: https://www.dazhuanlan.com/2019/12/26/5e0409c45a205/ 对比测试 先看一个未使用functools.wraps的装饰器: def time_consuming_deco __name__, end - start)) return wrapper 下面使用上面的装饰器: @time_consuming_deco def f(): for i in range __name__) 运行结果为: f time consuming: 22.99853515625 ms f. __name__ : wrapper 再看一个使用了functools.wraps的装饰器: def time_consuming_deco(func): """ 还是上面计算运行func __name__, end - start)) return wrapper 再次运行上面的测试程序结果如下: f time consuming: 22.99853515625 ms f.
PushConsumer rocketmq-client-go-v2.0.0/api.go type PushConsumer interface { // Start the PullConsumer for consuming MessageQueue will be sync to broker before process exit Shutdown() error // Subscribe a topic for consuming greater that numbers, and the offset will auto forward. // It means that if you meeting messages consuming your message form one position, the method may help you. // if you want re-consuming from one time Seek(mq primitive.MessageQueue, offset int64) error // Pause consuming for specified MessageQueues
[CONSUMER] Consuming 1... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 2... [CONSUMER] Consuming 2... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 3... [CONSUMER] Consuming 3... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 4... [CONSUMER] Consuming 4... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 5... [CONSUMER] Consuming 5...
multiprocesses_coroutine() end_time = time.time() print(f"Time consuming factor * (end_time - start_time)}") OPTION[option] = 0 我的15款MacBook Pro跑出来的结果,办公室的网一般: Time consuming for option <COROUTINE> = 8.015891075134277 Time consuming for option <SINGLE_THREAD> = 35.00409913063049 Time consuming for option <MULTI_THREADS> = 10.310127973556519 Time consuming for option <MULTI_THREADS_COROUTINE > = 8.017142057418823 Time consuming for option <MULTI_PROCESSES> = 9.180757999420166 Time consuming
[CONSUMER] Consuming 1... [PRODUCER] Consumer return: 200 ok [PRODUCER] Producing 2... [CONSUMER] Consuming 2... [PRODUCER] Consumer return: 200 ok [PRODUCER] Producing 3... [CONSUMER] Consuming 3... [PRODUCER] Consumer return: 200 ok [PRODUCER] Producing 4... [CONSUMER] Consuming 4... [PRODUCER] Consumer return: 200 ok [PRODUCER] Producing 5... [CONSUMER] Consuming 5... [PRODUCER] Consumer return: 200 ok '''
PushConsumer rocketmq-client-go-v2.0.0/api.go type PushConsumer interface { // Start the PullConsumer for consuming MessageQueue will be sync to broker before process exit Shutdown() error // Subscribe a topic for consuming greater that numbers, and the offset will auto forward. // It means that if you meeting messages consuming your message form one position, the method may help you. // if you want re-consuming from one time Seek(mq primitive.MessageQueue, offset int64) error // Pause consuming for specified MessageQueues
("Finished time-consuming task."); // Wait for all of them to complete. Finished time-consuming task. 非阻塞:每个任务之间可以快速切换,不必等待其他任务完成才切换,这个例子表现在: 任务 0-9 以乱序方式 stop Finished time-consuming task. ", i); } 运行结果:同步阻塞 Finished time-consuming task. Task 0 sleeping for 100 ms. Task 0 stopping. ", i); } 运行结果:异步阻塞 Finished time-consuming task. Task 0 sleeping for 100 ms.
[CONSUMER] Consuming 1... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 2... [CONSUMER] Consuming 2... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 3... [CONSUMER] Consuming 3... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 4... [CONSUMER] Consuming 4... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 5... [CONSUMER] Consuming 5...
The panel module provides the ability to define menuOptions and components that can be used by the consuming application. components are React Components that can be displayed in the consuming application's "Panel menuOptions: [ { // A suggested icon // Available icons determined by consuming
[CONSUMER] Consuming 1...[PRODUCER] Consumer return: 200 OK[PRODUCER] Producing 2... [CONSUMER] Consuming 2...[PRODUCER] Consumer return: 200 OK[PRODUCER] Producing 3... [CONSUMER] Consuming 3...[PRODUCER] Consumer return: 200 OK[PRODUCER] Producing 4... [CONSUMER] Consuming 4...[PRODUCER] Consumer return: 200 OK[PRODUCER] Producing 5... [CONSUMER] Consuming 5...
return new Counter(1000); } }); f.run(); if (f.isDone()) { System.out.println("done.time-consuming System.currentTimeMillis() - start) + "ms"); f.get().get(); } 控制台: ================== done.time-consuming
[CONSUMER] Consuming 1... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 2... [CONSUMER] Consuming 2... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 3... [CONSUMER] Consuming 3... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 4... [CONSUMER] Consuming 4... [PRODUCER] Consumer return: 200 OK [PRODUCER] Producing 5... [CONSUMER] Consuming 5...
[consumer] consuming 1... [producer] consumer return: well received [producer] producing 2... [consumer] consuming 2... [producer] consumer return: well received [producer] producing 3... [consumer] consuming 3... [producer] consumer return: well received [producer] producing 4... [consumer] consuming 4... [producer] consumer return: well received [producer] producing 5... [consumer] consuming 5...
Ture) # 无应答是(Ture);有应答(False) print(' [*] Waiting for messages.To exit press CTRL+C') channel.start_consuming False) # 无应答是(Ture);有应答(False) print(' [*] Waiting for messages.To exit press CTRL+C') channel.start_consuming To exit press CTRL+C') channel.start_consuming() 4丶消息获取顺序 默认消息队列里的数据是按照顺序被消费者拿走,例如:消费者1 去队列中获取 奇数 序列的任务 To exit press CTRL+C') channel.start_consuming() 四,exchange 1、fanout模式 发布订阅 发布订阅和简单的消息队列区别在于,发布订阅会将消息发送给所有的订阅者 callback, queue=queue_name, no_ack=True) channel.start_consuming
ANXIETY', 'PEER_PRESSURE', 'CHRONIC DISEASE', 'FATIGUE ', 'ALLERGY ', 'WHEEZING', 'ALCOHOL CONSUMING 309 non-null int64 9 WHEEZING 309 non-null int64 10 ALCOHOL CONSUMING ANXIETY','PEER_PRESSURE', 'CHRONIC DISEASE','FATIGUE ','ALLERGY ','WHEEZING','ALCOHOL CONSUMING 309 non-null object 9 WHEEZING 309 non-null object 10 ALCOHOL CONSUMING _1ALCOHOL CONSUMING_2COUGHING_1COUGHING_2SHORTNESS OF BREATH_1SHORTNESS OF BREATH_2SWALLOWING DIFFICULTY
然后选择 Consuming Rest. 选择 Maven 作为构建方式, 同时选择 initial 和 complete 代码集. 还可以同时勾选最下面的打开项目首页的网页, 如下图所示: ? STS将在您的工作空间中创建两个新项目, 并同时导入 Consuming Rest 的代码 (包括 初始集和完整集), 打开一个STS内置的浏览器选项卡,如下图所示: ? 您已经安装了Spring Tool Suite,导入了“Consuming Rest入门项目”,并打开了一个浏览器选项卡来浏览它的说明。
然后选择Consuming Rest。选择Maven进行构建,以及初始和完整的代码集。 还可以选择打开网页,如下所示: STS 将在您的工作区中创建两个新项目,导入Consuming Rest代码库(包括初始和完整),并在 STS 中打开一个浏览器选项卡,如下所示: 从这里,您可以浏览指南并导航到代码文件 您已经设置了 Spring Tool Suite,导入了 Consuming Rest 入门指南,并打开了一个浏览器选项卡来浏览它。
To exit press CTRL+C') channel.start_consuming() 1. acknowledgment 消息不丢失 no-ack = False,如果生产者遇到情况(its To exit press CTRL+C') channel.start_consuming() 2. durable 消息不丢失 生产者消息持久化 import pika # ########## To exit press CTRL+C') channel.start_consuming() 3. To exit press CTRL+C') channel.start_consuming() 4. print(" [x] %r" % body) channel.basic_consume(callback,queue=queue_name,no_ack=True) channel.start_consuming
String VALUE = "redis-pass-value"; /** * 模拟耗时操作 3秒 */ public static final Long TIME_CONSUMING 从数据库获取 long start = System.currentTimeMillis(); TimeUnit.MILLISECONDS.sleep(TIME_CONSUMING value; } } } 很简单的一个get请求,先从缓存中获取数据,如果数据不存在,则从数据库获取,这里用 TimeUnit.MILLISECONDS.sleep(TIME_CONSUMING final Long NX_SLEEP_TIME = 50L; /** * 模拟耗时操作 3秒 */ public static final Long TIME_CONSUMING NX_KEY, NX_KEY)) { // 模拟耗时操作,从数据库获取 TimeUnit.MILLISECONDS.sleep(TIME_CONSUMING
String VALUE = "redis-pass-value"; /** * 模拟耗时操作 3秒 */ public static final Long TIME_CONSUMING 从数据库获取 long start = System.currentTimeMillis(); TimeUnit.MILLISECONDS.sleep(TIME_CONSUMING value; } } } 很简单的一个get请求,先从缓存中获取数据,如果数据不存在,则从数据库获取,这里用 TimeUnit.MILLISECONDS.sleep(TIME_CONSUMING final Long NX_SLEEP_TIME = 50L; /** * 模拟耗时操作 3秒 */ public static final Long TIME_CONSUMING NX_KEY, NX_KEY)) { // 模拟耗时操作,从数据库获取 TimeUnit.MILLISECONDS.sleep(TIME_CONSUMING