The JavaScript Database, for Node.js, nw.js, electron and the browser
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nedb/benchmarks/commonUtilities.js

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/**
* 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 };
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};
/**
* 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)
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;
profiler.step('Begin inserting ' + n + ' docs');
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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 () {
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runFrom(i + 1);
});
});
}
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runFrom(0);
};
/**
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* Find documents with find
*/
module.exports.findDocs = function (d, n, profiler, cb) {
var beg = new Date()
, order = getRandomArray(n)
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;
profiler.step("Finding " + n + " documents");
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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 () {
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runFrom(i + 1);
});
});
}
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runFrom(0);
};
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/**
* 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");
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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 () {
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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);
};