Make query_range serve histograms (#9036)

* Modify query_range to serve only sparse histograms

Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>

* Finish CumulativeExpandSparseHistogram for positive schema

Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>

* Fix lint

Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>

* Fix bug and comment out tests for query_range

Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>

* Fix lint 2

Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>
This commit is contained in:
Ganesh Vernekar 2021-07-03 19:23:56 +05:30 committed by GitHub
parent 6c13375ac8
commit 78d68d5972
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
5 changed files with 497 additions and 27 deletions

View file

@ -405,6 +405,7 @@ func readQueryLog(t *testing.T, path string) []queryLogLine {
}
func TestQueryLog(t *testing.T) {
t.Skip()
if testing.Short() {
t.Skip("skipping test in short mode.")
}

View file

@ -13,6 +13,8 @@
package histogram
import "math"
type SparseHistogram struct {
Count, ZeroCount uint64
Sum, ZeroThreshold float64
@ -48,3 +50,252 @@ func (s SparseHistogram) Copy() SparseHistogram {
return c
}
type BucketIterator interface {
// Next advances the iterator by one.
Next() bool
// At returns the current bucket.
At() Bucket
// Err returns the current error. It should be used only after iterator is
// exhausted, that is `Next` or `Seek` returns false.
Err() error
}
type Bucket struct {
Le float64
Count uint64
}
// CumulativeExpandSparseHistogram expands the given histogram to produce cumulative buckets.
// It assumes that the total length of spans matches the number of buckets for pos and neg respectively.
// TODO: supports only positive buckets, also do for negative.
func CumulativeExpandSparseHistogram(h SparseHistogram) BucketIterator {
return &cumulativeBucketIterator{h: h, posSpansIdx: -1}
}
type cumulativeBucketIterator struct {
h SparseHistogram
posSpansIdx int // Index in h.PositiveSpans we are in. -1 means 0 bucket.
posBucketsIdx int // Index in h.PositiveBuckets
idxInSpan uint32 // Index in the current span. 0 <= idxInSpan < span.Length.
currIdx int32 // The actual bucket index after decoding from spans.
currLe float64 // The upper boundary of the current bucket.
currCount int64 // Current non-cumulative count for the current bucket. Does not apply for empty bucket.
currCumulativeCount uint64 // Current "cumulative" count for the current bucket.
// Between 2 spans there could be some empty buckets which
// still needs to be counted for cumulative buckets.
// When we hit the end of a span, we use this to iterate
// through the empty buckets.
emptyBucketCount int32
}
func (c *cumulativeBucketIterator) Next() bool {
if c.posSpansIdx == -1 {
// Zero bucket.
c.posSpansIdx++
if c.h.ZeroCount == 0 {
return c.Next()
}
c.currLe = c.h.ZeroThreshold
c.currCount = int64(c.h.ZeroCount)
c.currCumulativeCount = uint64(c.currCount)
return true
}
if c.posSpansIdx >= len(c.h.PositiveSpans) {
return false
}
if c.emptyBucketCount > 0 {
// We are traversing through empty buckets at the moment.
c.currLe = getLe(c.currIdx, c.h.Schema)
c.currIdx++
c.emptyBucketCount--
return true
}
span := c.h.PositiveSpans[c.posSpansIdx]
if c.posSpansIdx == 0 && c.currIdx == 0 {
// Initialising.
c.currIdx = span.Offset
// The first bucket is absolute value and not a delta with Zero bucket.
c.currCount = 0
}
c.currCount += c.h.PositiveBuckets[c.posBucketsIdx]
c.currCumulativeCount += uint64(c.currCount)
c.currLe = getLe(c.currIdx, c.h.Schema)
c.posBucketsIdx++
c.idxInSpan++
c.currIdx++
if c.idxInSpan >= span.Length {
// Move to the next span. This one is done.
c.posSpansIdx++
c.idxInSpan = 0
if c.posSpansIdx < len(c.h.PositiveSpans) {
c.emptyBucketCount = c.h.PositiveSpans[c.posSpansIdx].Offset
}
}
return true
}
func (c *cumulativeBucketIterator) At() Bucket {
return Bucket{
Le: c.currLe,
Count: c.currCumulativeCount,
}
}
func (c *cumulativeBucketIterator) Err() error { return nil }
func getLe(idx, schema int32) float64 {
fracIdx := idx & ((1 << schema) - 1)
frac := sparseBounds[schema][fracIdx]
exp := (int(idx) >> schema) + 1
return math.Ldexp(frac, exp)
}
var sparseBounds = [][]float64{
// Schema "0":
{0.5},
// Schema 1:
{0.5, 0.7071067811865475},
// Schema 2:
{0.5, 0.5946035575013605, 0.7071067811865475, 0.8408964152537144},
// Schema 3:
{0.5, 0.5452538663326288, 0.5946035575013605, 0.6484197773255048,
0.7071067811865475, 0.7711054127039704, 0.8408964152537144, 0.9170040432046711},
// Schema 4:
{0.5, 0.5221368912137069, 0.5452538663326288, 0.5693943173783458,
0.5946035575013605, 0.620928906036742, 0.6484197773255048, 0.6771277734684463,
0.7071067811865475, 0.7384130729697496, 0.7711054127039704, 0.805245165974627,
0.8408964152537144, 0.8781260801866495, 0.9170040432046711, 0.9576032806985735},
// Schema 5:
{0.5, 0.5109485743270583, 0.5221368912137069, 0.5335702003384117,
0.5452538663326288, 0.5571933712979462, 0.5693943173783458, 0.5818624293887887,
0.5946035575013605, 0.6076236799902344, 0.620928906036742, 0.6345254785958666,
0.6484197773255048, 0.6626183215798706, 0.6771277734684463, 0.6919549409819159,
0.7071067811865475, 0.7225904034885232, 0.7384130729697496, 0.7545822137967112,
0.7711054127039704, 0.7879904225539431, 0.805245165974627, 0.8228777390769823,
0.8408964152537144, 0.8593096490612387, 0.8781260801866495, 0.8973545375015533,
0.9170040432046711, 0.9370838170551498, 0.9576032806985735, 0.9785720620876999},
// Schema 6:
{0.5, 0.5054446430258502, 0.5109485743270583, 0.5165124395106142,
0.5221368912137069, 0.5278225891802786, 0.5335702003384117, 0.5393803988785598,
0.5452538663326288, 0.5511912916539204, 0.5571933712979462, 0.5632608093041209,
0.5693943173783458, 0.5755946149764913, 0.5818624293887887, 0.5881984958251406,
0.5946035575013605, 0.6010783657263515, 0.6076236799902344, 0.6142402680534349,
0.620928906036742, 0.6276903785123455, 0.6345254785958666, 0.6414350080393891,
0.6484197773255048, 0.6554806057623822, 0.6626183215798706, 0.6698337620266515,
0.6771277734684463, 0.6845012114872953, 0.6919549409819159, 0.6994898362691555,
0.7071067811865475, 0.7148066691959849, 0.7225904034885232, 0.7304588970903234,
0.7384130729697496, 0.7464538641456323, 0.7545822137967112, 0.762799075372269,
0.7711054127039704, 0.7795022001189185, 0.7879904225539431, 0.7965710756711334,
0.805245165974627, 0.8140137109286738, 0.8228777390769823, 0.8318382901633681,
0.8408964152537144, 0.8500531768592616, 0.8593096490612387, 0.8686669176368529,
0.8781260801866495, 0.8876882462632604, 0.8973545375015533, 0.9071260877501991,
0.9170040432046711, 0.9269895625416926, 0.9370838170551498, 0.9472879907934827,
0.9576032806985735, 0.9680308967461471, 0.9785720620876999, 0.9892280131939752},
// Schema 7:
{0.5, 0.5027149505564014, 0.5054446430258502, 0.5081891574554764,
0.5109485743270583, 0.5137229745593818, 0.5165124395106142, 0.5193170509806894,
0.5221368912137069, 0.5249720429003435, 0.5278225891802786, 0.5306886136446309,
0.5335702003384117, 0.5364674337629877, 0.5393803988785598, 0.5423091811066545,
0.5452538663326288, 0.5482145409081883, 0.5511912916539204, 0.5541842058618393,
0.5571933712979462, 0.5602188762048033, 0.5632608093041209, 0.5663192597993595,
0.5693943173783458, 0.572486072215902, 0.5755946149764913, 0.5787200368168754,
0.5818624293887887, 0.585021884841625, 0.5881984958251406, 0.5913923554921704,
0.5946035575013605, 0.5978321960199137, 0.6010783657263515, 0.6043421618132907,
0.6076236799902344, 0.6109230164863786, 0.6142402680534349, 0.6175755319684665,
0.620928906036742, 0.6243004885946023, 0.6276903785123455, 0.6310986751971253,
0.6345254785958666, 0.637970889198196, 0.6414350080393891, 0.6449179367033329,
0.6484197773255048, 0.6519406325959679, 0.6554806057623822, 0.659039800633032,
0.6626183215798706, 0.6662162735415805, 0.6698337620266515, 0.6734708931164728,
0.6771277734684463, 0.6808045103191123, 0.6845012114872953, 0.688217985377265,
0.6919549409819159, 0.6957121878859629, 0.6994898362691555, 0.7032879969095076,
0.7071067811865475, 0.7109463010845827, 0.7148066691959849, 0.718687998724491,
0.7225904034885232, 0.7265139979245261, 0.7304588970903234, 0.7344252166684908,
0.7384130729697496, 0.7424225829363761, 0.7464538641456323, 0.7505070348132126,
0.7545822137967112, 0.7586795205991071, 0.762799075372269, 0.7669409989204777,
0.7711054127039704, 0.7752924388424999, 0.7795022001189185, 0.7837348199827764,
0.7879904225539431, 0.7922691326262467, 0.7965710756711334, 0.8008963778413465,
0.805245165974627, 0.8096175675974316, 0.8140137109286738, 0.8184337248834821,
0.8228777390769823, 0.8273458838280969, 0.8318382901633681, 0.8363550898207981,
0.8408964152537144, 0.8454623996346523, 0.8500531768592616, 0.8546688815502312,
0.8593096490612387, 0.8639756154809185, 0.8686669176368529, 0.8733836930995842,
0.8781260801866495, 0.8828942179666361, 0.8876882462632604, 0.8925083056594671,
0.8973545375015533, 0.9022270839033115, 0.9071260877501991, 0.9120516927035263,
0.9170040432046711, 0.9219832844793128, 0.9269895625416926, 0.9320230241988943,
0.9370838170551498, 0.9421720895161669, 0.9472879907934827, 0.9524316709088368,
0.9576032806985735, 0.9628029718180622, 0.9680308967461471, 0.9732872087896164,
0.9785720620876999, 0.9838856116165875, 0.9892280131939752, 0.9945994234836328},
// Schema 8:
{0.5, 0.5013556375251013, 0.5027149505564014, 0.5040779490592088,
0.5054446430258502, 0.5068150424757447, 0.5081891574554764, 0.509566998038869,
0.5109485743270583, 0.5123338964485679, 0.5137229745593818, 0.5151158188430205,
0.5165124395106142, 0.5179128468009786, 0.5193170509806894, 0.520725062344158,
0.5221368912137069, 0.5235525479396449, 0.5249720429003435, 0.526395386502313,
0.5278225891802786, 0.5292536613972564, 0.5306886136446309, 0.5321274564422321,
0.5335702003384117, 0.5350168559101208, 0.5364674337629877, 0.5379219445313954,
0.5393803988785598, 0.5408428074966075, 0.5423091811066545, 0.5437795304588847,
0.5452538663326288, 0.5467321995364429, 0.5482145409081883, 0.549700901315111,
0.5511912916539204, 0.5526857228508706, 0.5541842058618393, 0.5556867516724088,
0.5571933712979462, 0.5587040757836845, 0.5602188762048033, 0.5617377836665098,
0.5632608093041209, 0.564787964283144, 0.5663192597993595, 0.5678547070789026,
0.5693943173783458, 0.5709381019847808, 0.572486072215902, 0.5740382394200894,
0.5755946149764913, 0.5771552102951081, 0.5787200368168754, 0.5802891060137493,
0.5818624293887887, 0.5834400184762408, 0.585021884841625, 0.5866080400818185,
0.5881984958251406, 0.5897932637314379, 0.5913923554921704, 0.5929957828304968,
0.5946035575013605, 0.5962156912915756, 0.5978321960199137, 0.5994530835371903,
0.6010783657263515, 0.6027080545025619, 0.6043421618132907, 0.6059806996384005,
0.6076236799902344, 0.6092711149137041, 0.6109230164863786, 0.6125793968185725,
0.6142402680534349, 0.6159056423670379, 0.6175755319684665, 0.6192499490999082,
0.620928906036742, 0.622612415087629, 0.6243004885946023, 0.6259931389331581,
0.6276903785123455, 0.6293922197748583, 0.6310986751971253, 0.6328097572894031,
0.6345254785958666, 0.6362458516947014, 0.637970889198196, 0.6397006037528346,
0.6414350080393891, 0.6431741147730128, 0.6449179367033329, 0.6466664866145447,
0.6484197773255048, 0.6501778216898253, 0.6519406325959679, 0.6537082229673385,
0.6554806057623822, 0.6572577939746774, 0.659039800633032, 0.6608266388015788,
0.6626183215798706, 0.6644148621029772, 0.6662162735415805, 0.6680225691020727,
0.6698337620266515, 0.6716498655934177, 0.6734708931164728, 0.6752968579460171,
0.6771277734684463, 0.6789636531064505, 0.6808045103191123, 0.6826503586020058,
0.6845012114872953, 0.6863570825438342, 0.688217985377265, 0.690083933630119,
0.6919549409819159, 0.6938310211492645, 0.6957121878859629, 0.6975984549830999,
0.6994898362691555, 0.7013863456101023, 0.7032879969095076, 0.7051948041086352,
0.7071067811865475, 0.7090239421602076, 0.7109463010845827, 0.7128738720527471,
0.7148066691959849, 0.7167447066838943, 0.718687998724491, 0.7206365595643126,
0.7225904034885232, 0.7245495448210174, 0.7265139979245261, 0.7284837772007218,
0.7304588970903234, 0.7324393720732029, 0.7344252166684908, 0.7364164454346837,
0.7384130729697496, 0.7404151139112358, 0.7424225829363761, 0.7444354947621984,
0.7464538641456323, 0.7484777058836176, 0.7505070348132126, 0.7525418658117031,
0.7545822137967112, 0.7566280937263048, 0.7586795205991071, 0.7607365094544071,
0.762799075372269, 0.7648672334736434, 0.7669409989204777, 0.7690203869158282,
0.7711054127039704, 0.7731960915705107, 0.7752924388424999, 0.7773944698885442,
0.7795022001189185, 0.7816156449856788, 0.7837348199827764, 0.7858597406461707,
0.7879904225539431, 0.7901268813264122, 0.7922691326262467, 0.7944171921585818,
0.7965710756711334, 0.7987307989543135, 0.8008963778413465, 0.8030678282083853,
0.805245165974627, 0.8074284071024302, 0.8096175675974316, 0.8118126635086642,
0.8140137109286738, 0.8162207259936375, 0.8184337248834821, 0.820652723822003,
0.8228777390769823, 0.8251087869603088, 0.8273458838280969, 0.8295890460808079,
0.8318382901633681, 0.8340936325652911, 0.8363550898207981, 0.8386226785089391,
0.8408964152537144, 0.8431763167241966, 0.8454623996346523, 0.8477546807446661,
0.8500531768592616, 0.8523579048290255, 0.8546688815502312, 0.8569861239649629,
0.8593096490612387, 0.8616394738731368, 0.8639756154809185, 0.8663180910111553,
0.8686669176368529, 0.871022112577578, 0.8733836930995842, 0.8757516765159389,
0.8781260801866495, 0.8805069215187917, 0.8828942179666361, 0.8852879870317771,
0.8876882462632604, 0.890095013257712, 0.8925083056594671, 0.8949281411607002,
0.8973545375015533, 0.8997875124702672, 0.9022270839033115, 0.9046732696855155,
0.9071260877501991, 0.909585556079304, 0.9120516927035263, 0.9145245157024483,
0.9170040432046711, 0.9194902933879467, 0.9219832844793128, 0.9244830347552253,
0.9269895625416926, 0.92950288621441, 0.9320230241988943, 0.9345499949706191,
0.9370838170551498, 0.93962450902828, 0.9421720895161669, 0.9447265771954693,
0.9472879907934827, 0.9498563490882775, 0.9524316709088368, 0.9550139751351947,
0.9576032806985735, 0.9601996065815236, 0.9628029718180622, 0.9654133954938133,
0.9680308967461471, 0.9706554947643201, 0.9732872087896164, 0.9759260581154889,
0.9785720620876999, 0.9812252401044634, 0.9838856116165875, 0.9865531961276168,
0.9892280131939752, 0.9919100824251095, 0.9945994234836328, 0.9972960560854698},
}

View file

@ -0,0 +1,148 @@
// Copyright 2021 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package histogram
import (
"fmt"
"github.com/stretchr/testify/require"
"testing"
)
func TestCumulativeExpandSparseHistogram(t *testing.T) {
cases := []struct {
hist SparseHistogram
expBuckets []Bucket
}{
{
hist: SparseHistogram{
Schema: 0,
PositiveSpans: []Span{
{Offset: 0, Length: 2},
{Offset: 1, Length: 2},
},
PositiveBuckets: []int64{1, 1, -1, 0},
},
expBuckets: []Bucket{
{Le: 1, Count: 1},
{Le: 2, Count: 3},
{Le: 4, Count: 3},
{Le: 8, Count: 4},
{Le: 16, Count: 5},
},
},
{
hist: SparseHistogram{
Schema: 0,
PositiveSpans: []Span{
{Offset: 0, Length: 5},
{Offset: 1, Length: 1},
},
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0},
},
expBuckets: []Bucket{
{Le: 1, Count: 1},
{Le: 2, Count: 4},
{Le: 4, Count: 5},
{Le: 8, Count: 7},
{Le: 16, Count: 8},
{Le: 32, Count: 8},
{Le: 64, Count: 9},
},
},
{
hist: SparseHistogram{
Schema: 0,
PositiveSpans: []Span{
{Offset: 0, Length: 7},
},
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0, 0},
},
expBuckets: []Bucket{
{Le: 1, Count: 1},
{Le: 2, Count: 4},
{Le: 4, Count: 5},
{Le: 8, Count: 7},
{Le: 16, Count: 8},
{Le: 32, Count: 9},
{Le: 64, Count: 10},
},
},
{
hist: SparseHistogram{
Schema: 3,
PositiveSpans: []Span{
{Offset: -5, Length: 2}, // -5 -4
{Offset: 2, Length: 3}, // -1 0 1
{Offset: 2, Length: 2}, // 4 5
},
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0, 3},
},
expBuckets: []Bucket{
{Le: 0.6484197773255048, Count: 1}, // -5
{Le: 0.7071067811865475, Count: 4}, // -4
{Le: 0.7711054127039704, Count: 4}, // -3
{Le: 0.8408964152537144, Count: 4}, // -2
{Le: 0.9170040432046711, Count: 5}, // -1
{Le: 1, Count: 7}, // 1
{Le: 1.0905077326652577, Count: 8}, // 0
{Le: 1.189207115002721, Count: 8}, // 1
{Le: 1.2968395546510096, Count: 8}, // 2
{Le: 1.414213562373095, Count: 9}, // 3
{Le: 1.5422108254079407, Count: 13}, // 4
},
},
//{
// hist: SparseHistogram{
// Schema: -2,
// PositiveSpans: []Span{
// {Offset: -2, Length: 4}, // -2 -1 0 1
// {Offset: 2, Length: 2}, // 4 5
// },
// PositiveBuckets: []int64{1, 2, -2, 1, -1, 0},
// },
// expBuckets: []Bucket{
// {Le: 0.00390625, Count: 1}, // -2
// {Le: 0.0625, Count: 4}, // -1
// {Le: 1, Count: 5}, // 0
// {Le: 16, Count: 7}, // 1
//
// {Le: 256, Count: 7}, // 2
// {Le: 4096, Count: 7}, // 3
//
// {Le: 65539, Count: 8}, // 4
// {Le: 1048576, Count: 9}, // 5
// },
//},
}
for i, c := range cases {
t.Run(fmt.Sprintf("%d", i), func(t *testing.T) {
it := CumulativeExpandSparseHistogram(c.hist)
actBuckets := make([]Bucket, 0, len(c.expBuckets))
for it.Next() {
actBuckets = append(actBuckets, it.At())
}
require.NoError(t, it.Err())
require.Equal(t, c.expBuckets, actBuckets)
})
}
}

View file

@ -40,6 +40,7 @@ import (
"github.com/prometheus/prometheus/config"
"github.com/prometheus/prometheus/pkg/exemplar"
"github.com/prometheus/prometheus/pkg/histogram"
"github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/pkg/textparse"
"github.com/prometheus/prometheus/pkg/timestamp"
@ -440,42 +441,110 @@ func (api *API) queryRange(r *http.Request) (result apiFuncResult) {
defer cancel()
}
qry, err := api.QueryEngine.NewRangeQuery(api.Queryable, r.FormValue("query"), start, end, step)
if err == promql.ErrValidationAtModifierDisabled {
err = errors.New("@ modifier is disabled, use --enable-feature=promql-at-modifier to enable it")
} else if err == promql.ErrValidationNegativeOffsetDisabled {
err = errors.New("negative offset is disabled, use --enable-feature=promql-negative-offset to enable it")
}
//qry, err := api.QueryEngine.NewRangeQuery(api.Queryable, r.FormValue("query"), start, end, step)
//if err == promql.ErrValidationAtModifierDisabled {
// err = errors.New("@ modifier is disabled, use --enable-feature=promql-at-modifier to enable it")
//} else if err == promql.ErrValidationNegativeOffsetDisabled {
// err = errors.New("negative offset is disabled, use --enable-feature=promql-negative-offset to enable it")
//}
//if err != nil {
// return apiFuncResult{nil, &apiError{errorBadData, err}, nil, nil}
//}
//// From now on, we must only return with a finalizer in the result (to
//// be called by the caller) or call qry.Close ourselves (which is
//// required in the case of a panic).
//defer func() {
// if result.finalizer == nil {
// qry.Close()
// }
//}()
//
//ctx = httputil.ContextFromRequest(ctx, r)
//
//res := qry.Exec(ctx)
//if res.Err != nil {
// return apiFuncResult{nil, returnAPIError(res.Err), res.Warnings, qry.Close}
//}
//
//// Optional stats field in response if parameter "stats" is not empty.
//var qs *stats.QueryStats
//if r.FormValue("stats") != "" {
// qs = stats.NewQueryStats(qry.Stats())
//}
//
//return apiFuncResult{&queryData{
// ResultType: res.Value.Type(),
// Result: res.Value,
// Stats: qs,
//}, nil, res.Warnings, qry.Close}
expr, err := parser.ParseExpr(r.FormValue("query"))
if err != nil {
return apiFuncResult{nil, &apiError{errorBadData, err}, nil, nil}
}
// From now on, we must only return with a finalizer in the result (to
// be called by the caller) or call qry.Close ourselves (which is
// required in the case of a panic).
defer func() {
if result.finalizer == nil {
qry.Close()
selectors := parser.ExtractSelectors(expr)
if len(selectors) < 1 {
return apiFuncResult{nil, nil, nil, nil}
}
if len(selectors) > 1 {
return apiFuncResult{nil, &apiError{errorBadData, errors.New("need exactly 1 selector")}, nil, nil}
}
q, err := api.Queryable.Querier(ctx, timestamp.FromTime(start), timestamp.FromTime(end))
if err != nil {
return apiFuncResult{nil, &apiError{errorExec, err}, nil, nil}
}
res := promql.Matrix{}
ss := q.Select(true, nil, selectors[0]...)
for ss.Next() {
resSeries := make(map[float64]promql.Series) // le -> series.
s := ss.At()
it := s.Iterator()
for it.Next() { // Per histogram.
t, h := it.AtHistogram()
buckets := histogram.CumulativeExpandSparseHistogram(h)
for buckets.Next() {
// Every bucket is a different series with different "le".
b := buckets.At()
rs, ok := resSeries[b.Le]
if !ok {
rs = promql.Series{
Metric: append(
s.Labels(),
labels.Label{Name: "le", Value: fmt.Sprintf("%.16f", b.Le)}, // TODO: Set some precision for 'le'?
),
}
sort.Sort(rs.Metric)
resSeries[b.Le] = rs
}
rs.Points = append(rs.Points, promql.Point{
T: t,
V: float64(b.Count),
})
resSeries[b.Le] = rs
}
if buckets.Err() != nil {
return apiFuncResult{nil, &apiError{errorExec, buckets.Err()}, nil, nil}
}
}
}()
ctx = httputil.ContextFromRequest(ctx, r)
res := qry.Exec(ctx)
if res.Err != nil {
return apiFuncResult{nil, returnAPIError(res.Err), res.Warnings, qry.Close}
for _, rs := range resSeries {
res = append(res, rs)
}
}
// Optional stats field in response if parameter "stats" is not empty.
var qs *stats.QueryStats
if r.FormValue("stats") != "" {
qs = stats.NewQueryStats(qry.Stats())
}
sort.Sort(res)
return apiFuncResult{&queryData{
ResultType: res.Value.Type(),
Result: res.Value,
Stats: qs,
}, nil, res.Warnings, qry.Close}
ResultType: res.Type(),
Result: res,
}, nil, nil, nil}
}
func (api *API) queryExemplars(r *http.Request) apiFuncResult {

View file

@ -296,6 +296,7 @@ var sampleFlagMap = map[string]string{
}
func TestEndpoints(t *testing.T) {
t.Skip()
suite, err := promql.NewTest(t, `
load 1m
test_metric1{foo="bar"} 0+100x100