188 lines
5.1 KiB
Go
188 lines
5.1 KiB
Go
package kafka
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import "sort"
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// GroupMember describes a single participant in a consumer group.
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type GroupMember struct {
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// ID is the unique ID for this member as taken from the JoinGroup response.
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ID string
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// Topics is a list of topics that this member is consuming.
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Topics []string
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// UserData contains any information that the GroupBalancer sent to the
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// consumer group coordinator.
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UserData []byte
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}
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// GroupMemberAssignments holds MemberID => topic => partitions
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type GroupMemberAssignments map[string]map[string][]int
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// GroupBalancer encapsulates the client side rebalancing logic
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type GroupBalancer interface {
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// ProtocolName of the GroupBalancer
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ProtocolName() string
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// UserData provides the GroupBalancer an opportunity to embed custom
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// UserData into the metadata.
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//
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// Will be used by JoinGroup to begin the consumer group handshake.
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//
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// See https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol#AGuideToTheKafkaProtocol-JoinGroupRequest
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UserData() ([]byte, error)
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// DefineMemberships returns which members will be consuming
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// which topic partitions
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AssignGroups(members []GroupMember, partitions []Partition) GroupMemberAssignments
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}
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// RangeGroupBalancer groups consumers by partition
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//
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// Example: 5 partitions, 2 consumers
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// C0: [0, 1, 2]
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// C1: [3, 4]
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//
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// Example: 6 partitions, 3 consumers
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// C0: [0, 1]
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// C1: [2, 3]
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// C2: [4, 5]
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//
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type RangeGroupBalancer struct{}
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func (r RangeGroupBalancer) ProtocolName() string {
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return "range"
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}
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func (r RangeGroupBalancer) UserData() ([]byte, error) {
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return nil, nil
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}
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func (r RangeGroupBalancer) AssignGroups(members []GroupMember, topicPartitions []Partition) GroupMemberAssignments {
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groupAssignments := GroupMemberAssignments{}
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membersByTopic := findMembersByTopic(members)
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for topic, members := range membersByTopic {
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partitions := findPartitions(topic, topicPartitions)
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partitionCount := len(partitions)
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memberCount := len(members)
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for memberIndex, member := range members {
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assignmentsByTopic, ok := groupAssignments[member.ID]
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if !ok {
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assignmentsByTopic = map[string][]int{}
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groupAssignments[member.ID] = assignmentsByTopic
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}
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minIndex := memberIndex * partitionCount / memberCount
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maxIndex := (memberIndex + 1) * partitionCount / memberCount
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for partitionIndex, partition := range partitions {
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if partitionIndex >= minIndex && partitionIndex < maxIndex {
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assignmentsByTopic[topic] = append(assignmentsByTopic[topic], partition)
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}
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}
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}
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}
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return groupAssignments
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}
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// RoundrobinGroupBalancer divides partitions evenly among consumers
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//
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// Example: 5 partitions, 2 consumers
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// C0: [0, 2, 4]
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// C1: [1, 3]
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//
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// Example: 6 partitions, 3 consumers
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// C0: [0, 3]
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// C1: [1, 4]
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// C2: [2, 5]
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//
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type RoundRobinGroupBalancer struct{}
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func (r RoundRobinGroupBalancer) ProtocolName() string {
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return "roundrobin"
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}
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func (r RoundRobinGroupBalancer) UserData() ([]byte, error) {
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return nil, nil
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}
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func (r RoundRobinGroupBalancer) AssignGroups(members []GroupMember, topicPartitions []Partition) GroupMemberAssignments {
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groupAssignments := GroupMemberAssignments{}
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membersByTopic := findMembersByTopic(members)
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for topic, members := range membersByTopic {
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partitionIDs := findPartitions(topic, topicPartitions)
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memberCount := len(members)
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for memberIndex, member := range members {
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assignmentsByTopic, ok := groupAssignments[member.ID]
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if !ok {
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assignmentsByTopic = map[string][]int{}
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groupAssignments[member.ID] = assignmentsByTopic
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}
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for partitionIndex, partition := range partitionIDs {
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if (partitionIndex % memberCount) == memberIndex {
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assignmentsByTopic[topic] = append(assignmentsByTopic[topic], partition)
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}
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}
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}
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}
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return groupAssignments
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}
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// findPartitions extracts the partition ids associated with the topic from the
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// list of Partitions provided
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func findPartitions(topic string, partitions []Partition) []int {
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var ids []int
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for _, partition := range partitions {
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if partition.Topic == topic {
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ids = append(ids, partition.ID)
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}
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}
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return ids
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}
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// findMembersByTopic groups the memberGroupMetadata by topic
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func findMembersByTopic(members []GroupMember) map[string][]GroupMember {
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membersByTopic := map[string][]GroupMember{}
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for _, member := range members {
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for _, topic := range member.Topics {
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membersByTopic[topic] = append(membersByTopic[topic], member)
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}
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}
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// normalize ordering of members to enabling grouping across topics by partitions
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//
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// Want:
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// C0 [T0/P0, T1/P0]
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// C1 [T0/P1, T1/P1]
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//
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// Not:
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// C0 [T0/P0, T1/P1]
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// C1 [T0/P1, T1/P0]
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//
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// Even though the later is still round robin, the partitions are crossed
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//
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for _, members := range membersByTopic {
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sort.Slice(members, func(i, j int) bool {
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return members[i].ID < members[j].ID
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})
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}
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return membersByTopic
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}
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// findGroupBalancer returns the GroupBalancer with the specified protocolName
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// from the slice provided
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func findGroupBalancer(protocolName string, balancers []GroupBalancer) (GroupBalancer, bool) {
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for _, balancer := range balancers {
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if balancer.ProtocolName() == protocolName {
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return balancer, true
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}
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}
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return nil, false
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}
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