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【服务器相关】Redis实战之商城购物车功能的实现代码

发表时间:2025-09-24 16:09:00 小编:主机乐-Yutio

目标

利用Redis实现商城购物车功能。

功能

根据用户编号查询购物车列表,且各个商品需要跟在对应的店铺下;统计购物车中的商品总数;新增或删减购物车商品;增加或减少购物车中的商品数量。


分析

Hash数据类型:值为多组映射,相当于JAVA中的Map。适合存储对象数据类型。因为用户ID作为唯一的身份标识,所以可以把模块名称+用户ID作为Redis的键;商品ID作为商品的唯一标识,可以把店铺编号+商品ID作为Hash元素的键,商品数量为元素的值。


代码实现

控制层


package com.shoppingcart.controller; import com.shoppingcart.service.ShoppingCartServer;import org.springframework.web.bind.annotation.*;import javax.annotation.Resource;import java.util.List;import java.util.Map; /** * redis实现购物车功能 */@RestController@RequestMapping("/shoppingCart")public class ShoppingCartController { @Resource private ShoppingCartServer shoppingCartServer;/*** http://localhost:8099/shoppingCart/addCommodity?userId=001&shopId=1234560&commodityId=001&commodityNum=336* 添加商品* @return* @param: userId 用户ID* @param: [{shopId:商铺id,commodityId:商品id,commodityNum:商品数量},{shopId:商铺id,commodityId:商品id,commodityNum:商品数量}]* 测试数据:[{"shopId": 123,"commodityId": 145350,"commodityNum": 155.88},{"shopId": 123,"commodityId": 6754434,"commodityNum": 945.09},{"shopId": 123,"commodityId": 7452,"commodityNum": 2445.09},{"shopId": 3210,"commodityId": 98766,"commodityNum": 2345.09},{"shopId": 456,"commodityId": 2435640,"commodityNum": 11945.09}]*/ @GetMapping("/addCommodity") public Map<String, Object> addCommodity( @RequestParam(value = "userId", required = true) String userId, @RequestBody List<Map<String, Object>> list ) {Map<String, Object> map = shoppingCartServer.addCommodity(userId, list);return map; }/*** 购物车列表* http://localhost:8099/shoppingCart/shoppingCartList?userId=001** @param userId* @return 返回{店铺ID:商品ID=商品数量}的map。*/ @GetMapping("/shoppingCartList") public Map<Object, Object> shoppingCartList( @RequestParam(value = "userId", required = true) String userId, @RequestParam(value = "pageNo", defaultValue = "0") Long pageNo, @RequestParam(value = "pageSize", defaultValue = "10") Long pageSize ) {Map<Object, Object> map = shoppingCartServer.shoppingCartList(userId, pageNo, pageSize);return map; }/*** http://localhost:8099/shoppingCart/updateNum?userId=001&shopId=01&comId=123456&num=342* 修改商品数量。** @param userId用户id* @param commodityId 商品id* @param commodityNum 商品数量* @return*/ @GetMapping("/updateNum") public Map<String, Object> updateNum( @RequestParam(value = "userId", required = true) String userId, @RequestParam(value = "shopId", required = true) Long shopId, @RequestParam(value = "commodityId", required = true) Long commodityId, @RequestParam(value = "commodityNum", required = true) Double commodityNum ) {return shoppingCartServer.updateNum(userId, shopId, commodityId, commodityNum); }/*** http://localhost:8099/shoppingCart/delCom?userId=001&shopId=01&comId=123457* 删除购物车中的商品* @return* @param: userId 用户id* @param: [{shopId:商铺id,commodityId:商品id},{shopId:商铺id,commodityId:商品id}]*/ @PostMapping("/delCommodity") public Map<String, Object> delCommodity( @RequestParam(value = "userId", required = true) String userId, @RequestBody List<Map<String, Object>> list ) {return shoppingCartServer.delCommodity(userId, list); }}

业务层


package com.shoppingcart.service; import java.util.List;import java.util.Map; public interface ShoppingCartServer { //购物车列表 public Map<Object, Object> shoppingCartList(String userId,Long pageNo,Long pageSize); Map<String,Object> updateNum(String userId,Long shopId, Long commodityId, Double commodityNum); Map<String, Object> delCommodity(String userId, List<Map<String , Object>> list); Map<String, Object> addCommodity(String userId, List<Map<String , Object>> list);}

package com.shoppingcart.service.impl; import com.shoppingcart.service.ShoppingCartServer;import com.shoppingcart.utils.RedisService;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.stereotype.Service; import java.util.ArrayList;import java.util.HashMap;import java.util.List;import java.util.Map; @Servicepublic class ShoppingCartServerImpl implements ShoppingCartServer { @Autowired private RedisService redisService; //购物车键名前缀 public static final String SHOPPING_CART = "shoppingCart:"; //购物车的元素键名前缀 public static final String SHOP_ID = "shopId";//添加商品 @Override public Map<String, Object> addCommodity(String userId, List<Map<String, Object>> list) {//记录:list中有哪些商品在购物车中已经存在。List<String> existCommoditys = new ArrayList<>();//todo 购物车keyString key = SHOPPING_CART + userId;for (int i = 0; i < list.size(); i++) { String commodityKey = SHOP_ID + list.get(i).get("shopId") + ":" + list.get(i).get("commodityId"); //todo 添加商品 boolean boo = redisService.hsetnx(key, commodityKey, Double.parseDouble(list.get(i).get("commodityNum") + "")); if (!boo) {existCommoditys.add(commodityKey); }}Map<String, Object> m = new HashMap<String, Object>() { {put("existCommoditys", existCommoditys);put("existCommoditysMsg", "这些商品在购物车中已经存在,重复数量:"+existCommoditys.size()+"。"); }};Map<String, Object> map = new HashMap<String, Object>();map.put("data", m);map.put("code", 0);return map; }//购物车列表 @Override public Map<Object, Object> shoppingCartList(String userId, Long pageNo, Long pageSize) {//返回{店铺ID:商品ID=商品数量}的map。Map<Object, Object> map = redisService.hmget(SHOPPING_CART + userId);return map; }//修改商品数量 @Override public Map<String, Object> updateNum(String userId, Long shopId, Long commodityId, Double commodityNum) {Map<String, Object> map = new HashMap<String, Object>();//todo 购物车keyString key = SHOPPING_CART + userId;//todo 商品keyString commodityKey = SHOP_ID + shopId + ":" + commodityId;//修改购物车的数量boolean boo = redisService.hset(key, commodityKey, commodityNum);Map<String, Object> m = new HashMap<String, Object>() { {put("key", key);put("commodityKey", commodityKey);put("commodityNum", commodityNum); }};map.put("data", m);map.put("msg", boo == true ? "修改购物车商品数量成功。" : "修改购物车商品数量失败。");map.put("code", boo == true ? 0 : 1);return map; }//删除商品 @Override public Map<String, Object> delCommodity(String userId, List<Map<String, Object>> list) {Map<String, Object> map = new HashMap<String, Object>();String[] commodityIds = new String[list.size()];for (int i = 0; i < list.size(); i++) { //todo 商品key commodityIds[i] = SHOP_ID + list.get(i).get("shopId") + ":" + list.get(i).get("commodityId");}//todo 购物车keyString key = SHOPPING_CART + userId;//删除商品的数量Long num = redisService.hdel(key, commodityIds);map.put("msg", "删除购物车的商品数量:" + num);map.put("code", 0);return map; }}

 

工具类


package com.shoppingcart.utils; import java.text.SimpleDateFormat;import java.util.Date; public class DateUtils { // 日期转字符串,返回指定的格式 public static String dateToString(Date date, String dateFormat) {SimpleDateFormat sdf = new SimpleDateFormat(dateFormat);return sdf.format(date); }}

package com.shoppingcart.utils; import com.alibaba.fastjson.JSONObject;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.redis.connection.RedisZSetCommands;import org.springframework.data.redis.connection.SortParameters;import org.springframework.data.redis.core.DefaultTypedTuple;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.ZSetOperations;import org.springframework.stereotype.Service;import org.springframework.util.CollectionUtils;import org.w3c.dom.ranges.Range; import java.util.*;import java.util.concurrent.TimeUnit;import java.util.stream.Collectors; @Servicepublic class RedisService {@Autowired private RedisTemplate<String, Object> redisTemplate;// =============================common============================/*** 指定缓存失效时间** @param key 键* @param time 时间(秒)* @return*/ public boolean expire(String key, long time) {try { if (time > 0) {redisTemplate.expire(key, time, TimeUnit.SECONDS); } return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 根据key 获取过期时间** @param key 键 不能为null* @return 时间(秒) 返回0代表为永久有效*/ public long getExpire(String key) {return redisTemplate.getExpire(key, TimeUnit.SECONDS); }/*** 判断key是否存在** @param key 键* @return true 存在 false不存在*/ public boolean hasKey(String key) {try { return redisTemplate.hasKey(key);} catch (Exception e) { e.printStackTrace(); return false;} }/*** 删除缓存** @param key 可以传一个值 或多个*/ @SuppressWarnings("unchecked") public void del(String... key) {if (key != null && key.length > 0) { if (key.length == 1) {redisTemplate.delete(key[0]); } else {List<String> list = new ArrayList<>(Arrays.asList(key));redisTemplate.delete(list); }} }/*** 删除缓存** @param keys 可以传一个值 或多个*/ @SuppressWarnings("unchecked") public void del(Collection keys) {if (org.apache.commons.collections4.CollectionUtils.isNotEmpty(keys)) { redisTemplate.delete(keys);} }// ============================String=============================/*** 普通缓存获取** @param key 键* @return 值*/ public Object get(String key) {return key == null ? null : redisTemplate.opsForValue().get(key); }/*** 普通缓存放入** @param key 键* @param value 值* @return true成功 false失败*/ public boolean set(String key, Object value) {try { redisTemplate.opsForValue().set(key, value); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 普通缓存放入并设置时间** @param key 键* @param value 值* @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期* @return true成功 false 失败*/ public boolean set(String key, Object value, long time) {try { if (time > 0) {redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS); } else {set(key, value); } return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 递增** @param key 键* @param delta 要增加几(大于0)* @return*/ public long incr(String key, long delta) {if (delta < 0) { throw new RuntimeException("递增因子必须大于0");}return redisTemplate.opsForValue().increment(key, delta); }/*** 递减** @param key 键* @param delta 要减少几(小于0)* @return*/ public long decr(String key, long delta) {if (delta < 0) { throw new RuntimeException("递减因子必须大于0");}return redisTemplate.opsForValue().increment(key, -delta); }// ================================Hash=================================/*** HashGet** @param key 键 不能为null* @param item 项 不能为null* @return 值*/ public Object hget(String key, String item) {return redisTemplate.opsForHash().get(key, item); }/*** 获取hashKey对应的所有键值** @param key 键* @return 对应的多个键值*/ public Map<Object, Object> hmget(String key) {Map<Object, Object> entries = redisTemplate.opsForHash().entries(key);return entries; }/*** HashSet** @param key 键* @param map 对应多个键值* @return true 成功 false 失败*/ public boolean hmset(String key, Map<String, Object> map) {try { redisTemplate.opsForHash().putAll(key, map); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** HashSet 并设置时间** @param key 键* @param map 对应多个键值* @param time 时间(秒)* @return true成功 false失败*/ public boolean hmset(String key, Map<String, Object> map, long time) {try { redisTemplate.opsForHash().putAll(key, map); if (time > 0) {expire(key, time); } return true;} catch (Exception e) { e.printStackTrace(); return false;} } /*** 向一张hash表中放入数据,如果存在就覆盖原来的值。** @param key 键* @param item 项* @param value 值* @return true 成功 false失败*/ public boolean hset(String key, String item, Object value) {try { redisTemplate.opsForHash().put(key, item, value); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 向一张hash表中放入数据,如果存在就覆盖原来的值。** @param key 键* @param item 项* @param value 值* @param time 时间(秒) 注意:如果已存在的hash表有时间,这里将会替换原有的时间* @return true 成功 false失败*/ public boolean hset(String key, String item, Object value, long time) {try { redisTemplate.opsForHash().put(key, item, value); if (time > 0) {expire(key, time); } return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 删除hash表中的值** @param key 键 不能为null* @param item 项 可以使多个 不能为null*返回被删除的数量*/ public Long hdel(String key, Object... item) {return redisTemplate.opsForHash().delete(key, item); }/*** 删除hash表中的值** @param key 键 不能为null* @param items 项 可以使多个 不能为null*/ public void hdel(String key, Collection items) {redisTemplate.opsForHash().delete(key, items.toArray()); }/*** 判断hash表中是否有该项的值** @param key 键 不能为null* @param item 项 不能为null* @return true 存在 false不存在*/ public boolean hHasKey(String key, String item) {return redisTemplate.opsForHash().hasKey(key, item); }/*** hash数据类型:给元素一个增量 如果不存在,就会创建一个 并把新增后的值返回** @param key 键* @param item 项* @param delta 要增加几(大于0)* @return*/ public double hincr(String key, String item, double delta) {return redisTemplate.opsForHash().increment(key, item, delta); } // ============================set=============================/*** 根据key获取Set中的所有值** @param key 键* @return*/ public Set<Object> sGet(String key) {try { return redisTemplate.opsForSet().members(key);} catch (Exception e) { e.printStackTrace(); return null;} }/*** 根据value从一个set中查询,是否存在** @param key 键* @param value 值* @return true 存在 false不存在*/ public boolean sHasKey(String key, Object value) {try { return redisTemplate.opsForSet().isMember(key, value);} catch (Exception e) { e.printStackTrace(); return false;} }/*** 将数据放入set缓存** @param key 键* @param values 值 可以是多个* @return 成功个数*/ public long sSet(String key, Object... values) {try { return redisTemplate.opsForSet().add(key, values);} catch (Exception e) { e.printStackTrace(); return 0;} }/*** 将数据放入set缓存** @param key 键* @param values 值 可以是多个* @return 成功个数*/ public long sSet(String key, Collection values) {try { return redisTemplate.opsForSet().add(key, values.toArray());} catch (Exception e) { e.printStackTrace(); return 0;} }/*** 将set数据放入缓存** @param key 键* @param time 时间(秒)* @param values 值 可以是多个* @return 成功个数*/ public long sSetAndTime(String key, long time, Object... values) {try { Long count = redisTemplate.opsForSet().add(key, values); if (time > 0)expire(key, time); return count;} catch (Exception e) { e.printStackTrace(); return 0;} }/*** 获取set缓存的长度** @param key 键* @return*/ public long sGetSetSize(String key) {try { return redisTemplate.opsForSet().size(key);} catch (Exception e) { e.printStackTrace(); return 0;} }/*** 移除值为value的** @param key 键* @param values 值 可以是多个* @return 移除的个数*/ public long setRemove(String key, Object... values) {try { Long count = redisTemplate.opsForSet().remove(key, values); return count;} catch (Exception e) { e.printStackTrace(); return 0;} }// ===============================list=================================/*** 获取list缓存的内容** @param key 键* @param start 开始* @param end 结束 0 到 -1代表所有值* @return*/ public List<Object> lGet(String key, long start, long end) {try { return redisTemplate.opsForList().range(key, start, end);} catch (Exception e) { e.printStackTrace(); return null;} }/*** 获取list缓存的长度** @param key 键* @return*/ public long lGetListSize(String key) {try { return redisTemplate.opsForList().size(key);} catch (Exception e) { e.printStackTrace(); return 0;} }/*** 通过索引 获取list中的值** @param key 键* @param index 索引 index>=0时, 0 表头,1 第二个元素,依次类推;index<0时,-1,表尾,-2倒数第二个元素,依次类推* @return*/ public Object lGetIndex(String key, long index) {try { return redisTemplate.opsForList().index(key, index);} catch (Exception e) { e.printStackTrace(); return null;} }/*** 将list放入缓存** @param key 键* @param value 值* @return*/ public boolean lSet(String key, Object value) {try { redisTemplate.opsForList().rightPush(key, value); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 将list放入缓存** @param key 键* @param value 值* @param time 时间(秒)* @return*/ public boolean lSet(String key, Object value, long time) {try { redisTemplate.opsForList().rightPush(key, value); if (time > 0)expire(key, time); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 将list放入缓存** @param key 键* @param value 值* @return*/ public boolean lSet(String key, List<Object> value) {try { redisTemplate.opsForList().rightPushAll(key, value); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 将list放入缓存** @param key 键* @param value 值* @param time 时间(秒)* @return*/ public boolean lSet(String key, List<Object> value, long time) {try { redisTemplate.opsForList().rightPushAll(key, value); if (time > 0)expire(key, time); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 根据索引修改list中的某条数据** @param key 键* @param index 索引* @param value 值* @return*/ public boolean lUpdateIndex(String key, long index, Object value) {try { redisTemplate.opsForList().set(key, index, value); return true;} catch (Exception e) { e.printStackTrace(); return false;} }/*** 移除N个值为value** @param key 键* @param count 移除多少个* @param value 值* @return 移除的个数*/ public long lRemove(String key, long count, Object value) {try { Long remove = redisTemplate.opsForList().remove(key, count, value); return remove;} catch (Exception e) { e.printStackTrace(); return 0;} } // ===============================Zset=================================/*** 给key键的value增加value分数,没有则会创建。** @param key 键* @param value 值* @param score 分数*/ public Double incrementScore(String key, String value, double score) {//Boolean add = redisTemplate.boundZSetOps(key).add(value, score);Double add = redisTemplate.boundZSetOps(key).incrementScore(value, score);return add; }/*** 获得指定Zset元素的分数** @param key* @param value* @return*/ public Double score(String key, String value) {Double score = redisTemplate.boundZSetOps(key).score(value);return score; }/*** 升序查询key集合内[endTop,startTop]如果是负数表示倒数* endTop=-1,startTop=0表示获取所有数据。** @param key* @param startPage* @param endPage*/ public Set<ZSetOperations.TypedTuple<Object>> rangeWithScores(String key, int startPage, int endPage) {Set<ZSetOperations.TypedTuple<Object>> set = redisTemplate.boundZSetOps(key).rangeWithScores(startPage, endPage);return set; }/*** 降序查询key集合内[endTop,startTop],如果是负数表示倒数* endTop=-1,startTop=0表示获取所有数据。** @param key* @param startPage* @param endPage*/ public Set<ZSetOperations.TypedTuple<Object>> reverseRangeWithScores(String key, int startPage, int endPage) {Set<ZSetOperations.TypedTuple<Object>> set = redisTemplate.boundZSetOps(key).reverseRangeWithScores(startPage, endPage);return set; }/*** 批量新增数据** @param key* @param set* @return*/ public Long zsetAdd(String key, Set set) {Long add = redisTemplate.boundZSetOps(key).add(set);return add; }/*** 删除指定键的指定下标范围数据** @param key* @param startPage* @param endPage*/ public Long zsetRemoveRange(String key, int startPage, int endPage) {Long l = redisTemplate.boundZSetOps(key).removeRange(startPage, endPage);return l; } /*** 删除指定键的指定值** @param key* @param value*/ public Long zsetRemove(String key, String value) {Long remove = redisTemplate.boundZSetOps(key).remove(value);return remove; }}

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