); }; /** * Return an array with the numbers from 0 to n-1, in a random order * Uses Fisher Yates algorithm * Useful to get fair tests */ function getRandomArray (n) { var res = [] , i, j, temp ; for (i = 0; i < n; i += 1) { res[i] = i; } for (i = n - 1; i >= 1; i -= 1) { j = Math.floor((i + 1) * Math.random()); temp = res[i]; res[i] = res[j]; res[j] = temp; } return res; }; module.exports.getRandomArray = getRandomArray; /** * Insert a certain number of documents for testing */ module.exports.insertDocs = function (d, n, profiler, cb) { var beg = new Date() , order = getRandomArray(n) ; profiler.step('Begin inserting ' + n + ' docs'); function runFrom(i) { if (i === n) { // Finished console.log("===== RESULT (insert) ===== " + Math.floor(1000* n / profiler.elapsedSinceLastStep()) + " ops/s"); profiler.step('Finished inserting ' + n + ' docs'); return cb(); } d.insert({ docNumber: order[i] }, function (err) { executeAsap(function () { runFrom(i + 1); }); }); } runFrom(0); }; /** * Find documents with find */ module.exports.findDocs = function (d, n, profiler, cb) { var beg = new Date() , order = getRandomArray(n) ; profiler.step("Finding " + n + " documents"); function runFrom(i) { if (i === n) { // Finished console.log("===== RESULT (find) ===== " + Math.floor(1000* n / profiler.elapsedSinceLastStep()) + " ops/s"); profiler.step('Finished finding ' + n + ' docs'); return cb(); } d.find({ docNumber: order[i] }, function (err, docs) { if (docs.length !== 1 || docs[0].docNumber !== order[i]) { return cb('One find didnt work'); } executeAsap(function () { runFrom(i + 1); }); }); } runFrom(0); }; /** * Find documents with findOne */ module.exports.findOneDocs = function (d, n, profiler, cb) { var beg = new Date() , order = getRandomArray(n) ; profiler.step("FindingOne " + n + " documents"); function runFrom(i) { if (i === n) { // Finished console.log("===== RESULT (findOne) ===== " + Math.floor(1000* n / profiler.elapsedSinceLastStep()) + " ops/s"); profiler.step('Finished finding ' + n + ' docs'); return cb(); } d.findOne({ docNumber: order[i] }, function (err, doc) { if (!doc || doc.docNumber !== order[i]) { return cb('One find didnt work'); } executeAsap(function () { runFrom(i + 1); }); }); } runFrom(0); }; /** * Update documents * options is the same as the options object for update */ module.exports.updateDocs = function (options, d, n, profiler, cb) { var beg = new Date() , order = getRandomArray(n) ; profiler.step("Updating " + n + " documents"); function runFrom(i) { if (i === n) { // Finished console.log("===== RESULT (update) ===== " + Math.floor(1000* n / profiler.elapsedSinceLastStep()) + " ops/s"); profiler.step('Finished updating ' + n + ' docs'); return cb(); } // Will not actually modify the document but will take the same time d.update({ docNumber: order[i] }, { docNumber: order[i] }, options, function (err, nr) { if (err) { return cb(err); } if (nr !== 1) { return cb('One update didnt work'); } executeAsap(function () { runFrom(i + 1); }); }); } runFrom(0); }; /** * Remove documents * options is the same as the options object for update */ module.exports.removeDocs = function (options, d, n, profiler, cb) { var beg = new Date() , order = getRandomArray(n) ; profiler.step("Removing " + n + " documents"); function runFrom(i) { if (i === n) { // Finished console.log("===== RESULT (1 remove + 1 insert) ===== " + Math.floor(1000* n / profiler.elapsedSinceLastStep()) + " ops/s"); console.log("====== IMPORTANT: Please note that this is the time that was needed to perform " + n + " removes and " + n + " inserts"); console.log("====== The extra inserts are needed to keep collection size at " + n + " items for the benchmark to make sense"); console.log("====== Use the insert speed logged above to calculate the actual remove speed, which is higher (should be significantly so if you use indexing)"); profiler.step('Finished removing ' + n + ' docs'); return cb(); } d.remove({ docNumber: order[i] }, options, function (err, nr) { if (err) { return cb(err); } if (nr !== 1) { return cb('One remove didnt work'); } d.insert({ docNumber: order[i] }, function (err) { // We need to reinsert the doc so that we keep the collection's size at n // So actually we're calculating the average time taken by one insert + one remove executeAsap(function () { runFrom(i + 1); }); }); }); } runFrom(0); }; /** * Load database */ module.exports.loadDatabase = function (d, n, profiler, cb) { var beg = new Date() , order = getRandomArray(n) ; profiler.step("Loading the database " + n + " times"); function runFrom(i) { if (i === n) { // Finished console.log("===== RESULT ===== " + Math.floor(1000* n / profiler.elapsedSinceLastStep()) + " ops/s"); profiler.step('Finished loading a database' + n + ' times'); return cb(); } d.loadDatabase(function (err) { executeAsap(function () { runFrom(i + 1); }); }); } runFrom(0); };