Redis GEO实现附近搜索功能_数据库_开发者

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>

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));
      http://www.devze.com  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",
编程客栈 "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": &quphpot;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&quwOSJclpEot;: 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",
&http://www.devze.comnbsp; "unit": "m",
"normalizedValue": 0.00889797682301274
}
}
]
}
}

Response code: 200; Time: 92ms; Content length: 1844 bytes