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synced 2024-11-21 14:44:00 +00:00
lib/storage: optimize per-day inverted index search for tag filters matching big number of time series
- Sort tag filters in the ascending number of matching time series in order to apply the most specific filters first. - Fall back to metricName search for filters matching big number of time series (usually this are negative filters or regexp filters).
This commit is contained in:
parent
d450249955
commit
7e755b4bac
2 changed files with 103 additions and 28 deletions
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@ -126,10 +126,14 @@ type indexDB struct {
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// Cache for fast MetricID -> MetricName lookup.
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metricNameCache *workingsetcache.Cache
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// Cache holding useless TagFilters entries, which have no tag filters
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// Cache for useless TagFilters entries, which have no tag filters
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// matching low number of metrics.
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uselessTagFiltersCache *workingsetcache.Cache
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// Cache for (date, tagFilter) -> metricIDsLen, which is used for reducing
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// the amount of work when matching a set of filters.
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metricIDsPerDateTagFilterCache *workingsetcache.Cache
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indexSearchPool sync.Pool
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// An inmemory set of deleted metricIDs.
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@ -182,6 +186,7 @@ func openIndexDB(path string, metricIDCache, metricNameCache *workingsetcache.Ca
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metricIDCache: metricIDCache,
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metricNameCache: metricNameCache,
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uselessTagFiltersCache: workingsetcache.New(mem/128, time.Hour),
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metricIDsPerDateTagFilterCache: workingsetcache.New(mem/128, time.Hour),
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currHourMetricIDs: currHourMetricIDs,
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prevHourMetricIDs: prevHourMetricIDs,
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@ -348,11 +353,13 @@ func (db *indexDB) decRef() {
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// Free space occupied by caches owned by db.
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db.tagCache.Stop()
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db.uselessTagFiltersCache.Stop()
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db.metricIDsPerDateTagFilterCache.Stop()
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db.tagCache = nil
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db.metricIDCache = nil
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db.metricNameCache = nil
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db.uselessTagFiltersCache = nil
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db.metricIDsPerDateTagFilterCache = nil
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if atomic.LoadUint64(&db.mustDrop) == 0 {
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return
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@ -1053,8 +1060,7 @@ func (is *indexSearch) getStartDateForPerDayInvertedIndex() (uint64, error) {
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if err := ts.Error(); err != nil {
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return 0, err
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}
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// The minDate can contain incomplete inverted index, so increment it.
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minDate++
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// There are no (date,tag)->metricIDs entries in the database yet.
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return minDate, nil
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}
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@ -1700,22 +1706,8 @@ func (is *indexSearch) searchMetricIDs(tfss []*TagFilters, tr TimeRange, maxMetr
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func (is *indexSearch) updateMetricIDsForTagFilters(metricIDs *uint64set.Set, tfs *TagFilters, tr TimeRange, maxMetrics int) error {
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// Sort tag filters for faster ts.Seek below.
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sort.Slice(tfs.tfs, func(i, j int) bool {
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// Move regexp and negative filters to the end, since they require scanning
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// all the entries for the given label.
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a := &tfs.tfs[i]
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b := &tfs.tfs[j]
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if a.isRegexp != b.isRegexp {
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return !a.isRegexp
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}
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if a.isNegative != b.isNegative {
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return !a.isNegative
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}
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if len(a.orSuffixes) != len(b.orSuffixes) {
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return len(a.orSuffixes) < len(b.orSuffixes)
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}
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return bytes.Compare(a.prefix, b.prefix) < 0
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return tfs.tfs[i].Less(&tfs.tfs[j])
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})
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err := is.tryUpdatingMetricIDsForDateRange(metricIDs, tfs, tr, maxMetrics)
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if err == nil {
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// Fast path: found metricIDs by date range.
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@ -2177,10 +2169,40 @@ func (is *indexSearch) tryUpdatingMetricIDsForDateRange(metricIDs *uint64set.Set
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}
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func (is *indexSearch) getMetricIDsForDateAndFilters(date uint64, tfs *TagFilters, maxMetrics int) (*uint64set.Set, error) {
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// Populate metricIDs with the first non-negative filter.
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var tfFirst *tagFilter
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// Sort tfs by the number of matching filters from previous queries.
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// This way we limit the amount of work below by applying more specific filters at first.
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type tagFilterWithCount struct {
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tf *tagFilter
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count uint64
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}
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tfsWithCount := make([]tagFilterWithCount, len(tfs.tfs))
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kb := &is.kb
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var buf []byte
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for i := range tfs.tfs {
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tf := &tfs.tfs[i]
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kb.B = appendDateTagFilterCacheKey(kb.B[:0], date, tf, tfs.accountID, tfs.projectID)
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buf = is.db.metricIDsPerDateTagFilterCache.Get(buf[:0], kb.B)
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count := uint64(0)
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if len(buf) == 8 {
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count = encoding.UnmarshalUint64(buf)
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}
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tfsWithCount[i] = tagFilterWithCount{
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tf: tf,
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count: count,
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}
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}
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sort.Slice(tfsWithCount, func(i, j int) bool {
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a, b := &tfsWithCount[i], &tfsWithCount[j]
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if a.count != b.count {
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return a.count < b.count
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}
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return a.tf.Less(b.tf)
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})
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// Populate metricIDs with the first non-negative filter.
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var tfFirst *tagFilter
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for i := range tfsWithCount {
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tf := tfsWithCount[i].tf
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if tf.isNegative {
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continue
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}
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@ -2217,11 +2239,30 @@ func (is *indexSearch) getMetricIDsForDateAndFilters(date uint64, tfs *TagFilter
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}
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// Intersect metricIDs with the rest of filters.
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for i := range tfs.tfs {
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tf := &tfs.tfs[i]
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for i := range tfsWithCount {
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tfWithCount := &tfsWithCount[i]
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tf := tfWithCount.tf
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if tf == tfFirst {
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continue
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}
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if n := uint64(metricIDs.Len()); n < 1000 || n < tfWithCount.count/maxIndexScanLoopsPerMetric {
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// It should be faster performing metricName match on the remaining filters
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// instead of scanning big number of entries in the inverted index for these filters.
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tfsRemaining := tfsWithCount[i:]
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tfsPostponed := make([]*tagFilter, 0, len(tfsRemaining))
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for j := range tfsRemaining {
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tf := tfsRemaining[j].tf
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if tf == tfFirst {
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continue
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}
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tfsPostponed = append(tfsPostponed, tf)
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}
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var m uint64set.Set
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if err := is.updateMetricIDsByMetricNameMatch(&m, metricIDs, tfsPostponed, tfs.accountID, tfs.projectID); err != nil {
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return nil, err
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}
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return &m, nil
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}
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m, err := is.getMetricIDsForDateTagFilter(tf, date, tfs.commonPrefix, tfs.accountID, tfs.projectID, maxDateMetrics)
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if err != nil {
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return nil, err
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@ -2376,7 +2417,26 @@ func (is *indexSearch) getMetricIDsForDateTagFilter(tf *tagFilter, date uint64,
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tfNew := *tf
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tfNew.isNegative = false // isNegative for the original tf is handled by the caller.
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tfNew.prefix = kb.B
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return is.getMetricIDsForTagFilter(&tfNew, maxMetrics)
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metricIDs, err := is.getMetricIDsForTagFilter(&tfNew, maxMetrics)
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// Store the number of matching metricIDs in the cache in order to sort tag filters
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// in ascending number of matching metricIDs on the next search.
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is.kb.B = appendDateTagFilterCacheKey(is.kb.B[:0], date, tf, accountID, projectID)
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metricIDsLen := uint64(metricIDs.Len())
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if err != nil {
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// Set metricIDsLen to maxMetrics, so the given entry will be moved to the end
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// of tag filters on the next search.
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metricIDsLen = uint64(maxMetrics)
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}
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kb.B = encoding.MarshalUint64(kb.B[:0], metricIDsLen)
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is.db.metricIDsPerDateTagFilterCache.Set(is.kb.B, kb.B)
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return metricIDs, err
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}
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func appendDateTagFilterCacheKey(dst []byte, date uint64, tf *tagFilter, accountID, projectID uint32) []byte {
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dst = encoding.MarshalUint64(dst, date)
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dst = tf.Marshal(dst, accountID, projectID)
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return dst
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}
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func (is *indexSearch) getMetricIDsForDate(date uint64, accountID, projectID uint32, maxMetrics int) (*uint64set.Set, error) {
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@ -2444,7 +2504,7 @@ func (is *indexSearch) updateMetricIDsForPrefix(prefix []byte, metricIDs *uint64
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// over the found metrics.
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const maxIndexScanLoopsPerMetric = 100
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// The maximum number of slow index scan loops per.
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// The maximum number of slow index scan loops.
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// Bigger number of loops is slower than updateMetricIDsByMetricNameMatch
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// over the found metrics.
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const maxIndexScanSlowLoopsPerMetric = 20
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@ -160,6 +160,21 @@ type tagFilter struct {
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matchesEmptyValue bool
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}
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func (tf *tagFilter) Less(other *tagFilter) bool {
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// Move regexp and negative filters to the end, since they require scanning
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// all the entries for the given label.
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if tf.isRegexp != other.isRegexp {
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return !tf.isRegexp
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}
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if tf.isNegative != other.isNegative {
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return !tf.isNegative
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}
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if len(tf.orSuffixes) != len(other.orSuffixes) {
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return len(tf.orSuffixes) < len(other.orSuffixes)
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}
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return bytes.Compare(tf.prefix, other.prefix) < 0
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}
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// String returns human-readable tf value.
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func (tf *tagFilter) String() string {
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op := "="
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