流量分析系统----实现-echarts模拟迁移(bmap.js/china.js)
china.js:
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<!-- 引入 jquery -->
<script src="js/jquery-1.8.3.min.js"></script>
<!-- 引入 ECharts 文件 -->
<script src="echarts.js"></script>
<!-- 引入地图 -->
<script src="china.js"></script> </head>
<body>
<!-- 为 ECharts 准备一个具备大小（宽高）的 DOM -->
<div id="main" style="width: 600px;height:400px;"></div> <!-- 下面的script脚本，其实也可以写成一个js，然后引入近来，但这里就不这样做了 -->
<script type="text/javascript">
// 基于准备好的dom，初始化echarts实例，
// 这句和最后一句，都是必须的。只是中间部分改变了。根据官网教程来的
var myChart = echarts.init(document.getElementById('main')); //中间部分，就是最上面第一张图，官网示例的代码复制写到这里
//模拟迁徙 ： http://echarts.baidu.com/demo.html#geo-lines
var geoCoordMap = {
'上海': [121.4648,31.2891],
'东莞': [113.8953,22.901],
'东营': [118.7073,37.5513],
'中山': [113.4229,22.478],
'临汾': [111.4783,36.1615],
'临沂': [118.3118,35.2936],
'丹东': [124.541,40.4242],
'丽水': [119.5642,28.1854],
'乌鲁木齐': [87.9236,43.5883],
'佛山': [112.8955,23.1097],
'保定': [115.0488,39.0948],
'兰州': [103.5901,36.3043],
'包头': [110.3467,41.4899],
'北京': [116.4551,40.2539],
'北海': [109.314,21.6211],
'南京': [118.8062,31.9208],
'南宁': [108.479,23.1152],
'南昌': [116.0046,28.6633],
'南通': [121.1023,32.1625],
'厦门': [118.1689,24.6478],
'台州': [121.1353,28.6688],
'合肥': [117.29,32.0581],
'呼和浩特': [111.4124,40.4901],
'咸阳': [108.4131,34.8706],
'哈尔滨': [127.9688,45.368],
'唐山': [118.4766,39.6826],
'嘉兴': [120.9155,30.6354],
'大同': [113.7854,39.8035],
'大连': [122.2229,39.4409],
'天津': [117.4219,39.4189],
'太原': [112.3352,37.9413],
'威海': [121.9482,37.1393],
'宁波': [121.5967,29.6466],
'宝鸡': [107.1826,34.3433],
'宿迁': [118.5535,33.7775],
'常州': [119.4543,31.5582],
'广州': [113.5107,23.2196],
'廊坊': [116.521,39.0509],
'延安': [109.1052,36.4252],
'张家口': [115.1477,40.8527],
'徐州': [117.5208,34.3268],
'德州': [116.6858,37.2107],
'惠州': [114.6204,23.1647],
'成都': [103.9526,30.7617],
'扬州': [119.4653,32.8162],
'承德': [117.5757,41.4075],
'拉萨': [91.1865,30.1465],
'无锡': [120.3442,31.5527],
'日照': [119.2786,35.5023],
'昆明': [102.9199,25.4663],
'杭州': [119.5313,29.8773],
'枣庄': [117.323,34.8926],
'柳州': [109.3799,24.9774],
'株洲': [113.5327,27.0319],
'武汉': [114.3896,30.6628],
'汕头': [117.1692,23.3405],
'江门': [112.6318,22.1484],
'沈阳': [123.1238,42.1216],
'沧州': [116.8286,38.2104],
'河源': [114.917,23.9722],
'泉州': [118.3228,25.1147],
'泰安': [117.0264,36.0516],
'泰州': [120.0586,32.5525],
'济南': [117.1582,36.8701],
'济宁': [116.8286,35.3375],
'海口': [110.3893,19.8516],
'淄博': [118.0371,36.6064],
'淮安': [118.927,33.4039],
'深圳': [114.5435,22.5439],
'清远': [112.9175,24.3292],
'温州': [120.498,27.8119],
'渭南': [109.7864,35.0299],
'湖州': [119.8608,30.7782],
'湘潭': [112.5439,27.7075],
'滨州': [117.8174,37.4963],
'潍坊': [119.0918,36.524],
'烟台': [120.7397,37.5128],
'玉溪': [101.9312,23.8898],
'珠海': [113.7305,22.1155],
'盐城': [120.2234,33.5577],
'盘锦': [121.9482,41.0449],
'石家庄': [114.4995,38.1006],
'福州': [119.4543,25.9222],
'秦皇岛': [119.2126,40.0232],
'绍兴': [120.564,29.7565],
'聊城': [115.9167,36.4032],
'肇庆': [112.1265,23.5822],
'舟山': [122.2559,30.2234],
'苏州': [120.6519,31.3989],
'莱芜': [117.6526,36.2714],
'菏泽': [115.6201,35.2057],
'营口': [122.4316,40.4297],
'葫芦岛': [120.1575,40.578],
'衡水': [115.8838,37.7161],
'衢州': [118.6853,28.8666],
'西宁': [101.4038,36.8207],
'西安': [109.1162,34.2004],
'贵阳': [106.6992,26.7682],
'连云港': [119.1248,34.552],
'邢台': [114.8071,37.2821],
'邯郸': [114.4775,36.535],
'郑州': [113.4668,34.6234],
'鄂尔多斯': [108.9734,39.2487],
'重庆': [107.7539,30.1904],
'金华': [120.0037,29.1028],
'铜川': [109.0393,35.1947],
'银川': [106.3586,38.1775],
'镇江': [119.4763,31.9702],
'长春': [125.8154,44.2584],
'长沙': [113.0823,28.2568],
'长治': [112.8625,36.4746],
'阳泉': [113.4778,38.0951],
'青岛': [120.4651,36.3373],
'韶关': [113.7964,24.7028]
}; var BJData = [
[{name:'北京'}, {name:'上海',value:95}],
[{name:'北京'}, {name:'广州',value:90}],
[{name:'北京'}, {name:'大连',value:80}],
[{name:'北京'}, {name:'南宁',value:70}],
[{name:'北京'}, {name:'南昌',value:60}],
[{name:'北京'}, {name:'拉萨',value:50}],
[{name:'北京'}, {name:'长春',value:40}],
[{name:'北京'}, {name:'包头',value:30}],
[{name:'北京'}, {name:'重庆',value:20}],
[{name:'北京'}, {name:'常州',value:10}]
]; var SHData = [
[{name:'上海'},{name:'包头',value:95}],
[{name:'上海'},{name:'昆明',value:90}],
[{name:'上海'},{name:'广州',value:80}],
[{name:'上海'},{name:'郑州',value:70}],
[{name:'上海'},{name:'长春',value:60}],
[{name:'上海'},{name:'重庆',value:50}],
[{name:'上海'},{name:'长沙',value:40}],
[{name:'上海'},{name:'北京',value:30}],
[{name:'上海'},{name:'丹东',value:20}],
[{name:'上海'},{name:'大连',value:10}]
]; var GZData = [
[{name:'广州'},{name:'福州',value:95}],
[{name:'广州'},{name:'太原',value:90}],
[{name:'广州'},{name:'长春',value:80}],
[{name:'广州'},{name:'重庆',value:70}],
[{name:'广州'},{name:'西安',value:60}],
[{name:'广州'},{name:'成都',value:50}],
[{name:'广州'},{name:'常州',value:40}],
[{name:'广州'},{name:'北京',value:30}],
[{name:'广州'},{name:'北海',value:20}],
[{name:'广州'},{name:'海口',value:10}]
]; var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z'; var convertData = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var dataItem = data[i];
var fromCoord = geoCoordMap[dataItem[0].name];
var toCoord = geoCoordMap[dataItem[1].name];
if (fromCoord && toCoord) {
res.push({
fromName: dataItem[0].name,
toName: dataItem[1].name,
coords: [fromCoord, toCoord]
});
}
}
return res;
}; var color = ['#a6c84c', '#ffa022', '#46bee9'];
var series = [];
[['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
series.push({
name: item[0] + ' Top10',
type: 'lines',
zlevel: 1,
effect: {
show: true,
period: 6,
trailLength: 0.7,
color: '#fff',
symbolSize: 3
},
lineStyle: {
normal: {
color: color[i],
width: 0,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + ' Top10',
type: 'lines',
zlevel: 2,
symbol: ['none', 'arrow'],
symbolSize: 10,
effect: {
show: true,
period: 6,
trailLength: 0,
symbol: planePath,
symbolSize: 15
},
lineStyle: {
normal: {
color: color[i],
width: 1,
opacity: 0.6,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + ' Top10',
type: 'effectScatter',
coordinateSystem: 'geo',
zlevel: 2,
rippleEffect: {
brushType: 'stroke'
},
label: {
normal: {
show: true,
position: 'right',
formatter: '{b}'
}
},
symbolSize: function (val) {
return val[2] / 8;
},
itemStyle: {
normal: {
color: color[i]
}
},
data: item[1].map(function (dataItem) {
return {
name: dataItem[1].name,
value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
};
})
});
}); option = {
backgroundColor: '#404a59',
title : {
text: '模拟迁徙',
subtext: '数据纯属虚构',
left: 'center',
textStyle : {
color: '#fff'
}
},
tooltip : {
trigger: 'item'
},
legend: {
orient: 'vertical',
top: 'bottom',
left: 'right',
data:['北京 Top10', '上海 Top10', '广州 Top10'],
textStyle: {
color: '#fff'
},
selectedMode: 'single'
},
geo: {
map: 'china',
label: {
emphasis: {
show: false
}
},
roam: true,
itemStyle: {
normal: {
areaColor: '#323c48',
borderColor: '#404a59'
},
emphasis: {
areaColor: '#2a333d'
}
}
},
series: series
}; // 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
myChart.on('click', function (params) {
alert(params.name);
});
</script> </body>
</html>
bmap.js：
<html>
<head>
<meta charset="utf-8">
<style type="text/css">
body {
margin: 0;
}
#main {
height: 100%;
}
</style>
</head>
<body>
<div id="main"></div>
<script src="http://api.map.baidu.com/api?v=2.0&ak=akZILvuv0Ovr6uU3eKlaXP2Pgx9jprjO"></script>
<script src="./echarts.js"></script>
<script src="./bmap.min.js"></script> </body> <script>
var myChart = echarts.init(document.getElementById('main'));
var geoCoordMap = {
'上海': [121.4648,31.2891],
'东莞': [113.8953,22.901],
'东营': [118.7073,37.5513],
'中山': [113.4229,22.478],
'临汾': [111.4783,36.1615],
'临沂': [118.3118,35.2936],
'丹东': [124.541,40.4242],
'丽水': [119.5642,28.1854],
'乌鲁木齐': [87.9236,43.5883],
'佛山': [112.8955,23.1097],
'保定': [115.0488,39.0948],
'兰州': [103.5901,36.3043],
'包头': [110.3467,41.4899],
'北京': [116.4551,40.2539],
'北海': [109.314,21.6211],
'南京': [118.8062,31.9208],
'南宁': [108.479,23.1152],
'南昌': [116.0046,28.6633],
'南通': [121.1023,32.1625],
'厦门': [118.1689,24.6478],
'台州': [121.1353,28.6688],
'合肥': [117.29,32.0581],
'呼和浩特': [111.4124,40.4901],
'咸阳': [108.4131,34.8706],
'哈尔滨': [127.9688,45.368],
'唐山': [118.4766,39.6826],
'嘉兴': [120.9155,30.6354],
'大同': [113.7854,39.8035],
'大连': [122.2229,39.4409],
'天津': [117.4219,39.4189],
'太原': [112.3352,37.9413],
'威海': [121.9482,37.1393],
'宁波': [121.5967,29.6466],
'宝鸡': [107.1826,34.3433],
'宿迁': [118.5535,33.7775],
'常州': [119.4543,31.5582],
'广州': [113.5107,23.2196],
'廊坊': [116.521,39.0509],
'延安': [109.1052,36.4252],
'张家口': [115.1477,40.8527],
'徐州': [117.5208,34.3268],
'德州': [116.6858,37.2107],
'惠州': [114.6204,23.1647],
'成都': [103.9526,30.7617],
'扬州': [119.4653,32.8162],
'承德': [117.5757,41.4075],
'拉萨': [91.1865,30.1465],
'无锡': [120.3442,31.5527],
'日照': [119.2786,35.5023],
'昆明': [102.9199,25.4663],
'杭州': [119.5313,29.8773],
'枣庄': [117.323,34.8926],
'柳州': [109.3799,24.9774],
'株洲': [113.5327,27.0319],
'武汉': [114.3896,30.6628],
'汕头': [117.1692,23.3405],
'江门': [112.6318,22.1484],
'沈阳': [123.1238,42.1216],
'沧州': [116.8286,38.2104],
'河源': [114.917,23.9722],
'泉州': [118.3228,25.1147],
'泰安': [117.0264,36.0516],
'泰州': [120.0586,32.5525],
'济南': [117.1582,36.8701],
'济宁': [116.8286,35.3375],
'海口': [110.3893,19.8516],
'淄博': [118.0371,36.6064],
'淮安': [118.927,33.4039],
'深圳': [114.5435,22.5439],
'清远': [112.9175,24.3292],
'温州': [120.498,27.8119],
'渭南': [109.7864,35.0299],
'湖州': [119.8608,30.7782],
'湘潭': [112.5439,27.7075],
'滨州': [117.8174,37.4963],
'潍坊': [119.0918,36.524],
'烟台': [120.7397,37.5128],
'玉溪': [101.9312,23.8898],
'珠海': [113.7305,22.1155],
'盐城': [120.2234,33.5577],
'盘锦': [121.9482,41.0449],
'石家庄': [114.4995,38.1006],
'福州': [119.4543,25.9222],
'秦皇岛': [119.2126,40.0232],
'绍兴': [120.564,29.7565],
'聊城': [115.9167,36.4032],
'肇庆': [112.1265,23.5822],
'舟山': [122.2559,30.2234],
'苏州': [120.6519,31.3989],
'莱芜': [117.6526,36.2714],
'菏泽': [115.6201,35.2057],
'营口': [122.4316,40.4297],
'葫芦岛': [120.1575,40.578],
'衡水': [115.8838,37.7161],
'衢州': [118.6853,28.8666],
'西宁': [101.4038,36.8207],
'西安': [109.1162,34.2004],
'贵阳': [106.6992,26.7682],
'连云港': [119.1248,34.552],
'邢台': [114.8071,37.2821],
'邯郸': [114.4775,36.535],
'郑州': [113.4668,34.6234],
'鄂尔多斯': [108.9734,39.2487],
'重庆': [107.7539,30.1904],
'金华': [120.0037,29.1028],
'铜川': [109.0393,35.1947],
'银川': [106.3586,38.1775],
'镇江': [119.4763,31.9702],
'长春': [125.8154,44.2584],
'长沙': [113.0823,28.2568],
'长治': [112.8625,36.4746],
'阳泉': [113.4778,38.0951],
'青岛': [120.4651,36.3373],
'韶关': [113.7964,24.7028]
}; var BJData = [
[{name:'保定'}, {name:'上海',value:200}],
[{name:'保定'}, {name:'广州',value:90}],
[{name:'保定'}, {name:'大连',value:80}],
[{name:'保定'}, {name:'南宁',value:70}],
[{name:'保定'}, {name:'南昌',value:60}], ]; var SHData = [
[{name:'包头',value:91}, {name:'保定',value:95}],
[{name:'昆明',value:88}, {name:'上海',value:92}],
[{name:'广州',value:87}, {name:'上海',value:22}],
[{name:'郑州',value:86}, {name:'上海',value:33}],
[{name:'长春',value:85}, {name:'上海',value:95}],
[{name:'重庆',value:84}, {name:'上海',value:95}], ]; var GZData = [
[{name:'广州'},{name:'福州',value:95}],
[{name:'广州'},{name:'太原',value:90}],
[{name:'广州'},{name:'长春',value:80}],
[{name:'广州'},{name:'重庆',value:70}],
[{name:'广州'},{name:'西安',value:60}],
[{name:'广州'},{name:'成都',value:50}],
[{name:'广州'},{name:'常州',value:40}],
[{name:'广州'},{name:'北京',value:30}],
[{name:'广州'},{name:'北海',value:20}],
[{name:'广州'},{name:'海口',value:10}]
]; var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z'; var convertData = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var dataItem = data[i];
var fromCoord = geoCoordMap[dataItem[0].name];
var toCoord = geoCoordMap[dataItem[1].name];
if (fromCoord && toCoord) {
res.push({
fromName: dataItem[0].name,
toName: dataItem[1].name,
coords: [fromCoord, toCoord]
});
}
}
return res;
}; var color = ['#a6c84c', '#ffa022', '#46bee9'];
var series = [];
[['保定', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
series.push({
name: item[0] + ' Top10',
type: 'lines',
coordinateSystem: 'bmap',
zlevel: 1,
effect: {
show: true,
period: 6,
trailLength: 0.7,
color: '#fff', //线
symbolSize: 3
},
lineStyle: {
normal: {
color: color[i],
width: 0,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + ' Top10',
type: 'lines',
coordinateSystem: 'bmap',
zlevel: 2,
effect: {
show: true,
period: 6,
trailLength: 0,
symbol: planePath,
symbolSize: 15
},
lineStyle: {
normal: {
color: color[i],
width: 1,
opacity: 0.4,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + ' Top10',
type: 'effectScatter',
coordinateSystem: 'bmap',
zlevel: 2,
rippleEffect: {
brushType: 'stroke'
},
label: {
normal: {
show: true,
position: 'right',
formatter: '{b}'
}
},
symbolSize: function (val) {
return val[2] / 8;
},
itemStyle: {
normal: {
color: color[i]
}
},
data: item[1].map(function (dataItem) {
return {
name: dataItem[0].name,
value: geoCoordMap[dataItem[0].name].concat([dataItem[0].value])
};
})
});
}); option = {
backgroundColor: '#404a59',
title : {
text: '模拟迁徙',
subtext: '数据纯属虚构',
left: 'center',
textStyle : {
color: '#404a59'
}
},
tooltip : {
trigger: 'item'
},
legend: {
orient: 'vertical',
top: 'bottom',
left: 'right',
data:['保定 Top10', '上海 Top10', '广州 Top10'],
textStyle: {
color: '#404a59'
},
selectedMode: 'single'
},
dataRange: {
min: 0,
max: 100,
x: 'right',
calculable: true,
color: ['#ff3333', 'orange', 'yellow', 'lime', 'aqua'], //控制点
textStyle: {
color: '#fff'
}
},
bmap: {
center: [115.97, 29.71],
zoom: 5,
roam: true
},
series: series
}; myChart.setOption(option);
myChart.on('click', function (params) {
alert(params.name);
});
</script>
</html>
流量分析系统----实现-echarts模拟迁移(bmap.js/china.js)的更多相关文章
- 流量分析系统----讲解-echarts模拟迁移(结合china.js)
百度 Echarts 地图->模拟迁徙,实现自动切换地图 小航哥注释: 1.本文主要是把模拟迁移的流程讲了一遍,讲的很好.具体实现参考航哥这篇随笔“流量分析系统----实现-echarts模拟迁 ...
- 开源流量分析系统 Apache Spot 概述(转)
原文地址http://blog.nsfocus.net/apache-spot/ Apache Spot 是一个基于网络流量和数据包分析,通过独特的机器学习方法,发现潜在安全威胁和未知网络攻击能力的开 ...
- 流量分析系统---echarts模拟迁移中 ，geocoord从后台获取动态数值
由于在echarts的使用手册中说了 {Object} geoCoord (geoCoord是Object类型) ,所以不能用传统的字符串拼接或数组的方式赋值.在后台的controller中用Map& ...
- 流量分析系统---redis
1\启动redis 方法一: 修改了某些配置,具体步骤惨开下面的内容 [root@mini1 ~]# service redis stop/start 方法二: [root@mini1 bin]#cd ...
- 流量分析系统---flume(测试flume+kafka)
1.在flume官方网站下载最新的flume wget http://124.205.69.169/files/A1540000011ED5DB/mirror.bit.edu.cn/apach ...
- 流量分析系统---kafka集群部署
1.集群部署的基本流程 Storm上游数据源之Kakfa 下载安装包.解压安装包.修改配置文件.分发安装包.启动集群 2.基础环境准备 安装前的准备工作(zk集群已经部署完毕) 关闭防火墙 chk ...
- 流量分析系统--zookeeper集群部署
安装zookeeper mkdir apps tar -zxvf zookeeper-3.4.5.tar.gz -C apps [root@mini1 zookeeper-3.4.5]# rm -rf ...
- 网络流量分析——NPMD关注IT运维、识别宕机和运行不佳进行性能优化。智能化分析是关键-主动发现业务运行异常。科来做APT相关的安全分析
科来 做流量分析,同时也做了一些安全分析(偏APT)——参考其官网:http://www.colasoft.com.cn/cases-and-application/network-security- ...
- ECharts模拟百度迁徙实例
本实例原始信息: 作者:anix 演示地址:Echarts模拟迁徙 源码地址:GitHub-ananix-qianxi 前言 "百度地图春节人口迁徙大数据"(简称"百度迁 ...
随机推荐
- deepin下安装python的Tkinter库
在Linux下,如果需要编写界面应用,并且此界面应用对性能的要求不是很高,一般可以使用Python解决.Python中可以使用自带的Tkinter库或者是第三方的Wxpython库,当然Tkinter ...
- hadoop入门博客链接
http://blog.itpub.net/30066956/cid-175369-list-1/
- 2017-5-14 湘潭市赛 Parentheses 转化思想+贪心 使括号序列合法的最小花费。满足前面左括号的数量>=有括号的数量。
Parentheses Accepted : Submit : Time Limit : MS Memory Limit : KB Parentheses Bobo has a very long s ...
- 青蛙的约会 扩展欧几里得 方程ax+by=c的整数解 一个跑道长为周长为L米，两只青蛙初始位置为x,y；（x!=y，同时逆时针运动，每一次运动分别为m,n米；问第几次运动后相遇，即在同一位置。
/** 题目:青蛙的约会 链接:https://vjudge.net/contest/154246#problem/R 题意:一个跑道长为周长为L米,两只青蛙初始位置为x,y:(x!=y,同时逆时针运 ...
- Unity3D 移动开发代码优化
1. 尽量避免每帧处理 比方: function Update() { DoSomeThing(); } 可改为每5帧处理一次: function Update() { if(Time.frameCo ...
- BitMap、Geo、HyperLogLog
前言 Reids 在 Web 应用的开发中使用非常广泛,几乎所有的后端技术都会有涉及到 Redis 的使用.Redis 种除了常见的字符串 String.字典 Hash.列表 List.集合 Set. ...
- 【转】在Eclipse中使用JUnit4进行单元测试（初级篇）
http://www.builder.com.cn/2007/0901/482336.shtml 首先,我们来一个傻瓜式速成教程,不要问为什么,Follow Me,先来体验一下单元测试的快感! 首先新 ...
- git Staging Deleted files
Use git rm foo to stage the file for deletion. (This will also delete the file from the file system, ...
- springmvc 生命周期
1A)客户端发出http请求,只要请求形式符合web.xml 文件中配置的*.action的话,就由DispatcherServlet 来处理. 1B)DispatcherServlet再将http请 ...
- Marple表演电影字幕
119501:15:59,702 --> 01:16:02,782我的幸运死了 而我很清楚是谁杀了她的 (格雷格)My Lucky is dead, and I know perfectly w ...