NSQ系列之nsqlookupd代码分析四(详解nsqlookupd中的RegitrationDB操作方法)
上一章我们大致了解了nsqlookupd
的tcpServer
中的IOLoop
协议的处理逻辑,里面有提到一个存储nsqd
的PeerInfo
以及topic
channel
数据信息的RegitrationDB
的一些操作方法。今天我们就来讲解一下关于RegitrationDB
的操作方法
废话不多说,直接上代码吧(代码位于nsq/nsqlookupd/regitration_db.go这个文件中)
type RegistrationDB struct {
sync.RWMutex //读写锁用于并发操作
registrationMap map[Registration]Producers //定义一个一Regitration为key producer指针的slice为value的map
}
type Registration struct {
Category string
Key string
SubKey string
}
type Registrations []Registration
//用于记录client相关信息
type PeerInfo struct {
lastUpdate int64 //client 心跳包最后接收时间
id string //client remote address
RemoteAddress string `json:"remote_address"`
Hostname string `json:"hostname"`
BroadcastAddress string `json:"broadcast_address"`
TCPPort int `json:"tcp_port"`
HTTPPort int `json:"http_port"`
Version string `json:"version"`
}
type Producer struct {
//PeerInfo指针
peerInfo *PeerInfo
tombstoned bool
tombstonedAt time.Time
}
type Producers []*Producer
//实现String接口,打印出producer信息
func (p *Producer) String() string {
return fmt.Sprintf("%s [%d, %d]", p.peerInfo.BroadcastAddress, p.peerInfo.TCPPort, p.peerInfo.HTTPPort)
}
//producer标记为tombstoned 并记录当前时间
func (p *Producer) Tombstone() {
p.tombstoned = true
p.tombstonedAt = time.Now()
}
//判断producer是否是tombstoned
func (p *Producer) IsTombstoned(lifetime time.Duration) bool {
return p.tombstoned && time.Now().Sub(p.tombstonedAt) < lifetime
}
//初始化一个RegistrationDB
func NewRegistrationDB() *RegistrationDB {
return &RegistrationDB{
registrationMap: make(map[Registration]Producers),
}
}
// add a registration key
//添加一个Registration key 如果不存在Map中则将其设置为你一个空的Producer
func (r *RegistrationDB) AddRegistration(k Registration) {
r.Lock()
defer r.Unlock()
_, ok := r.registrationMap[k]
if !ok {
r.registrationMap[k] = Producers{}
}
}
// add a producer to a registration
//添加一个producer到registration中
func (r *RegistrationDB) AddProducer(k Registration, p *Producer) bool {
r.Lock()
defer r.Unlock()
producers := r.registrationMap[k]
found := false
for _, producer := range producers {
if producer.peerInfo.id == p.peerInfo.id {
found = true
}
}
if found == false {
r.registrationMap[k] = append(producers, p)
}
return !found
}
// remove a producer from a registration
//移除registration中一个producer
func (r *RegistrationDB) RemoveProducer(k Registration, id string) (bool, int) {
r.Lock()
defer r.Unlock()
producers, ok := r.registrationMap[k]
if !ok {
return false, 0
}
removed := false
//这里用到里从一个slice中删除一个元素的方法
cleaned := Producers{}
for _, producer := range producers {
if producer.peerInfo.id != id {
cleaned = append(cleaned, producer)
} else {
removed = true
}
}
// Note: this leaves keys in the DB even if they have empty lists
r.registrationMap[k] = cleaned
//返货是否移除以及新的producers长度
return removed, len(cleaned)
}
// remove a Registration and all it's producers
//删除registration下所有的producers
func (r *RegistrationDB) RemoveRegistration(k Registration) {
r.Lock()
defer r.Unlock()
delete(r.registrationMap, k)
}
func (r *RegistrationDB) needFilter(key string, subkey string) bool {
return key == "*" || subkey == "*"
}
//根据category key subkey查找Registrations
//如果传入的key 或 subkey为*的话则获取所有的registrationMap中所有的registration
//如果key 或 subkey 不为* 的话则 获取具体的registration
//这里实现了类似 * 这个通配符的概念
func (r *RegistrationDB) FindRegistrations(category string, key string, subkey string) Registrations {
r.RLock()
defer r.RUnlock()
if !r.needFilter(key, subkey) {
k := Registration{category, key, subkey}
if _, ok := r.registrationMap[k]; ok {
return Registrations{k}
}
return Registrations{}
}
results := Registrations{}
for k := range r.registrationMap {
if !k.IsMatch(category, key, subkey) {
continue
}
results = append(results, k)
}
return results
}
//根据category key subkey查找所有的Producer
//同上面的FindRegistrations函数一样,实现了*通配符的概念
func (r *RegistrationDB) FindProducers(category string, key string, subkey string) Producers {
r.RLock()
defer r.RUnlock()
if !r.needFilter(key, subkey) {
k := Registration{category, key, subkey}
return r.registrationMap[k]
}
results := Producers{}
for k, producers := range r.registrationMap {
if !k.IsMatch(category, key, subkey) {
continue
}
for _, producer := range producers {
found := false
for _, p := range results {
if producer.peerInfo.id == p.peerInfo.id {
found = true
}
}
if found == false {
results = append(results, producer)
}
}
}
return results
}
//根据producer.peerInfo.id查找所属的registration key
func (r *RegistrationDB) LookupRegistrations(id string) Registrations {
r.RLock()
defer r.RUnlock()
results := Registrations{}
for k, producers := range r.registrationMap {
for _, p := range producers {
if p.peerInfo.id == id {
results = append(results, k)
break
}
}
}
return results
}
//依据Registration中的category key subkey,判断是否与Registration匹配
func (k Registration) IsMatch(category string, key string, subkey string) bool {
if category != k.Category {
return false
}
if key != "*" && k.Key != key {
return false
}
if subkey != "*" && k.SubKey != subkey {
return false
}
return true
}
//根据category key subkey过滤Registrations
func (rr Registrations) Filter(category string, key string, subkey string) Registrations {
output := Registrations{}
for _, k := range rr {
if k.IsMatch(category, key, subkey) {
output = append(output, k)
}
}
return output
}
//获取registrationMap中所有Registration的key
func (rr Registrations) Keys() []string {
keys := make([]string, len(rr))
for i, k := range rr {
keys[i] = k.Key
}
return keys
}
//获取registrationMap中所有Registration的subkey
func (rr Registrations) SubKeys() []string {
subkeys := make([]string, len(rr))
for i, k := range rr {
subkeys[i] = k.SubKey
}
return subkeys
}
//过滤出所有可用的Producer
func (pp Producers) FilterByActive(inactivityTimeout time.Duration, tombstoneLifetime time.Duration) Producers {
now := time.Now()
results := Producers{}
for _, p := range pp {
cur := time.Unix(0, atomic.LoadInt64(&p.peerInfo.lastUpdate))
if now.Sub(cur) > inactivityTimeout || p.IsTombstoned(tombstoneLifetime) {
continue
}
results = append(results, p)
}
return results
}
//获取Producers中所有的PeerInfo
func (pp Producers) PeerInfo() []*PeerInfo {
results := []*PeerInfo{}
for _, p := range pp {
results = append(results, p.peerInfo)
}
return results
}
通过上面代码的分析我们不难看出registration_db.go
文件用map
的形式保存Producer
,并提供一系列增、删、改、查的操作。同时使用RWMutex
做并发控制。
到这里我们讲解了nsqlookupd
中tcpServer
的全部代码了,我们了解了nsqlookupd
是用来发现并记录nsqd
服务相关的remot address tcp
端口 http
端口等信息 以及 相应的topic
和channel
信息的功能,这样好方便消费查询相应的topic
和channel
的nsqd
服务链接信息,已实现对nsqd
进行拓扑管理的功能。
下一章我们开始分析nsqlookupd
中的httpServer
相关的代码
PS:顺便附送前面三章的传送门
NSQ系列之nsqlookupd代码分析一(初探nsqlookup)
NSQ系列之nsqlookupd代码分析二(初识nsqlookupd tcpServer)
NSQ系列之nsqlookupd代码分析三(详解tcpServer 中的IOLoop方法)
PS:如果文中有错误,欢迎大家指正哦。
来源:oschina
链接:https://my.oschina.net/u/1765505/blog/500450