HighCharts 柱状图的实现

//上周和本周的时间设置：上周（dbbartime4至dbbartime3）；本周（dbbartime2至dbbartime1）

Calendar c2 = Calendar.getInstance();

c2.add(Calendar.DAY_OF_MONTH, -1);

String dbbartime1 = sf.format(c2.getTime());

c2.add(Calendar.DAY_OF_MONTH, -6);

String dbbartime2 = sf.format(c2.getTime());

c2.add(Calendar.DAY_OF_MONTH, -1);

String dbbartime3 = sf.format(c2.getTime());

c2.add(Calendar.DAY_OF_MONTH, -5);

String dbbartime4 = sf.format(c2.getTime());

model.addAttribute("dbbartime1", dbbartime1);

model.addAttribute("dbbartime2", dbbartime2);

model.addAttribute("dbbartime3", dbbartime3);

model.addAttribute("dbbartime4", dbbartime4);



在dbbargraph.jsp中：

<%@ page language="java" contentType="text/html; charset=UTF-8"

pageEncoding="UTF-8"%>

<%@ include file="/WEB-INF/views/include/easyui-head2.jsp"%>

<link rel="stylesheet" type="text/css" href="static/theme/css/operation/count.css">

<script type="text/javascript" src="static/js/operation/dbbargraph.js" ></script>

<script type="text/javascript" src="static/js/_Highcharts/highcharts.js"></script>

<div class="panel panel-info">

<div class="panel-header panel-header-index clearfix">

<h3 class="pull-left">数据到报统计柱状图</h3>

</div>

<div class="zf_fitem">

<label>类型：</label>

<select id="type_id" class="easyui-combobox" name="timeid" style="width:60px;" required="true" editable="false">

<option value="0">到报率</option>

<option value="1">延时</option>

</select>

<label class="label2">上周：</label>

<input id="dbbartime4" style="font-size: 13px;width:90px;" readonly="readonly" class="calendar" value="${dbbartime4}"></input>

<label class="label3">至</label>
<input id="dbbartime3" style="font-size: 13px;width:90px;" readonly="readonly" class="calendar" value="${dbbartime3}"></input>

<label class="label2">本周：</label>

<input id="dbbartime2" style="font-size: 13px;width:90px;" readonly="readonly" class="calendar" value="${dbbartime2}"></input>

<label class="label3">至</label>
<input id="dbbartime1" style="font-size: 13px;width:90px;" readonly="readonly" class="calendar" value="${dbbartime1}"></input>

<button class="button button-mini button-primary" id="checkbtn" onclick="dbbarshow()" style="font-size: 14px;">查询</button>

</div>

<div id="canvas2" style="height:90%;"></div>

</div>

在easyui-head2.jsp中:

<%@ page language="java" contentType="text/html; charset=UTF-8" pageEncoding="UTF-8"%>

<link rel="stylesheet" type="text/css" href="static/js/plugins/easyui-1.3.6/themes/default/easyui2.css">

<link rel="stylesheet" type="text/css" href="static/js/plugins/easyui-1.3.6/themes/icon.css">

<script type="text/javascript" src="static/js/common/uuid.js"></script>

<script type="text/javascript" src="static/js/plugins/easyui-1.3.6/jquery.easyui.min.js"></script>

<script type="text/javascript" src="static/js/plugins/easyui-1.3.6/locale/easyui-lang-zh_CN.js"></script>

<script type="text/javascript" src="static/js/common/easyui.common.js"></script>

在dbbargraph.js中：

$(document).ready(function(){

dbbartime4 = $('#dbbartime4').val();

dbbartime3 = $('#dbbartime3').val();

dbbartime2 = $('#dbbartime2').val();

dbbartime1 = $('#dbbartime1').val();

type = $('#type_id').combobox('getValue');

showChart2(dbbartime4,dbbartime3,dbbartime2,dbbartime1,type);

});

function dbbarshow(){

dbbartime4 = $('#dbbartime4').val();

dbbartime3 = $('#dbbartime3').val();

dbbartime2 = $('#dbbartime2').val();

dbbartime1 = $('#dbbartime1').val();

type = $('#type_id').combobox('getValue');

showChart2(dbbartime4,dbbartime3,dbbartime2,dbbartime1,type);

}

function showChart2(dbbartime4,dbbartime3,dbbartime2,dbbartime1,type){

var labellist;

var countlist;

var timelist;

var arrcountlist=[]; //存放上周数据

var arrtimelist=[]; //存放本周数据

$.ajax({

url:path + '/operation/getDbBarGraph',

data:{

dbbartime4 : dbbartime4,

dbbartime3 : dbbartime3,

dbbartime2 : dbbartime2,

dbbartime1 : dbbartime1,

type : type

},

type:'post',

contentType:"application/x-www-form-urlencoded;charset=utf-8",

dataType:'json',

success:function(msg){

$("#canvas2").html('');

labellist = msg[0].all[0].labellist; //横轴数据

countlist = msg[0].all[1].countlist;

timelist = msg[0].all[2].timelist;

for(var i =0; i<countlist.length;i++){

var aa = Number(countlist[i]);

arrcountlist.push(aa); //上周数据

}

for(var i =0; i<timelist.length;i++){

var aa = Number(timelist[i]);

arrtimelist.push(aa); //本周数据

}

$(function () {

$('#canvas2').highcharts({

chart: {

type: 'column',

margin: [ 20, 20, 60, 60] //整个图表的位置(上下左右的空隙)

},

title: {

text: ''

},

xAxis: {

categories:labellist,

labels: {

rotation: 0, //横坐标45度倾斜

align: 'center',

style: {

fontSize: '13px',

fontFamily: 'Verdana, sans-serif'

}

}

},

yAxis: {

min: 0,

title: {

text: ''

}

},

legend: {

enabled: true

},

credits: {

enabled: false

},

/*plotOptions: {

column: {

dataLabels: {

enabled: true

}

}

},*/

plotOptions: {

series: {

dataLabels: {

enabled: true

}

}

},

// plotOptions: {

//
series: {

// events: {

// //控制图标的图例legend不允许切换

// legendItemClick: function (event){

//

// return false; //return true 则表示允许切换

// }

// }

// }

//
},

// tooltip: {

// valueSuffix: ' 小时'

// },

series: [{

name: '上周',

data: arrcountlist,

color:'#5380B9', //上周柱状图的颜色

tooltip: {

valueSuffix: ' '

},

/*dataLabels: {

enabled: true, //这个属性：柱状图上面显示不显示数据

rotation: -90, //显示数据的方向偏向

color: '#FFFFFF',

align: 'right',

x: 4,

y: 10,

style: {

fontSize: '13px',

fontFamily: 'Verdana, sans-serif',

textShadow: '0 0 3px black'

}

}*/

},{

name:'本周',

data:arrtimelist,

color:'#C14F4F', //本周柱状图的颜色

tooltip: {

valueSuffix: ' '

}

}]

});

});

}

});

}

Java类方法：

@ResponseBody

@RequestMapping(value = "/getDbBarGraph", produces = "application/html; charset=utf-8")

public String getDbBarGraph(Model model, HttpServletRequest request,HttpServletResponse response) {

try {

//上周：dbbartime4至dbbartime3

String dbbartime4 = request.getParameter("dbbartime4");

String dbbartime3 = request.getParameter("dbbartime3");

//本周：dbbartime2至dbbartime1

String dbbartime2 = request.getParameter("dbbartime2");

String dbbartime1 = request.getParameter("dbbartime1");

String type = request.getParameter("type");

SimpleDateFormat sf = new SimpleDateFormat("yyyy-MM-dd");

//判断时间是否为空

if(dbbartime4 == null || "".equals(dbbartime4)) {

Calendar c = Calendar.getInstance();

c.add(Calendar.DAY_OF_MONTH, -13);

dbbartime4 = sf.format(c.getTime());

}

if(dbbartime3 == null || "".equals(dbbartime3)) {

Calendar c = Calendar.getInstance();

c.add(Calendar.DAY_OF_MONTH, -8);

dbbartime3 = sf.format(c.getTime());

}

if(dbbartime2 == null || "".equals(dbbartime2)) {

Calendar c = Calendar.getInstance();

c.add(Calendar.DAY_OF_MONTH, -7);

dbbartime2 = sf.format(c.getTime());

}

if(dbbartime1 == null || "".equals(dbbartime1)) {

Calendar c = Calendar.getInstance();

c.add(Calendar.DAY_OF_MONTH, -1);

dbbartime1 = sf.format(c.getTime());

}

String sql1 = "";

String sql2 = "";

String sql3 = "";

String sql4 = "";

String sql5 = "";

String sql6 = "";

String sql7 = "";

String sql8 = "";

if (type.equals("0")) { //到报率

//深圳市遥测站 上周 到报率

sql1 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao, (sum(t.shouldquantity)/sum(t.realquantity))*100 rate from t_data_statistics t where t.dsid=1 and t.dtypeid=1 and t.statisticstime >= to_date(?,'yyyy-MM-dd')
and t.statisticstime <= to_date(?,'yyyy-MM-dd')";

//深圳市自动站 上周 到报率

sql2 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,(sum(t.realquantity)/sum(t.shouldquantity))*100 rate from t_data_statistics t where t.dsid=4 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime
<= to_date(?,'yyyy-MM-dd')";

//广东省自动站 上周 到报率

sql3 = "select count(1)*288 yingdao,sum(sumcount) shidao,(sum(sumcount)/(count(1)*288))*100 rate from t_qxdatasum where dtype=1 and ddatetime>= to_date(?,'yyyy-MM-dd') and ddatetime<=to_date(?,'yyyy-MM-dd') and timedelay<500";

//广东省雷达数据 上周 到报率

sql4 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao ,(sum(t.realquantity)/sum(t.shouldquantity))*100 rate from t_data_statistics t where t.dsid=2 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime
<= to_date(?,'yyyy-MM-dd')";

List<Object> dbList = new ArrayList<Object>();

dbList.add(dbbartime4);

dbList.add(dbbartime3);

EntityManager entityManager = dao.getWbwxszidcEntityManager();

List<Map<String, Object>> list1 = ybzxTwoService.queryListMapByList(sql1, dbList, entityManager);

List<Map<String, Object>> list2 = ybzxTwoService.queryListMapByList(sql2, dbList, entityManager);

List<Map<String, Object>> list3 = ybzxTwoService.queryListMapByList(sql3, dbList, entityManager);

List<Map<String, Object>> list4 = ybzxTwoService.queryListMapByList(sql4, dbList, entityManager);

float sql1rate = Float.parseFloat(list1.get(0).get("rate".toUpperCase()) == null ? "" : list1.get(0).get("rate".toUpperCase()).toString());

float sql2rate = Float.parseFloat(list2.get(0).get("rate".toUpperCase()) == null ? "" : list2.get(0).get("rate".toUpperCase()).toString());

float sql3rate = Float.parseFloat(list3.get(0).get("rate".toUpperCase()) == null ? "" : list3.get(0).get("rate".toUpperCase()).toString());

float sql4rate = Float.parseFloat(list4.get(0).get("rate".toUpperCase()) == null ? "" : list4.get(0).get("rate".toUpperCase()).toString());

//深圳市遥测站 本周 到报率

sql5 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao, (sum(t.shouldquantity)/sum(t.realquantity))*100 rate from t_data_statistics t where t.dsid=1 and t.dtypeid=1 and t.statisticstime >= to_date(?,'yyyy-MM-dd')
and t.statisticstime <= to_date(?,'yyyy-MM-dd')";

//深圳市自动站 本周 到报率

sql6 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,(sum(t.realquantity)/sum(t.shouldquantity))*100 rate from t_data_statistics t where t.dsid=4 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime
<= to_date(?,'yyyy-MM-dd')";

//广东省自动站 本周 到报率

sql7 = "select count(1)*288 yingdao,sum(sumcount) shidao,(sum(sumcount)/(count(1)*288))*100 rate from t_qxdatasum where dtype=1 and ddatetime>= to_date(?,'yyyy-MM-dd') and ddatetime<=to_date(?,'yyyy-MM-dd') and timedelay<500";

//广东省雷达数据 本周 到报率

sql8 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao ,(sum(t.realquantity)/sum(t.shouldquantity))*100 rate from t_data_statistics t where t.dsid=2 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime
<= to_date(?,'yyyy-MM-dd')";

List<Object> dbList2 = new ArrayList<Object>();

dbList2.add(dbbartime2);

dbList2.add(dbbartime1);

List<Map<String, Object>> list5 = ybzxTwoService.queryListMapByList(sql5, dbList2, entityManager);

List<Map<String, Object>> list6 = ybzxTwoService.queryListMapByList(sql6, dbList2, entityManager);

List<Map<String, Object>> list7 = ybzxTwoService.queryListMapByList(sql7, dbList2, entityManager);

List<Map<String, Object>> list8 = ybzxTwoService.queryListMapByList(sql8, dbList2, entityManager);

float sql5rate = Float.parseFloat(list5.get(0).get("rate".toUpperCase()) == null ? "" : list5.get(0).get("rate".toUpperCase()).toString());

float sql6rate = Float.parseFloat(list6.get(0).get("rate".toUpperCase()) == null ? "" : list6.get(0).get("rate".toUpperCase()).toString());

float sql7rate = Float.parseFloat(list7.get(0).get("rate".toUpperCase()) == null ? "" : list7.get(0).get("rate".toUpperCase()).toString());

float sql8rate = Float.parseFloat(list8.get(0).get("rate".toUpperCase()) == null ? "" : list8.get(0).get("rate".toUpperCase()).toString());

//到报率四舍五入

DecimalFormat df = new DecimalFormat("0.00");//格式化小数，不足的补0

String rate1 = df.format(sql1rate);//返回的是String类型的

String[] arr1 = rate1.split("\\.");

String a1 = arr1[1];

if("00".equals(a1)){

rate1 = arr1[0];

}

String rate2 = df.format(sql2rate);//返回的是String类型的

String[] arr2 = rate2.split("\\.");

String a2 = arr2[1];

if("00".equals(a2)){

rate2 = arr2[0];

}

String rate3 = df.format(sql3rate);//返回的是String类型的

String[] arr3 = rate3.split("\\.");

String a3 = arr3[1];

if("00".equals(a3)){

rate3 = arr3[0];

}

String rate4 = df.format(sql4rate);//返回的是String类型的

String[] arr4 = rate4.split("\\.");

String a4 = arr4[1];

if("00".equals(a4)){

rate4 = arr4[0];

}

String rate5 = df.format(sql5rate);//返回的是String类型的

String[] arr5 = rate5.split("\\.");

String a5 = arr5[1];

if("00".equals(a5)){

rate5 = arr5[0];

}

String rate6 = df.format(sql6rate);//返回的是String类型的

String[] arr6 = rate6.split("\\.");

String a6 = arr6[1];

if("00".equals(a6)){

rate6 = arr6[0];

}

String rate7 = df.format(sql7rate);//返回的是String类型的

String[] arr7 = rate7.split("\\.");

String a7 = arr7[1];

if("00".equals(a7)){

rate7 = arr7[0];

}

String rate8 = df.format(sql8rate);//返回的是String类型的

String[] arr8 = rate8.split("\\.");

String a8 = arr8[1];

if("00".equals(a8)){

rate8 = arr8[0];

}

net.sf.json.JSONArray jsonArray = new net.sf.json.JSONArray();

Map<String, List<Map<String, Object>>> allmap = new HashMap<String, List<Map<String, Object>>>();

List<Map<String, Object>> alllist = new ArrayList<Map<String, Object>>();

Map<String, Object> labelmap = new HashMap<String, Object>();

Map<String, Object> countmap = new HashMap<String, Object>();

Map<String, Object> timemap = new HashMap<String, Object>();

ArrayList<String> lb = new ArrayList<String>();

ArrayList<String> countlist = new ArrayList<String>();

ArrayList<String> timelist = new ArrayList<String>();

lb.add("深圳市遥测站");

countlist.add(rate1);

timelist.add(rate5);

lb.add("深圳市自动站");

countlist.add(rate2);

timelist.add(rate6);

lb.add("广东省自动站");

countlist.add(rate3);

timelist.add(rate7);

lb.add("广东省雷达数据");

countlist.add(rate4);

timelist.add(rate8);

countmap.put("countlist", countlist);

timemap.put("timelist", timelist);

labelmap.put("labellist", lb);

alllist.add(labelmap);

alllist.add(countmap);

alllist.add(timemap);

allmap.put("all", alllist);

jsonArray = UtilsJson.object2json(allmap);

response.getWriter().print(jsonArray);

}else if(type.equals("1")) { //延时

//深圳市遥测站 上周 延时

sql1 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,sum(t.relay)/count(*) relay from t_data_statistics t where t.dsid=1 and t.dtypeid=1 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime
<= to_date(?,'yyyy-MM-dd')";

//深圳市自动站 上周 延时

sql2 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,sum(t.relay)/count(*) relay from t_data_statistics t where t.dsid=4 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime <= to_date(?,'yyyy-MM-dd')";

//广东省自动站 上周 延时

sql3 = "select count(1)*288 yingdao,sum(sumcount) shidao,sum(timedelay)/count(1) relay from t_qxdatasum where dtype=1 and ddatetime>= to_date(?,'yyyy-MM-dd') and ddatetime<=to_date(?,'yyyy-MM-dd') and timedelay<500";

//广东省雷达数据 上周 延时

sql4 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,sum(t.relay)/count(*) relay from t_data_statistics t where t.dsid=2 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime <= to_date(?,'yyyy-MM-dd')";

List<Object> dbList = new ArrayList<Object>();

dbList.add(dbbartime4);

dbList.add(dbbartime3);

EntityManager entityManager = dao.getWbwxszidcEntityManager();

List<Map<String, Object>> list1 = ybzxTwoService.queryListMapByList(sql1, dbList, entityManager);

List<Map<String, Object>> list2 = ybzxTwoService.queryListMapByList(sql2, dbList, entityManager);

List<Map<String, Object>> list3 = ybzxTwoService.queryListMapByList(sql3, dbList, entityManager);

List<Map<String, Object>> list4 = ybzxTwoService.queryListMapByList(sql4, dbList, entityManager);

float sql1relay = Float.parseFloat(list1.get(0).get("relay".toUpperCase()) == null ? "" : list1.get(0).get("relay".toUpperCase()).toString());

float sql2relay = Float.parseFloat(list2.get(0).get("relay".toUpperCase()) == null ? "" : list2.get(0).get("relay".toUpperCase()).toString());

float sql3relay = Float.parseFloat(list3.get(0).get("relay".toUpperCase()) == null ? "" : list3.get(0).get("relay".toUpperCase()).toString());

float sql4relay = Float.parseFloat(list4.get(0).get("relay".toUpperCase()) == null ? "" : list4.get(0).get("relay".toUpperCase()).toString());

//深圳市遥测站 本周 延时

sql5 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,sum(t.relay)/count(*) relay from t_data_statistics t where t.dsid=1 and t.dtypeid=1 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime
<= to_date(?,'yyyy-MM-dd')";

//深圳市自动站 本周 延时

sql6 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,sum(t.relay)/count(*) relay from t_data_statistics t where t.dsid=4 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime <= to_date(?,'yyyy-MM-dd')";

//广东省自动站 本周 延时

sql7 = "select count(1)*288 yingdao,sum(sumcount) shidao,sum(timedelay)/count(1) relay from t_qxdatasum where dtype=1 and ddatetime>= to_date(?,'yyyy-MM-dd') and ddatetime<=to_date(?,'yyyy-MM-dd') and timedelay<500";

//广东省雷达数据 本周 延时

sql8 = "select sum(t.shouldquantity) yingdao,sum(t.realquantity) shidao,sum(t.relay)/count(*) relay from t_data_statistics t where t.dsid=2 and t.statisticstime >= to_date(?,'yyyy-MM-dd') and t.statisticstime <= to_date(?,'yyyy-MM-dd')";

List<Object> dbList2 = new ArrayList<Object>();

dbList2.add(dbbartime2);

dbList2.add(dbbartime1);

List<Map<String, Object>> list5 = ybzxTwoService.queryListMapByList(sql5, dbList2, entityManager);

List<Map<String, Object>> list6 = ybzxTwoService.queryListMapByList(sql6, dbList2, entityManager);

List<Map<String, Object>> list7 = ybzxTwoService.queryListMapByList(sql7, dbList2, entityManager);

List<Map<String, Object>> list8 = ybzxTwoService.queryListMapByList(sql8, dbList2, entityManager);

float sql5relay = Float.parseFloat(list5.get(0).get("relay".toUpperCase()) == null ? "" : list5.get(0).get("relay".toUpperCase()).toString());

float sql6relay = Float.parseFloat(list6.get(0).get("relay".toUpperCase()) == null ? "" : list6.get(0).get("relay".toUpperCase()).toString());

float sql7relay = Float.parseFloat(list7.get(0).get("relay".toUpperCase()) == null ? "" : list7.get(0).get("relay".toUpperCase()).toString());

float sql8relay = Float.parseFloat(list8.get(0).get("relay".toUpperCase()) == null ? "" : list8.get(0).get("relay".toUpperCase()).toString());

DecimalFormat df = new DecimalFormat("0");//格式化小数，不足的补0，四舍五入

String relay1 = df.format(sql1relay);//返回的是String类型的

String relay2 = df.format(sql2relay);

String relay3 = df.format(sql3relay);

String relay4 = df.format(sql4relay);

String relay5 = df.format(sql5relay);

String relay6 = df.format(sql6relay);

String relay7 = df.format(sql7relay);

String relay8 = df.format(sql8relay);

net.sf.json.JSONArray jsonArray = new net.sf.json.JSONArray();

Map<String, List<Map<String, Object>>> allmap = new HashMap<String, List<Map<String, Object>>>();

List<Map<String, Object>> alllist = new ArrayList<Map<String, Object>>();

Map<String, Object> labelmap = new HashMap<String, Object>();

Map<String, Object> countmap = new HashMap<String, Object>();

Map<String, Object> timemap = new HashMap<String, Object>();

ArrayList<String> lb = new ArrayList<String>();

ArrayList<String> countlist = new ArrayList<String>();

ArrayList<String> timelist = new ArrayList<String>();

lb.add("深圳市遥测站");

countlist.add(relay1);

timelist.add(relay5);

lb.add("深圳市自动站");

countlist.add(relay2);

timelist.add(relay6);

lb.add("广东省自动站");

countlist.add(relay3);

timelist.add(relay7);

lb.add("广东省雷达数据");

countlist.add(relay4);

timelist.add(relay8);

countmap.put("countlist", countlist);

timemap.put("timelist", timelist);

labelmap.put("labellist", lb);

alllist.add(labelmap);

alllist.add(countmap);

alllist.add(timemap);

allmap.put("all", alllist);

jsonArray = UtilsJson.object2json(allmap);

response.getWriter().print(jsonArray);

}

} catch (Exception e) {

LOGGER.error("",e);

}

return null;

}

UtilsJson.java 类：.

package com.yuanls.uitl;

import java.io.File;

import java.io.FileOutputStream;

import java.util.List;

import net.sf.json.JSONArray;

import net.sf.json.JsonConfig;

import net.sf.json.util.CycleDetectionStrategy;

@SuppressWarnings("all")

public class UtilsJson {

public static JSONArray json(List list){

JsonConfig jsonConfig = new JsonConfig();

jsonConfig.registerJsonValueProcessor(java.sql.Timestamp.class, new DateJsonValueProcessor("yyyy-MM-dd HH:mm:ss"));

jsonConfig.setCycleDetectionStrategy(CycleDetectionStrategy.LENIENT);

JSONArray ja = JSONArray.fromObject(list,jsonConfig);

return ja;

}

public static JSONArray list2json(List list){

JsonConfig jsonConfig = new JsonConfig();

jsonConfig.registerJsonValueProcessor(java.util.Date.class, new DateJsonValueProcessor("yyyy-MM-dd HH:mm:ss"));

jsonConfig.setCycleDetectionStrategy(CycleDetectionStrategy.LENIENT);

JSONArray ja = JSONArray.fromObject(list,jsonConfig);

return ja;

}

public static JSONArray object2json(Object object){

JsonConfig jsonConfig = new JsonConfig();

jsonConfig.registerJsonValueProcessor(java.util.Date.class, new DateJsonValueProcessor("yyyy-MM-dd HH:mm:ss"));

jsonConfig.setCycleDetectionStrategy(CycleDetectionStrategy.LENIENT);

JSONArray ja = JSONArray.fromObject(object,jsonConfig);

return ja;

}

/**

* 数据转换成JSON文件

*

* @param path

* @param array

*/

public static void writeJsonFile(String path, net.sf.json.JSONArray array) {

File file = new File(path);

try {

FileOutputStream fout = new FileOutputStream(file);

for (int j = 0; j < array.size(); j++) {

fout.write(array.getJSONObject(j).toString().getBytes());

fout.write("\n".getBytes());

}

fout.close();

} catch (Exception e1) {

e1.printStackTrace();

}

}

}