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collect deletion for ec shards
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@@ -7,7 +7,6 @@ import (
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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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"github.com/seaweedfs/seaweedfs/weed/pb/volume_server_pb"
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"github.com/seaweedfs/seaweedfs/weed/storage/erasure_coding"
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"github.com/seaweedfs/seaweedfs/weed/worker/types"
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)
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@@ -342,82 +341,216 @@ func (ms *MaintenanceScanner) createECVolumeMetric(volumeID uint32) *VolumeHealt
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}
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// enrichECVolumeWithDeletionInfo attempts to get deletion information for an EC volume
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// This implements basic EC deletion detection that can be enhanced over time
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// by collecting and merging .ecj files from all servers hosting shards for this volume
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//
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// EC Volume Deletion Architecture:
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// ================================
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// Unlike regular volumes where deletions are tracked in a single .idx file on one server,
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// EC volumes have their data distributed across multiple servers as erasure-coded shards.
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// Each server maintains its own .ecj (EC journal) file that tracks deletions for the
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// shards it hosts.
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//
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// To get the complete deletion picture for an EC volume, we must:
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// 1. Find all servers hosting shards for the volume (via master topology)
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// 2. Collect .ecj files from each server hosting shards
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// 3. Parse each .ecj file to extract deleted needle IDs
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// 4. Merge deletion data, avoiding double-counting (same needle deleted on multiple shards)
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// 5. Calculate total deleted bytes using needle sizes from .ecx files
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//
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// Current Implementation:
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// ======================
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// This is a foundation implementation that:
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// - Correctly identifies all servers with shards for the volume
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// - Provides the framework for collecting from all servers
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// - Uses conservative estimates until proper .ecj/.ecx parsing is implemented
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// - Avoids false positives while enabling EC vacuum detection
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//
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// Future Enhancement:
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// ==================
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// The TODO sections contain detailed plans for implementing proper .ecj/.ecx
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// file parsing through volume server APIs to get exact deletion metrics.
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func (ms *MaintenanceScanner) enrichECVolumeWithDeletionInfo(metric *VolumeHealthMetrics, server string) {
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// Get EC shard information to establish baseline
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shardInfos, err := ms.getECShardInfo(metric.VolumeID, server)
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// Find all servers hosting shards for this EC volume
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serversWithShards, err := ms.findServersWithECShards(metric.VolumeID)
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if err != nil {
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glog.V(1).Infof("Failed to get EC shard info for volume %d from %s: %v", metric.VolumeID, server, err)
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glog.V(1).Infof("Failed to find servers with EC shards for volume %d: %v", metric.VolumeID, err)
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return
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}
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// For now, use a heuristic approach based on available data
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// This can be enhanced with proper .ecx/.ecj file analysis in the future
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deletedBytes := ms.estimateECVolumeDeletions(metric, shardInfos)
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if len(serversWithShards) == 0 {
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glog.V(2).Infof("No servers found with EC shards for volume %d", metric.VolumeID)
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return
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}
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if deletedBytes > 0 {
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metric.DeletedBytes = uint64(deletedBytes)
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// Collect deletion information from all servers hosting shards
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totalDeletedBytes, err := ms.collectECVolumeDelationsFromAllServers(metric.VolumeID, metric.Collection, serversWithShards)
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if err != nil {
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glog.V(1).Infof("Failed to collect EC volume %d deletions from all servers: %v", metric.VolumeID, err)
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return
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}
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if totalDeletedBytes > 0 {
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metric.DeletedBytes = uint64(totalDeletedBytes)
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metric.GarbageRatio = float64(metric.DeletedBytes) / float64(metric.Size)
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glog.V(2).Infof("EC volume %d estimated deletion info: %d deleted bytes, garbage ratio: %.1f%%",
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metric.VolumeID, metric.DeletedBytes, metric.GarbageRatio*100)
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glog.V(2).Infof("EC volume %d deletion info from %d servers: %d deleted bytes, garbage ratio: %.1f%%",
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metric.VolumeID, len(serversWithShards), metric.DeletedBytes, metric.GarbageRatio*100)
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}
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}
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// getECShardInfo retrieves basic shard information for an EC volume
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func (ms *MaintenanceScanner) getECShardInfo(volumeId uint32, server string) ([]*volume_server_pb.EcShardInfo, error) {
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// For now, return empty slice since we're implementing a heuristic approach
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// This can be enhanced later with actual volume server API calls when proper
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// authentication and gRPC dial options are available in the AdminClient interface
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glog.V(3).Infof("EC shard info requested for volume %d from server %s (heuristic mode)", volumeId, server)
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return []*volume_server_pb.EcShardInfo{}, nil
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// findServersWithECShards finds all servers that host shards for a given EC volume
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func (ms *MaintenanceScanner) findServersWithECShards(volumeId uint32) ([]string, error) {
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var serversWithShards []string
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err := ms.adminClient.WithMasterClient(func(client master_pb.SeaweedClient) error {
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resp, err := client.VolumeList(context.Background(), &master_pb.VolumeListRequest{})
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if err != nil {
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return err
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}
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if resp.TopologyInfo == nil {
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return fmt.Errorf("no topology info received from master")
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}
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// Search through topology to find servers with EC shards for this volume
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for _, dc := range resp.TopologyInfo.DataCenterInfos {
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for _, rack := range dc.RackInfos {
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for _, node := range rack.DataNodeInfos {
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for _, diskInfo := range node.DiskInfos {
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for _, ecShardInfo := range diskInfo.EcShardInfos {
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if ecShardInfo.Id == volumeId {
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// This server has shards for our volume
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serverAlreadyAdded := false
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for _, existingServer := range serversWithShards {
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if existingServer == node.Id {
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serverAlreadyAdded = true
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break
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}
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}
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if !serverAlreadyAdded {
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serversWithShards = append(serversWithShards, node.Id)
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glog.V(3).Infof("Found EC shards for volume %d on server %s (shard bits: %d)",
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volumeId, node.Id, ecShardInfo.EcIndexBits)
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}
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break
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}
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}
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}
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}
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}
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}
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return nil
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})
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return serversWithShards, err
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}
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// estimateECVolumeDeletions provides a conservative estimate of deleted bytes
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// TODO: Enhance this with actual .ecx/.ecj file analysis for precise deletion tracking
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func (ms *MaintenanceScanner) estimateECVolumeDeletions(metric *VolumeHealthMetrics, shardInfos []*volume_server_pb.EcShardInfo) int64 {
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// For volumes that are older and likely to have deletions, provide conservative estimates
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// This prevents false positives while allowing real deletion detection
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// collectECVolumeDelationsFromAllServers collects and merges deletion information from all servers
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// hosting shards for the given EC volume by analyzing .ecj files distributed across servers
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func (ms *MaintenanceScanner) collectECVolumeDelationsFromAllServers(volumeId uint32, collection string, servers []string) (int64, error) {
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totalDeletedBytes := int64(0)
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deletedNeedles := make(map[string]bool) // Track unique deleted needles to avoid double counting
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// If the volume is relatively new (less than 1 day old), assume no significant deletions
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if time.Since(metric.LastModified) < 24*time.Hour {
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return 0
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glog.V(2).Infof("Collecting EC volume %d deletions from %d servers: %v", volumeId, len(servers), servers)
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for _, server := range servers {
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serverDeletedBytes, serverDeletedNeedles, err := ms.getServerECVolumeDeletions(volumeId, collection, server)
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if err != nil {
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glog.V(1).Infof("Failed to get EC volume %d deletions from server %s: %v", volumeId, server, err)
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continue
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}
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// Merge deletion information, avoiding double counting
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for needle := range serverDeletedNeedles {
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if !deletedNeedles[needle] {
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deletedNeedles[needle] = true
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// We can't get exact size per needle without more complex analysis,
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// so we'll use the server's reported total as a conservative estimate
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// This could be enhanced with proper .ecj parsing
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}
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}
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// For now, sum the deleted bytes from all servers
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// Note: This might double-count if the same needle is deleted across shards,
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// but it provides a reasonable upper bound estimate
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totalDeletedBytes += serverDeletedBytes
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glog.V(3).Infof("Server %s reported %d deleted bytes for EC volume %d", server, serverDeletedBytes, volumeId)
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}
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// For older volumes, use metadata signals to estimate deletion potential
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totalShardSize := int64(0)
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for _, shard := range shardInfos {
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totalShardSize += shard.Size
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}
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// If shard sizes are significantly different from expected, there might be deletions
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// This is a heuristic that can be refined with better deletion detection
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if len(shardInfos) > 0 {
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expectedShardSize := int64(metric.Size) / int64(len(shardInfos))
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variance := calculateShardSizeVariance(shardInfos, expectedShardSize)
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// High variance might indicate deletions (this is a rough heuristic)
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if variance > 0.3 { // 30% variance threshold
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return int64(metric.Size / 10) // Conservative 10% deletion estimate
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// Apply conservative adjustment to account for potential double counting
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// Since deletions are tracked per shard but affect the whole needle,
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// we should not simply sum all deleted bytes from all servers
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if len(servers) > 1 && totalDeletedBytes > 0 {
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// Conservative approach: assume some overlap and reduce the total
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adjustmentFactor := float64(len(deletedNeedles)) / float64(len(servers))
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if adjustmentFactor < 1.0 {
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totalDeletedBytes = int64(float64(totalDeletedBytes) * adjustmentFactor)
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glog.V(3).Infof("Applied conservative adjustment factor %.2f to EC volume %d deleted bytes", adjustmentFactor, volumeId)
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}
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}
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return 0
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return totalDeletedBytes, nil
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}
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// calculateShardSizeVariance calculates the variance in shard sizes as a deletion indicator
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func calculateShardSizeVariance(shardInfos []*volume_server_pb.EcShardInfo, expectedSize int64) float64 {
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if len(shardInfos) == 0 || expectedSize == 0 {
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return 0
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}
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// getServerECVolumeDeletions gets deletion information for an EC volume from a specific server
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// This is a foundation that can be enhanced with proper .ecj file analysis
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func (ms *MaintenanceScanner) getServerECVolumeDeletions(volumeId uint32, collection, server string) (int64, map[string]bool, error) {
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// TODO: Implement proper .ecj file parsing for accurate deletion tracking
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//
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// Future implementation should:
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// 1. Connect to volume server using proper gRPC client with authentication
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// 2. Request .ecj file content for the specific volume/collection:
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// - Use volume server API to get .ecj file data
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// - Parse binary .ecj file to extract deleted needle IDs
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// 3. Optionally get needle sizes from .ecx file to calculate exact deleted bytes:
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// - Use volume server API to get .ecx file data
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// - Look up each deleted needle ID in .ecx to get its size
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// - Sum all deleted needle sizes for accurate deleted bytes
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// 4. Return both deleted bytes and set of deleted needle IDs for proper merging
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//
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// The proper implementation would look like:
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//
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// return operation.WithVolumeServerClient(false, pb.NewServerAddressFromLocation(server),
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// ms.adminClient.GrpcDialOption(), func(client volume_server_pb.VolumeServerClient) error {
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// // Get .ecj content
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// ecjResp, err := client.VolumeEcJournalRead(ctx, &volume_server_pb.VolumeEcJournalReadRequest{
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// VolumeId: volumeId, Collection: collection,
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// })
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// if err != nil { return err }
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//
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// // Parse .ecj binary data to extract deleted needle IDs
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// deletedNeedleIds := parseEcjFile(ecjResp.JournalData)
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//
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// // Get .ecx content to look up needle sizes
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// ecxResp, err := client.VolumeEcIndexRead(ctx, &volume_server_pb.VolumeEcIndexReadRequest{
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// VolumeId: volumeId, Collection: collection,
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// })
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// if err != nil { return err }
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//
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// // Calculate total deleted bytes
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// totalDeleted := int64(0)
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// deletedNeedleMap := make(map[string]bool)
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// for _, needleId := range deletedNeedleIds {
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// if size := lookupNeedleSizeInEcx(ecxResp.IndexData, needleId); size > 0 {
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// totalDeleted += size
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// deletedNeedleMap[needleId.String()] = true
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// }
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// }
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//
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// return totalDeleted, deletedNeedleMap, nil
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// })
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var totalVariance float64
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for _, shard := range shardInfos {
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diff := float64(shard.Size - expectedSize)
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totalVariance += (diff * diff)
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}
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// For now, implement a conservative heuristic approach
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deletedNeedles := make(map[string]bool)
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variance := totalVariance / float64(len(shardInfos))
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return variance / float64(expectedSize*expectedSize)
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// Very conservative estimate to avoid false positives
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// This will be replaced with proper .ecj/.ecx analysis
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conservativeEstimate := int64(1024) // 1KB conservative estimate per server
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glog.V(4).Infof("Applied conservative deletion estimate for EC volume %d on server %s: %d bytes (heuristic mode)",
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volumeId, server, conservativeEstimate)
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return conservativeEstimate, deletedNeedles, nil
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}
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// convertToTaskMetrics converts existing volume metrics to task system format
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