2022-09-20 10:05:50 -07:00
// Copyright 2022 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 tsdb
import (
"context"
"fmt"
"math"
"sort"
"testing"
"time"
"github.com/stretchr/testify/require"
2023-07-08 05:45:56 -07:00
"golang.org/x/exp/slices"
2022-09-20 10:05:50 -07:00
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/tsdb/chunks"
"github.com/prometheus/prometheus/tsdb/tsdbutil"
2023-07-11 05:57:57 -07:00
"github.com/prometheus/prometheus/tsdb/wlog"
2022-09-20 10:05:50 -07:00
)
type chunkInterval struct {
// because we permutate the order of chunks, we cannot determine at test declaration time which chunkRefs we expect in the Output.
// This ID matches expected output chunks against test input chunks, the test runner will assert the chunkRef for the matching chunk
ID int
mint int64
maxt int64
}
// permutateChunkIntervals returns all possible orders of the given chunkIntervals
func permutateChunkIntervals ( in [ ] chunkInterval , out [ ] [ ] chunkInterval , left , right int ) [ ] [ ] chunkInterval {
if left == right {
inCopy := make ( [ ] chunkInterval , len ( in ) )
copy ( inCopy , in )
return append ( out , inCopy )
}
for i := left ; i <= right ; i ++ {
in [ left ] , in [ i ] = in [ i ] , in [ left ]
out = permutateChunkIntervals ( in , out , left + 1 , right )
in [ left ] , in [ i ] = in [ i ] , in [ left ]
}
return out
}
// TestOOOHeadIndexReader_Series tests that the Series method works as expected.
// However it does so by creating chunks and memory mapping them unlike other
// tests of the head where samples are appended and we let the head memory map.
// We do this because the ingestion path and the appender for out of order
// samples are not ready yet.
func TestOOOHeadIndexReader_Series ( t * testing . T ) {
tests := [ ] struct {
name string
queryMinT int64
queryMaxT int64
inputChunkIntervals [ ] chunkInterval
expChunks [ ] chunkInterval
} {
{
name : "Empty result and no error when head is empty" ,
queryMinT : 0 ,
queryMaxT : 100 ,
expChunks : nil ,
} ,
{
name : "If query interval is bigger than the existing chunks nothing is returned" ,
queryMinT : 500 ,
queryMaxT : 700 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 400 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [---------------------------------------]
// Chunk 0 [-----------------------------------------------------------]
expChunks : nil ,
} ,
{
name : "If query interval is smaller than the existing chunks nothing is returned" ,
queryMinT : 100 ,
queryMaxT : 400 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 500 , 700 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [-----------------------------------------------------------]
// Chunk 0: [---------------------------------------]
expChunks : nil ,
} ,
{
name : "If query interval exceeds the existing chunk, it is returned" ,
queryMinT : 100 ,
queryMaxT : 400 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 150 , 350 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [-----------------------------------------------------------]
// Chunk 0: [---------------------------------------]
expChunks : [ ] chunkInterval {
{ 0 , 150 , 350 } ,
} ,
} ,
{
name : "If chunk exceeds the query interval, it is returned" ,
queryMinT : 150 ,
queryMaxT : 350 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 400 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval: [---------------------------------------]
// Chunk 0: [-----------------------------------------------------------]
expChunks : [ ] chunkInterval {
{ 0 , 100 , 400 } ,
} ,
} ,
{
name : "Pairwise overlaps should return the references of the first of each pair" ,
queryMinT : 0 ,
queryMaxT : 700 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 200 } ,
{ 1 , 500 , 600 } ,
{ 2 , 150 , 250 } ,
{ 3 , 550 , 650 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [---------------------------------------------------------------------------------------------------------------------------------]
// Chunk 0: [-------------------]
// Chunk 1: [-------------------]
// Chunk 2: [-------------------]
// Chunk 3: [-------------------]
// Output Graphically [-----------------------------] [-----------------------------]
expChunks : [ ] chunkInterval {
{ 0 , 100 , 250 } ,
{ 1 , 500 , 650 } ,
} ,
} ,
{
name : "If all chunks overlap, single big chunk is returned" ,
queryMinT : 0 ,
queryMaxT : 700 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 200 } ,
{ 1 , 200 , 300 } ,
{ 2 , 300 , 400 } ,
{ 3 , 400 , 500 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [---------------------------------------------------------------------------------------------------------------------------------]
// Chunk 0: [-------------------]
// Chunk 1: [-------------------]
// Chunk 2: [-------------------]
// Chunk 3: [------------------]
// Output Graphically [------------------------------------------------------------------------------]
expChunks : [ ] chunkInterval {
{ 0 , 100 , 500 } ,
} ,
} ,
{
name : "If no chunks overlap, all chunks are returned" ,
queryMinT : 0 ,
queryMaxT : 700 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 199 } ,
{ 1 , 200 , 299 } ,
{ 2 , 300 , 399 } ,
{ 3 , 400 , 499 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [---------------------------------------------------------------------------------------------------------------------------------]
// Chunk 0: [------------------]
// Chunk 1: [------------------]
// Chunk 2: [------------------]
// Chunk 3: [------------------]
// Output Graphically [------------------][------------------][------------------][------------------]
expChunks : [ ] chunkInterval {
{ 0 , 100 , 199 } ,
{ 1 , 200 , 299 } ,
{ 2 , 300 , 399 } ,
{ 3 , 400 , 499 } ,
} ,
} ,
{
name : "Triplet with pairwise overlaps, query range covers all, and distractor extra chunk" ,
queryMinT : 0 ,
queryMaxT : 400 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 200 } ,
{ 1 , 150 , 300 } ,
{ 2 , 250 , 350 } ,
{ 3 , 450 , 550 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [--------------------------------------------------------------------]
// Chunk 0: [------------------]
// Chunk 1: [-----------------------------]
// Chunk 2: [------------------]
// Chunk 3: [------------------]
// Output Graphically [-----------------------------------------------]
expChunks : [ ] chunkInterval {
{ 0 , 100 , 350 } ,
} ,
} ,
{
name : "Query interval partially overlaps some chunks" ,
queryMinT : 100 ,
queryMaxT : 400 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 250 , 500 } ,
{ 1 , 0 , 200 } ,
{ 2 , 150 , 300 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
// Query Interval [------------------------------------------------------------]
// Chunk 0: [-------------------------------------------------]
// Chunk 1: [-----------------------------]
// Chunk 2: [------------------------------]
// Output Graphically [-----------------------------------------------------------------------------------------]
expChunks : [ ] chunkInterval {
{ 1 , 0 , 500 } ,
} ,
} ,
{
name : "A full overlap pair and disjointed triplet" ,
queryMinT : 0 ,
queryMaxT : 900 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 300 } ,
{ 1 , 770 , 850 } ,
{ 2 , 150 , 250 } ,
{ 3 , 650 , 750 } ,
{ 4 , 600 , 800 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850
// Query Interval [---------------------------------------------------------------------------------------------------------------------------------------------------------------]
// Chunk 0: [---------------------------------------]
// Chunk 1: [--------------]
// Chunk 2: [-------------------]
// Chunk 3: [-------------------]
// Chunk 4: [---------------------------------------]
// Output Graphically [---------------------------------------] [------------------------------------------------]
expChunks : [ ] chunkInterval {
{ 0 , 100 , 300 } ,
{ 4 , 600 , 850 } ,
} ,
} ,
{
name : "Query range covers 3 disjoint chunks" ,
queryMinT : 0 ,
queryMaxT : 650 ,
inputChunkIntervals : [ ] chunkInterval {
{ 0 , 100 , 150 } ,
{ 1 , 300 , 350 } ,
{ 2 , 200 , 250 } ,
} ,
// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850
// Query Interval [----------------------------------------------------------------------------------------------------------------------]
// Chunk 0: [-------]
// Chunk 1: [----------]
// Chunk 2: [--------]
// Output Graphically [-------] [--------] [----------]
expChunks : [ ] chunkInterval {
{ 0 , 100 , 150 } ,
{ 1 , 300 , 350 } ,
{ 2 , 200 , 250 } ,
} ,
} ,
}
s1Lset := labels . FromStrings ( "foo" , "bar" )
s1ID := uint64 ( 1 )
for _ , tc := range tests {
var permutations [ ] [ ] chunkInterval
if len ( tc . inputChunkIntervals ) == 0 {
// handle special case
permutations = [ ] [ ] chunkInterval {
nil ,
}
} else {
permutations = permutateChunkIntervals ( tc . inputChunkIntervals , nil , 0 , len ( tc . inputChunkIntervals ) - 1 )
}
for perm , intervals := range permutations {
for _ , headChunk := range [ ] bool { false , true } {
t . Run ( fmt . Sprintf ( "name=%s, permutation=%d, headChunk=%t" , tc . name , perm , headChunk ) , func ( t * testing . T ) {
2023-07-11 05:57:57 -07:00
h , _ := newTestHead ( t , 1000 , wlog . CompressionNone , true )
2022-09-20 10:05:50 -07:00
defer func ( ) {
require . NoError ( t , h . Close ( ) )
} ( )
require . NoError ( t , h . Init ( 0 ) )
s1 , _ , _ := h . getOrCreate ( s1ID , s1Lset )
2022-12-28 02:19:41 -08:00
s1 . ooo = & memSeriesOOOFields { }
2022-09-20 10:05:50 -07:00
var lastChunk chunkInterval
var lastChunkPos int
// the marker should be set based on whichever is the last chunk/interval that overlaps with the query range
for i , interv := range intervals {
if overlapsClosedInterval ( interv . mint , interv . maxt , tc . queryMinT , tc . queryMaxT ) {
lastChunk = interv
lastChunkPos = i
}
}
lastChunkRef := chunks . ChunkRef ( chunks . NewHeadChunkRef ( 1 , chunks . HeadChunkID ( uint64 ( lastChunkPos ) ) ) )
// define our expected chunks, by looking at the expected ChunkIntervals and setting...
var expChunks [ ] chunks . Meta
for _ , e := range tc . expChunks {
meta := chunks . Meta {
Chunk : chunkenc . Chunk ( nil ) ,
MinTime : e . mint ,
MaxTime : e . maxt ,
// markers based on the last chunk we found above
OOOLastMinTime : lastChunk . mint ,
OOOLastMaxTime : lastChunk . maxt ,
OOOLastRef : lastChunkRef ,
}
// Ref to whatever Ref the chunk has, that we refer to by ID
for ref , c := range intervals {
if c . ID == e . ID {
meta . Ref = chunks . ChunkRef ( chunks . NewHeadChunkRef ( chunks . HeadSeriesRef ( s1ID ) , chunks . HeadChunkID ( ref ) ) )
break
}
}
expChunks = append ( expChunks , meta )
}
2023-07-08 05:45:56 -07:00
slices . SortFunc ( expChunks , lessByMinTimeAndMinRef ) // We always want the chunks to come back sorted by minTime asc.
2022-09-20 10:05:50 -07:00
if headChunk && len ( intervals ) > 0 {
// Put the last interval in the head chunk
2022-12-28 02:19:41 -08:00
s1 . ooo . oooHeadChunk = & oooHeadChunk {
2022-09-20 10:05:50 -07:00
minTime : intervals [ len ( intervals ) - 1 ] . mint ,
maxTime : intervals [ len ( intervals ) - 1 ] . maxt ,
}
intervals = intervals [ : len ( intervals ) - 1 ]
}
for _ , ic := range intervals {
2022-12-28 02:19:41 -08:00
s1 . ooo . oooMmappedChunks = append ( s1 . ooo . oooMmappedChunks , & mmappedChunk {
2022-09-20 10:05:50 -07:00
minTime : ic . mint ,
maxTime : ic . maxt ,
} )
}
ir := NewOOOHeadIndexReader ( h , tc . queryMinT , tc . queryMaxT )
var chks [ ] chunks . Meta
2022-03-09 14:17:29 -08:00
var b labels . ScratchBuilder
2022-12-15 10:19:15 -08:00
err := ir . Series ( storage . SeriesRef ( s1ID ) , & b , & chks )
2022-09-20 10:05:50 -07:00
require . NoError ( t , err )
2022-12-15 10:19:15 -08:00
require . Equal ( t , s1Lset , b . Labels ( ) )
2022-09-20 10:05:50 -07:00
require . Equal ( t , expChunks , chks )
2022-12-15 10:19:15 -08:00
err = ir . Series ( storage . SeriesRef ( s1ID + 1 ) , & b , & chks )
2022-09-20 10:05:50 -07:00
require . Equal ( t , storage . ErrNotFound , err )
} )
}
}
}
}
func TestOOOHeadChunkReader_LabelValues ( t * testing . T ) {
chunkRange := int64 ( 2000 )
2023-07-11 05:57:57 -07:00
head , _ := newTestHead ( t , chunkRange , wlog . CompressionNone , true )
2022-09-20 10:05:50 -07:00
t . Cleanup ( func ( ) { require . NoError ( t , head . Close ( ) ) } )
app := head . Appender ( context . Background ( ) )
// Add in-order samples
2022-06-29 09:10:14 -07:00
_ , err := app . Append ( 0 , labels . FromStrings ( "foo" , "bar1" ) , 100 , 1 )
2022-09-20 10:05:50 -07:00
require . NoError ( t , err )
2022-06-29 09:10:14 -07:00
_ , err = app . Append ( 0 , labels . FromStrings ( "foo" , "bar2" ) , 100 , 2 )
2022-09-20 10:05:50 -07:00
require . NoError ( t , err )
// Add ooo samples for those series
2022-06-29 09:10:14 -07:00
_ , err = app . Append ( 0 , labels . FromStrings ( "foo" , "bar1" ) , 90 , 1 )
2022-09-20 10:05:50 -07:00
require . NoError ( t , err )
2022-06-29 09:10:14 -07:00
_ , err = app . Append ( 0 , labels . FromStrings ( "foo" , "bar2" ) , 90 , 2 )
2022-09-20 10:05:50 -07:00
require . NoError ( t , err )
require . NoError ( t , app . Commit ( ) )
cases := [ ] struct {
name string
queryMinT int64
queryMaxT int64
expValues1 [ ] string
expValues2 [ ] string
expValues3 [ ] string
expValues4 [ ] string
} {
{
name : "LabelValues calls when ooo head has max query range" ,
queryMinT : math . MinInt64 ,
queryMaxT : math . MaxInt64 ,
expValues1 : [ ] string { "bar1" } ,
expValues2 : [ ] string { } ,
expValues3 : [ ] string { "bar1" , "bar2" } ,
expValues4 : [ ] string { "bar1" , "bar2" } ,
} ,
{
name : "LabelValues calls with ooo head query range not overlapping in-order data" ,
queryMinT : 90 ,
queryMaxT : 90 ,
expValues1 : [ ] string { "bar1" } ,
expValues2 : [ ] string { } ,
expValues3 : [ ] string { "bar1" , "bar2" } ,
expValues4 : [ ] string { "bar1" , "bar2" } ,
} ,
{
name : "LabelValues calls with ooo head query range not overlapping out-of-order data" ,
queryMinT : 100 ,
queryMaxT : 100 ,
expValues1 : [ ] string { } ,
expValues2 : [ ] string { } ,
expValues3 : [ ] string { } ,
expValues4 : [ ] string { } ,
} ,
}
for _ , tc := range cases {
t . Run ( tc . name , func ( t * testing . T ) {
// We first want to test using a head index reader that covers the biggest query interval
oh := NewOOOHeadIndexReader ( head , tc . queryMinT , tc . queryMaxT )
matchers := [ ] * labels . Matcher { labels . MustNewMatcher ( labels . MatchEqual , "foo" , "bar1" ) }
values , err := oh . LabelValues ( "foo" , matchers ... )
sort . Strings ( values )
require . NoError ( t , err )
require . Equal ( t , tc . expValues1 , values )
matchers = [ ] * labels . Matcher { labels . MustNewMatcher ( labels . MatchNotRegexp , "foo" , "^bar." ) }
values , err = oh . LabelValues ( "foo" , matchers ... )
sort . Strings ( values )
require . NoError ( t , err )
require . Equal ( t , tc . expValues2 , values )
matchers = [ ] * labels . Matcher { labels . MustNewMatcher ( labels . MatchRegexp , "foo" , "bar." ) }
values , err = oh . LabelValues ( "foo" , matchers ... )
sort . Strings ( values )
require . NoError ( t , err )
require . Equal ( t , tc . expValues3 , values )
values , err = oh . LabelValues ( "foo" )
sort . Strings ( values )
require . NoError ( t , err )
require . Equal ( t , tc . expValues4 , values )
} )
}
}
// TestOOOHeadChunkReader_Chunk tests that the Chunk method works as expected.
// It does so by appending out of order samples to the db and then initializing
// an OOOHeadChunkReader to read chunks from it.
func TestOOOHeadChunkReader_Chunk ( t * testing . T ) {
opts := DefaultOptions ( )
opts . OutOfOrderCapMax = 5
opts . OutOfOrderTimeWindow = 120 * time . Minute . Milliseconds ( )
s1 := labels . FromStrings ( "l" , "v1" )
minutes := func ( m int64 ) int64 { return m * time . Minute . Milliseconds ( ) }
appendSample := func ( app storage . Appender , l labels . Labels , timestamp int64 , value float64 ) storage . SeriesRef {
ref , err := app . Append ( 0 , l , timestamp , value )
require . NoError ( t , err )
return ref
}
t . Run ( "Getting a non existing chunk fails with not found error" , func ( t * testing . T ) {
db := newTestDBWithOpts ( t , opts )
cr := NewOOOHeadChunkReader ( db . head , 0 , 1000 )
c , err := cr . Chunk ( chunks . Meta {
Ref : 0x1000000 , Chunk : chunkenc . Chunk ( nil ) , MinTime : 100 , MaxTime : 300 ,
} )
require . Equal ( t , err , fmt . Errorf ( "not found" ) )
require . Equal ( t , c , nil )
} )
tests := [ ] struct {
name string
queryMinT int64
queryMaxT int64
firstInOrderSampleAt int64
inputSamples tsdbutil . SampleSlice
expChunkError bool
expChunksSamples [ ] tsdbutil . SampleSlice
} {
{
name : "Getting the head when there are no overlapping chunks returns just the samples in the head" ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
inputSamples : tsdbutil . SampleSlice {
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 40 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [------------------------------------------------------------------------------------------]
// Chunk 0: Current Head [--------] (With 2 samples)
// Output Graphically [--------] (With 2 samples)
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 40 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
{
name : "Getting the head chunk when there are overlapping chunks returns all combined" ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
inputSamples : tsdbutil . SampleSlice {
// opts.OOOCapMax is 5 so these will be mmapped to the first mmapped chunk
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 41 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 43 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 44 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 45 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// The following samples will go to the head chunk, and we want it
// to overlap with the previous chunk
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [------------------------------------------------------------------------------------------]
// Chunk 0 [---] (With 5 samples)
// Chunk 1: Current Head [-----------------] (With 2 samples)
// Output Graphically [-----------------] (With 7 samples)
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 41 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 43 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 44 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 45 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
{
name : "Two windows of overlapping chunks get properly converged" ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
inputSamples : tsdbutil . SampleSlice {
// Chunk 0
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 12 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 14 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 16 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 29 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 2
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 34 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 36 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 40 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
// Head
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 40 ) , f : float64 ( 3 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 3 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [------------------------------------------------------------------------------------------]
// Chunk 0 [--------]
// Chunk 1 [-------]
// Chunk 2 [--------]
// Chunk 3: Current Head [--------]
// Output Graphically [----------------][-----------------]
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 12 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 14 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 16 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 29 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 34 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 36 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 40 ) , f : float64 ( 3 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 3 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
{
name : "Two windows of overlapping chunks in descending order get properly converged" ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
inputSamples : tsdbutil . SampleSlice {
// Chunk 0
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 40 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 44 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 46 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 34 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 36 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 40 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 2
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 29 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
// Head
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 3 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 3 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [------------------------------------------------------------------------------------------]
// Chunk 0 [--------]
// Chunk 1 [--------]
// Chunk 2 [-------]
// Chunk 3: Current Head [--------]
// Output Graphically [----------------][-----------------]
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 3 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 29 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
} ,
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 34 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 36 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 40 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 44 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 46 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
{
name : "If chunks are not overlapped they are not converged" ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
inputSamples : tsdbutil . SampleSlice {
// Chunk 0
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 12 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 14 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 16 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 18 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 28 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 2
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 34 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 36 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 38 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
// Head
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 40 ) , f : float64 ( 3 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 3 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [------------------------------------------------------------------------------------------]
// Chunk 0 [-------]
// Chunk 1 [-------]
// Chunk 2 [-------]
// Chunk 3: Current Head [-------]
// Output Graphically [-------][-------][-------][--------]
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 12 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 14 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 16 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 18 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
} ,
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 28 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 30 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 34 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 36 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 38 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
} ,
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 40 ) , f : float64 ( 3 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 3 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
{
name : "Triplet of chunks overlapping returns a single merged chunk" ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
inputSamples : tsdbutil . SampleSlice {
// Chunk 0
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 15 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 2 Head
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [------------------------------------------------------------------------------------------]
// Chunk 0 [-----------------]
// Chunk 1 [--------------------]
// Chunk 2 Current Head [--------------]
// Output Graphically [-----------------------------------]
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 15 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
{
name : "Query interval partially overlaps with a triplet of chunks but still returns a single merged chunk" ,
queryMinT : minutes ( 12 ) ,
queryMaxT : minutes ( 33 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
inputSamples : tsdbutil . SampleSlice {
// Chunk 0
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 15 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 2 Head
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [------------------]
// Chunk 0 [-----------------]
// Chunk 1 [--------------------]
// Chunk 2 Current Head [--------------]
// Output Graphically [-----------------------------------]
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 15 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 20 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 42 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
}
for _ , tc := range tests {
t . Run ( fmt . Sprintf ( "name=%s" , tc . name ) , func ( t * testing . T ) {
db := newTestDBWithOpts ( t , opts )
app := db . Appender ( context . Background ( ) )
s1Ref := appendSample ( app , s1 , tc . firstInOrderSampleAt , float64 ( tc . firstInOrderSampleAt / 1 * time . Minute . Milliseconds ( ) ) )
require . NoError ( t , app . Commit ( ) )
// OOO few samples for s1.
app = db . Appender ( context . Background ( ) )
for _ , s := range tc . inputSamples {
2023-03-30 10:50:13 -07:00
appendSample ( app , s1 , s . T ( ) , s . F ( ) )
2022-09-20 10:05:50 -07:00
}
require . NoError ( t , app . Commit ( ) )
// The Series method is the one that populates the chunk meta OOO
// markers like OOOLastRef. These are then used by the ChunkReader.
ir := NewOOOHeadIndexReader ( db . head , tc . queryMinT , tc . queryMaxT )
var chks [ ] chunks . Meta
2022-03-09 14:17:29 -08:00
var b labels . ScratchBuilder
2022-12-15 10:19:15 -08:00
err := ir . Series ( s1Ref , & b , & chks )
2022-09-20 10:05:50 -07:00
require . NoError ( t , err )
require . Equal ( t , len ( tc . expChunksSamples ) , len ( chks ) )
cr := NewOOOHeadChunkReader ( db . head , tc . queryMinT , tc . queryMaxT )
for i := 0 ; i < len ( chks ) ; i ++ {
c , err := cr . Chunk ( chks [ i ] )
require . NoError ( t , err )
var resultSamples tsdbutil . SampleSlice
it := c . Iterator ( nil )
2022-10-11 09:35:35 -07:00
for it . Next ( ) == chunkenc . ValFloat {
2022-09-20 10:05:50 -07:00
t , v := it . At ( )
2023-03-30 10:50:13 -07:00
resultSamples = append ( resultSamples , sample { t : t , f : v } )
2022-09-20 10:05:50 -07:00
}
require . Equal ( t , tc . expChunksSamples [ i ] , resultSamples )
}
} )
}
}
// TestOOOHeadChunkReader_Chunk_ConsistentQueryResponseDespiteOfHeadExpanding tests
// that if a query comes and performs a Series() call followed by a Chunks() call
// the response is consistent with the data seen by Series() even if the OOO
// head receives more samples before Chunks() is called.
// An example:
// - Response A comes from: Series() then Chunk()
// - Response B comes from : Series(), in parallel new samples added to the head, then Chunk()
// - A == B
func TestOOOHeadChunkReader_Chunk_ConsistentQueryResponseDespiteOfHeadExpanding ( t * testing . T ) {
opts := DefaultOptions ( )
opts . OutOfOrderCapMax = 5
opts . OutOfOrderTimeWindow = 120 * time . Minute . Milliseconds ( )
s1 := labels . FromStrings ( "l" , "v1" )
minutes := func ( m int64 ) int64 { return m * time . Minute . Milliseconds ( ) }
appendSample := func ( app storage . Appender , l labels . Labels , timestamp int64 , value float64 ) storage . SeriesRef {
ref , err := app . Append ( 0 , l , timestamp , value )
require . NoError ( t , err )
return ref
}
tests := [ ] struct {
name string
queryMinT int64
queryMaxT int64
firstInOrderSampleAt int64
initialSamples tsdbutil . SampleSlice
samplesAfterSeriesCall tsdbutil . SampleSlice
expChunkError bool
expChunksSamples [ ] tsdbutil . SampleSlice
} {
{
name : "Current head gets old, new and in between sample after Series call, they all should be omitted from the result" ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
initialSamples : tsdbutil . SampleSlice {
// Chunk 0
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1 Head
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
samplesAfterSeriesCall : tsdbutil . SampleSlice {
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [-----------------------------------]
// Chunk 0: [--------] (5 samples)
// Chunk 1: Current Head [-------] (2 samples)
// New samples added after Series()
// Chunk 1: Current Head [-----------------------------------] (5 samples)
// Output Graphically [------------] (With 8 samples, samples newer than lastmint or older than lastmaxt are omitted but the ones in between are kept)
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 1 ) } , // This sample was added after Series() but before Chunk() and its in between the lastmint and maxt so it should be kept
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
{
name : "After Series() previous head gets mmapped after getting samples, new head gets new samples also overlapping, none of these should appear in the response." ,
queryMinT : minutes ( 0 ) ,
queryMaxT : minutes ( 100 ) ,
firstInOrderSampleAt : minutes ( 120 ) ,
initialSamples : tsdbutil . SampleSlice {
// Chunk 0
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1 Head
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
samplesAfterSeriesCall : tsdbutil . SampleSlice {
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 10 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 50 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
// Chunk 1 gets mmapped and Chunk 2, the new head is born
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 25 ) , f : float64 ( 2 ) } ,
sample { t : minutes ( 31 ) , f : float64 ( 2 ) } ,
2022-09-20 10:05:50 -07:00
} ,
expChunkError : false ,
// ts (in minutes) 0 10 20 30 40 50 60 70 80 90 100
// Query Interval [-----------------------------------]
// Chunk 0: [--------] (5 samples)
// Chunk 1: Current Head [-------] (2 samples)
// New samples added after Series()
// Chunk 1 (mmapped) [-------------------------] (5 samples)
// Chunk 2: Current Head [-----------] (2 samples)
// Output Graphically [------------] (8 samples) It has 5 from Chunk 0 and 3 from Chunk 1
expChunksSamples : [ ] tsdbutil . SampleSlice {
{
2023-03-30 10:50:13 -07:00
sample { t : minutes ( 20 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 22 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 24 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 25 ) , f : float64 ( 1 ) } ,
sample { t : minutes ( 26 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 30 ) , f : float64 ( 0 ) } ,
sample { t : minutes ( 32 ) , f : float64 ( 1 ) } , // This sample was added after Series() but before Chunk() and its in between the lastmint and maxt so it should be kept
sample { t : minutes ( 35 ) , f : float64 ( 1 ) } ,
2022-09-20 10:05:50 -07:00
} ,
} ,
} ,
}
for _ , tc := range tests {
t . Run ( fmt . Sprintf ( "name=%s" , tc . name ) , func ( t * testing . T ) {
db := newTestDBWithOpts ( t , opts )
app := db . Appender ( context . Background ( ) )
s1Ref := appendSample ( app , s1 , tc . firstInOrderSampleAt , float64 ( tc . firstInOrderSampleAt / 1 * time . Minute . Milliseconds ( ) ) )
require . NoError ( t , app . Commit ( ) )
// OOO few samples for s1.
app = db . Appender ( context . Background ( ) )
for _ , s := range tc . initialSamples {
2023-03-30 10:50:13 -07:00
appendSample ( app , s1 , s . T ( ) , s . F ( ) )
2022-09-20 10:05:50 -07:00
}
require . NoError ( t , app . Commit ( ) )
// The Series method is the one that populates the chunk meta OOO
// markers like OOOLastRef. These are then used by the ChunkReader.
ir := NewOOOHeadIndexReader ( db . head , tc . queryMinT , tc . queryMaxT )
var chks [ ] chunks . Meta
2022-03-09 14:17:29 -08:00
var b labels . ScratchBuilder
2022-12-15 10:19:15 -08:00
err := ir . Series ( s1Ref , & b , & chks )
2022-09-20 10:05:50 -07:00
require . NoError ( t , err )
require . Equal ( t , len ( tc . expChunksSamples ) , len ( chks ) )
// Now we keep receiving ooo samples
// OOO few samples for s1.
app = db . Appender ( context . Background ( ) )
for _ , s := range tc . samplesAfterSeriesCall {
2023-03-30 10:50:13 -07:00
appendSample ( app , s1 , s . T ( ) , s . F ( ) )
2022-09-20 10:05:50 -07:00
}
require . NoError ( t , app . Commit ( ) )
cr := NewOOOHeadChunkReader ( db . head , tc . queryMinT , tc . queryMaxT )
for i := 0 ; i < len ( chks ) ; i ++ {
c , err := cr . Chunk ( chks [ i ] )
require . NoError ( t , err )
var resultSamples tsdbutil . SampleSlice
it := c . Iterator ( nil )
2022-10-11 09:35:35 -07:00
for it . Next ( ) == chunkenc . ValFloat {
2022-09-20 10:05:50 -07:00
ts , v := it . At ( )
2023-03-30 10:50:13 -07:00
resultSamples = append ( resultSamples , sample { t : ts , f : v } )
2022-09-20 10:05:50 -07:00
}
require . Equal ( t , tc . expChunksSamples [ i ] , resultSamples )
}
} )
}
}
// TestSortByMinTimeAndMinRef tests that the sort function for chunk metas does sort
// by chunk meta MinTime and in case of same references by the lower reference.
func TestSortByMinTimeAndMinRef ( t * testing . T ) {
tests := [ ] struct {
name string
input [ ] chunkMetaAndChunkDiskMapperRef
exp [ ] chunkMetaAndChunkDiskMapperRef
} {
{
name : "chunks are ordered by min time" ,
input : [ ] chunkMetaAndChunkDiskMapperRef {
{
meta : chunks . Meta {
Ref : 0 ,
MinTime : 0 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 0 ) ,
} ,
{
meta : chunks . Meta {
Ref : 1 ,
MinTime : 1 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 1 ) ,
} ,
} ,
exp : [ ] chunkMetaAndChunkDiskMapperRef {
{
meta : chunks . Meta {
Ref : 0 ,
MinTime : 0 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 0 ) ,
} ,
{
meta : chunks . Meta {
Ref : 1 ,
MinTime : 1 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 1 ) ,
} ,
} ,
} ,
{
name : "if same mintime, lower reference goes first" ,
input : [ ] chunkMetaAndChunkDiskMapperRef {
{
meta : chunks . Meta {
Ref : 10 ,
MinTime : 0 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 0 ) ,
} ,
{
meta : chunks . Meta {
Ref : 5 ,
MinTime : 0 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 1 ) ,
} ,
} ,
exp : [ ] chunkMetaAndChunkDiskMapperRef {
{
meta : chunks . Meta {
Ref : 5 ,
MinTime : 0 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 1 ) ,
} ,
{
meta : chunks . Meta {
Ref : 10 ,
MinTime : 0 ,
} ,
ref : chunks . ChunkDiskMapperRef ( 0 ) ,
} ,
} ,
} ,
}
for _ , tc := range tests {
t . Run ( fmt . Sprintf ( "name=%s" , tc . name ) , func ( t * testing . T ) {
2023-07-08 05:45:56 -07:00
slices . SortFunc ( tc . input , refLessByMinTimeAndMinRef )
2022-09-20 10:05:50 -07:00
require . Equal ( t , tc . exp , tc . input )
} )
}
}
// TestSortMetaByMinTimeAndMinRef tests that the sort function for chunk metas does sort
// by chunk meta MinTime and in case of same references by the lower reference.
func TestSortMetaByMinTimeAndMinRef ( t * testing . T ) {
tests := [ ] struct {
name string
inputMetas [ ] chunks . Meta
expMetas [ ] chunks . Meta
} {
{
name : "chunks are ordered by min time" ,
inputMetas : [ ] chunks . Meta {
{
Ref : 0 ,
MinTime : 0 ,
} ,
{
Ref : 1 ,
MinTime : 1 ,
} ,
} ,
expMetas : [ ] chunks . Meta {
{
Ref : 0 ,
MinTime : 0 ,
} ,
{
Ref : 1 ,
MinTime : 1 ,
} ,
} ,
} ,
{
name : "if same mintime, lower reference goes first" ,
inputMetas : [ ] chunks . Meta {
{
Ref : 10 ,
MinTime : 0 ,
} ,
{
Ref : 5 ,
MinTime : 0 ,
} ,
} ,
expMetas : [ ] chunks . Meta {
{
Ref : 5 ,
MinTime : 0 ,
} ,
{
Ref : 10 ,
MinTime : 0 ,
} ,
} ,
} ,
}
for _ , tc := range tests {
t . Run ( fmt . Sprintf ( "name=%s" , tc . name ) , func ( t * testing . T ) {
2023-07-08 05:45:56 -07:00
slices . SortFunc ( tc . inputMetas , lessByMinTimeAndMinRef )
2022-09-20 10:05:50 -07:00
require . Equal ( t , tc . expMetas , tc . inputMetas )
} )
}
}
func newTestDBWithOpts ( t * testing . T , opts * Options ) * DB {
dir := t . TempDir ( )
db , err := Open ( dir , nil , nil , opts , nil )
require . NoError ( t , err )
t . Cleanup ( func ( ) {
require . NoError ( t , db . Close ( ) )
} )
return db
}