2023-12-12 04:05:54 +08:00
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package pub_balancer
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2023-09-19 09:47:34 +08:00
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import (
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cmap "github.com/orcaman/concurrent-map/v2"
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2023-12-12 04:05:54 +08:00
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"github.com/seaweedfs/seaweedfs/weed/glog"
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2023-09-19 09:47:34 +08:00
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"github.com/seaweedfs/seaweedfs/weed/pb/mq_pb"
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2023-09-25 06:08:44 +08:00
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"math/rand"
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2024-01-11 14:36:17 +08:00
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"time"
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2023-09-19 09:47:34 +08:00
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)
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2024-01-17 00:40:23 +08:00
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func AllocateTopicPartitions(brokers cmap.ConcurrentMap[string, *BrokerStats], partitionCount int32) (assignments []*mq_pb.BrokerPartitionAssignment) {
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2023-09-25 06:08:44 +08:00
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// divide the ring into partitions
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2024-01-11 14:36:17 +08:00
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now := time.Now().UnixNano()
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2023-09-25 06:08:44 +08:00
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rangeSize := MaxPartitionCount / partitionCount
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2023-09-25 12:19:51 +08:00
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for i := int32(0); i < partitionCount; i++ {
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2023-09-25 06:08:44 +08:00
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assignment := &mq_pb.BrokerPartitionAssignment{
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Partition: &mq_pb.Partition{
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RingSize: MaxPartitionCount,
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2023-09-25 06:08:44 +08:00
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RangeStart: int32(i * rangeSize),
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RangeStop: int32((i + 1) * rangeSize),
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UnixTimeNs: now,
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},
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2023-09-25 06:08:44 +08:00
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}
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if i == partitionCount-1 {
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assignment.Partition.RangeStop = MaxPartitionCount
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}
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assignments = append(assignments, assignment)
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2023-09-19 09:47:34 +08:00
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}
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2023-09-25 06:08:44 +08:00
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// pick the brokers
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pickedBrokers := pickBrokers(brokers, partitionCount)
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// assign the partitions to brokers
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for i, assignment := range assignments {
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assignment.LeaderBroker = pickedBrokers[i]
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}
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2023-12-12 04:05:54 +08:00
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glog.V(0).Infof("allocate topic partitions %d: %v", len(assignments), assignments)
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2023-09-25 06:08:44 +08:00
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return
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}
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2024-03-01 06:51:06 +08:00
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// randomly pick n brokers, which may contain duplicates
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2023-09-25 06:08:44 +08:00
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// TODO pick brokers based on the broker stats
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2023-09-25 12:19:51 +08:00
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func pickBrokers(brokers cmap.ConcurrentMap[string, *BrokerStats], count int32) []string {
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2023-09-25 06:08:44 +08:00
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candidates := make([]string, 0, brokers.Count())
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for brokerStatsItem := range brokers.IterBuffered() {
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candidates = append(candidates, brokerStatsItem.Key)
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}
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pickedBrokers := make([]string, 0, count)
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for i := int32(0); i < count; i++ {
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p := rand.Intn(len(candidates))
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pickedBrokers = append(pickedBrokers, candidates[p])
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}
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return pickedBrokers
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2023-09-19 09:47:34 +08:00
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}
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2024-01-21 17:27:22 +08:00
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2024-03-01 06:51:06 +08:00
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// reservoir sampling select N brokers from the active brokers, with exclusion of the excluded brokers
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func pickBrokersExcluded(brokers []string, count int, excludedLeadBroker string, excludedBrokers []string) []string {
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// convert the excluded brokers to a map
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excludedBrokerMap := make(map[string]bool)
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for _, broker := range excludedBrokers {
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excludedBrokerMap[broker] = true
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}
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if excludedLeadBroker != "" {
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excludedBrokerMap[excludedLeadBroker] = true
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}
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pickedBrokers := make([]string, 0, count)
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for i, broker := range brokers {
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if _, found := excludedBrokerMap[broker]; found {
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continue
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}
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if len(pickedBrokers) < count {
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pickedBrokers = append(pickedBrokers, broker)
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} else {
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j := rand.Intn(i + 1)
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if j < count {
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pickedBrokers[j] = broker
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}
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2024-01-21 17:27:22 +08:00
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}
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}
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2024-03-01 06:51:06 +08:00
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// shuffle the picked brokers
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count = len(pickedBrokers)
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for i := 0; i < count; i++ {
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j := rand.Intn(count)
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pickedBrokers[i], pickedBrokers[j] = pickedBrokers[j], pickedBrokers[i]
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}
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return pickedBrokers
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}
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2024-03-01 12:50:57 +08:00
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// EnsureAssignmentsToActiveBrokers ensures the assignments are assigned to active brokers
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2024-03-01 06:51:06 +08:00
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func EnsureAssignmentsToActiveBrokers(activeBrokers cmap.ConcurrentMap[string, *BrokerStats], followerCount int, assignments []*mq_pb.BrokerPartitionAssignment) (hasChanges bool) {
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candidates := make([]string, 0, activeBrokers.Count())
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for brokerStatsItem := range activeBrokers.IterBuffered() {
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candidates = append(candidates, brokerStatsItem.Key)
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2024-01-21 17:27:22 +08:00
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}
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2024-03-01 06:51:06 +08:00
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for _, assignment := range assignments {
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// count how many brokers are needed
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count := 0
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if assignment.LeaderBroker == "" {
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count++
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} else if _, found := activeBrokers.Get(assignment.LeaderBroker); !found {
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assignment.LeaderBroker = ""
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count++
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}
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for i:=0; i<followerCount; i++ {
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if i >= len(assignment.FollowerBrokers) {
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count++
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continue
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}
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if assignment.FollowerBrokers[i] == "" {
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count++
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} else if _, found := activeBrokers.Get(assignment.FollowerBrokers[i]); !found {
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assignment.FollowerBrokers[i] = ""
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count++
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}
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2024-02-05 05:38:00 +08:00
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}
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2024-03-01 06:51:06 +08:00
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if count > 0 {
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pickedBrokers := pickBrokersExcluded(candidates, count, assignment.LeaderBroker, assignment.FollowerBrokers)
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i := 0
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if assignment.LeaderBroker == "" {
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assignment.LeaderBroker = pickedBrokers[i]
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i++
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hasChanges = true
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}
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j := 0
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for ; j<len(assignment.FollowerBrokers); j++ {
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if assignment.FollowerBrokers[j] == "" {
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assignment.FollowerBrokers[j] = pickedBrokers[i]
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i++
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hasChanges = true
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2024-03-01 06:51:06 +08:00
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}
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}
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if i < len(pickedBrokers) {
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assignment.FollowerBrokers = append(assignment.FollowerBrokers, pickedBrokers[i:]...)
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2024-03-01 12:50:57 +08:00
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hasChanges = true
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2024-03-01 06:51:06 +08:00
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}
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}
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2024-01-23 03:04:24 +08:00
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}
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return
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2024-01-21 17:27:22 +08:00
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}
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