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feat(ops): 新增 OpsRedisKeyBuilder 统一管理 Redis Key 租户隔离

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新建 OpsRedisKeyBuilder 集中式工具类，所有 Ops 模块 Redis Key 统一使用
:t{tenantId} 格式实现多租户隔离。迁移以下服务的 Key 构建：

- RedisOrderQueueServiceImpl（派单队列/信息/锁）
- UserDispatchStatusServiceImpl（调度状态）
- BadgeDeviceStatusServiceImpl（工牌状态）
- TrafficActiveOrderRedisDAO（客流活跃工单）
- TtsQueueConsumer（TTS 队列/锁/循环）
- OrderCodeGenerator（工单编码序号）
- AreaDeviceServiceImpl（区域设备配置缓存）
- TrafficStatisticsPersistJob（持久化锁）
- BadgeDeviceStatusRedisDAO（IoT 侧工牌状态）

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
lzh
2026-03-30 11:36:18 +08:00
parent a9941a29a9
commit df2d14ce26
15 changed files with 311 additions and 122 deletions
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12
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/infrastructure/code/OrderCodeGenerator.java
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@@ -1,6 +1,7 @@
package com.viewsh.module.ops.infrastructure.code;
import jakarta.annotation.Resource;
import com.viewsh.module.ops.infrastructure.redis.OpsRedisKeyBuilder;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;
@@ -26,8 +27,7 @@ import java.util.concurrent.TimeUnit;
@Service
public class OrderCodeGenerator {
private static final String KEY_PREFIX = "ops:order:code:";
private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyyMMdd");
private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyyMMdd");
private static final long DEFAULT_EXPIRE_DAYS = 7; // key 默认保留7天
@Resource
@@ -45,7 +45,7 @@ public class OrderCodeGenerator {
}
String dateStr = LocalDate.now().format(DATE_FORMATTER);
String key = KEY_PREFIX + businessType + ":" + dateStr;
String key = OpsRedisKeyBuilder.orderCode(businessType, dateStr);
// Redis 自增并获取新值
Long seq = stringRedisTemplate.opsForValue().increment(key);
@@ -74,7 +74,7 @@ public class OrderCodeGenerator {
*/
public long getCurrentSeq(String businessType) {
String dateStr = LocalDate.now().format(DATE_FORMATTER);
String key = KEY_PREFIX + businessType + ":" + dateStr;
String key = OpsRedisKeyBuilder.orderCode(businessType, dateStr);
String value = stringRedisTemplate.opsForValue().get(key);
return value == null ? 0 : Long.parseLong(value);
}
@@ -86,7 +86,7 @@ public class OrderCodeGenerator {
*/
public void reset(String businessType) {
String dateStr = LocalDate.now().format(DATE_FORMATTER);
String key = KEY_PREFIX + businessType + ":" + dateStr;
String key = OpsRedisKeyBuilder.orderCode(businessType, dateStr);
stringRedisTemplate.delete(key);
log.warn("重置工单编号序号: businessType={}, date={}", businessType, dateStr);
}

175
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/infrastructure/redis/OpsRedisKeyBuilder.java Normal file
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@@ -0,0 +1,175 @@
package com.viewsh.module.ops.infrastructure.redis;
import com.viewsh.framework.tenant.core.context.TenantContextHolder;
/**
* Ops 模块 Redis Key 统一构建器。
*/
public final class OpsRedisKeyBuilder {
private static final String ORDER_QUEUE_PREFIX = "ops:order:queue";
private static final String ORDER_QUEUE_INFO_PREFIX = "ops:order:queue:info";
private static final String ORDER_QUEUE_LOCK_PREFIX = "ops:order:queue:lock";
private static final String USER_DISPATCH_PREFIX = "ops:user:dispatch";
private static final String BADGE_STATUS_PREFIX = "ops:badge:status";
private static final String TRAFFIC_ACTIVE_ORDER_PREFIX = "ops:clean:traffic:active-order";
private static final String TTS_QUEUE_PREFIX = "ops:tts:queue";
private static final String TTS_LOCK_PREFIX = "ops:tts:lock";
private static final String TTS_LOOP_PREFIX = "ops:tts:loop";
private static final String ORDER_CODE_PREFIX = "ops:order:code";
private static final String AREA_DEVICE_CONFIG_PREFIX = "ops:area";
private static final String EVENT_DEDUP_PREFIX = "ops:dedup";
private static final String BADGE_DEDUP_PREFIX = "ops:badge:dedup";
private static final String TRAFFIC_PERSIST_LOCK_PREFIX = "ops:traffic:persist:lock";
private OpsRedisKeyBuilder() {
}
public static String orderQueue(Long userId) {
return orderQueue(TenantContextHolder.getRequiredTenantId(), userId);
}
public static String orderQueue(Long tenantId, Long userId) {
return tenantKey(ORDER_QUEUE_PREFIX, tenantId) + ":" + userId;
}
public static String orderQueuePattern() {
return orderQueuePattern(TenantContextHolder.getRequiredTenantId());
}
public static String orderQueuePattern(Long tenantId) {
return tenantKey(ORDER_QUEUE_PREFIX, tenantId) + ":*";
}
public static String orderQueueInfo(Long queueId) {
return orderQueueInfo(TenantContextHolder.getRequiredTenantId(), queueId);
}
public static String orderQueueInfo(Long tenantId, Long queueId) {
return tenantKey(ORDER_QUEUE_INFO_PREFIX, tenantId) + ":" + queueId;
}
public static String orderQueueInfoPattern() {
return orderQueueInfoPattern(TenantContextHolder.getRequiredTenantId());
}
public static String orderQueueInfoPattern(Long tenantId) {
return tenantKey(ORDER_QUEUE_INFO_PREFIX, tenantId) + ":*";
}
public static String orderQueueLock(Long cleanerId) {
return orderQueueLock(TenantContextHolder.getRequiredTenantId(), cleanerId);
}
public static String orderQueueLock(Long tenantId, Long cleanerId) {
return tenantKey(ORDER_QUEUE_LOCK_PREFIX, tenantId) + ":" + cleanerId;
}
public static String userDispatchStatus(Long userId) {
return userDispatchStatus(TenantContextHolder.getRequiredTenantId(), userId);
}
public static String userDispatchStatus(Long tenantId, Long userId) {
return tenantKey(USER_DISPATCH_PREFIX, tenantId) + ":" + userId;
}
public static String badgeStatus(Long deviceId) {
return badgeStatus(TenantContextHolder.getRequiredTenantId(), deviceId);
}
public static String badgeStatus(Long tenantId, Long deviceId) {
return tenantKey(BADGE_STATUS_PREFIX, tenantId) + ":" + deviceId;
}
public static String badgeStatusPattern() {
return badgeStatusPattern(TenantContextHolder.getRequiredTenantId());
}
public static String badgeStatusPattern(Long tenantId) {
return tenantKey(BADGE_STATUS_PREFIX, tenantId) + ":*";
}
public static String trafficActiveOrder(Long areaId) {
return trafficActiveOrder(TenantContextHolder.getRequiredTenantId(), areaId);
}
public static String trafficActiveOrder(Long tenantId, Long areaId) {
return tenantKey(TRAFFIC_ACTIVE_ORDER_PREFIX, tenantId) + ":" + areaId;
}
public static String ttsQueue(Long deviceId) {
return ttsQueue(TenantContextHolder.getRequiredTenantId(), deviceId);
}
public static String ttsQueue(Long tenantId, Long deviceId) {
return tenantKey(TTS_QUEUE_PREFIX, tenantId) + ":" + deviceId;
}
public static String ttsQueuePattern() {
return ttsQueuePattern(TenantContextHolder.getRequiredTenantId());
}
public static String ttsQueuePattern(Long tenantId) {
return tenantKey(TTS_QUEUE_PREFIX, tenantId) + ":*";
}
public static String ttsLock(Long deviceId) {
return ttsLock(TenantContextHolder.getRequiredTenantId(), deviceId);
}
public static String ttsLock(Long tenantId, Long deviceId) {
return tenantKey(TTS_LOCK_PREFIX, tenantId) + ":" + deviceId;
}
public static String ttsLoop(Long deviceId) {
return ttsLoop(TenantContextHolder.getRequiredTenantId(), deviceId);
}
public static String ttsLoop(Long tenantId, Long deviceId) {
return tenantKey(TTS_LOOP_PREFIX, tenantId) + ":" + deviceId;
}
public static String orderCode(String businessType, String dateStr) {
return orderCode(TenantContextHolder.getRequiredTenantId(), businessType, dateStr);
}
public static String orderCode(Long tenantId, String businessType, String dateStr) {
return tenantKey(ORDER_CODE_PREFIX, tenantId) + ":" + businessType + ":" + dateStr;
}
public static String areaDeviceConfig(Long areaId, String relationType) {
return areaDeviceConfig(TenantContextHolder.getRequiredTenantId(), areaId, relationType);
}
public static String areaDeviceConfig(Long tenantId, Long areaId, String relationType) {
return tenantKey(AREA_DEVICE_CONFIG_PREFIX, tenantId) + ":" + areaId + ":type:" + relationType;
}
public static String eventDedup(String type, String eventId) {
return eventDedup(TenantContextHolder.getRequiredTenantId(), type, eventId);
}
public static String eventDedup(Long tenantId, String type, String eventId) {
return tenantKey(EVENT_DEDUP_PREFIX, tenantId) + ":" + type + ":" + eventId;
}
public static String badgeDedup(String eventId) {
return badgeDedup(TenantContextHolder.getRequiredTenantId(), eventId);
}
public static String badgeDedup(Long tenantId, String eventId) {
return tenantKey(BADGE_DEDUP_PREFIX, tenantId) + ":status:" + eventId;
}
public static String trafficPersistLock() {
return trafficPersistLock(TenantContextHolder.getRequiredTenantId());
}
public static String trafficPersistLock(Long tenantId) {
return tenantKey(TRAFFIC_PERSIST_LOCK_PREFIX, tenantId);
}
private static String tenantKey(String prefix, Long tenantId) {
return prefix + ":t" + tenantId;
}
}

4
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/service/area/AreaDeviceService.java
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@@ -33,7 +33,7 @@ public interface AreaDeviceService {
/**
* 根据区域ID和关联类型查询单个启用的关联关系（带缓存）
* <p>
* 缓存Key: ops:area:{areaId}:type:{relationType}
* 缓存Key: ops:area:t{tenantId}:{areaId}:type:{relationType}
*
* @param areaId 区域ID
* @param relationType 关联类型
@@ -85,7 +85,7 @@ public interface AreaDeviceService {
/**
* 初始化区域设备配置缓存
* <p>
* 预热 ops:area:{areaId}:type:{relationType} 缓存
* 预热 ops:area:t{tenantId}:{areaId}:type:{relationType} 缓存
*/
void initConfigCache();

15
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/service/area/AreaDeviceServiceImpl.java
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@@ -4,6 +4,7 @@ import com.viewsh.framework.common.util.json.JsonUtils;
import com.viewsh.module.ops.api.area.AreaDeviceDTO;
import com.viewsh.module.ops.dal.dataobject.area.OpsAreaDeviceRelationDO;
import com.viewsh.module.ops.dal.mysql.area.OpsAreaDeviceRelationMapper;
import com.viewsh.module.ops.infrastructure.redis.OpsRedisKeyBuilder;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.InitializingBean;
@@ -18,7 +19,7 @@ import java.util.stream.Collectors;
* 区域设备关联服务实现
* <p>
* 缓存设计：
* - 唯一缓存Key: ops:area:{areaId}:type:{relationType}
* - 唯一缓存Key: ops:area:t{tenantId}:{areaId}:type:{relationType}
* - 用途: 存储区域+类型的设备配置（1对1绑定设备）
* - N对N设备（如工牌）: 先查DB获取关联区域，再用此Key获取配置
*
@@ -35,12 +36,10 @@ public class AreaDeviceServiceImpl implements AreaDeviceService, InitializingBea
private StringRedisTemplate stringRedisTemplate;
/**
* 缓存Key前缀: ops:area:{areaId}:type:{relationType}
* 缓存Key前缀: ops:area:t{tenantId}:{areaId}:type:{relationType}
* <p>
* 唯一的区域设备配置缓存，适用于所有设备类型
*/
private static final String CONFIG_CACHE_KEY_PREFIX = "ops:area:%s:type:%s";
/**
* 空值缓存标记
*/
@@ -72,7 +71,7 @@ public class AreaDeviceServiceImpl implements AreaDeviceService, InitializingBea
return null;
}
String cacheKey = String.format(CONFIG_CACHE_KEY_PREFIX, areaId, relationType);
String cacheKey = OpsRedisKeyBuilder.areaDeviceConfig(areaId, relationType);
// 1. 先读缓存
try {
@@ -180,8 +179,8 @@ public class AreaDeviceServiceImpl implements AreaDeviceService, InitializingBea
continue;
}
String cacheKey = String.format(CONFIG_CACHE_KEY_PREFIX,
relation.getAreaId(), relation.getRelationType());
String cacheKey = OpsRedisKeyBuilder.areaDeviceConfig(
relation.getTenantId(), relation.getAreaId(), relation.getRelationType());
try {
AreaDeviceDTO dto = toAreaDeviceDTO(relation);
@@ -217,7 +216,7 @@ public class AreaDeviceServiceImpl implements AreaDeviceService, InitializingBea
}
try {
String cacheKey = String.format(CONFIG_CACHE_KEY_PREFIX, areaId, relationType);
String cacheKey = OpsRedisKeyBuilder.areaDeviceConfig(areaId, relationType);
stringRedisTemplate.delete(cacheKey);
log.info("[AreaDevice] 清除配置缓存：areaId={}, type={}", areaId, relationType);
} catch (Exception e) {

6
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/service/dispatch/UserDispatchStatusServiceImpl.java
View File

@@ -1,6 +1,7 @@
package com.viewsh.module.ops.service.dispatch;
import com.viewsh.module.ops.api.dispatch.UserDispatchStatusDTO;
import com.viewsh.module.ops.infrastructure.redis.OpsRedisKeyBuilder;
import jakarta.annotation.PostConstruct;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
@@ -13,7 +14,7 @@ import java.util.*;
/**
* 通用人员调度状态服务 - Redis 实现
* <p>
* Redis Key: ops:user:dispatch:{userId}
* Redis Key: ops:user:dispatch:t{tenantId}:{userId}
* Redis Type: Hash
* TTL: 24h（每次写入刷新）
* <p>
@@ -25,7 +26,6 @@ import java.util.*;
@Service
public class UserDispatchStatusServiceImpl implements UserDispatchStatusService {
private static final String KEY_PREFIX = "ops:user:dispatch:";
private static final long TTL_SECONDS = 24 * 3600; // 24h
@Resource
@@ -256,7 +256,7 @@ public class UserDispatchStatusServiceImpl implements UserDispatchStatusService
// ==================== 私有方法 ====================
private String keyOf(Long userId) {
return KEY_PREFIX + userId;
return OpsRedisKeyBuilder.userDispatchStatus(userId);
}
private UserDispatchStatusDTO mapToDto(Long userId, Map<Object, Object> map) {

19
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/service/job/TrafficStatisticsPersistJob.java
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@@ -1,8 +1,10 @@
package com.viewsh.module.ops.service.job;
import com.viewsh.framework.tenant.core.context.TenantContextHolder;
import com.viewsh.framework.tenant.core.util.TenantUtils;
import com.viewsh.module.ops.dal.dataobject.statistics.OpsTrafficStatisticsDO;
import com.viewsh.module.ops.dal.mysql.statistics.OpsTrafficStatisticsMapper;
import com.viewsh.module.ops.infrastructure.redis.OpsRedisKeyBuilder;
import com.viewsh.module.ops.service.area.OpsBusAreaService;
import com.xxl.job.core.handler.annotation.XxlJob;
import jakarta.annotation.Resource;
@@ -36,7 +38,7 @@ import java.util.concurrent.TimeUnit;
public class TrafficStatisticsPersistJob {
private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyyMMdd");
private static final String LOCK_KEY = "ops:traffic:persist:lock";
private static final String LOCK_KEY = "ops:traffic:persist:lock"; // 全局锁（该 Job 不分租户执行）
private static final int LOCK_TTL_SECONDS = 300; // 5分钟锁超时
@Resource
@@ -61,8 +63,9 @@ public class TrafficStatisticsPersistJob {
log.info("[TrafficStatisticsPersistJob] 开始执行客流统计持久化任务");
// P0修复1: 获取分布式锁，防止并发执行导致双重计数
String lockKey = getLockKey();
Boolean locked = stringRedisTemplate.opsForValue()
.setIfAbsent(LOCK_KEY, String.valueOf(System.currentTimeMillis()),
.setIfAbsent(lockKey, String.valueOf(System.currentTimeMillis()),
LOCK_TTL_SECONDS, TimeUnit.SECONDS);
if (Boolean.FALSE.equals(locked)) {
@@ -108,7 +111,7 @@ public class TrafficStatisticsPersistJob {
return "执行失败: " + e.getMessage();
} finally {
// 释放分布式锁
stringRedisTemplate.delete(LOCK_KEY);
stringRedisTemplate.delete(lockKey);
}
}
@@ -326,6 +329,16 @@ public class TrafficStatisticsPersistJob {
}
}
/**
* 获取分布式锁 Key。
* <p>
* 该 Job 不使用 @TenantJob，而是全局扫描 IoT Redis Key 后按 tenantId 分发写入。
* 因此使用全局锁防止多节点并发执行。
*/
private String getLockKey() {
return LOCK_KEY;
}
/**
* 持久化结果枚举
*/

7
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/service/queue/RedisOrderQueueService.java
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@@ -11,13 +11,6 @@ import java.util.List;
*/
public interface RedisOrderQueueService {
/**
* Redis Key 前缀
*/
String QUEUE_KEY_PREFIX = "ops:order:queue:";
String INFO_KEY_PREFIX = "ops:order:queue:info:";
String LOCK_KEY_PREFIX = "ops:order:queue:lock:";
// ========== 队列操作 ==========
/**

47
viewsh-module-ops/viewsh-module-ops-biz/src/main/java/com/viewsh/module/ops/service/queue/RedisOrderQueueServiceImpl.java
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@@ -1,6 +1,7 @@
package com.viewsh.module.ops.service.queue;
import com.viewsh.module.ops.api.queue.OrderQueueDTO;
import com.viewsh.module.ops.infrastructure.redis.OpsRedisKeyBuilder;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.data.redis.core.StringRedisTemplate;
@@ -29,8 +30,8 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public boolean enqueue(OrderQueueDTO dto) {
try {
String queueKey = QUEUE_KEY_PREFIX + dto.getUserId();
String infoKey = INFO_KEY_PREFIX + dto.getId();
String queueKey = OpsRedisKeyBuilder.orderQueue(dto.getUserId());
String infoKey = OpsRedisKeyBuilder.orderQueueInfo(dto.getId());
// Redis 仅持久化服务层已计算好的最终总分，不再本地兜底重算
double score = requireQueueScore(dto, "enqueue");
@@ -66,8 +67,8 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
stringRedisTemplate.executePipelined((org.springframework.data.redis.core.RedisCallback<Object>) connection -> {
dtos.forEach(dto -> {
try {
byte[] queueKey = (QUEUE_KEY_PREFIX + dto.getUserId()).getBytes();
byte[] infoKey = (INFO_KEY_PREFIX + dto.getId()).getBytes();
byte[] queueKey = OpsRedisKeyBuilder.orderQueue(dto.getUserId()).getBytes();
byte[] infoKey = OpsRedisKeyBuilder.orderQueueInfo(dto.getId()).getBytes();
// Redis 仅持久化服务层已计算好的最终总分，不再本地兜底重算
double score = requireQueueScore(dto, "batchEnqueue");
@@ -102,7 +103,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public OrderQueueDTO dequeue(Long cleanerId) {
try {
String queueKey = QUEUE_KEY_PREFIX + cleanerId;
String queueKey = OpsRedisKeyBuilder.orderQueue(cleanerId);
// 使用 ZPOPMIN 原子性出队（获取并移除最高优先级任务）
// popMin 返回单个 TypedTuple<String>，值为 queueId
@@ -122,7 +123,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
Long queueId = Long.parseLong(queueIdStr);
// 从 Hash 获取详细信息
String infoKey = INFO_KEY_PREFIX + queueId;
String infoKey = OpsRedisKeyBuilder.orderQueueInfo(queueId);
Map<Object, Object> infoMap = stringRedisTemplate.opsForHash().entries(infoKey);
if (infoMap == null || infoMap.isEmpty()) {
@@ -149,7 +150,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public List<OrderQueueDTO> peekTasks(Long cleanerId, int count) {
try {
String queueKey = QUEUE_KEY_PREFIX + cleanerId;
String queueKey = OpsRedisKeyBuilder.orderQueue(cleanerId);
// 1. 查询前 N 个 queueId（按 score 排序）
Set<String> queueIds = stringRedisTemplate.opsForZSet().range(queueKey, 0, count - 1);
@@ -163,7 +164,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
.map(queueId -> {
try {
String idStr = queueId.toString();
String infoKey = INFO_KEY_PREFIX + idStr;
String infoKey = OpsRedisKeyBuilder.orderQueueInfo(Long.parseLong(idStr));
Map<Object, Object> infoMap = stringRedisTemplate.opsForHash().entries(infoKey);
if (infoMap != null && !infoMap.isEmpty()) {
return mapToDto(infoMap);
@@ -187,7 +188,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public long getQueueSize(Long cleanerId) {
try {
String queueKey = QUEUE_KEY_PREFIX + cleanerId;
String queueKey = OpsRedisKeyBuilder.orderQueue(cleanerId);
Long size = stringRedisTemplate.opsForZSet().size(queueKey);
return size != null ? size : 0;
} catch (Exception e) {
@@ -199,11 +200,11 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public long clearQueue(Long cleanerId) {
try {
String queueKey = QUEUE_KEY_PREFIX + cleanerId;
String queueKey = OpsRedisKeyBuilder.orderQueue(cleanerId);
Set<String> queueIds = stringRedisTemplate.opsForZSet().range(queueKey, 0, -1);
if (queueIds != null && !queueIds.isEmpty()) {
List<String> infoKeys = queueIds.stream()
.map(queueId -> INFO_KEY_PREFIX + queueId)
.map(queueId -> OpsRedisKeyBuilder.orderQueueInfo(Long.parseLong(queueId)))
.collect(Collectors.toList());
stringRedisTemplate.delete(infoKeys);
}
@@ -220,7 +221,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public boolean updateStatus(Long queueId, String newStatus) {
try {
String infoKey = INFO_KEY_PREFIX + queueId;
String infoKey = OpsRedisKeyBuilder.orderQueueInfo(queueId);
// 先从 Hash 获取 userId
Map<Object, Object> infoMap = stringRedisTemplate.opsForHash().entries(infoKey);
@@ -236,7 +237,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
}
Long userId = Long.parseLong(userIdObj.toString());
String queueKey = QUEUE_KEY_PREFIX + userId;
String queueKey = OpsRedisKeyBuilder.orderQueue(userId);
// 如果状态是 REMOVED，从 Sorted Set 中移除并删除 Hash
if ("REMOVED".equalsIgnoreCase(newStatus)) {
@@ -303,7 +304,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public boolean updatePriority(Long queueId, Integer newPriority) {
try {
String infoKey = INFO_KEY_PREFIX + queueId;
String infoKey = OpsRedisKeyBuilder.orderQueueInfo(queueId);
// 从 Hash 中获取数据
Map<Object, Object> infoMap = stringRedisTemplate.opsForHash().entries(infoKey);
@@ -318,7 +319,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
return false;
}
String queueKey = QUEUE_KEY_PREFIX + dto.getUserId();
String queueKey = OpsRedisKeyBuilder.orderQueue(dto.getUserId());
dto.setPriority(newPriority);
double newScore = requireQueueScore(dto, "updatePriority");
@@ -364,7 +365,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public boolean remove(Long queueId) {
try {
String infoKey = INFO_KEY_PREFIX + queueId;
String infoKey = OpsRedisKeyBuilder.orderQueueInfo(queueId);
// 从 Hash 中获取 userId
Map<Object, Object> infoMap = stringRedisTemplate.opsForHash().entries(infoKey);
@@ -378,7 +379,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
}
Long userId = Long.parseLong(userIdObj.toString());
String queueKey = QUEUE_KEY_PREFIX + userId;
String queueKey = OpsRedisKeyBuilder.orderQueue(userId);
// 使用 Lua 脚本原子性删除 Sorted Set 和 Hash
String script =
@@ -413,7 +414,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public OrderQueueDTO getByQueueId(Long queueId) {
try {
String infoKey = INFO_KEY_PREFIX + queueId;
String infoKey = OpsRedisKeyBuilder.orderQueueInfo(queueId);
Map<Object, Object> infoMap = stringRedisTemplate.opsForHash().entries(infoKey);
if (infoMap.isEmpty()) {
@@ -432,7 +433,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
public OrderQueueDTO getByOrderId(Long orderId) {
try {
// 查询所有 Hash 信息键（效率较低，慎用）
Set<String> keys = stringRedisTemplate.keys(INFO_KEY_PREFIX + "*");
Set<String> keys = stringRedisTemplate.keys(OpsRedisKeyBuilder.orderQueueInfoPattern());
if (keys == null || keys.isEmpty()) {
return null;
}
@@ -449,7 +450,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
if (dto == null || dto.getUserId() == null || dto.getId() == null) {
continue;
}
String queueKey = QUEUE_KEY_PREFIX + dto.getUserId();
String queueKey = OpsRedisKeyBuilder.orderQueue(dto.getUserId());
Double score = stringRedisTemplate.opsForZSet().score(queueKey, dto.getId().toString());
if (score != null) {
return dto;
@@ -477,7 +478,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public boolean tryLock(Long cleanerId, String lockValue, long expireTime) {
try {
String lockKey = LOCK_KEY_PREFIX + cleanerId;
String lockKey = OpsRedisKeyBuilder.orderQueueLock(cleanerId);
Boolean acquired = stringRedisTemplate.opsForValue()
.setIfAbsent(lockKey, lockValue, expireTime, TimeUnit.MILLISECONDS);
@@ -495,7 +496,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public boolean unlock(Long cleanerId, String lockValue) {
try {
String lockKey = LOCK_KEY_PREFIX + cleanerId;
String lockKey = OpsRedisKeyBuilder.orderQueueLock(cleanerId);
// 使用 Lua 脚本确保只删除自己的锁
String script = "if redis.call('get', KEYS[1]) == ARGV[1] then return redis.call('del', KEYS[1]) else return 0 end";
@@ -520,7 +521,7 @@ public class RedisOrderQueueServiceImpl implements RedisOrderQueueService {
@Override
public boolean forceUnlock(Long cleanerId) {
try {
String lockKey = LOCK_KEY_PREFIX + cleanerId;
String lockKey = OpsRedisKeyBuilder.orderQueueLock(cleanerId);
stringRedisTemplate.delete(lockKey);
log.warn("强制释放分布式锁: cleanerId={}", cleanerId);