程序员|灵感来了挡也挡不住，基于Redis解决业务场景中延迟队列
在一次产品需求设计中，有这样一种场景，对于一个工单，专员可以选择将工单挂起（一次挂起2小时；二次挂起12小时），或者转存（表单输入转存的天数），然后提交工单 到既定时间后，该工单需要重新被领单，然后再次审核。对于工单，有优先级概念，意味着优先级越大，该工单则需要优先被派单，对于这种场景，我们可以基于Redis来解决场景问题。一、业务概述 我们假定设置两个队列，一个队列维护正式工单，另一个队列维护挂起工单。对于挂起操作，我们通过Redis设置key有效时间，当key失效时，客户端监听失效事件，获取工单，实现 挂起工单队列的移除，正式队列的入队即可。
业务流程图：
文章图片
二、代码实现
文章图片
整个业务实现，可以分为三个大模块。
- 队列模块，通过WorkOrderQueueTransfer带外提供内部的调用。
- 工单模块、通过OperateStrategyManager管理器实现工单相关场景的操作。
- 事件监听、通过继承KeyExpirationEventMessageListener，实现对Key过期失效的监听（特别说明：Redis服务器redis.conf需要开启Key过期失效通知）。
我们可以基于Redis ZSet数据存储，ZSet是个有序集合，可以实现基于score排序。2.1.1、定义上下文类（WorkOrderContext）
/**
* @description: 工单上下文对象
* @Date : 2020/7/13 下午4:28
* @Author : 石冬冬-Seig Heil
*/
@Data
@NoArgsConstructor
@AllArgsConstructor
@Builder
public class WorkOrderContext {
/**
* 是否测试人员专用
*/
private boolean isTest;
/**
* 工单号
*/
private WorkOrder worOrder;
/**
* 队列类型
*/
private QueueType queueType;
/**
* 创建-正式队列（立即需要被派单
* @return
*/
public static WorkOrderContext buildImmediate() {
return WorkOrderContext.builder().queueType(QueueType.immediate).build();
}/**
* 创建-挂起队列（挂起n小时执行）
* @return
*/
public static WorkOrderContext buildSuspended() {
return WorkOrderContext.builder().queueType(QueueType.suspended).build();
}/**
* 转存队列（转存n天后执行）
* @return
*/
public static WorkOrderContext buildStored() {
return WorkOrderContext.builder().queueType(QueueType.stored).build();
}/**
* 创建-正式队列（立即需要被派单）
*
* @param workCode
* @param priority
* @return
*/
public static WorkOrderContext buildImmediate(String workCode, double priority) {
WorkOrder workOrder = WorkOrder.builder().workCode(workCode).priority(priority).delayedTime(0).build();
return WorkOrderContext.builder().worOrder(workOrder).queueType(QueueType.immediate).build();
}/**
* 创建-挂起队列（挂起n小时执行）
*
* @param workCode
* @param priority
* @param delayedTime
* @return
*/
public static WorkOrderContext buildSuspended(String workCode, double priority, long delayedTime) {
WorkOrder workOrder = WorkOrder.builder().workCode(workCode).priority(priority).delayedTime(delayedTime).build();
return WorkOrderContext.builder().worOrder(workOrder).queueType(QueueType.suspended).build();
}/**
* 转存队列（转存n天后执行）
*
* @param workCode
* @param priority
* @param delayedTime
* @return
*/
public static WorkOrderContext buildStored(String workCode, double priority, long delayedTime) {
WorkOrder workOrder = WorkOrder.builder().workCode(workCode).priority(priority).delayedTime(delayedTime).build();
return WorkOrderContext.builder().worOrder(workOrder).queueType(QueueType.stored).build();
}/**
* 队列类型
*/
public enum QueueType {
/**
* 正式队列（立即需要被派单）
*/
immediate,
/**
* 挂起队列（挂起n小时执行）
*/
suspended,
/**
* 转存队列（转存n天后执行）
*/
stored
}@Data
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class WorkOrder {
/**
* 工单号
*/
private String workCode;
/**
* 优先级
*/
private double priority;
/**
* 延迟时间
*/
private long delayedTime;
}
}2.1.2、定义抽象缓存类（AbstractCacheManager）
该抽象类定义了一个方法，抽象定义了一个具有重试机制的方法。其中注入的BeanRedisService是咱们子类基于Redis API的封装。
/**
* @description: 抽象缓存管理器
* @Date : 2020/7/18 下午9:41
* @Author : 石冬冬-Seig Heil
*/
@Slf4j
public abstract class AbstractCacheManager {final int MAX_RETRIES = 3;
@Autowired
RedisService redisService;
/**
* 重试操作
* @param retries 重试次数
* @param context 上下文
* @param call 重试动作
*/
public void retry(int retries, T context, Function call){
boolean done = false;
int retry = 1;
do {
try {
done = call.apply(retry);
log.info("[retry] context={},retry={},done={}", JSONObject.toJSON(context),retry,done);
retry ++;
TimeUnit.MILLISECONDS.sleep(100);
} catch (Exception e) {
log.error("[retry] 异常 ctx={}", JSONObject.toJSON(context),e);
retry ++;
}
}while (retry <= retries && !done);
}
} 2.1.3、定义基于Redis Cache的Manager类（WorkOrderCacheManager）
该类的主要作用，基于Redis String对象存储，实现具有Key失效机制的存储。
- 内部静态类CacheValue，作为Redis String对象存储的Value值。
- 内部枚举类CacheType，维护了缓存Key的业务前缀。
- 特别说明的是，我们构成Redis String存储Key的命名规则，例如：carCarthage:stored_cache_单号。
/**
* @description: 工单缓存管理器
* @Date : 2020/7/14 下午4:28
* @Author : 石冬冬-Seig Heil
*/
@Component
@Slf4j
public class WorkOrderCacheManager extends AbstractCacheManager{/**
* 设置缓存并设置缓存失效日期
* @param cache
*/
public void setCacheInExpire(CacheValue cache){
retry(MAX_RETRIES,cache,idx -> {
String redisKey = redisService.getKey(getRedisKeySuffix(cache.getType(),cache.getWorkCode()));
redisService.set(redisKey, JSONObject.toJSONString(cache),cache.getExpireSeconds());
log.info("[setCacheInExpire],redisKey={},CacheValue=https://www.it610.com/article/{}",redisKey,JSONObject.toJSONString(cache));
return Boolean.TRUE;
});
}/**
* 查询某个工单号的缓存值
* @param cacheType 缓存类型 {@link CacheType}
* @param workCode 工单号
* @return
*/
public CacheValue get(CacheType cacheType,String workCode){
String redisKey = redisService.getKey(getRedisKeySuffix(cacheType,workCode));
String value =https://www.it610.com/article/redisService.get(redisKey,String.class);
return JSONObject.parseObject(value,CacheValue.class);
}/**
* 从上下文队列类型获取队列redis key
* @param cacheType 缓存类型 {@link CacheType}
* @param workCode 工单号
* @return
*/
String getRedisKeySuffix(CacheType cacheType,String workCode){
switch (cacheType){
case stored_cache:
return CacheType.stored_cache.getKey() + workCode;
case suspended_cache:
return CacheType.suspended_cache.getKey() + workCode;
default:
break;
}
return null;
}/**
* 缓存值
*/
@Data
@NoArgsConstructor
@AllArgsConstructor
@Builder
public static class CacheValue{
/**
* 缓存类型
*/
private CacheType type;
/**
* 工单号
*/
private String workCode;
/**
* 优先级
*/
private double priority;
/**
* 延迟截止时间(单位：时间戳)
*/
private long delayedTime;
/**
* 缓存失效时间(单位：秒)
*/
private long expireSeconds;
/**
* 创建-挂起队列（挂起n小时执行）
*
* @param workCode
* @param priority
* @param delayedTime
* @param expireSeconds
* @return
*/
public static CacheValue buildSuspended(String workCode, double priority, long delayedTime,long expireSeconds) {
return CacheValue.builder()
.type(CacheType.suspended_cache)
.workCode(workCode)
.priority(priority)
.delayedTime(delayedTime)
.expireSeconds(expireSeconds)
.build();
}/**
* 转存队列（转存n天后执行）
*
* @param workCode
* @param priority
* @param delayedTime
* @param expireSeconds
* @return
*/
public static CacheValue buildStored(String workCode, double priority, long delayedTime,long expireSeconds) {
return CacheValue.builder()
.type(CacheType.stored_cache)
.workCode(workCode)
.priority(priority)
.delayedTime(delayedTime)
.expireSeconds(expireSeconds)
.build();
}
}/**
* 实现 挂起|转存 缓存key
*/
@Getter
public enum CacheType{
stored_cache("stored_cache_"),
suspended_cache("suspended_cache_"),
;
CacheType(String key) {
this.key = key;
}
private String key;
}
}2.1.4、工单队列管理器（WorkOrderQueueManager）
该类基于Redis ZSet 对象结构的有序集合，可以实现按照优先级出队。相关方法介绍：
- String getRedisKey(WorkOrderContext context)：从 WorkOrderContext中获取队列类型，返回集合要存储的Key。
- Long queueSize(WorkOrderContext context)：返回队列大小
- Boolean leftPush(WorkOrderContext context)：执行处理（入队操作）
- Boolean leftPushIfAbsent(WorkOrderContext context)：执行处理（入队操作），如果入队元素缺席则入队，返回true；否则返回false。
- Long remove(WorkOrderContext context)：从队列移除某个元素
- WorkOrderContext.WorkOrder pop(WorkOrderContext context)：从集合中获取评分最小的成员出队
- Set
rank(WorkOrderContext context)：按照升序查看队列中所有成员 - Long removeRange(String key, long start, long end)：按照范围移除队列元素
- Long removeValues(String key, List
- long getDelayedTime(WorkOrderContext.QueueType queueType,String workCode)：获取对应工单的延迟时间（适用于 挂起 和 转存）
/**
* @description: 工单队列管理器
* @Date : 2020/7/14 下午4:28
* @Author : 石冬冬-Seig Heil
*/
@Component
@Slf4j
public class WorkOrderQueueManager extends AbstractCacheManager{final String LOCK_KEY = "ZSET_ATOMIC_LOCK";
@Autowired
ZSetOperations zSetOperations;
@Autowired
WorkOrderCacheManager workOrderCacheManager;
/**
* 从上下文队列类型获取队列redis key
* @param context
* @return
*/
String getRedisKey(WorkOrderContext context){
String keySuffix = null;
switch (context.getQueueType()){
case immediate:
keySuffix = CarthageConst.WorkOrderKey.IMMEDIATE_QUEUE_DEFAULT;
break;
case stored:
keySuffix = CarthageConst.WorkOrderKey.STORED_QUEUE_DEFAULT;
break;
case suspended:
keySuffix = CarthageConst.WorkOrderKey.SUSPENDED_QUEUE_DEFAULT;
break;
default:
break;
}
if(null != keySuffix){
if(context.isTest()){
keySuffix += CarthageConst.TEST_SUFFIX;
}
return redisService.getKey(keySuffix);
}
return null;
}/**
* 返回队列大小
* @param context
* @return
*/
public Long queueSize(WorkOrderContext context) {
return zSetOperations.size(getRedisKey(context));
}/**
* 执行处理（入队操作）
* @param context
* @return
*/
public Boolean leftPush(WorkOrderContext context) {
String redisKey = getRedisKey(context);
String workCode = context.getWorOrder().getWorkCode();
double priority = context.getWorOrder().getPriority();
Boolean action = zSetOperations.add(redisKey,workCode,priority);
if(Objects.equals(Boolean.FALSE,action)){
Long value = https://www.it610.com/article/zSetOperations.rank(redisKey,workCode);
log.info("[Queue.leftPush],hasLeftPushed,action={},value=https://www.it610.com/article/{}, context={}", action,value,JSONObject.toJSON(context));
if(Objects.nonNull(value)){
return Boolean.TRUE;
}
}
log.info("[Queue.leftPush] context={}", JSONObject.toJSON(context));
retry(MAX_RETRIES,context,idx -> action);
return Optional.ofNullable(action).orElse(Boolean.FALSE);
}/**
* 执行处理（入队操作）
* 如果入队元素缺席则入队，返回true；否则返回false。
* @param context
* @return
*/
public Boolean leftPushIfAbsent(WorkOrderContext context) {
String redisKey = getRedisKey(context);
String workCode = context.getWorOrder().getWorkCode();
double priority = context.getWorOrder().getPriority();
Boolean action = zSetOperations.add(redisKey,workCode,priority);
log.info("[WorkOrderQueue.leftPushIfAbsent,action={},context={}",action, JSONObject.toJSON(context));
return Optional.ofNullable(action).orElse(Boolean.FALSE);
}/**
* 从队列移除某个元素
* @param context
* @return
*/
public Long remove(WorkOrderContext context){
String redisKey = getRedisKey(context);
String workCode = context.getWorOrder().getWorkCode();
log.info("[WorkOrderQueue.remove] context={}", JSONObject.toJSON(context));
Long rem = zSetOperations.remove(redisKey,workCode);
Long action = Optional.ofNullable(rem).orElse(0L);
retry(MAX_RETRIES,context,idx -> action.longValue() > 0);
return action;
}/**
* 从集合中获取评分最小的成员出队
* @param context
* @return
*/
public WorkOrderContext.WorkOrder pop(WorkOrderContext context) {
WorkOrderContext.WorkOrder workOrder = null;
try {
String redisKey = getRedisKey(context);
//通过分布式锁，实现 zset 的 zpopmin 命令操作
boolean locked = redisService.lock(LOCK_KEY,5000);
if(locked){
//1、取出第一个最小评分元素
Set> set = redisService.zSetOperations().rangeWithScores(redisKey,0,0);
if(set.isEmpty()){
return null;
}
//2、移除该最小评分元素
Long value = https://www.it610.com/article/redisService.zSetOperations().removeRange(redisKey,0,0);
retry(MAX_RETRIES,context,idx -> value.longValue() > 0);
//3、返回出队成员
workOrder = WorkOrderContext.WorkOrder.builder().build();
for(ZSetOperations.TypedTuple 2.2、工单队列转移管理器
2.2.1、工单队列转移管理器（WorkOrderQueueTransfer）
该类实现延迟队列出队、正式队列入队的原子操作（通过Redis分布式锁实现）。
/**
* @description: 工单队列转移管理器
* @Date : 2020/7/23 下午6:15
* @Author : 石冬冬-Seig Heil
*/
@Component
@Slf4j
public class WorkOrderQueueTransfer extends AbstractCacheManager{final static String ATOMIC_KEY = "delayed_queue_key_expire_lock_{0}";
final static long ATOMIC_KEY_EXPIRE = 5000;
@Autowired
RedisService redisService;
@Autowired
WorkOrderQueueManager workOrderQueueManager;
@Autowired
WorkOrderCacheManager workOrderCacheManager;
/**
* 从[挂起|暂存]队列转移到正式队列中
* @param cacheType 挂起|暂存
* @param delayedContext
* @return
*/
public Boolean transferImmediateQueue(WorkOrderCacheManager.CacheType cacheType,WorkOrderContext delayedContext){
boolean tryLock = false;
Boolean done = Boolean.FALSE;
String lockKey = null;
try {
WorkOrderContext.WorkOrder workOrder = delayedContext.getWorOrder();
lockKey = redisService.getKey(MessageFormat.format(ATOMIC_KEY,workOrder.getWorkCode()));
tryLock = redisService.lock(lockKey,ATOMIC_KEY_EXPIRE);
if(tryLock){
//1、构建正式队列
WorkOrderContext immediateContext = WorkOrderContext.buildImmediate(workOrder.getWorkCode(),workOrder.getPriority());
done = workOrderQueueManager.leftPushIfAbsent(immediateContext);
//2、从当前延迟队列移除该元素
Long count = workOrderQueueManager.remove(delayedContext);
log.info("[挂起|转存队remove],count={},delayedContext={}", count,JSONObject.toJSONString(delayedContext));
}
} catch (Exception e) {
log.error("[transferImmediateQueue]异常,delayedContext={},cacheType={}", JSONObject.toJSONString(delayedContext),cacheType);
}finally {
if(Objects.nonNull(lockKey) && tryLock){
redisService.unlock(lockKey);
}
}
return Optional.ofNullable(done).orElse(Boolean.FALSE);
}
}2.3、Redis过期key监听
2.3.1、Redis过期回调监听（RedisKeyExpirationListener）
/**
* @description: Redis过期回调监听
* @Date : 2020/7/18 上午10:43
* @Author : 石冬冬-Seig Heil
*/
@Component
@Slf4j
public class RedisKeyExpirationListener extends KeyExpirationEventMessageListener {final static String STORED_CACHE_KEY_PREFIX = WorkOrderCacheManager.CacheType.stored_cache.getKey();
final static String SUSPENDED_CACHE_KEY_PREFIX = WorkOrderCacheManager.CacheType.suspended_cache.getKey();
@Autowired
TraceLogService traceLogService;
@Autowired
RedisService redisService;
@Autowired
WorkOrderService workOrderService;
@Autowired
DelayedScheduledOperateBridge delayedScheduledOperateBridge;
public RedisKeyExpirationListener(RedisMessageListenerContainer listenerContainer) {
super(listenerContainer);
}@Override
public void onMessage(Message message, byte[] pattern) {
Date startTime = TimeTools.createNowTime();
String expiredKey = message.toString();
String bizPrefix = redisService.getKeyPrefix().getName();
if(!expiredKey.startsWith(bizPrefix)){
return;
}
String caseOfStored = redisService.getKey(STORED_CACHE_KEY_PREFIX);
String caseOfSuspended = redisService.getKey(SUSPENDED_CACHE_KEY_PREFIX);
WorkOrderCacheManager.CacheType cacheType;
WorkOrderContext.QueueType queueType;
if(expiredKey.startsWith(caseOfStored)){
queueType = WorkOrderContext.QueueType.stored;
cacheType = WorkOrderCacheManager.CacheType.stored_cache;
}else if(expiredKey.startsWith(caseOfSuspended)){
queueType = WorkOrderContext.QueueType.suspended;
cacheType = WorkOrderCacheManager.CacheType.suspended_cache;
}else{
return;
}
String workCode = getWorkCode(expiredKey);
log.info("监听到 redis key=[{}] 已过期",expiredKey);
if(Objects.nonNull(workCode)){
log.info("监听到 redis key=[{}],挂起|转存工单开始处理，workCode={}",expiredKey,workCode);
WorkOrder workOrder = workOrderService.queryOne(workCode);
if(Objects.isNull(workOrder)){
log.info("监听到 redis key=[{}],挂起|转存工单开始处理，未找到工单，workCode={}",expiredKey,workCode);
return;
}
WorkOrderContext delayedContext = WorkOrderContext.builder()
.worOrder(WorkOrderContext.WorkOrder.builder().delayedTime(5).priority(workOrder.getCasePriority()).workCode(workOrder.getWorkCode()).build())
.queueType(queueType). build();
Boolean done = delayedScheduledOperateBridge.transferImmediateQueue(cacheType,delayedContext);
saveTraceLog(delayedContext,done,traceLog -> {
JSONObject requestBody = new JSONObject();
requestBody.put("expiredKey",expiredKey);
requestBody.put("workCode",workCode);
traceLog.setRequestBody(requestBody.toJSONString());
traceLog.setRequestTime(startTime);
});
}
}/**
* traceLog入库
* @param context
* @param done
* @param consumer
*/
void saveTraceLog(WorkOrderContext context, Boolean done, Consumer consumer){
try {
String hostAddress = InetAddress.getLocalHost().getHostAddress();
JSONObject responseBody = new JSONObject();
responseBody.put("workOrderContext",context);
responseBody.put("transferImmediateQueue",done);
TraceLog traceLog = TraceLog.builder()
.appCode(context.getWorOrder().getWorkCode())
.url("["+hostAddress+"]redisKeyExpirationListener.onMessage")
.target(this.getClass().getPackage().getName() + "." + this.getClass().getSimpleName())
.responseBody(responseBody.toJSONString())
.responseTime(TimeTools.createNowTime())
.traceType(TraceTypeEnum.REDIS_KEY_EXPIRE.getIndex())
.build();
consumer.accept(traceLog);
traceLogService.insertRecord(traceLog);
} catch (Exception e) {
log.error("saveTraceLog exception,[context={}]",JSONObject.toJSONString(context),e);
}
}/**
* 从字符串截取制定的工单号
* @param value
* @return
*/
String getWorkCode(String value){
return value.substring(value.lastIndexOf("_") + 1);
}
} 2.4、延迟订单既定处理桥接器
该类的主要作用，就是通过WorkOrderQueueTransfer实现队列元素的转移，同时通过OperateStrategyManager实现工单的数据库表操作。
/**
* @description: 延迟订单既定处理处理桥接
* 场景描述：挂起|转存 工单到既定时间的处理
* @Date : 2020/7/23 22:20
* @Author : Seig Heil
*/
@Slf4j
@Component
public class DelayedScheduledOperateBridge {static final String LOCK_KEY = CarthageConst.KEY_EXPIRE_LISTENER_LOCK;
static final long EXPIRE_SECONDS = 120;
@Autowired
RedisService redisService;
@Autowired
WorkOrderQueueTransfer workOrderQueueTransfer;
@Autowired
OperateStrategyManager operateStrategyManager;
/**
* 实现从延迟队列到正式队列的转移业务处理，同时更新工单的状态
* @param cacheType
* @param delayedContext
* @return
*/
public Boolean transferImmediateQueue(WorkOrderCacheManager.CacheType cacheType, WorkOrderContext delayedContext){
String workCode = delayedContext.getWorOrder().getWorkCode();
boolean tryLock = false;
String redisKey = null;
try {
redisKey = redisService.getKey(MessageFormat.format(LOCK_KEY,workCode));
tryLock = redisService.lock(redisKey,EXPIRE_SECONDS);
if(!tryLock){
log.info("[DelayedScheduledOperateBridge.tryLock={}获取锁失败,redisKey={}]挂起|转存既定时间处理幂等，workCode={}",tryLock,redisKey,workCode);
}
if(tryLock){
log.info("[DelayedScheduledOperateBridge.tryLock={}获取锁成功,redisKey={}]挂起|转存既定时间处理幂等，workCode={}",tryLock,redisKey,workCode);
Boolean done = workOrderQueueTransfer.transferImmediateQueue(cacheType,delayedContext);
if(!done.booleanValue()){
return Boolean.FALSE;
}
OperateContext operateContext = OperateContext.builder()
.operateStrategyEnum(OperateContext.OperateStrategyEnum.DELAYED_SCHEDULED_ORDER)
.operateParam( OperateContext.OperateParam.builder().workCode(workCode).build()
).build();
operateStrategyManager.execute(operateContext);
log.info("[DelayedScheduledOperateBridge.transferImmediateQueue],delayedContext={},callResult={}",
JSONObject.toJSONString(delayedContext),JSONObject.toJSONString(operateContext.getExecuteResult()));
return operateContext.getExecuteResult().isSuccess();
}
} catch (Exception e) {
log.error("[DelayedScheduledOperateBridge]挂起|转存既定时间处理异常，workCode={},delayedContext={}",workCode,JSONObject.toJSONString(delayedContext));
}finally {
if(tryLock){
redisService.unlock(redisKey);
}
}
return false;
}
}2.5、工单操作管理器
该类的主要作用，就是对外暴露工单操作策略类的管理，外部无需关注策略类的存在，策略类实例的创建由该类负责。
- 通过OPERATE_STRATEGY_MAP维护枚举和策略类Bean的映射。
- 通过init()实现OPERATE_STRATEGY_MAP容器的初始化工作。
- 通过Result execute(OperateContext context)实现对外提供策略类的操作。
/**
* @description: GPS工单操作策略管理类
* @Date : 2020/7/15 下午5:43
* @Author : 石冬冬-Seig Heil
*/
@Component
@Slf4j
public class OperateStrategyManager {static final Map OPERATE_STRATEGY_MAP = Maps.newHashMapWithExpectedSize(6);
@Autowired
CreateOperateStrategy createOperateStrategy;
@Autowired
AllotOrderOperateStrategy allotOrderOperateStrategy;
@Autowired
SubmitWithFinishOperateStrategy submitWithFinishOperateStrategy;
@Autowired
SubmitWithStoreOperateStrategy submitWithStoreOperateStrategy;
@Autowired
SubmitWithSuspendOperateStrategy submitWithSuspendOperateStrategy;
@Autowired
DelayedScheduledOperateStrategy delayedScheduledOperateStrategy;
@Autowired
AssignOrderOperateStrategy assignOrderOperateStrategy;
@PostConstruct
private void init() {
OPERATE_STRATEGY_MAP.put(OperateContext.OperateStrategyEnum.INIT_WORK_ORDER, createOperateStrategy);
OPERATE_STRATEGY_MAP.put(OperateContext.OperateStrategyEnum.ALLOT_WORK_ORDER, allotOrderOperateStrategy);
OPERATE_STRATEGY_MAP.put(OperateContext.OperateStrategyEnum.STORE_WORK_ORDER, submitWithStoreOperateStrategy);
OPERATE_STRATEGY_MAP.put(OperateContext.OperateStrategyEnum.SUSPEND_WORK_ORDER, submitWithSuspendOperateStrategy);
OPERATE_STRATEGY_MAP.put(OperateContext.OperateStrategyEnum.FINISH_WORK_ORDER, submitWithFinishOperateStrategy);
OPERATE_STRATEGY_MAP.put(OperateContext.OperateStrategyEnum.DELAYED_SCHEDULED_ORDER, delayedScheduledOperateStrategy);
OPERATE_STRATEGY_MAP.put(OperateContext.OperateStrategyEnum.ASSIGN_ORDER, assignOrderOperateStrategy);
}/**
* 对外提供对策略类的调用
* @param context
* @return
*/
public Result execute(OperateContext context) {
StopWatch stopWatch = new StopWatch();
stopWatch.start("OperateStrategyManager.execute");
AbstractOperateStrategy operateStrategy = OPERATE_STRATEGY_MAP.get(context.getOperateStrategyEnum());
context.buildExecuteResultWithSuccess();
operateStrategy.execute(context);
Result executeResult = context.getExecuteResult();
if(context.getExecuteResult().isSuccess()) {
return Result.suc(executeResult.getMsg());
}
stopWatch.stop();
long spendMillSeconds = stopWatch.getLastTaskTimeMillis();
long duration = (System.currentTimeMillis() - spendMillSeconds) / 1000;
String executeResultMsg = executeResult.getMsg();
log.info("[execute] done,duration={},executeResultMsg={}",duration,executeResultMsg);
return Result.fail(RemoteEnum.FAILURE, executeResultMsg);
}
} 2.6、工单策略类实现
【程序员|灵感来了挡也挡不住，基于Redis解决业务场景中延迟队列】由于工单涉及到创建、挂起、转存、处理完结等操作，因此对于这类场景我们可以通过策略类来实现。2.6.1、挂起操作
/**
* @description: 提交调查结果（挂起操作）-策略类
* @Date : 2020/7/15 下午5:32
* @Author : 石冬冬-Seig Heil
*/
@Slf4j
@Component
public class SubmitWithSuspendOperateStrategy extends AbstractSubmitOperateStrategy{static final Map suspend_to_attention_event_map = new HashMap<>();
static final Map suspend_to_sub_status_map = new HashMap<>();
static final Map suspend_count_map = new HashMap<>();
static {suspend_to_attention_event_map.put(MoveToEnum.SUSPENDED_AT_ONCE,AttentionEventEnum.SUSPENDED_AT_ONCE);
suspend_to_attention_event_map.put(MoveToEnum.SUSPENDED_AT_TWICE,AttentionEventEnum.SUSPENDED_AT_TWICE);
suspend_to_sub_status_map.put(MoveToEnum.SUSPENDED_AT_ONCE,WorkOrderStatusEnum.SubStatusEnum.SUSPENDED_AT_ONCE);
suspend_to_sub_status_map.put(MoveToEnum.SUSPENDED_AT_TWICE,WorkOrderStatusEnum.SubStatusEnum.SUSPENDED_AT_TWICE);
suspend_count_map.put(MoveToEnum.SUSPENDED_AT_ONCE,1);
suspend_count_map.put(MoveToEnum.SUSPENDED_AT_TWICE,2);
log.info("init... suspend_to_attention_event_map={}",suspend_to_attention_event_map.toString());
log.info("init... suspend_to_sub_status_map={}",suspend_to_sub_status_map.toString());
log.info("init... suspend_count_map={}",suspend_count_map.toString());
}@Autowired
DiamondConfigProxy diamondConfigProxy;
@Override
public void prepare(OperateContext context) {
super.prepare(context);
SurveyResult surveyResult = context.getSurveyResult();
MoveToEnum moveToEnum = MoveToEnum.getByIndex(surveyResult.getMoveTo());
AttentionEvent attentionEvent = suspend_to_attention_event_map.getOrDefault(moveToEnum,null);
ATTENTION_EVENT_CONTEXT.set(attentionEvent);
context.setAttentionEvent(attentionEvent);
}@Override
WorkOrder buildWorkOrder(OperateContext context){
SurveyResult surveyResult = context.getSurveyResult();
MoveToEnum moveToEnum = MoveToEnum.getByIndex(surveyResult.getMoveTo());
WorkOrder workOrder = super.buildWorkOrder(context);
workOrder.setSuspendedCount(suspend_count_map.getOrDefault(moveToEnum,0).intValue());
workOrder.setMainStatus(WorkOrderStatusEnum.WAITING.getIndex());
workOrder.setSubStatus(suspend_to_sub_status_map.get(moveToEnum).getIndex());
workOrder.setIsFinished(Const.NON_INDEX);
workOrder.setIsStore(Const.NON_INDEX);
workOrder.setDelayedTime(context.getOperateParam().getDelayedTime());
return workOrder;
}@Override
void operationExtend(OperateContext context) {
long delayedTime = context.getOperateParam().getDelayedTime().getTime();
int delayedSeconds = context.getOperateParam().getDelayedSeconds();
WorkOrder workOrder = context.getWorkOrder();
WorkOrderContext cxt = WorkOrderContext.buildSuspended(workOrder.getWorkCode(),workOrder.getCasePriority(),delayedTime);
workOrderQueueManager.leftPush(cxt);
WorkOrderCacheManager.CacheValue cacheValue = https://www.it610.com/article/WorkOrderCacheManager.CacheValue.
buildSuspended(workOrder.getWorkCode(),workOrder.getCasePriority(),delayedTime,delayedSeconds);
workOrderCacheManager.setCacheInExpire(cacheValue);
super.operationExtend(context);
}@Override
public void setDelayedTime(OperateContext context) {
SurveyResult surveyResult = context.getSurveyResult();
MoveToEnum moveToEnum = MoveToEnum.getByIndex(surveyResult.getMoveTo());
DiamondConfig.SuspendOrderConfig suspendOrderConfig = diamondConfigProxy.suspendOrderConfig();
Date delayedTime = TimeTools.createNowTime();
int timeUnit = Calendar.HOUR_OF_DAY;
int delayedSeconds = 0;
int value = suspendOrderConfig.getConfig().getOrDefault(moveToEnum.name(),0);
switch (suspendOrderConfig.getTimeUnit()){
case"DAY":
timeUnit = Calendar.DAY_OF_YEAR;
delayedSeconds = value * 24 * 3600;
break;
case "HOUR":
timeUnit = Calendar.HOUR_OF_DAY;
delayedSeconds = value * 3600;
break;
case "MINUTE":
timeUnit = Calendar.MINUTE;
delayedSeconds = value * 60;
break;
case "SECOND":
timeUnit = Calendar.SECOND;
delayedSeconds = value;
break;
default:
break;
}TimeTools.addTimeField(delayedTime, timeUnit,value);
context.getOperateParam().setDelayedTime(delayedTime);
context.getOperateParam().setDelayedSeconds(delayedSeconds);
}
} 2.6.2、转存操作
/**
* @description: 提交调查结果（转存操作）-策略类
* @Date : 2020/7/15 下午5:32
* @Author : 石冬冬-Seig Heil
*/
@Slf4j
@Component
public class SubmitWithStoreOperateStrategy extends AbstractSubmitOperateStrategy{
/**
* 转存天数 换算 秒数
*/
static final int DAY_TO_SECONDS = 24 * 60 * 60;
@Override
public void prepare(OperateContext context) {
ATTENTION_EVENT_CONTEXT.set(AttentionEventEnum.STORE_ORDER);
context.setAttentionEvent(AttentionEventEnum.STORE_ORDER);
super.prepare(context);
}@Override
public boolean paramCheck(OperateContext context) {
if(Objects.isNull(context.getSurveyResult().getDelayedDays())){
context.buildExecuteResultWithFailure("[surveyResult.delayedDays]为空！");
}
if(context.getSurveyResult().getDelayedDays() == 0){
context.buildExecuteResultWithFailure("等待天数[delayedDays]必须大于0！");
}
return super.paramCheck(context);
}@Override
WorkOrder buildWorkOrder(OperateContext context){
WorkOrder workOrder = super.buildWorkOrder(context);
workOrder.setMainStatus(WorkOrderStatusEnum.PENDING.getIndex());
workOrder.setSubStatus(WorkOrderStatusEnum.SubStatusEnum.STORED.getIndex());
workOrder.setIsFinished(Const.NON_INDEX);
workOrder.setIsStore(Const.YES_INDEX);
//setSuspendedCount 这里需要重置为0，转存后派单流程状态依赖该字段
workOrder.setSuspendedCount(0);
workOrder.setDelayedTime(context.getOperateParam().getDelayedTime());
return workOrder;
}@Override
void operationExtend(OperateContext context) {
long delayedTime = context.getOperateParam().getDelayedTime().getTime();
int delayedSeconds = context.getOperateParam().getDelayedSeconds();
WorkOrder workOrder = context.getWorkOrder();
WorkOrderContext cxt = WorkOrderContext.buildStored(workOrder.getWorkCode(),workOrder.getCasePriority(),delayedTime);
workOrderQueueManager.leftPush(cxt);
WorkOrderCacheManager.CacheValue cacheValue = https://www.it610.com/article/WorkOrderCacheManager.CacheValue.
buildStored(workOrder.getWorkCode(),workOrder.getCasePriority(),delayedTime,delayedSeconds);
workOrderCacheManager.setCacheInExpire(cacheValue);
super.operationExtend(context);
}@Override
public void setDelayedTime(OperateContext context) {
int delayedDays = context.getSurveyResult().getDelayedDays();
Date delayedTime = TimeTools.createNowTime();
TimeTools.addTimeField(delayedTime, Calendar.DAY_OF_YEAR,delayedDays);
context.getOperateParam().setDelayedTime(delayedTime);
context.getOperateParam().setDelayedSeconds(delayedDays * DAY_TO_SECONDS);
}
}三、交互UI介绍
- 系统链路日志
文章图片
我们可以实现对于key失效事件监听，把工单落库，便于后期排查问题，无需再查看服务器日志。
- 队列监控
文章图片
输出队列元素，直观看到当前挂起、转存的工单。我们可以直观看到key的剩余存活时间。
- 参数配置
四、总结
在接到该需求后，尽管这个只是其中需求的一小部分，整个产品需求33页，内容还是丰富的，对于延迟队列操作，我在调研技术方案时，也考虑过其他方法，譬如java自带的带有延迟特性的 队列DelayedQueue（对于分布式多实例场景它就不适合了），以及可以通过RabbitMQ实现（感觉实现比较复杂），最终选择了Redis（可以利用相关数据特性比如ZSet,String,Expire），技术实现比较简单上手。
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