一、字符串和整型怎么相互转换
1、使用 strconv 包中的函数 FormatInt 、ParseInt 等进行转换
2、转换10进制的整形时,可以使用 strconv.Atoi、strconv.Itoa:
Atoi是ParseInt(s, 10, 0) 的简写
Itoa是FormatInt(i, 10) 的简写
3、整形转为字符型时,可以使用 fmt.Sprintf 函数
4、注意:字符串和整形相互转换时,GO不支持强制类型转换,如string(10)、int("10")
Go
package main
import (
"fmt"
"strconv"
)
func main() {
// FormatInt 返回100的10进制的字符串表示
fmt.Println(strconv.FormatInt(100, 10)) // 输出:100
// FormatInt 返回100的2进制的字符串表示
fmt.Println(strconv.FormatInt(100, 2)) // 输出:1100100
// ParseInt 将字符串转换为int64
num, _ := strconv.ParseInt("100", 10, 64)
fmt.Printf("ParseInt 转为的10进制int64: %d \n", num) // ParseInt 转为的10进制int64: 100
// Itoa 将int以10进制方式转换为字符串,相当于 FormatInt(i, 10)
fmt.Println(strconv.Itoa(20)) // 输出:20
// Itoa 将字符串以10进制方式转换整型,相当于 ParseInt(s, 10, 0)
num2, _ := strconv.Atoi("20")
fmt.Println("Atoi 将字符串转为10进制整型:", num2) // 输出:Atoi 将字符串转为10进制整型: 20
// 使用 fmt.Sprintf 将整形格式化为字符串
str := fmt.Sprintf("%d", 200)
fmt.Println(str) // 输出: 200
}
二、GO如何获取当前时间并格式化
使用 time 包中的函数:
time.Now().Format("2006-01-02 15:04:05")
三、怎么删除切片中的一个元素
1、使用 append() 函数进行追加
append(s[:index], s[index+1:]...) // index 为需要删除的元素的索引
2、使用 copy() 函数复制元素
// 切片长度减一
slice = slice[:len(slice)-1]
// 使用copy函数将index之后的元素向前移动一位
copy(slice[index:], slice[index+1:])
注意:切片本身没有delete方法
Go
package main
import (
"fmt"
)
func main() {
// 删除切片中的元素的两种方法
// 方式一:使用 append 函数
// 原始切片
s1 := []int{2, 3, 5, 7, 11, 13}
fmt.Printf("原始切片长度: %d 容量:%d\n", len(s1), cap(s1)) // 输出:原始切片长度: 6 容量:6
fmt.Println("原始切片内容:", s1) // 输出:原始切片内容: [2 3 5 7 11 13]
// 删除切片中的第2个元素,即数字 3
s1 = append(s1[:1], s1[2:]...) // 注意:s1[2:]...表示切片中的第3个元素到最后一个元素
fmt.Printf("删除后的切片长度: %d 容量:%d\n", len(s1), cap(s1)) // 输出:删除后的切片长度: 5 容量:6
//s1 = s1[:cap(s1)] // 将新切片的长度设为原始容量,则会输出 [2 5 7 11 13]
fmt.Println("删除后的切片内容:", s1) // 输出:删除后的切片内容: [2 5 7 11 13]
//注意:append 函数会返回一个新生产的切片,新切片中的长度会发生改变,容量、指向底层数组的指针也可能会变
// 方式二:使用copy函数
s := []int{2, 3, 5, 7, 11, 13}
copy(s[1:], s[2:]) // 第2个元素之后的元素复制到第1个元素
fmt.Println("使用copy函数后切片的内容:", s) // 输出:使用copy函数后切片的内容: [2 5 7 11 13 13]
// 注意:如果不将切片的长度减1,则出现上面的结果( [2 5 7 11 13 13]),
// 因为copy函数只是复制元素(复制元素的个数取决于源切片和目标切片中最小的个数),并不改变切片的长度、容量等,
// 切片底层的数组的个数还是 6,最后一个的值还是13
// 所以需要将原切片 s 的长度减1
s = s[:len(s)-1]
fmt.Println("长度减1后切片的内容:", s) // 输出:使用copy函数后切片的内容: [2 5 7 11 13]
}
四、map的key可以是哪些类型
key 的数据类型必须为可比较的类型,slice、map、func不可比较
五、如果只对map读取,需要加锁吗
map 在并发情况下,只读是线程安全的,不需要加锁,同时读写是线程不安全的。
如果想实现并发线程安全有两种方法:
- map加互斥锁或读写锁
- 标准库sync.map
sync.Map 使用方法:
Go
package main
import (
"fmt"
"sync"
)
func main() {
var m map[string]int
// 报错:assignment to entry in nil map
// 原因:未对 map 进行初始化
//m["test"] = 5
fmt.Println(m["name"]) // 输出:0
// 对 map 进行初始化
clients := make(map[string]string, 0)
clients["John"] = "Doe"
fmt.Println(clients) // 输出:map[John:Doe]
var sm sync.Map
// 写入 sync.Map sync.Map 写入前不需要进行初始化
sm.Store("name", "John") // 不支持以下赋值方式: sm["yy"] = "66"
sm.Store("surname", "Doe")
sm.Store("nickname", "li")
// 读取 sync.Map
fmt.Println(sm.Load("name")) // 输出:John true
// 删除 sync.Map
sm.Delete("name")
// 读取 sync.Map
fmt.Println(sm.Load("name")) // 输出:<nil> false
// 循环 sync.Map
sm.Range(func(key any, value any) bool {
fmt.Printf("Key=%s value=%s \n", key, value)
return true
}) // 输出:Key=nickname value=li
// Key=surname value=Doe
}
六、go协程中使用go协程,内层go协程panic后,会影响外层go协程吗
会影响,而且外层go协程中的recover对内层的panic不起作用
七、如果有多个协程,怎么判断多个协程都执行完毕
1、使用 sync.WaitGroup
2、使用 channel 同步
3、使用 context 和 sync.WaitGroup, 处理超时或取消操作
- 使用 sync.WaitGroup
Go
package main
import (
"fmt"
"sync"
"time"
)
func worker(id int, wg *sync.WaitGroup) {
defer wg.Done()
fmt.Printf("Worker %d starting \n", id)
time.Sleep(2 * time.Second)
fmt.Printf("Worker %d done \n", id)
}
// 如何判断多个go协程都执行完成
func main() {
var wg sync.WaitGroup
// 启动 5 个协程
for i := 1; i <= 5; i++ {
wg.Add(1)
go worker(i, &wg)
}
// 等待所有的 worker 完成
wg.Wait()
time.Sleep(time.Second)
fmt.Println("All workers done")
// 最终输出:
// Worker 1 starting
// Worker 5 starting
// Worker 2 starting
// Worker 3 starting
// Worker 4 starting
// Worker 2 done
// Worker 4 done
// Worker 5 done
// Worker 3 done
// Worker 1 done
// All workers done
}
- 使用 channel 同步
Go
package main
import (
"fmt"
"time"
)
// 定义一个计数器管道
var channelDone = make(chan bool)
func woker(id int) {
fmt.Printf("worker %d starting \n", id)
time.Sleep(time.Second)
fmt.Printf("worker %d done \n", id)
channelDone <- true // 当任务执行完成时,将 true 写入到管道
}
func main() {
// 启动 3 个 go 协程
go woker(1)
go woker(2)
go woker(3)
// 循环从计数器管道中读取完成标识
for i := 0; i < 3; i++ {
<-channelDone
}
fmt.Println("All workers done")
// 输出:
// worker 2 starting
// worker 1 starting
// worker 3 starting
// worker 3 done
// worker 2 done
// All workers done
}
- 使用 context 和 sync.WaitGroup
Go
package main
import (
"context"
"fmt"
"sync"
"time"
)
func worker(id int, wg *sync.WaitGroup, ctx context.Context) {
defer wg.Done()
fmt.Printf("Worker %d starting \n", id)
time.Sleep(2 * time.Second)
select {
case <-ctx.Done():
fmt.Printf("worker %d cancelled \n", id)
default:
fmt.Printf("Worker %d done \n", id)
}
}
// 如何判断多个go协程都执行完成
func main() {
var wg sync.WaitGroup
// 创建一个带有2秒超时的上下文
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
// 确保在函数返回时释放资源
defer cancel()
// 启动 5 个协程
for i := 1; i <= 5; i++ {
wg.Add(1)
go worker(i, &wg, ctx)
}
// 等待所有的 worker 完成
wg.Wait()
time.Sleep(time.Second)
fmt.Println("All workers done")
// 最终输出:
// Worker 5 starting
// Worker 2 starting
// Worker 1 starting
// Worker 3 starting
// Worker 4 starting
// Worker 4 done
// Worker 1 done
// worker 5 cancelled
// worker 3 cancelled
// Worker 2 done
// All workers done
}
八、一个协程每隔1秒执行一次任务,如何实现
1、使用 time.Timer 实现单一定时器
2、使用 time.Ticker 实现周期性定时器
Go
package main
import (
"fmt"
"time"
)
func main() {
// 1、用 time.Timer 实现单一的定时器,用它来在一段时间后执行一个任务
// 创建一个定时器,设置 1 秒后触发
timer := time.NewTimer(1 * time.Second)
// 阻塞等待定时器触发
<-timer.C
fmt.Println("定时任务被执行")
// 停止定时器
timer.Stop()
// 2、time.Ticker 类型表示一个周期性的定时器,它会按照指定的间隔不断触发
ticker := time.NewTicker(1 * time.Second)
defer ticker.Stop() // 确保在不需要时,停止 ticker
// 用管道控制 ticker 结束,简单运行 5 次后结束
done := make(chan bool)
go func() {
for i := 0; i < 5; i++ {
select {
case <-done:
return
case t := <-ticker.C:
fmt.Println("定时任务执行,当前时间:", t)
}
}
done <- true
}()
// 主线程等待一段时间
time.Sleep(7 * time.Second)
}
九、分库分表
- 分表:
原因:数据库面临性能瓶颈或数据量很大,通过优化索引也无法解决
解决方法:将数据分散到多个表,通常采用横向拆分,具体策略:
①通过id取余将数据分散到多个表里;
②哈希分表策略,根据表的某个属性值获取哈希值进行分表;
③通过时间分表方式,按月或年将数据拆分到不同的表
注意:垂直拆分,比如将用户表拆分为主副表,最好在设计初期做,不然拆分代价大
- 分库:
原因:单库的访问量过高
解决方法:搭配微服务框架,按驱动领域设计(DDD)将业务表归属到不同的数据库,专库专用,提供系统稳定性,降低耦合度
十、channel 在什么情况下会出现死锁
1、对于无缓存双向管道,只向管道中写数据,不从管道中读数据;或只读不写
2、对于有缓存管道,向管道中添加数据超过缓存
3、select的所有case分支都不能执行,且没有default分支
4、对没有初始化的channel写数据
Go
package main
import (
"fmt"
"time"
)
func main() {
// 创建缓存为2的的channel
ch := make(chan int, 2)
// 向管道中添加3个数据,超过缓存数 2,出现死锁
ch <- 3
ch <- 4
ch <- 5
time.Sleep(time.Second * 1)
fmt.Println("main end")
// 输出:
// fatal error: all goroutines are asleep - deadlock!
// goroutine 1 [chan send]:
// main.main()
// E:/GoProject/src/mianshi/channel/main.go:22 +0x58
// exit status 2
}
十一、在什么情况下关闭channel会panic
1、当channel为nil时
2、当channel已经关闭时
十二、channel的底层实现原理(数据结构)
Go
type hchan struct {
qcount uint // total data in the queue
dataqsiz uint // size of the circular queue
buf unsafe.Pointer // points to an array of dataqsiz elements
elemsize uint16
closed uint32
elemtype *_type // element type
sendx uint // send index
recvx uint // receive index
recvq waitq // list of recv waiters
sendq waitq // list of send waiters
// lock protects all fields in hchan, as well as several
// fields in sudogs blocked on this channel.
//
// Do not change another G's status while holding this lock
// (in particular, do not ready a G), as this can deadlock
// with stack shrinking.
lock mutex
}
type waitq struct {
first *sudog
last *sudog
}
向channel写数据(流程图来自go进阶(2) -深入理解Channel实现原理-CSDN博客):
1、锁定整个通道结构。
2、确定写入:如果recvq队列不为空,说明缓冲区没有数据或者没有缓冲区,此时直接从recvq等待队列中取出一个G(goroutine),并把数据写入,最后把该G唤醒,结束发送过程;
3、如果recvq为Empty,则确定缓冲区是否可用。如果可用,从当前goroutine复制数据写入缓冲区,结束发送过程。
4、如果缓冲区已满,则要写入的元素将保存在当前正在执行的goroutine的结构中,并且当前goroutine将在sendq中排队并从运行时挂起(进入休眠,等待被读goroutine唤醒)。
5、写入完成释放锁。
从channel读数据:
1、先获取channel全局锁
2、如果等待发送队列sendq不为空(有等待的goroutine):
1)若没有缓冲区,直接从sendq队列中取出G(goroutine),直接取出goroutine并读取数据,然后唤醒这个goroutine,结束读取释放锁,结束读取过程;
2)若有缓冲区(说明此时缓冲区已满),从缓冲队列中首部读取数据,再从sendq等待发送队列中取出G,把G中的数据写入缓冲区buf队尾,结束读取释放锁;
3、如果等待发送队列sendq为空(没有等待的goroutine):
1)若缓冲区有数据,直接读取缓冲区数据,结束读取释放锁。
2)没有缓冲区或缓冲区为空,将当前的goroutine加入recvq排队,进入睡眠,等待被写goroutine唤醒。结束读取释放锁。
十三、go中的锁机制
锁机制是并发编程中用于确保数据一致性和防止竞争条件(race conditions)的重要工具。Go 提供了几种不同的锁机制,包括互斥锁(Mutex)、读写锁(RWMutex)和通道(Channels)。
1、互斥锁(sync.Mutex)
确保同一时间只有一个 goroutine 可以访问某个资源
2、读写锁(sync.RWMutex)
读写锁允许多个 goroutine 同时读取资源,但在写入资源时会独占访问权。这提高了读操作的并发性能。
3、通道
通道不是传统意义上的锁,但它们提供了一种更 Go 风格的并发控制机制,用于在 goroutine 之间传递数据。通道可以用于实现同步和互斥,避免使用显式的锁。
Go
package main
import (
"fmt"
"sync"
)
var (
counter int
mu sync.Mutex
)
func increment(wg *sync.WaitGroup) {
defer wg.Done()
mu.Lock()
counter++
mu.Unlock()
}
func main() {
var wg sync.WaitGroup
for i := 0; i < 1000; i++ {
wg.Add(1)
go increment(&wg)
}
wg.Wait()
fmt.Println("Final Counter:", counter)
}
Go
package main
import (
"fmt"
"sync"
)
var (
data int
rwMu sync.RWMutex
)
func readData(wg *sync.WaitGroup) {
defer wg.Done()
rwMu.RLock()
fmt.Println("Read:", data)
rwMu.RUnlock()
}
func writeData(wg *sync.WaitGroup, value int) {
defer wg.Done()
rwMu.Lock()
data = value
rwMu.Unlock()
}
func main() {
var wg sync.WaitGroup
// 启动多个读 goroutine
for i := 0; i < 10; i++ {
wg.Add(1)
go readData(&wg)
}
// 启动一个写 goroutine
wg.Add(1)
go writeData(&wg, 42)
wg.Wait()
}
Go
package main
import (
"fmt"
"sync"
)
func worker(id int, jobs <-chan int, results chan<- int, wg *sync.WaitGroup) {
defer wg.Done()
for j := range jobs {
fmt.Printf("Worker %d started job %d\n", id, j)
results <- j * 2
}
}
func main() {
const numJobs = 5
jobs := make(chan int, numJobs)
results := make(chan int, numJobs)
var wg sync.WaitGroup
// 启动 3 个 worker goroutine
for w := 1; w <= 3; w++ {
wg.Add(1)
go worker(w, jobs, results, &wg)
}
// 发送 5 个 job 到 jobs 通道
for j := 1; j <= numJobs; j++ {
jobs <- j
}
close(jobs)
// 等待所有 worker 完成
go func() {
wg.Wait()
close(results)
}()
// 打印所有结果
for result := range results {
fmt.Println("Result:", result)
}
// 打印结果:
// Worker 1 started job 1
// Worker 1 started job 4
// Worker 1 started job 5
// Worker 2 started job 2
// Result: 2
// Result: 8
// Worker 3 started job 3
// Result: 10
// Result: 4
// Result: 6
}
十四、互斥锁的底层实现原理
互斥锁(sync.Mutex)是一种用于同步并发访问共享资源的机制,它确保在同一时刻只有一个goroutine可以访问被保护的数据。
Go
// 位于 src/sync/mutex.go
type Mutex struct {
state int32 // 锁状态和一些标志位
sema uint32 // 信号量,用于阻塞和唤醒等待的 goroutine
}
const (
mutexLocked = 1 << iota // 是否被锁定
mutexWoken // 是否有协程被唤醒
mutexStarving // 是否处于饥饿模式
mutexWaiterShift = iota // 表示等待锁的阻塞协程个数
starvationThresholdNs = 1e6
)
十五、go内存逃逸现象
1、什么是内存逃逸
当一个函数内部定义的变量在函数执行完后仍然被其他部分引用时,这个变量就会逃逸到堆上分配内存,而不是在栈上分配,这种现象叫做内存逃逸。
对内存管理的理解:
栈上的内存分配和释放由编译器自动管理,速度快但空间有限;
堆上的内存分配和释放需要运行时系统的参与,相对较慢但空间大,由GC回收
2、内存逃逸的原因
- 变量的生命周期超出作用域:
在函数内部声明的变量,如果在函数返回后仍然被引用,就会导致内存逃逸。这些变量将被分配到堆上,以确保它们在函数返回后仍然可用。
- 引用外部变量:
如果函数内部引用了外部作用域的变量,这也可能导致内存逃逸。编译器无法确定这些外部变量的生命周期,因此它们可能会被分配到堆上。
- 使用闭包:
在Go中,闭包(函数值)可以捕获外部变量,这些变量的生命周期可能超出了闭包本身的生命周期。这导致了内存逃逸。
- 返回局部变量地址:
当一个函数返回一个局部变量的指针或引用时,这个变量就会逃逸到函数外部。
- 大对象分配:
由于栈上的空间有限,大对象无法在栈上得到足够的空间,因此可能导致逃逸到堆上
3、如何检测及避免内存逃逸
- 使用逃逸分析工具:
Go编译器内置了逃逸分析功能,可以帮助开发者检测内存逃逸。可以使用go build命令的-gcflags标志来启用逃逸分析并输出逃逸分析的结果。这会在编译时打印出逃逸分析的详细信息,包括哪些变量逃逸到堆上以及原因。
- 减小变量作用域:
将变量的作用域限制在最小的范围内,确保变量在不再需要时尽早被销毁。这有助于减少内存逃逸的可能性。
- 避免使用全局变量:
全局变量的生命周期持续到程序结束,通常会导致内存逃逸。因此,应尽量避免过多使用全局变量。
- 优化闭包使用:
如果不必要,避免使用闭包来捕获外部变量。如果必须使用闭包,可以考虑将需要的变量作为参数传递,而不是捕获外部变量。
- 使用值类型:
在某些情况下,将数据保存为值类型而不是引用类型(指针或接口)可以减少内存逃逸。值类型通常在栈上分配,生命周期受限于作用域。
- 避免在循环中创建对象:
在循环中创建对象可能导致大量内存分配和逃逸。可以在循环外部预分配好对象,循环内部重复使用。
Go
// 1、函数内部定义的局部变量逃逸,比如返回参数是指针、切片、map
func createSlice() []int {
var data []int
for i := 0; i < 1000; i++ {
data = append(data, i)
}
return data // data逃逸到堆上分配内存
}
// 2、闭包捕获外部变量
func counter() func() int {
count := 0
return func() int {
count++
return count
} // count逃逸到堆上
}
// 3、返回局部变量地址
func escape() *int {
x := 10
return &x // x逃逸到堆上
}
// 4、使用go关键字启动协程
func main() {
data := make([]int, 1000)
go func() {
fmt.Println(data[0]) // data逃逸到堆上
}()
}
// 5、向channel中发送指针或包含指针的值
func f1() {
i :=2
ch = make(chan *int, 2)
ch <- &i
<-ch
}
// 6、函数内的变量定义为interface
// 编译器不确定 interface 的大小,所以将变量分配在堆上
type animal interface {
run()
}
func f2() {
var a animal
}
十六、高并发情况下如何保证数据库主键唯一性
数据库层面:
主键唯一约束、数据库事务和锁
应用程序层面:
UUID、雪花算法
十七、GMP调度模型的原理
Go语言的调度模型被称为GMP模型,用于在可用的物理线程上调度goroutines(Go的轻量级线程)。
GMP模型组成:
GMP模型由三个主要组件构成:Goroutine、M(机器)和P(处理器)。
- Goroutine(G)
- Goroutine 是Go语言中的一个基本概念,类似于线程,但比线程更轻量。Goroutines在Go的运行时环境中被调度和管理,而非操作系统。
- Goroutines非常轻量,启动快,且切换开销小。这是因为它们有自己的栈,这个栈可以根据需要动态增长和缩减。
- Machine(M)
- M 代表了真正的操作系统线程。每个M都由操作系统调度,并且拥有一个固定大小的内存栈用于执行C代码。
- M负责执行Goroutines的代码。Go的运行时会尽量复用M,以减少线程的创建和销毁带来的开销。
- Processor(P)
- P 是Go运行时的一个资源,可以看作是执行Goroutines所需的上下文环境。P的数量决定了系统同时运行Goroutines的最大数量。
- 每个P都有一个本地的运行队列,用于存放待运行的Goroutines。
- P的数量一般设置为等于机器的逻辑处理器数量,以充分利用多核的优势。
调度过程:
- 当一个goroutine被创建时,它会被放入某个P的本地队列中等待执行。
- 当一个M执行完当前绑定的P中的goroutine后,它会从该P的本地队列中获取下一个待执行的goroutine。
- 如果P的本地队列为空,M会尝试从全局队列或其他P的队列中"偷取"goroutine来执行,以实现工作负载的均衡,提高线程利用率。
- 如果当前没有足够活跃的M来处理所有的P,调度器会创建新的M与P绑定,以充分利用多核资源。
调度的机制用一句话描述就是:runtime准备好G,M,P,然后M绑定P,M从本地或者是全局队列中获取G,然后切换到G的执行栈上执行G上的任务函数,调用goexit做清理工作并回到M,如此反复。
work stealing机制:
Hand off 机制:
也称为P分离机制,当本线程M因为G进行的系统调用阻塞时,线程释放绑定的P,把P转移给其他空闲的M执行,也提高了线程利用率(避免站着茅坑不拉shi)。
抢占式调度:
十八、go常用的并发模型有哪些
并发模型是指系统中的线程如何协作完成并发任务,包含两种并发模型:共享内存并发模型、CSP并发模型。
线程间的通讯方式有两种:共享内存、消息传递
十九、go Cond实现原理
Cond 是一种用于线程间同步的机制,可以让gorutine在满足特定条件时被阻塞或唤醒。
数据结构:
Gotype Cond struct { noCopy noCopy L Locker notify notifyList checker copyChecker } type notifyList struct { wait uint32 notify uint32 lock uintptr // key field of the mutex head unsafe.Pointer tail unsafe.Pointer }
Gopackage main import ( "fmt" "sync" "time" ) func main() { // 定义一个互斥锁 var mu sync.Mutex // 创建cond,用于gorutine在满足特定条件时被阻塞或唤醒 c := sync.NewCond(&mu) go func() { // 调用 wait() 方法前需要加锁,因为 wait() 方法内部首先会解锁,不在外层加锁,会报错 c.L.Lock() defer c.L.Unlock() c.Wait() // 阻塞等待被唤醒 fmt.Println("Goroutine 1: 条件满足,继续执行") }() // Goroutine 2: 等待条件变量 go func() { c.L.Lock() defer c.L.Unlock() c.Wait() fmt.Println("Goroutine 2: 条件满足,继续执行") }() time.Sleep(time.Second * 2) // 唤醒一个gorutine, 可以不用加锁 //c.Signal() // 唤醒等待的所有 gorutine, 可以不用加锁 c.Broadcast() time.Sleep(time.Second * 2) }
二十、map的使用及底层原理
1、map的初始化
①make函数分配内存
Goclients := make(map[string]string) // 默认容量为0 clients := make(map[string]string, 10) // 指定初始容量为10 // 注意:如果直接使用new,还得再使用make,因为make会初始化内部的哈希表结构
②直接定义map并赋值
Goclients := map[string]string{ "test": "test", "yy": "yy", }
2、读map
Go// 方式1 name := clients["name"] // 方式2 name, ok := clients["name"] if ok { fmt.Println(name) // 输出: } else { fmt.Println("Key not found") }
3、写map
Go// 如果map未初始化,直接写,会报错:panic: assignment to entry in nil map clients["name"] = "test"
4、删map
Go// 如果map未初始化或key不存在,则删除方法直接结束,不会报错 delete(clients, "name")
5、遍历map
Go// 前后两次遍历,key值顺序可能不一样 for k, v := range clients { fmt.Printf("Key=%s value=%s \n", k, v) }
6、map底层数据结构
Go//src/runtime/map.go // A header for a Go map. type hmap struct { // Note: the format of the hmap is also encoded in cmd/compile/internal/reflectdata/reflect.go. // Make sure this stays in sync with the compiler's definition. count int // # live cells == size of map. Must be first (used by len() builtin) flags uint8 B uint8 // log_2 of # of buckets (can hold up to loadFactor * 2^B items) noverflow uint16 // approximate number of overflow buckets; see incrnoverflow for details hash0 uint32 // hash seed buckets unsafe.Pointer // array of 2^B Buckets. may be nil if count==0. oldbuckets unsafe.Pointer // previous bucket array of half the size, non-nil only when growing nevacuate uintptr // progress counter for evacuation (buckets less than this have been evacuated) extra *mapextra // optional fields } // mapextra holds fields that are not present on all maps. type mapextra struct { // If both key and elem do not contain pointers and are inline, then we mark bucket // type as containing no pointers. This avoids scanning such maps. // However, bmap.overflow is a pointer. In order to keep overflow buckets // alive, we store pointers to all overflow buckets in hmap.extra.overflow and hmap.extra.oldoverflow. // overflow and oldoverflow are only used if key and elem do not contain pointers. // overflow contains overflow buckets for hmap.buckets. // oldoverflow contains overflow buckets for hmap.oldbuckets. // The indirection allows to store a pointer to the slice in hiter. overflow *[]*bmap oldoverflow *[]*bmap // nextOverflow holds a pointer to a free overflow bucket. nextOverflow *bmap } // A bucket for a Go map. type bmap struct { // tophash generally contains the top byte of the hash value // for each key in this bucket. If tophash[0] < minTopHash, // tophash[0] is a bucket evacuation state instead. tophash [bucketCnt]uint8 // Followed by bucketCnt keys and then bucketCnt elems. // NOTE: packing all the keys together and then all the elems together makes the // code a bit more complicated than alternating key/elem/key/elem/... but it allows // us to eliminate padding which would be needed for, e.g., map[int64]int8. // Followed by an overflow pointer. }
7、map解决哈希冲突的方式
- 拉链法:当哈希值相同时,桶中的元素通过链表的形式链接。方便简单,无需预选分配内存
- 开放寻址法:当哈希值对应的桶中存满数据时,会通过一定的探测策略继续寻找下一个桶来存放数据。无需额外的指针用于链接元素,内存地址完全连续,充分利用CPU高速缓存
8、map读流程
Gofunc mapaccess1(t *maptype, h *hmap, key unsafe.Pointer) unsafe.Pointer { if raceenabled && h != nil { callerpc := getcallerpc() pc := abi.FuncPCABIInternal(mapaccess1) racereadpc(unsafe.Pointer(h), callerpc, pc) raceReadObjectPC(t.Key, key, callerpc, pc) } if msanenabled && h != nil { msanread(key, t.Key.Size_) } if asanenabled && h != nil { asanread(key, t.Key.Size_) } // map 未初始化或键值对为0,则直接返回 0 值 if h == nil || h.count == 0 { if err := mapKeyError(t, key); err != nil { panic(err) // see issue 23734 } return unsafe.Pointer(&zeroVal[0]) } // 有协程在写map,则抛出异常 if h.flags&hashWriting != 0 { fatal("concurrent map read and map write") } hash := t.Hasher(key, uintptr(h.hash0)) // 桶长度的指数左移一位再减1 hash % 2^B 等价于 hash & (2^B - 1) m := bucketMask(h.B) // 根据key的哈希值找到对应桶数组的位置 (hash&m)*uintptr(t.BucketSize)) 表示桶数组索引*单个桶的大小,获得对应桶的地址偏移量 b := (*bmap)(add(h.buckets, (hash&m)*uintptr(t.BucketSize))) // 判断是否处于扩容阶段(oldbuckets不为空,则表示正处于扩容阶段) if c := h.oldbuckets; c != nil { // 如果不是等量扩容,则获取老的桶数组长度减1(m值右移1位) if !h.sameSizeGrow() { // There used to be half as many buckets; mask down one more power of two. m >>= 1 } oldb := (*bmap)(add(c, (hash&m)*uintptr(t.BucketSize))) // 判断老桶中的数据是否完成迁移,如果没有完成迁移,则从老桶中取数据 if !evacuated(oldb) { b = oldb } } top := tophash(hash) bucketloop: // 外层循环桶及桶链表,内层循环每个桶的8(bucketCnt)个键值对 for ; b != nil; b = b.overflow(t) { for i := uintptr(0); i < bucketCnt; i++ { if b.tophash[i] != top { if b.tophash[i] == emptyRest { break bucketloop } continue } k := add(unsafe.Pointer(b), dataOffset+i*uintptr(t.KeySize)) if t.IndirectKey() { k = *((*unsafe.Pointer)(k)) } if t.Key.Equal(key, k) { e := add(unsafe.Pointer(b), dataOffset+bucketCnt*uintptr(t.KeySize)+i*uintptr(t.ValueSize)) if t.IndirectElem() { e = *((*unsafe.Pointer)(e)) } return e } } } return unsafe.Pointer(&zeroVal[0]) }
9、map写流程
Go// src/runtime/map.go func mapassign(t *maptype, h *hmap, key unsafe.Pointer) unsafe.Pointer { if h == nil { panic(plainError("assignment to entry in nil map")) } if raceenabled { callerpc := getcallerpc() pc := abi.FuncPCABIInternal(mapassign) racewritepc(unsafe.Pointer(h), callerpc, pc) raceReadObjectPC(t.Key, key, callerpc, pc) } if msanenabled { msanread(key, t.Key.Size_) } if asanenabled { asanread(key, t.Key.Size_) } if h.flags&hashWriting != 0 { fatal("concurrent map writes") } hash := t.Hasher(key, uintptr(h.hash0)) // Set hashWriting after calling t.hasher, since t.hasher may panic, // in which case we have not actually done a write. h.flags ^= hashWriting if h.buckets == nil { h.buckets = newobject(t.Bucket) // newarray(t.Bucket, 1) } again: bucket := hash & bucketMask(h.B) if h.growing() { growWork(t, h, bucket) } b := (*bmap)(add(h.buckets, bucket*uintptr(t.BucketSize))) top := tophash(hash) var inserti *uint8 var insertk unsafe.Pointer var elem unsafe.Pointer bucketloop: for { for i := uintptr(0); i < bucketCnt; i++ { if b.tophash[i] != top { if isEmpty(b.tophash[i]) && inserti == nil { inserti = &b.tophash[i] insertk = add(unsafe.Pointer(b), dataOffset+i*uintptr(t.KeySize)) elem = add(unsafe.Pointer(b), dataOffset+bucketCnt*uintptr(t.KeySize)+i*uintptr(t.ValueSize)) } if b.tophash[i] == emptyRest { break bucketloop } continue } k := add(unsafe.Pointer(b), dataOffset+i*uintptr(t.KeySize)) if t.IndirectKey() { k = *((*unsafe.Pointer)(k)) } if !t.Key.Equal(key, k) { continue } // already have a mapping for key. Update it. if t.NeedKeyUpdate() { typedmemmove(t.Key, k, key) } elem = add(unsafe.Pointer(b), dataOffset+bucketCnt*uintptr(t.KeySize)+i*uintptr(t.ValueSize)) goto done } ovf := b.overflow(t) if ovf == nil { break } b = ovf } // Did not find mapping for key. Allocate new cell & add entry. // If we hit the max load factor or we have too many overflow buckets, // and we're not already in the middle of growing, start growing. if !h.growing() && (overLoadFactor(h.count+1, h.B) || tooManyOverflowBuckets(h.noverflow, h.B)) { hashGrow(t, h) goto again // Growing the table invalidates everything, so try again } if inserti == nil { // The current bucket and all the overflow buckets connected to it are full, allocate a new one. newb := h.newoverflow(t, b) inserti = &newb.tophash[0] insertk = add(unsafe.Pointer(newb), dataOffset) elem = add(insertk, bucketCnt*uintptr(t.KeySize)) } // store new key/elem at insert position if t.IndirectKey() { kmem := newobject(t.Key) *(*unsafe.Pointer)(insertk) = kmem insertk = kmem } if t.IndirectElem() { vmem := newobject(t.Elem) *(*unsafe.Pointer)(elem) = vmem } typedmemmove(t.Key, insertk, key) *inserti = top h.count++ done: if h.flags&hashWriting == 0 { fatal("concurrent map writes") } h.flags &^= hashWriting if t.IndirectElem() { elem = *((*unsafe.Pointer)(elem)) } return elem }
注意:扩容包括增量扩容(k-v对数量/桶数量>6.5)和等量扩容(溢出桶数量=桶数量)
map采用渐进式扩容,每次写操作迁移一部分老数据到新桶中
10、删除map
Go// src/runtime/map.go func mapdelete(t *maptype, h *hmap, key unsafe.Pointer) { if raceenabled && h != nil { callerpc := getcallerpc() pc := abi.FuncPCABIInternal(mapdelete) racewritepc(unsafe.Pointer(h), callerpc, pc) raceReadObjectPC(t.Key, key, callerpc, pc) } if msanenabled && h != nil { msanread(key, t.Key.Size_) } if asanenabled && h != nil { asanread(key, t.Key.Size_) } if h == nil || h.count == 0 { if err := mapKeyError(t, key); err != nil { panic(err) // see issue 23734 } return } if h.flags&hashWriting != 0 { fatal("concurrent map writes") } hash := t.Hasher(key, uintptr(h.hash0)) // Set hashWriting after calling t.hasher, since t.hasher may panic, // in which case we have not actually done a write (delete). h.flags ^= hashWriting bucket := hash & bucketMask(h.B) if h.growing() { growWork(t, h, bucket) } b := (*bmap)(add(h.buckets, bucket*uintptr(t.BucketSize))) bOrig := b top := tophash(hash) search: for ; b != nil; b = b.overflow(t) { for i := uintptr(0); i < bucketCnt; i++ { if b.tophash[i] != top { if b.tophash[i] == emptyRest { break search } continue } k := add(unsafe.Pointer(b), dataOffset+i*uintptr(t.KeySize)) k2 := k if t.IndirectKey() { k2 = *((*unsafe.Pointer)(k2)) } if !t.Key.Equal(key, k2) { continue } // Only clear key if there are pointers in it. if t.IndirectKey() { *(*unsafe.Pointer)(k) = nil } else if t.Key.PtrBytes != 0 { memclrHasPointers(k, t.Key.Size_) } e := add(unsafe.Pointer(b), dataOffset+bucketCnt*uintptr(t.KeySize)+i*uintptr(t.ValueSize)) if t.IndirectElem() { *(*unsafe.Pointer)(e) = nil } else if t.Elem.PtrBytes != 0 { memclrHasPointers(e, t.Elem.Size_) } else { memclrNoHeapPointers(e, t.Elem.Size_) } b.tophash[i] = emptyOne // If the bucket now ends in a bunch of emptyOne states, // change those to emptyRest states. // It would be nice to make this a separate function, but // for loops are not currently inlineable. if i == bucketCnt-1 { if b.overflow(t) != nil && b.overflow(t).tophash[0] != emptyRest { goto notLast } } else { if b.tophash[i+1] != emptyRest { goto notLast } } for { b.tophash[i] = emptyRest if i == 0 { if b == bOrig { break // beginning of initial bucket, we're done. } // Find previous bucket, continue at its last entry. c := b for b = bOrig; b.overflow(t) != c; b = b.overflow(t) { } i = bucketCnt - 1 } else { i-- } if b.tophash[i] != emptyOne { break } } notLast: h.count-- // Reset the hash seed to make it more difficult for attackers to // repeatedly trigger hash collisions. See issue 25237. if h.count == 0 { h.hash0 = uint32(rand()) } break search } } if h.flags&hashWriting == 0 { fatal("concurrent map writes") } h.flags &^= hashWriting }
11、遍历map
前后两次遍历的key顺序不一致的原因:
①遍历桶的起始节点和桶内k-v偏移量随机
②map是否处于扩容阶段也影响遍历顺序
12、map扩容
二十一、hash特性
hash又称做散列,可将任意长度的输入压缩到某一固定长度的输出,特性如下:
1、可重入性
2、离散性
3、单向性
4、哈希冲突
二十二、协程的缺点
1、协程本质上是单核的,无法充分利用多核资源
2、每个协程都有一个有限的堆栈大小
3、存在潜在死锁与资源争用
4、协程并行特性使得调试变得复杂
二十三、切片底层原理
1、切片初始化
Go// 切片初始化 // 1、使用make函数 make([]int, len) 或者 make([]int, len, cap) c := make([]int, 2, 4) // 2、直接初始化 d := []int{1, 2, 3}
注意:make([]int, len, cap)中的[len, cap)的范围内,虽然已经分配了内存空间,但逻辑意义上不存在元素,直接访问会报数组越界(panic: runtime error: index out of range [2] with length 2)
2、底层数据结构
Gotype slice struct { array unsafe.Pointer // 指向底层数组的起始地址 len int // 长度 cap int // 容量 } // src/runtime/slice.go // 初始化 slice func makeslice(et *_type, len, cap int) unsafe.Pointer { mem, overflow := math.MulUintptr(et.Size_, uintptr(cap)) if overflow || mem > maxAlloc || len < 0 || len > cap { // NOTE: Produce a 'len out of range' error instead of a // 'cap out of range' error when someone does make([]T, bignumber). // 'cap out of range' is true too, but since the cap is only being // supplied implicitly, saying len is clearer. // See golang.org/issue/4085. mem, overflow := math.MulUintptr(et.Size_, uintptr(len)) if overflow || mem > maxAlloc || len < 0 { panicmakeslicelen() } panicmakeslicecap() } return mallocgc(mem, et, true) }
3、切片扩容
Gopackage main import "fmt" func main() { s := []int{1, 2, 3, 4} fmt.Printf("原始切片内容:%v 长度:%d 容量:%d 第一个元素的地址:%p \n", s, len(s), cap(s), &s[0]) // 切片追加元素,会导致扩容 s = append(s, 5) fmt.Printf("扩容后 切片内容:%v 长度:%d 容量:%d 第一个元素的地址:%p \n", s, len(s), cap(s), &s[0]) // 输出内容: // 原始切片内容:[1 2 3 4] 长度:4 容量:4 第一个元素的地址:0xc000016160 // 扩容后 切片内容:[1 2 3 4 5] 长度:5 容量:8 第一个元素的地址:0xc000010380 }
Go// src/runtime/slice.go 切片扩容 func growslice(oldPtr unsafe.Pointer, newLen, oldCap, num int, et *_type) slice { oldLen := newLen - num if raceenabled { callerpc := getcallerpc() racereadrangepc(oldPtr, uintptr(oldLen*int(et.Size_)), callerpc, abi.FuncPCABIInternal(growslice)) } if msanenabled { msanread(oldPtr, uintptr(oldLen*int(et.Size_))) } if asanenabled { asanread(oldPtr, uintptr(oldLen*int(et.Size_))) } if newLen < 0 { panic(errorString("growslice: len out of range")) } if et.Size_ == 0 { // append should not create a slice with nil pointer but non-zero len. // We assume that append doesn't need to preserve oldPtr in this case. return slice{unsafe.Pointer(&zerobase), newLen, newLen} } newcap := nextslicecap(newLen, oldCap) var overflow bool var lenmem, newlenmem, capmem uintptr // Specialize for common values of et.Size. // For 1 we don't need any division/multiplication. // For goarch.PtrSize, compiler will optimize division/multiplication into a shift by a constant. // For powers of 2, use a variable shift. noscan := et.PtrBytes == 0 switch { case et.Size_ == 1: lenmem = uintptr(oldLen) newlenmem = uintptr(newLen) capmem = roundupsize(uintptr(newcap), noscan) overflow = uintptr(newcap) > maxAlloc newcap = int(capmem) case et.Size_ == goarch.PtrSize: lenmem = uintptr(oldLen) * goarch.PtrSize newlenmem = uintptr(newLen) * goarch.PtrSize capmem = roundupsize(uintptr(newcap)*goarch.PtrSize, noscan) overflow = uintptr(newcap) > maxAlloc/goarch.PtrSize newcap = int(capmem / goarch.PtrSize) case isPowerOfTwo(et.Size_): var shift uintptr if goarch.PtrSize == 8 { // Mask shift for better code generation. shift = uintptr(sys.TrailingZeros64(uint64(et.Size_))) & 63 } else { shift = uintptr(sys.TrailingZeros32(uint32(et.Size_))) & 31 } lenmem = uintptr(oldLen) << shift newlenmem = uintptr(newLen) << shift capmem = roundupsize(uintptr(newcap)<<shift, noscan) overflow = uintptr(newcap) > (maxAlloc >> shift) newcap = int(capmem >> shift) capmem = uintptr(newcap) << shift default: lenmem = uintptr(oldLen) * et.Size_ newlenmem = uintptr(newLen) * et.Size_ capmem, overflow = math.MulUintptr(et.Size_, uintptr(newcap)) capmem = roundupsize(capmem, noscan) newcap = int(capmem / et.Size_) capmem = uintptr(newcap) * et.Size_ } // The check of overflow in addition to capmem > maxAlloc is needed // to prevent an overflow which can be used to trigger a segfault // on 32bit architectures with this example program: // // type T [1<<27 + 1]int64 // // var d T // var s []T // // func main() { // s = append(s, d, d, d, d) // print(len(s), "\n") // } if overflow || capmem > maxAlloc { panic(errorString("growslice: len out of range")) } var p unsafe.Pointer if et.PtrBytes == 0 { p = mallocgc(capmem, nil, false) // The append() that calls growslice is going to overwrite from oldLen to newLen. // Only clear the part that will not be overwritten. // The reflect_growslice() that calls growslice will manually clear // the region not cleared here. memclrNoHeapPointers(add(p, newlenmem), capmem-newlenmem) } else { // Note: can't use rawmem (which avoids zeroing of memory), because then GC can scan uninitialized memory. p = mallocgc(capmem, et, true) if lenmem > 0 && writeBarrier.enabled { // Only shade the pointers in oldPtr since we know the destination slice p // only contains nil pointers because it has been cleared during alloc. // // It's safe to pass a type to this function as an optimization because // from and to only ever refer to memory representing whole values of // type et. See the comment on bulkBarrierPreWrite. bulkBarrierPreWriteSrcOnly(uintptr(p), uintptr(oldPtr), lenmem-et.Size_+et.PtrBytes, et) } } memmove(p, oldPtr, lenmem) return slice{p, newLen, newcap} } // nextslicecap computes the next appropriate slice length. func nextslicecap(newLen, oldCap int) int { newcap := oldCap doublecap := newcap + newcap if newLen > doublecap { return newLen } const threshold = 256 if oldCap < threshold { return doublecap } for { // Transition from growing 2x for small slices // to growing 1.25x for large slices. This formula // gives a smooth-ish transition between the two. newcap += (newcap + 3*threshold) >> 2 // We need to check `newcap >= newLen` and whether `newcap` overflowed. // newLen is guaranteed to be larger than zero, hence // when newcap overflows then `uint(newcap) > uint(newLen)`. // This allows to check for both with the same comparison. if uint(newcap) >= uint(newLen) { break } } // Set newcap to the requested cap when // the newcap calculation overflowed. if newcap <= 0 { return newLen } return newcap }
二十四、context实现原理
context 主要在异步场景中实现并发协调以及对gorutine的生命周期控制,除此之外,context还带有一定的数据存储能力。
1、数据结构
Go// src/context/contex.go type Context interface { // 返回 ctx 的过期时间 Deadline() (deadline time.Time, ok bool) // 返回用以标识 ctx 是否结束的 chan Done() <-chan struct{} // 返回 ctx 的错误 Err() error // 返回 ctx 存放的 key 对应的 value Value(key any) any }
2、emptyCtx
Gotype emptyCtx struct{} func (emptyCtx) Deadline() (deadline time.Time, ok bool) { return } func (emptyCtx) Done() <-chan struct{} { return nil } func (emptyCtx) Err() error { return nil } func (emptyCtx) Value(key any) any { return nil } type backgroundCtx struct{ emptyCtx } func (backgroundCtx) String() string { return "context.Background" } type todoCtx struct{ emptyCtx } func (todoCtx) String() string { return "context.TODO" }
3、cancelCtx
Gotype cancelCtx struct { Context mu sync.Mutex // protects following fields done atomic.Value // of chan struct{}, created lazily, closed by first cancel call children map[canceler]struct{} // set to nil by the first cancel call err error // set to non-nil by the first cancel call cause error // set to non-nil by the first cancel call } type canceler interface { cancel(removeFromParent bool, err, cause error) Done() <-chan struct{} } func withCancel(parent Context) *cancelCtx { if parent == nil { panic("cannot create context from nil parent") } c := &cancelCtx{} c.propagateCancel(parent, c) return c } func (c *cancelCtx) propagateCancel(parent Context, child canceler) { c.Context = parent done := parent.Done() if done == nil { return // parent is never canceled } select { case <-done: // parent is already canceled child.cancel(false, parent.Err(), Cause(parent)) return default: } if p, ok := parentCancelCtx(parent); ok { // parent is a *cancelCtx, or derives from one. p.mu.Lock() if p.err != nil { // parent has already been canceled child.cancel(false, p.err, p.cause) } else { if p.children == nil { p.children = make(map[canceler]struct{}) } p.children[child] = struct{}{} } p.mu.Unlock() return } if a, ok := parent.(afterFuncer); ok { // parent implements an AfterFunc method. c.mu.Lock() stop := a.AfterFunc(func() { child.cancel(false, parent.Err(), Cause(parent)) }) c.Context = stopCtx{ Context: parent, stop: stop, } c.mu.Unlock() return } goroutines.Add(1) go func() { select { case <-parent.Done(): child.cancel(false, parent.Err(), Cause(parent)) case <-child.Done(): } }() }
4、timerCtx
Gotype timerCtx struct { cancelCtx timer *time.Timer // Under cancelCtx.mu. deadline time.Time } func (c *timerCtx) cancel(removeFromParent bool, err, cause error) { c.cancelCtx.cancel(false, err, cause) if removeFromParent { // Remove this timerCtx from its parent cancelCtx's children. removeChild(c.cancelCtx.Context, c) } c.mu.Lock() if c.timer != nil { c.timer.Stop() c.timer = nil } c.mu.Unlock() } func WithDeadlineCause(parent Context, d time.Time, cause error) (Context, CancelFunc) { if parent == nil { panic("cannot create context from nil parent") } if cur, ok := parent.Deadline(); ok && cur.Before(d) { // The current deadline is already sooner than the new one. return WithCancel(parent) } c := &timerCtx{ deadline: d, } c.cancelCtx.propagateCancel(parent, c) dur := time.Until(d) if dur <= 0 { c.cancel(true, DeadlineExceeded, cause) // deadline has already passed return c, func() { c.cancel(false, Canceled, nil) } } c.mu.Lock() defer c.mu.Unlock() if c.err == nil { c.timer = time.AfterFunc(dur, func() { c.cancel(true, DeadlineExceeded, cause) }) } return c, func() { c.cancel(true, Canceled, nil) } }
5、valueCtx
Gotype valueCtx struct { // 父ctx Context // 存储在 ctx 中的键值对,注意只有一个键值对 key, val any } func (c *valueCtx) Value(key any) any { if c.key == key { return c.val } return value(c.Context, key) } func value(c Context, key any) any { for { switch ctx := c.(type) { case *valueCtx: if key == ctx.key { return ctx.val } c = ctx.Context case *cancelCtx: if key == &cancelCtxKey { return c } c = ctx.Context case withoutCancelCtx: if key == &cancelCtxKey { // This implements Cause(ctx) == nil // when ctx is created using WithoutCancel. return nil } c = ctx.c case *timerCtx: if key == &cancelCtxKey { return &ctx.cancelCtx } c = ctx.Context case backgroundCtx, todoCtx: return nil default: return c.Value(key) } } }
二十五、http实现原理
1、http使用方法
Gopackage main import "net/http" func main() { // 注册路由及处理函数 http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { w.Write([]byte("Hello World!")) }) // 启动监听 8080 端口 http.ListenAndServe(":8080", nil) }
2、服务端数据结构
Go// src/net/http/server.go type Server struct { // 服务器地址 Addr string // 路由处理器 Handler Handler // handler to invoke, http.DefaultServeMux if nil DisableGeneralOptionsHandler bool TLSConfig *tls.Config ReadTimeout time.Duration ReadHeaderTimeout time.Duration WriteTimeout time.Duration IdleTimeout time.Duration MaxHeaderBytes int TLSNextProto map[string]func(*Server, *tls.Conn, Handler) ConnState func(net.Conn, ConnState) ErrorLog *log.Logger BaseContext func(net.Listener) context.Context ConnContext func(ctx context.Context, c net.Conn) context.Context inShutdown atomic.Bool // true when server is in shutdown disableKeepAlives atomic.Bool nextProtoOnce sync.Once // guards setupHTTP2_* init nextProtoErr error // result of http2.ConfigureServer if used mu sync.Mutex listeners map[*net.Listener]struct{} activeConn map[*conn]struct{} onShutdown []func() listenerGroup sync.WaitGroup } type Handler interface { ServeHTTP(ResponseWriter, *Request) } // ServeMux 是对 Handler 的具体实现,内部通过 map 维护了 path 到 handler 处理函数的映射关系 type ServeMux struct { mu sync.RWMutex tree routingNode index routingIndex patterns []*pattern // TODO(jba): remove if possible mux121 serveMux121 // used only when GODEBUG=httpmuxgo121=1 }
Handler 是server中最核心的成员字段,实现了从请求路径path到具体处理函数 handler 的注册和映射能力。
3、注册handler
Gofunc HandleFunc(pattern string, handler func(ResponseWriter, *Request)) { if use121 { DefaultServeMux.mux121.handleFunc(pattern, handler) } else { DefaultServeMux.register(pattern, HandlerFunc(handler)) } } func (mux *ServeMux) register(pattern string, handler Handler) { if err := mux.registerErr(pattern, handler); err != nil { panic(err) } } func (mux *ServeMux) registerErr(patstr string, handler Handler) error { if patstr == "" { return errors.New("http: invalid pattern") } if handler == nil { return errors.New("http: nil handler") } if f, ok := handler.(HandlerFunc); ok && f == nil { return errors.New("http: nil handler") } pat, err := parsePattern(patstr) if err != nil { return fmt.Errorf("parsing %q: %w", patstr, err) } // Get the caller's location, for better conflict error messages. // Skip register and whatever calls it. _, file, line, ok := runtime.Caller(3) if !ok { pat.loc = "unknown location" } else { pat.loc = fmt.Sprintf("%s:%d", file, line) } mux.mu.Lock() defer mux.mu.Unlock() // Check for conflict. if err := mux.index.possiblyConflictingPatterns(pat, func(pat2 *pattern) error { if pat.conflictsWith(pat2) { d := describeConflict(pat, pat2) return fmt.Errorf("pattern %q (registered at %s) conflicts with pattern %q (registered at %s):\n%s", pat, pat.loc, pat2, pat2.loc, d) } return nil }); err != nil { return err } mux.tree.addPattern(pat, handler) mux.index.addPattern(pat) mux.patterns = append(mux.patterns, pat) return nil }
4、启动 server
Go// src/net/http/server.go func ListenAndServe(addr string, handler Handler) error { server := &Server{Addr: addr, Handler: handler} return server.ListenAndServe() } func (srv *Server) ListenAndServe() error { if srv.shuttingDown() { return ErrServerClosed } addr := srv.Addr if addr == "" { addr = ":http" } ln, err := net.Listen("tcp", addr) if err != nil { return err } return srv.Serve(ln) } func (srv *Server) Serve(l net.Listener) error { if fn := testHookServerServe; fn != nil { fn(srv, l) // call hook with unwrapped listener } origListener := l l = &onceCloseListener{Listener: l} defer l.Close() if err := srv.setupHTTP2_Serve(); err != nil { return err } if !srv.trackListener(&l, true) { return ErrServerClosed } defer srv.trackListener(&l, false) baseCtx := context.Background() if srv.BaseContext != nil { baseCtx = srv.BaseContext(origListener) if baseCtx == nil { panic("BaseContext returned a nil context") } } var tempDelay time.Duration // how long to sleep on accept failure ctx := context.WithValue(baseCtx, ServerContextKey, srv) for { rw, err := l.Accept() if err != nil { if srv.shuttingDown() { return ErrServerClosed } if ne, ok := err.(net.Error); ok && ne.Temporary() { if tempDelay == 0 { tempDelay = 5 * time.Millisecond } else { tempDelay *= 2 } if max := 1 * time.Second; tempDelay > max { tempDelay = max } srv.logf("http: Accept error: %v; retrying in %v", err, tempDelay) time.Sleep(tempDelay) continue } return err } connCtx := ctx if cc := srv.ConnContext; cc != nil { connCtx = cc(connCtx, rw) if connCtx == nil { panic("ConnContext returned nil") } } tempDelay = 0 c := srv.newConn(rw) c.setState(c.rwc, StateNew, runHooks) // before Serve can return go c.serve(connCtx) } } func (c *conn) serve(ctx context.Context) { if ra := c.rwc.RemoteAddr(); ra != nil { c.remoteAddr = ra.String() } ctx = context.WithValue(ctx, LocalAddrContextKey, c.rwc.LocalAddr()) var inFlightResponse *response defer func() { if err := recover(); err != nil && err != ErrAbortHandler { const size = 64 << 10 buf := make([]byte, size) buf = buf[:runtime.Stack(buf, false)] c.server.logf("http: panic serving %v: %v\n%s", c.remoteAddr, err, buf) } if inFlightResponse != nil { inFlightResponse.cancelCtx() } if !c.hijacked() { if inFlightResponse != nil { inFlightResponse.conn.r.abortPendingRead() inFlightResponse.reqBody.Close() } c.close() c.setState(c.rwc, StateClosed, runHooks) } }() if tlsConn, ok := c.rwc.(*tls.Conn); ok { tlsTO := c.server.tlsHandshakeTimeout() if tlsTO > 0 { dl := time.Now().Add(tlsTO) c.rwc.SetReadDeadline(dl) c.rwc.SetWriteDeadline(dl) } if err := tlsConn.HandshakeContext(ctx); err != nil { // If the handshake failed due to the client not speaking // TLS, assume they're speaking plaintext HTTP and write a // 400 response on the TLS conn's underlying net.Conn. if re, ok := err.(tls.RecordHeaderError); ok && re.Conn != nil && tlsRecordHeaderLooksLikeHTTP(re.RecordHeader) { io.WriteString(re.Conn, "HTTP/1.0 400 Bad Request\r\n\r\nClient sent an HTTP request to an HTTPS server.\n") re.Conn.Close() return } c.server.logf("http: TLS handshake error from %s: %v", c.rwc.RemoteAddr(), err) return } // Restore Conn-level deadlines. if tlsTO > 0 { c.rwc.SetReadDeadline(time.Time{}) c.rwc.SetWriteDeadline(time.Time{}) } c.tlsState = new(tls.ConnectionState) *c.tlsState = tlsConn.ConnectionState() if proto := c.tlsState.NegotiatedProtocol; validNextProto(proto) { if fn := c.server.TLSNextProto[proto]; fn != nil { h := initALPNRequest{ctx, tlsConn, serverHandler{c.server}} // Mark freshly created HTTP/2 as active and prevent any server state hooks // from being run on these connections. This prevents closeIdleConns from // closing such connections. See issue https://golang.org/issue/39776. c.setState(c.rwc, StateActive, skipHooks) fn(c.server, tlsConn, h) } return } } // HTTP/1.x from here on. ctx, cancelCtx := context.WithCancel(ctx) c.cancelCtx = cancelCtx defer cancelCtx() c.r = &connReader{conn: c} c.bufr = newBufioReader(c.r) c.bufw = newBufioWriterSize(checkConnErrorWriter{c}, 4<<10) for { w, err := c.readRequest(ctx) if c.r.remain != c.server.initialReadLimitSize() { // If we read any bytes off the wire, we're active. c.setState(c.rwc, StateActive, runHooks) } if err != nil { const errorHeaders = "\r\nContent-Type: text/plain; charset=utf-8\r\nConnection: close\r\n\r\n" switch { case err == errTooLarge: // Their HTTP client may or may not be // able to read this if we're // responding to them and hanging up // while they're still writing their // request. Undefined behavior. const publicErr = "431 Request Header Fields Too Large" fmt.Fprintf(c.rwc, "HTTP/1.1 "+publicErr+errorHeaders+publicErr) c.closeWriteAndWait() return case isUnsupportedTEError(err): // Respond as per RFC 7230 Section 3.3.1 which says, // A server that receives a request message with a // transfer coding it does not understand SHOULD // respond with 501 (Unimplemented). code := StatusNotImplemented // We purposefully aren't echoing back the transfer-encoding's value, // so as to mitigate the risk of cross side scripting by an attacker. fmt.Fprintf(c.rwc, "HTTP/1.1 %d %s%sUnsupported transfer encoding", code, StatusText(code), errorHeaders) return case isCommonNetReadError(err): return // don't reply default: if v, ok := err.(statusError); ok { fmt.Fprintf(c.rwc, "HTTP/1.1 %d %s: %s%s%d %s: %s", v.code, StatusText(v.code), v.text, errorHeaders, v.code, StatusText(v.code), v.text) return } const publicErr = "400 Bad Request" fmt.Fprintf(c.rwc, "HTTP/1.1 "+publicErr+errorHeaders+publicErr) return } } // Expect 100 Continue support req := w.req if req.expectsContinue() { if req.ProtoAtLeast(1, 1) && req.ContentLength != 0 { // Wrap the Body reader with one that replies on the connection req.Body = &expectContinueReader{readCloser: req.Body, resp: w} w.canWriteContinue.Store(true) } } else if req.Header.get("Expect") != "" { w.sendExpectationFailed() return } c.curReq.Store(w) if requestBodyRemains(req.Body) { registerOnHitEOF(req.Body, w.conn.r.startBackgroundRead) } else { w.conn.r.startBackgroundRead() } // HTTP cannot have multiple simultaneous active requests.[*] // Until the server replies to this request, it can't read another, // so we might as well run the handler in this goroutine. // [*] Not strictly true: HTTP pipelining. We could let them all process // in parallel even if their responses need to be serialized. // But we're not going to implement HTTP pipelining because it // was never deployed in the wild and the answer is HTTP/2. inFlightResponse = w serverHandler{c.server}.ServeHTTP(w, w.req) inFlightResponse = nil w.cancelCtx() if c.hijacked() { return } w.finishRequest() c.rwc.SetWriteDeadline(time.Time{}) if !w.shouldReuseConnection() { if w.requestBodyLimitHit || w.closedRequestBodyEarly() { c.closeWriteAndWait() } return } c.setState(c.rwc, StateIdle, runHooks) c.curReq.Store(nil) if !w.conn.server.doKeepAlives() { // We're in shutdown mode. We might've replied // to the user without "Connection: close" and // they might think they can send another // request, but such is life with HTTP/1.1. return } if d := c.server.idleTimeout(); d != 0 { c.rwc.SetReadDeadline(time.Now().Add(d)) } else { c.rwc.SetReadDeadline(time.Time{}) } // Wait for the connection to become readable again before trying to // read the next request. This prevents a ReadHeaderTimeout or // ReadTimeout from starting until the first bytes of the next request // have been received. if _, err := c.bufr.Peek(4); err != nil { return } c.rwc.SetReadDeadline(time.Time{}) } } func (mux *ServeMux) findHandler(r *Request) (h Handler, patStr string, _ *pattern, matches []string) { var n *routingNode host := r.URL.Host escapedPath := r.URL.EscapedPath() path := escapedPath // CONNECT requests are not canonicalized. if r.Method == "CONNECT" { // If r.URL.Path is /tree and its handler is not registered, // the /tree -> /tree/ redirect applies to CONNECT requests // but the path canonicalization does not. _, _, u := mux.matchOrRedirect(host, r.Method, path, r.URL) if u != nil { return RedirectHandler(u.String(), StatusMovedPermanently), u.Path, nil, nil } // Redo the match, this time with r.Host instead of r.URL.Host. // Pass a nil URL to skip the trailing-slash redirect logic. n, matches, _ = mux.matchOrRedirect(r.Host, r.Method, path, nil) } else { // All other requests have any port stripped and path cleaned // before passing to mux.handler. host = stripHostPort(r.Host) path = cleanPath(path) // If the given path is /tree and its handler is not registered, // redirect for /tree/. var u *url.URL n, matches, u = mux.matchOrRedirect(host, r.Method, path, r.URL) if u != nil { return RedirectHandler(u.String(), StatusMovedPermanently), u.Path, nil, nil } if path != escapedPath { // Redirect to cleaned path. patStr := "" if n != nil { patStr = n.pattern.String() } u := &url.URL{Path: path, RawQuery: r.URL.RawQuery} return RedirectHandler(u.String(), StatusMovedPermanently), patStr, nil, nil } } if n == nil { // We didn't find a match with the request method. To distinguish between // Not Found and Method Not Allowed, see if there is another pattern that // matches except for the method. allowedMethods := mux.matchingMethods(host, path) if len(allowedMethods) > 0 { return HandlerFunc(func(w ResponseWriter, r *Request) { w.Header().Set("Allow", strings.Join(allowedMethods, ", ")) Error(w, StatusText(StatusMethodNotAllowed), StatusMethodNotAllowed) }), "", nil, nil } return NotFoundHandler(), "", nil, nil } return n.handler, n.pattern.String(), n.pattern, matches }
二十六、Mysql慢查询该如何优化?
- 检查是否走了索引,如果没有则优化SQL利用索引
- 检查所利用的索引,是否是最优索引
- 检查所查字段是否都是必须的,是否查询了过多字段,查出了多余数据
- 检查表中数据是否过多,是否应该进行分库分表
- 检查数据库实例所在机器的性能配置,是否太低,是否可以适当增加资