Files
seaweedfs/weed/filer/filer_deletion.go
T
Chris LuandDevin 757917f564 filer: evict remote-cached objects under storage pressure (#11515)
* filer: identify remote-mounted entries safe to drop under disk pressure

ListEvictableRemoteEntries walks every mounted directory directly on the
filer store (no lazy remote listing) and returns entries that hold local
chunks fully synchronized with remote, ordered oldest-cached first.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: evict remote-cached chunks oldest-first and vacuum the garbage

uncacheRemoteEntry applies the same transition remote.uncache does -
cleared chunks plus a reset LastLocalSyncTsNs under the entry path lock -
and evictRemoteCachedEntries serializes passes over all mounts until a
byte target is met. Aged victims are preferred; a second pass accepts any
synchronized cached entry when aged ones cannot cover the request, since
a failed read is worse than a dropped hot object.

Cleared chunks only become disk space after compaction, so
reclaimRemoteCacheSpace pairs each pass with a rate-limited VacuumVolume
call that also picks up orphaned partial fills.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: trigger remote cache eviction under storage pressure

A periodic check (30s) reads disk usage from master topology and evicts
remote-mounted cached chunks once any disk crosses
-filer.remoteCacheEvictThreshold (default 0.9; 0 disables), with a vacuum
pass to reclaim the tombstoned needles.

The cold-read cache path also kicks the same reclaim when a fill fails on
exhausted volumes - the request still falls back to streaming from the
remote, but the cache stops being permanently wedged full.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: flush deletion queue before remote cache vacuum

Vacuum ran immediately after eviction while evicted file IDs still sat
in the asynchronous deletion queue, so compaction saw no garbage and the
cache stayed wedged. Flush the queue synchronously first and shorten the
vacuum cooldown so sustained pressure does not wait five minutes between
reclaim passes.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test: cover remote cache eviction under capacity pressure

Unit tests pin the eligibility filter and oldest-first ordering; the
integration test runs a constrained two-node setup that saturates the
cache, verifies the oldest synced entry is evicted and vacuumed, and
that a later read re-caches it.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: coalesce remote cache reclaim passes

A failed cache fill used to queue behind any in-flight eviction,
stacking full mount traversals during a write-failure storm. Skip the
pass when one is already running; the caller falls back to streaming
from remote regardless.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: stop the remote cache janitor on shutdown

The eviction ticker kept running after Shutdown closed the metadata
store and could traverse a closed store. Give the janitor a context
cancelled from Shutdown and propagate it into its master RPCs and
traversals.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: vacuum only tombstoned volumes and retry deferred passes

VacuumVolume with no volume id swept every collection, compacting
volumes unrelated to the cache fill that failed. Now the reclaim path
collects the vids of file ids actually flushed from the deletion queue
and compacts only those. Vids that land inside the vacuum cooldown stay
in a pending set the janitor retries on each tick, so chunks evicted
just after a sweep are not stranded until the next pressure event.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: count only pressured disks when evicting remote cache

The janitor measured the largest excess on one disk but let bytes on
healthy disks satisfy the reclaim target. Split the topology disk view
per physical disk and count only chunk bytes whose volumes sit on an
over-threshold disk; entries contributing nothing there are skipped.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: compare remote cache sync time at nanosecond precision

Second-precision mtime comparisons let a local write in the same second
as the last sync still qualify as evictable, discarding unsynced
changes. Compare LastLocalSyncTsNs against full-precision mtime
(mtime_ns round-trips through the entry codec), and apply the same fix
to remote.uncache's inline check.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: invalidate remote sync stamp on local content change

A local overwrite that keeps the remote entry's LastLocalSyncTsNs looks
evictable even though the remote copy no longer matches, and some write
paths stamp mtime at second precision so a timestamp comparison cannot
catch it. UpdateEntry now clears the stamp when chunks change without a
fresh stamp, leaving replicated updates authoritative.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: bound remote cache master rpcs and vacuum all evicted garbage

VolumeList and VacuumVolume now run under a 30s context so a stalled
master cannot wedge the eviction janitor. The targeted vacuum drops the
garbage threshold so volumes with under 10% deleted bytes still compact.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test: tolerate straggler fills in remote cache eviction test

Detached fills from the concurrent wave keep racing the final checks:
live chunks legitimately fill both volumes, and a re-cached object can
be evicted again before its commit is observed.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: start remote cache eviction loop after filer init

The janitor's first tick dereferences fs.filer; starting the goroutine
before NewFiler assigns it could panic when startup exceeds an interval.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: keep remote cache vacuum intent across retries

Evicted entries now record their chunk volumes for vacuum directly, so
the intent survives whoever consumes the shared deletion queue first.
A pending volume keeps several vacuum attempts so tombstones that land
late are still compacted, and the janitor retries pending volumes under
the reclaim mutex instead of flushing unrelated deletes every tick.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: bound each remote cache vacuum request independently

A shared 30s deadline across pending volumes let one slow compaction
cancel the rest. Each VacuumVolume now gets its own context, and pending
volumes keep more attempts since the master reports request acceptance
rather than compaction.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test: tighten remote cache reclamation bound

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: treat chunk timestamp changes as content changes

chunksEqual now also compares ModifiedTsNs so an update that rewrites a
chunk record still invalidates the remote sync stamp.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: run remote cache queue flush under the reclaim context

BatchDelete for flushed file ids now uses the caller's context instead of
context.Background(), so a reclaim pass bounded by shutdown or timeout
stops its deletes too. Other callers keep their existing behavior.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: scope remote cache vacuum to evicted volumes

The flush no longer feeds the shared deletion queue's ids into the
pending set — only evicted chunks' volumes are tracked, so ordinary
deletions no longer pick up repeated vacuum attempts. The flush also
runs under a shutdown-immune bounded context and is skipped when no
volume is pending.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: retry remote cache vacuums even after unmount

Pending volumes were only retried while a remote mount existed; removing
the last mount skipped every later pass and left evicted bytes allocated.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* filer: reclaim partial cache fills that run out of capacity

A fill that fails midway queues its written chunks for deletion, but
when no entries remain evictable the reclaim pass found no pending
volumes and skipped the flush and vacuum entirely, leaving the partial
garbage to the slow periodic vacuum while the disk stayed full. Mark
the failed fill's chunk volumes pending so the pass tombstones and
compacts them even when nothing was evicted.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-29 22:05:42 +08:00

643 lines
22 KiB
Go

package filer
import (
"container/heap"
"context"
"fmt"
"strings"
"sync"
"time"
"google.golang.org/grpc"
"github.com/seaweedfs/seaweedfs/weed/storage"
"github.com/seaweedfs/seaweedfs/weed/util"
"github.com/seaweedfs/seaweedfs/weed/glog"
"github.com/seaweedfs/seaweedfs/weed/operation"
"github.com/seaweedfs/seaweedfs/weed/pb/filer_pb"
"github.com/seaweedfs/seaweedfs/weed/pb/volume_server_pb"
"github.com/seaweedfs/seaweedfs/weed/wdclient"
)
const (
// Maximum number of retry attempts for failed deletions
MaxRetryAttempts = 10
// Initial retry delay (will be doubled with each attempt)
InitialRetryDelay = 5 * time.Minute
// Maximum retry delay
MaxRetryDelay = 6 * time.Hour
// Interval for checking retry queue for ready items
DeletionRetryPollInterval = 1 * time.Minute
// Maximum number of items to process per retry iteration
DeletionRetryBatchSize = 1000
// Maximum number of error details to include in log messages
MaxLoggedErrorDetails = 10
// Interval for polling the deletion queue for new items
// Using a prime number to de-synchronize with other periodic tasks
DeletionPollInterval = 1123 * time.Millisecond
// Maximum number of file IDs to delete per batch (roughly 20 bytes per file ID)
DeletionBatchSize = 100000
)
// retryablePatterns contains transient conditions specific to the deletion
// pipeline, on top of the network and service failures util.IsTransientErrorMessage
// already covers.
//
// Context cancellation counts as retryable here but not in util: this decides
// whether to requeue the deletion, not whether to retry a call, and a cancelled
// batch leaves the file still needing deletion.
var retryablePatterns = []string{
"is read only", // Volume temporarily read-only (tiering, maintenance)
"error reading from server", // Network I/O errors
"closed network connection", // Network connection closed unexpectedly
"timeout", // Operation timeout (network or server)
"deadline exceeded", // Context deadline exceeded
"context canceled", // Context cancellation
"lookup error", // Volume lookup failures
"lookup failed", // Volume server discovery issues
"too many requests", // Rate limiting / backpressure
"try again", // Explicit retry suggestion
}
// DeletionRetryItem represents a file deletion that failed and needs to be retried
type DeletionRetryItem struct {
FileId string
RetryCount int
NextRetryAt time.Time
LastError string
heapIndex int // index in the heap (for heap.Interface)
inFlight bool // true when item is being processed, prevents duplicate additions
}
// retryHeap implements heap.Interface for DeletionRetryItem
// Items are ordered by NextRetryAt (earliest first)
type retryHeap []*DeletionRetryItem
// Compile-time assertion that retryHeap implements heap.Interface
var _ heap.Interface = (*retryHeap)(nil)
func (h retryHeap) Len() int { return len(h) }
func (h retryHeap) Less(i, j int) bool {
return h[i].NextRetryAt.Before(h[j].NextRetryAt)
}
func (h retryHeap) Swap(i, j int) {
h[i], h[j] = h[j], h[i]
h[i].heapIndex = i
h[j].heapIndex = j
}
func (h *retryHeap) Push(x any) {
item := x.(*DeletionRetryItem)
item.heapIndex = len(*h)
*h = append(*h, item)
}
func (h *retryHeap) Pop() any {
old := *h
n := len(old)
item := old[n-1]
old[n-1] = nil // avoid memory leak
item.heapIndex = -1 // mark as removed
*h = old[0 : n-1]
return item
}
// DeletionRetryQueue manages the queue of failed deletions that need to be retried.
// Uses a min-heap ordered by NextRetryAt for efficient retrieval of ready items.
//
// LIMITATION: Current implementation stores retry queue in memory only.
// On filer restart, all pending retries are lost. With MaxRetryDelay up to 6 hours,
// process restarts during this window will cause retry state loss.
//
// TODO: Consider persisting retry queue to durable storage for production resilience:
// - Option 1: Leverage existing Filer store (KV operations)
// - Option 2: Periodic snapshots to disk with recovery on startup
// - Option 3: Write-ahead log for retry queue mutations
// - Trade-offs: Performance vs durability, complexity vs reliability
//
// For now, accepting in-memory storage as pragmatic initial implementation.
// Lost retries will be eventually consistent as files remain in deletion queue.
type DeletionRetryQueue struct {
heap retryHeap
itemIndex map[string]*DeletionRetryItem // for O(1) lookup by FileId
lock sync.Mutex
}
// NewDeletionRetryQueue creates a new retry queue
func NewDeletionRetryQueue() *DeletionRetryQueue {
q := &DeletionRetryQueue{
heap: make(retryHeap, 0),
itemIndex: make(map[string]*DeletionRetryItem),
}
heap.Init(&q.heap)
return q
}
// calculateBackoff calculates the exponential backoff delay for a given retry count.
// Uses exponential backoff formula: InitialRetryDelay * 2^(retryCount-1)
// The first retry (retryCount=1) uses InitialRetryDelay, second uses 2x, third uses 4x, etc.
// Includes overflow protection and caps at MaxRetryDelay.
func calculateBackoff(retryCount int) time.Duration {
// The first retry is attempt 1, but shift should start at 0
if retryCount <= 1 {
return InitialRetryDelay
}
shiftAmount := uint(retryCount - 1)
// time.Duration is an int64. A left shift of 63 or more will result in a
// negative number or zero. The multiplication can also overflow much earlier
// (around a shift of 25 for a 5-minute initial delay).
// The `delay <= 0` check below correctly catches all these overflow cases.
delay := InitialRetryDelay << shiftAmount
if delay <= 0 || delay > MaxRetryDelay {
return MaxRetryDelay
}
return delay
}
// AddOrUpdate adds a new failed deletion or updates an existing one
// Time complexity: O(log N) for insertion/update
func (q *DeletionRetryQueue) AddOrUpdate(fileId string, errorMsg string) {
q.lock.Lock()
defer q.lock.Unlock()
// Check if item already exists (including in-flight items)
if item, exists := q.itemIndex[fileId]; exists {
// Item is already in the queue or being processed. Just update the error.
// The existing retry schedule should proceed.
// RetryCount is only incremented in RequeueForRetry when an actual retry is performed.
item.LastError = errorMsg
if item.inFlight {
glog.V(2).Infof("retry for %s in-flight: attempt %d, will preserve retry state", fileId, item.RetryCount)
} else {
glog.V(2).Infof("retry for %s already scheduled: attempt %d, next retry in %v", fileId, item.RetryCount, time.Until(item.NextRetryAt))
}
return
}
// Add new item
delay := InitialRetryDelay
item := &DeletionRetryItem{
FileId: fileId,
RetryCount: 1,
NextRetryAt: time.Now().Add(delay),
LastError: errorMsg,
inFlight: false,
}
heap.Push(&q.heap, item)
q.itemIndex[fileId] = item
glog.V(2).Infof("added retry for %s: next retry in %v", fileId, delay)
}
// RequeueForRetry re-adds a previously failed item back to the queue with incremented retry count.
// This method MUST be used when re-queuing items from processRetryBatch to preserve retry state.
// Time complexity: O(log N) for insertion
func (q *DeletionRetryQueue) RequeueForRetry(item *DeletionRetryItem, errorMsg string) {
q.lock.Lock()
defer q.lock.Unlock()
// Increment retry count
item.RetryCount++
item.LastError = errorMsg
// Calculate next retry time with exponential backoff
delay := calculateBackoff(item.RetryCount)
item.NextRetryAt = time.Now().Add(delay)
item.inFlight = false // Clear in-flight flag
glog.V(2).Infof("requeued retry for %s: attempt %d, next retry in %v", item.FileId, item.RetryCount, delay)
// Re-add to heap (item still in itemIndex)
heap.Push(&q.heap, item)
}
// GetReadyItems returns items that are ready to be retried and marks them as in-flight
// Time complexity: O(K log N) where K is the number of ready items
// Items are processed in order of NextRetryAt (earliest first)
func (q *DeletionRetryQueue) GetReadyItems(maxItems int) []*DeletionRetryItem {
q.lock.Lock()
defer q.lock.Unlock()
now := time.Now()
var readyItems []*DeletionRetryItem
// Peek at items from the top of the heap (earliest NextRetryAt)
for len(q.heap) > 0 && len(readyItems) < maxItems {
item := q.heap[0]
// If the earliest item is not ready yet, no other items are ready either
if item.NextRetryAt.After(now) {
break
}
// Remove from heap but keep in itemIndex with inFlight flag
heap.Pop(&q.heap)
if item.RetryCount <= MaxRetryAttempts {
item.inFlight = true // Mark as being processed
readyItems = append(readyItems, item)
} else {
// Max attempts reached, log and discard completely
delete(q.itemIndex, item.FileId)
glog.Warningf("max retry attempts (%d) reached for %s, last error: %s", MaxRetryAttempts, item.FileId, item.LastError)
}
}
return readyItems
}
// Remove removes an item from the queue (called when deletion succeeds or fails permanently)
// Time complexity: O(1)
func (q *DeletionRetryQueue) Remove(item *DeletionRetryItem) {
q.lock.Lock()
defer q.lock.Unlock()
// Item was already removed from heap by GetReadyItems, just remove from index
delete(q.itemIndex, item.FileId)
}
// Size returns the current size of the retry queue
func (q *DeletionRetryQueue) Size() int {
q.lock.Lock()
defer q.lock.Unlock()
return len(q.heap)
}
func LookupByMasterClientFn(masterClient *wdclient.MasterClient) func(vids []string) (map[string]*operation.LookupResult, error) {
return func(vids []string) (map[string]*operation.LookupResult, error) {
m := make(map[string]*operation.LookupResult)
for _, vid := range vids {
locs, _ := masterClient.GetVidLocations(vid)
var locations []operation.Location
for _, loc := range locs {
locations = append(locations, operation.Location{
Url: loc.Url,
PublicUrl: loc.PublicUrl,
GrpcPort: loc.GrpcPort,
})
}
m[vid] = &operation.LookupResult{
VolumeOrFileId: vid,
Locations: locations,
}
}
return m, nil
}
}
func (f *Filer) loopProcessingDeletion() {
lookupFunc := LookupByMasterClientFn(f.MasterClient)
// Start retry processor in a separate goroutine
go f.loopProcessingDeletionRetry(lookupFunc)
ticker := time.NewTicker(DeletionPollInterval)
defer ticker.Stop()
for {
select {
case <-f.deletionQuit:
glog.V(0).Infof("deletion processor shutting down")
return
case <-ticker.C:
f.FlushFileIdDeletionQueue(context.Background(), lookupFunc)
}
}
}
func (f *Filer) FlushFileIdDeletionQueue(ctx context.Context, lookupFunc func([]string) (map[string]*operation.LookupResult, error)) (consumed []string) {
f.FileIdDeletionQueue.Consume(func(fileIds []string) {
consumed = fileIds
for i := 0; i < len(fileIds); i += DeletionBatchSize {
end := i + DeletionBatchSize
if end > len(fileIds) {
end = len(fileIds)
}
f.processDeletionBatch(ctx, fileIds[i:end], lookupFunc)
}
})
return consumed
}
// processDeletionBatch handles deletion of a batch of file IDs and processes results.
// It classifies errors into retryable and permanent categories, adds retryable failures
// to the retry queue, and logs appropriate messages.
func (f *Filer) processDeletionBatch(ctx context.Context, toDeleteFileIds []string, lookupFunc func([]string) (map[string]*operation.LookupResult, error)) {
// Deduplicate file IDs to prevent incorrect retry count increments for the same file ID within a single batch.
uniqueFileIdsSlice := make([]string, 0, len(toDeleteFileIds))
processed := make(map[string]struct{}, len(toDeleteFileIds))
for _, fileId := range toDeleteFileIds {
if _, found := processed[fileId]; !found {
processed[fileId] = struct{}{}
uniqueFileIdsSlice = append(uniqueFileIdsSlice, fileId)
}
}
if len(uniqueFileIdsSlice) == 0 {
return
}
// Delete files and classify outcomes
outcomes := deleteFilesAndClassify(ctx, f.GrpcDialOption, uniqueFileIdsSlice, lookupFunc)
// Process outcomes
var successCount, notFoundCount, retryableErrorCount, permanentErrorCount int
var errorDetails []string
for _, fileId := range uniqueFileIdsSlice {
outcome := outcomes[fileId]
switch outcome.status {
case deletionOutcomeSuccess:
successCount++
case deletionOutcomeNotFound:
notFoundCount++
case deletionOutcomeRetryable, deletionOutcomeNoResult:
retryableErrorCount++
f.DeletionRetryQueue.AddOrUpdate(fileId, outcome.errorMsg)
if len(errorDetails) < MaxLoggedErrorDetails {
errorDetails = append(errorDetails, fileId+": "+outcome.errorMsg+" (will retry)")
}
case deletionOutcomePermanent:
permanentErrorCount++
if len(errorDetails) < MaxLoggedErrorDetails {
errorDetails = append(errorDetails, fileId+": "+outcome.errorMsg+" (permanent)")
}
}
}
if successCount > 0 || notFoundCount > 0 {
glog.V(2).Infof("deleted %d files successfully, %d already deleted (not found)", successCount, notFoundCount)
}
totalErrors := retryableErrorCount + permanentErrorCount
if totalErrors > 0 {
logMessage := fmt.Sprintf("failed to delete %d/%d files (%d retryable, %d permanent)",
totalErrors, len(uniqueFileIdsSlice), retryableErrorCount, permanentErrorCount)
if len(errorDetails) > 0 {
if totalErrors > MaxLoggedErrorDetails {
logMessage += fmt.Sprintf(" (showing first %d)", len(errorDetails))
}
glog.V(0).Infof("%s: %v", logMessage, strings.Join(errorDetails, "; "))
} else {
glog.V(0).Info(logMessage)
}
}
if f.DeletionRetryQueue.Size() > 0 {
glog.V(2).Infof("retry queue size: %d", f.DeletionRetryQueue.Size())
}
}
const (
deletionOutcomeSuccess = "success"
deletionOutcomeNotFound = "not_found"
deletionOutcomeRetryable = "retryable"
deletionOutcomePermanent = "permanent"
deletionOutcomeNoResult = "no_result"
)
// deletionOutcome represents the result of classifying deletion results for a file
type deletionOutcome struct {
status string // One of the deletionOutcome* constants
errorMsg string
}
// deleteFilesAndClassify performs deletion and classifies outcomes for a list of file IDs
func deleteFilesAndClassify(ctx context.Context, grpcDialOption grpc.DialOption, fileIds []string, lookupFunc func([]string) (map[string]*operation.LookupResult, error)) map[string]deletionOutcome {
// Perform deletion
results := operation.DeleteFileIdsWithLookupVolumeId(ctx, grpcDialOption, fileIds, lookupFunc)
// Group results by file ID to handle multiple results for replicated volumes
resultsByFileId := make(map[string][]*volume_server_pb.DeleteResult)
for _, result := range results {
resultsByFileId[result.FileId] = append(resultsByFileId[result.FileId], result)
}
// Classify outcome for each file
outcomes := make(map[string]deletionOutcome, len(fileIds))
for _, fileId := range fileIds {
outcomes[fileId] = classifyDeletionOutcome(fileId, resultsByFileId)
}
return outcomes
}
// classifyDeletionOutcome examines all deletion results for a file ID and determines the overall outcome
// Uses a single pass through results with early return for permanent errors (highest priority)
// Priority: Permanent > Retryable > Success > Not Found
func classifyDeletionOutcome(fileId string, resultsByFileId map[string][]*volume_server_pb.DeleteResult) deletionOutcome {
fileIdResults, found := resultsByFileId[fileId]
if !found || len(fileIdResults) == 0 {
return deletionOutcome{
status: deletionOutcomeNoResult,
errorMsg: "no deletion result from volume server",
}
}
var firstRetryableError string
hasSuccess := false
for _, res := range fileIdResults {
if res.Error == "" {
hasSuccess = true
continue
}
if strings.Contains(res.Error, storage.ErrorDeleted.Error()) || res.Error == "not found" {
continue
}
if isRetryableError(res.Error) {
if firstRetryableError == "" {
firstRetryableError = res.Error
}
} else {
// Permanent error takes highest precedence - return immediately
return deletionOutcome{status: deletionOutcomePermanent, errorMsg: res.Error}
}
}
if firstRetryableError != "" {
return deletionOutcome{status: deletionOutcomeRetryable, errorMsg: firstRetryableError}
}
if hasSuccess {
return deletionOutcome{status: deletionOutcomeSuccess, errorMsg: ""}
}
// If we are here, all results were "not found"
return deletionOutcome{status: deletionOutcomeNotFound, errorMsg: ""}
}
// isRetryableError determines if an error is retryable based on its message.
//
// Current implementation uses string matching which is brittle and may break
// if error messages change in dependencies. This is acceptable for the initial
// implementation but should be improved in the future.
//
// TODO: Consider these improvements for more robust error handling:
// - Pass DeleteResult instead of just error string to access Status codes
// - Use HTTP status codes (503 Service Unavailable, 429 Too Many Requests, etc.)
// - Implement structured error types that can be checked with errors.Is/errors.As
// - Extract and check gRPC status codes for better classification
// - Add error wrapping in the deletion pipeline to preserve error context
//
// For now, we use conservative string matching for known transient error patterns.
func isRetryableError(errorMsg string) bool {
// Empty errors are not retryable
if errorMsg == "" {
return false
}
if util.IsTransientErrorMessage(errorMsg) {
return true
}
errorLower := strings.ToLower(errorMsg)
for _, pattern := range retryablePatterns {
if strings.Contains(errorLower, pattern) {
return true
}
}
return false
}
// loopProcessingDeletionRetry processes the retry queue for failed deletions
func (f *Filer) loopProcessingDeletionRetry(lookupFunc func([]string) (map[string]*operation.LookupResult, error)) {
ticker := time.NewTicker(DeletionRetryPollInterval)
defer ticker.Stop()
for {
select {
case <-f.deletionQuit:
glog.V(0).Infof("retry processor shutting down, %d items remaining in queue", f.DeletionRetryQueue.Size())
return
case <-ticker.C:
// Process all ready items in batches until queue is empty
totalProcessed := 0
for {
readyItems := f.DeletionRetryQueue.GetReadyItems(DeletionRetryBatchSize)
if len(readyItems) == 0 {
break
}
f.processRetryBatch(readyItems, lookupFunc)
totalProcessed += len(readyItems)
}
if totalProcessed > 0 {
glog.V(1).Infof("retried deletion of %d files", totalProcessed)
}
}
}
}
// processRetryBatch attempts to retry deletion of files and processes results.
// Successfully deleted items are removed from tracking, retryable failures are
// re-queued with updated retry counts, and permanent errors are logged and discarded.
func (f *Filer) processRetryBatch(readyItems []*DeletionRetryItem, lookupFunc func([]string) (map[string]*operation.LookupResult, error)) {
// Extract file IDs from retry items
fileIds := make([]string, 0, len(readyItems))
for _, item := range readyItems {
fileIds = append(fileIds, item.FileId)
}
// Delete files and classify outcomes
outcomes := deleteFilesAndClassify(context.Background(), f.GrpcDialOption, fileIds, lookupFunc)
// Process outcomes - iterate over readyItems to ensure all items are accounted for
var successCount, notFoundCount, retryCount, permanentErrorCount int
for _, item := range readyItems {
outcome := outcomes[item.FileId]
switch outcome.status {
case deletionOutcomeSuccess:
successCount++
f.DeletionRetryQueue.Remove(item) // Remove from queue (success)
glog.V(2).Infof("retry successful for %s after %d attempts", item.FileId, item.RetryCount)
case deletionOutcomeNotFound:
notFoundCount++
f.DeletionRetryQueue.Remove(item) // Remove from queue (already deleted)
case deletionOutcomeRetryable, deletionOutcomeNoResult:
retryCount++
if outcome.status == deletionOutcomeNoResult {
glog.Warningf("no deletion result for retried file %s, re-queuing to avoid loss", item.FileId)
}
f.DeletionRetryQueue.RequeueForRetry(item, outcome.errorMsg)
case deletionOutcomePermanent:
permanentErrorCount++
f.DeletionRetryQueue.Remove(item) // Remove from queue (permanent failure)
glog.Warningf("permanent error on retry for %s after %d attempts: %s", item.FileId, item.RetryCount, outcome.errorMsg)
}
}
if successCount > 0 || notFoundCount > 0 {
glog.V(1).Infof("retry: deleted %d files successfully, %d already deleted", successCount, notFoundCount)
}
if retryCount > 0 {
glog.V(1).Infof("retry: %d files still failing, will retry again later", retryCount)
}
if permanentErrorCount > 0 {
glog.Warningf("retry: %d files failed with permanent errors", permanentErrorCount)
}
}
func (f *Filer) DeleteUncommittedChunks(ctx context.Context, chunks []*filer_pb.FileChunk) {
f.doDeleteChunks(ctx, chunks)
}
func (f *Filer) DeleteChunks(ctx context.Context, fullpath util.FullPath, chunks []*filer_pb.FileChunk) {
rule := f.FilerConf.MatchStorageRule(string(fullpath))
if rule.DisableChunkDeletion {
return
}
f.doDeleteChunks(ctx, chunks)
}
func (f *Filer) doDeleteChunks(ctx context.Context, chunks []*filer_pb.FileChunk) {
for _, chunk := range chunks {
if !chunk.IsChunkManifest {
f.FileIdDeletionQueue.EnQueue(chunk.GetFileIdString())
continue
}
dataChunks, manifestResolveErr := ResolveOneChunkManifest(ctx, f.MasterClient.LookupFileId, chunk, f.MasterClient)
if manifestResolveErr != nil {
glog.V(0).InfofCtx(ctx, "failed to resolve manifest %s: %v", chunk.FileId, manifestResolveErr)
}
for _, dChunk := range dataChunks {
f.FileIdDeletionQueue.EnQueue(dChunk.GetFileIdString())
}
f.FileIdDeletionQueue.EnQueue(chunk.GetFileIdString())
}
}
func (f *Filer) DeleteChunksNotRecursive(chunks []*filer_pb.FileChunk) {
for _, chunk := range chunks {
f.FileIdDeletionQueue.EnQueue(chunk.GetFileIdString())
}
}
func (f *Filer) deleteChunksIfNotNew(ctx context.Context, oldEntry, newEntry *Entry) {
var oldChunks, newChunks []*filer_pb.FileChunk
if oldEntry != nil {
oldChunks = oldEntry.GetChunks()
}
if newEntry != nil {
newChunks = newEntry.GetChunks()
}
toDelete, err := MinusChunks(ctx, f.MasterClient.GetLookupFileIdFunction(), oldChunks, newChunks, f.MasterClient)
if err != nil {
glog.ErrorfCtx(ctx, "Failed to resolve old entry chunks when delete old entry chunks. new: %s, old: %s", newChunks, oldChunks)
return
}
f.DeleteChunksNotRecursive(toDelete)
}