prometheus/promql/promqltest/test.go

1470 lines
40 KiB
Go
Raw Normal View History

// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package promqltest
import (
"context"
"embed"
"errors"
"fmt"
"io/fs"
"math"
"sort"
"strconv"
"strings"
"testing"
"time"
"github.com/grafana/regexp"
"github.com/prometheus/common/model"
"github.com/stretchr/testify/require"
"github.com/prometheus/prometheus/model/exemplar"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/model/timestamp"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/promql/parser"
"github.com/prometheus/prometheus/promql/parser/posrange"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/util/almost"
"github.com/prometheus/prometheus/util/teststorage"
2015-05-29 04:30:30 -07:00
"github.com/prometheus/prometheus/util/testutil"
)
var (
patSpace = regexp.MustCompile("[\t ]+")
patLoad = regexp.MustCompile(`^load(?:_(with_nhcb))?\s+(.+?)$`)
patEvalInstant = regexp.MustCompile(`^eval(?:_(fail|warn|ordered))?\s+instant\s+(?:at\s+(.+?))?\s+(.+)$`)
patEvalRange = regexp.MustCompile(`^eval(?:_(fail|warn))?\s+range\s+from\s+(.+)\s+to\s+(.+)\s+step\s+(.+?)\s+(.+)$`)
)
const (
defaultEpsilon = 0.000001 // Relative error allowed for sample values.
DefaultMaxSamplesPerQuery = 10000
)
type TBRun interface {
testing.TB
Run(string, func(*testing.T)) bool
}
var testStartTime = time.Unix(0, 0).UTC()
// LoadedStorage returns storage with generated data using the provided load statements.
// Non-load statements will cause test errors.
func LoadedStorage(t testutil.T, input string) *teststorage.TestStorage {
test, err := newTest(t, input)
require.NoError(t, err)
for _, cmd := range test.cmds {
switch cmd.(type) {
case *loadCmd:
require.NoError(t, test.exec(cmd, nil))
default:
t.Errorf("only 'load' commands accepted, got '%s'", cmd)
}
}
return test.storage
}
// NewTestEngine creates a promql.Engine with enablePerStepStats, lookbackDelta and maxSamples, and returns it.
func NewTestEngine(tb testing.TB, enablePerStepStats bool, lookbackDelta time.Duration, maxSamples int) *promql.Engine {
return NewTestEngineWithOpts(tb, promql.EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: maxSamples,
Timeout: 100 * time.Second,
NoStepSubqueryIntervalFn: func(int64) int64 { return durationMilliseconds(1 * time.Minute) },
EnableAtModifier: true,
EnableNegativeOffset: true,
EnablePerStepStats: enablePerStepStats,
LookbackDelta: lookbackDelta,
PromQL engine: Delay deletion of __name__ label to the end of the query evaluation (#14477) PromQL engine: Delay deletion of __name__ label to the end of the query evaluation - This change allows optionally preserving the `__name__` label via the `label_replace` and `label_join` functions, and helps prevent the dreaded "vector cannot contain metrics with the same labelset" error. - The implementation extends the `Series` and `Sample` structs with a boolean flag indicating whether the `__name__` label should be deleted at the end of the query evaluation. - The `label_replace` and `label_join` functions can still access the value of the `__name__` label, even if it has been previously marked for deletion. If `__name__` is used as target label, it won't be dropped at the end of the query evaluation. - Fixes https://github.com/prometheus/prometheus/issues/11397 - See https://github.com/jcreixell/prometheus/pull/2 for previous discussion, including the decision to create this PR and benchmark it before considering other alternatives (like refactoring `labels.Labels`). - See https://github.com/jcreixell/prometheus/pull/1 for an alternative implementation using a special label instead of boolean flags. - Note: a feature flag `promql-delayed-name-removal` has been added as it changes the behavior of some "weird" queries (see https://github.com/prometheus/prometheus/issues/11397#issuecomment-1451998792) Example (this always fails, as `__name__` is being dropped by `count_over_time`): ``` count_over_time({__name__!=""}[1m]) => Error executing query: vector cannot contain metrics with the same labelset ``` Before: ``` label_replace(count_over_time({__name__!=""}[1m]), "__name__", "count_$1", "__name__", "(.+)") => Error executing query: vector cannot contain metrics with the same labelset ``` After: ``` label_replace(count_over_time({__name__!=""}[1m]), "__name__", "count_$1", "__name__", "(.+)") => count_go_gc_cycles_automatic_gc_cycles_total{instance="localhost:9090", job="prometheus"} 1 count_go_gc_cycles_forced_gc_cycles_total{instance="localhost:9090", job="prometheus"} 1 ... ``` Signed-off-by: Jorge Creixell <jcreixell@gmail.com> --------- Signed-off-by: Jorge Creixell <jcreixell@gmail.com> Signed-off-by: Björn Rabenstein <github@rabenste.in>
2024-08-29 06:50:39 -07:00
EnableDelayedNameRemoval: true,
})
}
// NewTestEngineWithOpts creates a promql.Engine with opts and returns it.
func NewTestEngineWithOpts(tb testing.TB, opts promql.EngineOpts) *promql.Engine {
tb.Helper()
ng := promql.NewEngine(opts)
tb.Cleanup(func() {
require.NoError(tb, ng.Close())
})
return ng
}
// RunBuiltinTests runs an acceptance test suite against the provided engine.
func RunBuiltinTests(t TBRun, engine promql.QueryEngine) {
t.Cleanup(func() { parser.EnableExperimentalFunctions = false })
parser.EnableExperimentalFunctions = true
files, err := fs.Glob(testsFs, "*/*.test")
require.NoError(t, err)
for _, fn := range files {
t.Run(fn, func(t *testing.T) {
content, err := fs.ReadFile(testsFs, fn)
require.NoError(t, err)
RunTest(t, string(content), engine)
})
}
}
// RunTest parses and runs the test against the provided engine.
func RunTest(t testutil.T, input string, engine promql.QueryEngine) {
require.NoError(t, runTest(t, input, engine))
}
func runTest(t testutil.T, input string, engine promql.QueryEngine) error {
test, err := newTest(t, input)
// Why do this before checking err? newTest() can create the test storage and then return an error,
// and we want to make sure to clean that up to avoid leaking goroutines.
defer func() {
if test == nil {
return
}
if test.storage != nil {
test.storage.Close()
}
if test.cancelCtx != nil {
test.cancelCtx()
}
}()
if err != nil {
return err
}
for _, cmd := range test.cmds {
if err := test.exec(cmd, engine); err != nil {
// TODO(fabxc): aggregate command errors, yield diffs for result
// comparison errors.
return err
}
}
return nil
}
// test is a sequence of read and write commands that are run
// against a test storage.
type test struct {
2015-05-23 03:23:33 -07:00
testutil.T
cmds []testCommand
storage *teststorage.TestStorage
2016-12-25 02:34:22 -08:00
context context.Context
cancelCtx context.CancelFunc
}
// newTest returns an initialized empty Test.
func newTest(t testutil.T, input string) (*test, error) {
test := &test{
T: t,
cmds: []testCommand{},
}
err := test.parse(input)
test.clear()
return test, err
}
//go:embed testdata
var testsFs embed.FS
func raise(line int, format string, v ...interface{}) error {
return &parser.ParseErr{
LineOffset: line,
Err: fmt.Errorf(format, v...),
}
}
func parseLoad(lines []string, i int) (int, *loadCmd, error) {
if !patLoad.MatchString(lines[i]) {
return i, nil, raise(i, "invalid load command. (load[_with_nhcb] <step:duration>)")
}
parts := patLoad.FindStringSubmatch(lines[i])
var (
withNHCB = parts[1] == "with_nhcb"
step = parts[2]
)
gap, err := model.ParseDuration(step)
if err != nil {
return i, nil, raise(i, "invalid step definition %q: %s", step, err)
}
cmd := newLoadCmd(time.Duration(gap), withNHCB)
for i+1 < len(lines) {
i++
defLine := lines[i]
if len(defLine) == 0 {
i--
break
}
metric, vals, err := parseSeries(defLine, i)
if err != nil {
return i, nil, err
}
cmd.set(metric, vals...)
}
return i, cmd, nil
}
func parseSeries(defLine string, line int) (labels.Labels, []parser.SequenceValue, error) {
metric, vals, err := parser.ParseSeriesDesc(defLine)
if err != nil {
parser.EnrichParseError(err, func(parseErr *parser.ParseErr) {
parseErr.LineOffset = line
})
return labels.Labels{}, nil, err
}
return metric, vals, nil
}
func (t *test) parseEval(lines []string, i int) (int, *evalCmd, error) {
instantParts := patEvalInstant.FindStringSubmatch(lines[i])
rangeParts := patEvalRange.FindStringSubmatch(lines[i])
if instantParts == nil && rangeParts == nil {
return i, nil, raise(i, "invalid evaluation command. Must be either 'eval[_fail|_warn|_ordered] instant [at <offset:duration>] <query>' or 'eval[_fail|_warn] range from <from> to <to> step <step> <query>'")
}
isInstant := instantParts != nil
var mod string
var expr string
if isInstant {
mod = instantParts[1]
expr = instantParts[3]
} else {
mod = rangeParts[1]
expr = rangeParts[5]
}
_, err := parser.ParseExpr(expr)
if err != nil {
parser.EnrichParseError(err, func(parseErr *parser.ParseErr) {
parseErr.LineOffset = i
posOffset := posrange.Pos(strings.Index(lines[i], expr))
parseErr.PositionRange.Start += posOffset
parseErr.PositionRange.End += posOffset
parseErr.Query = lines[i]
})
return i, nil, err
}
formatErr := func(format string, args ...any) error {
combinedArgs := []any{expr, i + 1}
combinedArgs = append(combinedArgs, args...)
return fmt.Errorf("error in eval %s (line %v): "+format, combinedArgs...)
}
var cmd *evalCmd
if isInstant {
at := instantParts[2]
offset, err := model.ParseDuration(at)
if err != nil {
return i, nil, formatErr("invalid timestamp definition %q: %s", at, err)
}
ts := testStartTime.Add(time.Duration(offset))
cmd = newInstantEvalCmd(expr, ts, i+1)
} else {
from := rangeParts[2]
to := rangeParts[3]
step := rangeParts[4]
parsedFrom, err := model.ParseDuration(from)
if err != nil {
return i, nil, formatErr("invalid start timestamp definition %q: %s", from, err)
}
parsedTo, err := model.ParseDuration(to)
if err != nil {
return i, nil, formatErr("invalid end timestamp definition %q: %s", to, err)
}
if parsedTo < parsedFrom {
return i, nil, formatErr("invalid test definition, end timestamp (%s) is before start timestamp (%s)", to, from)
}
parsedStep, err := model.ParseDuration(step)
if err != nil {
return i, nil, formatErr("invalid step definition %q: %s", step, err)
}
cmd = newRangeEvalCmd(expr, testStartTime.Add(time.Duration(parsedFrom)), testStartTime.Add(time.Duration(parsedTo)), time.Duration(parsedStep), i+1)
}
switch mod {
case "ordered":
// Ordered results are not supported for range queries, but the regex for range query commands does not allow
// asserting an ordered result, so we don't need to do any error checking here.
cmd.ordered = true
case "fail":
cmd.fail = true
case "warn":
cmd.warn = true
}
for j := 1; i+1 < len(lines); j++ {
i++
defLine := lines[i]
if len(defLine) == 0 {
i--
break
}
if cmd.fail && strings.HasPrefix(defLine, "expected_fail_message") {
cmd.expectedFailMessage = strings.TrimSpace(strings.TrimPrefix(defLine, "expected_fail_message"))
break
}
if cmd.fail && strings.HasPrefix(defLine, "expected_fail_regexp") {
pattern := strings.TrimSpace(strings.TrimPrefix(defLine, "expected_fail_regexp"))
cmd.expectedFailRegexp, err = regexp.Compile(pattern)
if err != nil {
return i, nil, formatErr("invalid regexp '%s' for expected_fail_regexp: %w", pattern, err)
}
break
}
if f, err := parseNumber(defLine); err == nil {
cmd.expect(0, parser.SequenceValue{Value: f})
break
}
metric, vals, err := parseSeries(defLine, i)
if err != nil {
return i, nil, err
}
// Currently, we are not expecting any matrices.
if len(vals) > 1 && isInstant {
return i, nil, formatErr("expecting multiple values in instant evaluation not allowed")
}
cmd.expectMetric(j, metric, vals...)
}
return i, cmd, nil
}
// getLines returns trimmed lines after removing the comments.
func getLines(input string) []string {
lines := strings.Split(input, "\n")
for i, l := range lines {
l = strings.TrimSpace(l)
if strings.HasPrefix(l, "#") {
l = ""
}
lines[i] = l
}
return lines
}
// parse the given command sequence and appends it to the test.
func (t *test) parse(input string) error {
lines := getLines(input)
var err error
// Scan for steps line by line.
for i := 0; i < len(lines); i++ {
l := lines[i]
if len(l) == 0 {
continue
}
var cmd testCommand
switch c := strings.ToLower(patSpace.Split(l, 2)[0]); {
case c == "clear":
cmd = &clearCmd{}
case strings.HasPrefix(c, "load"):
i, cmd, err = parseLoad(lines, i)
case strings.HasPrefix(c, "eval"):
i, cmd, err = t.parseEval(lines, i)
default:
return raise(i, "invalid command %q", l)
}
if err != nil {
return err
}
t.cmds = append(t.cmds, cmd)
}
return nil
}
// testCommand is an interface that ensures that only the package internal
// types can be a valid command for a test.
type testCommand interface {
testCmd()
}
func (*clearCmd) testCmd() {}
func (*loadCmd) testCmd() {}
func (*evalCmd) testCmd() {}
// loadCmd is a command that loads sequences of sample values for specific
// metrics into the storage.
type loadCmd struct {
Add Exemplar Remote Write support (#8296) * Write exemplars to the WAL and send them over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Update example for exemplars, print data in a more obvious format. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add metrics for remote write of exemplars. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Fix incorrect slices passed to send in remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * We need to unregister the new metrics. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> * Order of exemplar append vs write exemplar to WAL needs to change. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Several fixes to prevent sending uninitialized or incorrect samples with an exemplar. Fix dropping exemplar for missing series. Add tests for queue_manager sending exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Store both samples and exemplars in the same timeseries buffer to remove the alloc when building final request, keep sub-slices in separate buffers for re-use Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Condense sample/exemplar delivery tests to parameterized sub-tests Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename test methods for clarity now that they also handle exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename counter variable. Fix instances where metrics were not updated correctly Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Add exemplars to LoadWAL benchmark Signed-off-by: Callum Styan <callumstyan@gmail.com> * last exemplars timestamp metric needs to convert value to seconds with ms precision Signed-off-by: Callum Styan <callumstyan@gmail.com> * Process exemplar records in a separate go routine when loading the WAL. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments related to clarifying comments and variable names. Also refactor sample/exemplar to enqueue prompb types. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Regenerate types proto with comments, update protoc version again. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Put remote write of exemplars behind a feature flag. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address some of Ganesh's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Move exemplar remote write feature flag to a config file field. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address Bartek's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Don't allocate exemplar buffers in queue_manager if we're not going to send exemplars over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add ValidateExemplar function, validate exemplars when appending to head and log them all to WAL before adding them to exemplar storage. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address more reivew comments from Ganesh. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add exemplar total label length check. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address a few last review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> Co-authored-by: Martin Disibio <mdisibio@gmail.com>
2021-05-06 13:53:52 -07:00
gap time.Duration
metrics map[uint64]labels.Labels
defs map[uint64][]promql.Sample
Add Exemplar Remote Write support (#8296) * Write exemplars to the WAL and send them over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Update example for exemplars, print data in a more obvious format. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add metrics for remote write of exemplars. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Fix incorrect slices passed to send in remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * We need to unregister the new metrics. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> * Order of exemplar append vs write exemplar to WAL needs to change. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Several fixes to prevent sending uninitialized or incorrect samples with an exemplar. Fix dropping exemplar for missing series. Add tests for queue_manager sending exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Store both samples and exemplars in the same timeseries buffer to remove the alloc when building final request, keep sub-slices in separate buffers for re-use Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Condense sample/exemplar delivery tests to parameterized sub-tests Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename test methods for clarity now that they also handle exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename counter variable. Fix instances where metrics were not updated correctly Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Add exemplars to LoadWAL benchmark Signed-off-by: Callum Styan <callumstyan@gmail.com> * last exemplars timestamp metric needs to convert value to seconds with ms precision Signed-off-by: Callum Styan <callumstyan@gmail.com> * Process exemplar records in a separate go routine when loading the WAL. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments related to clarifying comments and variable names. Also refactor sample/exemplar to enqueue prompb types. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Regenerate types proto with comments, update protoc version again. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Put remote write of exemplars behind a feature flag. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address some of Ganesh's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Move exemplar remote write feature flag to a config file field. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address Bartek's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Don't allocate exemplar buffers in queue_manager if we're not going to send exemplars over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add ValidateExemplar function, validate exemplars when appending to head and log them all to WAL before adding them to exemplar storage. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address more reivew comments from Ganesh. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add exemplar total label length check. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address a few last review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> Co-authored-by: Martin Disibio <mdisibio@gmail.com>
2021-05-06 13:53:52 -07:00
exemplars map[uint64][]exemplar.Exemplar
withNHCB bool
}
func newLoadCmd(gap time.Duration, withNHCB bool) *loadCmd {
return &loadCmd{
Add Exemplar Remote Write support (#8296) * Write exemplars to the WAL and send them over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Update example for exemplars, print data in a more obvious format. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add metrics for remote write of exemplars. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Fix incorrect slices passed to send in remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * We need to unregister the new metrics. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> * Order of exemplar append vs write exemplar to WAL needs to change. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Several fixes to prevent sending uninitialized or incorrect samples with an exemplar. Fix dropping exemplar for missing series. Add tests for queue_manager sending exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Store both samples and exemplars in the same timeseries buffer to remove the alloc when building final request, keep sub-slices in separate buffers for re-use Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Condense sample/exemplar delivery tests to parameterized sub-tests Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename test methods for clarity now that they also handle exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename counter variable. Fix instances where metrics were not updated correctly Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Add exemplars to LoadWAL benchmark Signed-off-by: Callum Styan <callumstyan@gmail.com> * last exemplars timestamp metric needs to convert value to seconds with ms precision Signed-off-by: Callum Styan <callumstyan@gmail.com> * Process exemplar records in a separate go routine when loading the WAL. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments related to clarifying comments and variable names. Also refactor sample/exemplar to enqueue prompb types. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Regenerate types proto with comments, update protoc version again. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Put remote write of exemplars behind a feature flag. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address some of Ganesh's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Move exemplar remote write feature flag to a config file field. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address Bartek's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Don't allocate exemplar buffers in queue_manager if we're not going to send exemplars over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add ValidateExemplar function, validate exemplars when appending to head and log them all to WAL before adding them to exemplar storage. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address more reivew comments from Ganesh. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add exemplar total label length check. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address a few last review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> Co-authored-by: Martin Disibio <mdisibio@gmail.com>
2021-05-06 13:53:52 -07:00
gap: gap,
metrics: map[uint64]labels.Labels{},
defs: map[uint64][]promql.Sample{},
Add Exemplar Remote Write support (#8296) * Write exemplars to the WAL and send them over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Update example for exemplars, print data in a more obvious format. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add metrics for remote write of exemplars. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Fix incorrect slices passed to send in remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * We need to unregister the new metrics. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> * Order of exemplar append vs write exemplar to WAL needs to change. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Several fixes to prevent sending uninitialized or incorrect samples with an exemplar. Fix dropping exemplar for missing series. Add tests for queue_manager sending exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Store both samples and exemplars in the same timeseries buffer to remove the alloc when building final request, keep sub-slices in separate buffers for re-use Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Condense sample/exemplar delivery tests to parameterized sub-tests Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename test methods for clarity now that they also handle exemplars Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Rename counter variable. Fix instances where metrics were not updated correctly Signed-off-by: Martin Disibio <mdisibio@gmail.com> * Add exemplars to LoadWAL benchmark Signed-off-by: Callum Styan <callumstyan@gmail.com> * last exemplars timestamp metric needs to convert value to seconds with ms precision Signed-off-by: Callum Styan <callumstyan@gmail.com> * Process exemplar records in a separate go routine when loading the WAL. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address review comments related to clarifying comments and variable names. Also refactor sample/exemplar to enqueue prompb types. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Regenerate types proto with comments, update protoc version again. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Put remote write of exemplars behind a feature flag. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address some of Ganesh's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Move exemplar remote write feature flag to a config file field. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address Bartek's review comments. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Don't allocate exemplar buffers in queue_manager if we're not going to send exemplars over remote write. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add ValidateExemplar function, validate exemplars when appending to head and log them all to WAL before adding them to exemplar storage. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address more reivew comments from Ganesh. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Add exemplar total label length check. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Address a few last review comments Signed-off-by: Callum Styan <callumstyan@gmail.com> Co-authored-by: Martin Disibio <mdisibio@gmail.com>
2021-05-06 13:53:52 -07:00
exemplars: map[uint64][]exemplar.Exemplar{},
withNHCB: withNHCB,
}
}
func (cmd loadCmd) String() string {
return "load"
}
// set a sequence of sample values for the given metric.
func (cmd *loadCmd) set(m labels.Labels, vals ...parser.SequenceValue) {
h := m.Hash()
samples := make([]promql.Sample, 0, len(vals))
ts := testStartTime
for _, v := range vals {
if !v.Omitted {
samples = append(samples, promql.Sample{
2016-12-24 02:23:06 -08:00
T: ts.UnixNano() / int64(time.Millisecond/time.Nanosecond),
promql: Separate `Point` into `FPoint` and `HPoint` In other words: Instead of having a “polymorphous” `Point` that can either contain a float value or a histogram value, use an `FPoint` for floats and an `HPoint` for histograms. This seemingly small change has a _lot_ of repercussions throughout the codebase. The idea here is to avoid the increase in size of `Point` arrays that happened after native histograms had been added. The higher-level data structures (`Sample`, `Series`, etc.) are still “polymorphous”. The same idea could be applied to them, but at each step the trade-offs needed to be evaluated. The idea with this change is to do the minimum necessary to get back to pre-histogram performance for functions that do not touch histograms. Here are comparisons for the `changes` function. The test data doesn't include histograms yet. Ideally, there would be no change in the benchmark result at all. First runtime v2.39 compared to directly prior to this commit: ``` name old time/op new time/op delta RangeQuery/expr=changes(a_one[1d]),steps=1-16 391µs ± 2% 542µs ± 1% +38.58% (p=0.000 n=9+8) RangeQuery/expr=changes(a_one[1d]),steps=10-16 452µs ± 2% 617µs ± 2% +36.48% (p=0.000 n=10+10) RangeQuery/expr=changes(a_one[1d]),steps=100-16 1.12ms ± 1% 1.36ms ± 2% +21.58% (p=0.000 n=8+10) RangeQuery/expr=changes(a_one[1d]),steps=1000-16 7.83ms ± 1% 8.94ms ± 1% +14.21% (p=0.000 n=10+10) RangeQuery/expr=changes(a_ten[1d]),steps=1-16 2.98ms ± 0% 3.30ms ± 1% +10.67% (p=0.000 n=9+10) RangeQuery/expr=changes(a_ten[1d]),steps=10-16 3.66ms ± 1% 4.10ms ± 1% +11.82% (p=0.000 n=10+10) RangeQuery/expr=changes(a_ten[1d]),steps=100-16 10.5ms ± 0% 11.8ms ± 1% +12.50% (p=0.000 n=8+10) RangeQuery/expr=changes(a_ten[1d]),steps=1000-16 77.6ms ± 1% 87.4ms ± 1% +12.63% (p=0.000 n=9+9) RangeQuery/expr=changes(a_hundred[1d]),steps=1-16 30.4ms ± 2% 32.8ms ± 1% +8.01% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=10-16 37.1ms ± 2% 40.6ms ± 2% +9.64% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=100-16 105ms ± 1% 117ms ± 1% +11.69% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=1000-16 783ms ± 3% 876ms ± 1% +11.83% (p=0.000 n=9+10) ``` And then runtime v2.39 compared to after this commit: ``` name old time/op new time/op delta RangeQuery/expr=changes(a_one[1d]),steps=1-16 391µs ± 2% 547µs ± 1% +39.84% (p=0.000 n=9+8) RangeQuery/expr=changes(a_one[1d]),steps=10-16 452µs ± 2% 616µs ± 2% +36.15% (p=0.000 n=10+10) RangeQuery/expr=changes(a_one[1d]),steps=100-16 1.12ms ± 1% 1.26ms ± 1% +12.20% (p=0.000 n=8+10) RangeQuery/expr=changes(a_one[1d]),steps=1000-16 7.83ms ± 1% 7.95ms ± 1% +1.59% (p=0.000 n=10+8) RangeQuery/expr=changes(a_ten[1d]),steps=1-16 2.98ms ± 0% 3.38ms ± 2% +13.49% (p=0.000 n=9+10) RangeQuery/expr=changes(a_ten[1d]),steps=10-16 3.66ms ± 1% 4.02ms ± 1% +9.80% (p=0.000 n=10+9) RangeQuery/expr=changes(a_ten[1d]),steps=100-16 10.5ms ± 0% 10.8ms ± 1% +3.08% (p=0.000 n=8+10) RangeQuery/expr=changes(a_ten[1d]),steps=1000-16 77.6ms ± 1% 78.1ms ± 1% +0.58% (p=0.035 n=9+10) RangeQuery/expr=changes(a_hundred[1d]),steps=1-16 30.4ms ± 2% 33.5ms ± 4% +10.18% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=10-16 37.1ms ± 2% 40.0ms ± 1% +7.98% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=100-16 105ms ± 1% 107ms ± 1% +1.92% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=1000-16 783ms ± 3% 775ms ± 1% -1.02% (p=0.019 n=9+9) ``` In summary, the runtime doesn't really improve with this change for queries with just a few steps. For queries with many steps, this commit essentially reinstates the old performance. This is good because the many-step queries are the one that matter most (longest absolute runtime). In terms of allocations, though, this commit doesn't make a dent at all (numbers not shown). The reason is that most of the allocations happen in the sampleRingIterator (in the storage package), which has to be addressed in a separate commit. Signed-off-by: beorn7 <beorn@grafana.com>
2022-10-28 07:58:40 -07:00
F: v.Value,
H: v.Histogram,
})
}
ts = ts.Add(cmd.gap)
}
cmd.defs[h] = samples
cmd.metrics[h] = m
}
// append the defined time series to the storage.
2017-01-13 05:48:01 -08:00
func (cmd *loadCmd) append(a storage.Appender) error {
2016-12-28 00:16:48 -08:00
for h, smpls := range cmd.defs {
m := cmd.metrics[h]
for _, s := range smpls {
if err := appendSample(a, s, m); err != nil {
2017-01-13 05:48:01 -08:00
return err
}
2016-12-28 00:16:48 -08:00
}
}
if cmd.withNHCB {
return cmd.appendCustomHistogram(a)
}
return nil
}
func getHistogramMetricBase(m labels.Labels, suffix string) (labels.Labels, uint64) {
mName := m.Get(labels.MetricName)
baseM := labels.NewBuilder(m).
Set(labels.MetricName, strings.TrimSuffix(mName, suffix)).
Del(labels.BucketLabel).
Labels()
hash := baseM.Hash()
return baseM, hash
}
type tempHistogramWrapper struct {
metric labels.Labels
upperBounds []float64
histogramByTs map[int64]tempHistogram
}
func newTempHistogramWrapper() tempHistogramWrapper {
return tempHistogramWrapper{
upperBounds: []float64{},
histogramByTs: map[int64]tempHistogram{},
}
}
type tempHistogram struct {
bucketCounts map[float64]float64
count float64
sum float64
}
func newTempHistogram() tempHistogram {
return tempHistogram{
bucketCounts: map[float64]float64{},
}
}
func processClassicHistogramSeries(m labels.Labels, suffix string, histogramMap map[uint64]tempHistogramWrapper, smpls []promql.Sample, updateHistogramWrapper func(*tempHistogramWrapper), updateHistogram func(*tempHistogram, float64)) {
m2, m2hash := getHistogramMetricBase(m, suffix)
histogramWrapper, exists := histogramMap[m2hash]
if !exists {
histogramWrapper = newTempHistogramWrapper()
}
histogramWrapper.metric = m2
if updateHistogramWrapper != nil {
updateHistogramWrapper(&histogramWrapper)
}
for _, s := range smpls {
if s.H != nil {
continue
}
histogram, exists := histogramWrapper.histogramByTs[s.T]
if !exists {
histogram = newTempHistogram()
}
updateHistogram(&histogram, s.F)
histogramWrapper.histogramByTs[s.T] = histogram
}
histogramMap[m2hash] = histogramWrapper
}
func processUpperBoundsAndCreateBaseHistogram(upperBounds0 []float64) ([]float64, *histogram.FloatHistogram) {
sort.Float64s(upperBounds0)
upperBounds := make([]float64, 0, len(upperBounds0))
prevLE := math.Inf(-1)
for _, le := range upperBounds0 {
if le != prevLE { // deduplicate
upperBounds = append(upperBounds, le)
prevLE = le
}
}
var customBounds []float64
if upperBounds[len(upperBounds)-1] == math.Inf(1) {
customBounds = upperBounds[:len(upperBounds)-1]
} else {
customBounds = upperBounds
}
return upperBounds, &histogram.FloatHistogram{
Count: 0,
Sum: 0,
Schema: histogram.CustomBucketsSchema,
PositiveSpans: []histogram.Span{
{Offset: 0, Length: uint32(len(upperBounds))},
},
PositiveBuckets: make([]float64, len(upperBounds)),
CustomValues: customBounds,
}
}
// If classic histograms are defined, convert them into native histograms with custom
// bounds and append the defined time series to the storage.
func (cmd *loadCmd) appendCustomHistogram(a storage.Appender) error {
histogramMap := map[uint64]tempHistogramWrapper{}
// Go through all the time series to collate classic histogram data
// and organise them by timestamp.
for hash, smpls := range cmd.defs {
m := cmd.metrics[hash]
mName := m.Get(labels.MetricName)
switch {
case strings.HasSuffix(mName, "_bucket") && m.Has(labels.BucketLabel):
le, err := strconv.ParseFloat(m.Get(labels.BucketLabel), 64)
if err != nil || math.IsNaN(le) {
continue
}
processClassicHistogramSeries(m, "_bucket", histogramMap, smpls, func(histogramWrapper *tempHistogramWrapper) {
histogramWrapper.upperBounds = append(histogramWrapper.upperBounds, le)
}, func(histogram *tempHistogram, f float64) {
histogram.bucketCounts[le] = f
})
case strings.HasSuffix(mName, "_count"):
processClassicHistogramSeries(m, "_count", histogramMap, smpls, nil, func(histogram *tempHistogram, f float64) {
histogram.count = f
})
case strings.HasSuffix(mName, "_sum"):
processClassicHistogramSeries(m, "_sum", histogramMap, smpls, nil, func(histogram *tempHistogram, f float64) {
histogram.sum = f
})
}
}
// Convert the collated classic histogram data into native histograms
// with custom bounds and append them to the storage.
for _, histogramWrapper := range histogramMap {
upperBounds, fhBase := processUpperBoundsAndCreateBaseHistogram(histogramWrapper.upperBounds)
samples := make([]promql.Sample, 0, len(histogramWrapper.histogramByTs))
for t, histogram := range histogramWrapper.histogramByTs {
fh := fhBase.Copy()
var prevCount, total float64
for i, le := range upperBounds {
currCount, exists := histogram.bucketCounts[le]
if !exists {
currCount = 0
}
count := currCount - prevCount
fh.PositiveBuckets[i] = count
total += count
prevCount = currCount
}
fh.Sum = histogram.sum
if histogram.count != 0 {
total = histogram.count
}
fh.Count = total
s := promql.Sample{T: t, H: fh.Compact(0)}
if err := s.H.Validate(); err != nil {
return err
}
samples = append(samples, s)
}
sort.Slice(samples, func(i, j int) bool { return samples[i].T < samples[j].T })
for _, s := range samples {
if err := appendSample(a, s, histogramWrapper.metric); err != nil {
return err
}
}
}
2017-01-13 05:48:01 -08:00
return nil
}
func appendSample(a storage.Appender, s promql.Sample, m labels.Labels) error {
if s.H != nil {
if _, err := a.AppendHistogram(0, m, s.T, nil, s.H); err != nil {
return err
}
} else {
if _, err := a.Append(0, m, s.T, s.F); err != nil {
return err
}
}
return nil
}
// evalCmd is a command that evaluates an expression for the given time (range)
// and expects a specific result.
type evalCmd struct {
Optimise PromQL (#3966) * Move range logic to 'eval' Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make aggregegate range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * PromQL is statically typed, so don't eval to find the type. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Extend rangewrapper to multiple exprs Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Start making function evaluation ranged Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make instant queries a special case of range queries Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Eliminate evalString Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Evaluate range vector functions one series at a time Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make unary operators range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make binops range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Pass time to range-aware functions. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make simple _over_time functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reduce allocs when working with matrix selectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add basic benchmark for range evaluation Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse objects for function arguments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Do dropmetricname and allocating output vector only once. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add range-aware support for range vector functions with params Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise holt_winters, cut cpu and allocs by ~25% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make rate&friends range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make more functions range aware. Document calling convention. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make date functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make simple math functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Convert more functions to be range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make more functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Specialcase timestamp() with vector selector arg for range awareness Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove transition code for functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove the rest of the engine transition code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove more obselete code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove the last uses of the eval* functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove engine finalizers to prevent corruption The finalizers set by matrixSelector were being called just before the value they were retruning to the pool was then being provided to the caller. Thus a concurrent query could corrupt the data that the user has just been returned. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add new benchmark suite for range functinos Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Migrate existing benchmarks to new system Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Expand promql benchmarks Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Simply test by removing unused range code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * When testing instant queries, check range queries too. To protect against subsequent steps in a range query being affected by the previous steps, add a test that evaluates an instant query that we know works again as a range query with the tiimestamp we care about not being the first step. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse ring for matrix iters. Put query results back in pool. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse buffer when iterating over matrix selectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Unary minus should remove metric name Cut down benchmarks for faster runs. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reduce repetition in benchmark test cases Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Work series by series when doing normal vectorSelectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise benchmark setup, cuts time by 60% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Have rangeWrapper use an evalNodeHelper to cache across steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Use evalNodeHelper with functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Cache dropMetricName within a node evaluation. This saves both the calculations and allocs done by dropMetricName across steps. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse input vectors in rangewrapper Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse the point slices in the matrixes input/output by rangeWrapper Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make benchmark setup faster using AddFast Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Simplify benchmark code. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add caching in VectorBinop Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Use xor to have one-level resultMetric hash key Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add more benchmarks Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Call Query.Close in apiv1 This allows point slices allocated for the response data to be reused by later queries, saving allocations. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise histogram_quantile It's now 5-10% faster with 97% less garbage generated for 1k steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make the input collection in rangeVector linear rather than quadratic Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise label_replace, for 1k steps 15x fewer allocs and 3x faster Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise label_join, 1.8x faster and 11x less memory for 1k steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Expand benchmarks, cleanup comments, simplify numSteps logic. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address Fabian's comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Comments from Alin. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address jrv's comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove dead code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address Simon's comments. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Rename populateIterators, pre-init some sizes Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Handle case where function has non-matrix args first Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Split rangeWrapper out to rangeEval function, improve comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Cleanup and make things more consistent Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make EvalNodeHelper public Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Fabian's comments. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2018-06-04 06:47:45 -07:00
expr string
start time.Time
end time.Time
step time.Duration
line int
isRange bool // if false, instant query
fail, warn, ordered bool
expectedFailMessage string
expectedFailRegexp *regexp.Regexp
metrics map[uint64]labels.Labels
expectScalar bool
expected map[uint64]entry
}
type entry struct {
pos int
vals []parser.SequenceValue
}
func (e entry) String() string {
return fmt.Sprintf("%d: %s", e.pos, e.vals)
}
func newInstantEvalCmd(expr string, start time.Time, line int) *evalCmd {
return &evalCmd{
Optimise PromQL (#3966) * Move range logic to 'eval' Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make aggregegate range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * PromQL is statically typed, so don't eval to find the type. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Extend rangewrapper to multiple exprs Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Start making function evaluation ranged Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make instant queries a special case of range queries Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Eliminate evalString Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Evaluate range vector functions one series at a time Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make unary operators range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make binops range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Pass time to range-aware functions. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make simple _over_time functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reduce allocs when working with matrix selectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add basic benchmark for range evaluation Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse objects for function arguments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Do dropmetricname and allocating output vector only once. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add range-aware support for range vector functions with params Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise holt_winters, cut cpu and allocs by ~25% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make rate&friends range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make more functions range aware. Document calling convention. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make date functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make simple math functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Convert more functions to be range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make more functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Specialcase timestamp() with vector selector arg for range awareness Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove transition code for functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove the rest of the engine transition code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove more obselete code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove the last uses of the eval* functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove engine finalizers to prevent corruption The finalizers set by matrixSelector were being called just before the value they were retruning to the pool was then being provided to the caller. Thus a concurrent query could corrupt the data that the user has just been returned. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add new benchmark suite for range functinos Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Migrate existing benchmarks to new system Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Expand promql benchmarks Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Simply test by removing unused range code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * When testing instant queries, check range queries too. To protect against subsequent steps in a range query being affected by the previous steps, add a test that evaluates an instant query that we know works again as a range query with the tiimestamp we care about not being the first step. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse ring for matrix iters. Put query results back in pool. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse buffer when iterating over matrix selectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Unary minus should remove metric name Cut down benchmarks for faster runs. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reduce repetition in benchmark test cases Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Work series by series when doing normal vectorSelectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise benchmark setup, cuts time by 60% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Have rangeWrapper use an evalNodeHelper to cache across steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Use evalNodeHelper with functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Cache dropMetricName within a node evaluation. This saves both the calculations and allocs done by dropMetricName across steps. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse input vectors in rangewrapper Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse the point slices in the matrixes input/output by rangeWrapper Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make benchmark setup faster using AddFast Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Simplify benchmark code. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add caching in VectorBinop Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Use xor to have one-level resultMetric hash key Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add more benchmarks Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Call Query.Close in apiv1 This allows point slices allocated for the response data to be reused by later queries, saving allocations. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise histogram_quantile It's now 5-10% faster with 97% less garbage generated for 1k steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make the input collection in rangeVector linear rather than quadratic Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise label_replace, for 1k steps 15x fewer allocs and 3x faster Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise label_join, 1.8x faster and 11x less memory for 1k steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Expand benchmarks, cleanup comments, simplify numSteps logic. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address Fabian's comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Comments from Alin. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address jrv's comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove dead code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address Simon's comments. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Rename populateIterators, pre-init some sizes Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Handle case where function has non-matrix args first Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Split rangeWrapper out to rangeEval function, improve comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Cleanup and make things more consistent Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make EvalNodeHelper public Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Fabian's comments. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2018-06-04 06:47:45 -07:00
expr: expr,
start: start,
line: line,
metrics: map[uint64]labels.Labels{},
expected: map[uint64]entry{},
}
}
func newRangeEvalCmd(expr string, start, end time.Time, step time.Duration, line int) *evalCmd {
return &evalCmd{
expr: expr,
start: start,
end: end,
step: step,
line: line,
isRange: true,
metrics: map[uint64]labels.Labels{},
expected: map[uint64]entry{},
}
}
func (ev *evalCmd) String() string {
return "eval"
}
// expect adds a sequence of values to the set of expected
// results for the query.
func (ev *evalCmd) expect(pos int, vals ...parser.SequenceValue) {
ev.expectScalar = true
ev.expected[0] = entry{pos: pos, vals: vals}
}
// expectMetric adds a new metric with a sequence of values to the set of expected
// results for the query.
func (ev *evalCmd) expectMetric(pos int, m labels.Labels, vals ...parser.SequenceValue) {
ev.expectScalar = false
h := m.Hash()
ev.metrics[h] = m
ev.expected[h] = entry{pos: pos, vals: vals}
}
// compareResult compares the result value with the defined expectation.
func (ev *evalCmd) compareResult(result parser.Value) error {
switch val := result.(type) {
case promql.Matrix:
if ev.ordered {
return fmt.Errorf("expected ordered result, but query returned a matrix")
}
if ev.expectScalar {
return fmt.Errorf("expected scalar result, but got matrix %s", val.String())
}
if err := assertMatrixSorted(val); err != nil {
return err
}
seen := map[uint64]bool{}
for _, s := range val {
hash := s.Metric.Hash()
if _, ok := ev.metrics[hash]; !ok {
return fmt.Errorf("unexpected metric %s in result, has %s", s.Metric, formatSeriesResult(s))
}
seen[hash] = true
exp := ev.expected[hash]
var expectedFloats []promql.FPoint
var expectedHistograms []promql.HPoint
for i, e := range exp.vals {
ts := ev.start.Add(time.Duration(i) * ev.step)
if ts.After(ev.end) {
return fmt.Errorf("expected %v points for %s, but query time range cannot return this many points", len(exp.vals), ev.metrics[hash])
}
t := ts.UnixNano() / int64(time.Millisecond/time.Nanosecond)
if e.Histogram != nil {
expectedHistograms = append(expectedHistograms, promql.HPoint{T: t, H: e.Histogram})
} else if !e.Omitted {
expectedFloats = append(expectedFloats, promql.FPoint{T: t, F: e.Value})
}
}
if len(expectedFloats) != len(s.Floats) || len(expectedHistograms) != len(s.Histograms) {
return fmt.Errorf("expected %v float points and %v histogram points for %s, but got %s", len(expectedFloats), len(expectedHistograms), ev.metrics[hash], formatSeriesResult(s))
}
for i, expected := range expectedFloats {
actual := s.Floats[i]
if expected.T != actual.T {
return fmt.Errorf("expected float value at index %v for %s to have timestamp %v, but it had timestamp %v (result has %s)", i, ev.metrics[hash], expected.T, actual.T, formatSeriesResult(s))
}
if !almost.Equal(actual.F, expected.F, defaultEpsilon) {
return fmt.Errorf("expected float value at index %v (t=%v) for %s to be %v, but got %v (result has %s)", i, actual.T, ev.metrics[hash], expected.F, actual.F, formatSeriesResult(s))
}
}
for i, expected := range expectedHistograms {
actual := s.Histograms[i]
if expected.T != actual.T {
return fmt.Errorf("expected histogram value at index %v for %s to have timestamp %v, but it had timestamp %v (result has %s)", i, ev.metrics[hash], expected.T, actual.T, formatSeriesResult(s))
}
if !compareNativeHistogram(expected.H.Compact(0), actual.H.Compact(0)) {
return fmt.Errorf("expected histogram value at index %v (t=%v) for %s to be %v, but got %v (result has %s)", i, actual.T, ev.metrics[hash], expected.H, actual.H, formatSeriesResult(s))
}
}
}
for hash := range ev.expected {
if !seen[hash] {
return fmt.Errorf("expected metric %s not found", ev.metrics[hash])
}
}
case promql.Vector:
if ev.expectScalar {
return fmt.Errorf("expected scalar result, but got vector %s", val.String())
}
seen := map[uint64]bool{}
for pos, v := range val {
fp := v.Metric.Hash()
if _, ok := ev.metrics[fp]; !ok {
if v.H != nil {
return fmt.Errorf("unexpected metric %s in result, has value %v", v.Metric, v.H)
}
return fmt.Errorf("unexpected metric %s in result, has value %v", v.Metric, v.F)
}
exp := ev.expected[fp]
if ev.ordered && exp.pos != pos+1 {
return fmt.Errorf("expected metric %s with %v at position %d but was at %d", v.Metric, exp.vals, exp.pos, pos+1)
}
exp0 := exp.vals[0]
expH := exp0.Histogram
if expH == nil && v.H != nil {
return fmt.Errorf("expected float value %v for %s but got histogram %s", exp0, v.Metric, HistogramTestExpression(v.H))
}
if expH != nil && v.H == nil {
return fmt.Errorf("expected histogram %s for %s but got float value %v", HistogramTestExpression(expH), v.Metric, v.F)
}
if expH != nil && !compareNativeHistogram(expH.Compact(0), v.H.Compact(0)) {
return fmt.Errorf("expected %v for %s but got %s", HistogramTestExpression(expH), v.Metric, HistogramTestExpression(v.H))
}
if !almost.Equal(exp0.Value, v.F, defaultEpsilon) {
return fmt.Errorf("expected %v for %s but got %v", exp0.Value, v.Metric, v.F)
}
seen[fp] = true
}
for fp, expVals := range ev.expected {
if !seen[fp] {
return fmt.Errorf("expected metric %s with %v not found", ev.metrics[fp], expVals)
}
}
case promql.Scalar:
if !ev.expectScalar {
return fmt.Errorf("expected vector or matrix result, but got %s", val.String())
}
exp0 := ev.expected[0].vals[0]
if exp0.Histogram != nil {
return fmt.Errorf("expected histogram %v but got %s", exp0.Histogram.TestExpression(), val.String())
}
if !almost.Equal(exp0.Value, val.V, defaultEpsilon) {
return fmt.Errorf("expected scalar %v but got %v", exp0.Value, val.V)
}
default:
panic(fmt.Errorf("promql.Test.compareResult: unexpected result type %T", result))
}
return nil
}
// compareNativeHistogram is helper function to compare two native histograms
// which can tolerate some differ in the field of float type, such as Count, Sum.
func compareNativeHistogram(exp, cur *histogram.FloatHistogram) bool {
if exp == nil || cur == nil {
return false
}
if exp.Schema != cur.Schema ||
!almost.Equal(exp.Count, cur.Count, defaultEpsilon) ||
!almost.Equal(exp.Sum, cur.Sum, defaultEpsilon) {
return false
}
if exp.UsesCustomBuckets() {
if !histogram.FloatBucketsMatch(exp.CustomValues, cur.CustomValues) {
return false
}
}
if exp.ZeroThreshold != cur.ZeroThreshold ||
!almost.Equal(exp.ZeroCount, cur.ZeroCount, defaultEpsilon) {
return false
}
if !spansMatch(exp.NegativeSpans, cur.NegativeSpans) {
return false
}
if !floatBucketsMatch(exp.NegativeBuckets, cur.NegativeBuckets) {
return false
}
if !spansMatch(exp.PositiveSpans, cur.PositiveSpans) {
return false
}
if !floatBucketsMatch(exp.PositiveBuckets, cur.PositiveBuckets) {
return false
}
return true
}
func floatBucketsMatch(b1, b2 []float64) bool {
if len(b1) != len(b2) {
return false
}
for i, b := range b1 {
if !almost.Equal(b, b2[i], defaultEpsilon) {
return false
}
}
return true
}
func spansMatch(s1, s2 []histogram.Span) bool {
if len(s1) == 0 && len(s2) == 0 {
return true
}
s1idx, s2idx := 0, 0
for {
if s1idx >= len(s1) {
return allEmptySpans(s2[s2idx:])
}
if s2idx >= len(s2) {
return allEmptySpans(s1[s1idx:])
}
currS1, currS2 := s1[s1idx], s2[s2idx]
s1idx++
s2idx++
if currS1.Length == 0 {
// This span is zero length, so we add consecutive such spans
// until we find a non-zero span.
for ; s1idx < len(s1) && s1[s1idx].Length == 0; s1idx++ {
currS1.Offset += s1[s1idx].Offset
}
if s1idx < len(s1) {
currS1.Offset += s1[s1idx].Offset
currS1.Length = s1[s1idx].Length
s1idx++
}
}
if currS2.Length == 0 {
// This span is zero length, so we add consecutive such spans
// until we find a non-zero span.
for ; s2idx < len(s2) && s2[s2idx].Length == 0; s2idx++ {
currS2.Offset += s2[s2idx].Offset
}
if s2idx < len(s2) {
currS2.Offset += s2[s2idx].Offset
currS2.Length = s2[s2idx].Length
s2idx++
}
}
if currS1.Length == 0 && currS2.Length == 0 {
// The last spans of both set are zero length. Previous spans match.
return true
}
if currS1.Offset != currS2.Offset || currS1.Length != currS2.Length {
return false
}
}
}
func allEmptySpans(s []histogram.Span) bool {
for _, ss := range s {
if ss.Length > 0 {
return false
}
}
return true
}
func (ev *evalCmd) checkExpectedFailure(actual error) error {
if ev.expectedFailMessage != "" {
if ev.expectedFailMessage != actual.Error() {
return fmt.Errorf("expected error %q evaluating query %q (line %d), but got: %s", ev.expectedFailMessage, ev.expr, ev.line, actual.Error())
}
}
if ev.expectedFailRegexp != nil {
if !ev.expectedFailRegexp.MatchString(actual.Error()) {
return fmt.Errorf("expected error matching pattern %q evaluating query %q (line %d), but got: %s", ev.expectedFailRegexp.String(), ev.expr, ev.line, actual.Error())
}
}
// We're not expecting a particular error, or we got the error we expected.
// This test passes.
return nil
}
func formatSeriesResult(s promql.Series) string {
floatPlural := "s"
histogramPlural := "s"
if len(s.Floats) == 1 {
floatPlural = ""
}
if len(s.Histograms) == 1 {
histogramPlural = ""
}
return fmt.Sprintf("%v float point%s %v and %v histogram point%s %v", len(s.Floats), floatPlural, s.Floats, len(s.Histograms), histogramPlural, s.Histograms)
}
// HistogramTestExpression returns TestExpression() for the given histogram or "" if the histogram is nil.
func HistogramTestExpression(h *histogram.FloatHistogram) string {
if h != nil {
return h.TestExpression()
}
return ""
}
// clearCmd is a command that wipes the test's storage state.
type clearCmd struct{}
func (cmd clearCmd) String() string {
return "clear"
}
type atModifierTestCase struct {
expr string
evalTime time.Time
}
func atModifierTestCases(exprStr string, evalTime time.Time) ([]atModifierTestCase, error) {
expr, err := parser.ParseExpr(exprStr)
if err != nil {
return nil, err
}
ts := timestamp.FromTime(evalTime)
containsNonStepInvariant := false
// Setting the @ timestamp for all selectors to be evalTime.
// If there is a subquery, then the selectors inside it don't get the @ timestamp.
// If any selector already has the @ timestamp set, then it is untouched.
parser.Inspect(expr, func(node parser.Node, path []parser.Node) error {
if hasAtModifier(path) {
// There is a subquery with timestamp in the path,
// hence don't change any timestamps further.
return nil
}
switch n := node.(type) {
case *parser.VectorSelector:
if n.Timestamp == nil {
n.Timestamp = makeInt64Pointer(ts)
}
case *parser.MatrixSelector:
if vs := n.VectorSelector.(*parser.VectorSelector); vs.Timestamp == nil {
vs.Timestamp = makeInt64Pointer(ts)
}
case *parser.SubqueryExpr:
if n.Timestamp == nil {
n.Timestamp = makeInt64Pointer(ts)
}
case *parser.Call:
_, ok := promql.AtModifierUnsafeFunctions[n.Func.Name]
containsNonStepInvariant = containsNonStepInvariant || ok
}
return nil
})
if containsNonStepInvariant {
// Expression contains a function whose result can vary with evaluation
// time, even though its arguments are step invariant: skip it.
return nil, nil
}
newExpr := expr.String() // With all the @ evalTime set.
additionalEvalTimes := []int64{-10 * ts, 0, ts / 5, ts, 10 * ts}
if ts == 0 {
additionalEvalTimes = []int64{-1000, -ts, 1000}
}
testCases := make([]atModifierTestCase, 0, len(additionalEvalTimes))
for _, et := range additionalEvalTimes {
testCases = append(testCases, atModifierTestCase{
expr: newExpr,
evalTime: timestamp.Time(et),
})
}
return testCases, nil
}
func hasAtModifier(path []parser.Node) bool {
for _, node := range path {
if n, ok := node.(*parser.SubqueryExpr); ok {
if n.Timestamp != nil {
return true
}
}
}
return false
}
2016-03-02 00:16:56 -08:00
// exec processes a single step of the test.
func (t *test) exec(tc testCommand, engine promql.QueryEngine) error {
switch cmd := tc.(type) {
case *clearCmd:
t.clear()
case *loadCmd:
app := t.storage.Appender(t.context)
2017-01-13 05:48:01 -08:00
if err := cmd.append(app); err != nil {
app.Rollback()
return err
}
2016-12-25 02:34:22 -08:00
if err := app.Commit(); err != nil {
return err
}
case *evalCmd:
return t.execEval(cmd, engine)
default:
panic("promql.Test.exec: unknown test command type")
}
return nil
}
func (t *test) execEval(cmd *evalCmd, engine promql.QueryEngine) error {
if cmd.isRange {
return t.execRangeEval(cmd, engine)
}
return t.execInstantEval(cmd, engine)
}
func (t *test) execRangeEval(cmd *evalCmd, engine promql.QueryEngine) error {
q, err := engine.NewRangeQuery(t.context, t.storage, nil, cmd.expr, cmd.start, cmd.end, cmd.step)
if err != nil {
return fmt.Errorf("error creating range query for %q (line %d): %w", cmd.expr, cmd.line, err)
}
res := q.Exec(t.context)
if res.Err != nil {
if cmd.fail {
return cmd.checkExpectedFailure(res.Err)
}
return fmt.Errorf("error evaluating query %q (line %d): %w", cmd.expr, cmd.line, res.Err)
}
if res.Err == nil && cmd.fail {
return fmt.Errorf("expected error evaluating query %q (line %d) but got none", cmd.expr, cmd.line)
}
countWarnings, _ := res.Warnings.CountWarningsAndInfo()
if !cmd.warn && countWarnings > 0 {
return fmt.Errorf("unexpected warnings evaluating query %q (line %d): %v", cmd.expr, cmd.line, res.Warnings)
}
if cmd.warn && countWarnings == 0 {
return fmt.Errorf("expected warnings evaluating query %q (line %d) but got none", cmd.expr, cmd.line)
}
defer q.Close()
if err := cmd.compareResult(res.Value); err != nil {
return fmt.Errorf("error in %s %s (line %d): %w", cmd, cmd.expr, cmd.line, err)
}
return nil
}
func (t *test) execInstantEval(cmd *evalCmd, engine promql.QueryEngine) error {
queries, err := atModifierTestCases(cmd.expr, cmd.start)
if err != nil {
return err
}
queries = append([]atModifierTestCase{{expr: cmd.expr, evalTime: cmd.start}}, queries...)
for _, iq := range queries {
if err := t.runInstantQuery(iq, cmd, engine); err != nil {
return err
}
}
return nil
}
func (t *test) runInstantQuery(iq atModifierTestCase, cmd *evalCmd, engine promql.QueryEngine) error {
q, err := engine.NewInstantQuery(t.context, t.storage, nil, iq.expr, iq.evalTime)
if err != nil {
return fmt.Errorf("error creating instant query for %q (line %d): %w", cmd.expr, cmd.line, err)
}
defer q.Close()
res := q.Exec(t.context)
if res.Err != nil {
if cmd.fail {
if err := cmd.checkExpectedFailure(res.Err); err != nil {
return err
}
return nil
}
return fmt.Errorf("error evaluating query %q (line %d): %w", iq.expr, cmd.line, res.Err)
}
if res.Err == nil && cmd.fail {
return fmt.Errorf("expected error evaluating query %q (line %d) but got none", iq.expr, cmd.line)
}
countWarnings, _ := res.Warnings.CountWarningsAndInfo()
if !cmd.warn && countWarnings > 0 {
return fmt.Errorf("unexpected warnings evaluating query %q (line %d): %v", iq.expr, cmd.line, res.Warnings)
}
if cmd.warn && countWarnings == 0 {
return fmt.Errorf("expected warnings evaluating query %q (line %d) but got none", iq.expr, cmd.line)
}
err = cmd.compareResult(res.Value)
if err != nil {
return fmt.Errorf("error in %s %s (line %d): %w", cmd, iq.expr, cmd.line, err)
}
// Check query returns same result in range mode,
// by checking against the middle step.
q, err = engine.NewRangeQuery(t.context, t.storage, nil, iq.expr, iq.evalTime.Add(-time.Minute), iq.evalTime.Add(time.Minute), time.Minute)
if err != nil {
return fmt.Errorf("error creating range query for %q (line %d): %w", cmd.expr, cmd.line, err)
}
rangeRes := q.Exec(t.context)
if rangeRes.Err != nil {
return fmt.Errorf("error evaluating query %q (line %d) in range mode: %w", iq.expr, cmd.line, rangeRes.Err)
}
defer q.Close()
if cmd.ordered {
// Range queries are always sorted by labels, so skip this test case that expects results in a particular order.
return nil
}
mat := rangeRes.Value.(promql.Matrix)
if err := assertMatrixSorted(mat); err != nil {
return err
}
vec := make(promql.Vector, 0, len(mat))
for _, series := range mat {
// We expect either Floats or Histograms.
for _, point := range series.Floats {
if point.T == timeMilliseconds(iq.evalTime) {
vec = append(vec, promql.Sample{Metric: series.Metric, T: point.T, F: point.F})
break
}
Optimise PromQL (#3966) * Move range logic to 'eval' Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make aggregegate range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * PromQL is statically typed, so don't eval to find the type. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Extend rangewrapper to multiple exprs Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Start making function evaluation ranged Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make instant queries a special case of range queries Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Eliminate evalString Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Evaluate range vector functions one series at a time Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make unary operators range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make binops range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Pass time to range-aware functions. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make simple _over_time functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reduce allocs when working with matrix selectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add basic benchmark for range evaluation Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse objects for function arguments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Do dropmetricname and allocating output vector only once. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add range-aware support for range vector functions with params Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise holt_winters, cut cpu and allocs by ~25% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make rate&friends range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make more functions range aware. Document calling convention. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make date functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make simple math functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Convert more functions to be range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make more functions range aware Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Specialcase timestamp() with vector selector arg for range awareness Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove transition code for functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove the rest of the engine transition code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove more obselete code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove the last uses of the eval* functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove engine finalizers to prevent corruption The finalizers set by matrixSelector were being called just before the value they were retruning to the pool was then being provided to the caller. Thus a concurrent query could corrupt the data that the user has just been returned. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add new benchmark suite for range functinos Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Migrate existing benchmarks to new system Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Expand promql benchmarks Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Simply test by removing unused range code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * When testing instant queries, check range queries too. To protect against subsequent steps in a range query being affected by the previous steps, add a test that evaluates an instant query that we know works again as a range query with the tiimestamp we care about not being the first step. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse ring for matrix iters. Put query results back in pool. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse buffer when iterating over matrix selectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Unary minus should remove metric name Cut down benchmarks for faster runs. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reduce repetition in benchmark test cases Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Work series by series when doing normal vectorSelectors Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise benchmark setup, cuts time by 60% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Have rangeWrapper use an evalNodeHelper to cache across steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Use evalNodeHelper with functions Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Cache dropMetricName within a node evaluation. This saves both the calculations and allocs done by dropMetricName across steps. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse input vectors in rangewrapper Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Reuse the point slices in the matrixes input/output by rangeWrapper Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make benchmark setup faster using AddFast Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Simplify benchmark code. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add caching in VectorBinop Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Use xor to have one-level resultMetric hash key Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Add more benchmarks Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Call Query.Close in apiv1 This allows point slices allocated for the response data to be reused by later queries, saving allocations. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise histogram_quantile It's now 5-10% faster with 97% less garbage generated for 1k steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make the input collection in rangeVector linear rather than quadratic Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise label_replace, for 1k steps 15x fewer allocs and 3x faster Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Optimise label_join, 1.8x faster and 11x less memory for 1k steps Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Expand benchmarks, cleanup comments, simplify numSteps logic. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address Fabian's comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Comments from Alin. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address jrv's comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Remove dead code Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Address Simon's comments. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Rename populateIterators, pre-init some sizes Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Handle case where function has non-matrix args first Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Split rangeWrapper out to rangeEval function, improve comments Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Cleanup and make things more consistent Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Make EvalNodeHelper public Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> * Fabian's comments. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2018-06-04 06:47:45 -07:00
}
for _, point := range series.Histograms {
if point.T == timeMilliseconds(iq.evalTime) {
vec = append(vec, promql.Sample{Metric: series.Metric, T: point.T, H: point.H})
break
}
}
}
if _, ok := res.Value.(promql.Scalar); ok {
err = cmd.compareResult(promql.Scalar{V: vec[0].F})
} else {
err = cmd.compareResult(vec)
}
if err != nil {
return fmt.Errorf("error in %s %s (line %d) range mode: %w", cmd, iq.expr, cmd.line, err)
}
return nil
}
func assertMatrixSorted(m promql.Matrix) error {
if len(m) <= 1 {
return nil
}
for i, s := range m[:len(m)-1] {
nextIndex := i + 1
nextMetric := m[nextIndex].Metric
if labels.Compare(s.Metric, nextMetric) > 0 {
return fmt.Errorf("matrix results should always be sorted by labels, but matrix is not sorted: series at index %v with labels %s sorts before series at index %v with labels %s", nextIndex, nextMetric, i, s.Metric)
}
}
return nil
}
// clear the current test storage of all inserted samples.
func (t *test) clear() {
2016-12-25 02:34:22 -08:00
if t.storage != nil {
err := t.storage.Close()
require.NoError(t.T, err, "Unexpected error while closing test storage.")
}
if t.cancelCtx != nil {
t.cancelCtx()
}
t.storage = teststorage.New(t)
t.context, t.cancelCtx = context.WithCancel(context.Background())
}
func parseNumber(s string) (float64, error) {
n, err := strconv.ParseInt(s, 0, 64)
f := float64(n)
if err != nil {
f, err = strconv.ParseFloat(s, 64)
}
if err != nil {
return 0, fmt.Errorf("error parsing number: %w", err)
}
return f, nil
}
// LazyLoader lazily loads samples into storage.
// This is specifically implemented for unit testing of rules.
type LazyLoader struct {
loadCmd *loadCmd
storage storage.Storage
SubqueryInterval time.Duration
queryEngine *promql.Engine
context context.Context
cancelCtx context.CancelFunc
opts LazyLoaderOpts
}
// LazyLoaderOpts are options for the lazy loader.
type LazyLoaderOpts struct {
// Both of these must be set to true for regular PromQL (as of
// Prometheus v2.33). They can still be disabled here for legacy and
// other uses.
EnableAtModifier, EnableNegativeOffset bool
}
// NewLazyLoader returns an initialized empty LazyLoader.
func NewLazyLoader(input string, opts LazyLoaderOpts) (*LazyLoader, error) {
ll := &LazyLoader{
opts: opts,
}
err := ll.parse(input)
if err != nil {
return nil, err
}
err = ll.clear()
return ll, err
}
// parse the given load command.
func (ll *LazyLoader) parse(input string) error {
lines := getLines(input)
// Accepts only 'load' command.
for i := 0; i < len(lines); i++ {
l := lines[i]
if len(l) == 0 {
continue
}
if strings.HasPrefix(strings.ToLower(patSpace.Split(l, 2)[0]), "load") {
_, cmd, err := parseLoad(lines, i)
if err != nil {
return err
}
ll.loadCmd = cmd
return nil
}
return raise(i, "invalid command %q", l)
}
return errors.New("no \"load\" command found")
}
// clear the current test storage of all inserted samples.
func (ll *LazyLoader) clear() error {
if ll.storage != nil {
if err := ll.storage.Close(); err != nil {
return fmt.Errorf("closing test storage: %w", err)
}
}
if ll.cancelCtx != nil {
ll.cancelCtx()
}
var err error
ll.storage, err = teststorage.NewWithError()
if err != nil {
return err
}
opts := promql.EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10000,
Timeout: 100 * time.Second,
NoStepSubqueryIntervalFn: func(int64) int64 { return durationMilliseconds(ll.SubqueryInterval) },
EnableAtModifier: ll.opts.EnableAtModifier,
EnableNegativeOffset: ll.opts.EnableNegativeOffset,
PromQL engine: Delay deletion of __name__ label to the end of the query evaluation (#14477) PromQL engine: Delay deletion of __name__ label to the end of the query evaluation - This change allows optionally preserving the `__name__` label via the `label_replace` and `label_join` functions, and helps prevent the dreaded "vector cannot contain metrics with the same labelset" error. - The implementation extends the `Series` and `Sample` structs with a boolean flag indicating whether the `__name__` label should be deleted at the end of the query evaluation. - The `label_replace` and `label_join` functions can still access the value of the `__name__` label, even if it has been previously marked for deletion. If `__name__` is used as target label, it won't be dropped at the end of the query evaluation. - Fixes https://github.com/prometheus/prometheus/issues/11397 - See https://github.com/jcreixell/prometheus/pull/2 for previous discussion, including the decision to create this PR and benchmark it before considering other alternatives (like refactoring `labels.Labels`). - See https://github.com/jcreixell/prometheus/pull/1 for an alternative implementation using a special label instead of boolean flags. - Note: a feature flag `promql-delayed-name-removal` has been added as it changes the behavior of some "weird" queries (see https://github.com/prometheus/prometheus/issues/11397#issuecomment-1451998792) Example (this always fails, as `__name__` is being dropped by `count_over_time`): ``` count_over_time({__name__!=""}[1m]) => Error executing query: vector cannot contain metrics with the same labelset ``` Before: ``` label_replace(count_over_time({__name__!=""}[1m]), "__name__", "count_$1", "__name__", "(.+)") => Error executing query: vector cannot contain metrics with the same labelset ``` After: ``` label_replace(count_over_time({__name__!=""}[1m]), "__name__", "count_$1", "__name__", "(.+)") => count_go_gc_cycles_automatic_gc_cycles_total{instance="localhost:9090", job="prometheus"} 1 count_go_gc_cycles_forced_gc_cycles_total{instance="localhost:9090", job="prometheus"} 1 ... ``` Signed-off-by: Jorge Creixell <jcreixell@gmail.com> --------- Signed-off-by: Jorge Creixell <jcreixell@gmail.com> Signed-off-by: Björn Rabenstein <github@rabenste.in>
2024-08-29 06:50:39 -07:00
EnableDelayedNameRemoval: true,
}
ll.queryEngine = promql.NewEngine(opts)
ll.context, ll.cancelCtx = context.WithCancel(context.Background())
return nil
}
// appendTill appends the defined time series to the storage till the given timestamp (in milliseconds).
func (ll *LazyLoader) appendTill(ts int64) error {
app := ll.storage.Appender(ll.Context())
for h, smpls := range ll.loadCmd.defs {
m := ll.loadCmd.metrics[h]
for i, s := range smpls {
if s.T > ts {
// Removing the already added samples.
ll.loadCmd.defs[h] = smpls[i:]
break
}
if err := appendSample(app, s, m); err != nil {
return err
}
if i == len(smpls)-1 {
ll.loadCmd.defs[h] = nil
}
}
}
return app.Commit()
}
// WithSamplesTill loads the samples till given timestamp and executes the given function.
func (ll *LazyLoader) WithSamplesTill(ts time.Time, fn func(error)) {
tsMilli := ts.Sub(time.Unix(0, 0).UTC()) / time.Millisecond
fn(ll.appendTill(int64(tsMilli)))
}
// QueryEngine returns the LazyLoader's query engine.
func (ll *LazyLoader) QueryEngine() *promql.Engine {
return ll.queryEngine
}
// Queryable allows querying the LazyLoader's data.
// Note: only the samples till the max timestamp used
// in `WithSamplesTill` can be queried.
func (ll *LazyLoader) Queryable() storage.Queryable {
return ll.storage
}
// Context returns the LazyLoader's context.
func (ll *LazyLoader) Context() context.Context {
return ll.context
}
// Storage returns the LazyLoader's storage.
func (ll *LazyLoader) Storage() storage.Storage {
return ll.storage
}
// Close closes resources associated with the LazyLoader.
func (ll *LazyLoader) Close() error {
ll.cancelCtx()
err := ll.queryEngine.Close()
if sErr := ll.storage.Close(); sErr != nil {
return errors.Join(sErr, err)
}
return err
}
func makeInt64Pointer(val int64) *int64 {
valp := new(int64)
*valp = val
return valp
}
func timeMilliseconds(t time.Time) int64 {
return t.UnixNano() / int64(time.Millisecond/time.Nanosecond)
}
func durationMilliseconds(d time.Duration) int64 {
return int64(d / (time.Millisecond / time.Nanosecond))
}