Files
nomad/scheduler/reconciler/allocs.go
Tim Gross 2c4be7fc2e Reconciler mutation improvements (#26325)
Refactors of the `computeGroup` code in the reconciler to make understanding its
mutations more manageable. Some of this work makes mutation more consistent but
more importantly it's intended to make it readily _detectable_ while still being
readable. Includes:

* In the `computeCanaries` function, we mutate the dstate and the result and
  then the return values are used to further mutate the result in the
  caller. Move all this mutation into the function.

* In the `computeMigrations` function, we mutate the result and then the return
  values are used to further mutate the result in the caller. Move all this
  mutation into the function.

* In the `cancelUnneededCanaries` function, we mutate the result and then the
  return values are used to further mutate the result in the caller. Move all
  this mutation into the function, and annotate which `allocSet`s are mutated by
  taking a pointer to the set.

* The `createRescheduleLaterEvals` function currently mutates the results and
  returns updates to mutate the results in the caller. Move all this mutation
  into the function to help cleanup `computeGroup`.

* Extract `computeReconnecting` method from `computeGroup`. There's some tangled
  logic in `computeGroup` for determining changes to make for reconnecting
  allocations. Pull this out into its own function. Annotate mutability in the
  function by passing pointers to `allocSet` where needed, and mutate the result
  to update counts. Rename the old `computeReconnecting` method to
  `appendReconnectingUpdates` to mirror the naming of the similar logic for
  disconnects.

* Extract `computeDisconnecting` method from `computeGroup`. There's some
  tangled logic in `computeGroup` for determining changes to make for
  disconnected allocations. Pull this out into its own function. Annotate
  mutability in the function by passing pointers to `allocSet` where needed, and
  mutate the result to update counts.

* The `appendUnknownDisconnectingUpdates` method used to create updates for
  disconnected allocations mutates one of its `allocSet` arguments to change the
  allocations that the reschedule now set points to. Pull this update out into
  the caller.

* A handful of small docstring and helper function fixes


Ref: https://hashicorp.atlassian.net/browse/NMD-819
2025-07-24 08:33:49 -04:00

444 lines
14 KiB
Go

// Copyright (c) HashiCorp, Inc.
// SPDX-License-Identifier: BUSL-1.1
package reconciler
import (
"fmt"
"maps"
"sort"
"strings"
"github.com/hashicorp/nomad/nomad/structs"
)
// This file contains various types and methods that are used for keeping track
// of allocations during reconciliation process.
// PlacementResult is an allocation that must be placed. It potentially has a
// previous allocation attached to it that should be stopped only if the
// paired placement is complete. This gives an atomic place/stop behavior to
// prevent an impossible resource ask as part of a rolling update to wipe the
// job out.
type PlacementResult interface {
// TaskGroup returns the task group the placement is for
TaskGroup() *structs.TaskGroup
// Name returns the name of the desired allocation
Name() string
// Canary returns whether the placement should be a canary
Canary() bool
// PreviousAllocation returns the previous allocation
PreviousAllocation() *structs.Allocation
// SetPreviousAllocation updates the reference to the previous allocation
SetPreviousAllocation(*structs.Allocation)
// IsRescheduling returns whether the placement was rescheduling a failed allocation
IsRescheduling() bool
// StopPreviousAlloc returns whether the previous allocation should be
// stopped and if so the status description.
StopPreviousAlloc() (bool, string)
// PreviousLost is true if the previous allocation was lost.
PreviousLost() bool
// DowngradeNonCanary indicates that placement should use the latest stable job
// with the MinJobVersion, rather than the current deployment version
DowngradeNonCanary() bool
MinJobVersion() uint64
}
// AllocStopResult contains the information required to stop a single allocation
type AllocStopResult struct {
Alloc *structs.Allocation
ClientStatus string
StatusDescription string
FollowupEvalID string
}
// AllocPlaceResult contains the information required to place a single
// allocation
type AllocPlaceResult struct {
name string
canary bool
taskGroup *structs.TaskGroup
previousAlloc *structs.Allocation
reschedule bool
lost bool
downgradeNonCanary bool
minJobVersion uint64
}
func (a AllocPlaceResult) TaskGroup() *structs.TaskGroup { return a.taskGroup }
func (a AllocPlaceResult) Name() string { return a.name }
func (a AllocPlaceResult) Canary() bool { return a.canary }
func (a AllocPlaceResult) PreviousAllocation() *structs.Allocation { return a.previousAlloc }
func (a AllocPlaceResult) SetPreviousAllocation(alloc *structs.Allocation) {
a.previousAlloc = alloc
}
func (a AllocPlaceResult) IsRescheduling() bool { return a.reschedule }
func (a AllocPlaceResult) StopPreviousAlloc() (bool, string) { return false, "" }
func (a AllocPlaceResult) DowngradeNonCanary() bool { return a.downgradeNonCanary }
func (a AllocPlaceResult) MinJobVersion() uint64 { return a.minJobVersion }
func (a AllocPlaceResult) PreviousLost() bool { return a.lost }
func (a *AllocPlaceResult) SetTaskGroup(tg *structs.TaskGroup) { a.taskGroup = tg }
// allocDestructiveResult contains the information required to do a destructive
// update. Destructive changes should be applied atomically, as in the old alloc
// is only stopped if the new one can be placed.
type allocDestructiveResult struct {
placeName string
placeTaskGroup *structs.TaskGroup
stopAlloc *structs.Allocation
stopStatusDescription string
}
func (a allocDestructiveResult) TaskGroup() *structs.TaskGroup { return a.placeTaskGroup }
func (a allocDestructiveResult) Name() string { return a.placeName }
func (a allocDestructiveResult) Canary() bool { return false }
func (a allocDestructiveResult) PreviousAllocation() *structs.Allocation { return a.stopAlloc }
func (a allocDestructiveResult) SetPreviousAllocation(alloc *structs.Allocation) {} // NOOP
func (a allocDestructiveResult) IsRescheduling() bool { return false }
func (a allocDestructiveResult) StopPreviousAlloc() (bool, string) {
return true, a.stopStatusDescription
}
func (a allocDestructiveResult) DowngradeNonCanary() bool { return false }
func (a allocDestructiveResult) MinJobVersion() uint64 { return 0 }
func (a allocDestructiveResult) PreviousLost() bool { return false }
// allocMatrix is a mapping of task groups to their allocation set.
type allocMatrix map[string]allocSet
// newAllocMatrix takes a job and the existing allocations for the job and
// creates an allocMatrix
func newAllocMatrix(job *structs.Job, allocs []*structs.Allocation) allocMatrix {
m := allocMatrix(make(map[string]allocSet))
for _, a := range allocs {
s, ok := m[a.TaskGroup]
if !ok {
s = make(allocSet)
m[a.TaskGroup] = s
}
s[a.ID] = a
}
if job != nil {
for _, tg := range job.TaskGroups {
if _, ok := m[tg.Name]; !ok {
m[tg.Name] = make(allocSet)
}
}
}
return m
}
// allocSet is a set of allocations with a series of helper functions defined
// that help reconcile state. Methods on allocSet named "filter" defined in
// filters.go never consume the allocSet but instead return one or more new
// allocSets.
type allocSet map[string]*structs.Allocation
// GoString provides a human readable view of the set
func (set allocSet) GoString() string {
if len(set) == 0 {
return "[]"
}
start := fmt.Sprintf("len(%d) [\n", len(set))
var s []string
for k, v := range set {
s = append(s, fmt.Sprintf("%q: %v", k, v.Name))
}
return start + strings.Join(s, "\n") + "]"
}
// nameSet returns the set of allocation names
func (set allocSet) nameSet() map[string]struct{} {
names := make(map[string]struct{}, len(set))
for _, alloc := range set {
names[alloc.Name] = struct{}{}
}
return names
}
// nameOrder returns the set of allocation names in sorted order
func (set allocSet) nameOrder() []*structs.Allocation {
allocs := make([]*structs.Allocation, 0, len(set))
for _, alloc := range set {
allocs = append(allocs, alloc)
}
sort.Slice(allocs, func(i, j int) bool {
return allocs[i].Index() < allocs[j].Index()
})
return allocs
}
// difference returns a new allocSet that has all the existing allocations
// except those contained within the other allocation sets
func (set allocSet) difference(others ...allocSet) allocSet {
diff := make(allocSet)
OUTER:
for k, v := range set {
for _, other := range others {
if _, ok := other[k]; ok {
continue OUTER
}
}
diff[k] = v
}
return diff
}
// union returns a new allocSet that has the union of the two allocSets.
// Conflicts prefer the last passed allocSet containing the allocation.
func (set allocSet) union(others ...allocSet) allocSet {
union := make(allocSet, len(set))
maps.Copy(union, set)
for _, other := range others {
maps.Copy(union, other)
}
return union
}
// fromKeys returns an new alloc set matching the passed keys
func (set allocSet) fromKeys(keys []string) allocSet {
from := make(allocSet)
for _, k := range keys {
if alloc, ok := set[k]; ok {
from[k] = alloc
}
}
return from
}
// update returns a new allocSet which copies this set but with updates for any
// alloc that's also in the "other" set
func (set allocSet) update(other allocSet) (updated allocSet) {
updated = updated.union(set)
for id, alloc := range other {
if _, ok := updated[id]; ok {
updated[id] = alloc
}
}
return updated
}
// AllocNameIndex is used to select allocation names for placement or removal
// given an existing set of placed allocations.
type AllocNameIndex struct {
job, taskGroup string
count int
b structs.Bitmap
// duplicates is used to store duplicate allocation indexes which are
// currently present within the index tracking. The map key is the index,
// and the current count of duplicates. The map is only accessed within a
// single routine and multiple times per job scheduler invocation,
// therefore no lock is used.
duplicates map[uint]int
}
// newAllocNameIndex returns an allocNameIndex for use in selecting names of
// allocations to create or stop. It takes the job and task group name, desired
// count and any existing allocations as input.
func newAllocNameIndex(job, taskGroup string, count int, in allocSet) *AllocNameIndex {
bitMap, duplicates := bitmapFrom(in, uint(count))
return &AllocNameIndex{
count: count,
b: bitMap,
job: job,
taskGroup: taskGroup,
duplicates: duplicates,
}
}
// bitmapFrom creates a bitmap from the given allocation set and a minimum size
// maybe given. The size of the bitmap is as the larger of the passed minimum
// and the maximum alloc index of the passed input (byte aligned).
func bitmapFrom(input allocSet, minSize uint) (structs.Bitmap, map[uint]int) {
var max uint
for _, a := range input {
if num := a.Index(); num > max {
max = num
}
}
if l := uint(len(input)); minSize < l {
minSize = l
}
if max < minSize {
max = minSize
} else if max%8 == 0 {
// This may be possible if the job was scaled down. We want to make sure
// that the max index is not byte-aligned otherwise we will overflow
// the bitmap.
max++
}
if max == 0 {
max = 8
}
// byteAlign the count
if remainder := max % 8; remainder != 0 {
max = max + 8 - remainder
}
bitmap, err := structs.NewBitmap(max)
if err != nil {
panic(err)
}
// Initialize our duplicates mapping, allowing us to store a non-nil map
// at the cost of 48 bytes.
duplicates := make(map[uint]int)
// Iterate through the allocSet input and hydrate the bitmap. We check that
// the bitmap does not contain the index first, so we can track duplicate
// entries.
for _, a := range input {
allocIndex := a.Index()
if bitmap.Check(allocIndex) {
duplicates[allocIndex]++
} else {
bitmap.Set(allocIndex)
}
}
return bitmap, duplicates
}
// Highest removes and returns the highest n used names. The returned set
// can be less than n if there aren't n names set in the index
func (a *AllocNameIndex) Highest(n uint) map[string]struct{} {
h := make(map[string]struct{}, n)
for i := a.b.Size(); i > uint(0) && uint(len(h)) < n; i-- {
// Use this to avoid wrapping around b/c of the unsigned int
idx := i - 1
if a.b.Check(idx) {
a.b.Unset(idx)
h[structs.AllocName(a.job, a.taskGroup, idx)] = struct{}{}
}
}
return h
}
// IsDuplicate checks whether the passed allocation index is duplicated within
// the tracking.
func (a *AllocNameIndex) IsDuplicate(idx uint) bool {
val, ok := a.duplicates[idx]
return ok && val > 0
}
// UnsetIndex unsets the index as having its name used
func (a *AllocNameIndex) UnsetIndex(idx uint) {
// If this index is a duplicate, remove the duplicate entry. Otherwise, we
// can remove it from the bitmap tracking.
if num, ok := a.duplicates[idx]; ok {
if num--; num == 0 {
delete(a.duplicates, idx)
}
} else {
a.b.Unset(idx)
}
}
// NextCanaries returns the next n names for use as canaries and sets them as
// used. The existing canaries and destructive updates are also passed in.
func (a *AllocNameIndex) NextCanaries(n uint, existing, destructive allocSet) []string {
next := make([]string, 0, n)
// Create a name index
existingNames := existing.nameSet()
// First select indexes from the allocations that are undergoing
// destructive updates. This way we avoid duplicate names as they will get
// replaced. As this process already takes into account duplicate checking,
// we can discard the duplicate mapping when generating the bitmap.
dmap, _ := bitmapFrom(destructive, uint(a.count))
remainder := n
for _, idx := range dmap.IndexesInRange(true, uint(0), uint(a.count)-1) {
name := structs.AllocName(a.job, a.taskGroup, uint(idx))
if _, used := existingNames[name]; !used {
next = append(next, name)
a.b.Set(uint(idx))
// If we have enough, return
remainder = n - uint(len(next))
if remainder == 0 {
return next
}
}
}
// Get the set of unset names that can be used
for _, idx := range a.b.IndexesInRange(false, uint(0), uint(a.count)-1) {
name := structs.AllocName(a.job, a.taskGroup, uint(idx))
if _, used := existingNames[name]; !used {
next = append(next, name)
a.b.Set(uint(idx))
// If we have enough, return
remainder = n - uint(len(next))
if remainder == 0 {
return next
}
}
}
// We have exhausted the preferred and free set. Pick starting from n to
// n+remainder, to avoid overlapping where possible. An example is the
// desired count is 3 and we want 5 canaries. The first 3 canaries can use
// index [0, 1, 2] but after that we prefer picking indexes [4, 5] so that
// we do not overlap. Once the canaries are promoted, these would be the
// allocations that would be shut down as well.
for i := uint(a.count); i < uint(a.count)+remainder; i++ {
name := structs.AllocName(a.job, a.taskGroup, i)
next = append(next, name)
}
return next
}
// Next returns the next n names for use as new placements and sets them as
// used.
func (a *AllocNameIndex) Next(n uint) []string {
next := make([]string, 0, n)
// Get the set of unset names that can be used
remainder := n
for _, idx := range a.b.IndexesInRange(false, uint(0), uint(a.count)-1) {
next = append(next, structs.AllocName(a.job, a.taskGroup, uint(idx)))
a.b.Set(uint(idx))
// If we have enough, return
remainder = n - uint(len(next))
if remainder == 0 {
return next
}
}
// We have exhausted the free set, now just pick overlapping indexes
var i uint
for i = 0; i < remainder; i++ {
next = append(next, structs.AllocName(a.job, a.taskGroup, i))
a.b.Set(i)
}
return next
}