Initial benchmarks with Benchmark.js

Gruntfile.js

@@ -4,10 +4,21 @@ module.exports = function(grunt) {
 
   grunt.loadNpmTasks('grunt-execute');
   grunt.loadNpmTasks('grunt-contrib-clean');
+  grunt.loadNpmTasks('grunt-benchmark');
 
   grunt.initConfig({
 
-    clean: ["dist"],
+    clean: {
+      dist: {
+        src: ["dist"]
+      },
+      test: {
+        src: ["dist/test"]
+      },
+      tmp: {
+        src: ["tmp"]
+      }
+    },
 
     copy: {
       src_to_dist: {
@@ -40,7 +51,7 @@ module.exports = function(grunt) {
 
     babel: {
       options: {
-        presets:  ["es2015"]
+        presets: ["es2015"]
       },
       dist: {
         options: {
@@ -74,7 +85,15 @@ module.exports = function(grunt) {
           src: ['**/*.js'],
           dest: 'dist/test/specs'
         }]
-      }
+      },
+      distBenchmarks: {
+        files: [{
+          cwd: 'src/datasource-zabbix/benchmarks',
+          expand: true,
+          src: ['**/*.js'],
+          dest: 'dist/test/benchmarks'
+        }]
+      },
     },
 
     mochaTest: {
@@ -122,12 +141,22 @@ module.exports = function(grunt) {
       options: {
         config: ".jscs.json",
       },
+    },
+
+    benchmark: {
+      options: {
+        displayResults: true
+      },
+      timeseriesBench: {
+        src: ['dist/test/datasource-zabbix/benchmarks/*.js'],
+        dest: 'tmp/benchmark.csv'
+      }
     }
 
   });
 
   grunt.registerTask('default', [
-    'clean',
+    'clean:dist',
     'sass',
     'copy:src_to_dist',
     'copy:pluginDef',
@@ -138,7 +167,7 @@ module.exports = function(grunt) {
   ]);
 
   grunt.registerTask('watchTask', [
-    'clean',
+    'clean:dist',
     'sass',
     'copy:src_to_dist',
     'copy:pluginDef',
@@ -146,4 +175,12 @@ module.exports = function(grunt) {
     'jshint',
     'jscs'
   ]);
+
+  grunt.registerTask('bench', [
+    'clean:test',
+    'clean:tmp',
+    'babel:distTestNoSystemJs',
+    'babel:distTestsSpecsNoSystemJs',
+    'benchmark'
+  ]);
 };

dist/datasource-zabbix/benchmarks/timeseries_bench.js

@@ -0,0 +1,12 @@
+import ts from '../timeseries';
+
+let datapoints = [[]];
+
+var fibonacci = function (n) {
+  return n < 2 ? n : fibonacci(n - 1) + fibonacci(n - 2);
+};
+
+module.exports = function () {
+  fibonacci(10);
+  fibonacci(8);
+};

dist/test/datasource-zabbix/benchmarks/timeseries_bench.js

@@ -0,0 +1,40 @@
+'use strict';
+
+var _lodash = require('lodash');
+
+var _lodash2 = _interopRequireDefault(_lodash);
+
+var _timeseries = require('../timeseries');
+
+var _timeseries2 = _interopRequireDefault(_timeseries);
+
+function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
+
+var datapoints = [[10.7104, 1498409636085], [10.578, 1498409651011], [10.5985, 1498409666628], [10.6877, 1498409681525], [10.5495, 1498409696586], [10.5981, 1498409711009], [10.5076, 1498409726949], [11.4807, 1498409741853], [11.6165, 1498409756165], [11.8575, 1498409771018], [11.9936, 1498409786056], [10.7566, 1498409801942], [10.7484, 1498409816010], [10.6038, 1498409831018], [10.2932, 1498409846010], [10.4912, 1498409861946], [10.4151, 1498409876871], [10.2401, 1498409891710], [10.4921, 1498409906143], [10.4413, 1498409921477], [10.6318, 1498409936147], [10.5277, 1498409951915], [10.6333, 1498409966052], [10.6417, 1498409981944], [10.4505, 1498409996867], [10.5812, 1498410011770], [10.4934, 1498410026573], [10.5731, 1498410041317], [10.5, 1498410056213], [10.6505, 1498410071013], [9.4035, 1498410086387]];
+
+var series_set = [[[1.0247, 1498409631773], [0.9988, 1498409646697], [0.9817, 1498409661239], [0.9569, 1498409676045], [1.0331, 1498409691922], [1.0755, 1498409706546], [1.1862, 1498409721525], [1.2984, 1498409736175], [1.2389, 1498409751817], [1.1452, 1498409766783], [1.102, 1498409781699], [0.9647, 1498409796664], [1.0063, 1498409811627], [1.0318, 1498409826887], [1.065, 1498409841645], [1.0907, 1498409856647], [1.0229, 1498409871521], [1.0654, 1498409886031], [1.0568, 1498409901544], [1.0818, 1498409916194], [1.1335, 1498409931672], [1.057, 1498409946673], [1.0243, 1498409961669], [1.0329, 1498409976637], [1.1428, 1498409991563], [1.2198, 1498410006441], [1.2192, 1498410021230], [1.2615, 1498410036027], [1.1765, 1498410051907], [1.2352, 1498410066109], [1.0557, 1498410081043]], [[10.7104, 1498409636085], [10.578, 1498409651011], [10.5985, 1498409666628], [10.6877, 1498409681525], [10.5495, 1498409696586], [10.5981, 1498409711009], [10.5076, 1498409726949], [11.4807, 1498409741853], [11.6165, 1498409756165], [11.8575, 1498409771018], [11.9936, 1498409786056], [10.7566, 1498409801942], [10.7484, 1498409816010], [10.6038, 1498409831018], [10.2932, 1498409846010], [10.4912, 1498409861946], [10.4151, 1498409876871], [10.2401, 1498409891710], [10.4921, 1498409906143], [10.4413, 1498409921477], [10.6318, 1498409936147], [10.5277, 1498409951915], [10.6333, 1498409966052], [10.6417, 1498409981944], [10.4505, 1498409996867], [10.5812, 1498410011770], [10.4934, 1498410026573], [10.5731, 1498410041317], [10.5, 1498410056213], [10.6505, 1498410071013], [9.4035, 1498410086387]]];
+
+module.exports = [{
+  name: 'groupBy',
+  tests: {
+    'groupBy(AVERAGE)': function groupByAVERAGE() {
+      _timeseries2.default.groupBy(datapoints, '5m', _timeseries2.default.AVERAGE);
+    },
+    'groupBy(MAX)': function groupByMAX() {
+      _timeseries2.default.groupBy(datapoints, '5m', _timeseries2.default.COUNT);
+    }
+  }
+}, {
+  name: 'sumSeries',
+  tests: {
+    'sumSeries()': function sumSeries() {
+      _timeseries2.default.sumSeries(series_set);
+    },
+    'groupBy(MAX)->sumSeries()': function groupByMAXSumSeries() {
+      var prepeared_series = _lodash2.default.map(series_set, function (datapoints) {
+        return _timeseries2.default.groupBy(datapoints, '5m', _timeseries2.default.MAX);
+      });
+      _timeseries2.default.sumSeries(prepeared_series);
+    }
+  }
+}];

package.json

@@ -20,9 +20,11 @@
     "babel-plugin-transform-es2015-for-of": "^6.6.0",
     "babel-plugin-transform-es2015-modules-systemjs": "^6.5.0",
     "babel-preset-es2015": "^6.5.0",
+    "benchmark":"^2.1.4",
     "chai": "~3.5.0",
     "grunt": "~0.4.5",
     "grunt-babel": "~6.0.0",
+    "grunt-benchmark": "^1.0.0",
     "grunt-contrib-clean": "~0.6.0",
     "grunt-contrib-copy": "~0.8.2",
     "grunt-contrib-jshint": "^1.0.0",

src/datasource-zabbix/benchmarks/timeseries_bench.js

@@ -0,0 +1,35 @@
+import _ from 'lodash';
+import ts from '../timeseries';
+
+let datapoints = [[10.7104, 1498409636085], [10.578, 1498409651011], [10.5985, 1498409666628], [10.6877, 1498409681525], [10.5495, 1498409696586], [10.5981, 1498409711009], [10.5076, 1498409726949], [11.4807, 1498409741853], [11.6165, 1498409756165], [11.8575, 1498409771018], [11.9936, 1498409786056], [10.7566, 1498409801942], [10.7484, 1498409816010], [10.6038, 1498409831018], [10.2932, 1498409846010], [10.4912, 1498409861946], [10.4151, 1498409876871], [10.2401, 1498409891710], [10.4921, 1498409906143], [10.4413, 1498409921477], [10.6318, 1498409936147], [10.5277, 1498409951915], [10.6333, 1498409966052], [10.6417, 1498409981944], [10.4505, 1498409996867], [10.5812, 1498410011770], [10.4934, 1498410026573], [10.5731, 1498410041317], [10.5, 1498410056213], [10.6505, 1498410071013], [9.4035, 1498410086387]];
+
+let series_set = [
+  [[1.0247, 1498409631773], [0.9988, 1498409646697], [0.9817, 1498409661239], [0.9569, 1498409676045], [1.0331, 1498409691922], [1.0755, 1498409706546], [1.1862, 1498409721525], [1.2984, 1498409736175], [1.2389, 1498409751817], [1.1452, 1498409766783], [1.102, 1498409781699], [0.9647, 1498409796664], [1.0063, 1498409811627], [1.0318, 1498409826887], [1.065, 1498409841645], [1.0907, 1498409856647], [1.0229, 1498409871521], [1.0654, 1498409886031], [1.0568, 1498409901544], [1.0818, 1498409916194], [1.1335, 1498409931672], [1.057, 1498409946673], [1.0243, 1498409961669], [1.0329, 1498409976637], [1.1428, 1498409991563], [1.2198, 1498410006441], [1.2192, 1498410021230], [1.2615, 1498410036027], [1.1765, 1498410051907], [1.2352, 1498410066109], [1.0557, 1498410081043]],
+  [[10.7104, 1498409636085], [10.578, 1498409651011], [10.5985, 1498409666628], [10.6877, 1498409681525], [10.5495, 1498409696586], [10.5981, 1498409711009], [10.5076, 1498409726949], [11.4807, 1498409741853], [11.6165, 1498409756165], [11.8575, 1498409771018], [11.9936, 1498409786056], [10.7566, 1498409801942], [10.7484, 1498409816010], [10.6038, 1498409831018], [10.2932, 1498409846010], [10.4912, 1498409861946], [10.4151, 1498409876871], [10.2401, 1498409891710], [10.4921, 1498409906143], [10.4413, 1498409921477], [10.6318, 1498409936147], [10.5277, 1498409951915], [10.6333, 1498409966052], [10.6417, 1498409981944], [10.4505, 1498409996867], [10.5812, 1498410011770], [10.4934, 1498410026573], [10.5731, 1498410041317], [10.5, 1498410056213], [10.6505, 1498410071013], [9.4035, 1498410086387]]
+];
+
+module.exports = [
+  {
+    name: 'groupBy',
+    tests: {
+      'groupBy(AVERAGE)': () => {
+        ts.groupBy(datapoints, '5m', ts.AVERAGE);
+      },
+      'groupBy(MAX)': () => {
+        ts.groupBy(datapoints, '5m', ts.COUNT);
+      }
+    }
+  },
+  {
+    name: 'sumSeries',
+    tests: {
+      'sumSeries()': () => {
+        ts.sumSeries(series_set);
+      },
+      'groupBy(MAX)->sumSeries()': () => {
+        let prepeared_series = _.map(series_set, datapoints => ts.groupBy(datapoints, '5m', ts.MAX));
+        ts.sumSeries(prepeared_series);
+      }
+    }
+  }
+];