ピボットエンジン:パフォーマンス

PivotEngineは非常に大きなデータセットを要約することができます。データがクライアント側から連結されている場合、要約データは非常に高速に生成できます。要約データは非同期に生成され、ユーザーとの対話を改善します。

以下のサンプルは、さまざまなサイズのデータセット(最大100万個)を読み込むのにかかる時間を示すことによってパフォーマンスを示しています。

何百万ものレコードを含む大量のデータセットを扱う場合は、SSASキューブやComponentOne Data Servicesなどのサーバー側OLAPプロバイダーの使用を検討する必要があります。PivotEngineはどちらにも接続できます。

import 'bootstrap.css'; import '@mescius/wijmo.styles/wijmo.css'; import './styles.css'; import '@mescius/wijmo.touch'; // support drag/drop on touch devices import * as wjOlap from '@mescius/wijmo.olap'; import * as wjCore from '@mescius/wijmo'; import { addData } from './data'; // document.readyState === 'complete' ? init() : window.onload = init; // function init() { // // initialize data sets var ds10 = addData([], 10e3), ds100 = [], ds500 = [], result = document.getElementById('result'), start = 0; // // initialize pivot engine var ng = new wjOlap.PivotEngine({ autoGenerateFields: false, fields: [ { binding: 'date', header: '四半期', format: '\"Q\"q yyyy' }, { binding: 'date', header: '月', format: 'MMMM' }, { binding: 'agent', header: 'エージェント' }, { binding: 'region', header: '地域' }, { binding: 'platform', header: 'プラットフォーム' }, { binding: 'product', header: '商品' }, { binding: 'sales', header: '売上', format: 'c2' }, { binding: 'downloads', header: 'ダウンロード数', format: 'n0' }, { binding: 'revenue', header: '収益', format: 'c2' }, ], itemsSource: ds10, rowFields: ['四半期', '地域'], columnFields: ['プラットフォーム', '商品'], valueFields: ['売上', 'ダウンロード数', '収益'], // // benchmark updatingView: function () { if (start == 0) { start = Date.now(); } }, updatedView: function (s) { var fmt = '<b>{cnt:n0}</b>個の項目を<b>{tm:n0}</b>msで処理しました。'; result.innerHTML = wjCore.format(fmt, { cnt: s.itemsSource.length, tm: Date.now() - start }); start = 0; } }); // // show summary var pivotGrid = new wjOlap.PivotGrid('#pivotGrid', { itemsSource: ng }); // // handle click events to apply different data sources document.getElementById('buttons').addEventListener('click', function (e) { switch (e.target.id) { case '10k': ng.itemsSource = ds10; break; case '100k': ng.itemsSource = ds100; break; case '500k': ng.itemsSource = ds500; break; } }); // // create large data asynchronously createDataAsync(100e3, function (result) { ds100 = result; enableButton('100k'); }); createDataAsync(500e3, function (result) { ds500 = result; enableButton('500k'); }); function enableButton(id) { document.getElementById(id).disabled = false; } // // create data asynchronously function createDataAsync(cnt, callback) { var data = []; addDataAsync(data, cnt, function () { callback(data); }); } function addDataAsync(data, cnt, callback) { setTimeout(function () { addData(data, Math.min(cnt - data.length, 1000)); if (data.length == cnt) { callback(data); } else { addDataAsync(data, cnt, callback); } }); } }
<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <title>MESCIUS Wijmo OLAP Pivot Engine Performance</title> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <!-- SystemJS --> <script src="https://cdnjs.cloudflare.com/ajax/libs/systemjs/0.21.5/system.src.js" integrity="sha512-skZbMyvYdNoZfLmiGn5ii6KmklM82rYX2uWctBhzaXPxJgiv4XBwJnFGr5k8s+6tE1pcR1nuTKghozJHyzMcoA==" crossorigin="anonymous"></script> <script src="systemjs.config.js"></script> <script> System.import('./src/app'); </script> </head> <body> <div class="container-fluid"> <div id="buttons"> <button id="10k" class="btn btn-primary"> 1万個の項目 </button> <button id="100k" class="btn btn-primary" disabled> 10万個の項目 </button> <button id="500k" class="btn btn-primary" disabled> 50万個の項目 </button> </div> <p id="result"> </p> <div class="output"> <div id="pivotGrid"></div> </div> </div> </body> </html>
var products = [ { product: 'Wijmo', platform: 'Web' }, { product: 'ActiveReports', platform: 'Desktop' }, { product: 'ActiveReportsJS', platform: 'Web' }, { product: 'ComponentOne', platform: 'Desktop' }, { product: 'Spread', platform: 'Desktop' }, { product: 'SpreadJS', platform: 'Web' }, { product: 'DSDocs', platform: 'Desktop' } ]; var agents = [ { agent: 'Ashlyn Dunlop', region: 'East' }, { agent: 'Keith Vang', region: 'East' }, { agent: 'Bobbi Rodrigues', region: 'West' }, { agent: 'Charli Medina', region: 'West' }, { agent: 'Kaitlin Salt', region: 'West' }, ]; function randomInt(min, max) { return Math.floor(Math.random() * (max - min + 1) + min); } export function addData(data, cnt) { var year = new Date().getFullYear(); for (var i = 0; i < cnt; i++) { let productIndex = randomInt(0, 6); let agentIndex = randomInt(0, 4); data.push({ orderId: randomInt(1, 10000), platform: products[productIndex].platform, product: products[productIndex].product, agent: agents[agentIndex].agent, region: agents[agentIndex].region, date: new Date(year - randomInt(0, 2), randomInt(0, 11), randomInt(0, 27)), sales: randomInt(1500, 3500), downloads: randomInt(10, 200), revenue: randomInt(500, 1000) }); } return data; }
#buttons { display: flex; margin-bottom: 6px; } #buttons .btn { margin: 6px; white-space: normal; } .output { display: flex; justify-content: center; margin: 6px; } .wj-pivotgrid { width: auto; max-height: 300px; } body { margin-bottom: 36pt; }
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