- Target 结构新增 VirtualHashes 字段存储预计算哈希 - 新增 PrecomputeHashes 方法在初始化时计算虚拟节点哈希 - SelectExcludingByKey 使用预计算哈希避免运行时重复计算 - 新增 SelectExcludingByKey 测试和基准测试 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
297 lines
6.7 KiB
Go
297 lines
6.7 KiB
Go
// Package loadbalance 提供负载均衡算法的基准测试。
|
|
package loadbalance
|
|
|
|
import (
|
|
"fmt"
|
|
"sync/atomic"
|
|
"testing"
|
|
)
|
|
|
|
// generateTargets 生成指定数量的健康目标用于基准测试。
|
|
func generateTargets(count int) []*Target {
|
|
targets := make([]*Target, count)
|
|
for i := 0; i < count; i++ {
|
|
targets[i] = &Target{
|
|
URL: fmt.Sprintf("http://backend%d:8080", i),
|
|
Weight: 1,
|
|
}
|
|
targets[i].Healthy.Store(true)
|
|
}
|
|
return targets
|
|
}
|
|
|
|
// generateWeightedTargets 生成带权重的目标用于基准测试。
|
|
func generateWeightedTargets(count int, weights []int) []*Target {
|
|
targets := make([]*Target, count)
|
|
for i := 0; i < count; i++ {
|
|
weight := 1
|
|
if i < len(weights) {
|
|
weight = weights[i]
|
|
}
|
|
targets[i] = &Target{
|
|
URL: fmt.Sprintf("http://backend%d:8080", i),
|
|
Weight: weight,
|
|
}
|
|
targets[i].Healthy.Store(true)
|
|
}
|
|
return targets
|
|
}
|
|
|
|
// BenchmarkRoundRobinSelect 基准测试轮询算法。
|
|
func BenchmarkRoundRobinSelect(b *testing.B) {
|
|
testCases := []struct {
|
|
name string
|
|
targets int
|
|
}{
|
|
{"3targets", 3},
|
|
{"50targets", 50},
|
|
{"200targets", 200},
|
|
}
|
|
|
|
for _, tc := range testCases {
|
|
b.Run(tc.name, func(b *testing.B) {
|
|
targets := generateTargets(tc.targets)
|
|
rr := NewRoundRobin()
|
|
|
|
b.ResetTimer()
|
|
b.RunParallel(func(pb *testing.PB) {
|
|
for pb.Next() {
|
|
rr.Select(targets)
|
|
}
|
|
})
|
|
})
|
|
}
|
|
}
|
|
|
|
// BenchmarkWeightedRoundRobin 基准测试加权轮询算法。
|
|
func BenchmarkWeightedRoundRobin(b *testing.B) {
|
|
testCases := []struct {
|
|
name string
|
|
targets int
|
|
weights []int
|
|
}{
|
|
{"3targets_equal", 3, []int{1, 1, 1}},
|
|
{"3targets_weighted", 3, []int{1, 5, 10}},
|
|
{"50targets_equal", 50, nil},
|
|
{"50targets_weighted", 50, []int{1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5}},
|
|
{"200targets_equal", 200, nil},
|
|
}
|
|
|
|
for _, tc := range testCases {
|
|
b.Run(tc.name, func(b *testing.B) {
|
|
targets := generateWeightedTargets(tc.targets, tc.weights)
|
|
wrr := NewWeightedRoundRobin()
|
|
|
|
b.ResetTimer()
|
|
b.RunParallel(func(pb *testing.PB) {
|
|
for pb.Next() {
|
|
wrr.Select(targets)
|
|
}
|
|
})
|
|
})
|
|
}
|
|
}
|
|
|
|
// BenchmarkConsistentHashSelect 基准测试一致性哈希算法。
|
|
func BenchmarkConsistentHashSelect(b *testing.B) {
|
|
testCases := []struct {
|
|
name string
|
|
targets int
|
|
virtualNodes int
|
|
}{
|
|
{"10targets_50vnodes", 10, 50},
|
|
{"10targets_150vnodes", 10, 150},
|
|
{"10targets_200vnodes", 10, 200},
|
|
{"50targets_150vnodes", 50, 150},
|
|
{"100targets_150vnodes", 100, 150},
|
|
}
|
|
|
|
for _, tc := range testCases {
|
|
b.Run(tc.name, func(b *testing.B) {
|
|
targets := generateTargets(tc.targets)
|
|
ch := NewConsistentHash(tc.virtualNodes, "ip")
|
|
ch.Rebuild(targets)
|
|
|
|
keys := make([]string, 100)
|
|
for i := 0; i < 100; i++ {
|
|
keys[i] = fmt.Sprintf("192.168.1.%d", i)
|
|
}
|
|
|
|
b.ResetTimer()
|
|
b.RunParallel(func(pb *testing.PB) {
|
|
i := uint64(0)
|
|
for pb.Next() {
|
|
keyIdx := atomic.AddUint64(&i, 1) % uint64(len(keys))
|
|
ch.SelectByKey(targets, keys[keyIdx])
|
|
}
|
|
})
|
|
})
|
|
}
|
|
}
|
|
|
|
// BenchmarkConsistentHashRebuild 基准测试一致性哈希环重建性能。
|
|
func BenchmarkConsistentHashRebuild(b *testing.B) {
|
|
testCases := []struct {
|
|
name string
|
|
targets int
|
|
virtualNodes int
|
|
}{
|
|
{"10targets_150vnodes", 10, 150},
|
|
{"50targets_150vnodes", 50, 150},
|
|
{"100targets_150vnodes", 100, 150},
|
|
}
|
|
|
|
for _, tc := range testCases {
|
|
b.Run(tc.name, func(b *testing.B) {
|
|
targets := generateTargets(tc.targets)
|
|
ch := NewConsistentHash(tc.virtualNodes, "ip")
|
|
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
ch.Rebuild(targets)
|
|
}
|
|
})
|
|
}
|
|
}
|
|
|
|
// BenchmarkConsistentHashSelectExcluding 基准测试一致性哈希排除选择算法。
|
|
func BenchmarkConsistentHashSelectExcluding(b *testing.B) {
|
|
testCases := []struct {
|
|
name string
|
|
targets int
|
|
virtualNodes int
|
|
excludeCount int
|
|
}{
|
|
{"50targets_150vnodes_exclude5", 50, 150, 5},
|
|
{"50targets_150vnodes_exclude10", 50, 150, 10},
|
|
{"100targets_150vnodes_exclude5", 100, 150, 5},
|
|
}
|
|
|
|
for _, tc := range testCases {
|
|
b.Run(tc.name, func(b *testing.B) {
|
|
targets := generateTargets(tc.targets)
|
|
ch := NewConsistentHash(tc.virtualNodes, "ip")
|
|
|
|
// 预计算所有目标的虚拟节点哈希
|
|
ch.PrecomputeHashes(targets, tc.virtualNodes)
|
|
ch.Rebuild(targets)
|
|
|
|
excluded := targets[:tc.excludeCount]
|
|
key := "test-request-key"
|
|
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
ch.SelectExcludingByKey(targets, excluded, key)
|
|
}
|
|
})
|
|
}
|
|
}
|
|
func BenchmarkLeastConnSelect(b *testing.B) {
|
|
testCases := []struct {
|
|
name string
|
|
targets int
|
|
}{
|
|
{"3targets", 3},
|
|
{"50targets", 50},
|
|
{"200targets", 200},
|
|
}
|
|
|
|
for _, tc := range testCases {
|
|
b.Run(tc.name, func(b *testing.B) {
|
|
targets := generateTargets(tc.targets)
|
|
// 设置不同的连接数以模拟真实场景
|
|
for i, t := range targets {
|
|
t.Connections = int64(i * 10)
|
|
}
|
|
lc := NewLeastConnections()
|
|
|
|
b.ResetTimer()
|
|
b.RunParallel(func(pb *testing.PB) {
|
|
for pb.Next() {
|
|
lc.Select(targets)
|
|
}
|
|
})
|
|
})
|
|
}
|
|
}
|
|
|
|
// BenchmarkIPHashSelect 基准测试 IP 哈希算法。
|
|
func BenchmarkIPHashSelect(b *testing.B) {
|
|
testCases := []struct {
|
|
name string
|
|
targets int
|
|
}{
|
|
{"3targets", 3},
|
|
{"50targets", 50},
|
|
{"200targets", 200},
|
|
}
|
|
|
|
for _, tc := range testCases {
|
|
b.Run(tc.name, func(b *testing.B) {
|
|
targets := generateTargets(tc.targets)
|
|
iph := NewIPHash()
|
|
|
|
ips := make([]string, 100)
|
|
for i := 0; i < 100; i++ {
|
|
ips[i] = fmt.Sprintf("192.168.1.%d", i)
|
|
}
|
|
|
|
b.ResetTimer()
|
|
b.RunParallel(func(pb *testing.PB) {
|
|
i := uint64(0)
|
|
for pb.Next() {
|
|
ipIdx := atomic.AddUint64(&i, 1) % uint64(len(ips))
|
|
iph.SelectByIP(targets, ips[ipIdx])
|
|
}
|
|
})
|
|
})
|
|
}
|
|
}
|
|
|
|
// BenchmarkAllBalancers 对比所有负载均衡算法的性能。
|
|
func BenchmarkAllBalancers(b *testing.B) {
|
|
targets := generateTargets(50)
|
|
weightedTargets := generateWeightedTargets(50, nil)
|
|
|
|
b.Run("RoundRobin", func(b *testing.B) {
|
|
rr := NewRoundRobin()
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
rr.Select(targets)
|
|
}
|
|
})
|
|
|
|
b.Run("WeightedRoundRobin", func(b *testing.B) {
|
|
wrr := NewWeightedRoundRobin()
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
wrr.Select(weightedTargets)
|
|
}
|
|
})
|
|
|
|
b.Run("LeastConnections", func(b *testing.B) {
|
|
lc := NewLeastConnections()
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
lc.Select(targets)
|
|
}
|
|
})
|
|
|
|
b.Run("IPHash", func(b *testing.B) {
|
|
iph := NewIPHash()
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
iph.SelectByIP(targets, "192.168.1.100")
|
|
}
|
|
})
|
|
|
|
b.Run("ConsistentHash", func(b *testing.B) {
|
|
ch := NewConsistentHash(150, "ip")
|
|
ch.Rebuild(targets)
|
|
b.ResetTimer()
|
|
for i := 0; i < b.N; i++ {
|
|
ch.SelectByKey(targets, "192.168.1.100")
|
|
}
|
|
})
|
|
}
|