open-nomad/nomad/structs/funcs.go

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package structs
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import (
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"crypto/subtle"
"encoding/base64"
"encoding/binary"
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"fmt"
"math"
"sort"
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"strconv"
"strings"
multierror "github.com/hashicorp/go-multierror"
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lru "github.com/hashicorp/golang-lru"
"github.com/hashicorp/nomad/acl"
"golang.org/x/crypto/blake2b"
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)
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// MergeMultierrorWarnings takes job warnings and canonicalize warnings and
// merges them into a returnable string. Both the errors may be nil.
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func MergeMultierrorWarnings(warnings ...error) string {
var warningMsg multierror.Error
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for _, warn := range warnings {
if warn != nil {
multierror.Append(&warningMsg, warn)
}
}
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if len(warningMsg.Errors) == 0 {
return ""
}
// Set the formatter
warningMsg.ErrorFormat = warningsFormatter
return warningMsg.Error()
}
// warningsFormatter is used to format job warnings
func warningsFormatter(es []error) string {
points := make([]string, len(es))
for i, err := range es {
points[i] = fmt.Sprintf("* %s", err)
}
return fmt.Sprintf(
"%d warning(s):\n\n%s",
len(es), strings.Join(points, "\n"))
}
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// RemoveAllocs is used to remove any allocs with the given IDs
// from the list of allocations
func RemoveAllocs(alloc []*Allocation, remove []*Allocation) []*Allocation {
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// Convert remove into a set
removeSet := make(map[string]struct{})
for _, remove := range remove {
removeSet[remove.ID] = struct{}{}
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}
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
}
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// FilterTerminalAllocs filters out all allocations in a terminal state and
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// returns the latest terminal allocations
func FilterTerminalAllocs(allocs []*Allocation) ([]*Allocation, map[string]*Allocation) {
terminalAllocsByName := make(map[string]*Allocation)
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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
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allocs[i], allocs[n-1] = allocs[n-1], nil
i--
n--
}
}
return allocs[:n], terminalAllocsByName
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}
// 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. If checkDevices is set to true, we check if
// there is a device oversubscription.
func AllocsFit(node *Node, allocs []*Allocation, netIdx *NetworkIndex, checkDevices bool) (bool, string, *ComparableResources, error) {
core: fix node reservation scoring The BinPackIter accounted for node reservations twice when scoring nodes which could bias scores toward nodes with reservations. Pseudo-code for previous algorithm: ``` proposed = reservedResources + sum(allocsResources) available = nodeResources - reservedResources score = 1 - (proposed / available) ``` The node's reserved resources are added to the total resources used by allocations, and then the node's reserved resources are later substracted from the node's overall resources. The new algorithm is: ``` proposed = sum(allocResources) available = nodeResources - reservedResources score = 1 - (proposed / available) ``` The node's reserved resources are no longer added to the total resources used by allocations. My guess as to how this bug happened is that the resource utilization variable (`util`) is calculated and returned by the `AllocsFit` function which needs to take reserved resources into account as a basic feasibility check. To avoid re-calculating alloc resource usage (because there may be a large number of allocs), we reused `util` in the `ScoreFit` function. `ScoreFit` properly accounts for reserved resources by subtracting them from the node's overall resources. However since `util` _also_ took reserved resources into account the score would be incorrect. Prior to the fix the added test output: ``` Node: reserved Score: 1.0000 Node: reserved2 Score: 1.0000 Node: no-reserved Score: 0.9741 ``` The scores being 1.0 for *both* nodes with reserved resources is a good hint something is wrong as they should receive different scores. Upon further inspection the double accounting of reserved resources caused their scores to be >1.0 and clamped. After the fix the added test outputs: ``` Node: no-reserved Score: 0.9741 Node: reserved Score: 0.9480 Node: reserved2 Score: 0.8717 ```
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// Compute the allocs' utilization from zero
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used := new(ComparableResources)
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// For each alloc, add the resources
for _, alloc := range allocs {
// Do not consider the resource impact of terminal allocations
if alloc.TerminalStatus() {
continue
}
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used.Add(alloc.ComparableResources())
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}
core: fix node reservation scoring The BinPackIter accounted for node reservations twice when scoring nodes which could bias scores toward nodes with reservations. Pseudo-code for previous algorithm: ``` proposed = reservedResources + sum(allocsResources) available = nodeResources - reservedResources score = 1 - (proposed / available) ``` The node's reserved resources are added to the total resources used by allocations, and then the node's reserved resources are later substracted from the node's overall resources. The new algorithm is: ``` proposed = sum(allocResources) available = nodeResources - reservedResources score = 1 - (proposed / available) ``` The node's reserved resources are no longer added to the total resources used by allocations. My guess as to how this bug happened is that the resource utilization variable (`util`) is calculated and returned by the `AllocsFit` function which needs to take reserved resources into account as a basic feasibility check. To avoid re-calculating alloc resource usage (because there may be a large number of allocs), we reused `util` in the `ScoreFit` function. `ScoreFit` properly accounts for reserved resources by subtracting them from the node's overall resources. However since `util` _also_ took reserved resources into account the score would be incorrect. Prior to the fix the added test output: ``` Node: reserved Score: 1.0000 Node: reserved2 Score: 1.0000 Node: no-reserved Score: 0.9741 ``` The scores being 1.0 for *both* nodes with reserved resources is a good hint something is wrong as they should receive different scores. Upon further inspection the double accounting of reserved resources caused their scores to be >1.0 and clamped. After the fix the added test outputs: ``` Node: no-reserved Score: 0.9741 Node: reserved Score: 0.9480 Node: reserved2 Score: 0.8717 ```
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// Check that the node resources (after subtracting reserved) are a
// super set of those that are being allocated
available := node.ComparableResources()
available.Subtract(node.ComparableReservedResources())
if superset, dimension := available.Superset(used); !superset {
return false, dimension, used, nil
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}
// 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
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}
// Check devices
if checkDevices {
accounter := NewDeviceAccounter(node)
if accounter.AddAllocs(allocs) {
return false, "device oversubscribed", used, nil
}
}
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// Allocations fit!
return true, "", used, nil
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}
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func computeFreePercentage(node *Node, util *ComparableResources) (freePctCpu, freePctRam float64) {
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// COMPAT(0.11): Remove in 0.11
reserved := node.ComparableReservedResources()
res := node.ComparableResources()
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// Determine the node availability
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nodeCpu := float64(res.Flattened.Cpu.CpuShares)
nodeMem := float64(res.Flattened.Memory.MemoryMB)
if reserved != nil {
nodeCpu -= float64(reserved.Flattened.Cpu.CpuShares)
nodeMem -= float64(reserved.Flattened.Memory.MemoryMB)
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}
// Compute the free percentage
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freePctCpu = 1 - (float64(util.Flattened.Cpu.CpuShares) / nodeCpu)
freePctRam = 1 - (float64(util.Flattened.Memory.MemoryMB) / nodeMem)
return freePctCpu, freePctRam
}
// ScoreFitBinPack computes a fit score to achieve pinbacking behavior.
// Score is in [0, 18]
//
// It's the BestFit v3 on the Google work published here:
// http://www.columbia.edu/~cs2035/courses/ieor4405.S13/datacenter_scheduling.ppt
func ScoreFitBinPack(node *Node, util *ComparableResources) float64 {
freePctCpu, freePctRam := computeFreePercentage(node, util)
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// 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
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}
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// ScoreFitBinSpread computes a fit score to achieve spread behavior.
// Score is in [0, 18]
//
// This is equivalent to Worst Fit of
// http://www.columbia.edu/~cs2035/courses/ieor4405.S13/datacenter_scheduling.ppt
func ScoreFitSpread(node *Node, util *ComparableResources) float64 {
freePctCpu, freePctRam := computeFreePercentage(node, util)
total := math.Pow(10, freePctCpu) + math.Pow(10, freePctRam)
score := total - 2
if score > 18.0 {
score = 18.0
} else if score < 0 {
score = 0
}
return score
}
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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
}
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func CopySliceAffinities(s []*Affinity) []*Affinity {
l := len(s)
if l == 0 {
return nil
}
c := make([]*Affinity, l)
for i, v := range s {
c[i] = v.Copy()
}
return c
}
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func CopySliceSpreads(s []*Spread) []*Spread {
l := len(s)
if l == 0 {
return nil
}
c := make([]*Spread, l)
for i, v := range s {
c[i] = v.Copy()
}
return c
}
func CopySliceSpreadTarget(s []*SpreadTarget) []*SpreadTarget {
l := len(s)
if l == 0 {
return nil
}
c := make([]*SpreadTarget, l)
for i, v := range s {
c[i] = v.Copy()
}
return c
}
func CopySliceNodeScoreMeta(s []*NodeScoreMeta) []*NodeScoreMeta {
l := len(s)
if l == 0 {
return nil
}
c := make([]*NodeScoreMeta, l)
for i, v := range s {
c[i] = v.Copy()
}
return c
}
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// VaultPoliciesSet takes the structure returned by VaultPolicies and returns
// the set of required policies
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func VaultPoliciesSet(policies map[string]map[string]*Vault) []string {
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set := make(map[string]struct{})
for _, tgp := range policies {
for _, tp := range tgp {
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for _, p := range tp.Policies {
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set[p] = struct{}{}
}
}
}
flattened := make([]string, 0, len(set))
for p := range set {
flattened = append(flattened, p)
}
return flattened
}
// VaultNaVaultNamespaceSet takes the structure returned by VaultPolicies and
// returns a set of required namespaces
func VaultNamespaceSet(policies map[string]map[string]*Vault) []string {
set := make(map[string]struct{})
for _, tgp := range policies {
for _, tp := range tgp {
if tp.Namespace != "" {
set[tp.Namespace] = struct{}{}
}
}
}
flattened := make([]string, 0, len(set))
for p := range set {
flattened = append(flattened, p)
}
return flattened
}
// DenormalizeAllocationJobs is used to attach a job to all allocations that are
// non-terminal and do not have a job already. This is useful in cases where the
// job is normalized.
func DenormalizeAllocationJobs(job *Job, allocs []*Allocation) {
if job != nil {
for _, alloc := range allocs {
if alloc.Job == nil && !alloc.TerminalStatus() {
alloc.Job = job
}
}
}
}
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// AllocName returns the name of the allocation given the input.
func AllocName(job, group string, idx uint) string {
return fmt.Sprintf("%s.%s[%d]", job, group, idx)
}
// ACLPolicyListHash returns a consistent hash for a set of policies.
func ACLPolicyListHash(policies []*ACLPolicy) string {
cacheKeyHash, err := blake2b.New256(nil)
if err != nil {
panic(err)
}
for _, policy := range policies {
cacheKeyHash.Write([]byte(policy.Name))
binary.Write(cacheKeyHash, binary.BigEndian, policy.ModifyIndex)
}
cacheKey := string(cacheKeyHash.Sum(nil))
return cacheKey
}
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// CompileACLObject compiles a set of ACL policies into an ACL object with a cache
func CompileACLObject(cache *lru.TwoQueueCache, policies []*ACLPolicy) (*acl.ACL, error) {
// Sort the policies to ensure consistent ordering
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sort.Slice(policies, func(i, j int) bool {
return policies[i].Name < policies[j].Name
})
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// Determine the cache key
cacheKey := ACLPolicyListHash(policies)
aclRaw, ok := cache.Get(cacheKey)
if ok {
return aclRaw.(*acl.ACL), nil
}
// Parse the policies
parsed := make([]*acl.Policy, 0, len(policies))
for _, policy := range policies {
p, err := acl.Parse(policy.Rules)
if err != nil {
return nil, fmt.Errorf("failed to parse %q: %v", policy.Name, err)
}
parsed = append(parsed, p)
}
// Create the ACL object
aclObj, err := acl.NewACL(false, parsed)
if err != nil {
return nil, fmt.Errorf("failed to construct ACL: %v", err)
}
// Update the cache
cache.Add(cacheKey, aclObj)
return aclObj, nil
}
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// GenerateMigrateToken will create a token for a client to access an
// authenticated volume of another client to migrate data for sticky volumes.
func GenerateMigrateToken(allocID, nodeSecretID string) (string, error) {
h, err := blake2b.New512([]byte(nodeSecretID))
if err != nil {
return "", err
}
h.Write([]byte(allocID))
return base64.URLEncoding.EncodeToString(h.Sum(nil)), nil
}
// CompareMigrateToken returns true if two migration tokens can be computed and
// are equal.
func CompareMigrateToken(allocID, nodeSecretID, otherMigrateToken string) bool {
h, err := blake2b.New512([]byte(nodeSecretID))
if err != nil {
return false
}
h.Write([]byte(allocID))
otherBytes, err := base64.URLEncoding.DecodeString(otherMigrateToken)
if err != nil {
return false
}
return subtle.ConstantTimeCompare(h.Sum(nil), otherBytes) == 1
}
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// ParsePortRanges parses the passed port range string and returns a list of the
// ports. The specification is a comma separated list of either port numbers or
// port ranges. A port number is a single integer and a port range is two
// integers separated by a hyphen. As an example the following spec would
// convert to: ParsePortRanges("10,12-14,16") -> []uint64{10, 12, 13, 14, 16}
func ParsePortRanges(spec string) ([]uint64, error) {
parts := strings.Split(spec, ",")
// Hot path the empty case
if len(parts) == 1 && parts[0] == "" {
return nil, nil
}
ports := make(map[uint64]struct{})
for _, part := range parts {
part = strings.TrimSpace(part)
rangeParts := strings.Split(part, "-")
l := len(rangeParts)
switch l {
case 1:
if val := rangeParts[0]; val == "" {
return nil, fmt.Errorf("can't specify empty port")
} else {
port, err := strconv.ParseUint(val, 10, 0)
if err != nil {
return nil, err
}
ports[port] = struct{}{}
}
case 2:
// We are parsing a range
start, err := strconv.ParseUint(rangeParts[0], 10, 0)
if err != nil {
return nil, err
}
end, err := strconv.ParseUint(rangeParts[1], 10, 0)
if err != nil {
return nil, err
}
if end < start {
return nil, fmt.Errorf("invalid range: starting value (%v) less than ending (%v) value", end, start)
}
for i := start; i <= end; i++ {
ports[i] = struct{}{}
}
default:
return nil, fmt.Errorf("can only parse single port numbers or port ranges (ex. 80,100-120,150)")
}
}
var results []uint64
for port := range ports {
results = append(results, port)
}
sort.Slice(results, func(i, j int) bool {
return results[i] < results[j]
})
return results, nil
}