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* admin/topology: carry the volume server address on DiskInfo The planning DiskInfo exposed only the node id, which can be an opaque label rather than ip:port. Record the address too so callers can resolve the physical machine a disk sits on. * ec.balance: spread a volume's shards across machines, not just nodes Volume servers sharing a host are one fault domain, but the within-rack spread treated them as independent nodes, so one box could end up holding more shards of a volume than EC can afford to lose. Add a machine (host) tier between rack and node: the within-rack pass spreads each volume across machines, and the global load phase no longer re-concentrates a volume onto a machine it already sits on. Host defaults to the node id, so clusters with one server per host are unchanged. * ec placement: prefer machines holding fewer of a volume's shards EC allocation and repair picked the least-loaded node in a rack with no regard for which physical machine it sits on, so a volume's shards could pile onto several servers of one box. Rank candidate nodes by their machine's shard count first, then the node's own. The machine is derived from the volume server address carried on DiskInfo, falling back to the node id, matching how the balancer resolves it. * volume.balance: don't move a replica onto a machine already holding one isGoodMove only rejected a move onto the same data node, so two replicas could land on two volume servers of one box and a single machine failure would lose both. Reject a target whose host already holds another replica of the volume. Best-effort: balancing simply skips and tries the next target. * volume allocation: spread same-rack replicas across machines PickNodesByWeight filled the same-rack replica picks by weight alone, so replicas could co-locate on one box. Prefer candidates on not-yet-used hosts, falling back when too few distinct machines exist. Data-center and rack tiers have no host, so their ordering is unchanged. * ec.balance: harden machine spread against re-concentration and capped machines Two cases where the machine-aware spread could still leave a volume badly placed: - The global load phase could move a shard of a volume onto a machine that already held it, raising that machine's count and undoing the within-rack spread (a 4/4/3/3 layout could become 3/5/3/3, past parity for 10+4). Limit the load-only fallback to same-machine moves, which leave a machine's count unchanged; cross-machine concentration is no longer allowed for load alone. - The within-rack spread chose a destination machine by free slots alone, so if that machine's only nodes were already at the SameRackCount cap it skipped the move instead of trying another machine. Require a machine to have a node that can actually take the shard before selecting it. * reduce comments across the machine-affinity change Trim narration down to the non-obvious why; one terse line where a block was overkill. * ec.balance: gate machine spread on fault-tolerance feasibility Spreading a volume evenly across machines only helps when there are enough that each can stay within EC's parity tolerance (numMachines >= ceil(total/parity)). With fewer -- or wildly unequal -- machines it can't make a machine loss survivable anyway, and forcing it fights capacity: e.g. a cluster of 12 volume servers on one host and 2 on another would have half of every volume crammed onto the 2-server box. So spread across machines only when it's achievable; otherwise fall back to per-node spread and let capacity/global balancing decide. The global load phase applies the same test: it protects a volume's machine spread (no cross-machine move that raises a machine's count past the source's) only where that spread is achievable, so heterogeneous clusters still level by fullness. * ec.balance worker: group servers by host when planning The worker built its planner topology without recording each server's host, so automated ec.balance treated ports on one machine as independent nodes and could concentrate a volume's shards on one physical box. Set the host from the volume server address, matching the shell path. * volume.balance worker: don't move a replica onto a machine holding one The worker compared only node ids, and the replica map dropped the server address, so it could move replicas onto different ports of one machine. Carry the host on ReplicaLocation (from the server address) and reject a target whose host already holds another replica of the volume. Best-effort, matching the shell. * ec.balance: judge machine-spread feasibility by the rack's shards The within-rack and global feasibility checks compared the whole volume's shard count against a rack's machine count, so a rack holding only part of a volume after cross-rack spreading -- e.g. 7 of a 10+4 volume across 2 machines -- was wrongly judged infeasible and fell back to node spread, which could pile 6 shards onto one host, past parity. Gate on the rack's own shard count of the volume instead. * ec.balance: spread a volume's shards across machines by combined count EC recovers from any loss within parity regardless of shard type, so what bounds a machine's exposure is its total shards of the volume, not data and parity separately. Spreading the two independently let each type's remainder land on the same machine -- ceil(d/M)+ceil(p/M) can exceed ceil(total/M), e.g. a 5/3 split where 4/4 was achievable, past parity. Balance the combined count in one pass; disk-level data/parity anti-affinity stays in pickBestDiskOnNode. * ec.balance: don't let the imbalance threshold skip an over-parity machine The within-rack spread gated on relative skew ((max-min)/avg > threshold), so a worker threshold of 0.5 skipped an exactly-50%-skewed layout like 5/4/3 for a 10+4 volume, leaving 5 shards -- past parity -- on one machine. The even cap (ceil(shards/groups)) is the real bound and the move loop already sheds only what exceeds it, so drop the threshold gate from the within-rack phase (machine and node): a balanced rack stays a no-op while any over-cap machine is always fixed. * ec.balance: keep the imbalance threshold for the node fallback Dropping the threshold from the whole within-rack phase made the node fallback too eager: it runs only when machine fault tolerance is unachievable, so it is cosmetic load distribution that should defer to the global utilization phase. Without the gate it would, for a one-server-per-host 6/4 split at threshold 0.5, schedule a count move that worsens utilization balance. Restore the threshold there; machine spreading keeps bypassing it, since that bound is durability, not cosmetic skew.
386 lines
15 KiB
Go
386 lines
15 KiB
Go
package topology
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import (
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"fmt"
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"github.com/seaweedfs/seaweedfs/weed/glog"
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"github.com/seaweedfs/seaweedfs/weed/pb/master_pb"
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)
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// GetEffectiveAvailableCapacity returns the effective available capacity for a disk
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// This considers BOTH pending and assigned tasks for capacity reservation.
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//
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// Formula: BaseAvailable - (VolumeSlots + ShardSlots/ShardsPerVolumeSlot) from all tasks
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//
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// The calculation includes:
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// - Pending tasks: Reserve capacity immediately when added
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// - Assigned tasks: Continue to reserve capacity during execution
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// - Recently completed tasks are NOT counted against capacity
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func (at *ActiveTopology) GetEffectiveAvailableCapacity(nodeID string, diskID uint32) int64 {
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at.mutex.RLock()
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defer at.mutex.RUnlock()
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diskKey := fmt.Sprintf("%s:%d", nodeID, diskID)
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disk, exists := at.disks[diskKey]
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if !exists {
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return 0
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}
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if disk.DiskInfo == nil || disk.DiskInfo.DiskInfo == nil {
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return 0
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}
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// Use the same logic as getEffectiveAvailableCapacityUnsafe but with locking
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capacity := at.getEffectiveAvailableCapacityUnsafe(disk)
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return int64(capacity.VolumeSlots)
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}
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// GetEffectiveAvailableCapacityDetailed returns detailed available capacity as StorageSlotChange
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// This provides granular information about available volume slots and shard slots
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func (at *ActiveTopology) GetEffectiveAvailableCapacityDetailed(nodeID string, diskID uint32) StorageSlotChange {
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at.mutex.RLock()
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defer at.mutex.RUnlock()
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diskKey := fmt.Sprintf("%s:%d", nodeID, diskID)
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disk, exists := at.disks[diskKey]
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if !exists {
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return StorageSlotChange{}
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}
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if disk.DiskInfo == nil || disk.DiskInfo.DiskInfo == nil {
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return StorageSlotChange{}
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}
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return at.getEffectiveAvailableCapacityUnsafe(disk)
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}
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// GetEffectiveAvailableEcShardSlots returns a disk's free EC shard slots,
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// accounting for in-flight task reservations at shard granularity. Unlike the
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// volume-slot views (GetDisksWithEffectiveCapacity / GetEffectiveAvailableCapacity),
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// this does not truncate sub-volume shard reservations: it subtracts the full
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// reservation impact (volume slots converted to shard slots, plus the raw shard
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// slots) so a reservation that is not a whole multiple of ShardsPerVolumeSlot is
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// not lost. It does NOT subtract the EC shards already persisted on the disk;
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// callers that track those (from EcShardInfos) subtract them separately.
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//
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// shardsPerVolume is the number of EC shards of the target collection that fit in
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// one volume slot (i.e. its data-shard count): a 4+2 volume's shards are ~1/4 of a
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// volume each, so one volume slot holds 4 of them, not the default
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// ShardsPerVolumeSlot. Pass <= 0 to use the default. Using the target ratio keeps
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// Place from over-filling a disk for low-data-shard layouts.
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func (at *ActiveTopology) GetEffectiveAvailableEcShardSlots(nodeID string, diskID uint32, shardsPerVolume int) int {
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if shardsPerVolume <= 0 {
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shardsPerVolume = ShardsPerVolumeSlot
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}
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at.mutex.RLock()
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defer at.mutex.RUnlock()
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diskKey := fmt.Sprintf("%s:%d", nodeID, diskID)
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disk, exists := at.disks[diskKey]
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if !exists || disk.DiskInfo == nil || disk.DiskInfo.DiskInfo == nil {
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return 0
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}
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info := disk.DiskInfo.DiskInfo
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base := info.MaxVolumeCount - info.VolumeCount
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if base <= 0 && info.MaxVolumeCount == 0 && info.VolumeCount == 0 &&
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len(info.VolumeInfos) == 0 && len(info.EcShardInfos) == 0 {
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// Freshly started empty servers can report max=0 before publishing concrete
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// limits; keep one provisional slot so EC placement still sees the disk,
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// mirroring getEffectiveAvailableCapacityUnsafe.
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base = 1
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}
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if base < 0 {
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base = 0
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}
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// calculateTaskStorageImpact reports consumption as positive, so subtract it.
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// Volume-slot reservations scale by the target ratio; the sub-volume shard-slot
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// remainder is in default units and subtracted as-is (a small approximation).
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impact := at.getEffectiveCapacityUnsafe(disk)
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// impact.ShardSlots is recorded in default ShardsPerVolumeSlot units; convert it
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// to the target ratio's shard slots before subtracting (identity when
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// shardsPerVolume == ShardsPerVolumeSlot). Round a positive reservation up so a
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// sub-slot reservation (e.g. 1 default slot against a 4-shard target) is not
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// truncated to zero and wrongly counted as free.
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scaledShardImpact := int64(impact.ShardSlots) * int64(shardsPerVolume)
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if scaledShardImpact > 0 {
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scaledShardImpact = (scaledShardImpact + int64(ShardsPerVolumeSlot) - 1) / int64(ShardsPerVolumeSlot)
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} else {
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scaledShardImpact /= int64(ShardsPerVolumeSlot)
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}
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free := base*int64(shardsPerVolume) -
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int64(impact.VolumeSlots)*int64(shardsPerVolume) -
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scaledShardImpact
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if free < 0 {
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free = 0
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}
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return int(free)
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}
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// GetEffectiveCapacityImpact returns the StorageSlotChange impact for a disk
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// This shows the net impact from all pending and assigned tasks
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func (at *ActiveTopology) GetEffectiveCapacityImpact(nodeID string, diskID uint32) StorageSlotChange {
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at.mutex.RLock()
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defer at.mutex.RUnlock()
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diskKey := fmt.Sprintf("%s:%d", nodeID, diskID)
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disk, exists := at.disks[diskKey]
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if !exists {
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return StorageSlotChange{}
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}
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return at.getEffectiveCapacityUnsafe(disk)
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}
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// GetDisksWithEffectiveCapacity returns disks with sufficient effective capacity
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// This method considers BOTH pending and assigned tasks for capacity reservation using StorageSlotChange.
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//
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// Parameters:
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// - taskType: type of task to check compatibility for
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// - excludeNodeID: node to exclude from results
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// - minCapacity: minimum effective capacity required (in volume slots)
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//
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// Returns: DiskInfo objects where VolumeCount reflects capacity reserved by all tasks
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func (at *ActiveTopology) GetDisksWithEffectiveCapacity(taskType TaskType, excludeNodeID string, minCapacity int64) []*DiskInfo {
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at.mutex.RLock()
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defer at.mutex.RUnlock()
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var available []*DiskInfo
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glog.V(2).Infof("GetDisksWithEffectiveCapacity checking %d disks for type %s, minCapacity %d", len(at.disks), taskType, minCapacity)
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for _, disk := range at.disks {
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if disk.NodeID == excludeNodeID {
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continue // Skip excluded node
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}
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if at.isDiskAvailable(disk, taskType) {
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effectiveCapacity := at.getEffectiveAvailableCapacityUnsafe(disk)
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// Only include disks that meet minimum capacity requirement
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if int64(effectiveCapacity.VolumeSlots) >= minCapacity {
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// Create a new DiskInfo with current capacity information
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diskCopy := DiskInfo{
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NodeID: disk.DiskInfo.NodeID,
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Address: disk.DiskInfo.Address,
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DiskID: disk.DiskInfo.DiskID,
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DiskType: disk.DiskInfo.DiskType,
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DataCenter: disk.DiskInfo.DataCenter,
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Rack: disk.DiskInfo.Rack,
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LoadCount: len(disk.pendingTasks) + len(disk.assignedTasks), // Count all tasks
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}
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// Create a new protobuf DiskInfo to avoid modifying the original
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diskInfoCopy := &master_pb.DiskInfo{
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DiskId: disk.DiskInfo.DiskInfo.DiskId,
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MaxVolumeCount: disk.DiskInfo.DiskInfo.MaxVolumeCount,
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VolumeCount: disk.DiskInfo.DiskInfo.MaxVolumeCount - int64(effectiveCapacity.VolumeSlots),
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VolumeInfos: disk.DiskInfo.DiskInfo.VolumeInfos,
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EcShardInfos: disk.DiskInfo.DiskInfo.EcShardInfos,
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RemoteVolumeCount: disk.DiskInfo.DiskInfo.RemoteVolumeCount,
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ActiveVolumeCount: disk.DiskInfo.DiskInfo.ActiveVolumeCount,
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FreeVolumeCount: disk.DiskInfo.DiskInfo.FreeVolumeCount,
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Tags: append([]string(nil), disk.DiskInfo.DiskInfo.Tags...),
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}
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diskCopy.DiskInfo = diskInfoCopy
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diskCopy.DiskInfo.MaxVolumeCount = disk.DiskInfo.DiskInfo.MaxVolumeCount // Ensure Max is set
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available = append(available, &diskCopy)
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} else {
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glog.V(2).Infof("Disk %s:%d capacity %d < %d (Max:%d, Vol:%d)", disk.NodeID, disk.DiskInfo.DiskID, effectiveCapacity.VolumeSlots, minCapacity, disk.DiskInfo.DiskInfo.MaxVolumeCount, disk.DiskInfo.DiskInfo.VolumeCount)
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}
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} else {
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tasksInfo := ""
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for _, t := range disk.pendingTasks {
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tasksInfo += fmt.Sprintf("[P:%s,Vol:%d] ", t.TaskType, t.VolumeID)
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}
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for _, t := range disk.assignedTasks {
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tasksInfo += fmt.Sprintf("[A:%s,Vol:%d] ", t.TaskType, t.VolumeID)
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}
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glog.V(2).Infof("Disk %s:%d unavailable. Load: %d, MaxLoad: %d. Tasks: %s", disk.NodeID, disk.DiskInfo.DiskID, len(disk.pendingTasks)+len(disk.assignedTasks), MaxConcurrentTasksPerDisk, tasksInfo)
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}
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}
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glog.V(2).Infof("GetDisksWithEffectiveCapacity found %d available disks", len(available))
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return available
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}
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// GetDisksForPlanning returns disks considering both active and pending tasks for planning decisions
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// This helps avoid over-scheduling tasks to the same disk
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func (at *ActiveTopology) GetDisksForPlanning(taskType TaskType, excludeNodeID string, minCapacity int64) []*DiskInfo {
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at.mutex.RLock()
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defer at.mutex.RUnlock()
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var available []*DiskInfo
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for _, disk := range at.disks {
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if disk.NodeID == excludeNodeID {
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continue // Skip excluded node
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}
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// Consider both pending and active tasks for scheduling decisions
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if at.isDiskAvailableForPlanning(disk, taskType) {
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// Check if disk can accommodate new task considering pending tasks
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planningCapacity := at.getPlanningCapacityUnsafe(disk)
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if int64(planningCapacity.VolumeSlots) >= minCapacity {
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// Create a new DiskInfo with planning information
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diskCopy := DiskInfo{
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NodeID: disk.DiskInfo.NodeID,
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Address: disk.DiskInfo.Address,
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DiskID: disk.DiskInfo.DiskID,
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DiskType: disk.DiskInfo.DiskType,
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DataCenter: disk.DiskInfo.DataCenter,
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Rack: disk.DiskInfo.Rack,
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LoadCount: len(disk.pendingTasks) + len(disk.assignedTasks),
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}
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// Create a new protobuf DiskInfo to avoid modifying the original
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diskInfoCopy := &master_pb.DiskInfo{
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DiskId: disk.DiskInfo.DiskInfo.DiskId,
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MaxVolumeCount: disk.DiskInfo.DiskInfo.MaxVolumeCount,
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VolumeCount: disk.DiskInfo.DiskInfo.MaxVolumeCount - int64(planningCapacity.VolumeSlots),
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VolumeInfos: disk.DiskInfo.DiskInfo.VolumeInfos,
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EcShardInfos: disk.DiskInfo.DiskInfo.EcShardInfos,
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RemoteVolumeCount: disk.DiskInfo.DiskInfo.RemoteVolumeCount,
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ActiveVolumeCount: disk.DiskInfo.DiskInfo.ActiveVolumeCount,
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FreeVolumeCount: disk.DiskInfo.DiskInfo.FreeVolumeCount,
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Tags: append([]string(nil), disk.DiskInfo.DiskInfo.Tags...),
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}
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diskCopy.DiskInfo = diskInfoCopy
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available = append(available, &diskCopy)
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}
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}
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}
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return available
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}
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// CanAccommodateTask checks if a disk can accommodate a new task considering all constraints
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func (at *ActiveTopology) CanAccommodateTask(nodeID string, diskID uint32, taskType TaskType, volumesNeeded int64) bool {
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at.mutex.RLock()
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defer at.mutex.RUnlock()
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diskKey := fmt.Sprintf("%s:%d", nodeID, diskID)
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disk, exists := at.disks[diskKey]
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if !exists {
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return false
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}
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// Check basic availability
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if !at.isDiskAvailable(disk, taskType) {
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return false
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}
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// Check effective capacity
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effectiveCapacity := at.getEffectiveAvailableCapacityUnsafe(disk)
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return int64(effectiveCapacity.VolumeSlots) >= volumesNeeded
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}
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// getPlanningCapacityUnsafe considers both pending and active tasks for planning
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func (at *ActiveTopology) getPlanningCapacityUnsafe(disk *activeDisk) StorageSlotChange {
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if disk.DiskInfo == nil || disk.DiskInfo.DiskInfo == nil {
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return StorageSlotChange{}
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}
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baseAvailableVolumes := disk.DiskInfo.DiskInfo.MaxVolumeCount - disk.DiskInfo.DiskInfo.VolumeCount
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// Use the centralized helper function to calculate task storage impact
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totalImpact := at.calculateTaskStorageImpact(disk)
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// Calculate available capacity considering impact (negative impact reduces availability)
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availableVolumeSlots := baseAvailableVolumes - totalImpact.ToVolumeSlots()
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if availableVolumeSlots < 0 {
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availableVolumeSlots = 0
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}
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// Return detailed capacity information
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return StorageSlotChange{
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VolumeSlots: int32(availableVolumeSlots),
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ShardSlots: -totalImpact.ShardSlots, // Available shard capacity (negative impact becomes positive availability)
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}
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}
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// isDiskAvailableForPlanning checks if disk can accept new tasks considering
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// pending load. See isDiskAvailable for the cross-type policy.
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func (at *ActiveTopology) isDiskAvailableForPlanning(disk *activeDisk, taskType TaskType) bool {
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totalLoad := len(disk.pendingTasks) + len(disk.assignedTasks)
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if MaxTotalTaskLoadPerDisk > 0 && totalLoad >= MaxTotalTaskLoadPerDisk {
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return false
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}
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return true
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}
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// calculateTaskStorageImpact is a helper function that calculates the total storage impact
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// from all tasks (pending and assigned) on a given disk. This eliminates code duplication
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// between multiple capacity calculation functions.
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func (at *ActiveTopology) calculateTaskStorageImpact(disk *activeDisk) StorageSlotChange {
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if disk.DiskInfo == nil || disk.DiskInfo.DiskInfo == nil {
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return StorageSlotChange{}
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}
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totalImpact := StorageSlotChange{}
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// Process both pending and assigned tasks with identical logic
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taskLists := [][]*taskState{disk.pendingTasks, disk.assignedTasks}
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for _, taskList := range taskLists {
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for _, task := range taskList {
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// Calculate impact for all source locations
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for _, source := range task.Sources {
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if source.SourceServer == disk.NodeID && source.SourceDisk == disk.DiskID {
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totalImpact.AddInPlace(source.StorageChange)
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}
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}
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// Calculate impact for all destination locations
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for _, dest := range task.Destinations {
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if dest.TargetServer == disk.NodeID && dest.TargetDisk == disk.DiskID {
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totalImpact.AddInPlace(dest.StorageChange)
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}
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}
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}
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}
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return totalImpact
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}
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// getEffectiveCapacityUnsafe returns effective capacity impact without locking (for internal use)
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// Returns StorageSlotChange representing the net impact from all tasks
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func (at *ActiveTopology) getEffectiveCapacityUnsafe(disk *activeDisk) StorageSlotChange {
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return at.calculateTaskStorageImpact(disk)
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}
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// getEffectiveAvailableCapacityUnsafe returns detailed available capacity as StorageSlotChange
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func (at *ActiveTopology) getEffectiveAvailableCapacityUnsafe(disk *activeDisk) StorageSlotChange {
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if disk.DiskInfo == nil || disk.DiskInfo.DiskInfo == nil {
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return StorageSlotChange{}
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}
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baseAvailable := disk.DiskInfo.DiskInfo.MaxVolumeCount - disk.DiskInfo.DiskInfo.VolumeCount
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if baseAvailable <= 0 &&
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disk.DiskInfo.DiskInfo.MaxVolumeCount == 0 &&
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disk.DiskInfo.DiskInfo.VolumeCount == 0 &&
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len(disk.DiskInfo.DiskInfo.VolumeInfos) == 0 &&
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len(disk.DiskInfo.DiskInfo.EcShardInfos) == 0 {
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// Some empty volume servers can report max_volume_counts=0 before
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// publishing concrete slot limits. Keep one provisional slot so EC
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// detection still sees the disk for placement planning.
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baseAvailable = 1
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}
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netImpact := at.getEffectiveCapacityUnsafe(disk)
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// Calculate available volume slots (negative impact reduces availability)
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availableVolumeSlots := baseAvailable - netImpact.ToVolumeSlots()
|
|
if availableVolumeSlots < 0 {
|
|
availableVolumeSlots = 0
|
|
}
|
|
|
|
// Return detailed capacity information
|
|
return StorageSlotChange{
|
|
VolumeSlots: int32(availableVolumeSlots),
|
|
ShardSlots: -netImpact.ShardSlots, // Available shard capacity (negative impact becomes positive availability)
|
|
}
|
|
}
|