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// Copyright 2017 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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"math/rand"
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"os"
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"path"
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"path/filepath"
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"sync"
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"testing"
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"time"
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"github.com/go-kit/log"
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"github.com/oklog/ulid"
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"github.com/pkg/errors"
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prom_testutil "github.com/prometheus/client_golang/prometheus/testutil"
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"github.com/stretchr/testify/require"
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"github.com/prometheus/prometheus/model/histogram"
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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/fileutil"
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"github.com/prometheus/prometheus/tsdb/tombstones"
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"github.com/prometheus/prometheus/tsdb/tsdbutil"
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"github.com/prometheus/prometheus/tsdb/wlog"
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)
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func TestSplitByRange(t *testing.T) {
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cases := []struct {
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trange int64
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ranges [][2]int64
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output [][][2]int64
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}{
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{
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trange: 60,
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ranges: [][2]int64{{0, 10}},
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output: [][][2]int64{
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{{0, 10}},
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},
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},
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{
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trange: 60,
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ranges: [][2]int64{{0, 60}},
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output: [][][2]int64{
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{{0, 60}},
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},
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},
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{
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trange: 60,
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ranges: [][2]int64{{0, 10}, {9, 15}, {30, 60}},
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output: [][][2]int64{
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{{0, 10}, {9, 15}, {30, 60}},
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},
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},
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{
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trange: 60,
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ranges: [][2]int64{{70, 90}, {125, 130}, {130, 180}, {1000, 1001}},
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output: [][][2]int64{
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{{70, 90}},
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{{125, 130}, {130, 180}},
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{{1000, 1001}},
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},
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},
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// Mis-aligned or too-large blocks are ignored.
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{
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trange: 60,
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ranges: [][2]int64{{50, 70}, {70, 80}},
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output: [][][2]int64{
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{{70, 80}},
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},
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},
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{
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trange: 72,
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ranges: [][2]int64{{0, 144}, {144, 216}, {216, 288}},
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output: [][][2]int64{
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{{144, 216}},
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{{216, 288}},
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},
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},
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// Various awkward edge cases easy to hit with negative numbers.
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{
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trange: 60,
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ranges: [][2]int64{{-10, -5}},
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output: [][][2]int64{
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{{-10, -5}},
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},
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},
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{
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trange: 60,
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ranges: [][2]int64{{-60, -50}, {-10, -5}},
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output: [][][2]int64{
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{{-60, -50}, {-10, -5}},
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},
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},
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{
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trange: 60,
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ranges: [][2]int64{{-60, -50}, {-10, -5}, {0, 15}},
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output: [][][2]int64{
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{{-60, -50}, {-10, -5}},
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{{0, 15}},
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},
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},
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}
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for _, c := range cases {
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// Transform input range tuples into dirMetas.
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blocks := make([]dirMeta, 0, len(c.ranges))
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for _, r := range c.ranges {
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blocks = append(blocks, dirMeta{
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meta: &BlockMeta{
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MinTime: r[0],
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MaxTime: r[1],
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},
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})
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}
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// Transform output range tuples into dirMetas.
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exp := make([][]dirMeta, len(c.output))
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for i, group := range c.output {
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for _, r := range group {
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exp[i] = append(exp[i], dirMeta{
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meta: &BlockMeta{MinTime: r[0], MaxTime: r[1]},
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})
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}
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}
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require.Equal(t, exp, splitByRange(blocks, c.trange))
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}
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}
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// See https://github.com/prometheus/prometheus/issues/3064
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func TestNoPanicFor0Tombstones(t *testing.T) {
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metas := []dirMeta{
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{
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dir: "1",
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meta: &BlockMeta{
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MinTime: 0,
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MaxTime: 100,
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},
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},
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{
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dir: "2",
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meta: &BlockMeta{
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MinTime: 101,
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MaxTime: 200,
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},
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},
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}
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c, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{50}, nil, nil)
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require.NoError(t, err)
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c.plan(metas)
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}
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func TestLeveledCompactor_plan(t *testing.T) {
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// This mimics our default ExponentialBlockRanges with min block size equals to 20.
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compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{
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20,
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60,
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180,
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540,
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1620,
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}, nil, nil)
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require.NoError(t, err)
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cases := map[string]struct {
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metas []dirMeta
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expected []string
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}{
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"Outside Range": {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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},
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expected: nil,
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},
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"We should wait for four blocks of size 20 to appear before compacting.": {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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},
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expected: nil,
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},
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`We should wait for a next block of size 20 to appear before compacting
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the existing ones. We have three, but we ignore the fresh one from WAl`: {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 40, 60, nil),
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},
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expected: nil,
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},
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"Block to fill the entire parent range appeared – should be compacted": {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 40, 60, nil),
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metaRange("4", 60, 80, nil),
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},
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expected: []string{"1", "2", "3"},
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},
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`Block for the next parent range appeared with gap with size 20. Nothing will happen in the first one
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anymore but we ignore fresh one still, so no compaction`: {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 60, 80, nil),
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},
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expected: nil,
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},
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`Block for the next parent range appeared, and we have a gap with size 20 between second and third block.
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We will not get this missed gap anymore and we should compact just these two.`: {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 60, 80, nil),
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metaRange("4", 80, 100, nil),
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},
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expected: []string{"1", "2"},
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},
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"We have 20, 20, 20, 60, 60 range blocks. '5' is marked as fresh one": {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 40, 60, nil),
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metaRange("4", 60, 120, nil),
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metaRange("5", 120, 180, nil),
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},
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expected: []string{"1", "2", "3"},
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},
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"We have 20, 60, 20, 60, 240 range blocks. We can compact 20 + 60 + 60": {
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metas: []dirMeta{
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metaRange("2", 20, 40, nil),
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metaRange("4", 60, 120, nil),
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metaRange("5", 960, 980, nil), // Fresh one.
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metaRange("6", 120, 180, nil),
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metaRange("7", 720, 960, nil),
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},
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expected: []string{"2", "4", "6"},
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},
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"Do not select large blocks that have many tombstones when there is no fresh block": {
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metas: []dirMeta{
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metaRange("1", 0, 540, &BlockStats{
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NumSeries: 10,
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NumTombstones: 3,
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}),
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},
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expected: nil,
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},
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"Select large blocks that have many tombstones when fresh appears": {
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metas: []dirMeta{
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metaRange("1", 0, 540, &BlockStats{
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NumSeries: 10,
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NumTombstones: 3,
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}),
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metaRange("2", 540, 560, nil),
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},
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expected: []string{"1"},
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},
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"For small blocks, do not compact tombstones, even when fresh appears.": {
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metas: []dirMeta{
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metaRange("1", 0, 60, &BlockStats{
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NumSeries: 10,
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NumTombstones: 3,
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}),
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metaRange("2", 60, 80, nil),
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},
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expected: nil,
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},
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`Regression test: we were stuck in a compact loop where we always recompacted
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the same block when tombstones and series counts were zero`: {
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metas: []dirMeta{
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metaRange("1", 0, 540, &BlockStats{
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NumSeries: 0,
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NumTombstones: 0,
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}),
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metaRange("2", 540, 560, nil),
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},
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expected: nil,
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},
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`Regression test: we were wrongly assuming that new block is fresh from WAL when its ULID is newest.
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We need to actually look on max time instead.
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With previous, wrong approach "8" block was ignored, so we were wrongly compacting 5 and 7 and introducing
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block overlaps`: {
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metas: []dirMeta{
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metaRange("5", 0, 360, nil),
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metaRange("6", 540, 560, nil), // Fresh one.
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metaRange("7", 360, 420, nil),
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metaRange("8", 420, 540, nil),
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},
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expected: []string{"7", "8"},
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},
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// |--------------|
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// |----------------|
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// |--------------|
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"Overlapping blocks 1": {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 19, 40, nil),
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metaRange("3", 40, 60, nil),
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},
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expected: []string{"1", "2"},
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},
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// |--------------|
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// |--------------|
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// |--------------|
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"Overlapping blocks 2": {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 30, 50, nil),
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},
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expected: []string{"2", "3"},
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},
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// |--------------|
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// |---------------------|
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// |--------------|
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"Overlapping blocks 3": {
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 10, 40, nil),
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metaRange("3", 30, 50, nil),
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},
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expected: []string{"1", "2", "3"},
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},
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// |--------------|
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// |--------------------------------|
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// |--------------|
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// |--------------|
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"Overlapping blocks 4": {
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metas: []dirMeta{
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metaRange("5", 0, 360, nil),
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metaRange("6", 340, 560, nil),
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metaRange("7", 360, 420, nil),
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metaRange("8", 420, 540, nil),
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},
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expected: []string{"5", "6", "7", "8"},
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},
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// |--------------|
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// |--------------|
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// |--------------|
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// |--------------|
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"Overlapping blocks 5": {
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metas: []dirMeta{
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metaRange("1", 0, 10, nil),
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metaRange("2", 9, 20, nil),
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metaRange("3", 30, 40, nil),
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metaRange("4", 39, 50, nil),
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},
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expected: []string{"1", "2"},
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},
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}
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for title, c := range cases {
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if !t.Run(title, func(t *testing.T) {
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res, err := compactor.plan(c.metas)
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require.NoError(t, err)
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require.Equal(t, c.expected, res)
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}) {
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return
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}
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}
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}
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func TestRangeWithFailedCompactionWontGetSelected(t *testing.T) {
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compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{
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20,
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60,
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240,
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720,
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2160,
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}, nil, nil)
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require.NoError(t, err)
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cases := []struct {
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metas []dirMeta
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}{
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{
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 40, 60, nil),
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metaRange("4", 60, 80, nil),
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},
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},
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{
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 60, 80, nil),
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metaRange("4", 80, 100, nil),
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},
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},
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{
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metas: []dirMeta{
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metaRange("1", 0, 20, nil),
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metaRange("2", 20, 40, nil),
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metaRange("3", 40, 60, nil),
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metaRange("4", 60, 120, nil),
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metaRange("5", 120, 180, nil),
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metaRange("6", 180, 200, nil),
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},
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},
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}
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for _, c := range cases {
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c.metas[1].meta.Compaction.Failed = true
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res, err := compactor.plan(c.metas)
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require.NoError(t, err)
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require.Equal(t, []string(nil), res)
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}
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}
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func TestCompactionFailWillCleanUpTempDir(t *testing.T) {
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compactor, err := NewLeveledCompactor(context.Background(), nil, log.NewNopLogger(), []int64{
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20,
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60,
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240,
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720,
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2160,
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}, nil, nil)
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require.NoError(t, err)
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tmpdir := t.TempDir()
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require.Error(t, compactor.write(tmpdir, &BlockMeta{}, DefaultBlockPopulator{}, erringBReader{}))
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_, err = os.Stat(filepath.Join(tmpdir, BlockMeta{}.ULID.String()) + tmpForCreationBlockDirSuffix)
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require.True(t, os.IsNotExist(err), "directory is not cleaned up")
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}
|
|
|
|
|
|
func metaRange(name string, mint, maxt int64, stats *BlockStats) dirMeta {
|
|
|
meta := &BlockMeta{MinTime: mint, MaxTime: maxt}
|
|
|
if stats != nil {
|
|
|
meta.Stats = *stats
|
|
|
}
|
|
|
return dirMeta{
|
|
|
dir: name,
|
|
|
meta: meta,
|
|
|
}
|
|
|
}
|
|
|
|
|
|
type erringBReader struct{}
|
|
|
|
|
|
func (erringBReader) Index() (IndexReader, error) { return nil, errors.New("index") }
|
|
|
func (erringBReader) Chunks() (ChunkReader, error) { return nil, errors.New("chunks") }
|
|
|
func (erringBReader) Tombstones() (tombstones.Reader, error) { return nil, errors.New("tombstones") }
|
|
|
func (erringBReader) Meta() BlockMeta { return BlockMeta{} }
|
|
|
func (erringBReader) Size() int64 { return 0 }
|
|
|
|
|
|
type nopChunkWriter struct{}
|
|
|
|
|
|
func (nopChunkWriter) WriteChunks(...chunks.Meta) error { return nil }
|
|
|
func (nopChunkWriter) Close() error { return nil }
|
|
|
|
|
|
func samplesForRange(minTime, maxTime int64, maxSamplesPerChunk int) (ret [][]sample) {
|
|
|
var curr []sample
|
|
|
for i := minTime; i <= maxTime; i++ {
|
|
|
curr = append(curr, sample{t: i})
|
|
|
if len(curr) >= maxSamplesPerChunk {
|
|
|
ret = append(ret, curr)
|
|
|
curr = []sample{}
|
|
|
}
|
|
|
}
|
|
|
if len(curr) > 0 {
|
|
|
ret = append(ret, curr)
|
|
|
}
|
|
|
return ret
|
|
|
}
|
|
|
|
|
|
func TestCompaction_populateBlock(t *testing.T) {
|
|
|
for _, tc := range []struct {
|
|
|
title string
|
|
|
inputSeriesSamples [][]seriesSamples
|
|
|
compactMinTime int64
|
|
|
compactMaxTime int64 // When not defined the test runner sets a default of math.MaxInt64.
|
|
|
expSeriesSamples []seriesSamples
|
|
|
expErr error
|
|
|
}{
|
|
|
{
|
|
|
title: "Populate block from empty input should return error.",
|
|
|
inputSeriesSamples: [][]seriesSamples{},
|
|
|
expErr: errors.New("cannot populate block from no readers"),
|
|
|
},
|
|
|
{
|
|
|
// Populate from single block without chunks. We expect these kind of series being ignored.
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{{lset: map[string]string{"a": "b"}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from single block. We expect the same samples at the output.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from two blocks.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}},
|
|
|
},
|
|
|
{
|
|
|
// no-chunk series should be dropped.
|
|
|
lset: map[string]string{"a": "empty"},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 21}, {t: 30}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: 40}, {t: 45}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}, {{t: 21}, {t: 30}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}, {{t: 40}, {t: 45}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from two blocks; chunks with negative time.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: -11}, {t: -9}}, {{t: 10}, {t: 19}}},
|
|
|
},
|
|
|
{
|
|
|
// no-chunk series should be dropped.
|
|
|
lset: map[string]string{"a": "empty"},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 21}, {t: 30}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: 40}, {t: 45}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
compactMinTime: -11,
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}, {{t: 21}, {t: 30}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: -11}, {t: -9}}, {{t: 10}, {t: 19}}, {{t: 40}, {t: 45}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from two blocks showing that order is maintained.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 21}, {t: 30}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: 40}, {t: 45}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}, {{t: 21}, {t: 30}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "c"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}, {{t: 40}, {t: 45}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from two blocks showing that order of series is sorted.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "4"},
|
|
|
chunks: [][]sample{{{t: 5}, {t: 7}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "3"},
|
|
|
chunks: [][]sample{{{t: 5}, {t: 6}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "same"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 4}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "2"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 3}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "1"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "same"},
|
|
|
chunks: [][]sample{{{t: 5}, {t: 8}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "2"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 3}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "3"},
|
|
|
chunks: [][]sample{{{t: 5}, {t: 6}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "4"},
|
|
|
chunks: [][]sample{{{t: 5}, {t: 7}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "same"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 4}}, {{t: 5}, {t: 8}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from two blocks 1:1 duplicated chunks; with negative timestamps.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 3}, {t: 4}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "2"},
|
|
|
chunks: [][]sample{{{t: -3}, {t: -2}}, {{t: 1}, {t: 3}, {t: 4}}, {{t: 5}, {t: 6}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1"},
|
|
|
chunks: [][]sample{{{t: 3}, {t: 4}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "2"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 3}, {t: 4}}, {{t: 7}, {t: 8}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
compactMinTime: -3,
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 3}, {t: 4}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "2"},
|
|
|
chunks: [][]sample{{{t: -3}, {t: -2}}, {{t: 1}, {t: 3}, {t: 4}}, {{t: 5}, {t: 6}}, {{t: 7}, {t: 8}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
// This should not happened because head block is making sure the chunks are not crossing block boundaries.
|
|
|
// We used to return error, but now chunk is trimmed.
|
|
|
title: "Populate from single block containing chunk outside of compact meta time range.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 30}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
compactMinTime: 0,
|
|
|
compactMaxTime: 20,
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
// Introduced by https://github.com/prometheus/tsdb/issues/347. We used to return error, but now chunk is trimmed.
|
|
|
title: "Populate from single block containing extra chunk",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "issue347"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 20}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
compactMinTime: 0,
|
|
|
compactMaxTime: 10,
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "issue347"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
// Deduplication expected.
|
|
|
// Introduced by pull/370 and pull/539.
|
|
|
title: "Populate from two blocks containing duplicated chunk.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 20}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 10}, {t: 20}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "b"},
|
|
|
chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 20}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
// Introduced by https://github.com/prometheus/tsdb/pull/539.
|
|
|
title: "Populate from three overlapping blocks.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-all"},
|
|
|
chunks: [][]sample{{{t: 19}, {t: 30}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-beginning"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 5}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-ending"},
|
|
|
chunks: [][]sample{{{t: 21}, {t: 30}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-all"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}, {t: 11}, {t: 20}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-beginning"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}, {t: 12}, {t: 20}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-ending"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}, {t: 13}, {t: 20}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-all"},
|
|
|
chunks: [][]sample{{{t: 27}, {t: 35}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-ending"},
|
|
|
chunks: [][]sample{{{t: 27}, {t: 35}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-all"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}, {t: 11}, {t: 19}, {t: 20}, {t: 27}, {t: 30}, {t: 35}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-beginning"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 5}, {t: 10}, {t: 12}, {t: 20}}},
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "overlap-ending"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 10}, {t: 13}, {t: 20}}, {{t: 21}, {t: 27}, {t: 30}, {t: 35}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from three partially overlapping blocks with few full chunks.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "1"},
|
|
|
chunks: samplesForRange(0, 659, 120), // 5 chunks and half.
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: samplesForRange(0, 659, 120),
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: samplesForRange(480, 1199, 120), // two chunks overlapping with previous, two non overlapping and two overlapping with next block.
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "3"},
|
|
|
chunks: samplesForRange(480, 1199, 120),
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: samplesForRange(960, 1499, 120), // 5 chunks and half.
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "4"},
|
|
|
chunks: samplesForRange(960, 1499, 120),
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "1"},
|
|
|
chunks: samplesForRange(0, 659, 120),
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: samplesForRange(0, 1499, 120),
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "3"},
|
|
|
chunks: samplesForRange(480, 1199, 120),
|
|
|
},
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "4"},
|
|
|
chunks: samplesForRange(960, 1499, 120),
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
title: "Populate from three partially overlapping blocks with chunks that are expected to merge into single big chunks.",
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 6902464}}, {{t: 6961968}, {t: 7080976}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: [][]sample{{{t: 3600000}, {t: 13953696}}, {{t: 14042952}, {t: 14221464}}},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: [][]sample{{{t: 10800000}, {t: 14251232}}, {{t: 14280984}, {t: 14340488}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1", "b": "2"},
|
|
|
chunks: [][]sample{{{t: 0}, {t: 3600000}, {t: 6902464}, {t: 6961968}, {t: 7080976}, {t: 10800000}, {t: 13953696}, {t: 14042952}, {t: 14221464}, {t: 14251232}}, {{t: 14280984}, {t: 14340488}}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
{
|
|
|
// Regression test for populateWithDelChunkSeriesIterator failing to set minTime on chunks.
|
|
|
title: "Populate from mixed type series and expect sample inside the interval only.",
|
|
|
compactMinTime: 1,
|
|
|
compactMaxTime: 11,
|
|
|
inputSeriesSamples: [][]seriesSamples{
|
|
|
{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1"},
|
|
|
chunks: [][]sample{
|
|
|
{{t: 0, h: tsdbutil.GenerateTestHistogram(0)}, {t: 1, h: tsdbutil.GenerateTestHistogram(1)}},
|
|
|
{{t: 10, f: 1}, {t: 11, f: 2}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
expSeriesSamples: []seriesSamples{
|
|
|
{
|
|
|
lset: map[string]string{"a": "1"},
|
|
|
chunks: [][]sample{
|
|
|
{{t: 1, h: tsdbutil.GenerateTestHistogram(1)}},
|
|
|
{{t: 10, f: 1}},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
},
|
|
|
} {
|
|
|
t.Run(tc.title, func(t *testing.T) {
|
|
|
blocks := make([]BlockReader, 0, len(tc.inputSeriesSamples))
|
|
|
for _, b := range tc.inputSeriesSamples {
|
|
|
ir, cr, mint, maxt := createIdxChkReaders(t, b)
|
|
|
blocks = append(blocks, &mockBReader{ir: ir, cr: cr, mint: mint, maxt: maxt})
|
|
|
}
|
|
|
|
|
|
c, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{0}, nil, nil)
|
|
|
require.NoError(t, err)
|
|
|
|
|
|
meta := &BlockMeta{
|
|
|
MinTime: tc.compactMinTime,
|
|
|
MaxTime: tc.compactMaxTime,
|
|
|
}
|
|
|
if meta.MaxTime == 0 {
|
|
|
meta.MaxTime = math.MaxInt64
|
|
|
}
|
|
|
|
|
|
iw := &mockIndexWriter{}
|
|
|
blockPopulator := DefaultBlockPopulator{}
|
|
|
err = blockPopulator.PopulateBlock(c.ctx, c.metrics, c.logger, c.chunkPool, c.mergeFunc, blocks, meta, iw, nopChunkWriter{})
|
|
|
if tc.expErr != nil {
|
|
|
require.Error(t, err)
|
|
|
require.Equal(t, tc.expErr.Error(), err.Error())
|
|
|
return
|
|
|
}
|
|
|
require.NoError(t, err)
|
|
|
|
|
|
// Check if response is expected and chunk is valid.
|
|
|
var raw []seriesSamples
|
|
|
for _, s := range iw.seriesChunks {
|
|
|
ss := seriesSamples{lset: s.l.Map()}
|
|
|
var iter chunkenc.Iterator
|
|
|
for _, chk := range s.chunks {
|
|
|
var (
|
|
|
samples = make([]sample, 0, chk.Chunk.NumSamples())
|
|
|
iter = chk.Chunk.Iterator(iter)
|
|
|
firstTs int64 = math.MaxInt64
|
|
|
s sample
|
|
|
)
|
|
|
for vt := iter.Next(); vt != chunkenc.ValNone; vt = iter.Next() {
|
|
|
switch vt {
|
|
|
case chunkenc.ValFloat:
|
|
|
s.t, s.f = iter.At()
|
|
|
samples = append(samples, s)
|
|
|
case chunkenc.ValHistogram:
|
|
|
s.t, s.h = iter.AtHistogram()
|
|
|
samples = append(samples, s)
|
|
|
case chunkenc.ValFloatHistogram:
|
|
|
s.t, s.fh = iter.AtFloatHistogram()
|
|
|
samples = append(samples, s)
|
|
|
default:
|
|
|
require.Fail(t, "unexpected value type")
|
|
|
}
|
|
|
if firstTs == math.MaxInt64 {
|
|
|
firstTs = s.t
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// Check if chunk has correct min, max times.
|
|
|
require.Equal(t, firstTs, chk.MinTime, "chunk Meta %v does not match the first encoded sample timestamp: %v", chk, firstTs)
|
|
|
require.Equal(t, s.t, chk.MaxTime, "chunk Meta %v does not match the last encoded sample timestamp %v", chk, s.t)
|
|
|
|
|
|
require.NoError(t, iter.Err())
|
|
|
ss.chunks = append(ss.chunks, samples)
|
|
|
}
|
|
|
raw = append(raw, ss)
|
|
|
}
|
|
|
require.Equal(t, tc.expSeriesSamples, raw)
|
|
|
|
|
|
// Check if stats are calculated properly.
|
|
|
s := BlockStats{NumSeries: uint64(len(tc.expSeriesSamples))}
|
|
|
for _, series := range tc.expSeriesSamples {
|
|
|
s.NumChunks += uint64(len(series.chunks))
|
|
|
for _, chk := range series.chunks {
|
|
|
s.NumSamples += uint64(len(chk))
|
|
|
}
|
|
|
}
|
|
|
require.Equal(t, s, meta.Stats)
|
|
|
})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
func BenchmarkCompaction(b *testing.B) {
|
|
|
cases := []struct {
|
|
|
ranges [][2]int64
|
|
|
compactionType string
|
|
|
}{
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 100}, {200, 300}, {400, 500}, {600, 700}},
|
|
|
compactionType: "normal",
|
|
|
},
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 1000}, {2000, 3000}, {4000, 5000}, {6000, 7000}},
|
|
|
compactionType: "normal",
|
|
|
},
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 2000}, {3000, 5000}, {6000, 8000}, {9000, 11000}},
|
|
|
compactionType: "normal",
|
|
|
},
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 5000}, {6000, 11000}, {12000, 17000}, {18000, 23000}},
|
|
|
compactionType: "normal",
|
|
|
},
|
|
|
// 40% overlaps.
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 100}, {60, 160}, {120, 220}, {180, 280}},
|
|
|
compactionType: "vertical",
|
|
|
},
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 1000}, {600, 1600}, {1200, 2200}, {1800, 2800}},
|
|
|
compactionType: "vertical",
|
|
|
},
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 2000}, {1200, 3200}, {2400, 4400}, {3600, 5600}},
|
|
|
compactionType: "vertical",
|
|
|
},
|
|
|
{
|
|
|
ranges: [][2]int64{{0, 5000}, {3000, 8000}, {6000, 11000}, {9000, 14000}},
|
|
|
compactionType: "vertical",
|
|
|
},
|
|
|
}
|
|
|
|
|
|
nSeries := 10000
|
|
|
for _, c := range cases {
|
|
|
nBlocks := len(c.ranges)
|
|
|
b.Run(fmt.Sprintf("type=%s,blocks=%d,series=%d,samplesPerSeriesPerBlock=%d", c.compactionType, nBlocks, nSeries, c.ranges[0][1]-c.ranges[0][0]+1), func(b *testing.B) {
|
|
|
dir := b.TempDir()
|
|
|
blockDirs := make([]string, 0, len(c.ranges))
|
|
|
var blocks []*Block
|
|
|
for _, r := range c.ranges {
|
|
|
block, err := OpenBlock(nil, createBlock(b, dir, genSeries(nSeries, 10, r[0], r[1])), nil)
|
|
|
require.NoError(b, err)
|
|
|
blocks = append(blocks, block)
|
|
|
defer func() {
|
|
|
require.NoError(b, block.Close())
|
|
|
}()
|
|
|
blockDirs = append(blockDirs, block.Dir())
|
|
|
}
|
|
|
|
|
|
c, err := NewLeveledCompactor(context.Background(), nil, log.NewNopLogger(), []int64{0}, nil, nil)
|
|
|
require.NoError(b, err)
|
|
|
|
|
|
b.ResetTimer()
|
|
|
b.ReportAllocs()
|
|
|
for i := 0; i < b.N; i++ {
|
|
|
_, err = c.Compact(dir, blockDirs, blocks)
|
|
|
require.NoError(b, err)
|
|
|
}
|
|
|
})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
func BenchmarkCompactionFromHead(b *testing.B) {
|
|
|
dir := b.TempDir()
|
|
|
totalSeries := 100000
|
|
|
for labelNames := 1; labelNames < totalSeries; labelNames *= 10 {
|
|
|
labelValues := totalSeries / labelNames
|
|
|
b.Run(fmt.Sprintf("labelnames=%d,labelvalues=%d", labelNames, labelValues), func(b *testing.B) {
|
|
|
chunkDir := b.TempDir()
|
|
|
opts := DefaultHeadOptions()
|
|
|
opts.ChunkRange = 1000
|
|
|
opts.ChunkDirRoot = chunkDir
|
|
|
h, err := NewHead(nil, nil, nil, nil, opts, nil)
|
|
|
require.NoError(b, err)
|
|
|
for ln := 0; ln < labelNames; ln++ {
|
|
|
app := h.Appender(context.Background())
|
|
|
for lv := 0; lv < labelValues; lv++ {
|
|
|
app.Append(0, labels.FromStrings(fmt.Sprintf("%d", ln), fmt.Sprintf("%d%s%d", lv, postingsBenchSuffix, ln)), 0, 0)
|
|
|
}
|
|
|
require.NoError(b, app.Commit())
|
|
|
}
|
|
|
|
|
|
b.ResetTimer()
|
|
|
b.ReportAllocs()
|
|
|
for i := 0; i < b.N; i++ {
|
|
|
createBlockFromHead(b, filepath.Join(dir, fmt.Sprintf("%d-%d", i, labelNames)), h)
|
|
|
}
|
|
|
h.Close()
|
|
|
})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
func BenchmarkCompactionFromOOOHead(b *testing.B) {
|
|
|
dir := b.TempDir()
|
|
|
totalSeries := 100000
|
|
|
totalSamples := 100
|
|
|
for labelNames := 1; labelNames < totalSeries; labelNames *= 10 {
|
|
|
labelValues := totalSeries / labelNames
|
|
|
b.Run(fmt.Sprintf("labelnames=%d,labelvalues=%d", labelNames, labelValues), func(b *testing.B) {
|
|
|
chunkDir := b.TempDir()
|
|
|
opts := DefaultHeadOptions()
|
|
|
opts.ChunkRange = 1000
|
|
|
opts.ChunkDirRoot = chunkDir
|
|
|
opts.OutOfOrderTimeWindow.Store(int64(totalSamples))
|
|
|
h, err := NewHead(nil, nil, nil, nil, opts, nil)
|
|
|
require.NoError(b, err)
|
|
|
for ln := 0; ln < labelNames; ln++ {
|
|
|
app := h.Appender(context.Background())
|
|
|
for lv := 0; lv < labelValues; lv++ {
|
|
|
lbls := labels.FromStrings(fmt.Sprintf("%d", ln), fmt.Sprintf("%d%s%d", lv, postingsBenchSuffix, ln))
|
|
|
_, err = app.Append(0, lbls, int64(totalSamples), 0)
|
|
|
require.NoError(b, err)
|
|
|
for ts := 0; ts < totalSamples; ts++ {
|
|
|
_, err = app.Append(0, lbls, int64(ts), float64(ts))
|
|
|
require.NoError(b, err)
|
|
|
}
|
|
|
}
|
|
|
require.NoError(b, app.Commit())
|
|
|
}
|
|
|
|
|
|
b.ResetTimer()
|
|
|
b.ReportAllocs()
|
|
|
for i := 0; i < b.N; i++ {
|
|
|
oooHead, err := NewOOOCompactionHead(context.TODO(), h)
|
|
|
require.NoError(b, err)
|
|
|
createBlockFromOOOHead(b, filepath.Join(dir, fmt.Sprintf("%d-%d", i, labelNames)), oooHead)
|
|
|
}
|
|
|
h.Close()
|
|
|
})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// TestDisableAutoCompactions checks that we can
|
|
|
// disable and enable the auto compaction.
|
|
|
// This is needed for unit tests that rely on
|
|
|
// checking state before and after a compaction.
|
|
|
func TestDisableAutoCompactions(t *testing.T) {
|
|
|
db := openTestDB(t, nil, nil)
|
|
|
defer func() {
|
|
|
require.NoError(t, db.Close())
|
|
|
}()
|
|
|
|
|
|
blockRange := db.compactor.(*LeveledCompactor).ranges[0]
|
|
|
label := labels.FromStrings("foo", "bar")
|
|
|
|
|
|
// Trigger a compaction to check that it was skipped and
|
|
|
// no new blocks were created when compaction is disabled.
|
|
|
db.DisableCompactions()
|
|
|
app := db.Appender(context.Background())
|
|
|
for i := int64(0); i < 3; i++ {
|
|
|
_, err := app.Append(0, label, i*blockRange, 0)
|
|
|
require.NoError(t, err)
|
|
|
_, err = app.Append(0, label, i*blockRange+1000, 0)
|
|
|
require.NoError(t, err)
|
|
|
}
|
|
|
require.NoError(t, app.Commit())
|
|
|
|
|
|
select {
|
|
|
case db.compactc <- struct{}{}:
|
|
|
default:
|
|
|
}
|
|
|
|
|
|
for x := 0; x < 10; x++ {
|
|
|
if prom_testutil.ToFloat64(db.metrics.compactionsSkipped) > 0.0 {
|
|
|
break
|
|
|
}
|
|
|
time.Sleep(10 * time.Millisecond)
|
|
|
}
|
|
|
|
|
|
require.Greater(t, prom_testutil.ToFloat64(db.metrics.compactionsSkipped), 0.0, "No compaction was skipped after the set timeout.")
|
|
|
require.Empty(t, db.blocks)
|
|
|
|
|
|
// Enable the compaction, trigger it and check that the block is persisted.
|
|
|
db.EnableCompactions()
|
|
|
select {
|
|
|
case db.compactc <- struct{}{}:
|
|
|
default:
|
|
|
}
|
|
|
for x := 0; x < 100; x++ {
|
|
|
if len(db.Blocks()) > 0 {
|
|
|
break
|
|
|
}
|
|
|
time.Sleep(100 * time.Millisecond)
|
|
|
}
|
|
|
require.NotEmpty(t, db.Blocks(), "No block was persisted after the set timeout.")
|
|
|
}
|
|
|
|
|
|
// TestCancelCompactions ensures that when the db is closed
|
|
|
// any running compaction is cancelled to unblock closing the db.
|
|
|
func TestCancelCompactions(t *testing.T) {
|
|
|
tmpdir := t.TempDir()
|
|
|
|
|
|
// Create some blocks to fall within the compaction range.
|
|
|
createBlock(t, tmpdir, genSeries(1, 10000, 0, 1000))
|
|
|
createBlock(t, tmpdir, genSeries(1, 10000, 1000, 2000))
|
|
|
createBlock(t, tmpdir, genSeries(1, 1, 2000, 2001)) // The most recent block is ignored so can be e small one.
|
|
|
|
|
|
// Copy the db so we have an exact copy to compare compaction times.
|
|
|
tmpdirCopy := t.TempDir()
|
|
|
err := fileutil.CopyDirs(tmpdir, tmpdirCopy)
|
|
|
require.NoError(t, err)
|
|
|
|
|
|
// Measure the compaction time without interrupting it.
|
|
|
var timeCompactionUninterrupted time.Duration
|
|
|
{
|
|
|
db, err := open(tmpdir, log.NewNopLogger(), nil, DefaultOptions(), []int64{1, 2000}, nil)
|
|
|
require.NoError(t, err)
|
|
|
require.Len(t, db.Blocks(), 3, "initial block count mismatch")
|
|
|
require.Equal(t, 0.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran), "initial compaction counter mismatch")
|
|
|
db.compactc <- struct{}{} // Trigger a compaction.
|
|
|
for prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.PopulatingBlocks) <= 0 {
|
|
|
time.Sleep(3 * time.Millisecond)
|
|
|
}
|
|
|
|
|
|
start := time.Now()
|
|
|
for prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran) != 1 {
|
|
|
time.Sleep(3 * time.Millisecond)
|
|
|
}
|
|
|
timeCompactionUninterrupted = time.Since(start)
|
|
|
|
|
|
require.NoError(t, db.Close())
|
|
|
}
|
|
|
// Measure the compaction time when closing the db in the middle of compaction.
|
|
|
{
|
|
|
db, err := open(tmpdirCopy, log.NewNopLogger(), nil, DefaultOptions(), []int64{1, 2000}, nil)
|
|
|
require.NoError(t, err)
|
|
|
require.Len(t, db.Blocks(), 3, "initial block count mismatch")
|
|
|
require.Equal(t, 0.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran), "initial compaction counter mismatch")
|
|
|
db.compactc <- struct{}{} // Trigger a compaction.
|
|
|
|
|
|
for prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.PopulatingBlocks) <= 0 {
|
|
|
time.Sleep(3 * time.Millisecond)
|
|
|
}
|
|
|
|
|
|
start := time.Now()
|
|
|
require.NoError(t, db.Close())
|
|
|
actT := time.Since(start)
|
|
|
|
|
|
expT := timeCompactionUninterrupted / 2 // Closing the db in the middle of compaction should less than half the time.
|
|
|
require.Less(t, actT, expT, "closing the db took more than expected. exp: <%v, act: %v", expT, actT)
|
|
|
|
|
|
// Make sure that no blocks were marked as compaction failed.
|
|
|
// This checks that the `context.Canceled` error is properly checked at all levels:
|
|
|
// - tsdb_errors.NewMulti() should have the Is() method implemented for correct checks.
|
|
|
// - callers should check with errors.Is() instead of ==.
|
|
|
readOnlyDB, err := OpenDBReadOnly(tmpdirCopy, log.NewNopLogger())
|
|
|
require.NoError(t, err)
|
|
|
blocks, err := readOnlyDB.Blocks()
|
|
|
require.NoError(t, err)
|
|
|
for i, b := range blocks {
|
|
|
require.Falsef(t, b.Meta().Compaction.Failed, "block %d (%s) should not be marked as compaction failed", i, b.Meta().ULID)
|
|
|
}
|
|
|
require.NoError(t, readOnlyDB.Close())
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// TestDeleteCompactionBlockAfterFailedReload ensures that a failed reloadBlocks immediately after a compaction
|
|
|
// deletes the resulting block to avoid creatings blocks with the same time range.
|
|
|
func TestDeleteCompactionBlockAfterFailedReload(t *testing.T) {
|
|
|
tests := map[string]func(*DB) int{
|
|
|
"Test Head Compaction": func(db *DB) int {
|
|
|
rangeToTriggerCompaction := db.compactor.(*LeveledCompactor).ranges[0]/2*3 - 1
|
|
|
defaultLabel := labels.FromStrings("foo", "bar")
|
|
|
|
|
|
// Add some data to the head that is enough to trigger a compaction.
|
|
|
app := db.Appender(context.Background())
|
|
|
_, err := app.Append(0, defaultLabel, 1, 0)
|
|
|
require.NoError(t, err)
|
|
|
_, err = app.Append(0, defaultLabel, 2, 0)
|
|
|
require.NoError(t, err)
|
|
|
_, err = app.Append(0, defaultLabel, 3+rangeToTriggerCompaction, 0)
|
|
|
require.NoError(t, err)
|
|
|
require.NoError(t, app.Commit())
|
|
|
|
|
|
return 0
|
|
|
},
|
|
|
"Test Block Compaction": func(db *DB) int {
|
|
|
blocks := []*BlockMeta{
|
|
|
{MinTime: 0, MaxTime: 100},
|
|
|
{MinTime: 100, MaxTime: 150},
|
|
|
{MinTime: 150, MaxTime: 200},
|
|
|
}
|
|
|
for _, m := range blocks {
|
|
|
createBlock(t, db.Dir(), genSeries(1, 1, m.MinTime, m.MaxTime))
|
|
|
}
|
|
|
require.NoError(t, db.reload())
|
|
|
require.Equal(t, len(blocks), len(db.Blocks()), "unexpected block count after a reloadBlocks")
|
|
|
|
|
|
return len(blocks)
|
|
|
},
|
|
|
}
|
|
|
|
|
|
for title, bootStrap := range tests {
|
|
|
t.Run(title, func(t *testing.T) {
|
|
|
ctx := context.Background()
|
|
|
|
|
|
db := openTestDB(t, nil, []int64{1, 100})
|
|
|
defer func() {
|
|
|
require.NoError(t, db.Close())
|
|
|
}()
|
|
|
db.DisableCompactions()
|
|
|
|
|
|
expBlocks := bootStrap(db)
|
|
|
|
|
|
// Create a block that will trigger the reloadBlocks to fail.
|
|
|
blockPath := createBlock(t, db.Dir(), genSeries(1, 1, 200, 300))
|
|
|
lastBlockIndex := path.Join(blockPath, indexFilename)
|
|
|
actBlocks, err := blockDirs(db.Dir())
|
|
|
require.NoError(t, err)
|
|
|
require.Equal(t, expBlocks, len(actBlocks)-1) // -1 to exclude the corrupted block.
|
|
|
require.NoError(t, os.RemoveAll(lastBlockIndex)) // Corrupt the block by removing the index file.
|
|
|
|
|
|
require.Equal(t, 0.0, prom_testutil.ToFloat64(db.metrics.reloadsFailed), "initial 'failed db reloadBlocks' count metrics mismatch")
|
|
|
require.Equal(t, 0.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran), "initial `compactions` count metric mismatch")
|
|
|
require.Equal(t, 0.0, prom_testutil.ToFloat64(db.metrics.compactionsFailed), "initial `compactions failed` count metric mismatch")
|
|
|
|
|
|
// Do the compaction and check the metrics.
|
|
|
// Compaction should succeed, but the reloadBlocks should fail and
|
|
|
// the new block created from the compaction should be deleted.
|
|
|
require.Error(t, db.Compact(ctx))
|
|
|
require.Equal(t, 1.0, prom_testutil.ToFloat64(db.metrics.reloadsFailed), "'failed db reloadBlocks' count metrics mismatch")
|
|
|
require.Equal(t, 1.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran), "`compaction` count metric mismatch")
|
|
|
require.Equal(t, 1.0, prom_testutil.ToFloat64(db.metrics.compactionsFailed), "`compactions failed` count metric mismatch")
|
|
|
|
|
|
actBlocks, err = blockDirs(db.Dir())
|
|
|
require.NoError(t, err)
|
|
|
require.Equal(t, expBlocks, len(actBlocks)-1, "block count should be the same as before the compaction") // -1 to exclude the corrupted block.
|
|
|
})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
func TestHeadCompactionWithHistograms(t *testing.T) {
|
|
|
for _, floatTest := range []bool{true, false} {
|
|
|
t.Run(fmt.Sprintf("float=%t", floatTest), func(t *testing.T) {
|
|
|
head, _ := newTestHead(t, DefaultBlockDuration, wlog.CompressionNone, false)
|
|
|
require.NoError(t, head.Init(0))
|
|
|
t.Cleanup(func() {
|
|
|
require.NoError(t, head.Close())
|
|
|
})
|
|
|
|
|
|
minute := func(m int) int64 { return int64(m) * time.Minute.Milliseconds() }
|
|
|
ctx := context.Background()
|
|
|
appendHistogram := func(
|
|
|
lbls labels.Labels, from, to int, h *histogram.Histogram, exp *[]chunks.Sample,
|
|
|
) {
|
|
|
t.Helper()
|
|
|
app := head.Appender(ctx)
|
|
|
for tsMinute := from; tsMinute <= to; tsMinute++ {
|
|
|
var err error
|
|
|
if floatTest {
|
|
|
_, err = app.AppendHistogram(0, lbls, minute(tsMinute), nil, h.ToFloat())
|
|
|
efh := h.ToFloat()
|
|
|
if tsMinute == from {
|
|
|
efh.CounterResetHint = histogram.UnknownCounterReset
|
|
|
} else {
|
|
|
efh.CounterResetHint = histogram.NotCounterReset
|
|
|
}
|
|
|
*exp = append(*exp, sample{t: minute(tsMinute), fh: efh})
|
|
|
} else {
|
|
|
_, err = app.AppendHistogram(0, lbls, minute(tsMinute), h, nil)
|
|
|
eh := h.Copy()
|
|
|
if tsMinute == from {
|
|
|
eh.CounterResetHint = histogram.UnknownCounterReset
|
|
|
} else {
|
|
|
eh.CounterResetHint = histogram.NotCounterReset
|
|
|
}
|
|
|
*exp = append(*exp, sample{t: minute(tsMinute), h: eh})
|
|
|
}
|
|
|
require.NoError(t, err)
|
|
|
}
|
|
|
require.NoError(t, app.Commit())
|
|
|
}
|
|
|
appendFloat := func(lbls labels.Labels, from, to int, exp *[]chunks.Sample) {
|
|
|
t.Helper()
|
|
|
app := head.Appender(ctx)
|
|
|
for tsMinute := from; tsMinute <= to; tsMinute++ {
|
|
|
_, err := app.Append(0, lbls, minute(tsMinute), float64(tsMinute))
|
|
|
require.NoError(t, err)
|
|
|
*exp = append(*exp, sample{t: minute(tsMinute), f: float64(tsMinute)})
|
|
|
}
|
|
|
require.NoError(t, app.Commit())
|
|
|
}
|
|
|
|
|
|
var (
|
|
|
series1 = labels.FromStrings("foo", "bar1")
|
|
|
series2 = labels.FromStrings("foo", "bar2")
|
|
|
series3 = labels.FromStrings("foo", "bar3")
|
|
|
series4 = labels.FromStrings("foo", "bar4")
|
|
|
exp1, exp2, exp3, exp4 []chunks.Sample
|
|
|
)
|
|
|
h := &histogram.Histogram{
|
|
|
Count: 15,
|
|
|
ZeroCount: 4,
|
|
|
ZeroThreshold: 0.001,
|
|
|
Sum: 35.5,
|
|
|
Schema: 1,
|
|
|
PositiveSpans: []histogram.Span{
|
|
|
{Offset: 0, Length: 2},
|
|
|
{Offset: 2, Length: 2},
|
|
|
},
|
|
|
PositiveBuckets: []int64{1, 1, -1, 0},
|
|
|
NegativeSpans: []histogram.Span{
|
|
|
{Offset: 0, Length: 1},
|
|
|
{Offset: 1, Length: 2},
|
|
|
},
|
|
|
NegativeBuckets: []int64{1, 2, -1},
|
|
|
}
|
|
|
|
|
|
// Series with only histograms.
|
|
|
appendHistogram(series1, 100, 105, h, &exp1)
|
|
|
|
|
|
// Series starting with float and then getting histograms.
|
|
|
appendFloat(series2, 100, 102, &exp2)
|
|
|
appendHistogram(series2, 103, 105, h.Copy(), &exp2)
|
|
|
appendFloat(series2, 106, 107, &exp2)
|
|
|
appendHistogram(series2, 108, 109, h.Copy(), &exp2)
|
|
|
|
|
|
// Series starting with histogram and then getting float.
|
|
|
appendHistogram(series3, 101, 103, h.Copy(), &exp3)
|
|
|
appendFloat(series3, 104, 106, &exp3)
|
|
|
appendHistogram(series3, 107, 108, h.Copy(), &exp3)
|
|
|
appendFloat(series3, 109, 110, &exp3)
|
|
|
|
|
|
// A float only series.
|
|
|
appendFloat(series4, 100, 102, &exp4)
|
|
|
|
|
|
// Compaction.
|
|
|
mint := head.MinTime()
|
|
|
maxt := head.MaxTime() + 1 // Block intervals are half-open: [b.MinTime, b.MaxTime).
|
|
|
compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{DefaultBlockDuration}, chunkenc.NewPool(), nil)
|
|
|
require.NoError(t, err)
|
|
|
id, err := compactor.Write(head.opts.ChunkDirRoot, head, mint, maxt, nil)
|
|
|
require.NoError(t, err)
|
|
|
require.NotEqual(t, ulid.ULID{}, id)
|
|
|
|
|
|
// Open the block and query it and check the histograms.
|
|
|
block, err := OpenBlock(nil, path.Join(head.opts.ChunkDirRoot, id.String()), nil)
|
|
|
require.NoError(t, err)
|
|
|
t.Cleanup(func() {
|
|
|
require.NoError(t, block.Close())
|
|
|
})
|
|
|
|
|
|
q, err := NewBlockQuerier(block, block.MinTime(), block.MaxTime())
|
|
|
require.NoError(t, err)
|
|
|
|
|
|
actHists := query(t, q, labels.MustNewMatcher(labels.MatchRegexp, "foo", "bar.*"))
|
|
|
require.Equal(t, map[string][]chunks.Sample{
|
|
|
series1.String(): exp1,
|
|
|
series2.String(): exp2,
|
|
|
series3.String(): exp3,
|
|
|
series4.String(): exp4,
|
|
|
}, actHists)
|
|
|
})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// Depending on numSeriesPerSchema, it can take few gigs of memory;
|
|
|
// the test adds all samples to appender before committing instead of
|
|
|
// buffering the writes to make it run faster.
|
|
|
func TestSparseHistogramSpaceSavings(t *testing.T) {
|
|
|
t.Skip()
|
|
|
|
|
|
cases := []struct {
|
|
|
numSeriesPerSchema int
|
|
|
numBuckets int
|
|
|
numSpans int
|
|
|
gapBetweenSpans int
|
|
|
}{
|
|
|
{1, 15, 1, 0},
|
|
|
{1, 50, 1, 0},
|
|
|
{1, 100, 1, 0},
|
|
|
{1, 15, 3, 5},
|
|
|
{1, 50, 3, 3},
|
|
|
{1, 100, 3, 2},
|
|
|
{100, 15, 1, 0},
|
|
|
{100, 50, 1, 0},
|
|
|
{100, 100, 1, 0},
|
|
|
{100, 15, 3, 5},
|
|
|
{100, 50, 3, 3},
|
|
|
{100, 100, 3, 2},
|
|
|
}
|
|
|
|
|
|
type testSummary struct {
|
|
|
oldBlockTotalSeries int
|
|
|
oldBlockIndexSize int64
|
|
|
oldBlockChunksSize int64
|
|
|
oldBlockTotalSize int64
|
|
|
|
|
|
sparseBlockTotalSeries int
|
|
|
sparseBlockIndexSize int64
|
|
|
sparseBlockChunksSize int64
|
|
|
sparseBlockTotalSize int64
|
|
|
|
|
|
numBuckets int
|
|
|
numSpans int
|
|
|
gapBetweenSpans int
|
|
|
}
|
|
|
|
|
|
var summaries []testSummary
|
|
|
|
|
|
allSchemas := []int{-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8}
|
|
|
schemaDescription := []string{"minus_4", "minus_3", "minus_2", "minus_1", "0", "1", "2", "3", "4", "5", "6", "7", "8"}
|
|
|
numHistograms := 120 * 4 // 15s scrape interval.
|
|
|
timeStep := DefaultBlockDuration / int64(numHistograms)
|
|
|
for _, c := range cases {
|
|
|
t.Run(
|
|
|
fmt.Sprintf("series=%d,span=%d,gap=%d,buckets=%d",
|
|
|
len(allSchemas)*c.numSeriesPerSchema,
|
|
|
c.numSpans,
|
|
|
c.gapBetweenSpans,
|
|
|
c.numBuckets,
|
|
|
),
|
|
|
func(t *testing.T) {
|
|
|
oldHead, _ := newTestHead(t, DefaultBlockDuration, wlog.CompressionNone, false)
|
|
|
t.Cleanup(func() {
|
|
|
require.NoError(t, oldHead.Close())
|
|
|
})
|
|
|
sparseHead, _ := newTestHead(t, DefaultBlockDuration, wlog.CompressionNone, false)
|
|
|
t.Cleanup(func() {
|
|
|
require.NoError(t, sparseHead.Close())
|
|
|
})
|
|
|
|
|
|
var allSparseSeries []struct {
|
|
|
baseLabels labels.Labels
|
|
|
hists []*histogram.Histogram
|
|
|
}
|
|
|
|
|
|
for sid, schema := range allSchemas {
|
|
|
for i := 0; i < c.numSeriesPerSchema; i++ {
|
|
|
lbls := labels.FromStrings(
|
|
|
"__name__", fmt.Sprintf("rpc_durations_%d_histogram_seconds", i),
|
|
|
"instance", "localhost:8080",
|
|
|
"job", fmt.Sprintf("sparse_histogram_schema_%s", schemaDescription[sid]),
|
|
|
)
|
|
|
allSparseSeries = append(allSparseSeries, struct {
|
|
|
baseLabels labels.Labels
|
|
|
hists []*histogram.Histogram
|
|
|
}{baseLabels: lbls, hists: generateCustomHistograms(numHistograms, c.numBuckets, c.numSpans, c.gapBetweenSpans, schema)})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
oldApp := oldHead.Appender(context.Background())
|
|
|
sparseApp := sparseHead.Appender(context.Background())
|
|
|
numOldSeriesPerHistogram := 0
|
|
|
|
|
|
var oldULID ulid.ULID
|
|
|
var sparseULID ulid.ULID
|
|
|
|
|
|
var wg sync.WaitGroup
|
|
|
|
|
|
wg.Add(1)
|
|
|
go func() {
|
|
|
defer wg.Done()
|
|
|
|
|
|
// Ingest sparse histograms.
|
|
|
for _, ah := range allSparseSeries {
|
|
|
var (
|
|
|
ref storage.SeriesRef
|
|
|
err error
|
|
|
)
|
|
|
for i := 0; i < numHistograms; i++ {
|
|
|
ts := int64(i) * timeStep
|
|
|
ref, err = sparseApp.AppendHistogram(ref, ah.baseLabels, ts, ah.hists[i], nil)
|
|
|
require.NoError(t, err)
|
|
|
}
|
|
|
}
|
|
|
require.NoError(t, sparseApp.Commit())
|
|
|
|
|
|
// Sparse head compaction.
|
|
|
mint := sparseHead.MinTime()
|
|
|
maxt := sparseHead.MaxTime() + 1 // Block intervals are half-open: [b.MinTime, b.MaxTime).
|
|
|
compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{DefaultBlockDuration}, chunkenc.NewPool(), nil)
|
|
|
require.NoError(t, err)
|
|
|
sparseULID, err = compactor.Write(sparseHead.opts.ChunkDirRoot, sparseHead, mint, maxt, nil)
|
|
|
require.NoError(t, err)
|
|
|
require.NotEqual(t, ulid.ULID{}, sparseULID)
|
|
|
}()
|
|
|
|
|
|
wg.Add(1)
|
|
|
go func() {
|
|
|
defer wg.Done()
|
|
|
|
|
|
// Ingest histograms the old way.
|
|
|
for _, ah := range allSparseSeries {
|
|
|
refs := make([]storage.SeriesRef, c.numBuckets+((c.numSpans-1)*c.gapBetweenSpans))
|
|
|
for i := 0; i < numHistograms; i++ {
|
|
|
ts := int64(i) * timeStep
|
|
|
|
|
|
h := ah.hists[i]
|
|
|
|
|
|
numOldSeriesPerHistogram = 0
|
|
|
it := h.CumulativeBucketIterator()
|
|
|
itIdx := 0
|
|
|
var err error
|
|
|
for it.Next() {
|
|
|
numOldSeriesPerHistogram++
|
|
|
b := it.At()
|
|
|
lbls := labels.NewBuilder(ah.baseLabels).Set("le", fmt.Sprintf("%.16f", b.Upper)).Labels()
|
|
|
refs[itIdx], err = oldApp.Append(refs[itIdx], lbls, ts, float64(b.Count))
|
|
|
require.NoError(t, err)
|
|
|
itIdx++
|
|
|
}
|
|
|
baseName := ah.baseLabels.Get(labels.MetricName)
|
|
|
// _count metric.
|
|
|
countLbls := labels.NewBuilder(ah.baseLabels).Set(labels.MetricName, baseName+"_count").Labels()
|
|
|
_, err = oldApp.Append(0, countLbls, ts, float64(h.Count))
|
|
|
require.NoError(t, err)
|
|
|
numOldSeriesPerHistogram++
|
|
|
|
|
|
// _sum metric.
|
|
|
sumLbls := labels.NewBuilder(ah.baseLabels).Set(labels.MetricName, baseName+"_sum").Labels()
|
|
|
_, err = oldApp.Append(0, sumLbls, ts, h.Sum)
|
|
|
require.NoError(t, err)
|
|
|
numOldSeriesPerHistogram++
|
|
|
}
|
|
|
}
|
|
|
|
|
|
require.NoError(t, oldApp.Commit())
|
|
|
|
|
|
// Old head compaction.
|
|
|
mint := oldHead.MinTime()
|
|
|
maxt := oldHead.MaxTime() + 1 // Block intervals are half-open: [b.MinTime, b.MaxTime).
|
|
|
compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{DefaultBlockDuration}, chunkenc.NewPool(), nil)
|
|
|
require.NoError(t, err)
|
|
|
oldULID, err = compactor.Write(oldHead.opts.ChunkDirRoot, oldHead, mint, maxt, nil)
|
|
|
require.NoError(t, err)
|
|
|
require.NotEqual(t, ulid.ULID{}, oldULID)
|
|
|
}()
|
|
|
|
|
|
wg.Wait()
|
|
|
|
|
|
oldBlockDir := filepath.Join(oldHead.opts.ChunkDirRoot, oldULID.String())
|
|
|
sparseBlockDir := filepath.Join(sparseHead.opts.ChunkDirRoot, sparseULID.String())
|
|
|
|
|
|
oldSize, err := fileutil.DirSize(oldBlockDir)
|
|
|
require.NoError(t, err)
|
|
|
oldIndexSize, err := fileutil.DirSize(filepath.Join(oldBlockDir, "index"))
|
|
|
require.NoError(t, err)
|
|
|
oldChunksSize, err := fileutil.DirSize(filepath.Join(oldBlockDir, "chunks"))
|
|
|
require.NoError(t, err)
|
|
|
|
|
|
sparseSize, err := fileutil.DirSize(sparseBlockDir)
|
|
|
require.NoError(t, err)
|
|
|
sparseIndexSize, err := fileutil.DirSize(filepath.Join(sparseBlockDir, "index"))
|
|
|
require.NoError(t, err)
|
|
|
sparseChunksSize, err := fileutil.DirSize(filepath.Join(sparseBlockDir, "chunks"))
|
|
|
require.NoError(t, err)
|
|
|
|
|
|
summaries = append(summaries, testSummary{
|
|
|
oldBlockTotalSeries: len(allSchemas) * c.numSeriesPerSchema * numOldSeriesPerHistogram,
|
|
|
oldBlockIndexSize: oldIndexSize,
|
|
|
oldBlockChunksSize: oldChunksSize,
|
|
|
oldBlockTotalSize: oldSize,
|
|
|
sparseBlockTotalSeries: len(allSchemas) * c.numSeriesPerSchema,
|
|
|
sparseBlockIndexSize: sparseIndexSize,
|
|
|
sparseBlockChunksSize: sparseChunksSize,
|
|
|
sparseBlockTotalSize: sparseSize,
|
|
|
numBuckets: c.numBuckets,
|
|
|
numSpans: c.numSpans,
|
|
|
gapBetweenSpans: c.gapBetweenSpans,
|
|
|
})
|
|
|
})
|
|
|
}
|
|
|
|
|
|
for _, s := range summaries {
|
|
|
fmt.Printf(`
|
|
|
Meta: NumBuckets=%d, NumSpans=%d, GapBetweenSpans=%d
|
|
|
Old Block: NumSeries=%d, IndexSize=%d, ChunksSize=%d, TotalSize=%d
|
|
|
Sparse Block: NumSeries=%d, IndexSize=%d, ChunksSize=%d, TotalSize=%d
|
|
|
Savings: Index=%.2f%%, Chunks=%.2f%%, Total=%.2f%%
|
|
|
`,
|
|
|
s.numBuckets, s.numSpans, s.gapBetweenSpans,
|
|
|
s.oldBlockTotalSeries, s.oldBlockIndexSize, s.oldBlockChunksSize, s.oldBlockTotalSize,
|
|
|
s.sparseBlockTotalSeries, s.sparseBlockIndexSize, s.sparseBlockChunksSize, s.sparseBlockTotalSize,
|
|
|
100*(1-float64(s.sparseBlockIndexSize)/float64(s.oldBlockIndexSize)),
|
|
|
100*(1-float64(s.sparseBlockChunksSize)/float64(s.oldBlockChunksSize)),
|
|
|
100*(1-float64(s.sparseBlockTotalSize)/float64(s.oldBlockTotalSize)),
|
|
|
)
|
|
|
}
|
|
|
}
|
|
|
|
|
|
func generateCustomHistograms(numHists, numBuckets, numSpans, gapBetweenSpans, schema int) (r []*histogram.Histogram) {
|
|
|
// First histogram with all the settings.
|
|
|
h := &histogram.Histogram{
|
|
|
Sum: 1000 * rand.Float64(),
|
|
|
Schema: int32(schema),
|
|
|
}
|
|
|
|
|
|
// Generate spans.
|
|
|
h.PositiveSpans = []histogram.Span{
|
|
|
{Offset: int32(rand.Intn(10)), Length: uint32(numBuckets)},
|
|
|
}
|
|
|
if numSpans > 1 {
|
|
|
spanWidth := numBuckets / numSpans
|
|
|
// First span gets those additional buckets.
|
|
|
h.PositiveSpans[0].Length = uint32(spanWidth + (numBuckets - spanWidth*numSpans))
|
|
|
for i := 0; i < numSpans-1; i++ {
|
|
|
h.PositiveSpans = append(h.PositiveSpans, histogram.Span{Offset: int32(rand.Intn(gapBetweenSpans) + 1), Length: uint32(spanWidth)})
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// Generate buckets.
|
|
|
v := int64(rand.Intn(30) + 1)
|
|
|
h.PositiveBuckets = []int64{v}
|
|
|
count := v
|
|
|
firstHistValues := []int64{v}
|
|
|
for i := 0; i < numBuckets-1; i++ {
|
|
|
delta := int64(rand.Intn(20))
|
|
|
if rand.Int()%2 == 0 && firstHistValues[len(firstHistValues)-1] > delta {
|
|
|
// Randomly making delta negative such that curr value will be >0.
|
|
|
delta = -delta
|
|
|
}
|
|
|
|
|
|
currVal := firstHistValues[len(firstHistValues)-1] + delta
|
|
|
count += currVal
|
|
|
firstHistValues = append(firstHistValues, currVal)
|
|
|
|
|
|
h.PositiveBuckets = append(h.PositiveBuckets, delta)
|
|
|
}
|
|
|
|
|
|
h.Count = uint64(count)
|
|
|
|
|
|
r = append(r, h)
|
|
|
|
|
|
// Remaining histograms with same spans but changed bucket values.
|
|
|
for j := 0; j < numHists-1; j++ {
|
|
|
newH := h.Copy()
|
|
|
newH.Sum = float64(j+1) * 1000 * rand.Float64()
|
|
|
|
|
|
// Generate buckets.
|
|
|
count := int64(0)
|
|
|
currVal := int64(0)
|
|
|
for i := range newH.PositiveBuckets {
|
|
|
delta := int64(rand.Intn(10))
|
|
|
if i == 0 {
|
|
|
newH.PositiveBuckets[i] += delta
|
|
|
currVal = newH.PositiveBuckets[i]
|
|
|
continue
|
|
|
}
|
|
|
currVal += newH.PositiveBuckets[i]
|
|
|
if rand.Int()%2 == 0 && (currVal-delta) > firstHistValues[i] {
|
|
|
// Randomly making delta negative such that curr value will be >0
|
|
|
// and above the previous count since we are not doing resets here.
|
|
|
delta = -delta
|
|
|
}
|
|
|
newH.PositiveBuckets[i] += delta
|
|
|
currVal += delta
|
|
|
count += currVal
|
|
|
}
|
|
|
|
|
|
newH.Count = uint64(count)
|
|
|
|
|
|
r = append(r, newH)
|
|
|
h = newH
|
|
|
}
|
|
|
|
|
|
return r
|
|
|
}
|
|
|
|
|
|
func TestCompactBlockMetas(t *testing.T) {
|
|
|
parent1 := ulid.MustNew(100, nil)
|
|
|
parent2 := ulid.MustNew(200, nil)
|
|
|
parent3 := ulid.MustNew(300, nil)
|
|
|
parent4 := ulid.MustNew(400, nil)
|
|
|
|
|
|
input := []*BlockMeta{
|
|
|
{ULID: parent1, MinTime: 1000, MaxTime: 2000, Compaction: BlockMetaCompaction{Level: 2, Sources: []ulid.ULID{ulid.MustNew(1, nil), ulid.MustNew(10, nil)}}},
|
|
|
{ULID: parent2, MinTime: 200, MaxTime: 500, Compaction: BlockMetaCompaction{Level: 1}},
|
|
|
{ULID: parent3, MinTime: 500, MaxTime: 2500, Compaction: BlockMetaCompaction{Level: 3, Sources: []ulid.ULID{ulid.MustNew(5, nil), ulid.MustNew(6, nil)}}},
|
|
|
{ULID: parent4, MinTime: 100, MaxTime: 900, Compaction: BlockMetaCompaction{Level: 1}},
|
|
|
}
|
|
|
|
|
|
outUlid := ulid.MustNew(1000, nil)
|
|
|
output := CompactBlockMetas(outUlid, input...)
|
|
|
|
|
|
expected := &BlockMeta{
|
|
|
ULID: outUlid,
|
|
|
MinTime: 100,
|
|
|
MaxTime: 2500,
|
|
|
Stats: BlockStats{},
|
|
|
Compaction: BlockMetaCompaction{
|
|
|
Level: 4,
|
|
|
Sources: []ulid.ULID{ulid.MustNew(1, nil), ulid.MustNew(5, nil), ulid.MustNew(6, nil), ulid.MustNew(10, nil)},
|
|
|
Parents: []BlockDesc{
|
|
|
{ULID: parent1, MinTime: 1000, MaxTime: 2000},
|
|
|
{ULID: parent2, MinTime: 200, MaxTime: 500},
|
|
|
{ULID: parent3, MinTime: 500, MaxTime: 2500},
|
|
|
{ULID: parent4, MinTime: 100, MaxTime: 900},
|
|
|
},
|
|
|
},
|
|
|
}
|
|
|
require.Equal(t, expected, output)
|
|
|
}
|
