VOL-1558 Implementation of openolt adapter with dep for dependency management
Also updated the build system to take this into account.
Currently dep ensure fails due to missing libraries in voltha-go, but the vendor folder has been updated otherwise.
This can be worked around in development using the LOCAL_VOLTHAGO variable described in the readme
This does not build currrently, but that is due to missing code in voltha-go master.
This pattern is consistent with how voltha-go does things, but does not leave you dependent on it to build.
See the readme for how to use dep.
The resourcemanager file is no longer hidden.
Change-Id: I25b8472dbc517b193970597c9f43ddff18c2d89f
diff --git a/vendor/gopkg.in/Shopify/sarama.v1/balance_strategy.go b/vendor/gopkg.in/Shopify/sarama.v1/balance_strategy.go
new file mode 100644
index 0000000..e78988d
--- /dev/null
+++ b/vendor/gopkg.in/Shopify/sarama.v1/balance_strategy.go
@@ -0,0 +1,129 @@
+package sarama
+
+import (
+ "math"
+ "sort"
+)
+
+// BalanceStrategyPlan is the results of any BalanceStrategy.Plan attempt.
+// It contains an allocation of topic/partitions by memberID in the form of
+// a `memberID -> topic -> partitions` map.
+type BalanceStrategyPlan map[string]map[string][]int32
+
+// Add assigns a topic with a number partitions to a member.
+func (p BalanceStrategyPlan) Add(memberID, topic string, partitions ...int32) {
+ if len(partitions) == 0 {
+ return
+ }
+ if _, ok := p[memberID]; !ok {
+ p[memberID] = make(map[string][]int32, 1)
+ }
+ p[memberID][topic] = append(p[memberID][topic], partitions...)
+}
+
+// --------------------------------------------------------------------
+
+// BalanceStrategy is used to balance topics and partitions
+// across memebers of a consumer group
+type BalanceStrategy interface {
+ // Name uniquely identifies the strategy.
+ Name() string
+
+ // Plan accepts a map of `memberID -> metadata` and a map of `topic -> partitions`
+ // and returns a distribution plan.
+ Plan(members map[string]ConsumerGroupMemberMetadata, topics map[string][]int32) (BalanceStrategyPlan, error)
+}
+
+// --------------------------------------------------------------------
+
+// BalanceStrategyRange is the default and assigns partitions as ranges to consumer group members.
+// Example with one topic T with six partitions (0..5) and two members (M1, M2):
+// M1: {T: [0, 1, 2]}
+// M2: {T: [3, 4, 5]}
+var BalanceStrategyRange = &balanceStrategy{
+ name: "range",
+ coreFn: func(plan BalanceStrategyPlan, memberIDs []string, topic string, partitions []int32) {
+ step := float64(len(partitions)) / float64(len(memberIDs))
+
+ for i, memberID := range memberIDs {
+ pos := float64(i)
+ min := int(math.Floor(pos*step + 0.5))
+ max := int(math.Floor((pos+1)*step + 0.5))
+ plan.Add(memberID, topic, partitions[min:max]...)
+ }
+ },
+}
+
+// BalanceStrategyRoundRobin assigns partitions to members in alternating order.
+// Example with topic T with six partitions (0..5) and two members (M1, M2):
+// M1: {T: [0, 2, 4]}
+// M2: {T: [1, 3, 5]}
+var BalanceStrategyRoundRobin = &balanceStrategy{
+ name: "roundrobin",
+ coreFn: func(plan BalanceStrategyPlan, memberIDs []string, topic string, partitions []int32) {
+ for i, part := range partitions {
+ memberID := memberIDs[i%len(memberIDs)]
+ plan.Add(memberID, topic, part)
+ }
+ },
+}
+
+// --------------------------------------------------------------------
+
+type balanceStrategy struct {
+ name string
+ coreFn func(plan BalanceStrategyPlan, memberIDs []string, topic string, partitions []int32)
+}
+
+// Name implements BalanceStrategy.
+func (s *balanceStrategy) Name() string { return s.name }
+
+// Balance implements BalanceStrategy.
+func (s *balanceStrategy) Plan(members map[string]ConsumerGroupMemberMetadata, topics map[string][]int32) (BalanceStrategyPlan, error) {
+ // Build members by topic map
+ mbt := make(map[string][]string)
+ for memberID, meta := range members {
+ for _, topic := range meta.Topics {
+ mbt[topic] = append(mbt[topic], memberID)
+ }
+ }
+
+ // Sort members for each topic
+ for topic, memberIDs := range mbt {
+ sort.Sort(&balanceStrategySortable{
+ topic: topic,
+ memberIDs: memberIDs,
+ })
+ }
+
+ // Assemble plan
+ plan := make(BalanceStrategyPlan, len(members))
+ for topic, memberIDs := range mbt {
+ s.coreFn(plan, memberIDs, topic, topics[topic])
+ }
+ return plan, nil
+}
+
+type balanceStrategySortable struct {
+ topic string
+ memberIDs []string
+}
+
+func (p balanceStrategySortable) Len() int { return len(p.memberIDs) }
+func (p balanceStrategySortable) Swap(i, j int) {
+ p.memberIDs[i], p.memberIDs[j] = p.memberIDs[j], p.memberIDs[i]
+}
+func (p balanceStrategySortable) Less(i, j int) bool {
+ return balanceStrategyHashValue(p.topic, p.memberIDs[i]) < balanceStrategyHashValue(p.topic, p.memberIDs[j])
+}
+
+func balanceStrategyHashValue(vv ...string) uint32 {
+ h := uint32(2166136261)
+ for _, s := range vv {
+ for _, c := range s {
+ h ^= uint32(c)
+ h *= 16777619
+ }
+ }
+ return h
+}