test/dataset-performance.html - master - githubmirror/echarts

test/dataset-performance.html
219 строк7 KB
sushuang
**There are these issues existing before this commit:**
19 авг 2021, 23:31
19 авг 2021, 23:31dffeb3a
<!DOCTYPE html>
<!--
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to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
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   http://www.apache.org/licenses/LICENSE-2.0

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software distributed under the License is distributed on an
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specific language governing permissions and limitations
under the License.
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<html>
    <head>
        <meta charset="utf-8">
        <meta name="viewport" content="width=device-width, initial-scale=1" />
        <script src="lib/simpleRequire.js"></script>
        <script src="lib/config.js"></script>
        <script src="lib/jquery.min.js"></script>
        <script src="lib/facePrint.js"></script>
        <script src="lib/testHelper.js"></script>
        <!-- <script src="ut/lib/canteen.js"></script> -->
        <link rel="stylesheet" href="lib/reset.css" />
    </head>
    <body>
        <style>
        </style>



        <div id="main0"></div>
        <div id="main1"></div>






        <script>
        require([
            'echarts',
            // 'map/js/china',
            // './data/nutrients.json'
        ], function (echarts) {
            var option;
            var indexes = Array.from(Array(1000), (_, i) => {
                return `index${i}`
            })
            // var option = {
            //     animation: false,
            //     xAxis: {
            //         type: 'category',
            //         data: Array.from(Array(10), (_, i) => {
            //             return i
            //         })
            //     },
            //     yAxis: {
            //         type: 'value'
            //     },
            //     series: indexes.map(index => {
            //         return {
            //             data: Array.from(Array(10), (_, i) => {
            //                 return Math.random()*100
            //             }),
            //             lineStyle: { width: 0.5 },
            //             showSymbol: false,
            //             type: 'line',
            //         }
            //     })
            // };
            var option = {
                xAxis: {
                    type: 'category',
                },
                yAxis: {
                    type: 'value'
                },
                dataset: {
                    // dimension: ['date', ...indexes],
                    source: Array.from(Array(10), (_, i) => {
                        return {
                            date: i,
                            ...indexes.reduce((item, next) => {
                                item[next] = Math.random()*100
                                return item
                            }, {})
                        }
                    })
                },
                series: indexes.map(index => {
                    return {
                        type: 'line',
                        name: index,
                        animation: false,
                        showSymbol: false,
                        lineStyle: {
                            width: 0.5
                        }
                    }
                })
            };

            var chart = testHelper.create(echarts, 'main0', {
                title: [
                    'Dataset with 1000 dimensions.',
                    'Case from https://github.com/apache/echarts/issues/11907'
                ],
                option: {}
            });

            console.time('render');
            chart.setOption(option)
            console.timeEnd('render');
        });
        </script>

        <script>
            require([
                'echarts',
                // 'map/js/china',
                // './data/nutrients.json'
            ], function (echarts) {
                var option;
                var indexes = Array.from(Array(1000), (_, i) => {
                    return `index${i}`
                })
                // var option = {
                //     animation: false,
                //     xAxis: {
                //         type: 'category',
                //         data: Array.from(Array(10), (_, i) => {
                //             return i
                //         })
                //     },
                //     yAxis: {
                //         type: 'value'
                //     },
                //     series: indexes.map(index => {
                //         return {
                //             data: Array.from(Array(10), (_, i) => {
                //                 return Math.random()*100
                //             }),
                //             lineStyle: { width: 0.5 },
                //             showSymbol: false,
                //             stack: 'main',
                //             type: 'line',
                //         }
                //     })
                // };
                var option = {
                    xAxis: {
                        type: 'category',
                    },
                    yAxis: {
                        type: 'value'
                    },
                    dataset: {
                        // dimension: ['date', ...indexes],
                        source: Array.from(Array(10), (_, i) => {
                            return {
                                date: i,
                                ...indexes.reduce((item, next) => {
                                    item[next] = Math.random()*100
                                    return item
                                }, {})
                            }
                        })
                    },
                    // series: indexes.map(index => {
                    //     return {
                    //         type: 'line',
                    //         name: index,
                    //         animation: false,
                    //         showSymbol: false,
                    //         stack: 'main',
                    //         lineStyle: {
                    //             width: 0.5
                    //         }
                    //     }
                    // })
                    series: indexes.map(index => {
                        return {
                            type: 'line',
                            name: index,
                            animation: false,
                            showSymbol: false,
                            stack: 'main',
                            lineStyle: {
                                width: 0.5
                            }
                        }
                    })
                };

                var chart = testHelper.create(echarts, 'main1', {
                    title: [
                        'Dataset with 1000 dimensions. Stacked'
                    ],
                    option: {}
                });

                console.time('render');
                chart.setOption(option)
                console.timeEnd('render');
            });
            </script>


    </body>
</html>