这期内容当中小编将会给大家带来有关dubbo-go中randomLoadBalance的作用是什么,文章内容丰富且以专业的角度为大家分析和叙述,阅读完这篇文章希望大家可以有所收获。
dubbo-go-v1.4.2/cluster/loadbalance/random.go
const ( name = "random" ) func init() { extension.SetLoadbalance(name, NewRandomLoadBalance) } type randomLoadBalance struct { } // NewRandomLoadBalance ... func NewRandomLoadBalance() cluster.LoadBalance { return &randomLoadBalance{} }
randomLoadBalance的NewRandomLoadBalance方法创建randomLoadBalance
dubbo-go-v1.4.2/cluster/loadbalance/random.go
func (lb *randomLoadBalance) Select(invokers []protocol.Invoker, invocation protocol.Invocation) protocol.Invoker { var length int if length = len(invokers); length == 1 { return invokers[0] } sameWeight := true weights := make([]int64, length) firstWeight := GetWeight(invokers[0], invocation) totalWeight := firstWeight weights[0] = firstWeight for i := 1; i < length; i++ { weight := GetWeight(invokers[i], invocation) weights[i] = weight totalWeight += weight if sameWeight && weight != firstWeight { sameWeight = false } } if totalWeight > 0 && !sameWeight { // If (not every invoker has the same weight & at least one invoker's weight>0), select randomly based on totalWeight. offset := rand.Int63n(totalWeight) for i := 0; i < length; i++ { offset -= weights[i] if offset < 0 { return invokers[i] } } } // If all invokers have the same weight value or totalWeight=0, return evenly. return invokers[rand.Intn(length)] }
Select方法先判断invokers数量,若只有一个则返回invokers[0];之后遍历invokers计算totalWeight及sameWeight,若totalWeight大于0且sameWeight为false则使用rand.Int63n(totalWeight)随机一个offset,之后遍历weights,用offset挨个去减weights[i],若offset小于0,则返回invokers[i];若都没有选中,则返回invokers[rand.Intn(length)]
randomLoadBalance的NewRandomLoadBalance方法创建randomLoadBalance;其Select方法使用了带weight的方法,具体就是使用rand.Int63n(totalWeight)随机一个offset,之后遍历weights,用offset挨个去减weights[i],若offset小于0,则返回invokers[i]
上述就是小编为大家分享的dubbo-go中randomLoadBalance的作用是什么了,如果刚好有类似的疑惑,不妨参照上述分析进行理解。如果想知道更多相关知识,欢迎关注亿速云行业资讯频道。
免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。