mirror of
https://github.com/prometheus/prometheus.git
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1203 lines
44 KiB
Go
1203 lines
44 KiB
Go
// Copyright 2022 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package tsdb
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import (
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"context"
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"fmt"
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"math"
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"sort"
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"testing"
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"time"
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"github.com/stretchr/testify/require"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/chunks"
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"github.com/prometheus/prometheus/tsdb/tsdbutil"
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)
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type chunkInterval struct {
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// because we permutate the order of chunks, we cannot determine at test declaration time which chunkRefs we expect in the Output.
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// This ID matches expected output chunks against test input chunks, the test runner will assert the chunkRef for the matching chunk
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ID int
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mint int64
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maxt int64
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}
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// permutateChunkIntervals returns all possible orders of the given chunkIntervals
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func permutateChunkIntervals(in []chunkInterval, out [][]chunkInterval, left, right int) [][]chunkInterval {
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if left == right {
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inCopy := make([]chunkInterval, len(in))
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copy(inCopy, in)
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return append(out, inCopy)
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}
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for i := left; i <= right; i++ {
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in[left], in[i] = in[i], in[left]
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out = permutateChunkIntervals(in, out, left+1, right)
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in[left], in[i] = in[i], in[left]
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}
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return out
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}
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// TestOOOHeadIndexReader_Series tests that the Series method works as expected.
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// However it does so by creating chunks and memory mapping them unlike other
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// tests of the head where samples are appended and we let the head memory map.
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// We do this because the ingestion path and the appender for out of order
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// samples are not ready yet.
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func TestOOOHeadIndexReader_Series(t *testing.T) {
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tests := []struct {
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name string
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queryMinT int64
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queryMaxT int64
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inputChunkIntervals []chunkInterval
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expChunks []chunkInterval
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}{
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{
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name: "Empty result and no error when head is empty",
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queryMinT: 0,
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queryMaxT: 100,
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expChunks: nil,
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},
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{
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name: "If query interval is bigger than the existing chunks nothing is returned",
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queryMinT: 500,
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queryMaxT: 700,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 400},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [---------------------------------------]
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// Chunk 0 [-----------------------------------------------------------]
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expChunks: nil,
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},
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{
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name: "If query interval is smaller than the existing chunks nothing is returned",
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queryMinT: 100,
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queryMaxT: 400,
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inputChunkIntervals: []chunkInterval{
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{0, 500, 700},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [-----------------------------------------------------------]
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// Chunk 0: [---------------------------------------]
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expChunks: nil,
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},
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{
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name: "If query interval exceeds the existing chunk, it is returned",
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queryMinT: 100,
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queryMaxT: 400,
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inputChunkIntervals: []chunkInterval{
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{0, 150, 350},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [-----------------------------------------------------------]
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// Chunk 0: [---------------------------------------]
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expChunks: []chunkInterval{
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{0, 150, 350},
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},
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},
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{
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name: "If chunk exceeds the query interval, it is returned",
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queryMinT: 150,
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queryMaxT: 350,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 400},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval: [---------------------------------------]
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// Chunk 0: [-----------------------------------------------------------]
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expChunks: []chunkInterval{
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{0, 100, 400},
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},
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},
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{
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name: "Pairwise overlaps should return the references of the first of each pair",
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queryMinT: 0,
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queryMaxT: 700,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 200},
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{1, 500, 600},
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{2, 150, 250},
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{3, 550, 650},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [---------------------------------------------------------------------------------------------------------------------------------]
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// Chunk 0: [-------------------]
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// Chunk 1: [-------------------]
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// Chunk 2: [-------------------]
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// Chunk 3: [-------------------]
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// Output Graphically [-----------------------------] [-----------------------------]
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expChunks: []chunkInterval{
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{0, 100, 250},
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{1, 500, 650},
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},
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},
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{
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name: "If all chunks overlap, single big chunk is returned",
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queryMinT: 0,
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queryMaxT: 700,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 200},
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{1, 200, 300},
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{2, 300, 400},
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{3, 400, 500},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [---------------------------------------------------------------------------------------------------------------------------------]
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// Chunk 0: [-------------------]
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// Chunk 1: [-------------------]
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// Chunk 2: [-------------------]
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// Chunk 3: [------------------]
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// Output Graphically [------------------------------------------------------------------------------]
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expChunks: []chunkInterval{
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{0, 100, 500},
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},
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},
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{
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name: "If no chunks overlap, all chunks are returned",
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queryMinT: 0,
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queryMaxT: 700,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 199},
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{1, 200, 299},
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{2, 300, 399},
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{3, 400, 499},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [---------------------------------------------------------------------------------------------------------------------------------]
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// Chunk 0: [------------------]
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// Chunk 1: [------------------]
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// Chunk 2: [------------------]
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// Chunk 3: [------------------]
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// Output Graphically [------------------][------------------][------------------][------------------]
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expChunks: []chunkInterval{
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{0, 100, 199},
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{1, 200, 299},
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{2, 300, 399},
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{3, 400, 499},
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},
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},
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{
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name: "Triplet with pairwise overlaps, query range covers all, and distractor extra chunk",
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queryMinT: 0,
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queryMaxT: 400,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 200},
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{1, 150, 300},
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{2, 250, 350},
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{3, 450, 550},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [--------------------------------------------------------------------]
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// Chunk 0: [------------------]
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// Chunk 1: [-----------------------------]
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// Chunk 2: [------------------]
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// Chunk 3: [------------------]
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// Output Graphically [-----------------------------------------------]
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expChunks: []chunkInterval{
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{0, 100, 350},
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},
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},
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{
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name: "Query interval partially overlaps some chunks",
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queryMinT: 100,
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queryMaxT: 400,
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inputChunkIntervals: []chunkInterval{
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{0, 250, 500},
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{1, 0, 200},
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{2, 150, 300},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700
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// Query Interval [------------------------------------------------------------]
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// Chunk 0: [-------------------------------------------------]
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// Chunk 1: [-----------------------------]
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// Chunk 2: [------------------------------]
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// Output Graphically [-----------------------------------------------------------------------------------------]
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expChunks: []chunkInterval{
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{1, 0, 500},
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},
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},
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{
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name: "A full overlap pair and disjointed triplet",
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queryMinT: 0,
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queryMaxT: 900,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 300},
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{1, 770, 850},
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{2, 150, 250},
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{3, 650, 750},
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{4, 600, 800},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850
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// Query Interval [---------------------------------------------------------------------------------------------------------------------------------------------------------------]
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// Chunk 0: [---------------------------------------]
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// Chunk 1: [--------------]
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// Chunk 2: [-------------------]
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// Chunk 3: [-------------------]
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// Chunk 4: [---------------------------------------]
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// Output Graphically [---------------------------------------] [------------------------------------------------]
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expChunks: []chunkInterval{
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{0, 100, 300},
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{4, 600, 850},
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},
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},
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{
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name: "Query range covers 3 disjoint chunks",
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queryMinT: 0,
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queryMaxT: 650,
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inputChunkIntervals: []chunkInterval{
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{0, 100, 150},
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{1, 300, 350},
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{2, 200, 250},
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},
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// ts 0 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850
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// Query Interval [----------------------------------------------------------------------------------------------------------------------]
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// Chunk 0: [-------]
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// Chunk 1: [----------]
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// Chunk 2: [--------]
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// Output Graphically [-------] [--------] [----------]
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expChunks: []chunkInterval{
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{0, 100, 150},
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{1, 300, 350},
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{2, 200, 250},
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},
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},
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}
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s1Lset := labels.FromStrings("foo", "bar")
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s1ID := uint64(1)
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for _, tc := range tests {
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var permutations [][]chunkInterval
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if len(tc.inputChunkIntervals) == 0 {
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// handle special case
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permutations = [][]chunkInterval{
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nil,
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}
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} else {
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permutations = permutateChunkIntervals(tc.inputChunkIntervals, nil, 0, len(tc.inputChunkIntervals)-1)
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}
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for perm, intervals := range permutations {
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for _, headChunk := range []bool{false, true} {
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t.Run(fmt.Sprintf("name=%s, permutation=%d, headChunk=%t", tc.name, perm, headChunk), func(t *testing.T) {
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h, _ := newTestHead(t, 1000, false, true)
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defer func() {
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require.NoError(t, h.Close())
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}()
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require.NoError(t, h.Init(0))
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s1, _, _ := h.getOrCreate(s1ID, s1Lset)
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var lastChunk chunkInterval
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var lastChunkPos int
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// the marker should be set based on whichever is the last chunk/interval that overlaps with the query range
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for i, interv := range intervals {
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if overlapsClosedInterval(interv.mint, interv.maxt, tc.queryMinT, tc.queryMaxT) {
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lastChunk = interv
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lastChunkPos = i
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}
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}
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lastChunkRef := chunks.ChunkRef(chunks.NewHeadChunkRef(1, chunks.HeadChunkID(uint64(lastChunkPos))))
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// define our expected chunks, by looking at the expected ChunkIntervals and setting...
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var expChunks []chunks.Meta
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for _, e := range tc.expChunks {
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meta := chunks.Meta{
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Chunk: chunkenc.Chunk(nil),
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MinTime: e.mint,
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MaxTime: e.maxt,
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// markers based on the last chunk we found above
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OOOLastMinTime: lastChunk.mint,
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OOOLastMaxTime: lastChunk.maxt,
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OOOLastRef: lastChunkRef,
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}
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// Ref to whatever Ref the chunk has, that we refer to by ID
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for ref, c := range intervals {
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if c.ID == e.ID {
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meta.Ref = chunks.ChunkRef(chunks.NewHeadChunkRef(chunks.HeadSeriesRef(s1ID), chunks.HeadChunkID(ref)))
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break
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}
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}
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expChunks = append(expChunks, meta)
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}
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sort.Sort(metaByMinTimeAndMinRef(expChunks)) // we always want the chunks to come back sorted by minTime asc
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if headChunk && len(intervals) > 0 {
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// Put the last interval in the head chunk
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s1.oooHeadChunk = &oooHeadChunk{
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minTime: intervals[len(intervals)-1].mint,
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maxTime: intervals[len(intervals)-1].maxt,
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}
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intervals = intervals[:len(intervals)-1]
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}
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for _, ic := range intervals {
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s1.oooMmappedChunks = append(s1.oooMmappedChunks, &mmappedChunk{
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minTime: ic.mint,
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maxTime: ic.maxt,
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})
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}
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ir := NewOOOHeadIndexReader(h, tc.queryMinT, tc.queryMaxT)
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var chks []chunks.Meta
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var respLset labels.Labels
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var b labels.ScratchBuilder
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err := ir.Series(storage.SeriesRef(s1ID), &b, &respLset, &chks)
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require.NoError(t, err)
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require.Equal(t, s1Lset, respLset)
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require.Equal(t, expChunks, chks)
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err = ir.Series(storage.SeriesRef(s1ID+1), &b, &respLset, &chks)
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require.Equal(t, storage.ErrNotFound, err)
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})
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}
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}
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}
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}
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func TestOOOHeadChunkReader_LabelValues(t *testing.T) {
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chunkRange := int64(2000)
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head, _ := newTestHead(t, chunkRange, false, true)
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t.Cleanup(func() { require.NoError(t, head.Close()) })
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app := head.Appender(context.Background())
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// Add in-order samples
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_, err := app.Append(0, labels.FromStrings("foo", "bar1"), 100, 1)
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require.NoError(t, err)
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_, err = app.Append(0, labels.FromStrings("foo", "bar2"), 100, 2)
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require.NoError(t, err)
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// Add ooo samples for those series
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_, err = app.Append(0, labels.FromStrings("foo", "bar1"), 90, 1)
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require.NoError(t, err)
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_, err = app.Append(0, labels.FromStrings("foo", "bar2"), 90, 2)
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require.NoError(t, err)
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require.NoError(t, app.Commit())
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cases := []struct {
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name string
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queryMinT int64
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queryMaxT int64
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expValues1 []string
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expValues2 []string
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expValues3 []string
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expValues4 []string
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}{
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{
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name: "LabelValues calls when ooo head has max query range",
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queryMinT: math.MinInt64,
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queryMaxT: math.MaxInt64,
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expValues1: []string{"bar1"},
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expValues2: []string{},
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expValues3: []string{"bar1", "bar2"},
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expValues4: []string{"bar1", "bar2"},
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},
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{
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name: "LabelValues calls with ooo head query range not overlapping in-order data",
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queryMinT: 90,
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queryMaxT: 90,
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expValues1: []string{"bar1"},
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expValues2: []string{},
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expValues3: []string{"bar1", "bar2"},
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expValues4: []string{"bar1", "bar2"},
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},
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{
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name: "LabelValues calls with ooo head query range not overlapping out-of-order data",
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queryMinT: 100,
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queryMaxT: 100,
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expValues1: []string{},
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expValues2: []string{},
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expValues3: []string{},
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expValues4: []string{},
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},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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// We first want to test using a head index reader that covers the biggest query interval
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oh := NewOOOHeadIndexReader(head, tc.queryMinT, tc.queryMaxT)
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matchers := []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "foo", "bar1")}
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values, err := oh.LabelValues("foo", matchers...)
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sort.Strings(values)
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require.NoError(t, err)
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require.Equal(t, tc.expValues1, values)
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matchers = []*labels.Matcher{labels.MustNewMatcher(labels.MatchNotRegexp, "foo", "^bar.")}
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values, err = oh.LabelValues("foo", matchers...)
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sort.Strings(values)
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require.NoError(t, err)
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require.Equal(t, tc.expValues2, values)
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matchers = []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "foo", "bar.")}
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values, err = oh.LabelValues("foo", matchers...)
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sort.Strings(values)
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require.NoError(t, err)
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require.Equal(t, tc.expValues3, values)
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values, err = oh.LabelValues("foo")
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sort.Strings(values)
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require.NoError(t, err)
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require.Equal(t, tc.expValues4, values)
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})
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}
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}
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|
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// TestOOOHeadChunkReader_Chunk tests that the Chunk method works as expected.
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// It does so by appending out of order samples to the db and then initializing
|
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// an OOOHeadChunkReader to read chunks from it.
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func TestOOOHeadChunkReader_Chunk(t *testing.T) {
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opts := DefaultOptions()
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opts.OutOfOrderCapMax = 5
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opts.OutOfOrderTimeWindow = 120 * time.Minute.Milliseconds()
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|
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s1 := labels.FromStrings("l", "v1")
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minutes := func(m int64) int64 { return m * time.Minute.Milliseconds() }
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|
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appendSample := func(app storage.Appender, l labels.Labels, timestamp int64, value float64) storage.SeriesRef {
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ref, err := app.Append(0, l, timestamp, value)
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require.NoError(t, err)
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return ref
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}
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|
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t.Run("Getting a non existing chunk fails with not found error", func(t *testing.T) {
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db := newTestDBWithOpts(t, opts)
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|
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cr := NewOOOHeadChunkReader(db.head, 0, 1000)
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c, err := cr.Chunk(chunks.Meta{
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Ref: 0x1000000, Chunk: chunkenc.Chunk(nil), MinTime: 100, MaxTime: 300,
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})
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require.Equal(t, err, fmt.Errorf("not found"))
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require.Equal(t, c, nil)
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})
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|
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tests := []struct {
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name string
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queryMinT int64
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queryMaxT int64
|
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firstInOrderSampleAt int64
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inputSamples tsdbutil.SampleSlice
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expChunkError bool
|
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expChunksSamples []tsdbutil.SampleSlice
|
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}{
|
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{
|
|
name: "Getting the head when there are no overlapping chunks returns just the samples in the head",
|
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queryMinT: minutes(0),
|
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queryMaxT: minutes(100),
|
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firstInOrderSampleAt: minutes(120),
|
|
inputSamples: tsdbutil.SampleSlice{
|
|
sample{t: minutes(30), v: float64(0)},
|
|
sample{t: minutes(40), v: float64(0)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(30), v: float64(0)},
|
|
sample{t: minutes(40), v: float64(0)},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
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
|
|
sample{t: minutes(41), v: float64(0)},
|
|
sample{t: minutes(42), v: float64(0)},
|
|
sample{t: minutes(43), v: float64(0)},
|
|
sample{t: minutes(44), v: float64(0)},
|
|
sample{t: minutes(45), v: float64(0)},
|
|
// The following samples will go to the head chunk, and we want it
|
|
// to overlap with the previous chunk
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(50), v: float64(1)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(41), v: float64(0)},
|
|
sample{t: minutes(42), v: float64(0)},
|
|
sample{t: minutes(43), v: float64(0)},
|
|
sample{t: minutes(44), v: float64(0)},
|
|
sample{t: minutes(45), v: float64(0)},
|
|
sample{t: minutes(50), v: float64(1)},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
name: "Two windows of overlapping chunks get properly converged",
|
|
queryMinT: minutes(0),
|
|
queryMaxT: minutes(100),
|
|
firstInOrderSampleAt: minutes(120),
|
|
inputSamples: tsdbutil.SampleSlice{
|
|
// Chunk 0
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(12), v: float64(0)},
|
|
sample{t: minutes(14), v: float64(0)},
|
|
sample{t: minutes(16), v: float64(0)},
|
|
sample{t: minutes(20), v: float64(0)},
|
|
// Chunk 1
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(22), v: float64(1)},
|
|
sample{t: minutes(24), v: float64(1)},
|
|
sample{t: minutes(26), v: float64(1)},
|
|
sample{t: minutes(29), v: float64(1)},
|
|
// Chunk 2
|
|
sample{t: minutes(30), v: float64(2)},
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(34), v: float64(2)},
|
|
sample{t: minutes(36), v: float64(2)},
|
|
sample{t: minutes(40), v: float64(2)},
|
|
// Head
|
|
sample{t: minutes(40), v: float64(3)},
|
|
sample{t: minutes(50), v: float64(3)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(12), v: float64(0)},
|
|
sample{t: minutes(14), v: float64(0)},
|
|
sample{t: minutes(16), v: float64(0)},
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(22), v: float64(1)},
|
|
sample{t: minutes(24), v: float64(1)},
|
|
sample{t: minutes(26), v: float64(1)},
|
|
sample{t: minutes(29), v: float64(1)},
|
|
},
|
|
{
|
|
sample{t: minutes(30), v: float64(2)},
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(34), v: float64(2)},
|
|
sample{t: minutes(36), v: float64(2)},
|
|
sample{t: minutes(40), v: float64(3)},
|
|
sample{t: minutes(50), v: float64(3)},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
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
|
|
sample{t: minutes(40), v: float64(0)},
|
|
sample{t: minutes(42), v: float64(0)},
|
|
sample{t: minutes(44), v: float64(0)},
|
|
sample{t: minutes(46), v: float64(0)},
|
|
sample{t: minutes(50), v: float64(0)},
|
|
// Chunk 1
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(32), v: float64(1)},
|
|
sample{t: minutes(34), v: float64(1)},
|
|
sample{t: minutes(36), v: float64(1)},
|
|
sample{t: minutes(40), v: float64(1)},
|
|
// Chunk 2
|
|
sample{t: minutes(20), v: float64(2)},
|
|
sample{t: minutes(22), v: float64(2)},
|
|
sample{t: minutes(24), v: float64(2)},
|
|
sample{t: minutes(26), v: float64(2)},
|
|
sample{t: minutes(29), v: float64(2)},
|
|
// Head
|
|
sample{t: minutes(10), v: float64(3)},
|
|
sample{t: minutes(20), v: float64(3)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(10), v: float64(3)},
|
|
sample{t: minutes(20), v: float64(2)},
|
|
sample{t: minutes(22), v: float64(2)},
|
|
sample{t: minutes(24), v: float64(2)},
|
|
sample{t: minutes(26), v: float64(2)},
|
|
sample{t: minutes(29), v: float64(2)},
|
|
},
|
|
{
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(32), v: float64(1)},
|
|
sample{t: minutes(34), v: float64(1)},
|
|
sample{t: minutes(36), v: float64(1)},
|
|
sample{t: minutes(40), v: float64(0)},
|
|
sample{t: minutes(42), v: float64(0)},
|
|
sample{t: minutes(44), v: float64(0)},
|
|
sample{t: minutes(46), v: float64(0)},
|
|
sample{t: minutes(50), v: float64(0)},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
name: "If chunks are not overlapped they are not converged",
|
|
queryMinT: minutes(0),
|
|
queryMaxT: minutes(100),
|
|
firstInOrderSampleAt: minutes(120),
|
|
inputSamples: tsdbutil.SampleSlice{
|
|
// Chunk 0
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(12), v: float64(0)},
|
|
sample{t: minutes(14), v: float64(0)},
|
|
sample{t: minutes(16), v: float64(0)},
|
|
sample{t: minutes(18), v: float64(0)},
|
|
// Chunk 1
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(22), v: float64(1)},
|
|
sample{t: minutes(24), v: float64(1)},
|
|
sample{t: minutes(26), v: float64(1)},
|
|
sample{t: minutes(28), v: float64(1)},
|
|
// Chunk 2
|
|
sample{t: minutes(30), v: float64(2)},
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(34), v: float64(2)},
|
|
sample{t: minutes(36), v: float64(2)},
|
|
sample{t: minutes(38), v: float64(2)},
|
|
// Head
|
|
sample{t: minutes(40), v: float64(3)},
|
|
sample{t: minutes(42), v: float64(3)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(12), v: float64(0)},
|
|
sample{t: minutes(14), v: float64(0)},
|
|
sample{t: minutes(16), v: float64(0)},
|
|
sample{t: minutes(18), v: float64(0)},
|
|
},
|
|
{
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(22), v: float64(1)},
|
|
sample{t: minutes(24), v: float64(1)},
|
|
sample{t: minutes(26), v: float64(1)},
|
|
sample{t: minutes(28), v: float64(1)},
|
|
},
|
|
{
|
|
sample{t: minutes(30), v: float64(2)},
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(34), v: float64(2)},
|
|
sample{t: minutes(36), v: float64(2)},
|
|
sample{t: minutes(38), v: float64(2)},
|
|
},
|
|
{
|
|
sample{t: minutes(40), v: float64(3)},
|
|
sample{t: minutes(42), v: float64(3)},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
name: "Triplet of chunks overlapping returns a single merged chunk",
|
|
queryMinT: minutes(0),
|
|
queryMaxT: minutes(100),
|
|
firstInOrderSampleAt: minutes(120),
|
|
inputSamples: tsdbutil.SampleSlice{
|
|
// Chunk 0
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(15), v: float64(0)},
|
|
sample{t: minutes(20), v: float64(0)},
|
|
sample{t: minutes(25), v: float64(0)},
|
|
sample{t: minutes(30), v: float64(0)},
|
|
// Chunk 1
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(35), v: float64(1)},
|
|
sample{t: minutes(42), v: float64(1)},
|
|
// Chunk 2 Head
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(50), v: float64(2)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(15), v: float64(0)},
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(35), v: float64(1)},
|
|
sample{t: minutes(42), v: float64(1)},
|
|
sample{t: minutes(50), v: float64(2)},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
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
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(15), v: float64(0)},
|
|
sample{t: minutes(20), v: float64(0)},
|
|
sample{t: minutes(25), v: float64(0)},
|
|
sample{t: minutes(30), v: float64(0)},
|
|
// Chunk 1
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(35), v: float64(1)},
|
|
sample{t: minutes(42), v: float64(1)},
|
|
// Chunk 2 Head
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(50), v: float64(2)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(10), v: float64(0)},
|
|
sample{t: minutes(15), v: float64(0)},
|
|
sample{t: minutes(20), v: float64(1)},
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(30), v: float64(1)},
|
|
sample{t: minutes(32), v: float64(2)},
|
|
sample{t: minutes(35), v: float64(1)},
|
|
sample{t: minutes(42), v: float64(1)},
|
|
sample{t: minutes(50), v: float64(2)},
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
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 {
|
|
appendSample(app, s1, s.T(), s.V())
|
|
}
|
|
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
|
|
var respLset labels.Labels
|
|
var b labels.ScratchBuilder
|
|
err := ir.Series(s1Ref, &b, &respLset, &chks)
|
|
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)
|
|
for it.Next() == chunkenc.ValFloat {
|
|
t, v := it.At()
|
|
resultSamples = append(resultSamples, sample{t: t, v: v})
|
|
}
|
|
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
|
|
sample{t: minutes(20), v: float64(0)},
|
|
sample{t: minutes(22), v: float64(0)},
|
|
sample{t: minutes(24), v: float64(0)},
|
|
sample{t: minutes(26), v: float64(0)},
|
|
sample{t: minutes(30), v: float64(0)},
|
|
// Chunk 1 Head
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(35), v: float64(1)},
|
|
},
|
|
samplesAfterSeriesCall: tsdbutil.SampleSlice{
|
|
sample{t: minutes(10), v: float64(1)},
|
|
sample{t: minutes(32), v: float64(1)},
|
|
sample{t: minutes(50), v: float64(1)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(20), v: float64(0)},
|
|
sample{t: minutes(22), v: float64(0)},
|
|
sample{t: minutes(24), v: float64(0)},
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(26), v: float64(0)},
|
|
sample{t: minutes(30), v: float64(0)},
|
|
sample{t: minutes(32), v: 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), v: float64(1)},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
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
|
|
sample{t: minutes(20), v: float64(0)},
|
|
sample{t: minutes(22), v: float64(0)},
|
|
sample{t: minutes(24), v: float64(0)},
|
|
sample{t: minutes(26), v: float64(0)},
|
|
sample{t: minutes(30), v: float64(0)},
|
|
// Chunk 1 Head
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(35), v: float64(1)},
|
|
},
|
|
samplesAfterSeriesCall: tsdbutil.SampleSlice{
|
|
sample{t: minutes(10), v: float64(1)},
|
|
sample{t: minutes(32), v: float64(1)},
|
|
sample{t: minutes(50), v: float64(1)},
|
|
// Chunk 1 gets mmapped and Chunk 2, the new head is born
|
|
sample{t: minutes(25), v: float64(2)},
|
|
sample{t: minutes(31), v: float64(2)},
|
|
},
|
|
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{
|
|
{
|
|
sample{t: minutes(20), v: float64(0)},
|
|
sample{t: minutes(22), v: float64(0)},
|
|
sample{t: minutes(24), v: float64(0)},
|
|
sample{t: minutes(25), v: float64(1)},
|
|
sample{t: minutes(26), v: float64(0)},
|
|
sample{t: minutes(30), v: float64(0)},
|
|
sample{t: minutes(32), v: 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), v: float64(1)},
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
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 {
|
|
appendSample(app, s1, s.T(), s.V())
|
|
}
|
|
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
|
|
var respLset labels.Labels
|
|
var b labels.ScratchBuilder
|
|
err := ir.Series(s1Ref, &b, &respLset, &chks)
|
|
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 {
|
|
appendSample(app, s1, s.T(), s.V())
|
|
}
|
|
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)
|
|
for it.Next() == chunkenc.ValFloat {
|
|
ts, v := it.At()
|
|
resultSamples = append(resultSamples, sample{t: ts, v: v})
|
|
}
|
|
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) {
|
|
sort.Sort(byMinTimeAndMinRef(tc.input))
|
|
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) {
|
|
sort.Sort(metaByMinTimeAndMinRef(tc.inputMetas))
|
|
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
|
|
}
|