package pub_balancer import ( cmap "github.com/orcaman/concurrent-map/v2" "github.com/seaweedfs/seaweedfs/weed/glog" "github.com/seaweedfs/seaweedfs/weed/pb/mq_pb" "math/rand" "time" ) func AllocateTopicPartitions(brokers cmap.ConcurrentMap[string, *BrokerStats], partitionCount int32) (assignments []*mq_pb.BrokerPartitionAssignment) { // divide the ring into partitions now := time.Now().UnixNano() rangeSize := MaxPartitionCount / partitionCount for i := int32(0); i < partitionCount; i++ { assignment := &mq_pb.BrokerPartitionAssignment{ Partition: &mq_pb.Partition{ RingSize: MaxPartitionCount, RangeStart: int32(i * rangeSize), RangeStop: int32((i + 1) * rangeSize), UnixTimeNs: now, }, } if i == partitionCount-1 { assignment.Partition.RangeStop = MaxPartitionCount } assignments = append(assignments, assignment) } // pick the brokers pickedBrokers := pickBrokers(brokers, partitionCount) // assign the partitions to brokers for i, assignment := range assignments { assignment.LeaderBroker = pickedBrokers[i] } glog.V(0).Infof("allocate topic partitions %d: %v", len(assignments), assignments) return } // randomly pick n brokers, which may contain duplicates // TODO pick brokers based on the broker stats func pickBrokers(brokers cmap.ConcurrentMap[string, *BrokerStats], count int32) []string { candidates := make([]string, 0, brokers.Count()) for brokerStatsItem := range brokers.IterBuffered() { candidates = append(candidates, brokerStatsItem.Key) } pickedBrokers := make([]string, 0, count) for i := int32(0); i < count; i++ { p := rand.Intn(len(candidates)) pickedBrokers = append(pickedBrokers, candidates[p]) } return pickedBrokers } // reservoir sampling select N brokers from the active brokers, with exclusion of the excluded brokers func pickBrokersExcluded(brokers []string, count int, excludedLeadBroker string, excludedBrokers []string) []string { // convert the excluded brokers to a map excludedBrokerMap := make(map[string]bool) for _, broker := range excludedBrokers { excludedBrokerMap[broker] = true } if excludedLeadBroker != "" { excludedBrokerMap[excludedLeadBroker] = true } pickedBrokers := make([]string, 0, count) for i, broker := range brokers { if _, found := excludedBrokerMap[broker]; found { continue } if len(pickedBrokers) < count { pickedBrokers = append(pickedBrokers, broker) } else { j := rand.Intn(i + 1) if j < count { pickedBrokers[j] = broker } } } // shuffle the picked brokers count = len(pickedBrokers) for i := 0; i < count; i++ { j := rand.Intn(count) pickedBrokers[i], pickedBrokers[j] = pickedBrokers[j], pickedBrokers[i] } return pickedBrokers } // EnsureAssignmentsToActiveBrokers ensures the assignments are assigned to active brokers func EnsureAssignmentsToActiveBrokers(activeBrokers cmap.ConcurrentMap[string, *BrokerStats], followerCount int, assignments []*mq_pb.BrokerPartitionAssignment) (hasChanges bool) { candidates := make([]string, 0, activeBrokers.Count()) for brokerStatsItem := range activeBrokers.IterBuffered() { candidates = append(candidates, brokerStatsItem.Key) } for _, assignment := range assignments { // count how many brokers are needed count := 0 if assignment.LeaderBroker == "" { count++ } else if _, found := activeBrokers.Get(assignment.LeaderBroker); !found { assignment.LeaderBroker = "" count++ } for i:=0; i= len(assignment.FollowerBrokers) { count++ continue } if assignment.FollowerBrokers[i] == "" { count++ } else if _, found := activeBrokers.Get(assignment.FollowerBrokers[i]); !found { assignment.FollowerBrokers[i] = "" count++ } } if count > 0 { pickedBrokers := pickBrokersExcluded(candidates, count, assignment.LeaderBroker, assignment.FollowerBrokers) i := 0 if assignment.LeaderBroker == "" { assignment.LeaderBroker = pickedBrokers[i] i++ hasChanges = true } hasEmptyFollowers := false j := 0 for ; j