hscontrol/types: silence zerolog by default in tests

Tests were dumping megabytes of zerolog output on failure; silence
at init and let individual tests opt in via SetGlobalLevel when they need
log-driven assertions.

Updates #3157
This commit is contained in:
Kristoffer Dalby 2026-04-15 08:28:11 +00:00
parent affaa1a31d
commit 1059c678c4
7 changed files with 66 additions and 156 deletions

View file

@ -21,7 +21,6 @@ import (
"github.com/juanfont/headscale/hscontrol/types"
"github.com/juanfont/headscale/hscontrol/types/change"
"github.com/rs/zerolog"
"tailscale.com/tailcfg"
)
@ -40,9 +39,6 @@ var (
// BenchmarkScale_IsConnected tests single-node lookup at increasing map sizes.
func BenchmarkScale_IsConnected(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsO1 {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, _ := benchBatcher(n, 1)
@ -65,9 +61,6 @@ func BenchmarkScale_IsConnected(b *testing.B) {
// BenchmarkScale_AddToBatch_Targeted tests single-node targeted change at
// increasing map sizes. The map size should not affect per-operation cost.
func BenchmarkScale_AddToBatch_Targeted(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsO1 {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, _ := benchBatcher(n, 10)
@ -104,9 +97,6 @@ func BenchmarkScale_AddToBatch_Targeted(b *testing.B) {
// BenchmarkScale_ConnectionChurn tests add/remove connection cycle.
// The map size should not affect per-operation cost for a single node.
func BenchmarkScale_ConnectionChurn(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsO1 {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, channels := benchBatcher(n, 10)
@ -152,9 +142,6 @@ func BenchmarkScale_ConnectionChurn(b *testing.B) {
// BenchmarkScale_AddToBatch_Broadcast tests broadcasting a change to ALL nodes.
// Cost should scale linearly with node count.
func BenchmarkScale_AddToBatch_Broadcast(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsLinear {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, _ := benchBatcher(n, 10)
@ -182,9 +169,6 @@ func BenchmarkScale_AddToBatch_Broadcast(b *testing.B) {
// BenchmarkScale_AddToBatch_FullUpdate tests FullUpdate broadcast cost.
func BenchmarkScale_AddToBatch_FullUpdate(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsLinear {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, _ := benchBatcher(n, 10)
@ -205,9 +189,6 @@ func BenchmarkScale_AddToBatch_FullUpdate(b *testing.B) {
// BenchmarkScale_ProcessBatchedChanges tests draining pending changes into work queue.
func BenchmarkScale_ProcessBatchedChanges(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsLinear {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, _ := benchBatcher(n, 10)
@ -238,9 +219,6 @@ func BenchmarkScale_ProcessBatchedChanges(b *testing.B) {
// BenchmarkScale_BroadcastToN tests end-to-end: addToBatch + processBatchedChanges.
func BenchmarkScale_BroadcastToN(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsLinear {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, _ := benchBatcher(n, 10)
@ -267,9 +245,6 @@ func BenchmarkScale_BroadcastToN(b *testing.B) {
// This isolates the multiChannelNodeConn.send() cost.
// Uses large buffered channels to avoid goroutine drain overhead.
func BenchmarkScale_SendToAll(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsLinear {
b.Run(strconv.Itoa(n), func(b *testing.B) {
// b.N+1 buffer so sends never block
@ -300,9 +275,6 @@ func BenchmarkScale_SendToAll(b *testing.B) {
// BenchmarkScale_ConnectedMap tests building the full connected/disconnected map.
func BenchmarkScale_ConnectedMap(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsHeavy {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, channels := benchBatcher(n, 1)
@ -335,9 +307,6 @@ func BenchmarkScale_ConnectedMap(b *testing.B) {
// BenchmarkScale_ComputePeerDiff tests peer diff computation at scale.
// Each node tracks N-1 peers, with 10% removed.
func BenchmarkScale_ComputePeerDiff(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsHeavy {
b.Run(strconv.Itoa(n), func(b *testing.B) {
mc := newMultiChannelNodeConn(1, nil)
@ -366,9 +335,6 @@ func BenchmarkScale_ComputePeerDiff(b *testing.B) {
// BenchmarkScale_UpdateSentPeers_Full tests full peer list update.
func BenchmarkScale_UpdateSentPeers_Full(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsHeavy {
b.Run(strconv.Itoa(n), func(b *testing.B) {
mc := newMultiChannelNodeConn(1, nil)
@ -391,9 +357,6 @@ func BenchmarkScale_UpdateSentPeers_Full(b *testing.B) {
// BenchmarkScale_UpdateSentPeers_Incremental tests incremental peer updates (10% new).
func BenchmarkScale_UpdateSentPeers_Incremental(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsHeavy {
b.Run(strconv.Itoa(n), func(b *testing.B) {
mc := newMultiChannelNodeConn(1, nil)
@ -428,9 +391,6 @@ func BenchmarkScale_UpdateSentPeers_Incremental(b *testing.B) {
// ~1.6 connections on average (every 3rd node has 3 connections).
// Uses large buffered channels to avoid goroutine drain overhead.
func BenchmarkScale_MultiChannelBroadcast(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsHeavy {
b.Run(strconv.Itoa(n), func(b *testing.B) {
// Use b.N+1 buffer so sends never block
@ -480,9 +440,6 @@ func BenchmarkScale_MultiChannelBroadcast(b *testing.B) {
// BenchmarkScale_ConcurrentAddToBatch tests parallel addToBatch throughput.
func BenchmarkScale_ConcurrentAddToBatch(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsConc {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, _ := benchBatcher(n, 10)
@ -529,9 +486,6 @@ func BenchmarkScale_ConcurrentAddToBatch(b *testing.B) {
// sending to all nodes while 10% of connections are churning concurrently.
// Uses large buffered channels to avoid goroutine drain overhead.
func BenchmarkScale_ConcurrentSendAndChurn(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsConc {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, channels := benchBatcher(n, b.N+1)
@ -602,9 +556,6 @@ func BenchmarkScale_ConcurrentSendAndChurn(b *testing.B) {
// - 10% full updates (broadcast with full map)
// All while 10% of connections are churning.
func BenchmarkScale_MixedWorkload(b *testing.B) {
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, n := range scaleCountsConc {
b.Run(strconv.Itoa(n), func(b *testing.B) {
batcher, channels := benchBatcher(n, 10)
@ -722,9 +673,6 @@ func BenchmarkScale_AddAllNodes(b *testing.B) {
b.Skip("skipping full pipeline benchmark in short mode")
}
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, nodeCount := range []int{10, 50, 100, 200, 500} {
b.Run(strconv.Itoa(nodeCount), func(b *testing.B) {
testData, cleanup := setupBatcherWithTestData(b, NewBatcherAndMapper, 1, nodeCount, largeBufferSize)
@ -785,9 +733,6 @@ func BenchmarkScale_SingleAddNode(b *testing.B) {
b.Skip("skipping full pipeline benchmark in short mode")
}
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, nodeCount := range []int{10, 50, 100, 200, 500, 1000} {
b.Run(strconv.Itoa(nodeCount), func(b *testing.B) {
testData, cleanup := setupBatcherWithTestData(b, NewBatcherAndMapper, 1, nodeCount, largeBufferSize)
@ -851,9 +796,6 @@ func BenchmarkScale_MapResponse_DERPMap(b *testing.B) {
b.Skip("skipping full pipeline benchmark in short mode")
}
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, nodeCount := range []int{10, 50, 100, 200, 500} {
b.Run(strconv.Itoa(nodeCount), func(b *testing.B) {
testData, cleanup := setupBatcherWithTestData(b, NewBatcherAndMapper, 1, nodeCount, largeBufferSize)
@ -903,9 +845,6 @@ func BenchmarkScale_MapResponse_FullUpdate(b *testing.B) {
b.Skip("skipping full pipeline benchmark in short mode")
}
zerolog.SetGlobalLevel(zerolog.Disabled)
defer zerolog.SetGlobalLevel(zerolog.DebugLevel)
for _, nodeCount := range []int{10, 50, 100, 200, 500} {
b.Run(strconv.Itoa(nodeCount), func(b *testing.B) {
testData, cleanup := setupBatcherWithTestData(b, NewBatcherAndMapper, 1, nodeCount, largeBufferSize)