mirror of
https://github.com/mariadb-corporation/mariadb-connector-nodejs.git
synced 2025-07-25 16:02:44 +00:00
[CONJS-210] benchmark result update with recent driver version
This commit is contained in:
diego Dupin
@ -34,7 +34,10 @@ const createBenchSuite = async (bench) => {
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conn.end();
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}
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console.log(chalk.yellow('bench : ' + bench.title.replace('\n', '')));
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console.log(
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chalk.yellow('## ' + bench.title.replace('<', '').replace('>', '').replace('[', ' - ').replace(']', ''))
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);
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console.log('');
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const suite = new Benchmark.Suite('test');
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suite.add('warmup', {
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@ -54,7 +57,7 @@ const createBenchSuite = async (bench) => {
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}
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suite.on('cycle', function (event) {
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console.log(chalk.grey(' ' + String(event.target)));
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//console.log(chalk.grey(' ' + String(event.target)));
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const type = event.target.name;
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const iteration = 1 / event.target.times.period;
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const variation = event.target.stats.rme;
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@ -103,6 +106,18 @@ const loadsources = async (requiresPool, requireExecute) => {
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}
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sources['mariadb'] = mariadb.createPool(Object.assign({ connectionLimit: 1 }, config));
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}
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if (mysql2) {
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// specific to mysql2:
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// mysql2 use a metadata client parser, filling it like it would be in normal use
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const mysql2Source = sources['mysql2'];
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const wait = [];
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for (let i = 0; i < 15000; i++) {
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wait.push(mysql2Source.query("SELECT 1, 'b', ?", [i]));
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}
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await Promise.all(wait);
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}
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return sources;
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};
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@ -100,18 +100,16 @@ const getImg = (data) => {
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resJson.data.datasets[2].label = 'mariadb ' + mariadbVersion;
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resJson.data.datasets[2].data = [Math.round(data.mariadb)];
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if (data.mysql2 && data.mysql) {
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return encodeURI(
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`https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=${Math.round(
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data.mysql
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)}&data2=${Math.round(data.mysql2)}&data3=${Math.round(data.mariadb)}&title=${data.title}`
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);
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return `https://quickchart.io/chart/render/zm-ef74089a-be91-49f1-b5a0-5b9ac5752435?data1=${Math.round(
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data.mysql
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)}&data2=${Math.round(data.mysql2)}&data3=${Math.round(data.mariadb)}`;
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}
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if (!data.mysql2) resJson.data.datasets.splice(1, 1);
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if (!data.mysql) resJson.data.datasets.splice(0, 1);
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resJson.options.title.text = data.title;
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return encodeURI('https://quickchart.io/chart?devicePixelRatio=1.0&h=160&w=520&c=' + JSON.stringify(resJson));
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if (data.mysql2) {
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return `https://quickchart.io/chart/render/zm-36b213f4-8efe-4943-8f94-82edf94fce83?data1=${Math.round(
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data.mysql2
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)}&data2=${Math.round(data.mariadb)}`;
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}
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return '';
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};
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//************************************************
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@ -147,11 +145,13 @@ module.exports.displayReport = function (data, title, displaySql) {
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//display results
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// log image comparison link
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const res = { title: title + ' - ' + displaySql };
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const res = { title: title };
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for (let j = 0; j < data.length; j++) {
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res[data[j].type] = data[j].iteration;
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}
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console.log(' => ' + getImg(res));
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console.log('```');
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console.log(title);
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for (let j = 0; j < data.length; j++) {
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let o = data[j];
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@ -175,6 +175,8 @@ module.exports.displayReport = function (data, title, displaySql) {
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console.log(tt);
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}
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}
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console.log('```');
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console.log(`})`);
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console.log('');
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};
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@ -1,182 +1,123 @@
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# Benchmark
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root@ubuntu-g-4vcpu-16gb-fra1-01-client:~/mariadb-connector-nodejs# npm run benchmark
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Benchmarks for the MariaDB Node.js Connector are done using the [benchmark](https://www.npmjs.com/package/benchmark) package. You can find the source code for our benchmarks in the [`benchmarks/`](../benchmarks) folder.
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You can run benchmarks using npm. To run it on the `mariadb` Connector only, use the following command:
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```
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$ npm run benchmark
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```
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Npm runs a series on the MariaDB Server then returns the execution times.
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While this may give you a rough idea of how it performs, it's better to compare to other MySQL connector packages, like [mysql](https://www.npmjs.com/package/mysql) and [mysql2](https://www.npmjs.com/package/mysql2) packages.
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The [mysql](https://www.npmjs.com/package/mysql) package doesn't implement Promise, so using use the [promise-mysql](https://www.npmjs.com/package/promise-mysql) package.
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run the benchmarks:
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```
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$ npm install mysql mysql2 promise-mysql
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$ npm run benchmark
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```
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## Results
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Benchmarks runs on two Digital Ocean hosts with 8GB of memory and 4 CPU's, running Ubuntu 20.04.
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* **Server Host**: MariaDB 10.6 under the default configuration, just commenting bind-address to permit access from other server.
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* **Client Host**: Node.js version v16.5.0
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(change the ./test/conf.js to set connection information)
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The MariaDB Node.js Connector was then tested along side the following MySQL connectors:
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* [**mysql**](https://www.npmjs.com/package/mysql): version 2.18.1
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* [**mysql2**](https://www.npmjs.com/package/mysql2): version 2.2.5
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* [**promise-mysql**](https://www.npmjs.com/package/promise-mysql): version 5.0.3
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benchmarks runs the same command 10 different threads (each one having a dedicated connection).
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```
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> mariadb@3.0.1-rc benchmark
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> node ./benchmarks/benchmarks.js
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> mariadb@3.0.1 benchmark
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> node benchmarks/benchmarks-all.js
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{
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connectionLimit: 1,
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user: 'diego',
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password: 'diego',
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database: 'testn',
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host: '161.35.216.219',
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connectTimeout: 1000,
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port: 3306,
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charsetNumber: 45,
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trace: false
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user: 'diego',
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database: 'testn',
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host: '142.93.168.228',
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connectTimeout: 2000,
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port: 3306,
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charsetNumber: 45,
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trace: false
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}
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benchmark: ./benchs/do.js
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benchmark: ./benchs/insert.js
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benchmark: ./benchs/insert_batch.js
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benchmark: ./benchs/insert_pipelining.js
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benchmark: ./benchs/select_1000_rows.js
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benchmark: ./benchs/select_int_varchar.js
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benchmark: ./benchs/select_one_user_execute.js
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benchmark: ./benchs/select_one_user_pool.js
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benchmark: ./benchs/select_one_user_pool_random.js
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benchmark: ./benchs/select_random_param.js
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driver for MYSQL2 connected [1/3]
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driver for MARIADB connected [2/3]
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driver for MYSQL connected [3/3]
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start : init test : 10
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initializing test data 1/10
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initializing test data 2/10
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initializing test data 3/10
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initializing test data 4/10
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initializing test data 5/10
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initializing test data 6/10
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initializing test data 7/10
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initializing test data 8/10
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initializing test data 9/10
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initializing test data 10/10
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initializing test data done
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simultaneous call: 1
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do <random number> - warmup x 5,015 ops/sec ±0.87% (280 runs sampled)
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do <random number> - mysql x 4,826 ops/sec ±1.06% (280 runs sampled)
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do <random number> - mysql2 x 4,174 ops/sec ±0.86% (278 runs sampled)
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do <random number> - mariadb x 5,009 ops/sec ±0.45% (279 runs sampled)
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insert 10 parameters of 100 characters - warmup x 3,928 ops/sec ±0.53% (282 runs sampled)
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insert 10 parameters of 100 characters - mysql x 3,614 ops/sec ±0.62% (280 runs sampled)
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insert 10 parameters of 100 characters - mysql2 x 3,475 ops/sec ±0.59% (283 runs sampled)
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insert 10 parameters of 100 characters - mariadb x 3,968 ops/sec ±0.53% (282 runs sampled)
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100 * insert 100 characters using batch method (for mariadb) or loop for other driver (batch doesn't exists) - warmup x 2,454 ops/sec ±0.85% (278 runs sampled)
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100 * insert 100 characters using batch method (for mariadb) or loop for other driver (batch doesn't exists) - mysql x 47.09 ops/sec ±0.46% (270 runs sampled)
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100 * insert 100 characters using batch method (for mariadb) or loop for other driver (batch doesn't exists) - mysql2 x 44.32 ops/sec ±0.43% (267 runs sampled)
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100 * insert 100 characters using batch method (for mariadb) or loop for other driver (batch doesn't exists) - mariadb x 2,449 ops/sec ±0.81% (277 runs sampled)
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insert 100 characters pipelining - warmup x 4,502 ops/sec ±0.46% (281 runs sampled)
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insert 100 characters pipelining - mysql x 4,136 ops/sec ±0.66% (279 runs sampled)
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insert 100 characters pipelining - mysql2 x 3,923 ops/sec ±0.65% (279 runs sampled)
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insert 100 characters pipelining - mariadb x 4,445 ops/sec ±0.50% (281 runs sampled)
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select collations - warmup x 1,037 ops/sec ±0.60% (280 runs sampled)
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select collations - mysql x 829 ops/sec ±0.62% (280 runs sampled)
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select collations - mysql2 x 988 ops/sec ±0.55% (280 runs sampled)
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select collations - mariadb x 1,059 ops/sec ±0.43% (280 runs sampled)
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select one mysql.user - warmup x 1,594 ops/sec ±0.42% (282 runs sampled)
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select one mysql.user - mysql x 1,442 ops/sec ±0.38% (283 runs sampled)
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select one mysql.user - mysql2 x 1,484 ops/sec ±0.60% (282 runs sampled)
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select one mysql.user - mariadb x 1,595 ops/sec ±0.38% (284 runs sampled)
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select one mysql.user using execute - warmup x 2,657 ops/sec ±0.60% (278 runs sampled)
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select one mysql.user using execute - mysql2 x 2,257 ops/sec ±0.84% (280 runs sampled)
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select one mysql.user using execute - mariadb x 2,651 ops/sec ±0.59% (280 runs sampled)
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select one mysql.user using pool - warmup x 1,567 ops/sec ±0.34% (283 runs sampled)
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select one mysql.user using pool - mysql x 1,061 ops/sec ±0.54% (283 runs sampled)
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select one mysql.user using pool - mysql2 x 1,513 ops/sec ±0.33% (284 runs sampled)
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select one mysql.user using pool - mariadb x 1,571 ops/sec ±0.36% (282 runs sampled)
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select one mysql.user and a random number [no caching client side] - warmup x 1,539 ops/sec ±0.35% (282 runs sampled)
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select one mysql.user and a random number [no caching client side] - mysql x 1,058 ops/sec ±0.52% (282 runs sampled)
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select one mysql.user and a random number [no caching client side] - mysql2 x 716 ops/sec ±1.39% (272 runs sampled)
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select one mysql.user and a random number [no caching client side] - mariadb x 1,555 ops/sec ±0.47% (282 runs sampled)
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select random number - warmup x 4,686 ops/sec ±0.47% (280 runs sampled)
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select random number - mysql x 4,548 ops/sec ±0.75% (282 runs sampled)
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select random number - mysql2 x 4,118 ops/sec ±0.68% (278 runs sampled)
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select random number - mariadb x 4,799 ops/sec ±0.48% (277 runs sampled)
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completed
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ending connectors
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## do random number
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--- BENCHMARK RESULTS ---
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/* travis bench are not to take as is, because VM might run some other testing script that can change results */
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bench : do <random number> [ sql: do ? ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=4826&data2=4174&data3=5009&title=do%20%3Crandom%20number%3E%0A%20%5B%20sql%3A%20do%20%3F%20%5D
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mysql : 4,826.5 ops/s ±1.060698947072533%
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mysql2 : 4,174.5 ops/s ±0.8572946461820163% ( -13.5% )
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mariadb : 5,009.2 ops/s ±0.44937002966145695% ( +3.8% )
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bench : insert 10 parameters of 100 characters [ sql: INSERT INTO perfTestText VALUES (?, ?, ?, ?, ?,?, ?, ?, ?, ?) ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=3614&data2=3475&data3=3968&title=insert%2010%20parameters%20of%20100%20characters%0A%20%5B%20sql%3A%20INSERT%20INTO%20perfTestText%20VALUES%20(%3F%2C%20%3F%2C%20%3F%2C%20%3F%2C%20%3F%2C%3F%2C%20%3F%2C%20%3F%2C%20%3F%2C%20%3F)%20%5D
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mysql : 3,613.9 ops/s ±0.6172578026313225%
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mysql2 : 3,474.8 ops/s ±0.5867082905425197% ( -3.8% )
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mariadb : 3,968 ops/s ±0.5274504652838073% ( +9.8% )
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bench : 100 * insert 100 characters using batch method (for mariadb) or loop for other driver (batch doesn't exists) [ sql: INSERT INTO perfTestTextPipe VALUES (?) ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=47&data2=44&data3=2449&title=100%20*%20insert%20100%20characters%20using%20batch%20method%20(for%20mariadb)%20or%20loop%20for%20other%20driver%20(batch%20doesn't%20exists)%0A%20%5B%20sql%3A%20INSERT%20INTO%20perfTestTextPipe%20VALUES%20(%3F)%20%5D
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mysql : 47.1 ops/s ±0.4627803707830262%
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mysql2 : 44.3 ops/s ±0.4324249604479694% ( -5.9% )
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mariadb : 2,449.5 ops/s ±0.814944113755422% ( +5,101.9% )
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bench : insert 100 characters pipelining [ sql: INSERT INTO testn.perfTestTextPipe VALUES (?) (into BLACKHOLE ENGINE) ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=4136&data2=3923&data3=4445&title=insert%20100%20characters%20pipelining%0A%20%5B%20sql%3A%20INSERT%20INTO%20testn.perfTestTextPipe%20VALUES%20(%3F)%20(into%20BLACKHOLE%20ENGINE)%20%5D
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mysql : 4,135.5 ops/s ±0.6574825949230209%
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mysql2 : 3,922.8 ops/s ±0.6491799554930316% ( -5.1% )
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mariadb : 4,444.7 ops/s ±0.4976959542616146% ( +7.5% )
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bench : select collations [ sql: select * from information_schema.COLLATIONS ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=829&data2=988&data3=1059&title=select%20collations%0A%20%5B%20sql%3A%20select%20*%20from%20information_schema.COLLATIONS%20%5D
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mysql : 829 ops/s ±0.6181156533952505%
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mysql2 : 987.8 ops/s ±0.5538432695037021% ( +19.2% )
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mariadb : 1,058.8 ops/s ±0.4250619523095728% ( +27.7% )
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bench : select one mysql.user [ sql: select * from mysql.user LIMIT 1 ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=1442&data2=1484&data3=1595&title=select%20one%20mysql.user%0A%20%5B%20sql%3A%20select%20*%20from%20mysql.user%20LIMIT%201%20%5D
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mysql : 1,442.2 ops/s ±0.37614639649897263%
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mysql2 : 1,484.2 ops/s ±0.5998685712345835% ( +2.9% )
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mariadb : 1,595.1 ops/s ±0.3849617561628671% ( +10.6% )
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bench : select one mysql.user using execute [ sql: select * from mysql.user LIMIT 1 ] https://quickchart.io/chart?devicePixelRatio=1.0&h=160&w=520&c=%7B%22type%22%3A%22horizontalBar%22%2C%22data%22%3A%7B%22datasets%22%3A%5B%7B%22label%22%3A%22mysql2%202.2.5%22%2C%22backgroundColor%22%3A%22%234285f4%22%2C%22data%22%3A%5B2257%5D%7D%2C%7B%22label%22%3A%22mariadb%203.0.1-beta%22%2C%22backgroundColor%22%3A%22%23ff9900%22%2C%22data%22%3A%5B2651%5D%7D%5D%7D%2C%22options%22%3A%7B%22plugins%22%3A%7B%22datalabels%22%3A%7B%22anchor%22%3A%22end%22%2C%22align%22%3A%22start%22%2C%22color%22%3A%22%23fff%22%2C%22font%22%3A%7B%22weight%22%3A%22bold%22%7D%7D%7D%2C%22elements%22%3A%7B%22rectangle%22%3A%7B%22borderWidth%22%3A0%7D%7D%2C%22responsive%22%3Atrue%2C%22legend%22%3A%7B%22position%22%3A%22right%22%7D%2C%22title%22%3A%7B%22display%22%3Atrue%2C%22text%22%3A%22select%20one%20mysql.user%20using%20execute%5Cn%20%5B%20sql%3A%20select%20*%20from%20mysql.user%20LIMIT%201%20%5D%22%7D%2C%22scales%22%3A%7B%22xAxes%22%3A%5B%7B%22display%22%3Atrue%2C%22scaleLabel%22%3A%7B%22display%22%3Atrue%2C%22labelString%22%3A%22operations%20per%20second%22%7D%2C%22ticks%22%3A%7B%22beginAtZero%22%3Atrue%7D%7D%5D%7D%7D%7D
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mysql2 : 2,257.5 ops/s ±0.8423274738148211%
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mariadb : 2,650.7 ops/s ±0.5922932275214716% ( +17.4% )
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bench : select one mysql.user using pool [ sql: select * from mysql.user u LIMIT 1 ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=1061&data2=1513&data3=1571&title=select%20one%20mysql.user%20using%20pool%0A%20%5B%20sql%3A%20select%20*%20from%20mysql.user%20u%20LIMIT%201%20%5D
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mysql : 1,061.3 ops/s ±0.5373874147514515%
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mysql2 : 1,513.1 ops/s ±0.3348213776238588% ( +42.6% )
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mariadb : 1,571.2 ops/s ±0.3601534936799862% ( +48% )
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bench : select one mysql.user and a random number [no caching client side] [ sql: select u.*, <random field> from mysql.user u LIMIT 1 ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=1058&data2=716&data3=1555&title=select%20one%20mysql.user%20and%20a%20random%20number%20%5Bno%20caching%20client%20side%5D%0A%20%5B%20sql%3A%20select%20u.*%2C%20%3Crandom%20field%3E%20from%20mysql.user%20u%20LIMIT%201%20%5D
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mysql : 1,057.9 ops/s ±0.5235992573043083%
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mysql2 : 716.2 ops/s ±1.3874227341785241% ( -32.3% )
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mariadb : 1,554.9 ops/s ±0.46943312558064343% ( +47% )
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||||
|
||||
bench : select random number [ sql: select ? ] https://quickchart.io/chart/render/zm-e2bd7f00-c7ca-4412-84e5-5284055056b5?data1=4548&data2=4118&data3=4799&title=select%20random%20number%0A%20%5B%20sql%3A%20select%20%3F%20%5D
|
||||
mysql : 4,548.3 ops/s ±0.7496701832585163%
|
||||
mysql2 : 4,117.6 ops/s ±0.6752547536332124% ( -9.5% )
|
||||
mariadb : 4,799.1 ops/s ±0.4754299734491277% ( +5.5% )
|
||||
```
|
||||
do <random number>
|
||||
mysql : 6,248.4 ops/s ± 1%
|
||||
mysql2 : 5,197.6 ops/s ± 0.6% ( -16.8% )
|
||||
mariadb : 7,304.7 ops/s ± 0.8% ( +16.9% )
|
||||
```
|
||||
|
||||
|
||||
Note, the [mysql2](https://www.npmjs.com/package/mysql2) package uses metadata client caching, so queries with metadata in cache are faster than new queries.
|
||||
## do random number with pool
|
||||
|
||||
```
|
||||
do <random number> with pool
|
||||
mysql : 6,081.7 ops/s ± 0.8%
|
||||
mysql2 : 5,414.8 ops/s ± 0.7% ( -11% )
|
||||
mariadb : 6,926.7 ops/s ± 0.5% ( +13.9% )
|
||||
```
|
||||
|
||||
|
||||
## insert 10 parameters of 100 characters
|
||||
|
||||
```
|
||||
insert 10 parameters of 100 characters
|
||||
mysql : 3,396.8 ops/s ± 1.1%
|
||||
mysql2 : 2,883.7 ops/s ± 0.8% ( -15.1% )
|
||||
mariadb : 3,474.2 ops/s ± 0.7% ( +2.3% )
|
||||
```
|
||||
|
||||
|
||||
## 100 * insert 100 characters using batch method (for mariadb) or loop for other driver (batch doesn't exists)
|
||||
|
||||
```
|
||||
100 * insert 100 characters using batch method (for mariadb) or loop for other driver (batch doesn't exists)
|
||||
mysql : 53.6 ops/s ± 0.9%
|
||||
mysql2 : 54.2 ops/s ± 1% ( +1% )
|
||||
mariadb : 2,536.6 ops/s ± 2.3% ( +4,630.1% )
|
||||
```
|
||||
|
||||
|
||||
## 3 * insert 100 characters pipelining benchmark results
|
||||
|
||||
```
|
||||
3 * insert 100 characters pipelining
|
||||
mysql : 1,987.6 ops/s ± 0.6%
|
||||
mysql2 : 1,980.1 ops/s ± 0.8% ( -0.4% )
|
||||
mariadb : 3,451.1 ops/s ± 2.6% ( +73.6% )
|
||||
```
|
||||
|
||||
|
||||
## select 1000 rows
|
||||
|
||||
```
|
||||
select 1000 rows
|
||||
mysql : 915.3 ops/s ± 0.4%
|
||||
mysql2 : 1,138.5 ops/s ± 1.8% ( +24.4% )
|
||||
mariadb : 1,424.9 ops/s ± 0.2% ( +55.7% )
|
||||
```
|
||||
|
||||
|
||||
## select 20 * int, 20 * varchar(32)
|
||||
|
||||
```
|
||||
select 20 * int, 20 * varchar(32)
|
||||
mysql : 3,086 ops/s ± 0.6%
|
||||
mysql2 : 2,799.6 ops/s ± 1.6% ( -9.3% )
|
||||
mariadb : 4,710.8 ops/s ± 1% ( +52.7% )
|
||||
```
|
||||
|
||||
|
||||
## select 20 * int, 20 * varchar(32) using execute
|
||||
|
||||
```
|
||||
select 20 * int, 20 * varchar(32) using execute
|
||||
mysql2 : 2,998 ops/s ± 1.3%
|
||||
mariadb : 4,419.6 ops/s ± 1% ( +47.4% )
|
||||
```
|
||||
|
||||
|
||||
## select 20 * int, 20 * varchar(32) using pool
|
||||
|
||||
```
|
||||
select 20 * int, 20 * varchar(32) using pool
|
||||
mysql : 2,063.7 ops/s ± 0.9%
|
||||
mysql2 : 2,820 ops/s ± 1.8% ( +36.6% )
|
||||
mariadb : 4,381 ops/s ± 1.2% ( +112.3% )
|
||||
```
|
||||
|
||||
|
||||
## select 20 * int, 20 * varchar(32) and a random number - no caching client side
|
||||
|
||||
```
|
||||
select 20 * int, 20 * varchar(32) and a random number [no caching client side]
|
||||
mysql : 1,733.6 ops/s ± 0.5%
|
||||
mysql2 : 1,053.2 ops/s ± 2.8% ( -39.2% )
|
||||
mariadb : 3,006.9 ops/s ± 0.5% ( +73.4% )
|
||||
```
|
||||
![select 20 * int, 20 * varchar(32) and a random number [no caching client side] benchmark results](https://quickchart.io/chart/render/zm-ef74089a-be91-49f1-b5a0-5b9ac5752435?data1=1734&data2=1053&data3=3007)
|
||||
|
||||
## select random number
|
||||
|
||||
```
|
||||
select random number
|
||||
mysql : 5,315.2 ops/s ± 0.6%
|
||||
mysql2 : 5,085.3 ops/s ± 0.8% ( -4.3% )
|
||||
mariadb : 6,505.2 ops/s ± 2.3% ( +22.4% )
|
||||
```
|
||||
|
||||
|
||||
<!--https://quickchart.io/sandbox/#%7B%0A%20%20%22type%22%3A%20%22horizontalBar%22%2C%0A%20%20%0A%20%20data%3A%20%7B%0A%20%20%20%20datasets%3A%20%5B%0A%20%20%20%20%20%20%7B%0A%20%20%20%20%20%20%20%20label%3A%20%22mysql%202.18.1%22%2C%0A%20%20%20%20%20%20%20%20backgroundColor%3A%20%22%23db4437%22%2C%0A%20%20%20%20%20%20%20%20borderColor%3A%20%22rgb(255%2C%2099%2C%20132)%22%2C%0A%20%20%20%20%20%20%20%20data%3A%20%5B320%5D%0A%20%20%20%20%20%20%7D%2C%0A%20%20%20%20%20%20%7B%0A%20%20%20%20%20%20%20%20label%3A%20%22mysql2%202.2.5%22%2C%0A%20%20%20%20%20%20%20%20backgroundColor%3A%20%22%234285f4%22%2C%0A%20%20%20%20%20%20%20%20borderColor%3A%20%22rgb(54%2C%20162%2C%20235)%22%2C%0A%20%20%20%20%20%20%20%20data%3A%20%5B450%5D%0A%20%20%20%20%20%20%7D%2C%0A%20%20%20%20%20%20%7B%0A%20%20%20%20%20%20%20%20%22label%22%3A%20%22mariadb%203.0.1%22%2C%0A%20%20%20%20%20%20%20%20%22backgroundColor%22%3A%20%22%23ff9900%22%2C%0A%20%20%20%20%20%20%20%20%22borderColor%22%3A%20%22%23ff9900%22%2C%0A%20%20%20%20%20%20%20%20%22data%22%3A%20%5B%0A%20%20%20%20%20%20%20%20%20%20660%0A%20%20%20%20%20%20%20%20%5D%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%5D%0A%20%20%7D%2C%0A%20%20%22options%22%3A%20%7B%0A%20%20%20%20plugins%3A%20%7B%0A%20%20%20%20%20%20datalabels%3A%20%7B%0A%20%20%20%20%20%20%20%20anchor%3A%20'end'%2C%0A%20%20%20%20%20%20%20%20align%3A%20'start'%2C%0A%20%20%20%20%20%20%20%20color%3A%20'%23fff'%2C%0A%20%20%20%20%20%20%20%20font%3A%20%7B%0A%20%20%20%20%20%20%20%20%20%20weight%3A%20'bold'%2C%0A%20%20%20%20%20%20%20%20%7D%2C%0A%20%20%20%20%20%20%7D%2C%0A%20%20%20%20%7D%2C%0A%20%20%20%20%22elements%22%3A%20%7B%0A%20%20%20%20%20%20%22rectangle%22%3A%20%7B%0A%20%20%20%20%20%20%20%20%22borderWidth%22%3A%200%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%7D%2C%0A%20%20%20%20%22responsive%22%3A%20true%2C%0A%20%20%20%20%22legend%22%3A%20%7B%0A%20%20%20%20%20%20%22position%22%3A%20%22right%22%0A%20%20%20%20%7D%2C%0A%20%20%20%20%22title%22%3A%20%7B%0A%20%20%20%20%20%20%22display%22%3A%20true%2C%0A%20%20%20%20%20%20%22text%22%3A%20%22Select%20*%20from%20mysql%20user%20limit%201%22%0A%20%20%20%20%7D%2C%0A%20%20%20%20scales%3A%20%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20xAxes%3A%20%5B%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20display%3A%20true%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20scaleLabel%3A%20%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20display%3A%20true%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20labelString%3A%20'operations%20per%20second'%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%7D%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20ticks%3A%20%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20beginAtZero%3A%20true%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20%20%20%20%20%7D%5D%0A%20%20%20%20%20%20%20%20%7D%0A%0A%20%20%7D%0A%7D-->
|
||||
|
||||
Reference in New Issue
Block a user