Go Concurrency Patterns: Timing out, moving on  GO并发模式: 超时, 继续前进

23 September 2010

Concurrent programming has its own idioms. A good example is timeouts. Although Go's channels do not support them directly, they are easy to implement. Say we want to receive from the channel ch, but want to wait at most one second for the value to arrive. We would start by creating a signalling channel and launching a goroutine that sleeps before sending on the channel:

timeout := make(chan bool, 1)
go func() {
time.Sleep(1 * time.Second)
timeout <- true
}()

We can then use a select statement to receive from either ch or timeout. If nothing arrives on ch after one second, the timeout case is selected and the attempt to read from ch is abandoned.

select {
case <-ch:
// a read from ch has occurred
case <-timeout:
// the read from ch has timed out
}

The timeout channel is buffered with space for 1 value, allowing the timeout goroutine to send to the channel and then exit. The goroutine doesn't know (or care) whether the value is received. This means the goroutine won't hang around forever if the ch receive happens before the timeout is reached. The timeout channel will eventually be deallocated by the garbage collector.

(In this example we used time.Sleep to demonstrate the mechanics of goroutines and channels. In real programs you should use ` time.After`, a function that returns a channel and sends on that channel after the specified duration.)

Let's look at another variation of this pattern. In this example we have a program that reads from multiple replicated databases simultaneously. The program needs only one of the answers, and it should accept the answer that arrives first.

The function Query takes a slice of database connections and a query string. It queries each of the databases in parallel and returns the first response it receives:

func Query(conns []Conn, query string) Result {
ch := make(chan Result)
for _, conn := range conns {
go func(c Conn) {
select {
case ch <- c.DoQuery(query):
default:
}
}(conn)
}
return <-ch
}

In this example, the closure does a non-blocking send, which it achieves by using the send operation in selectstatement with a default case. If the send cannot go through immediately the default case will be selected. Making the send non-blocking guarantees that none of the goroutines launched in the loop will hang around. However, if the result arrives before the main function has made it to the receive, the send could fail since no one is ready.

This problem is a textbook example of what is known as a race condition, but the fix is trivial. We just make sure to buffer the channel ch (by adding the buffer length as the second argument to make), guaranteeing that the first send has a place to put the value. This ensures the send will always succeed, and the first value to arrive will be retrieved regardless of the order of execution.

These two examples demonstrate the simplicity with which Go can express complex interactions between goroutines.

By Andrew Gerrand

Related articles

16 Go Concurrency Patterns: Timing out, moving on GO并发模式: 超时, 继续前进的更多相关文章

  1. Go Concurrency Patterns: Timing out, moving on

    https://blog.golang.org/go-concurrency-patterns-timing-out-and

  2. Go Concurrency Patterns: Pipelines and cancellation

    https://blog.golang.org/pipelines Go Concurrency Patterns: Pipelines and cancellation Sameer Ajmani1 ...

  3. Go Concurrency Patterns: Context At Google, we require that Go programmers pass a Context parameter as the first argument to every function on the call path between incoming and outgoing requests.

    小结: 1. Background is the root of any Context tree; it is never canceled: 2.     https://blog.golang. ...

  4. golang语言中的context详解,Go Concurrency Patterns: Context

    https://blog.golang.org/context Introduction In Go servers, each incoming request is handled in its ...

  5. Advanced Go Concurrency Patterns

    https://talks.golang.org/2013/advconc.slide#5 It's easy to go, but how to stop? Long-lived programs ...

  6. 设计模式教程(Design Patterns Tutorial)笔记之三 行为型模式(Behavioral Patterns)

    目录 · Strategy · When to use the Strategy Design Pattern? · Sample Code · Observer · When to use the  ...

  7. [Python设计模式] 第16章 上班,干活,下班,加班——状态模式

    github地址:https://github.com/cheesezh/python_design_patterns 题目 用代码模拟一天的工作状态,上午状态好,中午想睡觉,下午渐恢复,加班苦煎熬. ...

  8. 设计模式教程(Design Patterns Tutorial)笔记之一 创建型模式(Creational Patterns)

    目录 · 概述 · Factory · What is the Factory Design Pattern? · Sample Code · Abstract Factory · What is t ...

  9. Ubuntu 16.04/CentOS 6.9安装Apache压力(并发)测试工具ab

    说明: ab工具已经在Apache中包含,如果不想安装Apache,那么可以使用下面方法单独安装. 安装: Ubuntu: sudo apt-get install apache2-utils Cen ...

随机推荐

  1. Alpha 冲刺 —— 十分之六

    队名 火箭少男100 组长博客 林燊大哥 作业博客 Alpha 冲鸭鸭鸭鸭鸭鸭! 成员冲刺阶段情况 林燊(组长) 过去两天完成了哪些任务 协调各成员之间的工作 测试服务器并行能力 学习MSI.CUDA ...

  2. 【bzoj2438】 中山市选2011—杀人游戏

    http://www.lydsy.com/JudgeOnline/problem.php?id=2438 (题目链接) 题意 n个点的有向图,其中有一个是杀手,每个人成为杀手的概率相同.警察询问一个人 ...

  3. Android 5.0 Lollipop SDK下载地址(PASS)

    Android 5.0 ARM EABI v7a System Image https://dl-ssl.google.com/android/repository/sys-img/google_ap ...

  4. 解题:洛谷4721 [模板]分治FFT

    题面 这是CDQ入门题,不要被题目名骗了,这核心根本不在不在FFT上啊=.= 因为后面的项的计算依赖于前面的项,不能直接FFT.所以用CDQ的思想,算出前面然后考虑给后面的贡献 #include< ...

  5. 解题:JSOI 2016 最佳团体

    题面 0/1分数规划+树形背包检查 要求$\frac{\sum P_i}{\sum S_i}的最大值,$按照0/1分数规划的做法,二分一个mid之后把式子化成$\sum P_i=\sum S_i*mi ...

  6. 微信授权,openid 分享

    https://packagist.org/packages/fcode/wxshare

  7. linux 中 virtualenvwrapper的使用

    原文链接:http://www.jianshu.com/p/3abe52adfa2b Virtaulenvwrapper Virtaulenvwrapper是virtualenv的扩展包,用于更方便管 ...

  8. 关于构造IOCTL命令的学习心得

    在编写ioctl代码之前,需要选择对应不同命令的编号.为了防止对错误的设备使用正确的命令,命令号应该在系统范围内唯一,这种错误匹配并不是不会发生,程序可能发现自己正在试图对FIFO和audio等这类非 ...

  9. Ubuntu硬盘空间不足时,添加硬盘的方法

    Ubuntu下重新挂载一个硬盘:方法如下: 1 .在Vmware中关闭Ubuntu虚拟机,在设置中,添加新的硬件设备,选择Hard Disk.(这里如果不关闭Ubuntu系统就不能增加新的硬件设备) ...

  10. 大量DOM操作的解决方案

    案例:如何在页面元素ul中一次性插入30000个li标签,保证页面体验流畅呢? 解决方案:可以从减少 DOM 操作次数.缩短循环时间两个方面减少主线程阻塞的时间 减少 DOM 操作次数的良方是 Doc ...