lotus/cmd/lotus-bench/import.go
Jakub Sztandera 0341944350 Inject prometheus
Signed-off-by: Jakub Sztandera <kubuxu@protocol.ai>
2020-10-22 14:57:05 +02:00

774 lines
18 KiB
Go

package main
import (
"bufio"
"context"
"encoding/json"
"fmt"
"io"
"io/ioutil"
"math"
"net/http"
_ "net/http/pprof"
"os"
"runtime"
"runtime/pprof"
"sort"
"time"
"github.com/cockroachdb/pebble"
"github.com/cockroachdb/pebble/bloom"
"github.com/filecoin-project/lotus/api"
"github.com/filecoin-project/lotus/chain/stmgr"
"github.com/filecoin-project/lotus/chain/store"
"github.com/filecoin-project/lotus/chain/types"
"github.com/filecoin-project/lotus/chain/vm"
"github.com/filecoin-project/lotus/lib/blockstore"
_ "github.com/filecoin-project/lotus/lib/sigs/bls"
_ "github.com/filecoin-project/lotus/lib/sigs/secp"
metricsprometheus "github.com/ipfs/go-metrics-prometheus"
"github.com/ipld/go-car"
"github.com/prometheus/client_golang/prometheus/promhttp"
"github.com/filecoin-project/go-state-types/abi"
"github.com/filecoin-project/lotus/extern/sector-storage/ffiwrapper"
bdg "github.com/dgraph-io/badger/v2"
"github.com/ipfs/go-datastore"
badger "github.com/ipfs/go-ds-badger2"
measure "github.com/ipfs/go-ds-measure"
pebbleds "github.com/ipfs/go-ds-pebble"
"github.com/urfave/cli/v2"
"golang.org/x/xerrors"
)
type TipSetExec struct {
TipSet types.TipSetKey
Trace []*api.InvocResult
Duration time.Duration
}
var importBenchCmd = &cli.Command{
Name: "import",
Usage: "benchmark chain import and validation",
Subcommands: []*cli.Command{
importAnalyzeCmd,
},
Flags: []cli.Flag{
&cli.Int64Flag{
Name: "height",
Usage: "halt validation after given height",
},
&cli.IntFlag{
Name: "batch-seal-verify-threads",
Usage: "set the parallelism factor for batch seal verification",
Value: runtime.NumCPU(),
},
&cli.StringFlag{
Name: "repodir",
Usage: "set the repo directory for the lotus bench run (defaults to /tmp)",
},
&cli.StringFlag{
Name: "syscall-cache",
Usage: "read and write syscall results from datastore",
},
&cli.BoolFlag{
Name: "export-traces",
Usage: "should we export execution traces",
Value: true,
},
&cli.BoolFlag{
Name: "no-import",
Usage: "should we import the chain? if set to true chain has to be previously imported",
},
&cli.BoolFlag{
Name: "global-profile",
Value: true,
},
&cli.Int64Flag{
Name: "start-at",
},
&cli.BoolFlag{
Name: "only-import",
},
&cli.BoolFlag{
Name: "use-pebble",
},
},
Action: func(cctx *cli.Context) error {
metricsprometheus.Inject()
vm.BatchSealVerifyParallelism = cctx.Int("batch-seal-verify-threads")
if !cctx.Args().Present() {
fmt.Println("must pass car file of chain to benchmark importing")
return nil
}
cfi, err := os.Open(cctx.Args().First())
if err != nil {
return err
}
defer cfi.Close() //nolint:errcheck // read only file
go func() {
http.Handle("/debug/metrics/prometheus", promhttp.Handler())
http.ListenAndServe("localhost:6060", nil) //nolint:errcheck
}()
var tdir string
if rdir := cctx.String("repodir"); rdir != "" {
tdir = rdir
} else {
tmp, err := ioutil.TempDir("", "lotus-import-bench")
if err != nil {
return err
}
tdir = tmp
}
bdgOpt := badger.DefaultOptions
bdgOpt.GcInterval = 0
bdgOpt.Options = bdg.DefaultOptions("")
bdgOpt.Options.SyncWrites = false
bdgOpt.Options.Truncate = true
bdgOpt.Options.DetectConflicts = false
var bds datastore.Batching
if cctx.Bool("use-pebble") {
cache := 512
bds, err = pebbleds.NewDatastore(tdir, &pebble.Options{
// Pebble has a single combined cache area and the write
// buffers are taken from this too. Assign all available
// memory allowance for cache.
Cache: pebble.NewCache(int64(cache * 1024 * 1024)),
// The size of memory table(as well as the write buffer).
// Note, there may have more than two memory tables in the system.
// MemTableStopWritesThreshold can be configured to avoid the memory abuse.
MemTableSize: cache * 1024 * 1024 / 4,
// The default compaction concurrency(1 thread),
// Here use all available CPUs for faster compaction.
MaxConcurrentCompactions: runtime.NumCPU(),
// Per-level options. Options for at least one level must be specified. The
// options for the last level are used for all subsequent levels.
Levels: []pebble.LevelOptions{
{TargetFileSize: 16 * 1024 * 1024, FilterPolicy: bloom.FilterPolicy(10), Compression: pebble.NoCompression},
},
Logger: log,
})
} else {
bds, err = badger.NewDatastore(tdir, &bdgOpt)
}
if err != nil {
return err
}
defer bds.Close() //nolint:errcheck
bds = measure.New("dsbench", bds)
bs := blockstore.NewBlockstore(bds)
cacheOpts := blockstore.DefaultCacheOpts()
cacheOpts.HasBloomFilterSize = 0
cbs, err := blockstore.CachedBlockstore(context.TODO(), bs, cacheOpts)
if err != nil {
return err
}
bs = cbs
ds := datastore.NewMapDatastore()
var verifier ffiwrapper.Verifier = ffiwrapper.ProofVerifier
if cctx.IsSet("syscall-cache") {
scds, err := badger.NewDatastore(cctx.String("syscall-cache"), &bdgOpt)
if err != nil {
return xerrors.Errorf("opening syscall-cache datastore: %w", err)
}
defer scds.Close() //nolint:errcheck
verifier = &cachingVerifier{
ds: scds,
backend: verifier,
}
}
if cctx.Bool("only-gc") {
return nil
}
cs := store.NewChainStore(bs, ds, vm.Syscalls(verifier), nil)
stm := stmgr.NewStateManager(cs)
if cctx.Bool("global-profile") {
prof, err := os.Create("import-bench.prof")
if err != nil {
return err
}
defer prof.Close() //nolint:errcheck
if err := pprof.StartCPUProfile(prof); err != nil {
return err
}
}
var head *types.TipSet
if !cctx.Bool("no-import") {
head, err = cs.Import(cfi)
if err != nil {
return err
}
} else {
cr, err := car.NewCarReader(cfi)
if err != nil {
return err
}
head, err = cs.LoadTipSet(types.NewTipSetKey(cr.Header.Roots...))
if err != nil {
return err
}
}
if cctx.Bool("only-import") {
return nil
}
gb, err := cs.GetTipsetByHeight(context.TODO(), 0, head, true)
if err != nil {
return err
}
err = cs.SetGenesis(gb.Blocks()[0])
if err != nil {
return err
}
startEpoch := abi.ChainEpoch(1)
if cctx.IsSet("start-at") {
startEpoch = abi.ChainEpoch(cctx.Int64("start-at"))
start, err := cs.GetTipsetByHeight(context.TODO(), abi.ChainEpoch(cctx.Int64("start-at")), head, true)
if err != nil {
return err
}
err = cs.SetHead(start)
if err != nil {
return err
}
}
if h := cctx.Int64("height"); h != 0 {
tsh, err := cs.GetTipsetByHeight(context.TODO(), abi.ChainEpoch(h), head, true)
if err != nil {
return err
}
head = tsh
}
ts := head
tschain := []*types.TipSet{ts}
for ts.Height() > startEpoch {
next, err := cs.LoadTipSet(ts.Parents())
if err != nil {
return err
}
tschain = append(tschain, next)
ts = next
}
var enc *json.Encoder
if cctx.Bool("export-traces") {
ibj, err := os.Create("import-bench.json")
if err != nil {
return err
}
defer ibj.Close() //nolint:errcheck
enc = json.NewEncoder(ibj)
}
for i := len(tschain) - 1; i >= 1; i-- {
cur := tschain[i]
start := time.Now()
log.Infof("computing state (height: %d, ts=%s)", cur.Height(), cur.Cids())
st, trace, err := stm.ExecutionTrace(context.TODO(), cur)
if err != nil {
return err
}
tse := &TipSetExec{
TipSet: cur.Key(),
Trace: trace,
Duration: time.Since(start),
}
if enc != nil {
stripCallers(tse.Trace)
if err := enc.Encode(tse); err != nil {
return xerrors.Errorf("failed to write out tipsetexec: %w", err)
}
}
if tschain[i-1].ParentState() != st {
stripCallers(tse.Trace)
lastTrace := tse.Trace
d, err := json.MarshalIndent(lastTrace, "", " ")
if err != nil {
panic(err)
}
fmt.Println("TRACE")
fmt.Println(string(d))
//fmt.Println(statediff.Diff(context.Background(), bs, tschain[i-1].ParentState(), st, statediff.ExpandActors))
return xerrors.Errorf("tipset chain had state mismatch at height %d (%s != %s)", cur.Height(), cur.ParentState(), st)
}
}
pprof.StopCPUProfile()
return nil
},
}
func walkExecutionTrace(et *types.ExecutionTrace) {
for _, gc := range et.GasCharges {
gc.Callers = nil
}
for _, sub := range et.Subcalls {
walkExecutionTrace(&sub) //nolint:scopelint,gosec
}
}
func stripCallers(trace []*api.InvocResult) {
for _, t := range trace {
walkExecutionTrace(&t.ExecutionTrace)
}
}
type Invocation struct {
TipSet types.TipSetKey
Invoc *api.InvocResult
}
const GasPerNs = 10
func countGasCosts(et *types.ExecutionTrace) (int64, int64) {
var cgas, vgas int64
for _, gc := range et.GasCharges {
cgas += gc.ComputeGas
vgas += gc.VirtualComputeGas
}
for _, sub := range et.Subcalls {
c, v := countGasCosts(&sub) //nolint
cgas += c
vgas += v
}
return cgas, vgas
}
type stats struct {
timeTaken meanVar
gasRatio meanVar
extraCovar *covar
}
type covar struct {
meanX float64
meanY float64
c float64
n float64
m2x float64
m2y float64
}
func (cov1 *covar) Covariance() float64 {
return cov1.c / (cov1.n - 1)
}
func (cov1 *covar) VarianceX() float64 {
return cov1.m2x / (cov1.n - 1)
}
func (cov1 *covar) StddevX() float64 {
return math.Sqrt(cov1.VarianceX())
}
func (cov1 *covar) VarianceY() float64 {
return cov1.m2y / (cov1.n - 1)
}
func (cov1 *covar) StddevY() float64 {
return math.Sqrt(cov1.VarianceY())
}
func (cov1 *covar) AddPoint(x, y float64) {
cov1.n++
dx := x - cov1.meanX
cov1.meanX += dx / cov1.n
dx2 := x - cov1.meanX
cov1.m2x += dx * dx2
dy := y - cov1.meanY
cov1.meanY += dy / cov1.n
dy2 := y - cov1.meanY
cov1.m2y += dy * dy2
cov1.c += dx * dy
}
func (cov1 *covar) Combine(cov2 *covar) {
if cov1.n == 0 {
*cov1 = *cov2
return
}
if cov2.n == 0 {
return
}
if cov1.n == 1 {
cpy := *cov2
cpy.AddPoint(cov2.meanX, cov2.meanY)
*cov1 = cpy
return
}
if cov2.n == 1 {
cov1.AddPoint(cov2.meanX, cov2.meanY)
}
out := covar{}
out.n = cov1.n + cov2.n
dx := cov1.meanX - cov2.meanX
out.meanX = cov1.meanX - dx*cov2.n/out.n
out.m2x = cov1.m2x + cov2.m2x + dx*dx*cov1.n*cov2.n/out.n
dy := cov1.meanY - cov2.meanY
out.meanY = cov1.meanY - dy*cov2.n/out.n
out.m2y = cov1.m2y + cov2.m2y + dy*dy*cov1.n*cov2.n/out.n
out.c = cov1.c + cov2.c + dx*dy*cov1.n*cov2.n/out.n
*cov1 = out
}
func (cov1 *covar) A() float64 {
return cov1.Covariance() / cov1.VarianceX()
}
func (cov1 *covar) B() float64 {
return cov1.meanY - cov1.meanX*cov1.A()
}
func (cov1 *covar) Correl() float64 {
return cov1.Covariance() / cov1.StddevX() / cov1.StddevY()
}
type meanVar struct {
n float64
mean float64
m2 float64
}
func (v1 *meanVar) AddPoint(value float64) {
// based on https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
v1.n++
delta := value - v1.mean
v1.mean += delta / v1.n
delta2 := value - v1.mean
v1.m2 += delta * delta2
}
func (v1 *meanVar) Variance() float64 {
return v1.m2 / (v1.n - 1)
}
func (v1 *meanVar) Mean() float64 {
return v1.mean
}
func (v1 *meanVar) Stddev() float64 {
return math.Sqrt(v1.Variance())
}
func (v1 *meanVar) Combine(v2 *meanVar) {
if v1.n == 0 {
*v1 = *v2
return
}
if v2.n == 0 {
return
}
if v1.n == 1 {
cpy := *v2
cpy.AddPoint(v1.mean)
*v1 = cpy
return
}
if v2.n == 1 {
v1.AddPoint(v2.mean)
return
}
newCount := v1.n + v2.n
delta := v2.mean - v1.mean
meanDelta := delta * v2.n / newCount
m2 := v1.m2 + v2.m2 + delta*meanDelta*v1.n
v1.n = newCount
v1.mean += meanDelta
v1.m2 = m2
}
func getExtras(ex interface{}) (*string, *float64) {
if t, ok := ex.(string); ok {
return &t, nil
}
if size, ok := ex.(float64); ok {
return nil, &size
}
if exMap, ok := ex.(map[string]interface{}); ok {
t, tok := exMap["type"].(string)
size, sok := exMap["size"].(float64)
if tok && sok {
return &t, &size
}
if tok {
return &t, nil
}
if sok {
return nil, &size
}
return nil, nil
}
return nil, nil
}
func tallyGasCharges(charges map[string]*stats, et types.ExecutionTrace) {
for i, gc := range et.GasCharges {
name := gc.Name
if name == "OnIpldGetEnd" {
continue
}
tt := float64(gc.TimeTaken.Nanoseconds())
if name == "OnVerifyPost" && tt > 2e9 {
log.Warnf("Skipping abnormally long OnVerifyPost: %fs", tt/1e9)
// discard initial very long OnVerifyPost
continue
}
eType, eSize := getExtras(gc.Extra)
if name == "OnIpldGet" {
next := &types.GasTrace{}
if i+1 < len(et.GasCharges) {
next = et.GasCharges[i+1]
}
if next.Name != "OnIpldGetEnd" {
log.Warn("OnIpldGet without OnIpldGetEnd")
} else {
_, size := getExtras(next.Extra)
eSize = size
}
}
if eType != nil {
name += "-" + *eType
}
compGas := gc.ComputeGas
if compGas == 0 {
compGas = gc.VirtualComputeGas
}
if compGas == 0 {
compGas = 1
}
s := charges[name]
if s == nil {
s = new(stats)
charges[name] = s
}
if eSize != nil {
if s.extraCovar == nil {
s.extraCovar = &covar{}
}
s.extraCovar.AddPoint(*eSize, tt)
}
s.timeTaken.AddPoint(tt)
ratio := tt / float64(compGas) * GasPerNs
s.gasRatio.AddPoint(ratio)
}
for _, sub := range et.Subcalls {
tallyGasCharges(charges, sub)
}
}
var importAnalyzeCmd = &cli.Command{
Name: "analyze",
Action: func(cctx *cli.Context) error {
if !cctx.Args().Present() {
fmt.Println("must pass bench file to analyze")
return nil
}
go func() {
http.ListenAndServe("localhost:6060", nil) //nolint:errcheck
}()
fi, err := os.Open(cctx.Args().First())
if err != nil {
return err
}
defer fi.Close() //nolint:errcheck
const nWorkers = 16
jsonIn := make(chan []byte, 2*nWorkers)
type result struct {
totalTime time.Duration
chargeStats map[string]*stats
expensiveInvocs []Invocation
}
results := make(chan result, nWorkers)
for i := 0; i < nWorkers; i++ {
go func() {
chargeStats := make(map[string]*stats)
var totalTime time.Duration
const invocsKeep = 32
var expensiveInvocs = make([]Invocation, 0, 8*invocsKeep)
var leastExpensiveInvoc = time.Duration(0)
for {
b, ok := <-jsonIn
if !ok {
results <- result{
totalTime: totalTime,
chargeStats: chargeStats,
expensiveInvocs: expensiveInvocs,
}
return
}
var tse TipSetExec
err := json.Unmarshal(b, &tse)
if err != nil {
log.Warnf("error unmarshaling tipset: %+v", err)
continue
}
totalTime += tse.Duration
for _, inv := range tse.Trace {
if inv.Duration > leastExpensiveInvoc {
expensiveInvocs = append(expensiveInvocs, Invocation{
TipSet: tse.TipSet,
Invoc: inv,
})
}
tallyGasCharges(chargeStats, inv.ExecutionTrace)
}
if len(expensiveInvocs) > 4*invocsKeep {
sort.Slice(expensiveInvocs, func(i, j int) bool {
return expensiveInvocs[i].Invoc.Duration > expensiveInvocs[j].Invoc.Duration
})
leastExpensiveInvoc = expensiveInvocs[len(expensiveInvocs)-1].Invoc.Duration
n := 30
if len(expensiveInvocs) < n {
n = len(expensiveInvocs)
}
expensiveInvocs = expensiveInvocs[:n]
}
}
}()
}
var totalTipsets int64
reader := bufio.NewReader(fi)
for {
b, err := reader.ReadBytes('\n')
if err != nil && err != io.EOF {
if e, ok := err.(*json.SyntaxError); ok {
log.Warnf("syntax error at byte offset %d", e.Offset)
}
return err
}
totalTipsets++
jsonIn <- b
fmt.Fprintf(os.Stderr, "\rProcessed %d tipsets", totalTipsets)
if err == io.EOF {
break
}
}
close(jsonIn)
fmt.Fprintf(os.Stderr, "\n")
fmt.Fprintf(os.Stderr, "Collecting results\n")
var invocs []Invocation
var totalTime time.Duration
var keys []string
var charges = make(map[string]*stats)
for i := 0; i < nWorkers; i++ {
fmt.Fprintf(os.Stderr, "\rProcessing results from worker %d/%d", i+1, nWorkers)
res := <-results
invocs = append(invocs, res.expensiveInvocs...)
for k, v := range res.chargeStats {
s := charges[k]
if s == nil {
s = new(stats)
charges[k] = s
}
s.timeTaken.Combine(&v.timeTaken)
s.gasRatio.Combine(&v.gasRatio)
if v.extraCovar != nil {
if s.extraCovar == nil {
s.extraCovar = &covar{}
}
s.extraCovar.Combine(v.extraCovar)
}
}
totalTime += res.totalTime
}
fmt.Fprintf(os.Stderr, "\nCollecting gas keys\n")
for k := range charges {
keys = append(keys, k)
}
fmt.Println("Gas Price Deltas")
sort.Strings(keys)
for _, k := range keys {
s := charges[k]
fmt.Printf("%s: incr by %.4f~%.4f; tt %.4f~%.4f\n", k, s.gasRatio.Mean(), s.gasRatio.Stddev(),
s.timeTaken.Mean(), s.timeTaken.Stddev())
if s.extraCovar != nil {
fmt.Printf("\t correll: %.2f, tt = %.2f * extra + %.2f\n", s.extraCovar.Correl(),
s.extraCovar.A(), s.extraCovar.B())
fmt.Printf("\t covar: %.2f, extra: %.2f~%.2f, tt2: %.2f~%.2f, count %.0f\n",
s.extraCovar.Covariance(), s.extraCovar.meanX, s.extraCovar.StddevX(),
s.extraCovar.meanY, s.extraCovar.StddevY(), s.extraCovar.n)
}
}
sort.Slice(invocs, func(i, j int) bool {
return invocs[i].Invoc.Duration > invocs[j].Invoc.Duration
})
fmt.Println("Total time: ", totalTime)
fmt.Println("Average time per epoch: ", totalTime/time.Duration(totalTipsets))
if actorExec, ok := charges["OnActorExec"]; ok {
timeInActors := actorExec.timeTaken.Mean() * actorExec.timeTaken.n
fmt.Printf("Avarage time per epoch in actors: %s (%.1f%%)\n", time.Duration(timeInActors)/time.Duration(totalTipsets), timeInActors/float64(totalTime)*100)
}
if actorExecDone, ok := charges["OnMethodInvocationDone"]; ok {
timeInActors := actorExecDone.timeTaken.Mean() * actorExecDone.timeTaken.n
fmt.Printf("Avarage time per epoch in OnActorExecDone %s (%.1f%%)\n", time.Duration(timeInActors)/time.Duration(totalTipsets), timeInActors/float64(totalTime)*100)
}
n := 30
if len(invocs) < n {
n = len(invocs)
}
fmt.Printf("Top %d most expensive calls:\n", n)
for i := 0; i < n; i++ {
inv := invocs[i].Invoc
fmt.Printf("%s: %s %s %d %s\n", inv.Duration, inv.Msg.From, inv.Msg.To, inv.Msg.Method, invocs[i].TipSet)
}
return nil
},
}