Go LRU Cache 抛砖引玉

目录

1. LRU Cache

2. container/list.go

2.1 list 数据结构

2.2 list 使用例子

3. transport.go connLRU

4. 结尾

正文

1. LRU Cache

package cache
 
import (
	"container/list"
	"sync"
)
 
// entry 存储的实体
type entry struct {
	key, val interface{}
}
 
// Cache 缓存结构
type Cache struct {
	// m 保证 LRU Cache 访问线程安全
	rw sync.RWMutex
 
	// max 标识缓存容量的最大值, = 0 标识无限缓存
	max int
 
	// list 是 entry 循环双向链表
	list *list.List
 
	// pond entry 缓存池子 key -> entry
	pond map[interface{}]*list.Element
}
 
// New 构建 LRU Cache 缓存结构
func New(max int) *Cache {
	return &Cache{
		max:  max,
		list: list.New(),
		pond: make(map[interface{}]*list.Element),
	}
}
 
func (c *Cache) delete(key interface{}) {
	element, ok := c.pond[key]
	if ok {
		delete(c.pond, key)
		c.list.Remove(element)
		return
	}
}
 
// Set 设置缓存
func (c *Cache) Set(key, val interface{}) {
	c.rw.Lock()
	defer c.rw.Unlock()
 
	// 看是否进入删除分支
	if val == nil {
		c.delete(key)
		return
	}
 
	element, ok := c.pond[key]
	if ok {
		// 重新设置 value 数据
		element.Value.(*entry).val = val
		// set key nil exists 进入 update 逻辑
		c.list.MoveToFront(element)
		return
	}
 
	// 首次添加
	c.pond[key] = c.list.PushFront(&entry{key, val})
 
	// 数据过多, 删除尾巴数据
	if c.list.Len() > c.max && c.max > 0 {
		delete(c.pond, c.list.Remove(c.list.Back()).(*entry).key)
	}
}
 
// Get 获取缓存
func (c *Cache) Get(key interface{}) (val interface{}, ok bool) {
	c.rw.RLock()
	defer c.rw.RUnlock()
 
	if element, ok := c.pond[key]; ok {
		// 获取指定缓存值
		val, ok = element.Value.(*entry).val, true
		// 调整缓存热点
		c.list.MoveToFront(element)
	}
	return
}

原理是 1. RWLock 做线程安全 2. list 双向链表保存时间新老关系 2. map 为了让时间复杂度到 O(1).

使用教程:

// 创建
c := cache.New(1)
 
// 设置
c.Set("123", "123")
c.Set("234", "234")
 
// 使用
fmt.Println(c.Get("123"))
fmt.Println(c.Get("234"))
 
// 删除
c.Set("123", nil)

2. container/list.go

2.1 list 数据结构

上面 LRU Cache 代码中引用了 "container/list" , 简单分析下 list, 加深基础数据结构的了解.

// Copyright 2009 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
 
// Package list implements a doubly linked list.
//
// To iterate over a list (where l is a *List):
//    for e := l.Front(); e != nil; e = e.Next() {
//        // do something with e.Value
//    }
//
package list
 
// Element is an element of a linked list.
type Element struct {
    // Next and previous pointers in the doubly-linked list of elements.
    // To simplify the implementation, internally a list l is implemented
    // as a ring, such that &l.root is both the next element of the last
    // list element (l.Back()) and the previous element of the first list
    // element (l.Front()).
    next, prev *Element
 
    // The list to which this element belongs.
    list *List
 
    // The value stored with this element.
    Value interface{}
}
 
// Next returns the next list element or nil.
func (e *Element) Next() *Element {
    if p := e.next; e.list != nil && p != &e.list.root {
        return p
    }
    return nil
}
 
// Prev returns the previous list element or nil.
func (e *Element) Prev() *Element {
    if p := e.prev; e.list != nil && p != &e.list.root {
        return p
    }
    return nil
}
 
// List represents a doubly linked list.
// The zero value for List is an empty list ready to use.
type List struct {
    root Element // sentinel list element, only &root, root.prev, and root.next are used
    len  int     // current list length excluding (this) sentinel element
}

它是个特殊循环双向链表数据结构, 特殊之处在于 Element::List  指向头结点(root list).

关于业务 list.go 具体实现部分我们不表.

2.2 list 使用例子

func Test_List_Demo(t *testing.T) {
 
    // Persion 普通人
    type Persion struct {
        Name string
        Age  int
    }
 
    pers := list.New()
 
    // 链表数据填充
    pers.PushBack(&Persion{Name: "wang", Age: 31})
    pers.PushFront(&Persion{Name: "zhi", Age: 31})
 
    fmt.Printf("List Len() = %d\n", pers.Len())
    if pers.Len() != 2 {
        t.Fatal("pers.Len() != 2 data faild")
    }
 
    // 开始遍历数据
    for element := pers.Front(); element != nil; element = element.Next() {
        per, ok := element.Value.(*Persion)
        if !ok {
            panic(fmt.Sprint("Persion list faild", element.Value))
        }
        fmt.Println(per)
    }
 
    // 数据删除
    for element := pers.Front(); element != nil; {
        next := element.Next()
        pers.Remove(element)
        element = next
    }
 
    fmt.Printf("List Len() = %d\n", pers.Len())
    if pers.Len() != 0 {
        t.Fatal("pers.Len() != 0 data faild")
    }
}

单元测试结果:

Running tool: /usr/local/go/bin/go test -timeout 30s -run ^Test_List_Demo$ demo/src/container/list -v -count=1
 
=== RUN   Test_List_Demo
List Len() = 2
&{zhi 31}
&{wang 31}
List Len() = 0
--- PASS: Test_List_Demo (0.00s)
PASS
ok      demo/src/container/list    0.002s

3. transport.go connLRU

抛一段 Go 源码中一处应用, 小学以小用

//
// src/net/http/transport.go
//
 
// persistConn wraps a connection, usually a persistent one
// (but may be used for non-keep-alive requests as well)
type persistConn struct {
　　... 
　　.. 
　　.
}
 
type connLRU struct {
    ll *list.List // list.Element.Value type is of *persistConn
    m  map[*persistConn]*list.Element
}
 
// add adds pc to the head of the linked list.
func (cl *connLRU) add(pc *persistConn) {
    if cl.ll == nil {
        cl.ll = list.New()
        cl.m = make(map[*persistConn]*list.Element)
    }
    ele := cl.ll.PushFront(pc)
    if _, ok := cl.m[pc]; ok {
        panic("persistConn was already in LRU")
    }
    cl.m[pc] = ele
}
 
func (cl *connLRU) removeOldest() *persistConn {
    ele := cl.ll.Back()
    pc := ele.Value.(*persistConn)
    cl.ll.Remove(ele)
    delete(cl.m, pc)
    return pc
}
 
// remove removes pc from cl.
func (cl *connLRU) remove(pc *persistConn) {
    if ele, ok := cl.m[pc]; ok {
        cl.ll.Remove(ele)
        delete(cl.m, pc)
    }
}
 
// len returns the number of items in the cache.
func (cl *connLRU) len() int {
    return len(cl.m)
}

4. 结尾

很多代码, 很多事情也都平淡无奇, 但凡事种种都离不开用心, 反复琢磨 ~ 方能长久

欢迎批评指正交流 ~ good luckly ~