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Add test for invalid caching of tsids (#232)
* Add test for invalid caching of tsids * Clean up error handling
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1 changed files with 147 additions and 0 deletions
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@ -13,6 +13,7 @@ import (
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache"
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)
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@ -1330,6 +1331,152 @@ func TestMatchTagFilters(t *testing.T) {
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}
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}
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func TestSearchTSIDWithTimeRange(t *testing.T) {
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metricIDCache := workingsetcache.New(1234, time.Hour)
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metricNameCache := workingsetcache.New(1234, time.Hour)
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defer metricIDCache.Stop()
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defer metricNameCache.Stop()
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currMetricIDs := &hourMetricIDs{
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isFull: true,
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m: &uint64set.Set{},
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}
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var hmCurr atomic.Value
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hmCurr.Store(currMetricIDs)
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prevMetricIDs := &hourMetricIDs{
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isFull: true,
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m: &uint64set.Set{},
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}
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var hmPrev atomic.Value
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hmPrev.Store(prevMetricIDs)
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dbName := "test-index-db-ts-range"
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db, err := openIndexDB(dbName, metricIDCache, metricNameCache, &hmCurr, &hmPrev)
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if err != nil {
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t.Fatalf("cannot open indexDB: %s", err)
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}
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defer func() {
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db.MustClose()
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if err := os.RemoveAll(dbName); err != nil {
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t.Fatalf("cannot remove indexDB: %s", err)
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}
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}()
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is := db.getIndexSearch()
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defer db.putIndexSearch(is)
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// Create a bunch of per-day time series
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const days = 5
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const metricsPerDay = 1000
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theDay := time.Date(2019, time.October, 15, 5, 1, 0, 0, time.UTC)
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now := uint64(timestampFromTime(theDay))
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currMetricIDs.hour = now / msecPerHour
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prevMetricIDs.hour = (now - msecPerHour) / msecPerHour
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baseDate := now / msecPerDay
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var metricNameBuf []byte
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for day := 0; day < days; day++ {
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var tsids []TSID
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for metric := 0; metric < metricsPerDay; metric++ {
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var mn MetricName
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mn.MetricGroup = []byte("testMetric")
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mn.AddTag(
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"constant",
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"const",
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)
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mn.AddTag(
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"day",
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fmt.Sprintf("%v", day),
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)
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mn.AddTag(
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"uniqueid",
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fmt.Sprintf("%v", metric),
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)
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mn.sortTags()
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metricNameBuf = mn.Marshal(metricNameBuf[:0])
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var tsid TSID
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if err := is.GetOrCreateTSIDByName(&tsid, metricNameBuf); err != nil {
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t.Fatalf("unexpected error when creating tsid for mn:\n%s: %s", &mn, err)
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}
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tsids = append(tsids, tsid)
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}
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// Add the metrics to the per-day stores
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date := baseDate - uint64(day*msecPerDay)
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for i := range tsids {
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tsid := &tsids[i]
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if err := db.storeDateMetricID(date, tsid.MetricID); err != nil {
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t.Fatalf("error in storeDateMetricID(%d, %d): %s", date, tsid.MetricID, err)
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}
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}
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// Add the the hour metrics caches
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if day == 0 {
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for i := 0; i < 256; i++ {
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prevMetricIDs.m.Add(tsids[i].MetricID)
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currMetricIDs.m.Add(tsids[i].MetricID)
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}
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prevMetricIDs.iidx = newInmemoryInvertedIndex()
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prevMetricIDs.iidx.MustUpdate(db, prevMetricIDs.m)
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currMetricIDs.iidx = newInmemoryInvertedIndex()
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currMetricIDs.iidx.MustUpdate(db, currMetricIDs.m)
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}
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}
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// Flush index to disk, so it becomes visible for search
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db.tb.DebugFlush()
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// Create a filter that will match series that occur across multiple days
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tfs := NewTagFilters()
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if err := tfs.Add([]byte("constant"), []byte("const"), false, false); err != nil {
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t.Fatalf("cannot add filter: %s", err)
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}
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// Perform a search that can be fulfilled out of the hour metrics cache.
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// This should return the metrics in the hourly cache
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tr := TimeRange{
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MinTimestamp: int64(now - msecPerHour + 1),
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MaxTimestamp: int64(now),
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}
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matchedTSIDs, err := db.searchTSIDs([]*TagFilters{tfs}, tr, 10000)
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if err != nil {
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t.Fatalf("error searching tsids: %v", err)
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}
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if len(matchedTSIDs) != 256 {
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t.Fatal("Expected time series for current hour, got", len(matchedTSIDs))
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}
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// Perform a search within a day that falls out out of the hour metrics cache.
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// This should return the metrics for the day
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tr = TimeRange{
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MinTimestamp: int64(now - 2*msecPerHour - 1),
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MaxTimestamp: int64(now),
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}
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matchedTSIDs, err = db.searchTSIDs([]*TagFilters{tfs}, tr, 10000)
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if err != nil {
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t.Fatalf("error searching tsids: %v", err)
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}
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if len(matchedTSIDs) != metricsPerDay {
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t.Fatal("Expected time series for current day, got", len(matchedTSIDs))
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}
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// Perform a search across all the days, should match all metrics
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tr = TimeRange{
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MinTimestamp: int64(now - msecPerDay*days),
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MaxTimestamp: int64(now),
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}
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matchedTSIDs, err = db.searchTSIDs([]*TagFilters{tfs}, tr, 10000)
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if err != nil {
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t.Fatalf("error searching tsids: %v", err)
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}
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if len(matchedTSIDs) != metricsPerDay*days {
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t.Fatal("Expected time series for all days, got", len(matchedTSIDs))
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}
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}
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func toTFPointers(tfs []tagFilter) []*tagFilter {
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tfps := make([]*tagFilter, len(tfs))
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for i := range tfs {
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