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seaweedfs/weed/storage/volume_vacuum_test.go
Guo Lei c57c79a0ab
optimiz commitig compact (#3388)
* optimiz vacuuming volume

* fix bugx

* rename parameters

* fix conflict

* change copyDataBasedOnIndexFile to an instance method

* close needlemap

* optimiz commiting Vacuum volume for  leveldb index

* fix bugs

* fix leveldb loading bugs

* refactor

* fix leveldb loading bug

* add leveldb recovery

* add test case for levelDB

* modify test case to cover all the new branches

* use one tmpNm instead of two instances

* refactor

* refactor

* move setWatermark to the end

* add test for watermark and updating leveldb

* fix error logic

* refactor, add test

* check nil before close needlemapeer
add test case
fix metric bug

* add tests, fix bugs

* adjust log level
remove wrong test case
refactor

* avoid duplicate  updating metric for leveldb index
2022-08-23 23:53:35 -07:00

191 lines
5.4 KiB
Go

package storage
import (
"math/rand"
"reflect"
"testing"
"time"
"github.com/seaweedfs/seaweedfs/weed/storage/needle"
"github.com/seaweedfs/seaweedfs/weed/storage/super_block"
"github.com/seaweedfs/seaweedfs/weed/storage/types"
)
/*
makediff test steps
1. launch weed server at your local/dev environment, (option
"garbageThreshold" for master and option "max" for volume should be set with specific value which would let
preparing test prerequisite easier )
a) ./weed master -garbageThreshold=0.99 -mdir=./m
b) ./weed volume -dir=./data -max=1 -mserver=localhost:9333 -port=8080
2. upload 4 different files, you could call dir/assign to get 4 different fids
a) upload file A with fid a
b) upload file B with fid b
c) upload file C with fid c
d) upload file D with fid d
3. update file A and C
a) modify file A and upload file A with fid a
b) modify file C and upload file C with fid c
c) record the current 1.idx's file size(lastCompactIndexOffset value)
4. Compacting the data file
a) run curl http://localhost:8080/admin/vacuum/compact?volumeId=1
b) verify the 1.cpd and 1.cpx is created under volume directory
5. update file B and delete file D
a) modify file B and upload file B with fid b
d) delete file B with fid b
6. Now you could run the following UT case, the case should be run successfully
7. Compact commit manually
a) mv 1.cpd 1.dat
b) mv 1.cpx 1.idx
8. Restart Volume Server
9. Now you should get updated file A,B,C
*/
func TestMakeDiff(t *testing.T) {
v := new(Volume)
// lastCompactIndexOffset value is the index file size before step 4
v.lastCompactIndexOffset = 96
v.SuperBlock.Version = 0x2
/*
err := v.makeupDiff(
"/yourpath/1.cpd",
"/yourpath/1.cpx",
"/yourpath/1.dat",
"/yourpath/1.idx")
if err != nil {
t.Errorf("makeupDiff err is %v", err)
} else {
t.Log("makeupDiff Succeeded")
}
*/
}
func TestMemIndexCompaction(t *testing.T) {
testCompaction(t, NeedleMapInMemory)
}
func TestLDBIndexCompaction(t *testing.T) {
testCompaction(t, NeedleMapLevelDb)
}
func testCompaction(t *testing.T, needleMapKind NeedleMapKind) {
dir := t.TempDir()
v, err := NewVolume(dir, dir, "", 1, needleMapKind, &super_block.ReplicaPlacement{}, &needle.TTL{}, 0, 0)
if err != nil {
t.Fatalf("volume creation: %v", err)
}
beforeCommitFileCount := 10000
afterCommitFileCount := 10000
infos := make([]*needleInfo, beforeCommitFileCount+afterCommitFileCount)
for i := 1; i <= beforeCommitFileCount; i++ {
doSomeWritesDeletes(i, v, t, infos)
}
startTime := time.Now()
v.Compact2(0, 0, nil)
speed := float64(v.ContentSize()) / time.Now().Sub(startTime).Seconds()
t.Logf("compaction speed: %.2f bytes/s", speed)
// update & delete original objects, upload & delete new objects
for i := 1; i <= afterCommitFileCount+beforeCommitFileCount; i++ {
doSomeWritesDeletes(i, v, t, infos)
}
v.CommitCompact()
realRecordCount := v.nm.IndexFileSize() / types.NeedleMapEntrySize
if needleMapKind == NeedleMapLevelDb {
nm := reflect.ValueOf(v.nm).Interface().(*LevelDbNeedleMap)
mm := nm.mapMetric
watermark := getWatermark(nm.db)
realWatermark := (nm.recordCount / watermarkBatchSize) * watermarkBatchSize
t.Logf("watermark from levelDB: %d, realWatermark: %d, nm.recordCount: %d, realRecordCount:%d, fileCount=%d, deletedcount:%d", watermark, realWatermark, nm.recordCount, realRecordCount, mm.FileCount(), v.DeletedCount())
if realWatermark != watermark {
t.Fatalf("testing watermark failed")
}
} else {
t.Logf("realRecordCount:%d, v.FileCount():%d mm.DeletedCount():%d", realRecordCount, v.FileCount(), v.DeletedCount())
}
if realRecordCount != v.FileCount() {
t.Fatalf("testing file count failed")
}
v.Close()
v, err = NewVolume(dir, dir, "", 1, needleMapKind, nil, nil, 0, 0)
if err != nil {
t.Fatalf("volume reloading: %v", err)
}
for i := 1; i <= beforeCommitFileCount+afterCommitFileCount; i++ {
if infos[i-1] == nil {
t.Fatal("not found file", i)
}
if infos[i-1].size == 0 {
continue
}
n := newEmptyNeedle(uint64(i))
size, err := v.readNeedle(n, nil, nil)
if err != nil {
t.Fatalf("read file %d: %v", i, err)
}
if infos[i-1].size != types.Size(size) {
t.Fatalf("read file %d size mismatch expected %d found %d", i, infos[i-1].size, size)
}
if infos[i-1].crc != n.Checksum {
t.Fatalf("read file %d checksum mismatch expected %d found %d", i, infos[i-1].crc, n.Checksum)
}
}
}
func doSomeWritesDeletes(i int, v *Volume, t *testing.T, infos []*needleInfo) {
n := newRandomNeedle(uint64(i))
_, size, _, err := v.writeNeedle2(n, true, false)
if err != nil {
t.Fatalf("write file %d: %v", i, err)
}
infos[i-1] = &needleInfo{
size: size,
crc: n.Checksum,
}
// println("written file", i, "checksum", n.Checksum.Value(), "size", size)
if rand.Float64() < 0.03 {
toBeDeleted := rand.Intn(i) + 1
oldNeedle := newEmptyNeedle(uint64(toBeDeleted))
v.deleteNeedle2(oldNeedle)
// println("deleted file", toBeDeleted)
infos[toBeDeleted-1] = &needleInfo{
size: 0,
crc: n.Checksum,
}
}
}
type needleInfo struct {
size types.Size
crc needle.CRC
}
func newRandomNeedle(id uint64) *needle.Needle {
n := new(needle.Needle)
n.Data = make([]byte, rand.Intn(1024))
rand.Read(n.Data)
n.Checksum = needle.NewCRC(n.Data)
n.Id = types.Uint64ToNeedleId(id)
return n
}
func newEmptyNeedle(id uint64) *needle.Needle {
n := new(needle.Needle)
n.Id = types.Uint64ToNeedleId(id)
return n
}