解析高德地图api获取省市区，生成最新三级联动sql表
前言：
最近项目中用到了全国省市区三级信息，但是网上找到的信息都是比较旧的信息。与现在最新的地区信息匹配不上。后来想到高德地图上可能有这些信息。所以解析了一下api接口，生成了相关省市区的sql信息。（注意：这里面没有港台地区）具体的请参看高德地图文档。
alibaba.fastjson解析+mysql表
1、高德地图api调用接口说明文档：https://lbs.amap.com/api/webservice/guide/api/district/#limit
具体数据接口：
https://restapi.amap.com/v3/config/district?subdistrict=4&key=申请的key
注意：如果想调用此接口需要申请一个key,免费的，注册就可以获取
2、我的码云代码：https://gitee.com/liran123/yft-evidence
3、java代码如下：
@RequestMapping("/getAll")
public Object getMasterList() throws Exception {
HttpClientResult result = HttpClientUtils.doGet("https://restapi.amap.com/v3/config/district?subdistrict=4&key=自己申请的key");
String jsonString = result.getContent();
//数据结构如下
/* String jsonString = "{\n" +
" \"status\": \"1\",\n" +
" \"info\": \"OK\",\n" +
" \"infocode\": \"10000\",\n" +
" \"count\": \"1\",\n" +
" \"suggestion\": {\n" +
" \"keywords\": [],\n" +
" \"cities\": []\n" +
" },\n" +
" \"districts\": [{\n" +
" \"citycode\": [],\n" +
" \"adcode\": \"100000\",\n" +
" \"name\": \"中华人民共和国\",\n" +
" \"center\": \"116.3683244,39.915085\",\n" +
" \"level\": \"country\",\n" +
" \"districts\": [{\n" +
" \"citycode\": [],\n" +
" \"adcode\": \"410000\",\n" +
" \"name\": \"河南省\",\n" +
" \"center\": \"113.665412,34.757975\",\n" +
" \"level\": \"province\",\n" +
" \"districts\": [{\n" +
" \"citycode\": \"0393\",\n" +
" \"adcode\": \"410900\",\n" +
" \"name\": \"濮阳市\",\n" +
" \"center\": \"115.041299,35.768234\",\n" +
" \"level\": \"city\",\n" +
" \"districts\": [{\n" +
" \"citycode\": \"0393\",\n" +
" \"adcode\": \"410923\",\n" +
" \"name\": \"南乐县\",\n" +
" \"center\": \"115.204336,36.075204\",\n" +
" \"level\": \"district\",\n" +
" \"districts\": [{\n" +
" \"citycode\": \"0393\",\n" +
" \"adcode\": \"410923\",\n" +
" \"name\": \"福坎镇\",\n" +
" \"center\": \"115.398,36.0869\",\n" +
" \"level\": \"street\",\n" +
" \"districts\": []\n" +
" }]\n" +
" }]\n" +
" }]\n" +
" }]\n" +
" }]\n" +
"}";//result.getContent();*/
JSONObject jsonObject = JSONObject.parseObject(jsonString);
//获取到国家及下面所有的信息 开始循环插入，这里可以写成递归调用，但是不如这样方便查看、理解
JSONArray countryAll = jsonObject.getJSONArray("districts");
for (int i = 0; i < countryAll.size(); i++) {
JSONObject countryLeve0 = countryAll.getJSONObject(i);
String citycode0 = countryLeve0.getString("citycode");
String adcode0 = countryLeve0.getString("adcode");
String name0 = countryLeve0.getString("name");
String center0 = countryLeve0.getString("center");
String country = countryLeve0.getString("level");
int level = 0;
if (country.equals("country")) {
level = 0;
}
//插入国家
Integer id1 = insert(0, adcode0, citycode0, name0, center0, level, name0);
JSONArray province0 = countryLeve0.getJSONArray("districts");
for (int j = 0; j < province0.size(); j++) {
JSONObject province1 = province0.getJSONObject(j);
String citycode1 = province1.getString("citycode");
String adcode1 = province1.getString("adcode");
String name1 = province1.getString("name");
String center1 = province1.getString("center");
String province = province1.getString("level");
int level1 = 0;
if (province.equals("province")) {
level1 = 1;
}
//插入省
Integer id2 = insert(id1, adcode1, citycode1, name1, center1, level1, name0, name1);
JSONArray city0 = province1.getJSONArray("districts");
for (int z = 0; z < city0.size(); z++) {
JSONObject city2 = city0.getJSONObject(z);
String citycode2 = city2.getString("citycode");
String adcode2 = city2.getString("adcode");
String name2 = city2.getString("name");
String center2 = city2.getString("center");
String city = city2.getString("level");
int level2 = 0;
if (city.equals("city")) {
level2 = 2;
}
//插入市
Integer id3 = insert(id2, adcode2, citycode2, name2, center2, level2, name0, name1, name2);
JSONArray street0 = city2.getJSONArray("districts");
for (int w = 0; w < street0.size(); w++) {
JSONObject street3 = street0.getJSONObject(w);
String citycode3 = street3.getString("citycode");
String adcode3 = street3.getString("adcode");
String name3 = street3.getString("name");
String center3 = street3.getString("center");
String street = street3.getString("level");
int level3 = 0;
if (street.equals("street")) {
level3 = 2;
}
//插入区县
insert(id3, adcode3, citycode3, name3, center3, level3, name0, name1, name2, name3);
// JSONArray street = street3.getJSONArray("districts");
//有需要可以继续向下遍历
}
}
}
}
return getSuccessResult();
}
/**
* 公共的插入方法
*
* @param parentId 父id
* @param citycode 城市编码
* @param adcode 区域编码 街道没有独有的adcode，均继承父类（区县）的adcode
* @param name 城市名称 （行政区名称）
* @param center 地理坐标
* @param level 等级 0 国家，1省，...依次排
* @param mergeName 把名称拼接成全名
* @return
*/
public Integer insert(Integer parentId, String citycode, String adcode, String name, String center, int level, String... mergeName) {
// \"citycode\": [],\n" +
// " \"adcode\": \"100000\",\n" +
// " \"name\": \"中华人民共和国\",\n" +
// " \"center\": \"116.3683244,39.915085\",\n" +
// " \"level\": \"country\",\n" +
RegionAmap record = new RegionAmap();
if (!adcode.equals("[]")) {
record.setAdcode(adcode);
}
record.setCitycode(Integer.parseInt(citycode));
record.setCenter(center);
record.setLevel(level);
record.setName(name);
record.setParentId(parentId);
String megName = "";
for (int i = 0; i < mergeName.length; i++) {
megName = megName + mergeName[i];
if (i < mergeName.length - 1) {
megName = megName + ",";
}
}
record.setMergerName(megName);
regionAmapMapperCustom.insertSelective(record);
return record.getCitycode();
}
/**
* 生成的sql顺序重新排序
*
* @return
*/
@RequestMapping("/order")
public Object order() {
RegionAmapExample example = new RegionAmapExample();
example.setOrderByClause("citycode, adcode");
List<RegionAmap> selectByExample = regionAmapMapperCustom.selectByExample(example);
for (RegionAmap regionAmap : selectByExample) {
RegionOrder record = new RegionOrder();
record.setAdcode(regionAmap.getAdcode());
record.setCitycode(regionAmap.getCitycode());
record.setCenter(regionAmap.getCenter());
record.setLevel(regionAmap.getLevel());
record.setMergerName(regionAmap.getMergerName());
record.setName(regionAmap.getName());
record.setParentId(regionAmap.getParentId());
regionOrderMapper.insertSelective(record);
}
return getSuccessResult();
}
注意：第一次调用接口解析的省市区不是按顺序解析，需要调用排序接口重新生成。最后看排序后的 region_order 表就可以
