github.com/zoomfoo/nomad@v0.8.5-0.20180907175415-f28fd3a1a056/scheduler/rank_test.go

package scheduler

import (
	"testing"

	"github.com/hashicorp/nomad/helper/uuid"
	"github.com/hashicorp/nomad/nomad/mock"
	"github.com/hashicorp/nomad/nomad/structs"
	require "github.com/stretchr/testify/require"
)

func TestFeasibleRankIterator(t *testing.T) {
	_, ctx := testContext(t)
	var nodes []*structs.Node
	for i := 0; i < 10; i++ {
		nodes = append(nodes, mock.Node())
	}
	static := NewStaticIterator(ctx, nodes)

	feasible := NewFeasibleRankIterator(ctx, static)

	out := collectRanked(feasible)
	if len(out) != len(nodes) {
		t.Fatalf("bad: %v", out)
	}
}

func TestBinPackIterator_NoExistingAlloc(t *testing.T) {
	_, ctx := testContext(t)
	nodes := []*RankedNode{
		{
			Node: &structs.Node{
				// Perfect fit
				Resources: &structs.Resources{
					CPU:      2048,
					MemoryMB: 2048,
				},
				Reserved: &structs.Resources{
					CPU:      1024,
					MemoryMB: 1024,
				},
			},
		},
		{
			Node: &structs.Node{
				// Overloaded
				Resources: &structs.Resources{
					CPU:      1024,
					MemoryMB: 1024,
				},
				Reserved: &structs.Resources{
					CPU:      512,
					MemoryMB: 512,
				},
			},
		},
		{
			Node: &structs.Node{
				// 50% fit
				Resources: &structs.Resources{
					CPU:      4096,
					MemoryMB: 4096,
				},
				Reserved: &structs.Resources{
					CPU:      1024,
					MemoryMB: 1024,
				},
			},
		},
	}
	static := NewStaticRankIterator(ctx, nodes)

	taskGroup := &structs.TaskGroup{
		EphemeralDisk: &structs.EphemeralDisk{},
		Tasks: []*structs.Task{
			{
				Name: "web",
				Resources: &structs.Resources{
					CPU:      1024,
					MemoryMB: 1024,
				},
			},
		},
	}
	binp := NewBinPackIterator(ctx, static, false, 0)
	binp.SetTaskGroup(taskGroup)

	scoreNorm := NewScoreNormalizationIterator(ctx, binp)

	out := collectRanked(scoreNorm)
	if len(out) != 2 {
		t.Fatalf("Bad: %v", out)
	}
	if out[0] != nodes[0] || out[1] != nodes[2] {
		t.Fatalf("Bad: %v", out)
	}

	if out[0].FinalScore != 1.0 {
		t.Fatalf("Bad Score: %v", out[0].FinalScore)
	}
	if out[1].FinalScore < 0.75 || out[1].FinalScore > 0.95 {
		t.Fatalf("Bad Score: %v", out[1].FinalScore)
	}
}

func TestBinPackIterator_PlannedAlloc(t *testing.T) {
	_, ctx := testContext(t)
	nodes := []*RankedNode{
		{
			Node: &structs.Node{
				// Perfect fit
				ID: uuid.Generate(),
				Resources: &structs.Resources{
					CPU:      2048,
					MemoryMB: 2048,
				},
			},
		},
		{
			Node: &structs.Node{
				// Perfect fit
				ID: uuid.Generate(),
				Resources: &structs.Resources{
					CPU:      2048,
					MemoryMB: 2048,
				},
			},
		},
	}
	static := NewStaticRankIterator(ctx, nodes)

	// Add a planned alloc to node1 that fills it
	plan := ctx.Plan()
	plan.NodeAllocation[nodes[0].Node.ID] = []*structs.Allocation{
		{
			Resources: &structs.Resources{
				CPU:      2048,
				MemoryMB: 2048,
			},
		},
	}

	// Add a planned alloc to node2 that half fills it
	plan.NodeAllocation[nodes[1].Node.ID] = []*structs.Allocation{
		{
			Resources: &structs.Resources{
				CPU:      1024,
				MemoryMB: 1024,
			},
		},
	}

	taskGroup := &structs.TaskGroup{
		EphemeralDisk: &structs.EphemeralDisk{},
		Tasks: []*structs.Task{
			{
				Name: "web",
				Resources: &structs.Resources{
					CPU:      1024,
					MemoryMB: 1024,
				},
			},
		},
	}

	binp := NewBinPackIterator(ctx, static, false, 0)
	binp.SetTaskGroup(taskGroup)

	scoreNorm := NewScoreNormalizationIterator(ctx, binp)

	out := collectRanked(scoreNorm)
	if len(out) != 1 {
		t.Fatalf("Bad: %#v", out)
	}
	if out[0] != nodes[1] {
		t.Fatalf("Bad Score: %v", out)
	}

	if out[0].FinalScore != 1.0 {
		t.Fatalf("Bad Score: %v", out[0].FinalScore)
	}
}

func TestBinPackIterator_ExistingAlloc(t *testing.T) {
	state, ctx := testContext(t)
	nodes := []*RankedNode{
		{
			Node: &structs.Node{
				// Perfect fit
				ID: uuid.Generate(),
				Resources: &structs.Resources{
					CPU:      2048,
					MemoryMB: 2048,
				},
			},
		},
		{
			Node: &structs.Node{
				// Perfect fit
				ID: uuid.Generate(),
				Resources: &structs.Resources{
					CPU:      2048,
					MemoryMB: 2048,
				},
			},
		},
	}
	static := NewStaticRankIterator(ctx, nodes)

	// Add existing allocations
	j1, j2 := mock.Job(), mock.Job()
	alloc1 := &structs.Allocation{
		Namespace: structs.DefaultNamespace,
		ID:        uuid.Generate(),
		EvalID:    uuid.Generate(),
		NodeID:    nodes[0].Node.ID,
		JobID:     j1.ID,
		Job:       j1,
		Resources: &structs.Resources{
			CPU:      2048,
			MemoryMB: 2048,
		},
		DesiredStatus: structs.AllocDesiredStatusRun,
		ClientStatus:  structs.AllocClientStatusPending,
		TaskGroup:     "web",
	}
	alloc2 := &structs.Allocation{
		Namespace: structs.DefaultNamespace,
		ID:        uuid.Generate(),
		EvalID:    uuid.Generate(),
		NodeID:    nodes[1].Node.ID,
		JobID:     j2.ID,
		Job:       j2,
		Resources: &structs.Resources{
			CPU:      1024,
			MemoryMB: 1024,
		},
		DesiredStatus: structs.AllocDesiredStatusRun,
		ClientStatus:  structs.AllocClientStatusPending,
		TaskGroup:     "web",
	}
	noErr(t, state.UpsertJobSummary(998, mock.JobSummary(alloc1.JobID)))
	noErr(t, state.UpsertJobSummary(999, mock.JobSummary(alloc2.JobID)))
	noErr(t, state.UpsertAllocs(1000, []*structs.Allocation{alloc1, alloc2}))

	taskGroup := &structs.TaskGroup{
		EphemeralDisk: &structs.EphemeralDisk{},
		Tasks: []*structs.Task{
			{
				Name: "web",
				Resources: &structs.Resources{
					CPU:      1024,
					MemoryMB: 1024,
				},
			},
		},
	}
	binp := NewBinPackIterator(ctx, static, false, 0)
	binp.SetTaskGroup(taskGroup)

	scoreNorm := NewScoreNormalizationIterator(ctx, binp)

	out := collectRanked(scoreNorm)
	if len(out) != 1 {
		t.Fatalf("Bad: %#v", out)
	}
	if out[0] != nodes[1] {
		t.Fatalf("Bad: %v", out)
	}
	if out[0].FinalScore != 1.0 {
		t.Fatalf("Bad Score: %v", out[0].FinalScore)
	}
}

func TestBinPackIterator_ExistingAlloc_PlannedEvict(t *testing.T) {
	state, ctx := testContext(t)
	nodes := []*RankedNode{
		{
			Node: &structs.Node{
				// Perfect fit
				ID: uuid.Generate(),
				Resources: &structs.Resources{
					CPU:      2048,
					MemoryMB: 2048,
				},
			},
		},
		{
			Node: &structs.Node{
				// Perfect fit
				ID: uuid.Generate(),
				Resources: &structs.Resources{
					CPU:      2048,
					MemoryMB: 2048,
				},
			},
		},
	}
	static := NewStaticRankIterator(ctx, nodes)

	// Add existing allocations
	j1, j2 := mock.Job(), mock.Job()
	alloc1 := &structs.Allocation{
		Namespace: structs.DefaultNamespace,
		ID:        uuid.Generate(),
		EvalID:    uuid.Generate(),
		NodeID:    nodes[0].Node.ID,
		JobID:     j1.ID,
		Job:       j1,
		Resources: &structs.Resources{
			CPU:      2048,
			MemoryMB: 2048,
		},
		DesiredStatus: structs.AllocDesiredStatusRun,
		ClientStatus:  structs.AllocClientStatusPending,
		TaskGroup:     "web",
	}
	alloc2 := &structs.Allocation{
		Namespace: structs.DefaultNamespace,
		ID:        uuid.Generate(),
		EvalID:    uuid.Generate(),
		NodeID:    nodes[1].Node.ID,
		JobID:     j2.ID,
		Job:       j2,
		Resources: &structs.Resources{
			CPU:      1024,
			MemoryMB: 1024,
		},
		DesiredStatus: structs.AllocDesiredStatusRun,
		ClientStatus:  structs.AllocClientStatusPending,
		TaskGroup:     "web",
	}
	noErr(t, state.UpsertJobSummary(998, mock.JobSummary(alloc1.JobID)))
	noErr(t, state.UpsertJobSummary(999, mock.JobSummary(alloc2.JobID)))
	noErr(t, state.UpsertAllocs(1000, []*structs.Allocation{alloc1, alloc2}))

	// Add a planned eviction to alloc1
	plan := ctx.Plan()
	plan.NodeUpdate[nodes[0].Node.ID] = []*structs.Allocation{alloc1}

	taskGroup := &structs.TaskGroup{
		EphemeralDisk: &structs.EphemeralDisk{},
		Tasks: []*structs.Task{
			{
				Name: "web",
				Resources: &structs.Resources{
					CPU:      1024,
					MemoryMB: 1024,
				},
			},
		},
	}

	binp := NewBinPackIterator(ctx, static, false, 0)
	binp.SetTaskGroup(taskGroup)

	scoreNorm := NewScoreNormalizationIterator(ctx, binp)

	out := collectRanked(scoreNorm)
	if len(out) != 2 {
		t.Fatalf("Bad: %#v", out)
	}
	if out[0] != nodes[0] || out[1] != nodes[1] {
		t.Fatalf("Bad: %v", out)
	}
	if out[0].FinalScore < 0.50 || out[0].FinalScore > 0.95 {
		t.Fatalf("Bad Score: %v", out[0].FinalScore)
	}
	if out[1].FinalScore != 1 {
		t.Fatalf("Bad Score: %v", out[1].FinalScore)
	}
}

func TestJobAntiAffinity_PlannedAlloc(t *testing.T) {
	_, ctx := testContext(t)
	nodes := []*RankedNode{
		{
			Node: &structs.Node{
				ID: uuid.Generate(),
			},
		},
		{
			Node: &structs.Node{
				ID: uuid.Generate(),
			},
		},
	}
	static := NewStaticRankIterator(ctx, nodes)

	job := mock.Job()
	job.ID = "foo"
	tg := job.TaskGroups[0]
	tg.Count = 4

	// Add a planned alloc to node1 that fills it
	plan := ctx.Plan()
	plan.NodeAllocation[nodes[0].Node.ID] = []*structs.Allocation{
		{
			ID:        uuid.Generate(),
			JobID:     "foo",
			TaskGroup: tg.Name,
		},
		{
			ID:        uuid.Generate(),
			JobID:     "foo",
			TaskGroup: tg.Name,
		},
	}

	// Add a planned alloc to node2 that half fills it
	plan.NodeAllocation[nodes[1].Node.ID] = []*structs.Allocation{
		{
			JobID: "bar",
		},
	}

	jobAntiAff := NewJobAntiAffinityIterator(ctx, static, "foo")
	jobAntiAff.SetJob(job)
	jobAntiAff.SetTaskGroup(tg)

	scoreNorm := NewScoreNormalizationIterator(ctx, jobAntiAff)

	out := collectRanked(scoreNorm)
	if len(out) != 2 {
		t.Fatalf("Bad: %#v", out)
	}
	if out[0] != nodes[0] {
		t.Fatalf("Bad: %v", out)
	}
	// Score should be -(#collissions+1/desired_count) => -(3/4)
	if out[0].FinalScore != -0.75 {
		t.Fatalf("Bad Score: %#v", out[0].FinalScore)
	}

	if out[1] != nodes[1] {
		t.Fatalf("Bad: %v", out)
	}
	if out[1].FinalScore != 0.0 {
		t.Fatalf("Bad Score: %v", out[1].FinalScore)
	}
}

func collectRanked(iter RankIterator) (out []*RankedNode) {
	for {
		next := iter.Next()
		if next == nil {
			break
		}
		out = append(out, next)
	}
	return
}

func TestNodeAntiAffinity_PenaltyNodes(t *testing.T) {
	_, ctx := testContext(t)
	node1 := &structs.Node{
		ID: uuid.Generate(),
	}
	node2 := &structs.Node{
		ID: uuid.Generate(),
	}

	nodes := []*RankedNode{
		{
			Node: node1,
		},
		{
			Node: node2,
		},
	}
	static := NewStaticRankIterator(ctx, nodes)

	nodeAntiAffIter := NewNodeReschedulingPenaltyIterator(ctx, static)
	nodeAntiAffIter.SetPenaltyNodes(map[string]struct{}{node1.ID: {}})

	scoreNorm := NewScoreNormalizationIterator(ctx, nodeAntiAffIter)

	out := collectRanked(scoreNorm)

	require := require.New(t)
	require.Equal(2, len(out))
	require.Equal(node1.ID, out[0].Node.ID)
	require.Equal(-1.0, out[0].FinalScore)

	require.Equal(node2.ID, out[1].Node.ID)
	require.Equal(0.0, out[1].FinalScore)

}

func TestScoreNormalizationIterator(t *testing.T) {
	// Test normalized scores when there is more than one scorer
	_, ctx := testContext(t)
	nodes := []*RankedNode{
		{
			Node: &structs.Node{
				ID: uuid.Generate(),
			},
		},
		{
			Node: &structs.Node{
				ID: uuid.Generate(),
			},
		},
	}
	static := NewStaticRankIterator(ctx, nodes)

	job := mock.Job()
	job.ID = "foo"
	tg := job.TaskGroups[0]
	tg.Count = 4

	// Add a planned alloc to node1 that fills it
	plan := ctx.Plan()
	plan.NodeAllocation[nodes[0].Node.ID] = []*structs.Allocation{
		{
			ID:        uuid.Generate(),
			JobID:     "foo",
			TaskGroup: tg.Name,
		},
		{
			ID:        uuid.Generate(),
			JobID:     "foo",
			TaskGroup: tg.Name,
		},
	}

	// Add a planned alloc to node2 that half fills it
	plan.NodeAllocation[nodes[1].Node.ID] = []*structs.Allocation{
		{
			JobID: "bar",
		},
	}

	jobAntiAff := NewJobAntiAffinityIterator(ctx, static, "foo")
	jobAntiAff.SetJob(job)
	jobAntiAff.SetTaskGroup(tg)

	nodeReschedulePenaltyIter := NewNodeReschedulingPenaltyIterator(ctx, jobAntiAff)
	nodeReschedulePenaltyIter.SetPenaltyNodes(map[string]struct{}{nodes[0].Node.ID: {}})

	scoreNorm := NewScoreNormalizationIterator(ctx, nodeReschedulePenaltyIter)

	out := collectRanked(scoreNorm)
	require := require.New(t)

	require.Equal(2, len(out))
	require.Equal(out[0], nodes[0])
	// Score should be averaged between both scorers
	// -0.75 from job anti affinity and -1 from node rescheduling penalty
	require.Equal(-0.875, out[0].FinalScore)
	require.Equal(out[1], nodes[1])
	require.Equal(out[1].FinalScore, 0.0)
}

func TestNodeAffinityIterator(t *testing.T) {
	_, ctx := testContext(t)
	nodes := []*RankedNode{
		{Node: mock.Node()},
		{Node: mock.Node()},
		{Node: mock.Node()},
		{Node: mock.Node()},
	}

	nodes[0].Node.Attributes["kernel.version"] = "4.9"
	nodes[1].Node.Datacenter = "dc2"
	nodes[2].Node.Datacenter = "dc2"
	nodes[2].Node.NodeClass = "large"

	affinities := []*structs.Affinity{
		{
			Operand: "=",
			LTarget: "${node.datacenter}",
			RTarget: "dc1",
			Weight:  200,
		},
		{
			Operand: "=",
			LTarget: "${node.datacenter}",
			RTarget: "dc2",
			Weight:  -100,
		},
		{
			Operand: "version",
			LTarget: "${attr.kernel.version}",
			RTarget: ">4.0",
			Weight:  50,
		},
		{
			Operand: "is",
			LTarget: "${node.class}",
			RTarget: "large",
			Weight:  50,
		},
	}

	static := NewStaticRankIterator(ctx, nodes)

	job := mock.Job()
	job.ID = "foo"
	tg := job.TaskGroups[0]
	tg.Affinities = affinities

	nodeAffinity := NewNodeAffinityIterator(ctx, static)
	nodeAffinity.SetTaskGroup(tg)

	scoreNorm := NewScoreNormalizationIterator(ctx, nodeAffinity)

	out := collectRanked(scoreNorm)
	expectedScores := make(map[string]float64)
	// Total weight = 400
	// Node 0 matches two affinities(dc and kernel version), total weight =250
	expectedScores[nodes[0].Node.ID] = 0.625

	// Node 1 matches an anti affinity, weight = -100
	expectedScores[nodes[1].Node.ID] = -0.25

	// Node 2 matches one affinity(node class) with weight 50
	expectedScores[nodes[2].Node.ID] = -0.125

	// Node 3 matches one affinity (dc) with weight = 200
	expectedScores[nodes[3].Node.ID] = 0.5

	require := require.New(t)
	for _, n := range out {
		require.Equal(expectedScores[n.Node.ID], n.FinalScore)
	}

}