package scheduler import ( "fmt" "math/rand" "reflect" "github.com/hashicorp/nomad/nomad/structs" ) // allocTuple is a tuple of the allocation name and potential alloc ID type allocTuple struct { Name string TaskGroup *structs.TaskGroup Alloc *structs.Allocation } // materializeTaskGroups is used to materialize all the task groups // a job requires. This is used to do the count expansion. func materializeTaskGroups(job *structs.Job) map[string]*structs.TaskGroup { out := make(map[string]*structs.TaskGroup) for _, tg := range job.TaskGroups { for i := 0; i < tg.Count; i++ { name := fmt.Sprintf("%s.%s[%d]", job.Name, tg.Name, i) out[name] = tg } } return out } // diffResult is used to return the sets that result from the diff type diffResult struct { place, update, migrate, stop, ignore []allocTuple } func (d *diffResult) GoString() string { return fmt.Sprintf("allocs: (place %d) (update %d) (migrate %d) (stop %d) (ignore %d)", len(d.place), len(d.update), len(d.migrate), len(d.stop), len(d.ignore)) } // diffAllocs is used to do a set difference between the target allocations // and the existing allocations. This returns 5 sets of results, the list of // named task groups that need to be placed (no existing allocation), the // allocations that need to be updated (job definition is newer), allocs that // need to be migrated (node is draining), the allocs that need to be evicted // (no longer required), and those that should be ignored. func diffAllocs(job *structs.Job, taintedNodes map[string]bool, required map[string]*structs.TaskGroup, allocs []*structs.Allocation) *diffResult { result := &diffResult{} // Scan the existing updates existing := make(map[string]struct{}) for _, exist := range allocs { // Index the existing node name := exist.Name existing[name] = struct{}{} // Check for the definition in the required set tg, ok := required[name] // If not required, we stop the alloc if !ok { result.stop = append(result.stop, allocTuple{ Name: name, TaskGroup: tg, Alloc: exist, }) continue } // If we are on a tainted node, we must migrate if taintedNodes[exist.NodeID] { result.migrate = append(result.migrate, allocTuple{ Name: name, TaskGroup: tg, Alloc: exist, }) continue } // If the definition is updated we need to update // XXX: This is an extremely conservative approach. We can check // if the job definition has changed in a way that affects // this allocation and potentially ignore it. if job.ModifyIndex != exist.Job.ModifyIndex { result.update = append(result.update, allocTuple{ Name: name, TaskGroup: tg, Alloc: exist, }) continue } // Everything is up-to-date result.ignore = append(result.ignore, allocTuple{ Name: name, TaskGroup: tg, Alloc: exist, }) } // Scan the required groups for name, tg := range required { // Check for an existing allocation _, ok := existing[name] // Require a placement if no existing allocation. If there // is an existing allocation, we would have checked for a potential // update or ignore above. if !ok { result.place = append(result.place, allocTuple{ Name: name, TaskGroup: tg, }) } } return result } // readyNodesInDCs returns all the ready nodes in the given datacenters func readyNodesInDCs(state State, dcs []string) ([]*structs.Node, error) { // Index the DCs dcMap := make(map[string]struct{}, len(dcs)) for _, dc := range dcs { dcMap[dc] = struct{}{} } // Scan the nodes var out []*structs.Node iter, err := state.Nodes() if err != nil { return nil, err } for { raw := iter.Next() if raw == nil { break } // Filter on datacenter and status node := raw.(*structs.Node) if node.Status != structs.NodeStatusReady { continue } if node.Drain { continue } if _, ok := dcMap[node.Datacenter]; !ok { continue } out = append(out, node) } return out, nil } // retryMax is used to retry a callback until it returns success or // a maximum number of attempts is reached func retryMax(max int, cb func() (bool, error)) error { attempts := 0 for attempts < max { done, err := cb() if err != nil { return err } if done { return nil } attempts += 1 } return &SetStatusError{ Err: fmt.Errorf("maximum attempts reached (%d)", max), EvalStatus: structs.EvalStatusFailed, } } // taintedNodes is used to scan the allocations and then check if the // underlying nodes are tainted, and should force a migration of the allocation. func taintedNodes(state State, allocs []*structs.Allocation) (map[string]bool, error) { out := make(map[string]bool) for _, alloc := range allocs { if _, ok := out[alloc.NodeID]; ok { continue } node, err := state.NodeByID(alloc.NodeID) if err != nil { return nil, err } // If the node does not exist, we should migrate if node == nil { out[alloc.NodeID] = true continue } out[alloc.NodeID] = structs.ShouldDrainNode(node.Status) || node.Drain } return out, nil } // shuffleNodes randomizes the slice order with the Fisher-Yates algorithm func shuffleNodes(nodes []*structs.Node) { n := len(nodes) for i := n - 1; i > 0; i-- { j := rand.Intn(i + 1) nodes[i], nodes[j] = nodes[j], nodes[i] } } // tasksUpdated does a diff between task groups to see if the // tasks, their drivers or config have updated. func tasksUpdated(a, b *structs.TaskGroup) bool { // If the number of tasks do not match, clearly there is an update if len(a.Tasks) != len(b.Tasks) { return true } // Check each task for _, at := range a.Tasks { bt := b.LookupTask(at.Name) if bt == nil { return true } if at.Driver != bt.Driver { return true } if !reflect.DeepEqual(at.Config, bt.Config) { return true } // Inspect the network to see if the resource ask is different if !reflect.DeepEqual(at.Resources.Networks, bt.Resources.Networks) { return true } } return false }