我要评论公司最近来了一个新项目，做小程序招聘。其中有一个需求是实现附近岗位推荐。由于用户量不大，决定采用redis来实现。之前没有接触过。现在用来记录一下。(redis必须使用3.2及以上版本)
- 先说一下大概流程。将职位id和经纬度存入redis中。每当添加职位时就增加一条信息。当用户点击附近时，通过用户的经纬度来查询它对应的职位id，这样就可以关联起来查询出职位信息返回用户给予展示。
- 项目采用的spring cloud alibaba全家桶，就不写它的maven依赖，只编写redis相关
引入redis依赖
<dependency>
<groupid>org.springframework.boot</groupid>
<artifactid>spring-boot-starter-data-redis</artifactid>
<version>2.3.0.release</version>
</dependency>bo
package cn.zxw.vo_bo;
import io.swagger.annotations.apimodel;
import io.swagger.annotations.apimodelproperty;
import lombok.data;
/**
* @author: zhangxiongwei
* @date: 2021-10-26 16:11
* @description: 位置信息
*/
@data
@apimodel("位置信息")
public class locationbo {
@apimodelproperty("经度")
private double longitude;
@apimodelproperty("纬度")
private double latitude;
@apimodelproperty("半径")
private double radius;
@apimodelproperty("条数")
private long limit;
}redis配置类
package cn.zxw.config;
import org.springframework.context.annotation.bean;
import org.springframework.context.annotation.configuration;
import org.springframework.data.redis.core.boundgeooperations;
import org.springframework.data.redis.core.redistemplate;
/**
* @author: zhangxiongwei
* @date: 2021-10-26 16:38
* @description: redi配置
*/
@configuration
public class redisconfig {
/**
* the constant geo_stage.
*/
public static final string geo_stage = "cities";
/**
* geo ops bound geo operations.
*
* @param redistemplate the redis template
* @return the bound geo operations
*/
@bean
public boundgeooperations<string, string> citiesgeoops(redistemplate<string, string> redistemplate) {
// 清理缓存
redistemplate.delete(geo_stage);
return redistemplate.boundgeoops(geo_stage);
}
}测试控制器
package cn.zxw.controller;
import cn.zxw.result.commonresult;
import cn.zxw.vo_bo.locationbo;
import io.swagger.annotations.api;
import io.swagger.annotations.apioperation;
import io.swagger.annotations.apiparam;
import lombok.allargsconstructor;
import lombok.extern.slf4j.slf4j;
import org.springframework.data.geo.*;
import org.springframework.data.redis.connection.redisgeocommands;
import org.springframework.data.redis.core.boundgeooperations;
import org.springframework.data.redis.core.redistemplate;
import org.springframework.web.bind.annotation.*;
import java.util.hashmap;
import java.util.map;
/**
* @author: zhangxiongwei
* @date: 2021-10-26 15:41
* @description: 附近推荐
*/
@slf4j
@restcontroller
@api(tags = "redis", description = "redis控制")
@requestmapping("/geo")
@allargsconstructor
public class redisgeocontroller {
private static final string geo_stage = "cities";
private final redistemplate<string, string> redistemplate;
private final boundgeooperations<string, string> citiesgeoops;
/**
* 初始化数据可以将职位id和经纬度存入redis，
* 添加职业时增加位置数据
* 当用户点击附近是，传入经纬度。返回id获得职位信息推送给用户
*/
@getmapping("/init")
@apioperation("初始化")
public void init() {
// 清理缓存
redistemplate.delete(geo_stage);
map<string, point> points = new hashmap<>();
points.put("shijiazhuang", new point(114.48, 38.03));
points.put("xingtang", new point(114.54, 38.42));
points.put("guangcheng", new point(114.84, 38.03));
points.put("gaoyi", new point(114.58, 37.62));
points.put("zhaoxian", new point(114.78, 37.76));
points.put("jinxing", new point(114.13, 38.03));
points.put("luquan", new point(114.03, 38.08));
points.put("xinle", new point(114.67, 38.33));
points.put("zhengding", new point(114.56, 38.13));
// 添加地理信息
redistemplate.boundgeoops(geo_stage).add(points);
}
@postmapping("/city")
@apioperation("获得城市")
public commonresult<georesults<redisgeocommands.geolocation<string>>> dis(@requestbody locationbo locationbo) {
//设置当前位置
point point = new point(locationbo.getlongitude(), locationbo.getlatitude());
//设置半径范围
metric metric = redisgeocommands.distanceunit.meters;
distance distance = new distance(locationbo.getradius(), metric);
circle circle = new circle(point, distance);
//设置参数 包括距离、坐标、条数
redisgeocommands.georadiuscommandargs args = redisgeocommands
.georadiuscommandargs
.newgeoradiusargs()
.includedistance()
.includecoordinates()
.sortascending()
.limit(locationbo.getlimit());
georesults<redisgeocommands.geolocation<string>> radius = citiesgeoops.radius(circle, args);
return commonresult.success(radius);
}
}测试数据
### 使用的是httpclient
post http://localhost:6001/geo/city
content-type: application/json
{
"longitude": 114.56,
"latitude": 38.13,
"radius": 100000,
"limit": 10
}返回结果
{
"code": 200,
"message": "操作成功",
"data": {
"averagedistance": {
"value": 31642.19217777778,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.004961039905191403
},
"content": [
{
"content": {
"name": "zhengding",
"point": {
"x": 114.55999821424484,
"y": 38.12999923666221
}
},
"distance": {
"value": 0.1778,
"metric": "meters",
"unit": "m",
"normalizedvalue": 2.787647866453794e-8
}
},
{
"content": {
"name": "shijiazhuang",
"point": {
"x": 114.55999821424484,
"y": 38.02999941748397
}
},
"distance": {
"value": 13144.3531,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.0020608452123245394
}
},
{
"content": {
"name": "xinle",
"point": {
"x": 114.55999821424484,
"y": 38.329998875018696
}
},
"distance": {
"value": 24232.5609,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.0037993164618445796
}
},
{
"content": {
"name": "guangcheng",
"point": {
"x": 114.55999821424484,
"y": 38.02999941748397
}
},
"distance": {
"value": 26919.7324,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.004220626242427844
}
},
{
"content": {
"name": "xingtang",
"point": {
"x": 114.55999821424484,
"y": 38.419999219223335
}
},
"distance": {
"value": 32302.7819,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.005064610857371048
}
},
{
"content": {
"name": "jinxing",
"point": {
"x": 114.55999821424484,
"y": 38.02999941748397
}
},
"distance": {
"value": 39255.7243,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.006154732063610425
}
},
{
"content": {
"name": "zhaoxian",
"point": {
"x": 114.55999821424484,
"y": 37.760000919591185
}
},
"distance": {
"value": 45453.0791,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.007126388018946599
}
},
{
"content": {
"name": "luquan",
"point": {
"x": 114.55999821424484,
"y": 38.07999932707309
}
},
"distance": {
"value": 46718.8049,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.00732483559070619
}
},
{
"content": {
"name": "gaoyi",
"point": {
"x": 114.55999821424484,
"y": 37.62000066579741
}
},
"distance": {
"value": 56752.5152,
"metric": "meters",
"unit": "m",
"normalizedvalue": 0.00889797682301274
}
}
]
}
}response code: 200; time: 92ms; content length: 1844 bytes
上传的只是练习项目，同理只需要将城市名称换成职业id即可
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