open-nomad/nomad/structs/funcs.go
2016-11-25 18:04:55 -08:00

339 lines
7.9 KiB
Go

package structs
import (
crand "crypto/rand"
"fmt"
"math"
)
// RemoveAllocs is used to remove any allocs with the given IDs
// from the list of allocations
func RemoveAllocs(alloc []*Allocation, remove []*Allocation) []*Allocation {
// Convert remove into a set
removeSet := make(map[string]struct{})
for _, remove := range remove {
removeSet[remove.ID] = struct{}{}
}
n := len(alloc)
for i := 0; i < n; i++ {
if _, ok := removeSet[alloc[i].ID]; ok {
alloc[i], alloc[n-1] = alloc[n-1], nil
i--
n--
}
}
alloc = alloc[:n]
return alloc
}
// FilterTerminalAllocs filters out all allocations in a terminal state and
// returns the latest terminal allocations
func FilterTerminalAllocs(allocs []*Allocation) ([]*Allocation, map[string]*Allocation) {
terminalAllocsByName := make(map[string]*Allocation)
n := len(allocs)
for i := 0; i < n; i++ {
if allocs[i].TerminalStatus() {
// Add the allocation to the terminal allocs map if it's not already
// added or has a higher create index than the one which is
// currently present.
alloc, ok := terminalAllocsByName[allocs[i].Name]
if !ok || alloc.CreateIndex < allocs[i].CreateIndex {
terminalAllocsByName[allocs[i].Name] = allocs[i]
}
// Remove the allocation
allocs[i], allocs[n-1] = allocs[n-1], nil
i--
n--
}
}
return allocs[:n], terminalAllocsByName
}
// AllocsFit checks if a given set of allocations will fit on a node.
// The netIdx can optionally be provided if its already been computed.
// If the netIdx is provided, it is assumed that the client has already
// ensured there are no collisions.
func AllocsFit(node *Node, allocs []*Allocation, netIdx *NetworkIndex) (bool, string, *Resources, error) {
// Compute the utilization from zero
used := new(Resources)
// Add the reserved resources of the node
if node.Reserved != nil {
if err := used.Add(node.Reserved); err != nil {
return false, "", nil, err
}
}
// For each alloc, add the resources
for _, alloc := range allocs {
if alloc.Resources != nil {
if err := used.Add(alloc.Resources); err != nil {
return false, "", nil, err
}
} else if alloc.TaskResources != nil {
// Adding the shared resource asks for the allocation to the used
// resources
if err := used.Add(alloc.SharedResources); err != nil {
return false, "", nil, err
}
// Allocations within the plan have the combined resources stripped
// to save space, so sum up the individual task resources.
for _, taskResource := range alloc.TaskResources {
if err := used.Add(taskResource); err != nil {
return false, "", nil, err
}
}
} else {
return false, "", nil, fmt.Errorf("allocation %q has no resources set", alloc.ID)
}
}
// Check that the node resources are a super set of those
// that are being allocated
if superset, dimension := node.Resources.Superset(used); !superset {
return false, dimension, used, nil
}
// Create the network index if missing
if netIdx == nil {
netIdx = NewNetworkIndex()
defer netIdx.Release()
if netIdx.SetNode(node) || netIdx.AddAllocs(allocs) {
return false, "reserved port collision", used, nil
}
}
// Check if the network is overcommitted
if netIdx.Overcommitted() {
return false, "bandwidth exceeded", used, nil
}
// Allocations fit!
return true, "", used, nil
}
// ScoreFit is used to score the fit based on the Google work published here:
// http://www.columbia.edu/~cs2035/courses/ieor4405.S13/datacenter_scheduling.ppt
// This is equivalent to their BestFit v3
func ScoreFit(node *Node, util *Resources) float64 {
// Determine the node availability
nodeCpu := float64(node.Resources.CPU)
if node.Reserved != nil {
nodeCpu -= float64(node.Reserved.CPU)
}
nodeMem := float64(node.Resources.MemoryMB)
if node.Reserved != nil {
nodeMem -= float64(node.Reserved.MemoryMB)
}
// Compute the free percentage
freePctCpu := 1 - (float64(util.CPU) / nodeCpu)
freePctRam := 1 - (float64(util.MemoryMB) / nodeMem)
// Total will be "maximized" the smaller the value is.
// At 100% utilization, the total is 2, while at 0% util it is 20.
total := math.Pow(10, freePctCpu) + math.Pow(10, freePctRam)
// Invert so that the "maximized" total represents a high-value
// score. Because the floor is 20, we simply use that as an anchor.
// This means at a perfect fit, we return 18 as the score.
score := 20.0 - total
// Bound the score, just in case
// If the score is over 18, that means we've overfit the node.
if score > 18.0 {
score = 18.0
} else if score < 0 {
score = 0
}
return score
}
// GenerateUUID is used to generate a random UUID
func GenerateUUID() string {
buf := make([]byte, 16)
if _, err := crand.Read(buf); err != nil {
panic(fmt.Errorf("failed to read random bytes: %v", err))
}
return fmt.Sprintf("%08x-%04x-%04x-%04x-%12x",
buf[0:4],
buf[4:6],
buf[6:8],
buf[8:10],
buf[10:16])
}
// Helpers for copying generic structures.
func CopyMapStringString(m map[string]string) map[string]string {
l := len(m)
if l == 0 {
return nil
}
c := make(map[string]string, l)
for k, v := range m {
c[k] = v
}
return c
}
func CopyMapStringInt(m map[string]int) map[string]int {
l := len(m)
if l == 0 {
return nil
}
c := make(map[string]int, l)
for k, v := range m {
c[k] = v
}
return c
}
func CopyMapStringFloat64(m map[string]float64) map[string]float64 {
l := len(m)
if l == 0 {
return nil
}
c := make(map[string]float64, l)
for k, v := range m {
c[k] = v
}
return c
}
func CopySliceString(s []string) []string {
l := len(s)
if l == 0 {
return nil
}
c := make([]string, l)
for i, v := range s {
c[i] = v
}
return c
}
func CopySliceInt(s []int) []int {
l := len(s)
if l == 0 {
return nil
}
c := make([]int, l)
for i, v := range s {
c[i] = v
}
return c
}
func CopySliceConstraints(s []*Constraint) []*Constraint {
l := len(s)
if l == 0 {
return nil
}
c := make([]*Constraint, l)
for i, v := range s {
c[i] = v.Copy()
}
return c
}
// SliceStringIsSubset returns whether the smaller set of strings is a subset of
// the larger. If the smaller slice is not a subset, the offending elements are
// returned.
func SliceStringIsSubset(larger, smaller []string) (bool, []string) {
largerSet := make(map[string]struct{}, len(larger))
for _, l := range larger {
largerSet[l] = struct{}{}
}
subset := true
var offending []string
for _, s := range smaller {
if _, ok := largerSet[s]; !ok {
subset = false
offending = append(offending, s)
}
}
return subset, offending
}
func SliceSetDisjoint(first, second []string) (bool, []string) {
contained := make(map[string]struct{}, len(first))
for _, k := range first {
contained[k] = struct{}{}
}
offending := make(map[string]struct{})
for _, k := range second {
if _, ok := contained[k]; ok {
offending[k] = struct{}{}
}
}
if len(offending) == 0 {
return true, nil
}
flattened := make([]string, 0, len(offending))
for k := range offending {
flattened = append(flattened, k)
}
return false, flattened
}
// VaultPoliciesSet takes the structure returned by VaultPolicies and returns
// the set of required policies
func VaultPoliciesSet(policies map[string]map[string]*Vault) []string {
set := make(map[string]struct{})
for _, tgp := range policies {
for _, tp := range tgp {
for _, p := range tp.Policies {
set[p] = struct{}{}
}
}
}
flattened := make([]string, 0, len(set))
for p := range set {
flattened = append(flattened, p)
}
return flattened
}
// MapStringStringSliceValueSet returns the set of values in a map[string][]string
func MapStringStringSliceValueSet(m map[string][]string) []string {
set := make(map[string]struct{})
for _, slice := range m {
for _, v := range slice {
set[v] = struct{}{}
}
}
flat := make([]string, 0, len(set))
for k := range set {
flat = append(flat, k)
}
return flat
}
func SliceStringToSet(s []string) map[string]struct{} {
m := make(map[string]struct{}, (len(s)+1)/2)
for _, k := range s {
m[k] = struct{}{}
}
return m
}