minio/cmd/data-scanner.go

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// Copyright (c) 2015-2021 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.
package cmd
import (
"bytes"
"context"
"encoding/binary"
"errors"
"math"
"math/rand"
"net/http"
"os"
"path"
"strings"
"sync"
"sync/atomic"
"time"
"github.com/bits-and-blooms/bloom/v3"
"github.com/minio/madmin-go"
"github.com/minio/minio/internal/bucket/lifecycle"
"github.com/minio/minio/internal/bucket/replication"
"github.com/minio/minio/internal/color"
"github.com/minio/minio/internal/config/heal"
"github.com/minio/minio/internal/event"
"github.com/minio/minio/internal/hash"
"github.com/minio/minio/internal/logger"
"github.com/minio/pkg/console"
)
const (
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
dataScannerSleepPerFolder = time.Millisecond // Time to wait between folders.
dataUsageUpdateDirCycles = 16 // Visit all folders every n cycles.
dataScannerCompactLeastObject = 500 // Compact when there is less than this many objects in a branch.
dataScannerCompactAtChildren = 10000 // Compact when there are this many children in a branch.
dataScannerCompactAtFolders = dataScannerCompactAtChildren / 4 // Compact when this many subfolders in a single folder.
dataScannerStartDelay = 1 * time.Minute // Time to wait on startup and between cycles.
healDeleteDangling = true
healFolderIncludeProb = 32 // Include a clean folder one in n cycles.
healObjectSelectProb = 512 // Overall probability of a file being scanned; one in n.
)
var (
globalHealConfig heal.Config
dataScannerLeaderLockTimeout = newDynamicTimeout(30*time.Second, 10*time.Second)
// Sleeper values are updated when config is loaded.
scannerSleeper = newDynamicSleeper(10, 10*time.Second)
scannerCycle = &safeDuration{
t: dataScannerStartDelay,
}
)
// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
go runDataScanner(ctx, objAPI)
}
type safeDuration struct {
sync.Mutex
t time.Duration
}
func (s *safeDuration) Update(t time.Duration) {
s.Lock()
defer s.Unlock()
s.t = t
}
func (s *safeDuration) Get() time.Duration {
s.Lock()
defer s.Unlock()
return s.t
}
// runDataScanner will start a data scanner.
// The function will block until the context is canceled.
// There should only ever be one scanner running per cluster.
func runDataScanner(pctx context.Context, objAPI ObjectLayer) {
// Make sure only 1 scanner is running on the cluster.
locker := objAPI.NewNSLock(minioMetaBucket, "runDataScanner.lock")
var ctx context.Context
r := rand.New(rand.NewSource(time.Now().UnixNano()))
for {
lkctx, err := locker.GetLock(pctx, dataScannerLeaderLockTimeout)
if err != nil {
time.Sleep(time.Duration(r.Float64() * float64(scannerCycle.Get())))
continue
}
ctx = lkctx.Context()
defer lkctx.Cancel()
break
// No unlock for "leader" lock.
}
// Load current bloom cycle
nextBloomCycle := intDataUpdateTracker.current() + 1
br, err := objAPI.GetObjectNInfo(ctx, dataUsageBucket, dataUsageBloomName, nil, http.Header{}, readLock, ObjectOptions{})
if err != nil {
if !isErrObjectNotFound(err) && !isErrBucketNotFound(err) {
logger.LogIf(ctx, err)
}
} else {
if br.ObjInfo.Size == 8 {
if err = binary.Read(br, binary.LittleEndian, &nextBloomCycle); err != nil {
logger.LogIf(ctx, err)
}
}
br.Close()
}
scannerTimer := time.NewTimer(scannerCycle.Get())
defer scannerTimer.Stop()
for {
select {
case <-ctx.Done():
return
case <-scannerTimer.C:
// Reset the timer for next cycle.
scannerTimer.Reset(scannerCycle.Get())
if intDataUpdateTracker.debug {
console.Debugln("starting scanner cycle")
}
// Wait before starting next cycle and wait on startup.
results := make(chan DataUsageInfo, 1)
go storeDataUsageInBackend(ctx, objAPI, results)
bf, err := globalNotificationSys.updateBloomFilter(ctx, nextBloomCycle)
logger.LogIf(ctx, err)
err = objAPI.NSScanner(ctx, bf, results, uint32(nextBloomCycle))
logger.LogIf(ctx, err)
if err == nil {
// Store new cycle...
nextBloomCycle++
var tmp [8]byte
binary.LittleEndian.PutUint64(tmp[:], nextBloomCycle)
pkg/etag: add new package for S3 ETag handling (#11577) This commit adds a new package `etag` for dealing with S3 ETags. Even though ETag is often viewed as MD5 checksum of an object, handling S3 ETags correctly is a surprisingly complex task. While it is true that the ETag corresponds to the MD5 for the most basic S3 API operations, there are many exceptions in case of multipart uploads or encryption. In worse, some S3 clients expect very specific behavior when it comes to ETags. For example, some clients expect that the ETag is a double-quoted string and fail otherwise. Non-AWS compliant ETag handling has been a source of many bugs in the past. Therefore, this commit adds a dedicated `etag` package that provides functionality for parsing, generating and converting S3 ETags. Further, this commit removes the ETag computation from the `hash` package. Instead, the `hash` package (i.e. `hash.Reader`) should focus only on computing and verifying the content-sha256. One core feature of this commit is to provide a mechanism to communicate a computed ETag from a low-level `io.Reader` to a high-level `io.Reader`. This problem occurs when an S3 server receives a request and has to compute the ETag of the content. However, the server may also wrap the initial body with several other `io.Reader`, e.g. when encrypting or compressing the content: ``` reader := Encrypt(Compress(ETag(content))) ``` In such a case, the ETag should be accessible by the high-level `io.Reader`. The `etag` provides a mechanism to wrap `io.Reader` implementations such that the `ETag` can be accessed by a type-check. This technique is applied to the PUT, COPY and Upload handlers.
2021-02-23 21:31:53 +01:00
r, err := hash.NewReader(bytes.NewReader(tmp[:]), int64(len(tmp)), "", "", int64(len(tmp)))
if err != nil {
logger.LogIf(ctx, err)
continue
}
_, err = objAPI.PutObject(ctx, dataUsageBucket, dataUsageBloomName, NewPutObjReader(r), ObjectOptions{})
if !isErrBucketNotFound(err) {
logger.LogIf(ctx, err)
}
}
}
}
}
type cachedFolder struct {
name string
parent *dataUsageHash
objectHealProbDiv uint32
}
type folderScanner struct {
root string
getSize getSizeFn
oldCache dataUsageCache
newCache dataUsageCache
updateCache dataUsageCache
withFilter *bloomFilter
dataUsageScannerDebug bool
healFolderInclude uint32 // Include a clean folder one in n cycles.
healObjectSelect uint32 // Do a heal check on an object once every n cycles. Must divide into healFolderInclude
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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disks []StorageAPI
// If set updates will be sent regularly to this channel.
// Will not be closed when returned.
updates chan<- dataUsageEntry
lastUpdate time.Time
}
type scannerStats struct {
// All fields must be accessed atomically and aligned.
accTotalObjects uint64
accTotalVersions uint64
accFolders uint64
bucketsStarted uint64
bucketsFinished uint64
ilmChecks uint64
// actions records actions performed.
actions [lifecycle.ActionCount]uint64
}
var globalScannerStats scannerStats
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// Cache structure and compaction:
//
// A cache structure will be kept with a tree of usages.
// The cache is a tree structure where each keeps track of its children.
//
// An uncompacted branch contains a count of the files only directly at the
// branch level, and contains link to children branches or leaves.
//
// The leaves are "compacted" based on a number of properties.
// A compacted leaf contains the totals of all files beneath it.
//
// A leaf is only scanned once every dataUsageUpdateDirCycles,
// rarer if the bloom filter for the path is clean and no lifecycles are applied.
// Skipped leaves have their totals transferred from the previous cycle.
//
// A clean leaf will be included once every healFolderIncludeProb for partial heal scans.
// When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan.
//
// Compaction happens when either:
//
// 1) The folder (and subfolders) contains less than dataScannerCompactLeastObject objects.
// 2) The folder itself contains more than dataScannerCompactAtFolders folders.
// 3) The folder only contains objects and no subfolders.
//
// A bucket root will never be compacted.
//
// Furthermore if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders)
// the tree will be recursively scanned and the branches with the least number of objects will be
// compacted until the limit is reached.
//
// This ensures that any branch will never contain an unreasonable amount of other branches,
// and also that small branches with few objects don't take up unreasonable amounts of space.
// This keeps the cache size at a reasonable size for all buckets.
//
// Whenever a branch is scanned, it is assumed that it will be un-compacted
// before it hits any of the above limits.
// This will make the branch rebalance itself when scanned if the distribution of objects has changed.
// scanDataFolder will scanner the basepath+cache.Info.Name and return an updated cache.
// The returned cache will always be valid, but may not be updated from the existing.
// Before each operation sleepDuration is called which can be used to temporarily halt the scanner.
// If the supplied context is canceled the function will return at the first chance.
func scanDataFolder(ctx context.Context, basePath string, cache dataUsageCache, getSize getSizeFn) (dataUsageCache, error) {
t := UTCNow()
logPrefix := color.Green("data-usage: ")
logSuffix := color.Blue("- %v + %v", basePath, cache.Info.Name)
atomic.AddUint64(&globalScannerStats.bucketsStarted, 1)
defer func() {
atomic.AddUint64(&globalScannerStats.bucketsFinished, 1)
}()
if intDataUpdateTracker.debug {
defer func() {
console.Debugf(logPrefix+" Scanner time: %v %s\n", time.Since(t), logSuffix)
}()
}
switch cache.Info.Name {
case "", dataUsageRoot:
return cache, errors.New("internal error: root scan attempted")
}
s := folderScanner{
root: basePath,
getSize: getSize,
oldCache: cache,
newCache: dataUsageCache{Info: cache.Info},
updateCache: dataUsageCache{Info: cache.Info},
dataUsageScannerDebug: intDataUpdateTracker.debug,
healFolderInclude: 0,
healObjectSelect: 0,
updates: cache.Info.updates,
}
// Add disks for set healing.
if len(cache.Disks) > 0 {
2020-12-01 22:50:33 +01:00
objAPI, ok := newObjectLayerFn().(*erasureServerPools)
if ok {
s.disks = objAPI.GetDisksID(cache.Disks...)
if len(s.disks) != len(cache.Disks) {
console.Debugf(logPrefix+"Missing disks, want %d, found %d. Cannot heal. %s\n", len(cache.Disks), len(s.disks), logSuffix)
s.disks = s.disks[:0]
}
}
}
// Enable healing in XL mode.
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
if globalIsErasure && !cache.Info.SkipHealing {
// Include a clean folder one in n cycles.
s.healFolderInclude = healFolderIncludeProb
// Do a heal check on an object once every n cycles. Must divide into healFolderInclude
s.healObjectSelect = healObjectSelectProb
}
if len(cache.Info.BloomFilter) > 0 {
s.withFilter = &bloomFilter{BloomFilter: &bloom.BloomFilter{}}
_, err := s.withFilter.ReadFrom(bytes.NewReader(cache.Info.BloomFilter))
if err != nil {
logger.LogIf(ctx, err, logPrefix+"Error reading bloom filter")
s.withFilter = nil
}
}
if s.dataUsageScannerDebug {
console.Debugf(logPrefix+"Start scanning. Bloom filter: %v %s\n", s.withFilter != nil, logSuffix)
}
done := ctx.Done()
if s.dataUsageScannerDebug {
console.Debugf(logPrefix+"Cycle: %v, Entries: %v %s\n", cache.Info.NextCycle, len(cache.Cache), logSuffix)
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// Read top level in bucket.
select {
case <-done:
return cache, ctx.Err()
default:
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
root := dataUsageEntry{}
folder := cachedFolder{name: cache.Info.Name, objectHealProbDiv: 1}
err := s.scanFolder(ctx, folder, &root)
if err != nil {
// No useful information...
return cache, err
}
if s.dataUsageScannerDebug {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
console.Debugf(logPrefix+"Finished scanner, %v entries (%+v) %s \n", len(s.newCache.Cache), *s.newCache.sizeRecursive(s.newCache.Info.Name), logSuffix)
}
s.newCache.Info.LastUpdate = UTCNow()
s.newCache.Info.NextCycle = cache.Info.NextCycle
return s.newCache, nil
}
// sendUpdate() should be called on a regular basis when the newCache contains more recent total than previously.
// May or may not send an update upstream.
func (f *folderScanner) sendUpdate() {
// Send at most an update every minute.
if f.updates == nil || time.Since(f.lastUpdate) < time.Minute {
return
}
if flat := f.updateCache.sizeRecursive(f.newCache.Info.Name); flat != nil {
select {
case f.updates <- *flat:
default:
}
f.lastUpdate = time.Now()
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// scanFolder will scan the provided folder.
// Files found in the folders will be added to f.newCache.
// If final is provided folders will be put into f.newFolders or f.existingFolders.
// If final is not provided the folders found are returned from the function.
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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func (f *folderScanner) scanFolder(ctx context.Context, folder cachedFolder, into *dataUsageEntry) error {
done := ctx.Done()
scannerLogPrefix := color.Green("folder-scanner:")
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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thisHash := hashPath(folder.name)
// Store initial compaction state.
wasCompacted := into.Compacted
atomic.AddUint64(&globalScannerStats.accFolders, 1)
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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for {
select {
case <-done:
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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return ctx.Err()
default:
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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existing, ok := f.oldCache.Cache[thisHash.Key()]
var abandonedChildren dataUsageHashMap
if !into.Compacted {
abandonedChildren = f.oldCache.findChildrenCopy(thisHash)
}
// If there are lifecycle rules for the prefix, remove the filter.
filter := f.withFilter
_, prefix := path2BucketObjectWithBasePath(f.root, folder.name)
var activeLifeCycle *lifecycle.Lifecycle
if f.oldCache.Info.lifeCycle != nil && f.oldCache.Info.lifeCycle.HasActiveRules(prefix, true) {
if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" Prefix %q has active rules\n", prefix)
}
activeLifeCycle = f.oldCache.Info.lifeCycle
filter = nil
}
// If there are replication rules for the prefix, remove the filter.
var replicationCfg replicationConfig
if !f.oldCache.Info.replication.Empty() && f.oldCache.Info.replication.Config.HasActiveRules(prefix, true) {
replicationCfg = f.oldCache.Info.replication
filter = nil
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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// Check if we can skip it due to bloom filter...
if filter != nil && ok && existing.Compacted {
// If folder isn't in filter and we have data, skip it completely.
if folder.name != dataUsageRoot && !filter.containsDir(folder.name) {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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if f.healObjectSelect == 0 || !thisHash.mod(f.oldCache.Info.NextCycle, f.healFolderInclude/folder.objectHealProbDiv) {
f.newCache.copyWithChildren(&f.oldCache, thisHash, folder.parent)
f.updateCache.copyWithChildren(&f.oldCache, thisHash, folder.parent)
if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" Skipping non-updated folder: %v\n", folder.name)
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
return nil
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" Adding non-updated folder to heal check: %v\n", folder.name)
}
// If probability was already scannerHealFolderInclude, keep it.
folder.objectHealProbDiv = f.healFolderInclude
}
}
scannerSleeper.Sleep(ctx, dataScannerSleepPerFolder)
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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var existingFolders, newFolders []cachedFolder
var foundObjects bool
err := readDirFn(path.Join(f.root, folder.name), func(entName string, typ os.FileMode) error {
// Parse
entName = pathClean(path.Join(folder.name, entName))
if entName == "" || entName == folder.name {
if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" no entity (%s,%s)\n", f.root, entName)
}
return nil
}
bucket, prefix := path2BucketObjectWithBasePath(f.root, entName)
if bucket == "" {
if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" no bucket (%s,%s)\n", f.root, entName)
}
return errDoneForNow
}
if isReservedOrInvalidBucket(bucket, false) {
if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" invalid bucket: %v, entry: %v\n", bucket, entName)
}
return errDoneForNow
}
select {
case <-done:
return errDoneForNow
default:
}
if typ&os.ModeDir != 0 {
h := hashPath(entName)
_, exists := f.oldCache.Cache[h.Key()]
if h == thisHash {
return nil
}
this := cachedFolder{name: entName, parent: &thisHash, objectHealProbDiv: folder.objectHealProbDiv}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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delete(abandonedChildren, h.Key()) // h.Key() already accounted for.
if exists {
existingFolders = append(existingFolders, this)
f.updateCache.copyWithChildren(&f.oldCache, h, &thisHash)
} else {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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newFolders = append(newFolders, this)
}
return nil
}
// Dynamic time delay.
wait := scannerSleeper.Timer(ctx)
// Get file size, ignore errors.
item := scannerItem{
Path: path.Join(f.root, entName),
Typ: typ,
bucket: bucket,
prefix: path.Dir(prefix),
objectName: path.Base(entName),
debug: f.dataUsageScannerDebug,
lifeCycle: activeLifeCycle,
replication: replicationCfg,
heal: thisHash.mod(f.oldCache.Info.NextCycle, f.healObjectSelect/folder.objectHealProbDiv) && globalIsErasure,
}
// if the drive belongs to an erasure set
// that is already being healed, skip the
// healing attempt on this drive.
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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item.heal = item.heal && f.healObjectSelect > 0
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
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sz, err := f.getSize(item)
if err != nil {
wait() // wait to proceed to next entry.
if err != errSkipFile && f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" getSize \"%v/%v\" returned err: %v\n", bucket, item.objectPath(), err)
}
return nil
}
// successfully read means we have a valid object.
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
foundObjects = true
// Remove filename i.e is the meta file to construct object name
item.transformMetaDir()
// Object already accounted for, remove from heal map,
// simply because getSize() function already heals the
// object.
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
delete(abandonedChildren, path.Join(item.bucket, item.objectPath()))
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
into.addSizes(sz)
into.Objects++
wait() // wait to proceed to next entry.
return nil
})
if err != nil {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
return err
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
if foundObjects && globalIsErasure {
// If we found an object in erasure mode, we skip subdirs (only datadirs)...
break
}
// If we have many subfolders, compact ourself.
if !into.Compacted &&
f.newCache.Info.Name != folder.name &&
len(existingFolders)+len(newFolders) >= dataScannerCompactAtFolders {
into.Compacted = true
newFolders = append(newFolders, existingFolders...)
existingFolders = nil
if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" Preemptively compacting: %v, entries: %v\n", folder.name, len(existingFolders)+len(newFolders))
}
}
scanFolder := func(folder cachedFolder) {
if contextCanceled(ctx) {
return
}
dst := into
if !into.Compacted {
dst = &dataUsageEntry{Compacted: false}
}
if err := f.scanFolder(ctx, folder, dst); err != nil {
logger.LogIf(ctx, err)
return
}
if !into.Compacted {
h := dataUsageHash(folder.name)
into.addChild(h)
// We scanned a folder, optionally send update.
f.updateCache.deleteRecursive(h)
f.updateCache.copyWithChildren(&f.newCache, h, folder.parent)
f.sendUpdate()
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
}
}
// Transfer existing
if !into.Compacted {
for _, folder := range existingFolders {
h := hashPath(folder.name)
f.updateCache.copyWithChildren(&f.oldCache, h, folder.parent)
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// Scan new...
for _, folder := range newFolders {
h := hashPath(folder.name)
// Add new folders to the update tree so totals update for these.
if !into.Compacted {
var foundAny bool
parent := thisHash
for parent != hashPath(f.updateCache.Info.Name) {
e := f.updateCache.find(parent.Key())
if e == nil || e.Compacted {
foundAny = true
break
}
if next := f.updateCache.searchParent(parent); next == nil {
foundAny = true
break
} else {
parent = *next
}
}
if !foundAny {
// Add non-compacted empty entry.
f.updateCache.replaceHashed(h, &thisHash, dataUsageEntry{})
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
scanFolder(folder)
// Add new folders if this is new and we don't have existing.
if !into.Compacted {
parent := f.updateCache.find(thisHash.Key())
if parent != nil && !parent.Compacted {
f.updateCache.deleteRecursive(h)
f.updateCache.copyWithChildren(&f.newCache, h, &thisHash)
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
}
// Scan existing...
for _, folder := range existingFolders {
h := hashPath(folder.name)
// Check if we should skip scanning folder...
// We can only skip if we are not indexing into a compacted destination
// and the entry itself is compacted.
if !into.Compacted && f.oldCache.isCompacted(h) {
if !h.mod(f.oldCache.Info.NextCycle, dataUsageUpdateDirCycles) {
if f.healObjectSelect == 0 || !h.mod(f.oldCache.Info.NextCycle, f.healFolderInclude/folder.objectHealProbDiv) {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// Transfer and add as child...
f.newCache.copyWithChildren(&f.oldCache, h, folder.parent)
into.addChild(h)
continue
}
folder.objectHealProbDiv = dataUsageUpdateDirCycles
}
}
scanFolder(folder)
}
// Scan for healing
if f.healObjectSelect == 0 || len(abandonedChildren) == 0 {
// If we are not heal scanning, return now.
break
}
2020-12-01 22:50:33 +01:00
objAPI, ok := newObjectLayerFn().(*erasureServerPools)
if !ok || len(f.disks) == 0 {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
break
}
bgSeq, found := globalBackgroundHealState.getHealSequenceByToken(bgHealingUUID)
if !found {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
break
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// Whatever remains in 'abandonedChildren' are folders at this level
// that existed in the previous run but wasn't found now.
//
// This may be because of 2 reasons:
//
// 1) The folder/object was deleted.
// 2) We come from another disk and this disk missed the write.
//
// We therefore perform a heal check.
// If that doesn't bring it back we remove the folder and assume it was deleted.
// This means that the next run will not look for it.
// How to resolve results.
resolver := metadataResolutionParams{
dirQuorum: getReadQuorum(len(f.disks)),
objQuorum: getReadQuorum(len(f.disks)),
bucket: "",
}
healObjectsPrefix := color.Green("healObjects:")
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
for k := range abandonedChildren {
bucket, prefix := path2BucketObject(k)
if f.dataUsageScannerDebug {
console.Debugf(scannerLogPrefix+" checking disappeared folder: %v/%v\n", bucket, prefix)
}
if bucket != resolver.bucket {
// Bucket might be missing as well with abandoned children.
// make sure it is created first otherwise healing won't proceed
// for objects.
_, _ = objAPI.HealBucket(ctx, bucket, madmin.HealOpts{})
}
resolver.bucket = bucket
foundObjs := false
ctx, cancel := context.WithCancel(ctx)
err := listPathRaw(ctx, listPathRawOptions{
disks: f.disks,
bucket: bucket,
path: prefix,
recursive: true,
reportNotFound: true,
minDisks: len(f.disks), // We want full consistency.
// Weird, maybe transient error.
agreed: func(entry metaCacheEntry) {
if f.dataUsageScannerDebug {
console.Debugf(healObjectsPrefix+" got agreement: %v\n", entry.name)
}
},
// Some disks have data for this.
partial: func(entries metaCacheEntries, nAgreed int, errs []error) {
if f.dataUsageScannerDebug {
console.Debugf(healObjectsPrefix+" got partial, %d agreed, errs: %v\n", nAgreed, errs)
}
entry, ok := entries.resolve(&resolver)
if !ok {
// check if we can get one entry atleast
// proceed to heal nonetheless, since
// this object might be dangling.
entry, _ = entries.firstFound()
}
if f.dataUsageScannerDebug {
console.Debugf(healObjectsPrefix+" resolved to: %v, dir: %v\n", entry.name, entry.isDir())
}
if entry.isDir() {
return
}
// wait on timer per object.
wait := scannerSleeper.Timer(ctx)
// We got an entry which we should be able to heal.
fiv, err := entry.fileInfoVersions(bucket)
if err != nil {
wait()
err := bgSeq.queueHealTask(healSource{
bucket: bucket,
object: entry.name,
versionID: "",
}, madmin.HealItemObject)
logger.LogIf(ctx, err)
foundObjs = foundObjs || err == nil
return
}
for _, ver := range fiv.Versions {
// Sleep and reset.
wait()
wait = scannerSleeper.Timer(ctx)
err := bgSeq.queueHealTask(healSource{
bucket: bucket,
object: fiv.Name,
versionID: ver.VersionID,
}, madmin.HealItemObject)
logger.LogIf(ctx, err)
foundObjs = foundObjs || err == nil
}
},
// Too many disks failed.
finished: func(errs []error) {
if f.dataUsageScannerDebug {
console.Debugf(healObjectsPrefix+" too many errors: %v\n", errs)
}
cancel()
},
})
if f.dataUsageScannerDebug && err != nil && err != errFileNotFound {
console.Debugf(healObjectsPrefix+" checking returned value %v (%T)\n", err, err)
}
// Add unless healing returned an error.
if foundObjs {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
this := cachedFolder{name: k, parent: &thisHash, objectHealProbDiv: 1}
scanFolder(this)
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
break
}
if !wasCompacted {
f.newCache.replaceHashed(thisHash, folder.parent, *into)
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
if !into.Compacted && f.newCache.Info.Name != folder.name {
flat := f.newCache.sizeRecursive(thisHash.Key())
flat.Compacted = true
var compact bool
if flat.Objects < dataScannerCompactLeastObject {
if f.dataUsageScannerDebug && flat.Objects > 1 {
// Disabled, rather chatty:
//console.Debugf(scannerLogPrefix+" Only %d objects, compacting %s -> %+v\n", flat.Objects, folder.name, flat)
}
compact = true
} else {
// Compact if we only have objects as children...
compact = true
for k := range into.Children {
if v, ok := f.newCache.Cache[k]; ok {
if len(v.Children) > 0 || v.Objects > 1 {
compact = false
break
}
}
}
if f.dataUsageScannerDebug && compact {
// Disabled, rather chatty:
//console.Debugf(scannerLogPrefix+" Only objects (%d), compacting %s -> %+v\n", flat.Objects, folder.name, flat)
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
if compact {
f.newCache.deleteRecursive(thisHash)
f.newCache.replaceHashed(thisHash, folder.parent, *flat)
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// Compact if too many children...
if !into.Compacted {
f.newCache.reduceChildrenOf(thisHash, dataScannerCompactAtChildren, f.newCache.Info.Name != folder.name)
}
if _, ok := f.updateCache.Cache[thisHash.Key()]; !wasCompacted && ok {
// Replace if existed before.
if flat := f.newCache.sizeRecursive(thisHash.Key()); flat != nil {
f.updateCache.deleteRecursive(thisHash)
f.updateCache.replaceHashed(thisHash, folder.parent, *flat)
}
}
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
return nil
}
// scannerItem represents each file while walking.
type scannerItem struct {
Path string
Typ os.FileMode
bucket string // Bucket.
prefix string // Only the prefix if any, does not have final object name.
objectName string // Only the object name without prefixes.
lifeCycle *lifecycle.Lifecycle
replication replicationConfig
heal bool // Has the object been selected for heal check?
debug bool
}
type sizeSummary struct {
totalSize int64
versions uint64
replicatedSize int64
pendingSize int64
failedSize int64
replicaSize int64
pendingCount uint64
failedCount uint64
replTargetStats map[string]replTargetSizeSummary
}
// replTargetSizeSummary holds summary of replication stats by target
type replTargetSizeSummary struct {
replicatedSize int64
pendingSize int64
failedSize int64
pendingCount uint64
failedCount uint64
}
type getSizeFn func(item scannerItem) (sizeSummary, error)
// transformMetaDir will transform a directory to prefix/file.ext
func (i *scannerItem) transformMetaDir() {
split := strings.Split(i.prefix, SlashSeparator)
if len(split) > 1 {
i.prefix = path.Join(split[:len(split)-1]...)
} else {
i.prefix = ""
}
// Object name is last element
i.objectName = split[len(split)-1]
}
var applyActionsLogPrefix = color.Green("applyActions:")
func (i *scannerItem) applyHealing(ctx context.Context, o ObjectLayer, oi ObjectInfo) (size int64) {
if i.debug {
if oi.VersionID != "" {
console.Debugf(applyActionsLogPrefix+" heal checking: %v/%v v(%s)\n", i.bucket, i.objectPath(), oi.VersionID)
} else {
console.Debugf(applyActionsLogPrefix+" heal checking: %v/%v\n", i.bucket, i.objectPath())
}
}
healOpts := madmin.HealOpts{
Remove: healDeleteDangling,
ScanMode: globalHealConfig.ScanMode(),
}
res, err := o.HealObject(ctx, i.bucket, i.objectPath(), oi.VersionID, healOpts)
if err != nil && !errors.Is(err, NotImplemented{}) {
logger.LogIf(ctx, err)
return 0
}
return res.ObjectSize
}
func (i *scannerItem) applyLifecycle(ctx context.Context, o ObjectLayer, oi ObjectInfo) (applied bool, size int64) {
size, err := oi.GetActualSize()
if i.debug {
logger.LogIf(ctx, err)
}
if i.lifeCycle == nil {
if i.debug {
feat: add dynamic usage cache (#12229) A cache structure will be kept with a tree of usages. The cache is a tree structure where each keeps track of its children. An uncompacted branch contains a count of the files only directly at the branch level, and contains link to children branches or leaves. The leaves are "compacted" based on a number of properties. A compacted leaf contains the totals of all files beneath it. A leaf is only scanned once every dataUsageUpdateDirCycles, rarer if the bloom filter for the path is clean and no lifecycles are applied. Skipped leaves have their totals transferred from the previous cycle. A clean leaf will be included once every healFolderIncludeProb for partial heal scans. When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan. Compaction happens when either: - The folder (and subfolders) contains less than dataScannerCompactLeastObject objects. - The folder itself contains more than dataScannerCompactAtFolders folders. - The folder only contains objects and no subfolders. - A bucket root will never be compacted. Furthermore, if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders) the tree will be recursively scanned and the branches with the least number of objects will be compacted until the limit is reached. This ensures that any branch will never contain an unreasonable amount of other branches, and also that small branches with few objects don't take up unreasonable amounts of space. Whenever a branch is scanned, it is assumed that it will be un-compacted before it hits any of the above limits. This will make the branch rebalance itself when scanned if the distribution of objects has changed. TLDR; With current values: No bucket will ever have more than 10000 child nodes recursively. No single folder will have more than 2500 child nodes by itself. All subfolders are compacted if they have less than 500 objects in them recursively. We accumulate the (non-deletemarker) version count for paths as well, since we are changing the structure anyway.
2021-05-12 03:36:15 +02:00
// disabled, very chatty:
// console.Debugf(applyActionsLogPrefix+" no lifecycle rules to apply: %q\n", i.objectPath())
}
return false, size
}
atomic.AddUint64(&globalScannerStats.ilmChecks, 1)
versionID := oi.VersionID
action := i.lifeCycle.ComputeAction(
lifecycle.ObjectOpts{
Name: i.objectPath(),
UserTags: oi.UserTags,
ModTime: oi.ModTime,
VersionID: oi.VersionID,
DeleteMarker: oi.DeleteMarker,
IsLatest: oi.IsLatest,
NumVersions: oi.NumVersions,
SuccessorModTime: oi.SuccessorModTime,
RestoreOngoing: oi.RestoreOngoing,
RestoreExpires: oi.RestoreExpires,
TransitionStatus: oi.TransitionedObject.Status,
})
if i.debug {
if versionID != "" {
console.Debugf(applyActionsLogPrefix+" lifecycle: %q (version-id=%s), Initial scan: %v\n", i.objectPath(), versionID, action)
} else {
console.Debugf(applyActionsLogPrefix+" lifecycle: %q Initial scan: %v\n", i.objectPath(), action)
}
}
atomic.AddUint64(&globalScannerStats.actions[action], 1)
switch action {
case lifecycle.DeleteAction, lifecycle.DeleteVersionAction, lifecycle.DeleteRestoredAction, lifecycle.DeleteRestoredVersionAction:
return applyLifecycleAction(action, oi), 0
case lifecycle.TransitionAction, lifecycle.TransitionVersionAction:
return applyLifecycleAction(action, oi), size
default:
// No action.
return false, size
}
}
// applyTierObjSweep removes remote object pending deletion and the free-version
// tracking this information.
func (i *scannerItem) applyTierObjSweep(ctx context.Context, o ObjectLayer, oi ObjectInfo) {
if !oi.TransitionedObject.FreeVersion {
// nothing to be done
return
}
ignoreNotFoundErr := func(err error) error {
switch {
case isErrVersionNotFound(err), isErrObjectNotFound(err):
return nil
}
return err
}
// Remove the remote object
err := deleteObjectFromRemoteTier(ctx, oi.TransitionedObject.Name, oi.TransitionedObject.VersionID, oi.TransitionedObject.Tier)
if ignoreNotFoundErr(err) != nil {
logger.LogIf(ctx, err)
return
}
// Remove this free version
_, err = o.DeleteObject(ctx, oi.Bucket, oi.Name, ObjectOptions{
VersionID: oi.VersionID,
})
if err == nil {
auditLogLifecycle(ctx, oi, ILMFreeVersionDelete)
}
if ignoreNotFoundErr(err) != nil {
logger.LogIf(ctx, err)
}
}
// applyActions will apply lifecycle checks on to a scanned item.
// The resulting size on disk will always be returned.
// The metadata will be compared to consensus on the object layer before any changes are applied.
// If no metadata is supplied, -1 is returned if no action is taken.
func (i *scannerItem) applyActions(ctx context.Context, o ObjectLayer, oi ObjectInfo, sizeS *sizeSummary) int64 {
i.applyTierObjSweep(ctx, o, oi)
applied, size := i.applyLifecycle(ctx, o, oi)
// For instance, an applied lifecycle means we remove/transitioned an object
// from the current deployment, which means we don't have to call healing
// routine even if we are asked to do via heal flag.
if !applied {
if i.heal {
size = i.applyHealing(ctx, o, oi)
}
// replicate only if lifecycle rules are not applied.
i.healReplication(ctx, o, oi.Clone(), sizeS)
}
return size
}
func evalActionFromLifecycle(ctx context.Context, lc lifecycle.Lifecycle, obj ObjectInfo, debug bool) (action lifecycle.Action) {
action = lc.ComputeAction(obj.ToLifecycleOpts())
if debug {
console.Debugf(applyActionsLogPrefix+" lifecycle: Secondary scan: %v\n", action)
}
if action == lifecycle.NoneAction {
return action
}
switch action {
case lifecycle.DeleteVersionAction, lifecycle.DeleteRestoredVersionAction:
// Defensive code, should never happen
if obj.VersionID == "" {
return lifecycle.NoneAction
}
if rcfg, _ := globalBucketObjectLockSys.Get(obj.Bucket); rcfg.LockEnabled {
locked := enforceRetentionForDeletion(ctx, obj)
if locked {
if debug {
if obj.VersionID != "" {
console.Debugf(applyActionsLogPrefix+" lifecycle: %s v(%s) is locked, not deleting\n", obj.Name, obj.VersionID)
} else {
console.Debugf(applyActionsLogPrefix+" lifecycle: %s is locked, not deleting\n", obj.Name)
}
}
return lifecycle.NoneAction
}
}
}
return action
}
func applyTransitionRule(obj ObjectInfo) bool {
if obj.DeleteMarker {
return false
}
globalTransitionState.queueTransitionTask(obj)
return true
}
func applyExpiryOnTransitionedObject(ctx context.Context, objLayer ObjectLayer, obj ObjectInfo, restoredObject bool) bool {
action := expireObj
if restoredObject {
action = expireRestoredObj
}
if err := expireTransitionedObject(ctx, objLayer, &obj, obj.ToLifecycleOpts(), action); err != nil {
if isErrObjectNotFound(err) || isErrVersionNotFound(err) {
return false
}
logger.LogIf(ctx, err)
return false
}
// Notification already sent in *expireTransitionedObject*, just return 'true' here.
return true
}
func applyExpiryOnNonTransitionedObjects(ctx context.Context, objLayer ObjectLayer, obj ObjectInfo, applyOnVersion bool) bool {
opts := ObjectOptions{
Expiration: ExpirationOptions{Expire: true},
}
if applyOnVersion {
opts.VersionID = obj.VersionID
}
if opts.VersionID == "" {
opts.Versioned = globalBucketVersioningSys.Enabled(obj.Bucket)
}
obj, err := objLayer.DeleteObject(ctx, obj.Bucket, obj.Name, opts)
if err != nil {
if isErrObjectNotFound(err) || isErrVersionNotFound(err) {
return false
}
// Assume it is still there.
logger.LogIf(ctx, err)
return false
}
// Send audit for the lifecycle delete operation
auditLogLifecycle(ctx, obj, ILMExpiry)
eventName := event.ObjectRemovedDelete
if obj.DeleteMarker {
eventName = event.ObjectRemovedDeleteMarkerCreated
}
// Notify object deleted event.
sendEvent(eventArgs{
EventName: eventName,
BucketName: obj.Bucket,
Object: obj,
Host: "Internal: [ILM-EXPIRY]",
})
return true
}
// Apply object, object version, restored object or restored object version action on the given object
func applyExpiryRule(obj ObjectInfo, restoredObject, applyOnVersion bool) bool {
globalExpiryState.queueExpiryTask(obj, restoredObject, applyOnVersion)
return true
}
// Perform actions (removal or transitioning of objects), return true the action is successfully performed
func applyLifecycleAction(action lifecycle.Action, obj ObjectInfo) (success bool) {
switch action {
case lifecycle.DeleteVersionAction, lifecycle.DeleteAction:
success = applyExpiryRule(obj, false, action == lifecycle.DeleteVersionAction)
case lifecycle.DeleteRestoredAction, lifecycle.DeleteRestoredVersionAction:
success = applyExpiryRule(obj, true, action == lifecycle.DeleteRestoredVersionAction)
case lifecycle.TransitionAction, lifecycle.TransitionVersionAction:
success = applyTransitionRule(obj)
}
return
}
// objectPath returns the prefix and object name.
func (i *scannerItem) objectPath() string {
return path.Join(i.prefix, i.objectName)
}
// healReplication will heal a scanned item that has failed replication.
func (i *scannerItem) healReplication(ctx context.Context, o ObjectLayer, oi ObjectInfo, sizeS *sizeSummary) {
roi := getHealReplicateObjectInfo(oi, i.replication)
if oi.DeleteMarker || !oi.VersionPurgeStatus.Empty() {
// heal delete marker replication failure or versioned delete replication failure
if oi.ReplicationStatus == replication.Pending ||
oi.ReplicationStatus == replication.Failed ||
oi.VersionPurgeStatus == Failed || oi.VersionPurgeStatus == Pending {
i.healReplicationDeletes(ctx, o, roi)
return
}
// if replication status is Complete on DeleteMarker and existing object resync required
if roi.ExistingObjResync.mustResync() && (oi.ReplicationStatus == replication.Completed || oi.ReplicationStatus.Empty()) {
i.healReplicationDeletes(ctx, o, roi)
return
}
return
}
if roi.ExistingObjResync.mustResync() {
roi.OpType = replication.ExistingObjectReplicationType
}
if roi.TargetStatuses != nil {
if sizeS.replTargetStats == nil {
sizeS.replTargetStats = make(map[string]replTargetSizeSummary)
}
for arn, tgtStatus := range roi.TargetStatuses {
tgtSizeS, ok := sizeS.replTargetStats[arn]
if !ok {
tgtSizeS = replTargetSizeSummary{}
}
switch tgtStatus {
case replication.Pending:
tgtSizeS.pendingCount++
tgtSizeS.pendingSize += oi.Size
sizeS.pendingCount++
sizeS.pendingSize += oi.Size
case replication.Failed:
tgtSizeS.failedSize += oi.Size
tgtSizeS.failedCount++
sizeS.failedSize += oi.Size
sizeS.failedCount++
case replication.Completed, "COMPLETE":
tgtSizeS.replicatedSize += oi.Size
sizeS.replicatedSize += oi.Size
}
sizeS.replTargetStats[arn] = tgtSizeS
}
}
switch oi.ReplicationStatus {
case replication.Pending, replication.Failed:
globalReplicationPool.queueReplicaTask(roi)
return
case replication.Replica:
sizeS.replicaSize += oi.Size
}
if roi.ExistingObjResync.mustResync() {
globalReplicationPool.queueReplicaTask(roi)
}
}
// healReplicationDeletes will heal a scanned deleted item that failed to replicate deletes.
func (i *scannerItem) healReplicationDeletes(ctx context.Context, o ObjectLayer, roi ReplicateObjectInfo) {
// handle soft delete and permanent delete failures here.
if roi.DeleteMarker || !roi.VersionPurgeStatus.Empty() {
versionID := ""
dmVersionID := ""
if roi.VersionPurgeStatus.Empty() {
dmVersionID = roi.VersionID
} else {
versionID = roi.VersionID
}
doi := DeletedObjectReplicationInfo{
DeletedObject: DeletedObject{
ObjectName: roi.Name,
DeleteMarkerVersionID: dmVersionID,
VersionID: versionID,
ReplicationState: roi.getReplicationState(roi.Dsc.String(), versionID, true),
DeleteMarkerMTime: DeleteMarkerMTime{roi.ModTime},
DeleteMarker: roi.DeleteMarker,
},
Bucket: roi.Bucket,
}
if roi.ExistingObjResync.mustResync() {
doi.OpType = replication.ExistingObjectReplicationType
queueReplicateDeletesWrapper(doi, roi.ExistingObjResync)
return
}
globalReplicationPool.queueReplicaDeleteTask(doi)
}
}
type dynamicSleeper struct {
mu sync.RWMutex
// Sleep factor
factor float64
// maximum sleep cap,
// set to <= 0 to disable.
maxSleep time.Duration
// Don't sleep at all, if time taken is below this value.
// This is to avoid too small costly sleeps.
minSleep time.Duration
// cycle will be closed
cycle chan struct{}
}
// newDynamicSleeper
func newDynamicSleeper(factor float64, maxWait time.Duration) *dynamicSleeper {
return &dynamicSleeper{
factor: factor,
cycle: make(chan struct{}),
maxSleep: maxWait,
minSleep: 100 * time.Microsecond,
}
}
// Timer returns a timer that has started.
// When the returned function is called it will wait.
func (d *dynamicSleeper) Timer(ctx context.Context) func() {
t := time.Now()
return func() {
doneAt := time.Now()
for {
// Grab current values
d.mu.RLock()
minWait, maxWait := d.minSleep, d.maxSleep
factor := d.factor
cycle := d.cycle
d.mu.RUnlock()
elapsed := doneAt.Sub(t)
// Don't sleep for really small amount of time
wantSleep := time.Duration(float64(elapsed) * factor)
if wantSleep <= minWait {
return
}
if maxWait > 0 && wantSleep > maxWait {
wantSleep = maxWait
}
timer := time.NewTimer(wantSleep)
select {
case <-ctx.Done():
if !timer.Stop() {
<-timer.C
}
return
case <-timer.C:
return
case <-cycle:
if !timer.Stop() {
// We expired.
<-timer.C
return
}
}
}
}
}
// Sleep sleeps the specified time multiplied by the sleep factor.
// If the factor is updated the sleep will be done again with the new factor.
func (d *dynamicSleeper) Sleep(ctx context.Context, base time.Duration) {
for {
// Grab current values
d.mu.RLock()
minWait, maxWait := d.minSleep, d.maxSleep
factor := d.factor
cycle := d.cycle
d.mu.RUnlock()
// Don't sleep for really small amount of time
wantSleep := time.Duration(float64(base) * factor)
if wantSleep <= minWait {
return
}
if maxWait > 0 && wantSleep > maxWait {
wantSleep = maxWait
}
timer := time.NewTimer(wantSleep)
select {
case <-ctx.Done():
if !timer.Stop() {
<-timer.C
}
return
case <-timer.C:
return
case <-cycle:
if !timer.Stop() {
// We expired.
<-timer.C
return
}
}
}
}
// Update the current settings and cycle all waiting.
// Parameters are the same as in the contructor.
func (d *dynamicSleeper) Update(factor float64, maxWait time.Duration) error {
d.mu.Lock()
defer d.mu.Unlock()
if math.Abs(d.factor-factor) < 1e-10 && d.maxSleep == maxWait {
return nil
}
// Update values and cycle waiting.
close(d.cycle)
d.factor = factor
d.maxSleep = maxWait
d.cycle = make(chan struct{})
return nil
}
const (
// ILMExpiry - audit trail for ILM expiry
ILMExpiry = "ilm:expiry"
// ILMFreeVersionDelete - audit trail for ILM free-version delete
ILMFreeVersionDelete = "ilm:free-version-delete"
// ILMTransition - audit trail for ILM transitioning.
ILMTransition = " ilm:transition"
)
func auditLogLifecycle(ctx context.Context, oi ObjectInfo, trigger string) {
var apiName string
switch trigger {
case ILMExpiry:
apiName = "ILMExpiry"
case ILMFreeVersionDelete:
apiName = "ILMFreeVersionDelete"
case ILMTransition:
apiName = "ILMTransition"
}
auditLogInternal(ctx, oi.Bucket, oi.Name, AuditLogOptions{
Trigger: trigger,
APIName: apiName,
VersionID: oi.VersionID,
})
}