enhance: Optimize workload based replica selection policy (#36181)

issue: #35859

This PR introduce two new param: toleranceFactor and checkRequestNum,
after every checkRequestNum request has been assigned, try to compute
querynode's workload score.

if the diff is less than the toleranceFactor, replica selection policy
will fallback to round_robin, which reduce the average cost to about
500ns.

if the diff is larger than the toleranceFactor, replica selection policy
will compute querynode's score to select the target node with smallest
score in every assigment.

---------

Signed-off-by: Wei Liu <wei.liu@zilliz.com>
This commit is contained in:
wei liu 2024-09-20 12:33:11 +08:00 committed by GitHub
parent 363004fd44
commit 3b10085f61
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
4 changed files with 268 additions and 148 deletions

View File

@ -19,8 +19,6 @@ package proxy
import (
"context"
"math"
"math/rand"
"strconv"
"sync"
"time"
@ -31,46 +29,50 @@ import (
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/metrics"
"github.com/milvus-io/milvus/pkg/util/conc"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvus/pkg/util/paramtable"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
type CostMetrics struct {
cost atomic.Pointer[internalpb.CostAggregation]
executingNQ atomic.Int64
ts atomic.Int64
unavailable atomic.Bool
}
type LookAsideBalancer struct {
clientMgr shardClientMgr
// query node -> workload latest metrics
metricsMap *typeutil.ConcurrentMap[int64, *internalpb.CostAggregation]
// query node -> last update metrics ts
metricsUpdateTs *typeutil.ConcurrentMap[int64, int64]
// query node -> total nq of requests which already send but response hasn't received
executingTaskTotalNQ *typeutil.ConcurrentMap[int64, *atomic.Int64]
unreachableQueryNodes *typeutil.ConcurrentSet[int64]
metricsMap *typeutil.ConcurrentMap[int64, *CostMetrics]
// query node id -> number of consecutive heartbeat failures
failedHeartBeatCounter *typeutil.ConcurrentMap[int64, *atomic.Int64]
// idx for round_robin
idx atomic.Int64
closeCh chan struct{}
closeOnce sync.Once
wg sync.WaitGroup
// param for replica selection
metricExpireInterval int64
checkWorkloadRequestNum int64
workloadToleranceFactor float64
}
func NewLookAsideBalancer(clientMgr shardClientMgr) *LookAsideBalancer {
balancer := &LookAsideBalancer{
clientMgr: clientMgr,
metricsMap: typeutil.NewConcurrentMap[int64, *internalpb.CostAggregation](),
metricsUpdateTs: typeutil.NewConcurrentMap[int64, int64](),
executingTaskTotalNQ: typeutil.NewConcurrentMap[int64, *atomic.Int64](),
unreachableQueryNodes: typeutil.NewConcurrentSet[int64](),
metricsMap: typeutil.NewConcurrentMap[int64, *CostMetrics](),
failedHeartBeatCounter: typeutil.NewConcurrentMap[int64, *atomic.Int64](),
closeCh: make(chan struct{}),
}
balancer.metricExpireInterval = Params.ProxyCfg.CostMetricsExpireTime.GetAsInt64()
balancer.checkWorkloadRequestNum = Params.ProxyCfg.CheckWorkloadRequestNum.GetAsInt64()
balancer.workloadToleranceFactor = Params.ProxyCfg.WorkloadToleranceFactor.GetAsFloat()
return balancer
}
@ -86,54 +88,82 @@ func (b *LookAsideBalancer) Close() {
})
}
func (b *LookAsideBalancer) SelectNode(ctx context.Context, availableNodes []int64, cost int64) (int64, error) {
log := log.Ctx(ctx).WithRateGroup("proxy.LookAsideBalancer", 1, 60)
func (b *LookAsideBalancer) SelectNode(ctx context.Context, availableNodes []int64, nq int64) (int64, error) {
targetNode := int64(-1)
targetScore := float64(math.MaxFloat64)
rand.Shuffle(len(availableNodes), func(i, j int) {
availableNodes[i], availableNodes[j] = availableNodes[j], availableNodes[i]
})
for _, node := range availableNodes {
if b.unreachableQueryNodes.Contain(node) {
log.RatedWarn(5, "query node is unreachable, skip it",
zap.Int64("nodeID", node))
continue
defer func() {
if targetNode != -1 {
metrics, _ := b.metricsMap.GetOrInsert(targetNode, &CostMetrics{})
metrics.executingNQ.Add(nq)
}
}()
// after assign n request, try to assign the task to a query node which has much less workload
idx := b.idx.Load()
if idx%b.checkWorkloadRequestNum != 0 {
for i := 0; i < len(availableNodes); i++ {
targetNode = availableNodes[int(idx)%len(availableNodes)]
targetMetrics, ok := b.metricsMap.Get(targetNode)
if !ok || !targetMetrics.unavailable.Load() {
break
}
}
cost, _ := b.metricsMap.Get(node)
executingNQ, ok := b.executingTaskTotalNQ.Get(node)
if !ok {
executingNQ = atomic.NewInt64(0)
b.executingTaskTotalNQ.Insert(node, executingNQ)
if targetNode == -1 {
return targetNode, merr.WrapErrServiceUnavailable("all available nodes are unreachable")
}
score := b.calculateScore(node, cost, executingNQ.Load())
metrics.ProxyWorkLoadScore.WithLabelValues(strconv.FormatInt(node, 10)).Set(score)
b.idx.Inc()
return targetNode, nil
}
if targetNode == -1 || score < targetScore {
targetScore = score
// compute each query node's workload score, select the one with least workload score
minScore := int64(math.MaxInt64)
maxScore := int64(0)
nowTs := time.Now().UnixMilli()
for i := 0; i < len(availableNodes); i++ {
node := availableNodes[(int(idx)+i)%len(availableNodes)]
score := int64(0)
metrics, ok := b.metricsMap.Get(node)
if ok {
if metrics.unavailable.Load() {
continue
}
executingNQ := metrics.executingNQ.Load()
// for multi-replica cases, when there are no task which waiting in queue,
// the response time will effect the score, to prevent the score based on a too old metrics
// we expire the cost metrics if no task in queue.
if executingNQ != 0 || nowTs-metrics.ts.Load() <= b.metricExpireInterval {
score = b.calculateScore(node, metrics.cost.Load(), executingNQ)
}
}
if score < minScore || targetNode == -1 {
minScore = score
targetNode = node
}
if score > maxScore {
maxScore = score
}
}
if float64(maxScore-minScore)/float64(minScore) <= b.workloadToleranceFactor {
// if all query node has nearly same workload, just fall back to round_robin
b.idx.Inc()
}
if targetNode == -1 {
return -1, merr.WrapErrServiceUnavailable("all available nodes are unreachable")
return targetNode, merr.WrapErrServiceUnavailable("all available nodes are unreachable")
}
// update executing task cost
totalNQ, _ := b.executingTaskTotalNQ.Get(targetNode)
nq := totalNQ.Add(cost)
metrics.ProxyExecutingTotalNq.WithLabelValues(strconv.FormatInt(paramtable.GetNodeID(), 10)).Set(float64(nq))
return targetNode, nil
}
// when task canceled, should reduce executing total nq cost
func (b *LookAsideBalancer) CancelWorkload(node int64, nq int64) {
totalNQ, ok := b.executingTaskTotalNQ.Get(node)
metrics, ok := b.metricsMap.Get(node)
if ok {
nq := totalNQ.Sub(nq)
metrics.ProxyExecutingTotalNq.WithLabelValues(strconv.FormatInt(paramtable.GetNodeID(), 10)).Set(float64(nq))
metrics.executingNQ.Sub(nq)
}
}
@ -141,29 +171,29 @@ func (b *LookAsideBalancer) CancelWorkload(node int64, nq int64) {
func (b *LookAsideBalancer) UpdateCostMetrics(node int64, cost *internalpb.CostAggregation) {
// cache the latest query node cost metrics for updating the score
if cost != nil {
b.metricsMap.Insert(node, cost)
metrics, ok := b.metricsMap.Get(node)
if !ok {
metrics = &CostMetrics{}
b.metricsMap.Insert(node, metrics)
}
metrics.cost.Store(cost)
metrics.ts.Store(time.Now().UnixMilli())
metrics.unavailable.CompareAndSwap(true, false)
}
b.metricsUpdateTs.Insert(node, time.Now().UnixMilli())
// one query/search succeed, we regard heartbeat succeed, clear heartbeat failed counter
b.trySetQueryNodeReachable(node)
}
// calculateScore compute the query node's workload score
// https://www.usenix.org/conference/nsdi15/technical-sessions/presentation/suresh
func (b *LookAsideBalancer) calculateScore(node int64, cost *internalpb.CostAggregation, executingNQ int64) float64 {
func (b *LookAsideBalancer) calculateScore(node int64, cost *internalpb.CostAggregation, executingNQ int64) int64 {
pow3 := func(n int64) int64 {
return n * n * n
}
if cost == nil || cost.GetResponseTime() == 0 {
return math.Pow(float64(executingNQ), 3.0)
return pow3(executingNQ)
}
// for multi-replica cases, when there are no task which waiting in queue,
// the response time will effect the score, to prevent the score based on a too old value
// we expire the cost metrics by second if no task in queue.
if executingNQ == 0 && b.isNodeCostMetricsTooOld(node) {
return 0
}
executeSpeed := float64(cost.ResponseTime) - float64(cost.ServiceTime)
executeSpeed := cost.ResponseTime - cost.ServiceTime
if executingNQ < 0 {
log.Warn("unexpected executing nq value",
zap.Int64("executingNQ", executingNQ))
@ -176,30 +206,21 @@ func (b *LookAsideBalancer) calculateScore(node int64, cost *internalpb.CostAggr
return executeSpeed
}
workload := math.Pow(float64(1+cost.GetTotalNQ()+executingNQ), 3.0) * float64(cost.ServiceTime)
// workload := math.Pow(float64(1+cost.GetTotalNQ()+executingNQ), 3.0) * float64(cost.ServiceTime)
workload := pow3(1+cost.GetTotalNQ()+executingNQ) * cost.ServiceTime
if workload < 0 {
return math.MaxFloat64
return math.MaxInt64
}
return executeSpeed + workload
}
// if the node cost metrics hasn't been updated for a second, we think the metrics is too old
func (b *LookAsideBalancer) isNodeCostMetricsTooOld(node int64) bool {
lastUpdateTs, ok := b.metricsUpdateTs.Get(node)
if !ok || lastUpdateTs == 0 {
return false
}
return time.Now().UnixMilli()-lastUpdateTs > Params.ProxyCfg.CostMetricsExpireTime.GetAsInt64()
}
func (b *LookAsideBalancer) checkQueryNodeHealthLoop(ctx context.Context) {
log := log.Ctx(ctx).WithRateGroup("proxy.LookAsideBalancer", 1, 60)
defer b.wg.Done()
checkQueryNodeHealthInterval := Params.ProxyCfg.CheckQueryNodeHealthInterval.GetAsDuration(time.Millisecond)
ticker := time.NewTicker(checkQueryNodeHealthInterval)
checkHealthInterval := Params.ProxyCfg.CheckQueryNodeHealthInterval.GetAsDuration(time.Millisecond)
ticker := time.NewTicker(checkHealthInterval)
defer ticker.Stop()
log.Info("Start check query node health loop")
pool := conc.NewDefaultPool[any]()
@ -210,15 +231,19 @@ func (b *LookAsideBalancer) checkQueryNodeHealthLoop(ctx context.Context) {
return
case <-ticker.C:
now := time.Now().UnixMilli()
var futures []*conc.Future[any]
b.metricsUpdateTs.Range(func(node int64, lastUpdateTs int64) bool {
if now-lastUpdateTs > checkQueryNodeHealthInterval.Milliseconds() {
futures = append(futures, pool.Submit(func() (any, error) {
checkInterval := Params.ProxyCfg.HealthCheckTimeout.GetAsDuration(time.Millisecond)
ctx, cancel := context.WithTimeout(context.Background(), checkInterval)
now := time.Now()
b.metricsMap.Range(func(node int64, metrics *CostMetrics) bool {
futures = append(futures, pool.Submit(func() (any, error) {
if now.UnixMilli()-metrics.ts.Load() > checkHealthInterval.Milliseconds() {
checkTimeout := Params.ProxyCfg.HealthCheckTimeout.GetAsDuration(time.Millisecond)
ctx, cancel := context.WithTimeout(context.Background(), checkTimeout)
defer cancel()
if node == -1 {
panic("let it panic")
}
qn, err := b.clientMgr.GetClient(ctx, node)
if err != nil {
// get client from clientMgr failed, which means this qn isn't a shard leader anymore, skip it's health check
@ -228,26 +253,23 @@ func (b *LookAsideBalancer) checkQueryNodeHealthLoop(ctx context.Context) {
resp, err := qn.GetComponentStates(ctx, &milvuspb.GetComponentStatesRequest{})
if err != nil {
if b.trySetQueryNodeUnReachable(node, err) {
log.Warn("get component status failed, set node unreachable", zap.Int64("node", node), zap.Error(err))
}
b.trySetQueryNodeUnReachable(node, err)
log.RatedWarn(10, "get component status failed, set node unreachable", zap.Int64("node", node), zap.Error(err))
return struct{}{}, nil
}
if resp.GetState().GetStateCode() != commonpb.StateCode_Healthy {
if b.trySetQueryNodeUnReachable(node, merr.ErrServiceUnavailable) {
log.Warn("component status unhealthy, set node unreachable", zap.Int64("node", node), zap.Error(err))
}
b.trySetQueryNodeUnReachable(node, merr.ErrServiceUnavailable)
log.RatedWarn(10, "component status unhealthy, set node unreachable", zap.Int64("node", node), zap.Error(err))
return struct{}{}, nil
}
}
// check health successfully, try set query node reachable
b.metricsUpdateTs.Insert(node, time.Now().Local().UnixMilli())
b.trySetQueryNodeReachable(node)
return struct{}{}, nil
}))
}
// check health successfully, try set query node reachable
b.trySetQueryNodeReachable(node)
return struct{}{}, nil
}))
return true
})
@ -256,7 +278,7 @@ func (b *LookAsideBalancer) checkQueryNodeHealthLoop(ctx context.Context) {
}
}
func (b *LookAsideBalancer) trySetQueryNodeUnReachable(node int64, err error) bool {
func (b *LookAsideBalancer) trySetQueryNodeUnReachable(node int64, err error) {
failures, ok := b.failedHeartBeatCounter.Get(node)
if !ok {
failures = atomic.NewInt64(0)
@ -270,8 +292,9 @@ func (b *LookAsideBalancer) trySetQueryNodeUnReachable(node int64, err error) bo
zap.Error(err))
if failures.Load() < Params.ProxyCfg.RetryTimesOnHealthCheck.GetAsInt64() {
return false
return
}
// if the total time of consecutive heartbeat failures reach the session.ttl, remove the offline query node
limit := Params.CommonCfg.SessionTTL.GetAsDuration(time.Second).Seconds() /
Params.ProxyCfg.HealthCheckTimeout.GetAsDuration(time.Millisecond).Seconds()
@ -279,14 +302,14 @@ func (b *LookAsideBalancer) trySetQueryNodeUnReachable(node int64, err error) bo
log.Info("the heartbeat failures has reach it's upper limit, remove the query node",
zap.Int64("nodeID", node))
// stop the heartbeat
b.metricsUpdateTs.GetAndRemove(node)
b.metricsMap.GetAndRemove(node)
b.executingTaskTotalNQ.GetAndRemove(node)
b.unreachableQueryNodes.Remove(node)
return false
b.metricsMap.Remove(node)
return
}
return b.unreachableQueryNodes.Insert(node)
metrics, ok := b.metricsMap.Get(node)
if ok {
metrics.unavailable.Store(true)
}
}
func (b *LookAsideBalancer) trySetQueryNodeReachable(node int64) {
@ -295,7 +318,9 @@ func (b *LookAsideBalancer) trySetQueryNodeReachable(node int64) {
if ok {
failures.Store(0)
}
if b.unreachableQueryNodes.TryRemove(node) {
metrics, ok := b.metricsMap.Get(node)
if !ok || metrics.unavailable.CompareAndSwap(true, false) {
log.Info("component recuperated, set node reachable", zap.Int64("node", node))
}
}

View File

@ -64,9 +64,9 @@ func (suite *LookAsideBalancerSuite) TestUpdateMetrics() {
suite.balancer.UpdateCostMetrics(1, costMetrics)
lastUpdateTs, ok := suite.balancer.metricsUpdateTs.Get(1)
metrics, ok := suite.balancer.metricsMap.Get(1)
suite.True(ok)
suite.True(time.Now().UnixMilli()-lastUpdateTs <= 5)
suite.True(time.Now().UnixMilli()-metrics.ts.Load() <= 5)
}
func (suite *LookAsideBalancerSuite) TestCalculateScore() {
@ -98,19 +98,19 @@ func (suite *LookAsideBalancerSuite) TestCalculateScore() {
score2 := suite.balancer.calculateScore(-1, costMetrics2, 0)
score3 := suite.balancer.calculateScore(-1, costMetrics3, 0)
score4 := suite.balancer.calculateScore(-1, costMetrics4, 0)
suite.Equal(float64(12), score1)
suite.Equal(float64(19), score2)
suite.Equal(float64(17), score3)
suite.Equal(float64(5), score4)
suite.Equal(int64(12), score1)
suite.Equal(int64(19), score2)
suite.Equal(int64(17), score3)
suite.Equal(int64(5), score4)
score5 := suite.balancer.calculateScore(-1, costMetrics1, 5)
score6 := suite.balancer.calculateScore(-1, costMetrics2, 5)
score7 := suite.balancer.calculateScore(-1, costMetrics3, 5)
score8 := suite.balancer.calculateScore(-1, costMetrics4, 5)
suite.Equal(float64(347), score5)
suite.Equal(float64(689), score6)
suite.Equal(float64(352), score7)
suite.Equal(float64(220), score8)
suite.Equal(int64(347), score5)
suite.Equal(int64(689), score6)
suite.Equal(int64(352), score7)
suite.Equal(int64(220), score8)
// test score overflow
costMetrics5 := &internalpb.CostAggregation{
@ -120,15 +120,7 @@ func (suite *LookAsideBalancerSuite) TestCalculateScore() {
}
score9 := suite.balancer.calculateScore(-1, costMetrics5, math.MaxInt64)
suite.Equal(math.MaxFloat64, score9)
// test metrics expire
suite.balancer.metricsUpdateTs.Insert(1, time.Now().UnixMilli())
score10 := suite.balancer.calculateScore(1, costMetrics4, 0)
suite.Equal(float64(5), score10)
suite.balancer.metricsUpdateTs.Insert(1, time.Now().UnixMilli()-5000)
score11 := suite.balancer.calculateScore(1, costMetrics4, 0)
suite.Equal(float64(0), score11)
suite.Equal(int64(math.MaxInt64), score9)
// test unexpected negative nq value
costMetrics6 := &internalpb.CostAggregation{
@ -137,14 +129,14 @@ func (suite *LookAsideBalancerSuite) TestCalculateScore() {
TotalNQ: -1,
}
score12 := suite.balancer.calculateScore(-1, costMetrics6, math.MaxInt64)
suite.Equal(float64(4), score12)
suite.Equal(int64(4), score12)
costMetrics7 := &internalpb.CostAggregation{
ResponseTime: 5,
ServiceTime: 1,
TotalNQ: 1,
}
score13 := suite.balancer.calculateScore(-1, costMetrics7, -1)
suite.Equal(float64(4), score13)
suite.Equal(int64(4), score13)
}
func (suite *LookAsideBalancerSuite) TestSelectNode() {
@ -279,7 +271,8 @@ func (suite *LookAsideBalancerSuite) TestSelectNode() {
}
for node, executingNQ := range c.executingNQ {
suite.balancer.executingTaskTotalNQ.Insert(node, atomic.NewInt64(executingNQ))
metrics, _ := suite.balancer.metricsMap.Get(node)
metrics.executingNQ.Store(executingNQ)
}
counter := make(map[int64]int64)
for i := 0; i < c.requestCount; i++ {
@ -300,25 +293,31 @@ func (suite *LookAsideBalancerSuite) TestCancelWorkload() {
suite.NoError(err)
suite.balancer.CancelWorkload(node, 10)
executingNQ, ok := suite.balancer.executingTaskTotalNQ.Get(node)
metrics, ok := suite.balancer.metricsMap.Get(node)
suite.True(ok)
suite.Equal(int64(0), executingNQ.Load())
suite.Equal(int64(0), metrics.executingNQ.Load())
}
func (suite *LookAsideBalancerSuite) TestCheckHealthLoop() {
qn2 := mocks.NewMockQueryNodeClient(suite.T())
suite.clientMgr.EXPECT().GetClient(mock.Anything, int64(2)).Return(qn2, nil)
suite.clientMgr.EXPECT().GetClient(mock.Anything, int64(2)).Return(qn2, nil).Maybe()
qn2.EXPECT().GetComponentStates(mock.Anything, mock.Anything).Return(&milvuspb.ComponentStates{
State: &milvuspb.ComponentInfo{
StateCode: commonpb.StateCode_Healthy,
},
}, nil)
}, nil).Maybe()
suite.balancer.metricsUpdateTs.Insert(1, time.Now().UnixMilli())
suite.balancer.metricsUpdateTs.Insert(2, time.Now().UnixMilli())
suite.balancer.unreachableQueryNodes.Insert(2)
metrics1 := &CostMetrics{}
metrics1.ts.Store(time.Now().UnixMilli())
metrics1.unavailable.Store(true)
suite.balancer.metricsMap.Insert(1, metrics1)
metrics2 := &CostMetrics{}
metrics2.ts.Store(time.Now().UnixMilli())
metrics2.unavailable.Store(true)
suite.balancer.metricsMap.Insert(2, metrics2)
suite.Eventually(func() bool {
return suite.balancer.unreachableQueryNodes.Contain(1)
metrics, ok := suite.balancer.metricsMap.Get(1)
return ok && metrics.unavailable.Load()
}, 5*time.Second, 100*time.Millisecond)
targetNode, err := suite.balancer.SelectNode(context.Background(), []int64{1}, 1)
suite.ErrorIs(err, merr.ErrServiceUnavailable)
@ -326,16 +325,21 @@ func (suite *LookAsideBalancerSuite) TestCheckHealthLoop() {
suite.balancer.UpdateCostMetrics(1, &internalpb.CostAggregation{})
suite.Eventually(func() bool {
return !suite.balancer.unreachableQueryNodes.Contain(1)
metrics, ok := suite.balancer.metricsMap.Get(1)
return ok && !metrics.unavailable.Load()
}, 3*time.Second, 100*time.Millisecond)
suite.Eventually(func() bool {
return !suite.balancer.unreachableQueryNodes.Contain(2)
metrics, ok := suite.balancer.metricsMap.Get(2)
return ok && !metrics.unavailable.Load()
}, 5*time.Second, 100*time.Millisecond)
}
func (suite *LookAsideBalancerSuite) TestGetClientFailed() {
suite.balancer.metricsUpdateTs.Insert(2, time.Now().UnixMilli())
metrics1 := &CostMetrics{}
metrics1.ts.Store(time.Now().UnixMilli())
metrics1.unavailable.Store(true)
suite.balancer.metricsMap.Insert(2, metrics1)
// test get shard client from client mgr return nil
suite.clientMgr.ExpectedCalls = nil
@ -364,13 +368,17 @@ func (suite *LookAsideBalancerSuite) TestNodeRecover() {
},
}, nil)
suite.balancer.metricsUpdateTs.Insert(3, time.Now().UnixMilli())
metrics1 := &CostMetrics{}
metrics1.ts.Store(time.Now().UnixMilli())
suite.balancer.metricsMap.Insert(3, metrics1)
suite.Eventually(func() bool {
return suite.balancer.unreachableQueryNodes.Contain(3)
metrics, ok := suite.balancer.metricsMap.Get(3)
return ok && metrics.unavailable.Load()
}, 5*time.Second, 100*time.Millisecond)
suite.Eventually(func() bool {
return !suite.balancer.unreachableQueryNodes.Contain(3)
metrics, ok := suite.balancer.metricsMap.Get(3)
return ok && !metrics.unavailable.Load()
}, 5*time.Second, 100*time.Millisecond)
}
@ -386,17 +394,82 @@ func (suite *LookAsideBalancerSuite) TestNodeOffline() {
},
}, nil)
suite.balancer.metricsUpdateTs.Insert(3, time.Now().UnixMilli())
metrics1 := &CostMetrics{}
metrics1.ts.Store(time.Now().UnixMilli())
suite.balancer.metricsMap.Insert(3, metrics1)
suite.Eventually(func() bool {
return suite.balancer.unreachableQueryNodes.Contain(3)
metrics, ok := suite.balancer.metricsMap.Get(3)
return ok && metrics.unavailable.Load()
}, 5*time.Second, 100*time.Millisecond)
suite.Eventually(func() bool {
return !suite.balancer.metricsUpdateTs.Contain(3)
_, ok := suite.balancer.metricsMap.Get(3)
return !ok
}, 10*time.Second, 100*time.Millisecond)
suite.Eventually(func() bool {
return !suite.balancer.unreachableQueryNodes.Contain(3)
}, time.Second, 100*time.Millisecond)
}
func BenchmarkSelectNode_QNWithSameWorkload(b *testing.B) {
balancer := NewLookAsideBalancer(nil)
ctx := context.Background()
nodeList := make([]int64, 0o0)
metrics := &internalpb.CostAggregation{
ResponseTime: 100,
ServiceTime: 100,
TotalNQ: 100,
}
for i := 0; i < 16; i++ {
nodeID := int64(10000 + i)
nodeList = append(nodeList, nodeID)
}
cost := int64(7)
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
for pb.Next() {
node, _ := balancer.SelectNode(ctx, nodeList, cost)
balancer.CancelWorkload(node, cost)
balancer.UpdateCostMetrics(node, metrics)
}
})
}
func BenchmarkSelectNode_QNWithDifferentWorkload(b *testing.B) {
balancer := NewLookAsideBalancer(nil)
ctx := context.Background()
nodeList := make([]int64, 0o0)
metrics := &internalpb.CostAggregation{
ResponseTime: 100,
ServiceTime: 100,
TotalNQ: 100,
}
heavyMetric := &internalpb.CostAggregation{
ResponseTime: 1000,
ServiceTime: 1000,
TotalNQ: 1000,
}
for i := 0; i < 16; i++ {
nodeID := int64(10000 + i)
nodeList = append(nodeList, nodeID)
}
cost := int64(7)
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
var i int
for pb.Next() {
node, _ := balancer.SelectNode(ctx, nodeList, cost)
balancer.CancelWorkload(node, cost)
if i%2 == 0 {
balancer.UpdateCostMetrics(node, heavyMetric)
} else {
balancer.UpdateCostMetrics(node, metrics)
}
i++
}
})
}
func TestLookAsideBalancerSuite(t *testing.T) {

View File

@ -1230,7 +1230,9 @@ type proxyConfig struct {
ShardLeaderCacheInterval ParamItem `refreshable:"false"`
ReplicaSelectionPolicy ParamItem `refreshable:"false"`
CheckQueryNodeHealthInterval ParamItem `refreshable:"false"`
CostMetricsExpireTime ParamItem `refreshable:"true"`
CostMetricsExpireTime ParamItem `refreshable:"false"`
CheckWorkloadRequestNum ParamItem `refreshable:"false"`
WorkloadToleranceFactor ParamItem `refreshable:"false"`
RetryTimesOnReplica ParamItem `refreshable:"true"`
RetryTimesOnHealthCheck ParamItem `refreshable:"true"`
PartitionNameRegexp ParamItem `refreshable:"true"`
@ -1551,6 +1553,23 @@ please adjust in embedded Milvus: false`,
}
p.CostMetricsExpireTime.Init(base.mgr)
p.CheckWorkloadRequestNum = ParamItem{
Key: "proxy.checkWorkloadRequestNum",
Version: "2.4.12",
DefaultValue: "10",
Doc: "after every requestNum requests has been assigned, try to check workload for query node",
}
p.CheckWorkloadRequestNum.Init(base.mgr)
p.WorkloadToleranceFactor = ParamItem{
Key: "proxy.workloadToleranceFactor",
Version: "2.4.12",
DefaultValue: "0.1",
Doc: `tolerance factor for query node workload difference, default to 10%, which means if query node's workload diff is higher than this factor,
proxy will compute each querynode's workload score, and assign request to the lowest workload node; otherwise, it will assign request to the node by round robin`,
}
p.WorkloadToleranceFactor.Init(base.mgr)
p.RetryTimesOnReplica = ParamItem{
Key: "proxy.retryTimesOnReplica",
Version: "2.3.0",

View File

@ -208,6 +208,9 @@ func TestComponentParam(t *testing.T) {
assert.False(t, Params.SkipPartitionKeyCheck.GetAsBool())
params.Save("proxy.skipPartitionKeyCheck", "true")
assert.True(t, Params.SkipPartitionKeyCheck.GetAsBool())
assert.Equal(t, int64(10), Params.CheckWorkloadRequestNum.GetAsInt64())
assert.Equal(t, float64(0.1), Params.WorkloadToleranceFactor.GetAsFloat())
})
// t.Run("test proxyConfig panic", func(t *testing.T) {