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5 Commits

Author SHA1 Message Date
Naman Verma
fe45b9dcae Merge branch 'main' into nv/exec-stats 2026-11-06 00:51:46 +05:30
Naman Verma
63ee60a40c fix(querier): stop cache refreshes from inflating exec stats 2026-11-06 00:51:03 +05:30
Naman Verma
29a393e47e Merge branch 'main' into nv/exec-stats 2026-11-05 10:51:11 +05:30
Naman Verma
c58f76f998 Merge branch 'main' into nv/exec-stats 2026-11-03 11:34:10 +05:30
Naman Verma
e39ad9e221 test: check how exec stats fail 2026-11-02 22:24:22 +05:30
7 changed files with 166 additions and 63 deletions

View File

@@ -26,8 +26,9 @@ const bucketCacheCellSteps = 60
type BucketCache interface {
// cached portion + list of gaps to fetch
GetMissRanges(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step) (cached *qbtypes.Result, missing []*qbtypes.TimeRange)
// store fresh buckets for future hits
Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step, fresh *qbtypes.Result)
// store fresh buckets for future hits; only the ranges in the map were
// queried for fresh, the rest of it came from the cache
Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step, fresh *qbtypes.Result, execStatsForQueriedTimeRanges map[qbtypes.TimeRange]qbtypes.ExecStats)
}
// bucketCache implements the BucketCache interface.
@@ -116,7 +117,7 @@ func (bc *bucketCache) GetMissRanges(
}
// Merge buckets into a single result
mergedResult := bc.mergeBuckets(ctx, relevantBuckets, cachedWarnings)
mergedResult := bc.mergeBuckets(ctx, relevantBuckets, cachedWarnings, startMs, endMs)
// Filter the merged result to only include values within the requested time range
mergedResult = bc.filterResultToTimeRange(mergedResult, q, startMs, endMs, stepMs)
@@ -125,7 +126,7 @@ func (bc *bucketCache) GetMissRanges(
}
// Put stores fresh query results in the cache.
func (bc *bucketCache) Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step, fresh *qbtypes.Result) {
func (bc *bucketCache) Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step, fresh *qbtypes.Result, execStatsForQueriedTimeRanges map[qbtypes.TimeRange]qbtypes.ExecStats) {
// Get query window
startMs, endMs := q.Window()
@@ -188,7 +189,7 @@ func (bc *bucketCache) Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Que
// Convert trimmed result to buckets, one per grid cell it spans
cellWidthMs := bucketCacheCellSteps * stepMs
freshBuckets := bc.resultToBuckets(ctx, trimmedResult, cachableStartMs, cachableEndMs, cellWidthMs)
freshBuckets := bc.resultToBuckets(ctx, trimmedResult, cachableStartMs, cachableEndMs, cellWidthMs, execStatsForQueriedTimeRanges)
cellKeys := make([]string, len(freshBuckets))
cellEntries := make([]cachetypes.Cacheable, len(freshBuckets))
@@ -210,7 +211,7 @@ func (bc *bucketCache) Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Que
cellEntry = cellEntries[i].(*qbtypes.CachedData)
}
cellBuckets, changed := bc.mergeFreshBucketIntoCell(ctx, cellEntry.Buckets, freshBucket)
cellBuckets, changed := bc.mergeFreshBucketIntoCell(ctx, cellEntry.Buckets, freshBucket, execStatsForQueriedTimeRanges)
if !changed {
continue
}
@@ -463,7 +464,7 @@ func (bc *bucketCache) filterRelevantBuckets(buckets []*qbtypes.CachedBucket, st
}
// mergeBuckets combines multiple cached buckets into a single result.
func (bc *bucketCache) mergeBuckets(ctx context.Context, buckets []*qbtypes.CachedBucket, warnings []string) *qbtypes.Result {
func (bc *bucketCache) mergeBuckets(ctx context.Context, buckets []*qbtypes.CachedBucket, warnings []string, startMs, endMs uint64) *qbtypes.Result {
if len(buckets) == 0 {
return &qbtypes.Result{}
}
@@ -471,12 +472,13 @@ func (bc *bucketCache) mergeBuckets(ctx context.Context, buckets []*qbtypes.Cach
// All buckets should have the same type
resultType := buckets[0].Type
// Aggregate stats
// A bucket can reach past the window; only the part inside it is served
var totalStats qbtypes.ExecStats
for _, bucket := range buckets {
totalStats.RowsScanned += bucket.Stats.RowsScanned
totalStats.BytesScanned += bucket.Stats.BytesScanned
totalStats.DurationMS += bucket.Stats.DurationMS
servedStats := bucket.ProrateStatsToWindow(startMs, endMs)
totalStats.RowsScanned += servedStats.RowsScanned
totalStats.BytesScanned += servedStats.BytesScanned
totalStats.DurationMS += servedStats.DurationMS
}
// Merge values based on type
@@ -674,7 +676,7 @@ func (bc *bucketCache) isEmptyResult(result *qbtypes.Result) (isEmpty bool, isFi
}
// resultToBuckets converts a query result into time-based buckets.
func (bc *bucketCache) resultToBuckets(ctx context.Context, result *qbtypes.Result, startMs, endMs, cellWidthMs uint64) []*qbtypes.CachedBucket {
func (bc *bucketCache) resultToBuckets(ctx context.Context, result *qbtypes.Result, startMs, endMs, cellWidthMs uint64, execStatsForQueriedTimeRanges map[qbtypes.TimeRange]qbtypes.ExecStats) []*qbtypes.CachedBucket {
// Check if result is empty
isEmpty, isFiltered := bc.isEmptyResult(result)
@@ -686,7 +688,7 @@ func (bc *bucketCache) resultToBuckets(ctx context.Context, result *qbtypes.Resu
}
// Empty filtered results still become buckets, so the range is not re-queried
perCellBuckets, err := result.SplitIntoCacheCellBuckets(startMs, endMs, cellWidthMs)
perCellBuckets, err := result.SplitIntoCacheCellBuckets(startMs, endMs, cellWidthMs, execStatsForQueriedTimeRanges)
if err != nil {
bc.logger.ErrorContext(ctx, "failed to convert result to buckets", errors.Attr(err))
return nil
@@ -698,7 +700,7 @@ func (bc *bucketCache) resultToBuckets(ctx context.Context, result *qbtypes.Resu
// and reports whether the cell changed: a bucket already covering the fresh
// one leaves it as is, buckets inside the fresh one are replaced, buckets
// overlapping or edge to edge with it are unioned, and the rest are kept apart.
func (bc *bucketCache) mergeFreshBucketIntoCell(ctx context.Context, cellBuckets []*qbtypes.CachedBucket, freshBucket *qbtypes.CachedBucket) ([]*qbtypes.CachedBucket, bool) {
func (bc *bucketCache) mergeFreshBucketIntoCell(ctx context.Context, cellBuckets []*qbtypes.CachedBucket, freshBucket *qbtypes.CachedBucket, execStatsForQueriedTimeRanges map[qbtypes.TimeRange]qbtypes.ExecStats) ([]*qbtypes.CachedBucket, bool) {
keptBuckets := make([]*qbtypes.CachedBucket, 0, len(cellBuckets)+1)
touchingBuckets := []*qbtypes.CachedBucket{}
for _, cellBucket := range cellBuckets {
@@ -711,7 +713,7 @@ func (bc *bucketCache) mergeFreshBucketIntoCell(ctx context.Context, cellBuckets
keptBuckets = append(keptBuckets, cellBucket)
}
}
keptBuckets = append(keptBuckets, bc.unionBuckets(ctx, freshBucket, touchingBuckets))
keptBuckets = append(keptBuckets, bc.unionBuckets(ctx, freshBucket, touchingBuckets, execStatsForQueriedTimeRanges))
slices.SortFunc(keptBuckets, func(a, b *qbtypes.CachedBucket) int {
return cmp.Compare(a.StartMs, b.StartMs)
@@ -722,7 +724,16 @@ func (bc *bucketCache) mergeFreshBucketIntoCell(ctx context.Context, cellBuckets
// unionBuckets widens the fresh bucket by the buckets it touches. Buckets
// inside it are replaced outright, so only a genuine partial overlap decodes
// anything.
func (bc *bucketCache) unionBuckets(ctx context.Context, freshBucket *qbtypes.CachedBucket, touchingBuckets []*qbtypes.CachedBucket) *qbtypes.CachedBucket {
func (bc *bucketCache) unionBuckets(ctx context.Context, freshBucket *qbtypes.CachedBucket, touchingBuckets []*qbtypes.CachedBucket, execStatsForQueriedTimeRanges map[qbtypes.TimeRange]qbtypes.ExecStats) *qbtypes.CachedBucket {
// Data queried again takes the new query's cost, which the fresh bucket
// carries; a touching bucket keeps its cost only for what was not queried again
for _, touchingBucket := range touchingBuckets {
keptStats := touchingBucket.ProrateStatsToUnqueried(execStatsForQueriedTimeRanges)
freshBucket.Stats.RowsScanned += keptStats.RowsScanned
freshBucket.Stats.BytesScanned += keptStats.BytesScanned
freshBucket.Stats.DurationMS += keptStats.DurationMS
}
bucketsToMerge := []*qbtypes.CachedBucket{freshBucket}
for _, touchingBucket := range touchingBuckets {
if !freshBucket.Contains(touchingBucket) {
@@ -743,14 +754,11 @@ func (bc *bucketCache) unionBuckets(ctx context.Context, freshBucket *qbtypes.Ca
EndMs: freshBucket.EndMs,
Type: freshBucket.Type,
Value: value,
Stats: qbtypes.ExecStats{StepIntervals: freshBucket.Stats.StepIntervals},
Stats: freshBucket.Stats,
}
for _, mergedBucket := range bucketsToMerge {
unionBucket.StartMs = min(unionBucket.StartMs, mergedBucket.StartMs)
unionBucket.EndMs = max(unionBucket.EndMs, mergedBucket.EndMs)
unionBucket.Stats.RowsScanned += mergedBucket.Stats.RowsScanned
unionBucket.Stats.BytesScanned += mergedBucket.Stats.BytesScanned
unionBucket.Stats.DurationMS += mergedBucket.Stats.DurationMS
}
return unionBucket
}

View File

@@ -30,7 +30,7 @@ func BenchmarkBucketCache_GetMissRanges(b *testing.B) {
endMs: uint64((i + 1) * 10000),
}
result := createBenchmarkResult(query.startMs, query.endMs, 1000)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: query.startMs, To: query.endMs}: result.Stats})
}
// Create test queries with varying cache hit patterns
@@ -121,7 +121,7 @@ func BenchmarkBucketCache_Put(b *testing.B) {
for i := 0; i < b.N; i++ {
for j := 0; j < tc.numQueries; j++ {
bc.Put(ctx, orgID, queries[j], qbtypes.Step{Duration: 1000 * time.Millisecond}, results[j])
bc.Put(ctx, orgID, queries[j], qbtypes.Step{Duration: 1000 * time.Millisecond}, results[j], map[qbtypes.TimeRange]qbtypes.ExecStats{{From: queries[j].startMs, To: queries[j].endMs}: results[j].Stats})
}
}
})
@@ -259,7 +259,7 @@ func BenchmarkBucketCache_ConcurrentOperations(b *testing.B) {
endMs: uint64((i + 1) * 10000),
}
result := createBenchmarkResult(query.startMs, query.endMs, 1000)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: query.startMs, To: query.endMs}: result.Stats})
}
b.ResetTimer()
@@ -284,7 +284,7 @@ func BenchmarkBucketCache_ConcurrentOperations(b *testing.B) {
endMs: uint64((i + 1) * 10000),
}
result := createBenchmarkResult(query.startMs, query.endMs, 1000)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: query.startMs, To: query.endMs}: result.Stats})
case 2: // Partial read
query := &mockQuery{
fingerprint: fmt.Sprintf("concurrent-query-%d", i%100),

View File

@@ -59,7 +59,7 @@ func TestBucketCacheStepAlignment(t *testing.T) {
}
// Put result in cache
bc.Put(ctx, orgID, query, step, result)
bc.Put(ctx, orgID, query, step, result, nil)
// Get cached data
cached, missing := bc.GetMissRanges(ctx, orgID, query, step)
@@ -109,7 +109,7 @@ func TestBucketCacheNoStepInterval(t *testing.T) {
}
// Should cache the entire range when step is 0
bc.Put(ctx, orgID, query, step, result)
bc.Put(ctx, orgID, query, step, result, nil)
cached, missing := bc.GetMissRanges(ctx, orgID, query, step)
assert.NotNil(t, cached)

View File

@@ -156,7 +156,7 @@ func TestBucketCache_Put_And_Get(t *testing.T) {
}
// Store in cache
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: query.startMs, To: query.endMs}: result.Stats})
// Wait a bit for cache to be written
time.Sleep(10 * time.Millisecond)
@@ -189,7 +189,7 @@ func TestBucketCache_PartialHit(t *testing.T) {
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries("A", 1000, 3000, 1000),
}
bc.Put(context.Background(), valuer.UUID{}, query1, qbtypes.Step{Duration: 1000 * time.Millisecond}, result1)
bc.Put(context.Background(), valuer.UUID{}, query1, qbtypes.Step{Duration: 1000 * time.Millisecond}, result1, nil)
// Wait for cache write
time.Sleep(10 * time.Millisecond)
@@ -225,7 +225,7 @@ func TestBucketCache_MultipleBuckets(t *testing.T) {
bc.Put(context.Background(), valuer.UUID{}, query1, qbtypes.Step{Duration: 100 * time.Millisecond}, &qbtypes.Result{
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries("A", 1000, 2000, 100),
})
}, nil)
query2 := &mockQuery{
fingerprint: "test-query",
@@ -235,7 +235,7 @@ func TestBucketCache_MultipleBuckets(t *testing.T) {
bc.Put(context.Background(), valuer.UUID{}, query2, qbtypes.Step{Duration: 100 * time.Millisecond}, &qbtypes.Result{
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries("A", 3000, 4000, 100),
})
}, nil)
// Wait for cache writes
time.Sleep(10 * time.Millisecond)
@@ -280,7 +280,7 @@ func TestBucketCache_FluxInterval(t *testing.T) {
}
// This should not be cached due to flux interval
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
// Wait a bit
time.Sleep(10 * time.Millisecond)
@@ -358,7 +358,7 @@ func TestBucketCache_MergeTimeSeriesResults(t *testing.T) {
{Series: []*qbtypes.TimeSeries{series1}},
},
},
})
}, nil)
// Cache second part
query2 := &mockQuery{
@@ -374,7 +374,7 @@ func TestBucketCache_MergeTimeSeriesResults(t *testing.T) {
{Series: []*qbtypes.TimeSeries{series2}},
},
},
})
}, nil)
// Wait for cache writes
time.Sleep(10 * time.Millisecond)
@@ -441,7 +441,7 @@ func TestBucketCache_RawData(t *testing.T) {
Value: rawData,
}
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
time.Sleep(10 * time.Millisecond)
cached, missing := bc.GetMissRanges(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond})
@@ -481,7 +481,7 @@ func TestBucketCache_ScalarData(t *testing.T) {
Value: scalarData,
}
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
time.Sleep(10 * time.Millisecond)
cached, missing := bc.GetMissRanges(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond})
@@ -509,7 +509,7 @@ func TestBucketCache_EmptyFingerprint(t *testing.T) {
Value: createTestTimeSeries("A", 1000, 5000, 1000),
}
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
time.Sleep(10 * time.Millisecond)
// Should still be able to retrieve
@@ -564,7 +564,7 @@ func TestBucketCache_ConcurrentAccess(t *testing.T) {
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries(fmt.Sprintf("Q%d", id), query.startMs, query.endMs, 100),
}
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 100 * time.Microsecond}, result)
bc.Put(context.Background(), valuer.UUID{}, query, qbtypes.Step{Duration: 100 * time.Microsecond}, result, nil)
done <- true
}(i)
}
@@ -624,7 +624,7 @@ func TestBucketCache_GetMissRanges_FluxInterval(t *testing.T) {
},
}
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, cachedResult)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, cachedResult, nil)
// Get miss ranges
cached, missing := bc.GetMissRanges(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond})
@@ -686,7 +686,7 @@ func TestBucketCache_Put_FluxIntervalTrimming(t *testing.T) {
}
// Put the result
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: query.startMs, To: query.endMs}: result.Stats})
// Retrieve cached data
cached, missing := bc.GetMissRanges(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond})
@@ -756,7 +756,7 @@ func TestBucketCache_Put_EntireRangeInFluxInterval(t *testing.T) {
}
// Put the result - should not cache anything
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
// Try to get cached data - should have no cached data
cached, missing := bc.GetMissRanges(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond})
@@ -862,7 +862,7 @@ func TestBucketCache_EmptyDataHandling(t *testing.T) {
}
// Put the result
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, tt.result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, tt.result, nil)
// Wait a bit for cache to be written
time.Sleep(10 * time.Millisecond)
@@ -927,7 +927,7 @@ func TestBucketCache_PartialValues(t *testing.T) {
}
// Put the result
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: query.startMs, To: query.endMs}: result.Stats})
// Wait for cache to be written
time.Sleep(10 * time.Millisecond)
@@ -997,7 +997,7 @@ func TestBucketCache_AllPartialValues(t *testing.T) {
}
// Put the result
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
// Wait for cache to be written
time.Sleep(10 * time.Millisecond)
@@ -1058,7 +1058,7 @@ func TestBucketCache_FilteredCachedResults(t *testing.T) {
}
// Cache the wide range
bc.Put(ctx, orgID, query1, qbtypes.Step{Duration: 1000 * time.Millisecond}, result1)
bc.Put(ctx, orgID, query1, qbtypes.Step{Duration: 1000 * time.Millisecond}, result1, nil)
time.Sleep(10 * time.Millisecond)
// Now query for a smaller range (2000-3500ms)
@@ -1125,7 +1125,7 @@ func TestBucketCache_PromQLKeepsTheValueAtTheWindowEnd(t *testing.T) {
}},
}},
},
})
}, nil)
time.Sleep(10 * time.Millisecond)
cached, missing := bc.GetMissRanges(ctx, orgID, query, step)
@@ -1291,7 +1291,7 @@ func TestBucketCache_PartialValueDetection(t *testing.T) {
}
// Put the result
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
time.Sleep(10 * time.Millisecond)
// Get cached data
@@ -1345,7 +1345,7 @@ func TestBucketCache_PartialValueDetection(t *testing.T) {
}
// Put the result
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
time.Sleep(10 * time.Millisecond)
// Get cached data
@@ -1397,7 +1397,7 @@ func TestBucketCache_PartialValueDetection(t *testing.T) {
}
// Put the result
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
time.Sleep(10 * time.Millisecond)
// Get cached data
@@ -1454,7 +1454,7 @@ func TestBucketCache_NoCache(t *testing.T) {
}
// Put the result in cache
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result)
bc.Put(ctx, orgID, query, qbtypes.Step{Duration: 1000 * time.Millisecond}, result, nil)
time.Sleep(10 * time.Millisecond)
// Verify data is cached
@@ -1475,11 +1475,12 @@ func TestBucketCachePutSlicesAtCellBoundaries(t *testing.T) {
// a 1s step gives 60s cells, so 30s to 150s spans three of them
query := &mockQuery{fingerprint: "sliced-query", startMs: 30000, endMs: 150000}
bc.Put(ctx, orgID, query, step, &qbtypes.Result{
result := &qbtypes.Result{
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries("A", 30000, 150000, 1000),
Stats: qbtypes.ExecStats{RowsScanned: 120, BytesScanned: 1200, DurationMS: 12},
})
}
bc.Put(ctx, orgID, query, step, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: 30000, To: 150000}: result.Stats})
type bucketShape struct {
cell, startMs, endMs, rowsScanned uint64
@@ -1539,7 +1540,7 @@ func TestBucketCachePutAbsorbsWritesWithinACell(t *testing.T) {
name: "OverlappingWrites_BecomeOne",
firstWindow: qbtypes.TimeRange{From: 1000, To: 4000},
secondWindow: qbtypes.TimeRange{From: 3000, To: 6000},
expectedBuckets: []bucketShape{{1000, 6000, 6}},
expectedBuckets: []bucketShape{{1000, 6000, 5}},
expectedMissingRanges: []*qbtypes.TimeRange{},
expectedValueCount: 5,
},
@@ -1570,12 +1571,13 @@ func TestBucketCachePutAbsorbsWritesWithinACell(t *testing.T) {
for _, window := range []qbtypes.TimeRange{testCase.firstWindow, testCase.secondWindow} {
query := &mockQuery{fingerprint: "absorb-query", startMs: window.From, endMs: window.To}
bc.Put(ctx, orgID, query, step, &qbtypes.Result{
result := &qbtypes.Result{
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries("A", window.From, window.To, 1000),
// one row per second, so a bucket's stats read as the seconds it was scanned for
// one row per second, so a bucket's stats read as the seconds of data it holds
Stats: qbtypes.ExecStats{RowsScanned: (window.To - window.From) / 1000},
})
}
bc.Put(ctx, orgID, query, step, result, map[qbtypes.TimeRange]qbtypes.ExecStats{window: result.Stats})
}
query := &mockQuery{
@@ -1609,7 +1611,7 @@ func TestBucketCachePutLeavesAnUnchangedCellAlone(t *testing.T) {
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries("A", 1000, 10000, 1000),
Warnings: []string{"from the wide write"},
})
}, nil)
// a write already covered by the cell's bucket must not rewrite the entry,
// which shows as its warnings never arriving
@@ -1618,7 +1620,7 @@ func TestBucketCachePutLeavesAnUnchangedCellAlone(t *testing.T) {
Type: qbtypes.RequestTypeTimeSeries,
Value: createTestTimeSeries("A", 3000, 5000, 1000),
Warnings: []string{"from the inside write"},
})
}, nil)
var cellEntry qbtypes.CachedData
require.NoError(t, bc.cache.Get(ctx, orgID, bc.generateCacheKey(wide, 0), &cellEntry))

View File

@@ -823,7 +823,7 @@ func (q *querier) executeWithCache(ctx context.Context, orgID valuer.UUID, query
return nil, err
}
// Store in cache for future use
q.bucketCache.Put(ctx, orgID, query, step, result)
q.bucketCache.Put(ctx, orgID, query, step, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: startMs, To: endMs}: result.Stats})
return result, nil
}
}
@@ -879,16 +879,19 @@ func (q *querier) executeWithCache(ctx context.Context, orgID valuer.UUID, query
if err != nil {
return nil, err
}
q.bucketCache.Put(ctx, orgID, query, step, result)
startMs, endMs := query.Window()
q.bucketCache.Put(ctx, orgID, query, step, result, map[qbtypes.TimeRange]qbtypes.ExecStats{{From: startMs, To: endMs}: result.Stats})
return result, nil
}
}
// Calculate total stats and filter out nil results
validResults := make([]*qbtypes.Result, 0, len(freshResults))
for _, result := range freshResults {
execStatsForQueriedTimeRanges := make(map[qbtypes.TimeRange]qbtypes.ExecStats, len(freshResults))
for i, result := range freshResults {
if result != nil {
validResults = append(validResults, result)
execStatsForQueriedTimeRanges[*missingRanges[i]] = result.Stats
totalStats.RowsScanned += result.Stats.RowsScanned
totalStats.BytesScanned += result.Stats.BytesScanned
totalStats.DurationMS += result.Stats.DurationMS
@@ -903,7 +906,7 @@ func (q *querier) executeWithCache(ctx context.Context, orgID valuer.UUID, query
mergedResult.Stats.DurationMS += totalStats.DurationMS
// Store merged result in cache
q.bucketCache.Put(ctx, orgID, query, step, mergedResult)
q.bucketCache.Put(ctx, orgID, query, step, mergedResult, execStatsForQueriedTimeRanges)
return mergedResult, nil
}

View File

@@ -43,6 +43,23 @@ func (c *CachedBucket) Touches(other *CachedBucket) bool {
return c.StartMs <= other.EndMs && other.StartMs <= c.EndMs
}
// ProrateStatsToWindow returns the share of the stats for the part of the
// bucket inside [startMs, endMs).
func (c *CachedBucket) ProrateStatsToWindow(startMs, endMs uint64) ExecStats {
return c.Stats.prorate(overlapMs(c.StartMs, c.EndMs, startMs, endMs), c.EndMs-c.StartMs)
}
// ProrateStatsToUnqueried returns the share of the stats for the part of the
// bucket no queried range covers.
func (c *CachedBucket) ProrateStatsToUnqueried(execStatsForQueriedTimeRanges map[TimeRange]ExecStats) ExecStats {
widthMs := c.EndMs - c.StartMs
queriedMs := uint64(0)
for queried := range execStatsForQueriedTimeRanges {
queriedMs += overlapMs(c.StartMs, c.EndMs, queried.From, queried.To)
}
return c.Stats.prorate(widthMs-min(queriedMs, widthMs), widthMs)
}
// CachedData represents the full cached data for a query.
type CachedData struct {
Buckets []*CachedBucket `json:"buckets"`
@@ -88,7 +105,7 @@ func (c *CachedData) Cost() int64 {
return size
}
func (r *Result) SplitIntoCacheCellBuckets(startMs, endMs, cellWidthMs uint64) ([]*CachedBucket, error) {
func (r *Result) SplitIntoCacheCellBuckets(startMs, endMs, cellWidthMs uint64, execStatsForQueriedTimeRanges map[TimeRange]ExecStats) ([]*CachedBucket, error) {
tsData, ok := r.Value.(*TimeSeriesData)
if !ok || tsData == nil {
return nil, errors.NewInternalf(errors.CodeInternal, "result of type %s cannot be bucketed", r.Type.StringValue())
@@ -111,18 +128,39 @@ func (r *Result) SplitIntoCacheCellBuckets(startMs, endMs, cellWidthMs uint64) (
if err != nil {
return nil, err
}
// A slice costs what was queried inside it; the rest of the result came
// out of the cache and is costed there already
sliceStats := ExecStats{StepIntervals: maps.Clone(r.Stats.StepIntervals)}
for queried, stats := range execStatsForQueriedTimeRanges {
queriedMs := overlapMs(from, to, queried.From, queried.To)
if queriedMs == 0 {
continue
}
share := stats.prorate(queriedMs, queried.To-queried.From)
sliceStats.RowsScanned += share.RowsScanned
sliceStats.BytesScanned += share.BytesScanned
sliceStats.DurationMS += share.DurationMS
}
cellBuckets = append(cellBuckets, &CachedBucket{
StartMs: from,
EndMs: to,
Type: r.Type,
Value: value,
Stats: r.Stats.prorate(to-from, endMs-startMs),
Stats: sliceStats,
})
from = to
}
return cellBuckets, nil
}
// overlapMs is the length of [aFromMs, aToMs) ∩ [bFromMs, bToMs).
func overlapMs(aFromMs, aToMs, bFromMs, bToMs uint64) uint64 {
if fromMs, toMs := max(aFromMs, bFromMs), min(aToMs, bToMs); fromMs < toMs {
return toMs - fromMs
}
return 0
}
// prorate returns the share of the stats that partMs out of wholeMs of the
// scanned window accounts for.
func (e ExecStats) prorate(partMs, wholeMs uint64) ExecStats {

View File

@@ -442,3 +442,55 @@ def test_builder_refreshing_a_sliding_time_range(
assert uncached.status_code == HTTPStatus.OK, uncached.text
assert_results_equal(from_cache.json(), uncached.json(), "A", "the twentieth refresh")
def test_builder_refreshing_does_not_inflate_rows_scanned(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[list[Metrics]], None],
) -> None:
metric_name = f"cache_rows_scanned_{uuid4().hex[:8]}"
# 90 minutes back so even the last refresh closes clear of the flux
# interval, which holds recent data out of the cache
start_time = datetime.fromtimestamp(int((datetime.now(tz=UTC) - timedelta(minutes=90)).timestamp()) // 60 * 60, tz=UTC)
start_time_ms = int(start_time.timestamp() * 1000)
query = [build_builder_query("A", metric_name, "max", "max")]
insert_metrics(
[
Metrics(
metric_name=metric_name,
labels={"service": "api"},
timestamp=start_time + timedelta(minutes=minute),
value=minute,
type_="Gauge",
is_monotonic=False,
)
for minute in range(70)
]
)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
# a dashboard left open on a thirty minute range, re-running a minute later
# each time. rowsScanned is a cost indicator, so a refresh served mostly out
# of the cache cannot claim more than every read made so far: the first
# full read and then one new minute per refresh, measured with the cache off
uncached_rows_scanned_so_far = 0
for refresh in range(10):
refresh_start_ms = start_time_ms + refresh * MINUTE_MS
refresh_end_ms = refresh_start_ms + 30 * MINUTE_MS
uncached_start_ms = refresh_start_ms if refresh == 0 else refresh_end_ms - MINUTE_MS
uncached_response = make_query_request(signoz, token, uncached_start_ms, refresh_end_ms, query, no_cache=True)
assert uncached_response.status_code == HTTPStatus.OK, f"refresh {refresh}: uncached read failed: {uncached_response.text}"
uncached_rows_scanned_so_far += uncached_response.json()["data"]["meta"]["rowsScanned"]
assert uncached_rows_scanned_so_far > 0, f"refresh {refresh}: uncached read reported no rows scanned"
cached_response = make_query_request(signoz, token, refresh_start_ms, refresh_end_ms, query, no_cache=False)
assert cached_response.status_code == HTTPStatus.OK, f"refresh {refresh}: cached read failed: {cached_response.text}"
cached_rows_scanned = cached_response.json()["data"]["meta"]["rowsScanned"]
assert cached_rows_scanned <= uncached_rows_scanned_so_far, f"refresh {refresh}: cached read reported {cached_rows_scanned} rows scanned, more than the {uncached_rows_scanned_so_far} rows all uncached reads scanned so far"