profile_store.go

package phlaredb

import (
	"bytes"
	"context"
	"fmt"
	"io"
	"os"
	"path/filepath"
	"sort"
	"sync"

	"github.com/go-kit/log"
	"github.com/go-kit/log/level"
	"github.com/grafana/dskit/runutil"
	"github.com/parquet-go/parquet-go"
	"github.com/pkg/errors"
	"go.uber.org/atomic"

	phlaremodel "github.com/grafana/pyroscope/pkg/model"
	phlareparquet "github.com/grafana/pyroscope/pkg/parquet"
	phlarecontext "github.com/grafana/pyroscope/pkg/phlare/context"
	"github.com/grafana/pyroscope/pkg/phlaredb/block"
	"github.com/grafana/pyroscope/pkg/phlaredb/query"
	schemav1 "github.com/grafana/pyroscope/pkg/phlaredb/schemas/v1"
	"github.com/grafana/pyroscope/pkg/util/build"
)

type profileStore struct {
	size      atomic.Uint64
	totalSize atomic.Uint64

	logger  log.Logger
	cfg     *ParquetConfig
	metrics *headMetrics

	path      string
	persister schemav1.Persister[*schemav1.Profile]
	writer    *parquet.GenericWriter[*schemav1.Profile]

	// lock serializes appends to the slice. Every new profile is appended
	// to the slice and to the index (has its own lock). In practice, it's
	// only purpose is to accommodate the parquet writer: slice is never
	// accessed for reads.
	profilesLock sync.Mutex
	slice        []schemav1.InMemoryProfile

	// Rows lock synchronises access to the on-disk row groups.
	// When the in-memory index (profiles) is being flushed on disk,
	// it should be modified simultaneously with rowGroups.
	// Store readers only access rowGroups and index.
	rowsLock    sync.RWMutex
	rowsFlushed uint64
	rowGroups   []*rowGroupOnDisk
	index       *profilesIndex

	flushing       *atomic.Bool
	flushQueue     chan int // channel to signal that a flush is needed for slice[:n]
	closeOnce      sync.Once
	flushWg        sync.WaitGroup
	flushBuffer    []schemav1.InMemoryProfile
	flushBufferLbs []phlaremodel.Labels
}

func newParquetProfileWriter(writer io.Writer, options ...parquet.WriterOption) *parquet.GenericWriter[*schemav1.Profile] {
	options = append(options, parquet.PageBufferSize(3*1024*1024))
	options = append(options, parquet.CreatedBy("github.com/grafana/pyroscope/", build.Version, build.Revision))
	options = append(options, schemav1.ProfilesSchema)
	return parquet.NewGenericWriter[*schemav1.Profile](
		writer, options...,
	)
}

func newProfileStore(phlarectx context.Context) *profileStore {
	s := &profileStore{
		logger:     phlarecontext.Logger(phlarectx),
		metrics:    contextHeadMetrics(phlarectx),
		persister:  &schemav1.ProfilePersister{},
		flushing:   atomic.NewBool(false),
		flushQueue: make(chan int),
	}
	s.flushWg.Add(1)
	go s.cutRowGroupLoop()
	// Initialize writer on /dev/null
	// TODO: Reuse parquet.Writer beyond life time of the head.
	s.writer = newParquetProfileWriter(io.Discard)

	return s
}

func (s *profileStore) Name() string {
	return s.persister.Name()
}

func (s *profileStore) Size() uint64 {
	return s.totalSize.Load()
}

func (s *profileStore) MemorySize() uint64 {
	return s.size.Load()
}

// resets the store
func (s *profileStore) Init(path string, cfg *ParquetConfig, metrics *headMetrics) (err error) {
	// close previous iteration
	if err := s.Close(); err != nil {
		return err
	}
	s.flushQueue = make(chan int)
	s.closeOnce = sync.Once{}
	s.flushWg.Add(1)
	go s.cutRowGroupLoop()

	// create index
	s.index, err = newProfileIndex(32, s.metrics)
	if err != nil {
		return err
	}

	s.path = path
	s.cfg = cfg
	s.metrics = metrics

	s.slice = s.slice[:0]

	s.rowsFlushed = 0

	return nil
}

func (s *profileStore) Close() error {
	if s.flushQueue != nil {
		s.closeOnce.Do(func() {
			close(s.flushQueue)
		})

		s.flushWg.Wait()
	}
	return nil
}

func (s *profileStore) RowGroups() (rowGroups []parquet.RowGroup) {
	rowGroups = make([]parquet.RowGroup, len(s.rowGroups))
	for pos := range rowGroups {
		rowGroups[pos] = s.rowGroups[pos]
	}
	return rowGroups
}

// Flush writes row groups and the index to files on disk.
// The call is thread-safe for reading but adding new profiles
// should not be allowed during and after the call.
func (s *profileStore) Flush(ctx context.Context) (numRows uint64, numRowGroups uint64, err error) {
	if err := s.Close(); err != nil {
		return 0, 0, err
	}
	if err = s.cutRowGroup(len(s.slice)); err != nil {
		return 0, 0, err
	}

	indexPath := filepath.Join(
		s.path,
		block.IndexFilename,
	)

	rowRangerPerRG, err := s.index.writeTo(ctx, indexPath)
	if err != nil {
		return 0, 0, err
	}

	parquetPath := filepath.Join(
		s.path,
		s.persister.Name()+block.ParquetSuffix,
	)

	s.rowsLock.Lock()
	for idx, ranges := range rowRangerPerRG {
		s.rowGroups[idx].seriesIndexes = ranges
	}
	s.rowsLock.Unlock()
	numRows, numRowGroups, err = s.writeRowGroups(parquetPath, s.RowGroups())
	if err != nil {
		return 0, 0, err
	}
	// Row groups are closed and removed on an explicit DeleteRowGroups call.
	return numRows, numRowGroups, nil
}

func (s *profileStore) DeleteRowGroups() error {
	s.rowsLock.Lock()
	defer s.rowsLock.Unlock()
	for _, rg := range s.rowGroups {
		if err := rg.Close(); err != nil {
			return err
		}
	}
	s.rowGroups = s.rowGroups[:0]
	return nil
}

func (s *profileStore) prepareFile(path string) (f *os.File, err error) {
	file, err := os.OpenFile(path, os.O_RDWR|os.O_CREATE|os.O_EXCL, 0o644)
	if err != nil {
		return nil, err
	}
	s.writer.Reset(file)

	return file, err
}

// cutRowGroups gets called, when a patrticular row group has been finished
// and it will flush it to disk. The caller of cutRowGroups should be holding
// the write lock.
//
// Writes are not allowed during cutting the rows, but readers are not blocked
// during the most of the time: only after the rows are written to disk do we
// block them for a short time (via rowsLock).
//
// TODO(kolesnikovae): Make the lock more selective. The call takes long time,
// if disk I/O is slow, which causes ingestion timeouts and impacts distributor
// push latency, and memory consumption, transitively.
// See index.cutRowGroup: we could find a way to not flush all the in-memory
// profiles, including ones added since the start of the call, but only those
// that were added before certain point (this call). The same for s.slice.
func (s *profileStore) cutRowGroup(count int) (err error) {
	// if cutRowGroup fails record it as failed segment
	defer func() {
		if err != nil {
			s.metrics.writtenProfileSegments.WithLabelValues("failed").Inc()
		}
	}()

	size := s.loadProfilesToFlush(count)
	if len(s.flushBuffer) == 0 {
		return nil
	}

	path := filepath.Join(
		s.path,
		fmt.Sprintf("%s.%d%s", s.persister.Name(), s.rowsFlushed, block.ParquetSuffix),
	)
	// Removes the file if it exists. This can happen if the previous
	// cut attempt failed.
	if err := os.Remove(path); err == nil {
		level.Warn(s.logger).Log("msg", "deleting row group segment of a failed previous attempt", "path", path)
	}
	f, err := s.prepareFile(path)
	if err != nil {
		return err
	}

	n, err := parquet.CopyRows(s.writer, schemav1.NewInMemoryProfilesRowReader(s.flushBuffer))
	if err != nil {
		return errors.Wrap(err, "write row group segments to disk")
	}

	if err := s.writer.Close(); err != nil {
		return errors.Wrap(err, "close row group segment writer")
	}

	if err := f.Close(); err != nil {
		return errors.Wrap(err, "closing row group segment file")
	}
	s.metrics.writtenProfileSegments.WithLabelValues("success").Inc()

	// get row group segment size on disk
	if stat, err := f.Stat(); err == nil {
		s.metrics.writtenProfileSegmentsBytes.Observe(float64(stat.Size()))
	}

	rowGroup, err := newRowGroupOnDisk(path)
	if err != nil {
		return err
	}

	// We need to make the new on-disk row group available to readers
	// simultaneously with cutting the series from the index. Until that,
	// profiles can be read from s.slice/s.index. This lock should not be
	// held for long as it only performs in-memory operations,
	// although blocking readers.
	s.rowsLock.Lock()
	s.rowsFlushed += uint64(n)
	s.rowGroups = append(s.rowGroups, rowGroup)
	// Cutting the index is relatively quick op (no I/O).
	err = s.index.cutRowGroup(s.flushBuffer)

	s.profilesLock.Lock()
	defer s.profilesLock.Unlock()
	for i := range s.slice[:count] {
		s.metrics.samples.Sub(float64(len(s.slice[i].Samples.StacktraceIDs)))
	}
	// reset slice and metrics
	s.slice = copySlice(s.slice[count:])
	currentSize := s.size.Sub(size)
	if err != nil {
		return err
	}

	level.Debug(s.logger).Log("msg", "cut row group segment", "path", path, "numProfiles", n)
	s.metrics.sizeBytes.WithLabelValues(s.Name()).Set(float64(currentSize))
	// After the lock is released, rows/profiles should be read from the disk.
	s.rowsLock.Unlock()
	return nil
}

type byLabels struct {
	p   []schemav1.InMemoryProfile
	lbs []phlaremodel.Labels
}

func (b byLabels) Len() int { return len(b.p) }
func (b byLabels) Swap(i, j int) {
	b.p[i], b.p[j] = b.p[j], b.p[i]
	b.lbs[i], b.lbs[j] = b.lbs[j], b.lbs[i]
}

func (by byLabels) Less(i, j int) bool {
	// first compare the labels, if they don't match return
	var (
		pI   = by.p[i]
		pJ   = by.p[j]
		lbsI = by.lbs[i]
		lbsJ = by.lbs[j]
	)
	if cmp := phlaremodel.CompareLabelPairs(lbsI, lbsJ); cmp != 0 {
		return cmp < 0
	}

	// then compare timenanos, if they don't match return
	if pI.TimeNanos < pJ.TimeNanos {
		return true
	} else if pI.TimeNanos > pJ.TimeNanos {
		return false
	}

	// finally use ID as tie breaker
	return bytes.Compare(pI.ID[:], pJ.ID[:]) < 0
}

// loadProfilesToFlush loads and sort profiles to flush into flushBuffer and returns the size of the profiles.
func (s *profileStore) loadProfilesToFlush(count int) uint64 {
	if cap(s.flushBuffer) < count {
		s.flushBuffer = make([]schemav1.InMemoryProfile, 0, count)
	}
	if cap(s.flushBufferLbs) < count {
		s.flushBufferLbs = make([]phlaremodel.Labels, 0, count)
	}
	s.flushBufferLbs = s.flushBufferLbs[:0]
	s.flushBuffer = s.flushBuffer[:0]
	s.profilesLock.Lock()
	s.index.mutex.RLock()
	for i := 0; i < count; i++ {
		profile := s.slice[i]
		s.flushBuffer = append(s.flushBuffer, profile)
		s.flushBufferLbs = append(s.flushBufferLbs, s.index.profilesPerFP[profile.SeriesFingerprint].lbs)
	}
	s.profilesLock.Unlock()
	s.index.mutex.RUnlock()
	// order profiles properly
	sort.Sort(byLabels{p: s.flushBuffer, lbs: s.flushBufferLbs})
	var size uint64
	for _, p := range s.flushBuffer {
		size += p.Size()
	}
	return size
}

func (s *profileStore) writeRowGroups(path string, rowGroups []parquet.RowGroup) (n uint64, numRowGroups uint64, err error) {
	fileCloser, err := s.prepareFile(path)
	if err != nil {
		return 0, 0, err
	}
	defer runutil.CloseWithErrCapture(&err, fileCloser, "closing parquet file")
	readers := make([]parquet.RowReader, len(rowGroups))
	for i, rg := range rowGroups {
		readers[i] = rg.Rows()
	}
	n, numRowGroups, err = phlareparquet.CopyAsRowGroups(s.writer, schemav1.NewMergeProfilesRowReader(readers), s.cfg.MaxBufferRowCount)

	if err := s.writer.Close(); err != nil {
		return 0, 0, err
	}

	s.rowsFlushed += n

	return n, numRowGroups, nil
}

func (s *profileStore) ingest(_ context.Context, profiles []schemav1.InMemoryProfile, lbs phlaremodel.Labels, profileName string) error {
	s.profilesLock.Lock()
	defer s.profilesLock.Unlock()

	for pos, p := range profiles {
		if !s.flushing.Load() {
			// check if row group is full
			if s.cfg.MaxBufferRowCount > 0 && len(s.slice) >= s.cfg.MaxBufferRowCount ||
				s.cfg.MaxRowGroupBytes > 0 && s.size.Load() >= s.cfg.MaxRowGroupBytes {
				s.flushing.Store(true)
				s.flushQueue <- len(s.slice)
			}
		}

		// add profile to the index
		s.index.Add(&p, lbs, profileName)

		// increase size of stored data
		addedBytes := profiles[pos].Size()
		s.metrics.sizeBytes.WithLabelValues(s.Name()).Set(float64(s.size.Add(addedBytes)))
		s.totalSize.Add(addedBytes)

		// add to slice
		s.slice = append(s.slice, p)
		s.metrics.samples.Add(float64(len(p.Samples.StacktraceIDs)))

	}

	return nil
}

func (s *profileStore) cutRowGroupLoop() {
	defer s.flushWg.Done()
	for n := range s.flushQueue {
		if err := s.cutRowGroup(n); err != nil {
			level.Error(s.logger).Log("msg", "cutting row group", "err", err)
		}
		s.flushing.Store(false)
	}
}

type rowGroupOnDisk struct {
	parquet.RowGroup
	file          *os.File
	seriesIndexes rowRangesWithSeriesIndex
}

func newRowGroupOnDisk(path string) (*rowGroupOnDisk, error) {
	var (
		r   = &rowGroupOnDisk{}
		err error
	)

	// now open the row group file, so we are able to read the row group back in
	r.file, err = os.Open(path)
	if err != nil {
		return nil, errors.Wrapf(err, "opening row groups segment file %s", path)
	}

	stats, err := r.file.Stat()
	if err != nil {
		return nil, errors.Wrapf(err, "getting stat of row groups segment file %s", path)
	}

	segmentParquet, err := parquet.OpenFile(r.file, stats.Size())
	if err != nil {
		return nil, errors.Wrapf(err, "reading parquet of row groups segment file %s", path)
	}

	rowGroups := segmentParquet.RowGroups()
	if len(rowGroups) != 1 {
		return nil, errors.Wrapf(err, "segement file expected to have exactly one row group (actual %d)", len(rowGroups))
	}

	r.RowGroup = rowGroups[0]

	return r, nil
}

func (r *rowGroupOnDisk) RowGroups() []parquet.RowGroup {
	return []parquet.RowGroup{r.RowGroup}
}

func (r *rowGroupOnDisk) Rows() parquet.Rows {
	rows := r.RowGroup.Rows()
	if len(r.seriesIndexes) == 0 {
		return rows
	}

	return &seriesIDRowsRewriter{
		Rows:          rows,
		seriesIndexes: r.seriesIndexes,
	}
}

func (r *rowGroupOnDisk) Close() error {
	if err := r.file.Close(); err != nil {
		return err
	}

	if err := os.Remove(r.file.Name()); err != nil {
		return errors.Wrap(err, "deleting row group segment file")
	}

	return nil
}

func (r *rowGroupOnDisk) columnIter(ctx context.Context, columnName string, predicate query.Predicate, alias string) query.Iterator {
	column, found := r.RowGroup.Schema().Lookup(columnName)
	if !found {
		return query.NewErrIterator(fmt.Errorf("column '%s' not found in head row group segment '%s'", columnName, r.file.Name()))
	}
	return query.NewSyncIterator(ctx, []parquet.RowGroup{r.RowGroup}, column.ColumnIndex, columnName, 1000, predicate, alias)
}

type seriesIDRowsRewriter struct {
	parquet.Rows
	pos           int64
	seriesIndexes rowRangesWithSeriesIndex
}

func (r *seriesIDRowsRewriter) SeekToRow(pos int64) error {
	if err := r.Rows.SeekToRow(pos); err != nil {
		return err
	}
	r.pos += pos
	return nil
}

var colIdxSeriesIndex = func() int {
	p := &schemav1.ProfilePersister{}
	colIdx, found := p.Schema().Lookup("SeriesIndex")
	if !found {
		panic("column SeriesIndex not found")
	}
	return colIdx.ColumnIndex
}()

func (r *seriesIDRowsRewriter) ReadRows(rows []parquet.Row) (int, error) {
	n, err := r.Rows.ReadRows(rows)
	if err != nil {
		return n, err
	}

	for pos, row := range rows[:n] {
		// actual row num
		rowNum := r.pos + int64(pos)
		row[colIdxSeriesIndex] = parquet.ValueOf(r.seriesIndexes.getSeriesIndex(rowNum)).Level(0, 0, colIdxSeriesIndex)
	}

	r.pos += int64(n)

	return n, nil
}

func copySlice[T any](in []T) []T {
	out := make([]T, len(in))
	copy(out, in)
	return out
}