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package balance
import (
"fmt"
"math"
"sort"
"time"
"github.com/seaweedfs/seaweedfs/weed/admin/topology"
"github.com/seaweedfs/seaweedfs/weed/glog"
"github.com/seaweedfs/seaweedfs/weed/pb/worker_pb"
"github.com/seaweedfs/seaweedfs/weed/storage/super_block"
"github.com/seaweedfs/seaweedfs/weed/topology/balancer"
"github.com/seaweedfs/seaweedfs/weed/util/wildcard"
"github.com/seaweedfs/seaweedfs/weed/worker/tasks/base"
"github.com/seaweedfs/seaweedfs/weed/worker/tasks/util"
"github.com/seaweedfs/seaweedfs/weed/worker/types"
)
// Detection implements the detection logic for balance tasks.
// maxResults limits how many balance operations are returned per invocation.
// A non-positive maxResults means no explicit limit (uses a large default).
// The returned truncated flag is true when detection stopped because it hit
// maxResults rather than running out of work.
func Detection(metrics []*types.VolumeHealthMetrics, clusterInfo *types.ClusterInfo, config base.TaskConfig, maxResults int) ([]*types.TaskDetectionResult, bool, error) {
if !config.IsEnabled() {
return nil, false, nil
}
if clusterInfo == nil {
return nil, false, nil
}
balanceConfig := config.(*Config)
if maxResults <= 0 {
maxResults = math.MaxInt32
}
// Group volumes by disk type to ensure we compare apples to apples.
// Remote-tiered volumes are skipped: a "move" copies .idx/.vif then
// Volume.Destroy on the source deletes the remote object the destination
// now points at. Mirrors shell/command_volume_balance.go.
volumesByDiskType := make(map[string][]*types.VolumeHealthMetrics)
for _, metric := range metrics {
if metric.HasRemoteCopy {
continue
}
volumesByDiskType[metric.DiskType] = append(volumesByDiskType[metric.DiskType], metric)
}
// Sort disk types for deterministic iteration order when maxResults
// spans multiple disk types.
diskTypes := make([]string, 0, len(volumesByDiskType))
for dt := range volumesByDiskType {
diskTypes = append(diskTypes, dt)
}
sort.Strings(diskTypes)
var allParams []*types.TaskDetectionResult
truncated := false
for _, diskType := range diskTypes {
remaining := maxResults - len(allParams)
if remaining <= 0 {
truncated = true
break
}
tasks, diskTruncated := detectForDiskType(diskType, volumesByDiskType[diskType], balanceConfig, clusterInfo, remaining)
allParams = append(allParams, tasks...)
if diskTruncated {
truncated = true
}
}
return allParams, truncated, nil
}
// detectForDiskType performs balance detection for a specific disk type,
// returning up to maxResults balance tasks and whether it was truncated by the limit.
func detectForDiskType(diskType string, diskMetrics []*types.VolumeHealthMetrics, balanceConfig *Config, clusterInfo *types.ClusterInfo, maxResults int) ([]*types.TaskDetectionResult, bool) {
// Skip if cluster segment is too small
minVolumeCount := 2 // More reasonable for small clusters
if len(diskMetrics) < minVolumeCount {
// Only log at verbose level to avoid spamming for small/empty disk types
glog.V(1).Infof("BALANCE [%s]: No tasks created - cluster too small (%d volumes, need ≥%d)", diskType, len(diskMetrics), minVolumeCount)
return nil, false
}
// Analyze volume distribution across servers.
// Seed from ActiveTopology so servers with matching disk type but zero
// volumes are included in the count and imbalance calculation.
// Also collect MaxVolumeCount per server to compute utilization ratios.
serverVolumeCounts := make(map[string]int)
serverMaxVolumes := make(map[string]int64)
serverDiskTotalBytes := make(map[string]uint64)
serverDiskFreeBytes := make(map[string]uint64)
if clusterInfo.ActiveTopology != nil {
topologyInfo := clusterInfo.ActiveTopology.GetTopologyInfo()
if topologyInfo != nil {
dcMatchers := wildcard.CompileWildcardMatchers(balanceConfig.DataCenterFilter)
rackMatchers := wildcard.CompileWildcardMatchers(balanceConfig.RackFilter)
nodeMatchers := wildcard.CompileWildcardMatchers(balanceConfig.NodeFilter)
for _, dc := range topologyInfo.DataCenterInfos {
if !wildcard.MatchesAnyWildcard(dcMatchers, dc.Id) {
continue
}
for _, rack := range dc.RackInfos {
if !wildcard.MatchesAnyWildcard(rackMatchers, rack.Id) {
continue
}
for _, node := range rack.DataNodeInfos {
if !wildcard.MatchesAnyWildcard(nodeMatchers, node.Id) {
continue
}
for diskTypeName, diskInfo := range node.DiskInfos {
if diskTypeName == diskType {
serverVolumeCounts[node.Id] = 0
serverMaxVolumes[node.Id] += diskInfo.MaxVolumeCount
serverDiskTotalBytes[node.Id] += diskInfo.DiskTotalBytes
serverDiskFreeBytes[node.Id] += diskInfo.DiskFreeBytes
}
}
}
}
}
}
}
hasLocationFilter := balanceConfig.DataCenterFilter != "" || balanceConfig.RackFilter != "" || balanceConfig.NodeFilter != ""
for _, metric := range diskMetrics {
if hasLocationFilter {
// Only count metrics for servers that passed filtering.
// Without this guard, out-of-scope servers are re-introduced.
if _, allowed := serverVolumeCounts[metric.Server]; !allowed {
continue
}
}
serverVolumeCounts[metric.Server]++
}
if len(serverVolumeCounts) < balanceConfig.MinServerCount {
glog.V(1).Infof("BALANCE [%s]: No tasks created - too few servers (%d servers, need ≥%d)", diskType, len(serverVolumeCounts), balanceConfig.MinServerCount)
return nil, false
}
// Seed adjustments from existing pending/assigned balance tasks so that
// effectiveCounts reflects in-flight moves and prevents over-scheduling.
var adjustments map[string]int
if clusterInfo.ActiveTopology != nil {
adjustments = clusterInfo.ActiveTopology.GetTaskServerAdjustments(topology.TaskTypeBalance)
}
if adjustments == nil {
adjustments = make(map[string]int)
}
// Servers where we can no longer find eligible volumes or plan destinations
exhaustedServers := make(map[string]bool)
// Sort servers for deterministic iteration and tie-breaking
sortedServers := make([]string, 0, len(serverVolumeCounts))
for server := range serverVolumeCounts {
sortedServers = append(sortedServers, server)
}
sort.Strings(sortedServers)
// Pre-index volumes by server with cursors to avoid O(maxResults * volumes) scanning.
// Sort each server's volumes by VolumeID for deterministic selection.
volumesByServer := make(map[string][]*types.VolumeHealthMetrics, len(serverVolumeCounts))
for _, metric := range diskMetrics {
volumesByServer[metric.Server] = append(volumesByServer[metric.Server], metric)
}
for _, vols := range volumesByServer {
sort.Slice(vols, func(i, j int) bool {
return vols[i].VolumeID < vols[j].VolumeID
})
}
serverCursors := make(map[string]int, len(serverVolumeCounts))
var results []*types.TaskDetectionResult
balanced := false
// Decide upfront whether all servers have MaxVolumeCount info.
// If any server is missing it, fall back to raw counts for ALL servers
// to avoid mixing utilization ratios (0.0–1.0) with raw counts.
allServersHaveMaxInfo := true
for _, server := range sortedServers {
if maxVol, ok := serverMaxVolumes[server]; !ok || maxVol <= 0 {
allServersHaveMaxInfo = false
glog.V(1).Infof("BALANCE [%s]: Server %s is missing MaxVolumeCount info, falling back to raw volume counts for balancing", diskType, server)
break
}
}
var serverUtilization func(server string, effectiveCount int) float64
if allServersHaveMaxInfo {
serverUtilization = func(server string, effectiveCount int) float64 {
return float64(effectiveCount) / float64(serverMaxVolumes[server])
}
} else {
serverUtilization = func(_ string, effectiveCount int) float64 {
return float64(effectiveCount)
}
}
// plannedBytes tracks data already routed to each destination earlier in this
// detection cycle, so the disk-fullness gate sees a target fill up as moves are
// planned instead of only its heartbeat-time free space (the shell equivalent
// is adjustAfterMove decrementing DiskFreeBytes).
plannedBytes := make(map[string]uint64)
// destinationFull excludes servers a projected move would push over, for the cycle.
destinationFull := make(map[string]bool)
// destinationDiskTooFull reports whether landing incomingBytes on server would put
// its disk at/over the mark, net of bytes already planned this cycle; unreported
// disks are never gated.
destinationDiskTooFull := func(server string, incomingBytes uint64) bool {
free := serverDiskFreeBytes[server]
if planned := plannedBytes[server]; planned < free {
free -= planned
} else {
free = 0
}
return balancer.DiskTooFullAfter(serverDiskTotalBytes[server], free, incomingBytes, balancer.DefaultMaxDiskUsagePercent)
}
for len(results) < maxResults {
// Compute effective volume counts with adjustments from planned moves
effectiveCounts := make(map[string]int, len(serverVolumeCounts))
for server, count := range serverVolumeCounts {
effective := count + adjustments[server]
if effective < 0 {
effective = 0
}
effectiveCounts[server] = effective
}
// Find the most and least utilized servers using utilization ratio
// (volumes / maxVolumes) so that servers with higher capacity are
// expected to hold proportionally more volumes.
maxUtilization := -1.0
minUtilization := math.Inf(1)
maxServer := ""
minServer := ""
for _, server := range sortedServers {
count := effectiveCounts[server]
util := serverUtilization(server, count)
// Min is the emptiest server that can actually receive a volume, so a
// physically full server (whose over-set maxVolumeCount makes its slot
// utilization look low) is never chosen as the destination.
if !destinationFull[server] && !destinationDiskTooFull(server, 0) && util < minUtilization {
minUtilization = util
minServer = server
}
// Max is only among non-exhausted servers since we can only move from them
if exhaustedServers[server] {
continue
}
if util > maxUtilization {
maxUtilization = util
maxServer = server
}
}
if maxServer == "" {
// All servers exhausted
glog.V(1).Infof("BALANCE [%s]: All overloaded servers exhausted after %d task(s)", diskType, len(results))
break
}
if minServer == "" {
// Every candidate destination is at/above the physical disk high-water
// mark, so no move can safely improve balance.
glog.V(1).Infof("BALANCE [%s]: No eligible destination - all candidates at/above %d%% disk usage after %d task(s)", diskType, balancer.DefaultMaxDiskUsagePercent, len(results))
break
}
// Check if utilization imbalance exceeds threshold.
// imbalanceRatio is the difference between the most and least utilized
// servers, expressed as a fraction of mean utilization.
avgUtilization := (maxUtilization + minUtilization) / 2.0
var imbalanceRatio float64
if avgUtilization > 0 {
imbalanceRatio = (maxUtilization - minUtilization) / avgUtilization
}
if imbalanceRatio <= balanceConfig.ImbalanceThreshold {
if len(results) == 0 {
glog.Infof("BALANCE [%s]: No tasks created - cluster well balanced. Imbalance=%.1f%% (threshold=%.1f%%). MaxUtil=%.1f%% on %s, MinUtil=%.1f%% on %s",
diskType, imbalanceRatio*100, balanceConfig.ImbalanceThreshold*100, maxUtilization*100, maxServer, minUtilization*100, minServer)
} else {
glog.Infof("BALANCE [%s]: Created %d task(s), cluster now balanced. Imbalance=%.1f%% (threshold=%.1f%%)",
diskType, len(results), imbalanceRatio*100, balanceConfig.ImbalanceThreshold*100)
}
balanced = true
break
}
// When the global max and min effective counts differ by at most 1,
// no single move can improve balance — it would just swap which server
// is min vs max. Stop here to avoid infinite oscillation when the
// threshold is unachievable (e.g., 11 vols across 4 servers: best is
// 3/3/3/2, imbalance=36%). We scan ALL servers' effective counts so the
// check works regardless of whether utilization or raw counts are used.
globalMaxCount, globalMinCount := 0, math.MaxInt
for _, c := range effectiveCounts {
if c > globalMaxCount {
globalMaxCount = c
}
if c < globalMinCount {
globalMinCount = c
}
}
if globalMaxCount-globalMinCount <= 1 {
if len(results) == 0 {
glog.Infof("BALANCE [%s]: No tasks created - cluster as balanced as possible. Imbalance=%.1f%% (threshold=%.1f%%), but max-min diff is %d",
diskType, imbalanceRatio*100, balanceConfig.ImbalanceThreshold*100, globalMaxCount-globalMinCount)
} else {
glog.Infof("BALANCE [%s]: Created %d task(s), cluster as balanced as possible. Imbalance=%.1f%% (threshold=%.1f%%), max-min diff=%d",
diskType, len(results), imbalanceRatio*100, balanceConfig.ImbalanceThreshold*100, globalMaxCount-globalMinCount)
}
balanced = true
break
}
// Per-move convergence guard: mirrors weed/shell/command_volume_balance.go
// to prevent oscillation and destination overshoot when MaxVolumeCount
// values are heterogeneous. Without this guard, the greedy max→min
// algorithm can schedule moves that flip which server is most-utilized
// (source becomes min, destination becomes max), producing A→B, B→A
// oscillation within a single detection cycle.
//
// Check: after the move, the destination's utilization must not strictly
// exceed the source's utilization. If it would, no single move can
// improve balance — stop here. This also handles heterogeneous capacity
// correctly by comparing post-move utilization ratios rather than raw
// counts. The integer discretization is handled automatically: when
// counts cannot match the ideal exactly, the check still admits moves
// that reduce the max/min gap without flipping it.
maxCap := serverMaxVolumes[maxServer]
minCap := serverMaxVolumes[minServer]
if allServersHaveMaxInfo && maxCap > 0 && minCap > 0 {
newSrcUtil := float64(effectiveCounts[maxServer]-1) / float64(maxCap)
newDstUtil := float64(effectiveCounts[minServer]+1) / float64(minCap)
if newDstUtil > newSrcUtil {
if len(results) == 0 {
glog.Infof("BALANCE [%s]: No tasks created - no beneficial move available. After move, dest %s util would be %.1f%% vs source %s util %.1f%%",
diskType, minServer, newDstUtil*100, maxServer, newSrcUtil*100)
} else {
glog.Infof("BALANCE [%s]: Created %d task(s), no more beneficial moves available. After move, dest %s util would be %.1f%% vs source %s util %.1f%%",
diskType, len(results), minServer, newDstUtil*100, maxServer, newSrcUtil*100)
}
balanced = true
break
}
}
// Select a volume from the overloaded server using per-server cursor
var selectedVolume *types.VolumeHealthMetrics
serverVols := volumesByServer[maxServer]
cursor := serverCursors[maxServer]
for cursor < len(serverVols) {
metric := serverVols[cursor]
cursor++
// Skip volumes that already have a task in ActiveTopology
if clusterInfo.ActiveTopology != nil && clusterInfo.ActiveTopology.HasAnyTask(metric.VolumeID) {
continue
}
selectedVolume = metric
break
}
serverCursors[maxServer] = cursor
if selectedVolume == nil {
glog.V(1).Infof("BALANCE [%s]: No more eligible volumes on overloaded server %s, trying other servers", diskType, maxServer)
exhaustedServers[maxServer] = true
continue
}
// Skip a destination this specific volume would push over the mark, and
// re-pick, rather than overshoot.
if destinationDiskTooFull(minServer, uint64(selectedVolume.Size)) {
glog.V(1).Infof("BALANCE [%s]: skip destination %s: volume %d (%d bytes) would cross %d%% disk usage",
diskType, minServer, selectedVolume.VolumeID, selectedVolume.Size, balancer.DefaultMaxDiskUsagePercent)
destinationFull[minServer] = true
serverCursors[maxServer]-- // retry this volume against another destination
continue
}
// Create task targeting minServer — the greedy algorithm's natural choice.
// Using minServer instead of letting planBalanceDestination independently
// pick a destination ensures that the detection loop's effective counts
// and the destination selection stay in sync. Without this, the topology's
// LoadCount-based scoring can diverge from the adjustment-based effective
// counts, causing moves to pile onto one server or oscillate (A→B, B→A).
//
// Constrain the destination (including the score-based fallback inside
// createBalanceTask) to servers whose physical disk is not near full;
// sources are unaffected, so a full server can still be drained.
eligibleTargets := make(map[string]int, len(serverVolumeCounts))
for s, c := range serverVolumeCounts {
if !destinationFull[s] && !destinationDiskTooFull(s, 0) {
eligibleTargets[s] = c
}
}
task, destServerID := createBalanceTask(diskType, selectedVolume, clusterInfo, minServer, eligibleTargets, balanceConfig.IoBytePerSecond)
if task == nil {
glog.V(1).Infof("BALANCE [%s]: Cannot plan task for volume %d on server %s, trying next volume", diskType, selectedVolume.VolumeID, maxServer)
continue
}
results = append(results, task)
// Adjust effective counts for the next iteration.
adjustments[maxServer]--
if destServerID != "" {
adjustments[destServerID]++
// Charge the moved volume's bytes to the destination so the disk-fullness
// gate sees it fill up over the course of this cycle.
plannedBytes[destServerID] += uint64(selectedVolume.Size)
// If the destination server wasn't in serverVolumeCounts (e.g., a
// server with 0 volumes not seeded from topology), add it so
// subsequent iterations include it in effective/average/min/max.
if _, exists := serverVolumeCounts[destServerID]; !exists {
serverVolumeCounts[destServerID] = 0
sortedServers = append(sortedServers, destServerID)
sort.Strings(sortedServers)
}
}
}
// Truncated only if we hit maxResults and detection didn't naturally finish
truncated := len(results) >= maxResults && !balanced
return results, truncated
}
// createBalanceTask creates a single balance task for the selected volume.
// targetServer is the server ID chosen by the detection loop's greedy algorithm.
// Returns (nil, "") if destination planning fails.
// On success, returns the task result and the canonical destination server ID.
// allowedServers is the set of servers that passed DC/rack/node filtering in
// the detection loop. When non-empty, the fallback destination planner is
// checked against this set so that filter scope cannot leak.
func createBalanceTask(diskType string, selectedVolume *types.VolumeHealthMetrics, clusterInfo *types.ClusterInfo, targetServer string, allowedServers map[string]int, ioBytePerSecond int64) (*types.TaskDetectionResult, string) {
taskID := fmt.Sprintf("balance_vol_%d_%d", selectedVolume.VolumeID, time.Now().UnixNano())
task := &types.TaskDetectionResult{
TaskID: taskID,
TaskType: types.TaskTypeBalance,
VolumeID: selectedVolume.VolumeID,
Server: selectedVolume.Server,
Collection: selectedVolume.Collection,
Priority: types.TaskPriorityNormal,
Reason: fmt.Sprintf("Cluster imbalance detected for %s disk type",
diskType),
ScheduleAt: time.Now(),
}
// Plan destination if ActiveTopology is available
if clusterInfo.ActiveTopology == nil {
glog.Warningf("No ActiveTopology available for destination planning in balance detection")
return nil, ""
}
// Parse replica placement once for use in both scoring and validation.
var volumeRP *super_block.ReplicaPlacement
if selectedVolume.ExpectedReplicas > 0 && selectedVolume.ExpectedReplicas <= 255 {
if parsed, rpErr := super_block.NewReplicaPlacementFromByte(byte(selectedVolume.ExpectedReplicas)); rpErr == nil && parsed.HasReplication() {
volumeRP = parsed
}
}
var replicas []types.ReplicaLocation
if clusterInfo.VolumeReplicaMap != nil {
replicas = clusterInfo.VolumeReplicaMap[selectedVolume.VolumeID]
if volumeRP != nil && len(replicas) == 0 {
glog.V(1).Infof("BALANCE [%s]: No replica locations found for volume %d, skipping placement validation",
diskType, selectedVolume.VolumeID)
}
}
// Resolve the target server chosen by the detection loop's effective counts.
// This keeps destination selection in sync with the greedy algorithm rather
// than relying on topology LoadCount which can diverge across iterations.
destinationPlan, err := resolveBalanceDestination(clusterInfo.ActiveTopology, selectedVolume, targetServer)
if err != nil {
// Fall back to score-based planning if the preferred target can't be resolved
glog.V(1).Infof("BALANCE [%s]: Cannot resolve target %s for volume %d, falling back to score-based planning: %v",
diskType, targetServer, selectedVolume.VolumeID, err)
destinationPlan, err = planBalanceDestination(clusterInfo.ActiveTopology, selectedVolume, volumeRP, replicas, allowedServers)
if err != nil {
glog.Warningf("Failed to plan balance destination for volume %d: %v", selectedVolume.VolumeID, err)
return nil, ""
}
}
// Verify the resolved destination. If it falls outside the filtered scope
// or violates replica placement, fall back to the score-based planner and
// pick the best candidate that is actually valid.
if !isValidBalanceDestination(destinationPlan, allowedServers, volumeRP, replicas, selectedVolume.Server) {
switch {
case destinationPlan == nil:
glog.V(1).Infof("BALANCE [%s]: Planned destination for volume %d is nil, falling back",
diskType, selectedVolume.VolumeID)
case !isAllowedBalanceTarget(destinationPlan.TargetNode, allowedServers):
glog.V(1).Infof("BALANCE [%s]: Planned destination %s for volume %d is outside filtered scope, falling back",
diskType, destinationPlan.TargetNode, selectedVolume.VolumeID)
case volumeRP != nil && len(replicas) > 0:
glog.V(1).Infof("BALANCE [%s]: Destination %s violates replica placement for volume %d (rp=%03d), falling back",
diskType, destinationPlan.TargetNode, selectedVolume.VolumeID, selectedVolume.ExpectedReplicas)
}
destinationPlan, err = planBalanceDestination(clusterInfo.ActiveTopology, selectedVolume, volumeRP, replicas, allowedServers)
if err != nil {
glog.Warningf("BALANCE [%s]: Failed to plan fallback destination for volume %d: %v", diskType, selectedVolume.VolumeID, err)
return nil, ""
}
if !isValidBalanceDestination(destinationPlan, allowedServers, volumeRP, replicas, selectedVolume.Server) {
if destinationPlan == nil {
glog.V(1).Infof("BALANCE [%s]: Fallback destination for volume %d is nil",
diskType, selectedVolume.VolumeID)
} else {
glog.V(1).Infof("BALANCE [%s]: Fallback destination %s is not valid for volume %d",
diskType, destinationPlan.TargetNode, selectedVolume.VolumeID)
}
return nil, ""
}
}
// Find the actual disk containing the volume on the source server
sourceDisk, found := base.FindVolumeDisk(clusterInfo.ActiveTopology, selectedVolume.VolumeID, selectedVolume.Collection, selectedVolume.Server)
if !found {
glog.Warningf("BALANCE [%s]: Could not find volume %d (collection: %s) on source server %s - unable to create balance task",
diskType, selectedVolume.VolumeID, selectedVolume.Collection, selectedVolume.Server)
return nil, ""
}
// Update reason with full details now that we have destination info
task.Reason = fmt.Sprintf("Cluster imbalance detected for %s: move volume %d from %s to %s",
diskType, selectedVolume.VolumeID, selectedVolume.Server, destinationPlan.TargetNode)
// Create typed parameters with unified source and target information
task.TypedParams = &worker_pb.TaskParams{
TaskId: taskID,
VolumeId: selectedVolume.VolumeID,
Collection: selectedVolume.Collection,
VolumeSize: selectedVolume.Size,
Sources: []*worker_pb.TaskSource{
{
Node: selectedVolume.ServerAddress,
DiskId: sourceDisk,
VolumeId: selectedVolume.VolumeID,
EstimatedSize: selectedVolume.Size,
DataCenter: selectedVolume.DataCenter,
Rack: selectedVolume.Rack,
},
},
Targets: []*worker_pb.TaskTarget{
{
Node: destinationPlan.TargetAddress,
DiskId: destinationPlan.TargetDisk,
VolumeId: selectedVolume.VolumeID,
EstimatedSize: destinationPlan.ExpectedSize,
DataCenter: destinationPlan.TargetDC,
Rack: destinationPlan.TargetRack,
},
},
TaskParams: &worker_pb.TaskParams_BalanceParams{
BalanceParams: &worker_pb.BalanceTaskParams{
ForceMove: false,
TimeoutSeconds: 600, // 10 minutes default
IoBytePerSecond: ioBytePerSecond,
},
},
}
glog.V(1).Infof("Planned balance destination for volume %d: %s -> %s",
selectedVolume.VolumeID, selectedVolume.Server, destinationPlan.TargetNode)
// Add pending balance task to ActiveTopology for capacity management
targetDisk := destinationPlan.TargetDisk
err = clusterInfo.ActiveTopology.AddPendingTask(topology.TaskSpec{
TaskID: taskID,
TaskType: topology.TaskTypeBalance,
VolumeID: selectedVolume.VolumeID,
VolumeSize: int64(selectedVolume.Size),
Sources: []topology.TaskSourceSpec{
{ServerID: selectedVolume.Server, DiskID: sourceDisk},
},
Destinations: []topology.TaskDestinationSpec{
{ServerID: destinationPlan.TargetNode, DiskID: targetDisk},
},
})
if err != nil {
glog.Warningf("BALANCE [%s]: Failed to add pending task for volume %d: %v", diskType, selectedVolume.VolumeID, err)
return nil, ""
}
glog.V(2).Infof("Added pending balance task %s to ActiveTopology for volume %d: %s:%d -> %s:%d",
taskID, selectedVolume.VolumeID, selectedVolume.Server, sourceDisk, destinationPlan.TargetNode, targetDisk)
return task, destinationPlan.TargetNode
}
// resolveBalanceDestination resolves the destination for a balance operation
// when the target server is already known (chosen by the detection loop's
// effective volume counts). It finds a disk on the target server that can
// accept another volume after accounting for ALL pending and assigned tasks
// on that disk (via ActiveTopology.GetEffectiveAvailableCapacity) — not the
// static VolumeCount from the topology snapshot. This keeps destination
// planning consistent with the loop's effective-count bookkeeping and
// prevents over-scheduling when multiple moves are planned within the same
// detection cycle.
func resolveBalanceDestination(activeTopology *topology.ActiveTopology, selectedVolume *types.VolumeHealthMetrics, targetServer string) (*topology.DestinationPlan, error) {
nodeDisks := activeTopology.GetNodeDisks(targetServer)
if len(nodeDisks) == 0 {
return nil, fmt.Errorf("target server %s not found in topology", targetServer)
}
var eligibleDisk *topology.DiskInfo
for _, disk := range nodeDisks {
if disk == nil || disk.DiskInfo == nil {
continue
}
if disk.DiskType != selectedVolume.DiskType {
continue
}
// Use effective capacity so that prior moves planned in this same
// detection cycle (already registered as pending tasks) reduce the
// available slots. A disk with VolumeCount << MaxVolumeCount in the
// topology snapshot can still be effectively full if many in-flight
// tasks already target it.
if disk.DiskInfo.MaxVolumeCount > 0 {
available := activeTopology.GetEffectiveAvailableCapacity(disk.NodeID, disk.DiskID)
if available <= 0 {
continue
}
}
eligibleDisk = disk
break
}
if eligibleDisk == nil {
return nil, fmt.Errorf("target server %s has no available disk of type %s", targetServer, selectedVolume.DiskType)
}
targetAddress, err := util.ResolveServerAddress(eligibleDisk.NodeID, activeTopology)
if err != nil {
return nil, fmt.Errorf("failed to resolve address for target server %s: %v", eligibleDisk.NodeID, err)
}
return &topology.DestinationPlan{
TargetNode: eligibleDisk.NodeID,
TargetAddress: targetAddress,
TargetDisk: eligibleDisk.DiskID,
TargetRack: eligibleDisk.Rack,
TargetDC: eligibleDisk.DataCenter,
ExpectedSize: selectedVolume.Size,
}, nil
}
// planBalanceDestination plans the destination for a balance operation using
// score-based selection. Used as a fallback when the preferred target cannot
// be resolved, and for single-move scenarios outside the detection loop.
// rp may be nil when the volume has no replication constraint. When replica
// locations are known, candidates that would violate placement are filtered
// out before scoring.
func planBalanceDestination(activeTopology *topology.ActiveTopology, selectedVolume *types.VolumeHealthMetrics, rp *super_block.ReplicaPlacement, replicas []types.ReplicaLocation, allowedServers map[string]int) (*topology.DestinationPlan, error) {
// Get source node information from topology
var sourceRack, sourceDC string
// Extract rack and DC from topology info
topologyInfo := activeTopology.GetTopologyInfo()
if topologyInfo != nil {
for _, dc := range topologyInfo.DataCenterInfos {
for _, rack := range dc.RackInfos {
for _, dataNodeInfo := range rack.DataNodeInfos {
if dataNodeInfo.Id == selectedVolume.Server {
sourceDC = dc.Id
sourceRack = rack.Id
break
}
}
if sourceRack != "" {
break
}
}
if sourceDC != "" {
break
}
}
}
// Get available disks, excluding the source node
availableDisks := activeTopology.GetAvailableDisks(topology.TaskTypeBalance, selectedVolume.Server)
if len(availableDisks) == 0 {
return nil, fmt.Errorf("no available disks for balance operation")
}
// Sort available disks by NodeID then DiskID for deterministic tie-breaking
sort.Slice(availableDisks, func(i, j int) bool {
if availableDisks[i].NodeID != availableDisks[j].NodeID {
return availableDisks[i].NodeID < availableDisks[j].NodeID
}
return availableDisks[i].DiskID < availableDisks[j].DiskID
})
// Find the best destination disk based on balance criteria
var bestDisk *topology.DiskInfo
bestScore := math.Inf(-1)
for _, disk := range availableDisks {
// Ensure disk type matches
if disk.DiskType != selectedVolume.DiskType {
continue
}
if !isAllowedBalanceTarget(disk.NodeID, allowedServers) {
continue
}
if rp != nil && len(replicas) > 0 {
target := types.ReplicaLocation{
DataCenter: disk.DataCenter,
Rack: disk.Rack,
NodeID: disk.NodeID,
Host: hostFromAddress(disk.Address, disk.NodeID),
}
if !IsGoodMove(rp, replicas, selectedVolume.Server, target) {
continue
}
}
score := calculateBalanceScore(disk, sourceRack, sourceDC, selectedVolume.Size, rp)
if score > bestScore {
bestScore = score
bestDisk = disk
}
}
if bestDisk == nil {
return nil, fmt.Errorf("no suitable destination found for balance operation")
}
// Get the target server address
targetAddress, err := util.ResolveServerAddress(bestDisk.NodeID, activeTopology)
if err != nil {
return nil, fmt.Errorf("failed to resolve address for target server %s: %v", bestDisk.NodeID, err)
}
return &topology.DestinationPlan{
TargetNode: bestDisk.NodeID,
TargetAddress: targetAddress,
TargetDisk: bestDisk.DiskID,
TargetRack: bestDisk.Rack,
TargetDC: bestDisk.DataCenter,
ExpectedSize: selectedVolume.Size,
PlacementScore: bestScore,
}, nil
}
// calculateBalanceScore calculates placement score for balance operations.
// LoadCount reflects pending+assigned tasks on the disk, so we factor it into
// the utilization estimate to avoid stacking multiple moves onto the same target.
// rp may be nil when the volume has no replication constraint; in that case the
// scorer defaults to preferring cross-rack/DC distribution.
func calculateBalanceScore(disk *topology.DiskInfo, sourceRack, sourceDC string, volumeSize uint64, rp *super_block.ReplicaPlacement) float64 {
if disk.DiskInfo == nil {
return 0.0
}
score := 0.0
// Prefer disks with lower effective volume count (current + pending moves).
// LoadCount is included so that disks already targeted by planned moves
// appear more utilized, naturally spreading work across targets.
if disk.DiskInfo.MaxVolumeCount > 0 {
effectiveVolumeCount := float64(disk.DiskInfo.VolumeCount) + float64(disk.LoadCount)
utilization := effectiveVolumeCount / float64(disk.DiskInfo.MaxVolumeCount)
score += (1.0 - utilization) * 50.0 // Up to 50 points for low utilization
}
// Rack scoring: respect the replication policy.
// If replicas must stay on the same rack (SameRackCount > 0 with no
// cross-rack requirement), prefer same-rack destinations. Otherwise
// prefer different racks for better distribution.
sameRack := disk.Rack == sourceRack
if rp != nil && rp.DiffRackCount == 0 && rp.SameRackCount > 0 {
if sameRack {
score += 30.0
}
} else {
if !sameRack {
score += 30.0
}
}
// DC scoring: same idea. If the policy requires all copies in one DC,
// prefer same-DC destinations. Otherwise prefer different DCs.
sameDC := disk.DataCenter == sourceDC
if rp != nil && rp.DiffDataCenterCount == 0 && (rp.SameRackCount > 0 || rp.DiffRackCount > 0) {
if sameDC {
score += 20.0
}
} else {
if !sameDC {
score += 20.0
}
}
return score
}
func isAllowedBalanceTarget(nodeID string, allowedServers map[string]int) bool {
if len(allowedServers) == 0 {
return true
}
_, ok := allowedServers[nodeID]
return ok
}
func isValidBalanceDestination(plan *topology.DestinationPlan, allowedServers map[string]int, rp *super_block.ReplicaPlacement, replicas []types.ReplicaLocation, sourceNodeID string) bool {
if plan == nil {
return false
}
if !isAllowedBalanceTarget(plan.TargetNode, allowedServers) {
return false
}
if rp == nil || len(replicas) == 0 {
return true
}
target := types.ReplicaLocation{
DataCenter: plan.TargetDC,
Rack: plan.TargetRack,
NodeID: plan.TargetNode,
Host: hostFromAddress(plan.TargetAddress, plan.TargetNode),
}
return IsGoodMove(rp, replicas, sourceNodeID, target)
}
// parseCSVSet splits a comma-separated string into a set of trimmed, non-empty values.