wangfukang
2 days ago
24 changed files with 751 additions and 138 deletions
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package cc.hiver.mall.pojo.vo; |
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import cc.hiver.core.entity.Worker; |
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import cc.hiver.mall.entity.WorkerRelaPrice; |
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import io.swagger.annotations.ApiModelProperty; |
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import lombok.Data; |
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import lombok.experimental.Accessors; |
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import java.io.Serializable; |
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import java.util.List; |
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/** |
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* 兼职缓存信息 |
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* @author 王富康 |
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*/ |
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@Data |
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@Accessors(chain = true) |
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public class WorkerRedisVo implements Serializable { |
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@ApiModelProperty(value = " 配送员ID") |
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private String workerId; |
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@ApiModelProperty(value = " 配送基本信息") |
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private Worker worker; |
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@ApiModelProperty(value = " 配送规则") |
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private List<WorkerRelaPrice> workerRelaPriceList; |
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} |
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@ -0,0 +1,244 @@ |
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package cc.hiver.mall.utils; |
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import cc.hiver.core.common.redis.RedisTemplateHelper; |
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import cc.hiver.mall.pojo.vo.WorkerRedisVo; |
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import cn.hutool.json.JSONUtil; |
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import lombok.extern.slf4j.Slf4j; |
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import org.apache.commons.lang3.StringUtils; |
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import org.springframework.beans.factory.annotation.Autowired; |
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import org.springframework.stereotype.Component; |
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import java.util.ArrayList; |
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import java.util.LinkedHashMap; |
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import java.util.List; |
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import java.util.Map; |
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/** |
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* 配送员信息缓存工具类 |
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* <p> |
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* 底层使用 Redis Hash 结构，保证按 regionId + workerId 维度的 O(1) 读写效率。 |
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* <pre> |
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* Key = WORKER_REDIS:{regionId} |
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* Field = workerId |
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* Value = WorkerRedisVo 的 JSON 序列化 |
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* </pre> |
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* <p> |
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* 使用场景：状态发生变化时（创建、更新、取消、完成等）， |
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* |
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* @author system |
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*/ |
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@Slf4j |
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@Component |
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public class WorkerRedisCacheUtil { |
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/** Redis Key 前缀 */ |
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private static final String KEY_PREFIX = "WORKER_REDIS:"; |
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@Autowired |
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private RedisTemplateHelper redisTemplateHelper; |
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// ================================================================
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// Key 构建
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// ================================================================
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private String buildKey(String regionId) { |
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return KEY_PREFIX + regionId; |
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} |
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// ================================================================
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// 存放（put）
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// ================================================================
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/** |
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* 存放单个到缓存 |
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* |
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* @param regionId 区域ID |
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* @param workerVO VO（必须包含有效的 id） |
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*/ |
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public void put(String regionId, WorkerRedisVo workerVO) { |
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if (StringUtils.isBlank(regionId) || workerVO == null || StringUtils.isBlank(workerVO.getWorkerId())) { |
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log.info("WorkerRedisCacheUtil.put 参数无效, workerId={}, workerVO={}", regionId, workerVO); |
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return; |
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} |
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try { |
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String key = buildKey(regionId); |
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String json = JSONUtil.toJsonStr(workerVO); |
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redisTemplateHelper.hPut(key, workerVO.getWorkerId(), json); |
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log.info("缓存配送员: regionId={}, workerId={}", regionId, workerVO.getWorkerId()); |
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} catch (Exception e) { |
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log.info("缓存配送员失败: regionId={}, workerId={}", regionId, workerVO.getWorkerId(), e); |
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} |
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} |
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/** |
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* 获取区域所有在线配送员 |
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* |
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* @param regionId |
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* @return |
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*/ |
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public List<WorkerRedisVo> getAll(String regionId) { |
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if (StringUtils.isBlank(regionId)) { |
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return null; |
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} |
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try { |
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String key = buildKey(regionId); |
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Map<Object, Object> entries = redisTemplateHelper.hGetAll(key); |
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if (entries == null || entries.isEmpty()) { |
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return null; |
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} |
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List<WorkerRedisVo> result = new ArrayList<>(entries.size()); |
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for (Object value : entries.values()) { |
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if (value != null) { |
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result.add(JSONUtil.toBean(value.toString(), WorkerRedisVo.class)); |
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} |
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} |
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return result; |
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} catch (Exception e) { |
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log.info("获取区域在线配送员缓存失败: regionId={}", regionId, e); |
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return null; |
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} |
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} |
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/** |
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* 批量存放到缓存（通常用于缓存预热 / 首次加载） |
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* |
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* @param regionId 区域ID |
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* @param orders 列表 |
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*/ |
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public void putAll(String regionId, List<WorkerRedisVo> orders) { |
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if (StringUtils.isBlank(regionId) || orders == null || orders.isEmpty()) { |
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return; |
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} |
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try { |
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String key = buildKey(regionId); |
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Map<String, String> map = new LinkedHashMap<>(orders.size()); |
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for (WorkerRedisVo order : orders) { |
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if (order != null && StringUtils.isNotBlank(order.getWorkerId())) { |
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map.put(order.getWorkerId(), JSONUtil.toJsonStr(order)); |
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} |
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} |
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if (!map.isEmpty()) { |
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redisTemplateHelper.hPutAll(key, map); |
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log.info("批量缓存配送员: regionId={}, count={}", regionId, map.size()); |
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} |
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} catch (Exception e) { |
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log.info("批量缓存配送员失败: regionId={}", regionId, e); |
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} |
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} |
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// ================================================================
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// 删除（remove）
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// ================================================================
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/** |
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* 根据 regionId 和 workerId 从缓存中删除指定 |
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* |
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* @param regionId 区域ID |
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* @param workerId ID |
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*/ |
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public void remove(String regionId, String workerId) { |
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if (StringUtils.isBlank(regionId) || StringUtils.isBlank(workerId)) { |
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log.info("UserPendingOrderCacheUtil.remove 参数无效, regionId={}, workerId={}", regionId, workerId); |
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return; |
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} |
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try { |
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String key = buildKey(regionId); |
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redisTemplateHelper.hDelete(key, workerId); |
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log.info("删除缓存: regionId={}, workerId={}", regionId, workerId); |
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} catch (Exception e) { |
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log.info("删除缓存失败: regionId={}, workerId={}", regionId, workerId, e); |
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} |
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} |
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/** |
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* 清除指定配送员所有缓存 |
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* <p> |
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* 典型场景：需要强制刷新该配送员缓存时调用。 |
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* |
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* @param regionId 区域ID |
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*/ |
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public void removeAll(String regionId) { |
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if (StringUtils.isBlank(regionId)) { |
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return; |
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} |
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try { |
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redisTemplateHelper.delete(buildKey(regionId)); |
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log.info("清除配送员缓存: regionId={}", regionId); |
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} catch (Exception e) { |
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log.info("清除配送员缓存失败: regionId={}", regionId, e); |
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} |
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} |
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// ================================================================
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// 更新（update）
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// ================================================================
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/** |
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* 根据 regionId 和 workerId 更新缓存中的信息 |
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* <p> |
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* |
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* @param regionId 区域ID |
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* @param workerVO 更新后的VO |
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*/ |
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public void update(String regionId, WorkerRedisVo workerVO) { |
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if (StringUtils.isBlank(regionId) || workerVO == null || StringUtils.isBlank(workerVO.getWorkerId())) { |
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log.warn("UserPendingOrderCacheUtil.update 参数无效, regionId={}, workerVO={}", regionId, workerVO); |
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return; |
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} |
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try { |
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// 如果状态已不属于，直接删除
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/*if (!isTerminalStatus(workerVO.getStatus())) { |
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remove(regionId, workerVO.getWorkerId()); |
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log.debug("已终态，从缓存移除: regionId={}, workerId={}, status={}", |
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regionId, workerVO.getWorkerId(), workerVO.getStatus()); |
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return; |
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}*/ |
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// 覆盖更新
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put(regionId, workerVO); |
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log.info("更新配送员缓存: regionId={}, workerId={}, status={}", |
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regionId, workerVO.getWorkerId()); |
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} catch (Exception e) { |
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log.info("更新用户信息缓存失败: regionId={}, workerId={}", regionId, workerVO.getWorkerId(), e); |
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} |
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} |
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/** |
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* 获取配送员缓存单个 |
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* |
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* @param regionId 区域ID |
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* @param workerId ID |
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* @return 缓存的VO，不存在时返回 null |
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*/ |
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public WorkerRedisVo get(String regionId, String workerId) { |
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if (StringUtils.isBlank(regionId) || StringUtils.isBlank(workerId)) { |
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return null; |
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} |
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try { |
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String key = buildKey(regionId); |
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Object value = redisTemplateHelper.hGet(key, workerId); |
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if (value == null) { |
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return null; |
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} |
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return JSONUtil.toBean(value.toString(), WorkerRedisVo.class); |
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} catch (Exception e) { |
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log.info("获取配送员单个缓存失败: regionId={}, workerId={}", regionId, workerId, e); |
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return null; |
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} |
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} |
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/** |
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* 判断该配送员的缓存是否已存在 |
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* |
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* @param regionId 区域ID |
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* @return true 表示缓存存在 |
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*/ |
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public boolean exists(String regionId) { |
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if (StringUtils.isBlank(regionId)) { |
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return false; |
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} |
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Boolean hasKey = redisTemplateHelper.hasKey(buildKey(regionId)); |
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return hasKey != null && hasKey; |
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} |
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} |
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