Files
seaweedfs/weed/worker/tasks/balance/detection.go
T
Chris Lu 4f50c5b0d4 feat: throughput limits for replicate, EC shard, and worker-driven moves (#10749)
* feat: throughput limits for replicate, EC shard, and worker-driven moves

VolumeCopy was the only rate-limitable transfer; EC shard copies,
replica creation, and worker-driven moves all ran at whatever the
receiving server's maintenance rate allowed, with no per-operation
control.

- proto: VolumeEcShardsCopyRequest and the balance / ec_balance task
  params and configs gain io_byte_per_second; 0 keeps today's behavior
  (the volume server's own maintenance rate governs).
- volume server: VolumeEcShardsCopy throttles with one WriteThrottler
  per request, shared across the shard, .ecx, .ecj, .vif, and .ecsum
  copies so the limit caps the transfer as a whole - the same shape as
  VolumeCopy.
- volume_move: ReplicateVolume accepts the limit; EcMoveOptions carries
  it through MoveEcShards/CopyAndMountEcShards into the copy request,
  with fake-client tests asserting propagation.
- shell: ec.balance gains -ioBytePerSecond; volume.tier.move's
  replication top-up honors the command's existing -ioBytePerSecond
  instead of running unthrottled.
- worker: balance and ec_balance configs gain io_byte_per_second
  (surfaced in the admin config schema), carried through detection and
  plugin job parameters into task params and handed to the shared
  mover; batch balance jobs inherit the limit from their detection
  results.

The limit is per copy stream, so maxParallelization multiplies the
aggregate ceiling.

* worker plugins: expose io_byte_per_second in the plugin config and derive it

The plugin-driven detection path derives its task Config from the
plugin configuration values, and both balance and ec_balance left
IoBytePerSecond at zero there - a configured limit silently reverted
to the server maintenance rate. Both derive functions now read the
field (clamped at zero), and the plugin descriptors expose it with
defaults so the configuration form carries it.
2026-08-13 13:22:58 -07:00

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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 (0.01.0) 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.