JackSon解析json字符串
JackSon解析json字符串
概述
jackson解析json例子
准备工作
基于JDK1.7,依赖Jackson框架类库:
jackson-core-2.5.3.jar
jackson-databind-2.5.3.jar
Example
下面的例子是基于Jackson 2.x版本的树模型的Json解析。
要解析的Json字符串:
- String data = {
- "type":2,"range":1,"start":1368417600,"end":1368547140,"cityName":"天津",
- "companyIds":["12000001"],
- "companyNames":["天津"],
- "12000001":{
- "data":[47947,48328,48573,48520],
- "timestamps":[1368417600,1368417900,1368418200,1368418500]
- }
- }
示例代码:
- package com.cennavi.dqe.test;
- import java.io.IOException;
- import java.text.SimpleDateFormat;
- import java.util.Date;
- import java.util.TimeZone;
- import com.fasterxml.jackson.core.JsonProcessingException;
- import com.fasterxml.jackson.databind.JsonNode;
- import com.fasterxml.jackson.databind.ObjectMapper;
- public class ParseJsonTest {
- /**
- * @param args
- */
- public static void main(String[] args) {
- String data = "{\"type\":2,\"range\":1,\"start\":1368417600,\"end\":1368547140,"
- + "\"cityName\":\"天津\",\"companyIds\":[\"12000001\"],\"companyNames\":[\"天津\"],"
- + "\"12000001\":{\"data\":[47947,48328,48573,48520],"
- + "\"timestamps\":[1368417600,1368417900,1368418200,1368418500]}}";
- String data2 = parseJson(data);
- System.out.println(data2);
- }
- public static String parseJson(String data) {
- // 用来展现解析Json得到的值
- StringBuffer buf = new StringBuffer();
- try {
- ObjectMapper mapper = new ObjectMapper();
- JsonNode rootNode = mapper.readTree(data); // 读取Json
- // rootNode.path("xx")返回的还是一个JsonNode对象,调用该JsonNode的相应方法,得到键对应的值
- int type = rootNode.path("type").asInt();
- int range = rootNode.path("range").asInt();
- long start = rootNode.path("start").asLong();
- long end = rootNode.path("end").asLong();
- String cityName = rootNode.path("cityName").asText();
- // 转换时间格式
- SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMddHHmm");
- sdf.setTimeZone(TimeZone.getTimeZone("GMT+8"));
- String str = "类型(type):" + type + "\r\n" + "范围(range):" + range
- + "\r\n" + "开始时间(start):"
- + sdf.format(new Date(start * 1000)) + "\r\n"
- + "结束时间(end):" + sdf.format(new Date(end * 1000)) + "\r\n"
- + "城市名称(cityName):" + cityName;
- buf.append(str);
- // 得到companyIds的JsonNode对象
- JsonNode companyIds = rootNode.path("companyIds");
- JsonNode companyNames = rootNode.path("companyNames");
- // 遍历companyIds中的内容
- for (int i = 0; i < companyIds.size(); i++) {
- String companyId = companyIds.get(i).asText();
- // 本例解析的Json字符串中companyIds与companyNames的长度是相同的,所有直接遍历companyNames
- String companyName = companyNames.get(i).asText();
- // companyId的值:12000001,对应Json串中的
- // "12000001":{"data":[...],"timestamps":[....]}
- JsonNode infoNode = rootNode.path(companyId);
- // 得到"12000001":{"data":[...],"timestamps":[....]}中的data和timestamps的JsonNode对象
- JsonNode dataNode = infoNode.path("data");
- JsonNode timestampsNode = infoNode.path("timestamps");
- // 遍历data和timestamps 本例中data.size与timestamps.size是相等的
- buf.append("\r\n{\r\n 公司ID(companyId):" + companyId
- + "\r\n 公司名称(companyName):" + companyName + "\r\n"
- + " data:");
- for (int j = 0; j < dataNode.size(); j++) {
- long dataValue = dataNode.get(j).asLong();
- buf.append(dataValue + ",");
- }
- buf.append("\r\n time:");
- for (int k = 0; k < timestampsNode.size(); k++) {
- long timeValue = timestampsNode.get(k).asLong();
- buf.append(sdf.format(new Date(timeValue * 1000)) + ",");
- }
- buf.append("\r\n}\r\n");
- }
- } catch (JsonProcessingException e) {
- e.printStackTrace();
- } catch (IOException e) {
- // TODO 自动生成的 catch 块
- e.printStackTrace();
- }
- return buf.toString();
- }
- }
测试结果:
- 类型(type):2
- 范围(range):1
- 开始时间(start):201305131200
- 结束时间(end):201305142359
- 城市名称(cityName):天津
- {
- 公司ID(companyId):12000001
- 公司名称(companyName):天津
- data:47947,48328,48573,48520,
- time:201305131200,201305131205,201305131210,201305131215
- }