mirror of https://github.com/prometheus/prometheus
5017 lines
136 KiB
Go
5017 lines
136 KiB
Go
// Copyright 2016 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 promql
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import (
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"context"
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"errors"
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"fmt"
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"math"
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"os"
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"sort"
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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/stretchr/testify/require"
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"go.uber.org/goleak"
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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/model/timestamp"
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"github.com/prometheus/prometheus/promql/parser"
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"github.com/prometheus/prometheus/promql/parser/posrange"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/tsdb/tsdbutil"
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"github.com/prometheus/prometheus/util/annotations"
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"github.com/prometheus/prometheus/util/stats"
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"github.com/prometheus/prometheus/util/teststorage"
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"github.com/prometheus/prometheus/util/testutil"
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)
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func TestMain(m *testing.M) {
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goleak.VerifyTestMain(m)
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}
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func TestQueryConcurrency(t *testing.T) {
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maxConcurrency := 10
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dir, err := os.MkdirTemp("", "test_concurrency")
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require.NoError(t, err)
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defer os.RemoveAll(dir)
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queryTracker := NewActiveQueryTracker(dir, maxConcurrency, nil)
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t.Cleanup(queryTracker.Close)
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opts := EngineOpts{
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Logger: nil,
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Reg: nil,
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MaxSamples: 10,
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Timeout: 100 * time.Second,
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ActiveQueryTracker: queryTracker,
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}
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engine := NewEngine(opts)
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ctx, cancelCtx := context.WithCancel(context.Background())
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defer cancelCtx()
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block := make(chan struct{})
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processing := make(chan struct{})
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done := make(chan int)
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defer close(done)
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f := func(context.Context) error {
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select {
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case processing <- struct{}{}:
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case <-done:
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}
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select {
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case <-block:
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case <-done:
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}
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return nil
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}
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for i := 0; i < maxConcurrency; i++ {
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q := engine.newTestQuery(f)
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go q.Exec(ctx)
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select {
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case <-processing:
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// Expected.
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case <-time.After(20 * time.Millisecond):
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require.Fail(t, "Query within concurrency threshold not being executed")
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}
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}
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q := engine.newTestQuery(f)
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go q.Exec(ctx)
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select {
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case <-processing:
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require.Fail(t, "Query above concurrency threshold being executed")
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case <-time.After(20 * time.Millisecond):
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// Expected.
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}
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// Terminate a running query.
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block <- struct{}{}
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select {
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case <-processing:
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// Expected.
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case <-time.After(20 * time.Millisecond):
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require.Fail(t, "Query within concurrency threshold not being executed")
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}
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// Terminate remaining queries.
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for i := 0; i < maxConcurrency; i++ {
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block <- struct{}{}
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}
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}
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func TestQueryTimeout(t *testing.T) {
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opts := EngineOpts{
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Logger: nil,
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Reg: nil,
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MaxSamples: 10,
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Timeout: 5 * time.Millisecond,
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}
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engine := NewEngine(opts)
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ctx, cancelCtx := context.WithCancel(context.Background())
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defer cancelCtx()
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query := engine.newTestQuery(func(ctx context.Context) error {
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time.Sleep(100 * time.Millisecond)
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return contextDone(ctx, "test statement execution")
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})
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res := query.Exec(ctx)
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require.Error(t, res.Err, "expected timeout error but got none")
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var e ErrQueryTimeout
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require.ErrorAs(t, res.Err, &e, "expected timeout error but got: %s", res.Err)
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}
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const errQueryCanceled = ErrQueryCanceled("test statement execution")
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func TestQueryCancel(t *testing.T) {
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opts := EngineOpts{
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Logger: nil,
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Reg: nil,
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MaxSamples: 10,
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Timeout: 10 * time.Second,
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}
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engine := NewEngine(opts)
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ctx, cancelCtx := context.WithCancel(context.Background())
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defer cancelCtx()
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// Cancel a running query before it completes.
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block := make(chan struct{})
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processing := make(chan struct{})
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query1 := engine.newTestQuery(func(ctx context.Context) error {
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processing <- struct{}{}
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<-block
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return contextDone(ctx, "test statement execution")
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})
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var res *Result
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go func() {
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res = query1.Exec(ctx)
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processing <- struct{}{}
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}()
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<-processing
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query1.Cancel()
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block <- struct{}{}
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<-processing
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require.Error(t, res.Err, "expected cancellation error for query1 but got none")
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require.Equal(t, errQueryCanceled, res.Err)
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// Canceling a query before starting it must have no effect.
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query2 := engine.newTestQuery(func(ctx context.Context) error {
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return contextDone(ctx, "test statement execution")
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})
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query2.Cancel()
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res = query2.Exec(ctx)
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require.NoError(t, res.Err)
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}
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// errQuerier implements storage.Querier which always returns error.
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type errQuerier struct {
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err error
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}
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func (q *errQuerier) Select(context.Context, bool, *storage.SelectHints, ...*labels.Matcher) storage.SeriesSet {
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return errSeriesSet{err: q.err}
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}
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func (*errQuerier) LabelValues(context.Context, string, ...*labels.Matcher) ([]string, annotations.Annotations, error) {
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return nil, nil, nil
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}
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func (*errQuerier) LabelNames(context.Context, ...*labels.Matcher) ([]string, annotations.Annotations, error) {
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return nil, nil, nil
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}
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func (*errQuerier) Close() error { return nil }
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// errSeriesSet implements storage.SeriesSet which always returns error.
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type errSeriesSet struct {
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err error
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}
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func (errSeriesSet) Next() bool { return false }
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func (errSeriesSet) At() storage.Series { return nil }
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func (e errSeriesSet) Err() error { return e.err }
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func (e errSeriesSet) Warnings() annotations.Annotations { return nil }
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func TestQueryError(t *testing.T) {
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opts := EngineOpts{
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Logger: nil,
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Reg: nil,
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MaxSamples: 10,
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Timeout: 10 * time.Second,
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}
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engine := NewEngine(opts)
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errStorage := ErrStorage{errors.New("storage error")}
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queryable := storage.QueryableFunc(func(mint, maxt int64) (storage.Querier, error) {
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return &errQuerier{err: errStorage}, nil
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})
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ctx, cancelCtx := context.WithCancel(context.Background())
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defer cancelCtx()
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vectorQuery, err := engine.NewInstantQuery(ctx, queryable, nil, "foo", time.Unix(1, 0))
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require.NoError(t, err)
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res := vectorQuery.Exec(ctx)
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require.Error(t, res.Err, "expected error on failed select but got none")
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require.ErrorIs(t, res.Err, errStorage, "expected error doesn't match")
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matrixQuery, err := engine.NewInstantQuery(ctx, queryable, nil, "foo[1m]", time.Unix(1, 0))
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require.NoError(t, err)
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res = matrixQuery.Exec(ctx)
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require.Error(t, res.Err, "expected error on failed select but got none")
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require.ErrorIs(t, res.Err, errStorage, "expected error doesn't match")
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}
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type noopHintRecordingQueryable struct {
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hints []*storage.SelectHints
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}
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func (h *noopHintRecordingQueryable) Querier(int64, int64) (storage.Querier, error) {
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return &hintRecordingQuerier{Querier: &errQuerier{}, h: h}, nil
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}
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type hintRecordingQuerier struct {
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storage.Querier
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h *noopHintRecordingQueryable
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}
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func (h *hintRecordingQuerier) Select(ctx context.Context, sortSeries bool, hints *storage.SelectHints, matchers ...*labels.Matcher) storage.SeriesSet {
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h.h.hints = append(h.h.hints, hints)
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return h.Querier.Select(ctx, sortSeries, hints, matchers...)
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}
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func TestSelectHintsSetCorrectly(t *testing.T) {
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opts := EngineOpts{
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Logger: nil,
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Reg: nil,
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MaxSamples: 10,
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Timeout: 10 * time.Second,
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LookbackDelta: 5 * time.Second,
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EnableAtModifier: true,
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}
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for _, tc := range []struct {
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query string
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// All times are in milliseconds.
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start int64
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end int64
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// TODO(bwplotka): Add support for better hints when subquerying.
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expected []*storage.SelectHints
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}{
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{
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query: "foo", start: 10000,
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expected: []*storage.SelectHints{
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{Start: 5000, End: 10000},
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},
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}, {
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query: "foo @ 15", start: 10000,
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expected: []*storage.SelectHints{
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{Start: 10000, End: 15000},
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},
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}, {
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query: "foo @ 1", start: 10000,
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expected: []*storage.SelectHints{
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{Start: -4000, End: 1000},
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},
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}, {
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query: "foo[2m]", start: 200000,
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expected: []*storage.SelectHints{
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{Start: 80000, End: 200000, Range: 120000},
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},
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}, {
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query: "foo[2m] @ 180", start: 200000,
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expected: []*storage.SelectHints{
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{Start: 60000, End: 180000, Range: 120000},
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},
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}, {
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query: "foo[2m] @ 300", start: 200000,
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expected: []*storage.SelectHints{
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{Start: 180000, End: 300000, Range: 120000},
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},
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}, {
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query: "foo[2m] @ 60", start: 200000,
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expected: []*storage.SelectHints{
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{Start: -60000, End: 60000, Range: 120000},
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},
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}, {
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query: "foo[2m] offset 2m", start: 300000,
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expected: []*storage.SelectHints{
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{Start: 60000, End: 180000, Range: 120000},
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},
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}, {
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query: "foo[2m] @ 200 offset 2m", start: 300000,
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expected: []*storage.SelectHints{
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{Start: -40000, End: 80000, Range: 120000},
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},
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}, {
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query: "foo[2m:1s]", start: 300000,
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expected: []*storage.SelectHints{
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{Start: 175000, End: 300000, Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s])", start: 300000,
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expected: []*storage.SelectHints{
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{Start: 175000, End: 300000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] @ 300)", start: 200000,
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expected: []*storage.SelectHints{
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{Start: 175000, End: 300000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] @ 200)", start: 200000,
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expected: []*storage.SelectHints{
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{Start: 75000, End: 200000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] @ 100)", start: 200000,
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expected: []*storage.SelectHints{
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{Start: -25000, End: 100000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] offset 10s)", start: 300000,
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expected: []*storage.SelectHints{
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{Start: 165000, End: 290000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time((foo offset 10s)[2m:1s] offset 10s)", start: 300000,
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expected: []*storage.SelectHints{
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{Start: 155000, End: 280000, Func: "count_over_time", Step: 1000},
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},
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}, {
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// When the @ is on the vector selector, the enclosing subquery parameters
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// don't affect the hint ranges.
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query: "count_over_time((foo @ 200 offset 10s)[2m:1s] offset 10s)", start: 300000,
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expected: []*storage.SelectHints{
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{Start: 185000, End: 190000, Func: "count_over_time", Step: 1000},
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},
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}, {
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// When the @ is on the vector selector, the enclosing subquery parameters
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// don't affect the hint ranges.
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query: "count_over_time((foo @ 200 offset 10s)[2m:1s] @ 100 offset 10s)", start: 300000,
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expected: []*storage.SelectHints{
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{Start: 185000, End: 190000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time((foo offset 10s)[2m:1s] @ 100 offset 10s)", start: 300000,
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expected: []*storage.SelectHints{
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{Start: -45000, End: 80000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "foo", start: 10000, end: 20000,
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expected: []*storage.SelectHints{
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{Start: 5000, End: 20000, Step: 1000},
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},
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}, {
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query: "foo @ 15", start: 10000, end: 20000,
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expected: []*storage.SelectHints{
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{Start: 10000, End: 15000, Step: 1000},
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},
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}, {
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query: "foo @ 1", start: 10000, end: 20000,
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expected: []*storage.SelectHints{
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{Start: -4000, End: 1000, Step: 1000},
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},
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}, {
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query: "rate(foo[2m] @ 180)", start: 200000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 60000, End: 180000, Range: 120000, Func: "rate", Step: 1000},
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},
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}, {
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query: "rate(foo[2m] @ 300)", start: 200000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 180000, End: 300000, Range: 120000, Func: "rate", Step: 1000},
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},
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}, {
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query: "rate(foo[2m] @ 60)", start: 200000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: -60000, End: 60000, Range: 120000, Func: "rate", Step: 1000},
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},
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}, {
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query: "rate(foo[2m])", start: 200000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 80000, End: 500000, Range: 120000, Func: "rate", Step: 1000},
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},
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}, {
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query: "rate(foo[2m] offset 2m)", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 60000, End: 380000, Range: 120000, Func: "rate", Step: 1000},
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},
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}, {
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query: "rate(foo[2m:1s])", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 175000, End: 500000, Func: "rate", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s])", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 175000, End: 500000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] offset 10s)", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 165000, End: 490000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] @ 300)", start: 200000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 175000, End: 300000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] @ 200)", start: 200000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 75000, End: 200000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time(foo[2m:1s] @ 100)", start: 200000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: -25000, End: 100000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time((foo offset 10s)[2m:1s] offset 10s)", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 155000, End: 480000, Func: "count_over_time", Step: 1000},
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},
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}, {
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// When the @ is on the vector selector, the enclosing subquery parameters
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// don't affect the hint ranges.
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query: "count_over_time((foo @ 200 offset 10s)[2m:1s] offset 10s)", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 185000, End: 190000, Func: "count_over_time", Step: 1000},
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},
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}, {
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// When the @ is on the vector selector, the enclosing subquery parameters
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// don't affect the hint ranges.
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query: "count_over_time((foo @ 200 offset 10s)[2m:1s] @ 100 offset 10s)", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: 185000, End: 190000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "count_over_time((foo offset 10s)[2m:1s] @ 100 offset 10s)", start: 300000, end: 500000,
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expected: []*storage.SelectHints{
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{Start: -45000, End: 80000, Func: "count_over_time", Step: 1000},
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},
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}, {
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query: "sum by (dim1) (foo)", start: 10000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 5000, End: 10000, Func: "sum", By: true, Grouping: []string{"dim1"}},
|
|
},
|
|
}, {
|
|
query: "sum without (dim1) (foo)", start: 10000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 5000, End: 10000, Func: "sum", Grouping: []string{"dim1"}},
|
|
},
|
|
}, {
|
|
query: "sum by (dim1) (avg_over_time(foo[1s]))", start: 10000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 9000, End: 10000, Func: "avg_over_time", Range: 1000},
|
|
},
|
|
}, {
|
|
query: "sum by (dim1) (max by (dim2) (foo))", start: 10000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 5000, End: 10000, Func: "max", By: true, Grouping: []string{"dim2"}},
|
|
},
|
|
}, {
|
|
query: "(max by (dim1) (foo))[5s:1s]", start: 10000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 0, End: 10000, Func: "max", By: true, Grouping: []string{"dim1"}, Step: 1000},
|
|
},
|
|
}, {
|
|
query: "(sum(http_requests{group=~\"p.*\"})+max(http_requests{group=~\"c.*\"}))[20s:5s]", start: 120000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 95000, End: 120000, Func: "sum", By: true, Step: 5000},
|
|
{Start: 95000, End: 120000, Func: "max", By: true, Step: 5000},
|
|
},
|
|
}, {
|
|
query: "foo @ 50 + bar @ 250 + baz @ 900", start: 100000, end: 500000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 45000, End: 50000, Step: 1000},
|
|
{Start: 245000, End: 250000, Step: 1000},
|
|
{Start: 895000, End: 900000, Step: 1000},
|
|
},
|
|
}, {
|
|
query: "foo @ 50 + bar + baz @ 900", start: 100000, end: 500000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 45000, End: 50000, Step: 1000},
|
|
{Start: 95000, End: 500000, Step: 1000},
|
|
{Start: 895000, End: 900000, Step: 1000},
|
|
},
|
|
}, {
|
|
query: "rate(foo[2s] @ 50) + bar @ 250 + baz @ 900", start: 100000, end: 500000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 48000, End: 50000, Step: 1000, Func: "rate", Range: 2000},
|
|
{Start: 245000, End: 250000, Step: 1000},
|
|
{Start: 895000, End: 900000, Step: 1000},
|
|
},
|
|
}, {
|
|
query: "rate(foo[2s:1s] @ 50) + bar + baz", start: 100000, end: 500000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 43000, End: 50000, Step: 1000, Func: "rate"},
|
|
{Start: 95000, End: 500000, Step: 1000},
|
|
{Start: 95000, End: 500000, Step: 1000},
|
|
},
|
|
}, {
|
|
query: "rate(foo[2s:1s] @ 50) + bar + rate(baz[2m:1s] @ 900 offset 2m) ", start: 100000, end: 500000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 43000, End: 50000, Step: 1000, Func: "rate"},
|
|
{Start: 95000, End: 500000, Step: 1000},
|
|
{Start: 655000, End: 780000, Step: 1000, Func: "rate"},
|
|
},
|
|
}, { // Hints are based on the inner most subquery timestamp.
|
|
query: `sum_over_time(sum_over_time(metric{job="1"}[100s])[100s:25s] @ 50)[3s:1s] @ 3000`, start: 100000,
|
|
expected: []*storage.SelectHints{
|
|
{Start: -150000, End: 50000, Range: 100000, Func: "sum_over_time", Step: 25000},
|
|
},
|
|
}, { // Hints are based on the inner most subquery timestamp.
|
|
query: `sum_over_time(sum_over_time(metric{job="1"}[100s])[100s:25s] @ 3000)[3s:1s] @ 50`,
|
|
expected: []*storage.SelectHints{
|
|
{Start: 2800000, End: 3000000, Range: 100000, Func: "sum_over_time", Step: 25000},
|
|
},
|
|
},
|
|
} {
|
|
t.Run(tc.query, func(t *testing.T) {
|
|
engine := NewEngine(opts)
|
|
hintsRecorder := &noopHintRecordingQueryable{}
|
|
|
|
var (
|
|
query Query
|
|
err error
|
|
)
|
|
ctx := context.Background()
|
|
|
|
if tc.end == 0 {
|
|
query, err = engine.NewInstantQuery(ctx, hintsRecorder, nil, tc.query, timestamp.Time(tc.start))
|
|
} else {
|
|
query, err = engine.NewRangeQuery(ctx, hintsRecorder, nil, tc.query, timestamp.Time(tc.start), timestamp.Time(tc.end), time.Second)
|
|
}
|
|
require.NoError(t, err)
|
|
|
|
res := query.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
require.Equal(t, tc.expected, hintsRecorder.hints)
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestEngineShutdown(t *testing.T) {
|
|
opts := EngineOpts{
|
|
Logger: nil,
|
|
Reg: nil,
|
|
MaxSamples: 10,
|
|
Timeout: 10 * time.Second,
|
|
}
|
|
engine := NewEngine(opts)
|
|
ctx, cancelCtx := context.WithCancel(context.Background())
|
|
|
|
block := make(chan struct{})
|
|
processing := make(chan struct{})
|
|
|
|
// Shutdown engine on first handler execution. Should handler execution ever become
|
|
// concurrent this test has to be adjusted accordingly.
|
|
f := func(ctx context.Context) error {
|
|
processing <- struct{}{}
|
|
<-block
|
|
return contextDone(ctx, "test statement execution")
|
|
}
|
|
query1 := engine.newTestQuery(f)
|
|
|
|
// Stopping the engine must cancel the base context. While executing queries is
|
|
// still possible, their context is canceled from the beginning and execution should
|
|
// terminate immediately.
|
|
|
|
var res *Result
|
|
go func() {
|
|
res = query1.Exec(ctx)
|
|
processing <- struct{}{}
|
|
}()
|
|
|
|
<-processing
|
|
cancelCtx()
|
|
block <- struct{}{}
|
|
<-processing
|
|
|
|
require.Error(t, res.Err, "expected error on shutdown during query but got none")
|
|
require.Equal(t, errQueryCanceled, res.Err)
|
|
|
|
query2 := engine.newTestQuery(func(context.Context) error {
|
|
require.FailNow(t, "reached query execution unexpectedly")
|
|
return nil
|
|
})
|
|
|
|
// The second query is started after the engine shut down. It must
|
|
// be canceled immediately.
|
|
res2 := query2.Exec(ctx)
|
|
require.Error(t, res2.Err, "expected error on querying with canceled context but got none")
|
|
|
|
var e ErrQueryCanceled
|
|
require.ErrorAs(t, res2.Err, &e, "expected cancellation error but got: %s", res2.Err)
|
|
}
|
|
|
|
func TestEngineEvalStmtTimestamps(t *testing.T) {
|
|
storage := LoadedStorage(t, `
|
|
load 10s
|
|
metric 1 2
|
|
`)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
cases := []struct {
|
|
Query string
|
|
Result parser.Value
|
|
Start time.Time
|
|
End time.Time
|
|
Interval time.Duration
|
|
ShouldError bool
|
|
}{
|
|
// Instant queries.
|
|
{
|
|
Query: "1",
|
|
Result: Scalar{V: 1, T: 1000},
|
|
Start: time.Unix(1, 0),
|
|
},
|
|
{
|
|
Query: "metric",
|
|
Result: Vector{
|
|
Sample{
|
|
F: 1,
|
|
T: 1000,
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
Start: time.Unix(1, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s]",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 2, T: 10000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
// Range queries.
|
|
{
|
|
Query: "1",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 1, T: 1000}, {F: 1, T: 2000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(2, 0),
|
|
Interval: time.Second,
|
|
},
|
|
{
|
|
Query: "metric",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 1, T: 1000}, {F: 1, T: 2000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(2, 0),
|
|
Interval: time.Second,
|
|
},
|
|
{
|
|
Query: "metric",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 1, T: 5000}, {F: 2, T: 10000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(10, 0),
|
|
Interval: 5 * time.Second,
|
|
},
|
|
{
|
|
Query: `count_values("wrong label!", metric)`,
|
|
ShouldError: true,
|
|
},
|
|
}
|
|
|
|
for i, c := range cases {
|
|
t.Run(fmt.Sprintf("%d query=%s", i, c.Query), func(t *testing.T) {
|
|
var err error
|
|
var qry Query
|
|
engine := newTestEngine()
|
|
if c.Interval == 0 {
|
|
qry, err = engine.NewInstantQuery(context.Background(), storage, nil, c.Query, c.Start)
|
|
} else {
|
|
qry, err = engine.NewRangeQuery(context.Background(), storage, nil, c.Query, c.Start, c.End, c.Interval)
|
|
}
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
if c.ShouldError {
|
|
require.Error(t, res.Err, "expected error for the query %q", c.Query)
|
|
return
|
|
}
|
|
|
|
require.NoError(t, res.Err)
|
|
require.Equal(t, c.Result, res.Value, "query %q failed", c.Query)
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestQueryStatistics(t *testing.T) {
|
|
storage := LoadedStorage(t, `
|
|
load 10s
|
|
metricWith1SampleEvery10Seconds 1+1x100
|
|
metricWith3SampleEvery10Seconds{a="1",b="1"} 1+1x100
|
|
metricWith3SampleEvery10Seconds{a="2",b="2"} 1+1x100
|
|
metricWith3SampleEvery10Seconds{a="3",b="2"} 1+1x100
|
|
metricWith1HistogramEvery10Seconds {{schema:1 count:5 sum:20 buckets:[1 2 1 1]}}+{{schema:1 count:10 sum:5 buckets:[1 2 3 4]}}x100
|
|
`)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
cases := []struct {
|
|
Query string
|
|
SkipMaxCheck bool
|
|
TotalSamples int64
|
|
TotalSamplesPerStep stats.TotalSamplesPerStep
|
|
PeakSamples int
|
|
Start time.Time
|
|
End time.Time
|
|
Interval time.Duration
|
|
}{
|
|
{
|
|
Query: `"literal string"`,
|
|
SkipMaxCheck: true, // This can't fail from a max samples limit.
|
|
Start: time.Unix(21, 0),
|
|
TotalSamples: 0,
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 0,
|
|
},
|
|
},
|
|
{
|
|
Query: "1",
|
|
Start: time.Unix(21, 0),
|
|
TotalSamples: 0,
|
|
PeakSamples: 1,
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 0,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds",
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 1,
|
|
TotalSamples: 1, // 1 sample / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1HistogramEvery10Seconds",
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 12,
|
|
TotalSamples: 12, // 1 histogram sample of size 12 / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 12,
|
|
},
|
|
},
|
|
{
|
|
// timestamp function has a special handling.
|
|
Query: "timestamp(metricWith1SampleEvery10Seconds)",
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 2,
|
|
TotalSamples: 1, // 1 sample / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: "timestamp(metricWith1HistogramEvery10Seconds)",
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 13, // histogram size 12 + 1 extra because of timestamp
|
|
TotalSamples: 1, // 1 float sample (because of timestamp) / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds",
|
|
Start: time.Unix(22, 0),
|
|
PeakSamples: 1,
|
|
TotalSamples: 1, // 1 sample / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
22000: 1, // Aligned to the step time, not the sample time.
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds offset 10s",
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 1,
|
|
TotalSamples: 1, // 1 sample / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds @ 15",
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 1,
|
|
TotalSamples: 1, // 1 sample / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith3SampleEvery10Seconds{a="1"}`,
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 1,
|
|
TotalSamples: 1, // 1 sample / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith3SampleEvery10Seconds{a="1"} @ 19`,
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 1,
|
|
TotalSamples: 1, // 1 sample / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith3SampleEvery10Seconds{a="1"}[20s] @ 19`,
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 2,
|
|
TotalSamples: 2, // (1 sample / 10 seconds) * 20s
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 2,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith3SampleEvery10Seconds",
|
|
Start: time.Unix(21, 0),
|
|
PeakSamples: 3,
|
|
TotalSamples: 3, // 3 samples / 10 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
21000: 3,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds[60s]",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 6,
|
|
TotalSamples: 6, // 1 sample / 10 seconds * 60 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 6,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1HistogramEvery10Seconds[60s]",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 72,
|
|
TotalSamples: 72, // 1 histogram (size 12) / 10 seconds * 60 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 72,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith1SampleEvery10Seconds[59s])[20s:5s]",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 10,
|
|
TotalSamples: 24, // (1 sample / 10 seconds * 60 seconds) * 20/5 (using 59s so we always return 6 samples
|
|
// as if we run a query on 00 looking back 60 seconds we will return 7 samples;
|
|
// see next test).
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 24,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith1SampleEvery10Seconds[60s])[20s:5s]",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 11,
|
|
TotalSamples: 26, // (1 sample / 10 seconds * 60 seconds) * 4 + 2 as
|
|
// max_over_time(metricWith1SampleEvery10Seconds[60s]) @ 190 and 200 will return 7 samples.
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 26,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith1HistogramEvery10Seconds[60s])[20s:5s]",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 72,
|
|
TotalSamples: 312, // (1 histogram (size 12) / 10 seconds * 60 seconds) * 4 + 2 * 12 as
|
|
// max_over_time(metricWith1SampleEvery10Seconds[60s]) @ 190 and 200 will return 7 samples.
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 312,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds[60s] @ 30",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 4,
|
|
TotalSamples: 4, // @ modifier force the evaluation to at 30 seconds - So it brings 4 datapoints (0, 10, 20, 30 seconds) * 1 series
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 4,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1HistogramEvery10Seconds[60s] @ 30",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 48,
|
|
TotalSamples: 48, // @ modifier force the evaluation to at 30 seconds - So it brings 4 datapoints (0, 10, 20, 30 seconds) * 1 series
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 48,
|
|
},
|
|
},
|
|
{
|
|
Query: "sum(max_over_time(metricWith3SampleEvery10Seconds[60s] @ 30))",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 7,
|
|
TotalSamples: 12, // @ modifier force the evaluation to at 30 seconds - So it brings 4 datapoints (0, 10, 20, 30 seconds) * 3 series
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 12,
|
|
},
|
|
},
|
|
{
|
|
Query: "sum by (b) (max_over_time(metricWith3SampleEvery10Seconds[60s] @ 30))",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 8,
|
|
TotalSamples: 12, // @ modifier force the evaluation to at 30 seconds - So it brings 4 datapoints (0, 10, 20, 30 seconds) * 3 series
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 12,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds[60s] offset 10s",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 6,
|
|
TotalSamples: 6, // 1 sample / 10 seconds * 60 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 6,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith3SampleEvery10Seconds[60s]",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 18,
|
|
TotalSamples: 18, // 3 sample / 10 seconds * 60 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 18,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith1SampleEvery10Seconds[60s])",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 7,
|
|
TotalSamples: 6, // 1 sample / 10 seconds * 60 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 6,
|
|
},
|
|
},
|
|
{
|
|
Query: "absent_over_time(metricWith1SampleEvery10Seconds[60s])",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 7,
|
|
TotalSamples: 6, // 1 sample / 10 seconds * 60 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 6,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith3SampleEvery10Seconds[60s])",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 9,
|
|
TotalSamples: 18, // 3 sample / 10 seconds * 60 seconds
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 18,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds[60s:5s]",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 12,
|
|
TotalSamples: 12, // 1 sample per query * 12 queries (60/5)
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 12,
|
|
},
|
|
},
|
|
{
|
|
Query: "metricWith1SampleEvery10Seconds[60s:5s] offset 10s",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 12,
|
|
TotalSamples: 12, // 1 sample per query * 12 queries (60/5)
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 12,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith3SampleEvery10Seconds[60s:5s])",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 51,
|
|
TotalSamples: 36, // 3 sample per query * 12 queries (60/5)
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 36,
|
|
},
|
|
},
|
|
{
|
|
Query: "sum(max_over_time(metricWith3SampleEvery10Seconds[60s:5s])) + sum(max_over_time(metricWith3SampleEvery10Seconds[60s:5s]))",
|
|
Start: time.Unix(201, 0),
|
|
PeakSamples: 52,
|
|
TotalSamples: 72, // 2 * (3 sample per query * 12 queries (60/5))
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 72,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith3SampleEvery10Seconds{a="1"}`,
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 4,
|
|
TotalSamples: 4, // 1 sample per query * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 1,
|
|
206000: 1,
|
|
211000: 1,
|
|
216000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith3SampleEvery10Seconds{a="1"}`,
|
|
Start: time.Unix(204, 0),
|
|
End: time.Unix(223, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 4,
|
|
TotalSamples: 4, // 1 sample per query * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
204000: 1, // aligned to the step time, not the sample time
|
|
209000: 1,
|
|
214000: 1,
|
|
219000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith1HistogramEvery10Seconds`,
|
|
Start: time.Unix(204, 0),
|
|
End: time.Unix(223, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 48,
|
|
TotalSamples: 48, // 1 histogram (size 12) per query * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
204000: 12, // aligned to the step time, not the sample time
|
|
209000: 12,
|
|
214000: 12,
|
|
219000: 12,
|
|
},
|
|
},
|
|
{
|
|
// timestamp function has a special handling
|
|
Query: "timestamp(metricWith1SampleEvery10Seconds)",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 5,
|
|
TotalSamples: 4, // 1 sample per query * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 1,
|
|
206000: 1,
|
|
211000: 1,
|
|
216000: 1,
|
|
},
|
|
},
|
|
{
|
|
// timestamp function has a special handling
|
|
Query: "timestamp(metricWith1HistogramEvery10Seconds)",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 16,
|
|
TotalSamples: 4, // 1 sample per query * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 1,
|
|
206000: 1,
|
|
211000: 1,
|
|
216000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: `max_over_time(metricWith3SampleEvery10Seconds{a="1"}[10s])`,
|
|
Start: time.Unix(991, 0),
|
|
End: time.Unix(1021, 0),
|
|
Interval: 10 * time.Second,
|
|
PeakSamples: 2,
|
|
TotalSamples: 2, // 1 sample per query * 2 steps with data
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
991000: 1,
|
|
1001000: 1,
|
|
1011000: 0,
|
|
1021000: 0,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith3SampleEvery10Seconds{a="1"} offset 10s`,
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 4,
|
|
TotalSamples: 4, // 1 sample per query * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 1,
|
|
206000: 1,
|
|
211000: 1,
|
|
216000: 1,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith3SampleEvery10Seconds[60s] @ 30)",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 12,
|
|
TotalSamples: 48, // @ modifier force the evaluation timestamp at 30 seconds - So it brings 4 datapoints (0, 10, 20, 30 seconds) * 3 series * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 12,
|
|
206000: 12,
|
|
211000: 12,
|
|
216000: 12,
|
|
},
|
|
},
|
|
{
|
|
Query: `metricWith3SampleEvery10Seconds`,
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
PeakSamples: 12,
|
|
Interval: 5 * time.Second,
|
|
TotalSamples: 12, // 3 sample per query * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 3,
|
|
206000: 3,
|
|
211000: 3,
|
|
216000: 3,
|
|
},
|
|
},
|
|
{
|
|
Query: `max_over_time(metricWith3SampleEvery10Seconds[60s])`,
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 18,
|
|
TotalSamples: 72, // (3 sample / 10 seconds * 60 seconds) * 4 steps = 72
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 18,
|
|
206000: 18,
|
|
211000: 18,
|
|
216000: 18,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith3SampleEvery10Seconds[60s:5s])",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 72,
|
|
TotalSamples: 144, // 3 sample per query * 12 queries (60/5) * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 36,
|
|
206000: 36,
|
|
211000: 36,
|
|
216000: 36,
|
|
},
|
|
},
|
|
{
|
|
Query: "max_over_time(metricWith1SampleEvery10Seconds[60s:5s])",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 32,
|
|
TotalSamples: 48, // 1 sample per query * 12 queries (60/5) * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 12,
|
|
206000: 12,
|
|
211000: 12,
|
|
216000: 12,
|
|
},
|
|
},
|
|
{
|
|
Query: "sum by (b) (max_over_time(metricWith1SampleEvery10Seconds[60s:5s]))",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 32,
|
|
TotalSamples: 48, // 1 sample per query * 12 queries (60/5) * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 12,
|
|
206000: 12,
|
|
211000: 12,
|
|
216000: 12,
|
|
},
|
|
},
|
|
{
|
|
Query: "sum(max_over_time(metricWith3SampleEvery10Seconds[60s:5s])) + sum(max_over_time(metricWith3SampleEvery10Seconds[60s:5s]))",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 76,
|
|
TotalSamples: 288, // 2 * (3 sample per query * 12 queries (60/5) * 4 steps)
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 72,
|
|
206000: 72,
|
|
211000: 72,
|
|
216000: 72,
|
|
},
|
|
},
|
|
{
|
|
Query: "sum(max_over_time(metricWith3SampleEvery10Seconds[60s:5s])) + sum(max_over_time(metricWith1SampleEvery10Seconds[60s:5s]))",
|
|
Start: time.Unix(201, 0),
|
|
End: time.Unix(220, 0),
|
|
Interval: 5 * time.Second,
|
|
PeakSamples: 72,
|
|
TotalSamples: 192, // (1 sample per query * 12 queries (60/5) + 3 sample per query * 12 queries (60/5)) * 4 steps
|
|
TotalSamplesPerStep: stats.TotalSamplesPerStep{
|
|
201000: 48,
|
|
206000: 48,
|
|
211000: 48,
|
|
216000: 48,
|
|
},
|
|
},
|
|
}
|
|
|
|
engine := newTestEngine()
|
|
engine.enablePerStepStats = true
|
|
origMaxSamples := engine.maxSamplesPerQuery
|
|
for _, c := range cases {
|
|
t.Run(c.Query, func(t *testing.T) {
|
|
opts := NewPrometheusQueryOpts(true, 0)
|
|
engine.maxSamplesPerQuery = origMaxSamples
|
|
|
|
runQuery := func(expErr error) *stats.Statistics {
|
|
var err error
|
|
var qry Query
|
|
if c.Interval == 0 {
|
|
qry, err = engine.NewInstantQuery(context.Background(), storage, opts, c.Query, c.Start)
|
|
} else {
|
|
qry, err = engine.NewRangeQuery(context.Background(), storage, opts, c.Query, c.Start, c.End, c.Interval)
|
|
}
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.Equal(t, expErr, res.Err)
|
|
|
|
return qry.Stats()
|
|
}
|
|
|
|
stats := runQuery(nil)
|
|
require.Equal(t, c.TotalSamples, stats.Samples.TotalSamples, "Total samples mismatch")
|
|
require.Equal(t, &c.TotalSamplesPerStep, stats.Samples.TotalSamplesPerStepMap(), "Total samples per time mismatch")
|
|
require.Equal(t, c.PeakSamples, stats.Samples.PeakSamples, "Peak samples mismatch")
|
|
|
|
// Check that the peak is correct by setting the max to one less.
|
|
if c.SkipMaxCheck {
|
|
return
|
|
}
|
|
engine.maxSamplesPerQuery = stats.Samples.PeakSamples - 1
|
|
runQuery(ErrTooManySamples(env))
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestMaxQuerySamples(t *testing.T) {
|
|
storage := LoadedStorage(t, `
|
|
load 10s
|
|
metric 1+1x100
|
|
bigmetric{a="1"} 1+1x100
|
|
bigmetric{a="2"} 1+1x100
|
|
`)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
// These test cases should be touching the limit exactly (hence no exceeding).
|
|
// Exceeding the limit will be tested by doing -1 to the MaxSamples.
|
|
cases := []struct {
|
|
Query string
|
|
MaxSamples int
|
|
Start time.Time
|
|
End time.Time
|
|
Interval time.Duration
|
|
}{
|
|
// Instant queries.
|
|
{
|
|
Query: "1",
|
|
MaxSamples: 1,
|
|
Start: time.Unix(1, 0),
|
|
},
|
|
{
|
|
Query: "metric",
|
|
MaxSamples: 1,
|
|
Start: time.Unix(1, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s]",
|
|
MaxSamples: 2,
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
{
|
|
Query: "rate(metric[20s])",
|
|
MaxSamples: 3,
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s]",
|
|
MaxSamples: 3,
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s] @ 10",
|
|
MaxSamples: 2,
|
|
Start: time.Unix(0, 0),
|
|
},
|
|
// Range queries.
|
|
{
|
|
Query: "1",
|
|
MaxSamples: 3,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(2, 0),
|
|
Interval: time.Second,
|
|
},
|
|
{
|
|
Query: "1",
|
|
MaxSamples: 3,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(2, 0),
|
|
Interval: time.Second,
|
|
},
|
|
{
|
|
Query: "metric",
|
|
MaxSamples: 3,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(2, 0),
|
|
Interval: time.Second,
|
|
},
|
|
{
|
|
Query: "metric",
|
|
MaxSamples: 3,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(10, 0),
|
|
Interval: 5 * time.Second,
|
|
},
|
|
{
|
|
Query: "rate(bigmetric[1s])",
|
|
MaxSamples: 1,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(10, 0),
|
|
Interval: 5 * time.Second,
|
|
},
|
|
{
|
|
// Result is duplicated, so @ also produces 3 samples.
|
|
Query: "metric @ 10",
|
|
MaxSamples: 3,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(10, 0),
|
|
Interval: 5 * time.Second,
|
|
},
|
|
{
|
|
// The peak samples in memory is during the first evaluation:
|
|
// - Subquery takes 22 samples, 11 for each bigmetric,
|
|
// - Result is calculated per series where the series samples is buffered, hence 11 more here.
|
|
// - The result of two series is added before the last series buffer is discarded, so 2 more here.
|
|
// Hence at peak it is 22 (subquery) + 11 (buffer of a series) + 2 (result from 2 series).
|
|
// The subquery samples and the buffer is discarded before duplicating.
|
|
Query: `rate(bigmetric[10s:1s] @ 10)`,
|
|
MaxSamples: 35,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(10, 0),
|
|
Interval: 5 * time.Second,
|
|
},
|
|
{
|
|
// Here the reasoning is same as above. But LHS and RHS are done one after another.
|
|
// So while one of them takes 35 samples at peak, we need to hold the 2 sample
|
|
// result of the other till then.
|
|
Query: `rate(bigmetric[10s:1s] @ 10) + rate(bigmetric[10s:1s] @ 30)`,
|
|
MaxSamples: 37,
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(10, 0),
|
|
Interval: 5 * time.Second,
|
|
},
|
|
{
|
|
// Sample as above but with only 1 part as step invariant.
|
|
// Here the peak is caused by the non-step invariant part as it touches more time range.
|
|
// Hence at peak it is 2*21 (subquery from 0s to 20s)
|
|
// + 11 (buffer of a series per evaluation)
|
|
// + 6 (result from 2 series at 3 eval times).
|
|
Query: `rate(bigmetric[10s:1s]) + rate(bigmetric[10s:1s] @ 30)`,
|
|
MaxSamples: 59,
|
|
Start: time.Unix(10, 0),
|
|
End: time.Unix(20, 0),
|
|
Interval: 5 * time.Second,
|
|
},
|
|
{
|
|
// Nested subquery.
|
|
// We saw that innermost rate takes 35 samples which is still the peak
|
|
// since the other two subqueries just duplicate the result.
|
|
Query: `rate(rate(bigmetric[10s:1s] @ 10)[100s:25s] @ 1000)[100s:20s] @ 2000`,
|
|
MaxSamples: 35,
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
{
|
|
// Nested subquery.
|
|
// Now the outmost subquery produces more samples than inner most rate.
|
|
Query: `rate(rate(bigmetric[10s:1s] @ 10)[100s:25s] @ 1000)[17s:1s] @ 2000`,
|
|
MaxSamples: 36,
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
}
|
|
|
|
for _, c := range cases {
|
|
t.Run(c.Query, func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
testFunc := func(expError error) {
|
|
var err error
|
|
var qry Query
|
|
if c.Interval == 0 {
|
|
qry, err = engine.NewInstantQuery(context.Background(), storage, nil, c.Query, c.Start)
|
|
} else {
|
|
qry, err = engine.NewRangeQuery(context.Background(), storage, nil, c.Query, c.Start, c.End, c.Interval)
|
|
}
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
stats := qry.Stats()
|
|
require.Equal(t, expError, res.Err)
|
|
require.NotNil(t, stats)
|
|
if expError == nil {
|
|
require.Equal(t, c.MaxSamples, stats.Samples.PeakSamples, "peak samples mismatch for query %q", c.Query)
|
|
}
|
|
}
|
|
|
|
// Within limit.
|
|
engine.maxSamplesPerQuery = c.MaxSamples
|
|
testFunc(nil)
|
|
|
|
// Exceeding limit.
|
|
engine.maxSamplesPerQuery = c.MaxSamples - 1
|
|
testFunc(ErrTooManySamples(env))
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestAtModifier(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := LoadedStorage(t, `
|
|
load 10s
|
|
metric{job="1"} 0+1x1000
|
|
metric{job="2"} 0+2x1000
|
|
metric_topk{instance="1"} 0+1x1000
|
|
metric_topk{instance="2"} 0+2x1000
|
|
metric_topk{instance="3"} 1000-1x1000
|
|
|
|
load 1ms
|
|
metric_ms 0+1x10000
|
|
`)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
lbls1 := labels.FromStrings("__name__", "metric", "job", "1")
|
|
lbls2 := labels.FromStrings("__name__", "metric", "job", "2")
|
|
lblstopk2 := labels.FromStrings("__name__", "metric_topk", "instance", "2")
|
|
lblstopk3 := labels.FromStrings("__name__", "metric_topk", "instance", "3")
|
|
lblsms := labels.FromStrings("__name__", "metric_ms")
|
|
lblsneg := labels.FromStrings("__name__", "metric_neg")
|
|
|
|
// Add some samples with negative timestamp.
|
|
db := storage.DB
|
|
app := db.Appender(context.Background())
|
|
ref, err := app.Append(0, lblsneg, -1000000, 1000)
|
|
require.NoError(t, err)
|
|
for ts := int64(-1000000 + 1000); ts <= 0; ts += 1000 {
|
|
_, err := app.Append(ref, labels.EmptyLabels(), ts, -float64(ts/1000)+1)
|
|
require.NoError(t, err)
|
|
}
|
|
|
|
// To test the fix for https://github.com/prometheus/prometheus/issues/8433.
|
|
_, err = app.Append(0, labels.FromStrings("__name__", "metric_timestamp"), 3600*1000, 1000)
|
|
require.NoError(t, err)
|
|
|
|
require.NoError(t, app.Commit())
|
|
|
|
cases := []struct {
|
|
query string
|
|
start, end, interval int64 // Time in seconds.
|
|
result parser.Value
|
|
}{
|
|
{ // Time of the result is the evaluation time.
|
|
query: `metric_neg @ 0`,
|
|
start: 100,
|
|
result: Vector{
|
|
Sample{F: 1, T: 100000, Metric: lblsneg},
|
|
},
|
|
}, {
|
|
query: `metric_neg @ -200`,
|
|
start: 100,
|
|
result: Vector{
|
|
Sample{F: 201, T: 100000, Metric: lblsneg},
|
|
},
|
|
}, {
|
|
query: `metric{job="2"} @ 50`,
|
|
start: -2, end: 2, interval: 1,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 10, T: -2000}, {F: 10, T: -1000}, {F: 10, T: 0}, {F: 10, T: 1000}, {F: 10, T: 2000}},
|
|
Metric: lbls2,
|
|
},
|
|
},
|
|
}, { // Timestamps for matrix selector does not depend on the evaluation time.
|
|
query: "metric[20s] @ 300",
|
|
start: 10,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 28, T: 280000}, {F: 29, T: 290000}, {F: 30, T: 300000}},
|
|
Metric: lbls1,
|
|
},
|
|
Series{
|
|
Floats: []FPoint{{F: 56, T: 280000}, {F: 58, T: 290000}, {F: 60, T: 300000}},
|
|
Metric: lbls2,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_neg[2s] @ 0`,
|
|
start: 100,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 3, T: -2000}, {F: 2, T: -1000}, {F: 1, T: 0}},
|
|
Metric: lblsneg,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_neg[3s] @ -500`,
|
|
start: 100,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 504, T: -503000}, {F: 503, T: -502000}, {F: 502, T: -501000}, {F: 501, T: -500000}},
|
|
Metric: lblsneg,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_ms[3ms] @ 2.345`,
|
|
start: 100,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 2342, T: 2342}, {F: 2343, T: 2343}, {F: 2344, T: 2344}, {F: 2345, T: 2345}},
|
|
Metric: lblsms,
|
|
},
|
|
},
|
|
}, {
|
|
query: "metric[100s:25s] @ 300",
|
|
start: 100,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 20, T: 200000}, {F: 22, T: 225000}, {F: 25, T: 250000}, {F: 27, T: 275000}, {F: 30, T: 300000}},
|
|
Metric: lbls1,
|
|
},
|
|
Series{
|
|
Floats: []FPoint{{F: 40, T: 200000}, {F: 44, T: 225000}, {F: 50, T: 250000}, {F: 54, T: 275000}, {F: 60, T: 300000}},
|
|
Metric: lbls2,
|
|
},
|
|
},
|
|
}, {
|
|
query: "metric_neg[50s:25s] @ 0",
|
|
start: 100,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 51, T: -50000}, {F: 26, T: -25000}, {F: 1, T: 0}},
|
|
Metric: lblsneg,
|
|
},
|
|
},
|
|
}, {
|
|
query: "metric_neg[50s:25s] @ -100",
|
|
start: 100,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 151, T: -150000}, {F: 126, T: -125000}, {F: 101, T: -100000}},
|
|
Metric: lblsneg,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_ms[100ms:25ms] @ 2.345`,
|
|
start: 100,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 2250, T: 2250}, {F: 2275, T: 2275}, {F: 2300, T: 2300}, {F: 2325, T: 2325}},
|
|
Metric: lblsms,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_topk and topk(1, sum_over_time(metric_topk[50s] @ 100))`,
|
|
start: 50, end: 80, interval: 10,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 995, T: 50000}, {F: 994, T: 60000}, {F: 993, T: 70000}, {F: 992, T: 80000}},
|
|
Metric: lblstopk3,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_topk and topk(1, sum_over_time(metric_topk[50s] @ 5000))`,
|
|
start: 50, end: 80, interval: 10,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 10, T: 50000}, {F: 12, T: 60000}, {F: 14, T: 70000}, {F: 16, T: 80000}},
|
|
Metric: lblstopk2,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_topk and topk(1, sum_over_time(metric_topk[50s] @ end()))`,
|
|
start: 70, end: 100, interval: 10,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 993, T: 70000}, {F: 992, T: 80000}, {F: 991, T: 90000}, {F: 990, T: 100000}},
|
|
Metric: lblstopk3,
|
|
},
|
|
},
|
|
}, {
|
|
query: `metric_topk and topk(1, sum_over_time(metric_topk[50s] @ start()))`,
|
|
start: 100, end: 130, interval: 10,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 990, T: 100000}, {F: 989, T: 110000}, {F: 988, T: 120000}, {F: 987, T: 130000}},
|
|
Metric: lblstopk3,
|
|
},
|
|
},
|
|
}, {
|
|
// Tests for https://github.com/prometheus/prometheus/issues/8433.
|
|
// The trick here is that the query range should be > lookback delta.
|
|
query: `timestamp(metric_timestamp @ 3600)`,
|
|
start: 0, end: 7 * 60, interval: 60,
|
|
result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{
|
|
{F: 3600, T: 0},
|
|
{F: 3600, T: 60 * 1000},
|
|
{F: 3600, T: 2 * 60 * 1000},
|
|
{F: 3600, T: 3 * 60 * 1000},
|
|
{F: 3600, T: 4 * 60 * 1000},
|
|
{F: 3600, T: 5 * 60 * 1000},
|
|
{F: 3600, T: 6 * 60 * 1000},
|
|
{F: 3600, T: 7 * 60 * 1000},
|
|
},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
for _, c := range cases {
|
|
t.Run(c.query, func(t *testing.T) {
|
|
if c.interval == 0 {
|
|
c.interval = 1
|
|
}
|
|
start, end, interval := time.Unix(c.start, 0), time.Unix(c.end, 0), time.Duration(c.interval)*time.Second
|
|
var err error
|
|
var qry Query
|
|
if c.end == 0 {
|
|
qry, err = engine.NewInstantQuery(context.Background(), storage, nil, c.query, start)
|
|
} else {
|
|
qry, err = engine.NewRangeQuery(context.Background(), storage, nil, c.query, start, end, interval)
|
|
}
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
if expMat, ok := c.result.(Matrix); ok {
|
|
sort.Sort(expMat)
|
|
sort.Sort(res.Value.(Matrix))
|
|
}
|
|
testutil.RequireEqual(t, c.result, res.Value, "query %q failed", c.query)
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestRecoverEvaluatorRuntime(t *testing.T) {
|
|
var output []interface{}
|
|
logger := log.Logger(log.LoggerFunc(func(keyvals ...interface{}) error {
|
|
output = append(output, keyvals...)
|
|
return nil
|
|
}))
|
|
ev := &evaluator{logger: logger}
|
|
|
|
expr, _ := parser.ParseExpr("sum(up)")
|
|
|
|
var err error
|
|
|
|
defer func() {
|
|
require.EqualError(t, err, "unexpected error: runtime error: index out of range [123] with length 0")
|
|
require.Contains(t, output, "sum(up)")
|
|
}()
|
|
defer ev.recover(expr, nil, &err)
|
|
|
|
// Cause a runtime panic.
|
|
var a []int
|
|
a[123] = 1
|
|
}
|
|
|
|
func TestRecoverEvaluatorError(t *testing.T) {
|
|
ev := &evaluator{logger: log.NewNopLogger()}
|
|
var err error
|
|
|
|
e := errors.New("custom error")
|
|
|
|
defer func() {
|
|
require.EqualError(t, err, e.Error())
|
|
}()
|
|
defer ev.recover(nil, nil, &err)
|
|
|
|
panic(e)
|
|
}
|
|
|
|
func TestRecoverEvaluatorErrorWithWarnings(t *testing.T) {
|
|
ev := &evaluator{logger: log.NewNopLogger()}
|
|
var err error
|
|
var ws annotations.Annotations
|
|
|
|
warnings := annotations.New().Add(errors.New("custom warning"))
|
|
e := errWithWarnings{
|
|
err: errors.New("custom error"),
|
|
warnings: warnings,
|
|
}
|
|
|
|
defer func() {
|
|
require.EqualError(t, err, e.Error())
|
|
require.Equal(t, warnings, ws, "wrong warning message")
|
|
}()
|
|
defer ev.recover(nil, &ws, &err)
|
|
|
|
panic(e)
|
|
}
|
|
|
|
func TestSubquerySelector(t *testing.T) {
|
|
type caseType struct {
|
|
Query string
|
|
Result Result
|
|
Start time.Time
|
|
}
|
|
|
|
for _, tst := range []struct {
|
|
loadString string
|
|
cases []caseType
|
|
}{
|
|
{
|
|
loadString: `load 10s
|
|
metric 1 2`,
|
|
cases: []caseType{
|
|
{
|
|
Query: "metric[20s:10s]",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 2, T: 10000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s]",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 1, T: 5000}, {F: 2, T: 10000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(10, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s] offset 2s",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 1, T: 5000}, {F: 2, T: 10000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(12, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s] offset 6s",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 1, T: 5000}, {F: 2, T: 10000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(20, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s] offset 4s",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 2, T: 15000}, {F: 2, T: 20000}, {F: 2, T: 25000}, {F: 2, T: 30000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(35, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s] offset 5s",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 2, T: 10000}, {F: 2, T: 15000}, {F: 2, T: 20000}, {F: 2, T: 25000}, {F: 2, T: 30000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(35, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s] offset 6s",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 2, T: 10000}, {F: 2, T: 15000}, {F: 2, T: 20000}, {F: 2, T: 25000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(35, 0),
|
|
},
|
|
{
|
|
Query: "metric[20s:5s] offset 7s",
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 2, T: 10000}, {F: 2, T: 15000}, {F: 2, T: 20000}, {F: 2, T: 25000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(35, 0),
|
|
},
|
|
},
|
|
},
|
|
{
|
|
loadString: `load 10s
|
|
http_requests{job="api-server", instance="0", group="production"} 0+10x1000 100+30x1000
|
|
http_requests{job="api-server", instance="1", group="production"} 0+20x1000 200+30x1000
|
|
http_requests{job="api-server", instance="0", group="canary"} 0+30x1000 300+80x1000
|
|
http_requests{job="api-server", instance="1", group="canary"} 0+40x2000`,
|
|
cases: []caseType{
|
|
{ // Normal selector.
|
|
Query: `http_requests{group=~"pro.*",instance="0"}[30s:10s]`,
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 9990, T: 9990000}, {F: 10000, T: 10000000}, {F: 100, T: 10010000}, {F: 130, T: 10020000}},
|
|
Metric: labels.FromStrings("__name__", "http_requests", "job", "api-server", "instance", "0", "group", "production"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(10020, 0),
|
|
},
|
|
{ // Default step.
|
|
Query: `http_requests{group=~"pro.*",instance="0"}[5m:]`,
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 9840, T: 9840000}, {F: 9900, T: 9900000}, {F: 9960, T: 9960000}, {F: 130, T: 10020000}, {F: 310, T: 10080000}},
|
|
Metric: labels.FromStrings("__name__", "http_requests", "job", "api-server", "instance", "0", "group", "production"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(10100, 0),
|
|
},
|
|
{ // Checking if high offset (>LookbackDelta) is being taken care of.
|
|
Query: `http_requests{group=~"pro.*",instance="0"}[5m:] offset 20m`,
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 8640, T: 8640000}, {F: 8700, T: 8700000}, {F: 8760, T: 8760000}, {F: 8820, T: 8820000}, {F: 8880, T: 8880000}},
|
|
Metric: labels.FromStrings("__name__", "http_requests", "job", "api-server", "instance", "0", "group", "production"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(10100, 0),
|
|
},
|
|
{
|
|
Query: `rate(http_requests[1m])[15s:5s]`,
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 3, T: 7985000}, {F: 3, T: 7990000}, {F: 3, T: 7995000}, {F: 3, T: 8000000}},
|
|
Metric: labels.FromStrings("job", "api-server", "instance", "0", "group", "canary"),
|
|
},
|
|
Series{
|
|
Floats: []FPoint{{F: 4, T: 7985000}, {F: 4, T: 7990000}, {F: 4, T: 7995000}, {F: 4, T: 8000000}},
|
|
Metric: labels.FromStrings("job", "api-server", "instance", "1", "group", "canary"),
|
|
},
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 7985000}, {F: 1, T: 7990000}, {F: 1, T: 7995000}, {F: 1, T: 8000000}},
|
|
Metric: labels.FromStrings("job", "api-server", "instance", "0", "group", "production"),
|
|
},
|
|
Series{
|
|
Floats: []FPoint{{F: 2, T: 7985000}, {F: 2, T: 7990000}, {F: 2, T: 7995000}, {F: 2, T: 8000000}},
|
|
Metric: labels.FromStrings("job", "api-server", "instance", "1", "group", "production"),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(8000, 0),
|
|
},
|
|
{
|
|
Query: `sum(http_requests{group=~"pro.*"})[30s:10s]`,
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 270, T: 90000}, {F: 300, T: 100000}, {F: 330, T: 110000}, {F: 360, T: 120000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(120, 0),
|
|
},
|
|
{
|
|
Query: `sum(http_requests)[40s:10s]`,
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 800, T: 80000}, {F: 900, T: 90000}, {F: 1000, T: 100000}, {F: 1100, T: 110000}, {F: 1200, T: 120000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(120, 0),
|
|
},
|
|
{
|
|
Query: `(sum(http_requests{group=~"p.*"})+sum(http_requests{group=~"c.*"}))[20s:5s]`,
|
|
Result: Result{
|
|
nil,
|
|
Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1000, T: 100000}, {F: 1000, T: 105000}, {F: 1100, T: 110000}, {F: 1100, T: 115000}, {F: 1200, T: 120000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
nil,
|
|
},
|
|
Start: time.Unix(120, 0),
|
|
},
|
|
},
|
|
},
|
|
} {
|
|
t.Run("", func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := LoadedStorage(t, tst.loadString)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
for _, c := range tst.cases {
|
|
t.Run(c.Query, func(t *testing.T) {
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, c.Query, c.Start)
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.Equal(t, c.Result.Err, res.Err)
|
|
mat := res.Value.(Matrix)
|
|
sort.Sort(mat)
|
|
testutil.RequireEqual(t, c.Result.Value, mat)
|
|
})
|
|
}
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestTimestampFunction_StepsMoreOftenThanSamples(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := LoadedStorage(t, `
|
|
load 1m
|
|
metric 0+1x1000
|
|
`)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
query := "timestamp(metric)"
|
|
start := time.Unix(0, 0)
|
|
end := time.Unix(61, 0)
|
|
interval := time.Second
|
|
|
|
// We expect the value to be 0 for t=0s to t=59s (inclusive), then 60 for t=60s and t=61s.
|
|
expectedPoints := []FPoint{}
|
|
|
|
for t := 0; t <= 59; t++ {
|
|
expectedPoints = append(expectedPoints, FPoint{F: 0, T: int64(t * 1000)})
|
|
}
|
|
|
|
expectedPoints = append(
|
|
expectedPoints,
|
|
FPoint{F: 60, T: 60_000},
|
|
FPoint{F: 60, T: 61_000},
|
|
)
|
|
|
|
expectedResult := Matrix{
|
|
Series{
|
|
Floats: expectedPoints,
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
}
|
|
|
|
qry, err := engine.NewRangeQuery(context.Background(), storage, nil, query, start, end, interval)
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
testutil.RequireEqual(t, expectedResult, res.Value)
|
|
}
|
|
|
|
type FakeQueryLogger struct {
|
|
closed bool
|
|
logs []interface{}
|
|
}
|
|
|
|
func NewFakeQueryLogger() *FakeQueryLogger {
|
|
return &FakeQueryLogger{
|
|
closed: false,
|
|
logs: make([]interface{}, 0),
|
|
}
|
|
}
|
|
|
|
func (f *FakeQueryLogger) Close() error {
|
|
f.closed = true
|
|
return nil
|
|
}
|
|
|
|
func (f *FakeQueryLogger) Log(l ...interface{}) error {
|
|
f.logs = append(f.logs, l...)
|
|
return nil
|
|
}
|
|
|
|
func TestQueryLogger_basic(t *testing.T) {
|
|
opts := EngineOpts{
|
|
Logger: nil,
|
|
Reg: nil,
|
|
MaxSamples: 10,
|
|
Timeout: 10 * time.Second,
|
|
}
|
|
engine := NewEngine(opts)
|
|
|
|
queryExec := func() {
|
|
ctx, cancelCtx := context.WithCancel(context.Background())
|
|
defer cancelCtx()
|
|
query := engine.newTestQuery(func(ctx context.Context) error {
|
|
return contextDone(ctx, "test statement execution")
|
|
})
|
|
res := query.Exec(ctx)
|
|
require.NoError(t, res.Err)
|
|
}
|
|
|
|
// Query works without query log initialized.
|
|
queryExec()
|
|
|
|
f1 := NewFakeQueryLogger()
|
|
engine.SetQueryLogger(f1)
|
|
queryExec()
|
|
for i, field := range []interface{}{"params", map[string]interface{}{"query": "test statement"}} {
|
|
require.Equal(t, field, f1.logs[i])
|
|
}
|
|
|
|
l := len(f1.logs)
|
|
queryExec()
|
|
require.Len(t, f1.logs, 2*l)
|
|
|
|
// Test that we close the query logger when unsetting it.
|
|
require.False(t, f1.closed, "expected f1 to be open, got closed")
|
|
engine.SetQueryLogger(nil)
|
|
require.True(t, f1.closed, "expected f1 to be closed, got open")
|
|
queryExec()
|
|
|
|
// Test that we close the query logger when swapping.
|
|
f2 := NewFakeQueryLogger()
|
|
f3 := NewFakeQueryLogger()
|
|
engine.SetQueryLogger(f2)
|
|
require.False(t, f2.closed, "expected f2 to be open, got closed")
|
|
queryExec()
|
|
engine.SetQueryLogger(f3)
|
|
require.True(t, f2.closed, "expected f2 to be closed, got open")
|
|
require.False(t, f3.closed, "expected f3 to be open, got closed")
|
|
queryExec()
|
|
}
|
|
|
|
func TestQueryLogger_fields(t *testing.T) {
|
|
opts := EngineOpts{
|
|
Logger: nil,
|
|
Reg: nil,
|
|
MaxSamples: 10,
|
|
Timeout: 10 * time.Second,
|
|
}
|
|
engine := NewEngine(opts)
|
|
|
|
f1 := NewFakeQueryLogger()
|
|
engine.SetQueryLogger(f1)
|
|
|
|
ctx, cancelCtx := context.WithCancel(context.Background())
|
|
ctx = NewOriginContext(ctx, map[string]interface{}{"foo": "bar"})
|
|
defer cancelCtx()
|
|
query := engine.newTestQuery(func(ctx context.Context) error {
|
|
return contextDone(ctx, "test statement execution")
|
|
})
|
|
|
|
res := query.Exec(ctx)
|
|
require.NoError(t, res.Err)
|
|
|
|
expected := []string{"foo", "bar"}
|
|
for i, field := range expected {
|
|
v := f1.logs[len(f1.logs)-len(expected)+i].(string)
|
|
require.Equal(t, field, v)
|
|
}
|
|
}
|
|
|
|
func TestQueryLogger_error(t *testing.T) {
|
|
opts := EngineOpts{
|
|
Logger: nil,
|
|
Reg: nil,
|
|
MaxSamples: 10,
|
|
Timeout: 10 * time.Second,
|
|
}
|
|
engine := NewEngine(opts)
|
|
|
|
f1 := NewFakeQueryLogger()
|
|
engine.SetQueryLogger(f1)
|
|
|
|
ctx, cancelCtx := context.WithCancel(context.Background())
|
|
ctx = NewOriginContext(ctx, map[string]interface{}{"foo": "bar"})
|
|
defer cancelCtx()
|
|
testErr := errors.New("failure")
|
|
query := engine.newTestQuery(func(ctx context.Context) error {
|
|
return testErr
|
|
})
|
|
|
|
res := query.Exec(ctx)
|
|
require.Error(t, res.Err, "query should have failed")
|
|
|
|
for i, field := range []interface{}{"params", map[string]interface{}{"query": "test statement"}, "error", testErr} {
|
|
require.Equal(t, f1.logs[i], field)
|
|
}
|
|
}
|
|
|
|
func TestPreprocessAndWrapWithStepInvariantExpr(t *testing.T) {
|
|
startTime := time.Unix(1000, 0)
|
|
endTime := time.Unix(9999, 0)
|
|
testCases := []struct {
|
|
input string // The input to be parsed.
|
|
expected parser.Expr // The expected expression AST.
|
|
outputTest bool
|
|
}{
|
|
{
|
|
input: "123.4567",
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.NumberLiteral{
|
|
Val: 123.4567,
|
|
PosRange: posrange.PositionRange{Start: 0, End: 8},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `"foo"`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.StringLiteral{
|
|
Val: "foo",
|
|
PosRange: posrange.PositionRange{Start: 0, End: 5},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "foo * bar",
|
|
expected: &parser.BinaryExpr{
|
|
Op: parser.MUL,
|
|
LHS: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 3,
|
|
},
|
|
},
|
|
RHS: &parser.VectorSelector{
|
|
Name: "bar",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "bar"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 6,
|
|
End: 9,
|
|
},
|
|
},
|
|
VectorMatching: &parser.VectorMatching{Card: parser.CardOneToOne},
|
|
},
|
|
},
|
|
{
|
|
input: "foo * bar @ 10",
|
|
expected: &parser.BinaryExpr{
|
|
Op: parser.MUL,
|
|
LHS: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 3,
|
|
},
|
|
},
|
|
RHS: &parser.StepInvariantExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "bar",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "bar"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 6,
|
|
End: 14,
|
|
},
|
|
Timestamp: makeInt64Pointer(10000),
|
|
},
|
|
},
|
|
VectorMatching: &parser.VectorMatching{Card: parser.CardOneToOne},
|
|
},
|
|
},
|
|
{
|
|
input: "foo @ 20 * bar @ 10",
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.BinaryExpr{
|
|
Op: parser.MUL,
|
|
LHS: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 8,
|
|
},
|
|
Timestamp: makeInt64Pointer(20000),
|
|
},
|
|
RHS: &parser.VectorSelector{
|
|
Name: "bar",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "bar"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 11,
|
|
End: 19,
|
|
},
|
|
Timestamp: makeInt64Pointer(10000),
|
|
},
|
|
VectorMatching: &parser.VectorMatching{Card: parser.CardOneToOne},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "test[5s]",
|
|
expected: &parser.MatrixSelector{
|
|
VectorSelector: &parser.VectorSelector{
|
|
Name: "test",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "test"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 4,
|
|
},
|
|
},
|
|
Range: 5 * time.Second,
|
|
EndPos: 8,
|
|
},
|
|
},
|
|
{
|
|
input: `test{a="b"}[5y] @ 1603774699`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.MatrixSelector{
|
|
VectorSelector: &parser.VectorSelector{
|
|
Name: "test",
|
|
Timestamp: makeInt64Pointer(1603774699000),
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "a", "b"),
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "test"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 11,
|
|
},
|
|
},
|
|
Range: 5 * 365 * 24 * time.Hour,
|
|
EndPos: 28,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "sum by (foo)(some_metric)",
|
|
expected: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 13,
|
|
End: 24,
|
|
},
|
|
},
|
|
Grouping: []string{"foo"},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 25,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "sum by (foo)(some_metric @ 10)",
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 13,
|
|
End: 29,
|
|
},
|
|
Timestamp: makeInt64Pointer(10000),
|
|
},
|
|
Grouping: []string{"foo"},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 30,
|
|
},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "sum(some_metric1 @ 10) + sum(some_metric2 @ 20)",
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.BinaryExpr{
|
|
Op: parser.ADD,
|
|
VectorMatching: &parser.VectorMatching{},
|
|
LHS: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric1",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric1"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 4,
|
|
End: 21,
|
|
},
|
|
Timestamp: makeInt64Pointer(10000),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 22,
|
|
},
|
|
},
|
|
RHS: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric2",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric2"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 29,
|
|
End: 46,
|
|
},
|
|
Timestamp: makeInt64Pointer(20000),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 25,
|
|
End: 47,
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "some_metric and topk(5, rate(some_metric[1m] @ 20))",
|
|
expected: &parser.BinaryExpr{
|
|
Op: parser.LAND,
|
|
VectorMatching: &parser.VectorMatching{
|
|
Card: parser.CardManyToMany,
|
|
},
|
|
LHS: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 11,
|
|
},
|
|
},
|
|
RHS: &parser.StepInvariantExpr{
|
|
Expr: &parser.AggregateExpr{
|
|
Op: parser.TOPK,
|
|
Expr: &parser.Call{
|
|
Func: parser.MustGetFunction("rate"),
|
|
Args: parser.Expressions{
|
|
&parser.MatrixSelector{
|
|
VectorSelector: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 29,
|
|
End: 40,
|
|
},
|
|
Timestamp: makeInt64Pointer(20000),
|
|
},
|
|
Range: 1 * time.Minute,
|
|
EndPos: 49,
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 24,
|
|
End: 50,
|
|
},
|
|
},
|
|
Param: &parser.NumberLiteral{
|
|
Val: 5,
|
|
PosRange: posrange.PositionRange{
|
|
Start: 21,
|
|
End: 22,
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 16,
|
|
End: 51,
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "time()",
|
|
expected: &parser.Call{
|
|
Func: parser.MustGetFunction("time"),
|
|
Args: parser.Expressions{},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 6,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `foo{bar="baz"}[10m:6s]`,
|
|
expected: &parser.SubqueryExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "bar", "baz"),
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 14,
|
|
},
|
|
},
|
|
Range: 10 * time.Minute,
|
|
Step: 6 * time.Second,
|
|
EndPos: 22,
|
|
},
|
|
},
|
|
{
|
|
input: `foo{bar="baz"}[10m:6s] @ 10`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.SubqueryExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "bar", "baz"),
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 14,
|
|
},
|
|
},
|
|
Range: 10 * time.Minute,
|
|
Step: 6 * time.Second,
|
|
Timestamp: makeInt64Pointer(10000),
|
|
EndPos: 27,
|
|
},
|
|
},
|
|
},
|
|
{ // Even though the subquery is step invariant, the inside is also wrapped separately.
|
|
input: `sum(foo{bar="baz"} @ 20)[10m:6s] @ 10`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.SubqueryExpr{
|
|
Expr: &parser.StepInvariantExpr{
|
|
Expr: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "bar", "baz"),
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 4,
|
|
End: 23,
|
|
},
|
|
Timestamp: makeInt64Pointer(20000),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 24,
|
|
},
|
|
},
|
|
},
|
|
Range: 10 * time.Minute,
|
|
Step: 6 * time.Second,
|
|
Timestamp: makeInt64Pointer(10000),
|
|
EndPos: 37,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `min_over_time(rate(foo{bar="baz"}[2s])[5m:] @ 1603775091)[4m:3s]`,
|
|
expected: &parser.SubqueryExpr{
|
|
Expr: &parser.StepInvariantExpr{
|
|
Expr: &parser.Call{
|
|
Func: parser.MustGetFunction("min_over_time"),
|
|
Args: parser.Expressions{
|
|
&parser.SubqueryExpr{
|
|
Expr: &parser.Call{
|
|
Func: parser.MustGetFunction("rate"),
|
|
Args: parser.Expressions{
|
|
&parser.MatrixSelector{
|
|
VectorSelector: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "bar", "baz"),
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 19,
|
|
End: 33,
|
|
},
|
|
},
|
|
Range: 2 * time.Second,
|
|
EndPos: 37,
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 14,
|
|
End: 38,
|
|
},
|
|
},
|
|
Range: 5 * time.Minute,
|
|
Timestamp: makeInt64Pointer(1603775091000),
|
|
EndPos: 56,
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 57,
|
|
},
|
|
},
|
|
},
|
|
Range: 4 * time.Minute,
|
|
Step: 3 * time.Second,
|
|
EndPos: 64,
|
|
},
|
|
},
|
|
{
|
|
input: `some_metric @ 123 offset 1m [10m:5s]`,
|
|
expected: &parser.SubqueryExpr{
|
|
Expr: &parser.StepInvariantExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 27,
|
|
},
|
|
Timestamp: makeInt64Pointer(123000),
|
|
OriginalOffset: 1 * time.Minute,
|
|
},
|
|
},
|
|
Range: 10 * time.Minute,
|
|
Step: 5 * time.Second,
|
|
EndPos: 36,
|
|
},
|
|
},
|
|
{
|
|
input: `some_metric[10m:5s] offset 1m @ 123`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.SubqueryExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 11,
|
|
},
|
|
},
|
|
Timestamp: makeInt64Pointer(123000),
|
|
OriginalOffset: 1 * time.Minute,
|
|
Range: 10 * time.Minute,
|
|
Step: 5 * time.Second,
|
|
EndPos: 35,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `(foo + bar{nm="val"} @ 1234)[5m:] @ 1603775019`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.SubqueryExpr{
|
|
Expr: &parser.ParenExpr{
|
|
Expr: &parser.BinaryExpr{
|
|
Op: parser.ADD,
|
|
VectorMatching: &parser.VectorMatching{
|
|
Card: parser.CardOneToOne,
|
|
},
|
|
LHS: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 1,
|
|
End: 4,
|
|
},
|
|
},
|
|
RHS: &parser.StepInvariantExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "bar",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "nm", "val"),
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "bar"),
|
|
},
|
|
Timestamp: makeInt64Pointer(1234000),
|
|
PosRange: posrange.PositionRange{
|
|
Start: 7,
|
|
End: 27,
|
|
},
|
|
},
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 28,
|
|
},
|
|
},
|
|
Range: 5 * time.Minute,
|
|
Timestamp: makeInt64Pointer(1603775019000),
|
|
EndPos: 46,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "abs(abs(metric @ 10))",
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.Call{
|
|
Func: &parser.Function{
|
|
Name: "abs",
|
|
ArgTypes: []parser.ValueType{parser.ValueTypeVector},
|
|
ReturnType: parser.ValueTypeVector,
|
|
},
|
|
Args: parser.Expressions{&parser.Call{
|
|
Func: &parser.Function{
|
|
Name: "abs",
|
|
ArgTypes: []parser.ValueType{parser.ValueTypeVector},
|
|
ReturnType: parser.ValueTypeVector,
|
|
},
|
|
Args: parser.Expressions{&parser.VectorSelector{
|
|
Name: "metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 8,
|
|
End: 19,
|
|
},
|
|
Timestamp: makeInt64Pointer(10000),
|
|
}},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 4,
|
|
End: 20,
|
|
},
|
|
}},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 21,
|
|
},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: "sum(sum(some_metric1 @ 10) + sum(some_metric2 @ 20))",
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.BinaryExpr{
|
|
Op: parser.ADD,
|
|
VectorMatching: &parser.VectorMatching{},
|
|
LHS: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric1",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric1"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 8,
|
|
End: 25,
|
|
},
|
|
Timestamp: makeInt64Pointer(10000),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 4,
|
|
End: 26,
|
|
},
|
|
},
|
|
RHS: &parser.AggregateExpr{
|
|
Op: parser.SUM,
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric2",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric2"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 33,
|
|
End: 50,
|
|
},
|
|
Timestamp: makeInt64Pointer(20000),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 29,
|
|
End: 52,
|
|
},
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 52,
|
|
},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `foo @ start()`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 13,
|
|
},
|
|
Timestamp: makeInt64Pointer(timestamp.FromTime(startTime)),
|
|
StartOrEnd: parser.START,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `foo @ end()`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "foo",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "foo"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 11,
|
|
},
|
|
Timestamp: makeInt64Pointer(timestamp.FromTime(endTime)),
|
|
StartOrEnd: parser.END,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `test[5y] @ start()`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.MatrixSelector{
|
|
VectorSelector: &parser.VectorSelector{
|
|
Name: "test",
|
|
Timestamp: makeInt64Pointer(timestamp.FromTime(startTime)),
|
|
StartOrEnd: parser.START,
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "test"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 4,
|
|
},
|
|
},
|
|
Range: 5 * 365 * 24 * time.Hour,
|
|
EndPos: 18,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `test[5y] @ end()`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.MatrixSelector{
|
|
VectorSelector: &parser.VectorSelector{
|
|
Name: "test",
|
|
Timestamp: makeInt64Pointer(timestamp.FromTime(endTime)),
|
|
StartOrEnd: parser.END,
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "test"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 4,
|
|
},
|
|
},
|
|
Range: 5 * 365 * 24 * time.Hour,
|
|
EndPos: 16,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `some_metric[10m:5s] @ start()`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.SubqueryExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 11,
|
|
},
|
|
},
|
|
Timestamp: makeInt64Pointer(timestamp.FromTime(startTime)),
|
|
StartOrEnd: parser.START,
|
|
Range: 10 * time.Minute,
|
|
Step: 5 * time.Second,
|
|
EndPos: 29,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `some_metric[10m:5s] @ end()`,
|
|
expected: &parser.StepInvariantExpr{
|
|
Expr: &parser.SubqueryExpr{
|
|
Expr: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 11,
|
|
},
|
|
},
|
|
Timestamp: makeInt64Pointer(timestamp.FromTime(endTime)),
|
|
StartOrEnd: parser.END,
|
|
Range: 10 * time.Minute,
|
|
Step: 5 * time.Second,
|
|
EndPos: 27,
|
|
},
|
|
},
|
|
},
|
|
{
|
|
input: `floor(some_metric / (3 * 1024))`,
|
|
outputTest: true,
|
|
expected: &parser.Call{
|
|
Func: &parser.Function{
|
|
Name: "floor",
|
|
ArgTypes: []parser.ValueType{parser.ValueTypeVector},
|
|
ReturnType: parser.ValueTypeVector,
|
|
},
|
|
Args: parser.Expressions{
|
|
&parser.BinaryExpr{
|
|
Op: parser.DIV,
|
|
LHS: &parser.VectorSelector{
|
|
Name: "some_metric",
|
|
LabelMatchers: []*labels.Matcher{
|
|
parser.MustLabelMatcher(labels.MatchEqual, "__name__", "some_metric"),
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 6,
|
|
End: 17,
|
|
},
|
|
},
|
|
RHS: &parser.StepInvariantExpr{
|
|
Expr: &parser.ParenExpr{
|
|
Expr: &parser.BinaryExpr{
|
|
Op: parser.MUL,
|
|
LHS: &parser.NumberLiteral{
|
|
Val: 3,
|
|
PosRange: posrange.PositionRange{
|
|
Start: 21,
|
|
End: 22,
|
|
},
|
|
},
|
|
RHS: &parser.NumberLiteral{
|
|
Val: 1024,
|
|
PosRange: posrange.PositionRange{
|
|
Start: 25,
|
|
End: 29,
|
|
},
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 20,
|
|
End: 30,
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
PosRange: posrange.PositionRange{
|
|
Start: 0,
|
|
End: 31,
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
for _, test := range testCases {
|
|
t.Run(test.input, func(t *testing.T) {
|
|
expr, err := parser.ParseExpr(test.input)
|
|
require.NoError(t, err)
|
|
expr = PreprocessExpr(expr, startTime, endTime)
|
|
if test.outputTest {
|
|
require.Equal(t, test.input, expr.String(), "error on input '%s'", test.input)
|
|
}
|
|
require.Equal(t, test.expected, expr, "error on input '%s'", test.input)
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestEngineOptsValidation(t *testing.T) {
|
|
cases := []struct {
|
|
opts EngineOpts
|
|
query string
|
|
fail bool
|
|
expError error
|
|
}{
|
|
{
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "metric @ 100", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "rate(metric[1m] @ 100)", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "rate(metric[1h:1m] @ 100)", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "metric @ start()", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "rate(metric[1m] @ start())", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "rate(metric[1h:1m] @ start())", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "metric @ end()", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "rate(metric[1m] @ end())", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: false},
|
|
query: "rate(metric[1h:1m] @ end())", fail: true, expError: ErrValidationAtModifierDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: true},
|
|
query: "metric @ 100",
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: true},
|
|
query: "rate(metric[1m] @ start())",
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: true},
|
|
query: "rate(metric[1h:1m] @ end())",
|
|
}, {
|
|
opts: EngineOpts{EnableNegativeOffset: false},
|
|
query: "metric offset -1s", fail: true, expError: ErrValidationNegativeOffsetDisabled,
|
|
}, {
|
|
opts: EngineOpts{EnableNegativeOffset: true},
|
|
query: "metric offset -1s",
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: true, EnableNegativeOffset: true},
|
|
query: "metric @ 100 offset -2m",
|
|
}, {
|
|
opts: EngineOpts{EnableAtModifier: true, EnableNegativeOffset: true},
|
|
query: "metric offset -2m @ 100",
|
|
},
|
|
}
|
|
|
|
for _, c := range cases {
|
|
eng := NewEngine(c.opts)
|
|
_, err1 := eng.NewInstantQuery(context.Background(), nil, nil, c.query, time.Unix(10, 0))
|
|
_, err2 := eng.NewRangeQuery(context.Background(), nil, nil, c.query, time.Unix(0, 0), time.Unix(10, 0), time.Second)
|
|
if c.fail {
|
|
require.Equal(t, c.expError, err1)
|
|
require.Equal(t, c.expError, err2)
|
|
} else {
|
|
require.NoError(t, err1)
|
|
require.NoError(t, err2)
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestRangeQuery(t *testing.T) {
|
|
cases := []struct {
|
|
Name string
|
|
Load string
|
|
Query string
|
|
Result parser.Value
|
|
Start time.Time
|
|
End time.Time
|
|
Interval time.Duration
|
|
}{
|
|
{
|
|
Name: "sum_over_time with all values",
|
|
Load: `load 30s
|
|
bar 0 1 10 100 1000`,
|
|
Query: "sum_over_time(bar[30s])",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 0, T: 0}, {F: 11, T: 60000}, {F: 1100, T: 120000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(120, 0),
|
|
Interval: 60 * time.Second,
|
|
},
|
|
{
|
|
Name: "sum_over_time with trailing values",
|
|
Load: `load 30s
|
|
bar 0 1 10 100 1000 0 0 0 0`,
|
|
Query: "sum_over_time(bar[30s])",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 0, T: 0}, {F: 11, T: 60000}, {F: 1100, T: 120000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(120, 0),
|
|
Interval: 60 * time.Second,
|
|
},
|
|
{
|
|
Name: "sum_over_time with all values long",
|
|
Load: `load 30s
|
|
bar 0 1 10 100 1000 10000 100000 1000000 10000000`,
|
|
Query: "sum_over_time(bar[30s])",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 0, T: 0}, {F: 11, T: 60000}, {F: 1100, T: 120000}, {F: 110000, T: 180000}, {F: 11000000, T: 240000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(240, 0),
|
|
Interval: 60 * time.Second,
|
|
},
|
|
{
|
|
Name: "sum_over_time with all values random",
|
|
Load: `load 30s
|
|
bar 5 17 42 2 7 905 51`,
|
|
Query: "sum_over_time(bar[30s])",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 5, T: 0}, {F: 59, T: 60000}, {F: 9, T: 120000}, {F: 956, T: 180000}},
|
|
Metric: labels.EmptyLabels(),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(180, 0),
|
|
Interval: 60 * time.Second,
|
|
},
|
|
{
|
|
Name: "metric query",
|
|
Load: `load 30s
|
|
metric 1+1x4`,
|
|
Query: "metric",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 3, T: 60000}, {F: 5, T: 120000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(120, 0),
|
|
Interval: 1 * time.Minute,
|
|
},
|
|
{
|
|
Name: "metric query with trailing values",
|
|
Load: `load 30s
|
|
metric 1+1x8`,
|
|
Query: "metric",
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 3, T: 60000}, {F: 5, T: 120000}},
|
|
Metric: labels.FromStrings("__name__", "metric"),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(120, 0),
|
|
Interval: 1 * time.Minute,
|
|
},
|
|
{
|
|
Name: "short-circuit",
|
|
Load: `load 30s
|
|
foo{job="1"} 1+1x4
|
|
bar{job="2"} 1+1x4`,
|
|
Query: `foo > 2 or bar`,
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 1, T: 0}, {F: 3, T: 60000}, {F: 5, T: 120000}},
|
|
Metric: labels.FromStrings(
|
|
"__name__", "bar",
|
|
"job", "2",
|
|
),
|
|
},
|
|
Series{
|
|
Floats: []FPoint{{F: 3, T: 60000}, {F: 5, T: 120000}},
|
|
Metric: labels.FromStrings(
|
|
"__name__", "foo",
|
|
"job", "1",
|
|
),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(120, 0),
|
|
Interval: 1 * time.Minute,
|
|
},
|
|
{
|
|
Name: "drop-metric-name",
|
|
Load: `load 30s
|
|
requests{job="1", __address__="bar"} 100`,
|
|
Query: `requests * 2`,
|
|
Result: Matrix{
|
|
Series{
|
|
Floats: []FPoint{{F: 200, T: 0}, {F: 200, T: 60000}, {F: 200, T: 120000}},
|
|
Metric: labels.FromStrings(
|
|
"__address__", "bar",
|
|
"job", "1",
|
|
),
|
|
},
|
|
},
|
|
Start: time.Unix(0, 0),
|
|
End: time.Unix(120, 0),
|
|
Interval: 1 * time.Minute,
|
|
},
|
|
}
|
|
for _, c := range cases {
|
|
t.Run(c.Name, func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := LoadedStorage(t, c.Load)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
qry, err := engine.NewRangeQuery(context.Background(), storage, nil, c.Query, c.Start, c.End, c.Interval)
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
testutil.RequireEqual(t, c.Result, res.Value)
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestNativeHistogramRate(t *testing.T) {
|
|
// TODO(beorn7): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
engine := newTestEngine()
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
lbls := labels.FromStrings("__name__", seriesName)
|
|
|
|
app := storage.Appender(context.Background())
|
|
for i, h := range tsdbutil.GenerateTestHistograms(100) {
|
|
_, err := app.AppendHistogram(0, lbls, int64(i)*int64(15*time.Second/time.Millisecond), h, nil)
|
|
require.NoError(t, err)
|
|
}
|
|
require.NoError(t, app.Commit())
|
|
|
|
queryString := fmt.Sprintf("rate(%s[45s])", seriesName)
|
|
t.Run("instant_query", func(t *testing.T) {
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(int64(5*time.Minute/time.Millisecond)))
|
|
require.NoError(t, err)
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
require.Len(t, vector, 1)
|
|
actualHistogram := vector[0].H
|
|
expectedHistogram := &histogram.FloatHistogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 1. / 15.,
|
|
Count: 9. / 15.,
|
|
Sum: 1.2266666666666663,
|
|
PositiveSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
PositiveBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
NegativeSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
NegativeBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
}
|
|
require.Equal(t, expectedHistogram, actualHistogram)
|
|
})
|
|
|
|
t.Run("range_query", func(t *testing.T) {
|
|
step := 30 * time.Second
|
|
start := timestamp.Time(int64(5 * time.Minute / time.Millisecond))
|
|
end := start.Add(step)
|
|
qry, err := engine.NewRangeQuery(context.Background(), storage, nil, queryString, start, end, step)
|
|
require.NoError(t, err)
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
matrix, err := res.Matrix()
|
|
require.NoError(t, err)
|
|
require.Len(t, matrix, 1)
|
|
require.Len(t, matrix[0].Histograms, 2)
|
|
actualHistograms := matrix[0].Histograms
|
|
expectedHistograms := []HPoint{{
|
|
T: 300000,
|
|
H: &histogram.FloatHistogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 1. / 15.,
|
|
Count: 9. / 15.,
|
|
Sum: 1.2266666666666663,
|
|
PositiveSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
PositiveBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
NegativeSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
NegativeBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
},
|
|
}, {
|
|
T: 330000,
|
|
H: &histogram.FloatHistogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 1. / 15.,
|
|
Count: 9. / 15.,
|
|
Sum: 1.2266666666666663,
|
|
PositiveSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
PositiveBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
NegativeSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
NegativeBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
},
|
|
}}
|
|
require.Equal(t, expectedHistograms, actualHistograms)
|
|
})
|
|
}
|
|
|
|
func TestNativeFloatHistogramRate(t *testing.T) {
|
|
// TODO(beorn7): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
engine := newTestEngine()
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
lbls := labels.FromStrings("__name__", seriesName)
|
|
|
|
app := storage.Appender(context.Background())
|
|
for i, fh := range tsdbutil.GenerateTestFloatHistograms(100) {
|
|
_, err := app.AppendHistogram(0, lbls, int64(i)*int64(15*time.Second/time.Millisecond), nil, fh)
|
|
require.NoError(t, err)
|
|
}
|
|
require.NoError(t, app.Commit())
|
|
|
|
queryString := fmt.Sprintf("rate(%s[1m])", seriesName)
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(int64(5*time.Minute/time.Millisecond)))
|
|
require.NoError(t, err)
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
require.Len(t, vector, 1)
|
|
actualHistogram := vector[0].H
|
|
expectedHistogram := &histogram.FloatHistogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 1. / 15.,
|
|
Count: 9. / 15.,
|
|
Sum: 1.226666666666667,
|
|
PositiveSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
PositiveBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
NegativeSpans: []histogram.Span{{Offset: 0, Length: 2}, {Offset: 1, Length: 2}},
|
|
NegativeBuckets: []float64{1. / 15., 1. / 15., 1. / 15., 1. / 15.},
|
|
}
|
|
require.Equal(t, expectedHistogram, actualHistogram)
|
|
}
|
|
|
|
func TestNativeHistogram_HistogramCountAndSum(t *testing.T) {
|
|
// TODO(codesome): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
h := &histogram.Histogram{
|
|
Count: 24,
|
|
ZeroCount: 4,
|
|
ZeroThreshold: 0.001,
|
|
Sum: 100,
|
|
Schema: 0,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, 1, -2, 3},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{2, 1, -2, 3},
|
|
}
|
|
for _, floatHisto := range []bool{true, false} {
|
|
t.Run(fmt.Sprintf("floatHistogram=%t", floatHisto), func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
lbls := labels.FromStrings("__name__", seriesName)
|
|
|
|
ts := int64(10 * time.Minute / time.Millisecond)
|
|
app := storage.Appender(context.Background())
|
|
var err error
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, ts, nil, h.ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, ts, h, nil)
|
|
}
|
|
require.NoError(t, err)
|
|
require.NoError(t, app.Commit())
|
|
|
|
queryString := fmt.Sprintf("histogram_count(%s)", seriesName)
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
require.Len(t, vector, 1)
|
|
require.Nil(t, vector[0].H)
|
|
if floatHisto {
|
|
require.Equal(t, h.ToFloat(nil).Count, vector[0].F)
|
|
} else {
|
|
require.Equal(t, float64(h.Count), vector[0].F)
|
|
}
|
|
|
|
queryString = fmt.Sprintf("histogram_sum(%s)", seriesName)
|
|
qry, err = engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res = qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err = res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
require.Len(t, vector, 1)
|
|
require.Nil(t, vector[0].H)
|
|
if floatHisto {
|
|
require.Equal(t, h.ToFloat(nil).Sum, vector[0].F)
|
|
} else {
|
|
require.Equal(t, h.Sum, vector[0].F)
|
|
}
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestNativeHistogram_HistogramStdDevVar(t *testing.T) {
|
|
// TODO(codesome): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
testCases := []struct {
|
|
name string
|
|
h *histogram.Histogram
|
|
stdVar float64
|
|
}{
|
|
{
|
|
name: "1, 2, 3, 4 low-res",
|
|
h: &histogram.Histogram{
|
|
Count: 4,
|
|
Sum: 10,
|
|
Schema: 2,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 1},
|
|
{Offset: 3, Length: 1},
|
|
{Offset: 2, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{1, 0, 0, 0},
|
|
},
|
|
stdVar: 1.163807968526718, // actual variance: 1.25
|
|
},
|
|
{
|
|
name: "1, 2, 3, 4 hi-res",
|
|
h: &histogram.Histogram{
|
|
Count: 4,
|
|
Sum: 10,
|
|
Schema: 8,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 1},
|
|
{Offset: 255, Length: 1},
|
|
{Offset: 149, Length: 1},
|
|
{Offset: 105, Length: 1},
|
|
},
|
|
PositiveBuckets: []int64{1, 0, 0, 0},
|
|
},
|
|
stdVar: 1.2471347737158793, // actual variance: 1.25
|
|
},
|
|
{
|
|
name: "-50, -8, 0, 3, 8, 9, 100",
|
|
h: &histogram.Histogram{
|
|
Count: 7,
|
|
ZeroCount: 1,
|
|
Sum: 62,
|
|
Schema: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 13, Length: 1},
|
|
{Offset: 10, Length: 1},
|
|
{Offset: 1, Length: 1},
|
|
{Offset: 27, Length: 1},
|
|
},
|
|
PositiveBuckets: []int64{1, 0, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 24, Length: 1},
|
|
{Offset: 21, Length: 1},
|
|
},
|
|
NegativeBuckets: []int64{1, 0},
|
|
},
|
|
stdVar: 1844.4651144196398, // actual variance: 1738.4082
|
|
},
|
|
{
|
|
name: "-100000, -10000, -1000, -888, -888, -100, -50, -9, -8, -3",
|
|
h: &histogram.Histogram{
|
|
Count: 10,
|
|
ZeroCount: 0,
|
|
Sum: -112946,
|
|
Schema: 0,
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 2, Length: 3},
|
|
{Offset: 1, Length: 2},
|
|
{Offset: 2, Length: 1},
|
|
{Offset: 3, Length: 1},
|
|
{Offset: 2, Length: 1},
|
|
},
|
|
NegativeBuckets: []int64{1, 0, 0, 0, 0, 2, -2, 0},
|
|
},
|
|
stdVar: 759352122.1939945, // actual variance: 882690990
|
|
},
|
|
{
|
|
name: "-10 x10",
|
|
h: &histogram.Histogram{
|
|
Count: 10,
|
|
ZeroCount: 0,
|
|
Sum: -100,
|
|
Schema: 0,
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 4, Length: 1},
|
|
},
|
|
NegativeBuckets: []int64{10},
|
|
},
|
|
stdVar: 1.725830020304794, // actual variance: 0
|
|
},
|
|
{
|
|
name: "-50, -8, 0, 3, 8, 9, 100, NaN",
|
|
h: &histogram.Histogram{
|
|
Count: 8,
|
|
ZeroCount: 1,
|
|
Sum: math.NaN(),
|
|
Schema: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 13, Length: 1},
|
|
{Offset: 10, Length: 1},
|
|
{Offset: 1, Length: 1},
|
|
{Offset: 27, Length: 1},
|
|
},
|
|
PositiveBuckets: []int64{1, 0, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 24, Length: 1},
|
|
{Offset: 21, Length: 1},
|
|
},
|
|
NegativeBuckets: []int64{1, 0},
|
|
},
|
|
stdVar: math.NaN(),
|
|
},
|
|
{
|
|
name: "-50, -8, 0, 3, 8, 9, 100, +Inf",
|
|
h: &histogram.Histogram{
|
|
Count: 7,
|
|
ZeroCount: 1,
|
|
Sum: math.Inf(1),
|
|
Schema: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 13, Length: 1},
|
|
{Offset: 10, Length: 1},
|
|
{Offset: 1, Length: 1},
|
|
{Offset: 27, Length: 1},
|
|
},
|
|
PositiveBuckets: []int64{1, 0, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 24, Length: 1},
|
|
{Offset: 21, Length: 1},
|
|
},
|
|
NegativeBuckets: []int64{1, 0},
|
|
},
|
|
stdVar: math.NaN(),
|
|
},
|
|
}
|
|
for _, tc := range testCases {
|
|
for _, floatHisto := range []bool{true, false} {
|
|
t.Run(fmt.Sprintf("%s floatHistogram=%t", tc.name, floatHisto), func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
lbls := labels.FromStrings("__name__", seriesName)
|
|
|
|
ts := int64(10 * time.Minute / time.Millisecond)
|
|
app := storage.Appender(context.Background())
|
|
var err error
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, ts, nil, tc.h.ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, ts, tc.h, nil)
|
|
}
|
|
require.NoError(t, err)
|
|
require.NoError(t, app.Commit())
|
|
|
|
queryString := fmt.Sprintf("histogram_stdvar(%s)", seriesName)
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
require.Len(t, vector, 1)
|
|
require.Nil(t, vector[0].H)
|
|
require.InEpsilon(t, tc.stdVar, vector[0].F, 1e-12)
|
|
|
|
queryString = fmt.Sprintf("histogram_stddev(%s)", seriesName)
|
|
qry, err = engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res = qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err = res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
require.Len(t, vector, 1)
|
|
require.Nil(t, vector[0].H)
|
|
require.InEpsilon(t, math.Sqrt(tc.stdVar), vector[0].F, 1e-12)
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestNativeHistogram_HistogramQuantile(t *testing.T) {
|
|
// TODO(codesome): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
type subCase struct {
|
|
quantile string
|
|
value float64
|
|
}
|
|
|
|
cases := []struct {
|
|
text string
|
|
// Histogram to test.
|
|
h *histogram.Histogram
|
|
// Different quantiles to test for this histogram.
|
|
subCases []subCase
|
|
}{
|
|
{
|
|
text: "all positive buckets with zero bucket",
|
|
h: &histogram.Histogram{
|
|
Count: 12,
|
|
ZeroCount: 2,
|
|
ZeroThreshold: 0.001,
|
|
Sum: 100, // Does not matter.
|
|
Schema: 0,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, 1, -2, 3},
|
|
},
|
|
subCases: []subCase{
|
|
{
|
|
quantile: "1.0001",
|
|
value: math.Inf(1),
|
|
},
|
|
{
|
|
quantile: "1",
|
|
value: 16,
|
|
},
|
|
{
|
|
quantile: "0.99",
|
|
value: 15.759999999999998,
|
|
},
|
|
{
|
|
quantile: "0.9",
|
|
value: 13.600000000000001,
|
|
},
|
|
{
|
|
quantile: "0.6",
|
|
value: 4.799999999999997,
|
|
},
|
|
{
|
|
quantile: "0.5",
|
|
value: 1.6666666666666665,
|
|
},
|
|
{ // Zero bucket.
|
|
quantile: "0.1",
|
|
value: 0.0006000000000000001,
|
|
},
|
|
{
|
|
quantile: "0",
|
|
value: 0,
|
|
},
|
|
{
|
|
quantile: "-1",
|
|
value: math.Inf(-1),
|
|
},
|
|
},
|
|
},
|
|
{
|
|
text: "all negative buckets with zero bucket",
|
|
h: &histogram.Histogram{
|
|
Count: 12,
|
|
ZeroCount: 2,
|
|
ZeroThreshold: 0.001,
|
|
Sum: 100, // Does not matter.
|
|
Schema: 0,
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{2, 1, -2, 3},
|
|
},
|
|
subCases: []subCase{
|
|
{
|
|
quantile: "1.0001",
|
|
value: math.Inf(1),
|
|
},
|
|
{ // Zero bucket.
|
|
quantile: "1",
|
|
value: 0,
|
|
},
|
|
{ // Zero bucket.
|
|
quantile: "0.99",
|
|
value: -6.000000000000048e-05,
|
|
},
|
|
{ // Zero bucket.
|
|
quantile: "0.9",
|
|
value: -0.0005999999999999996,
|
|
},
|
|
{
|
|
quantile: "0.5",
|
|
value: -1.6666666666666667,
|
|
},
|
|
{
|
|
quantile: "0.1",
|
|
value: -13.6,
|
|
},
|
|
{
|
|
quantile: "0",
|
|
value: -16,
|
|
},
|
|
{
|
|
quantile: "-1",
|
|
value: math.Inf(-1),
|
|
},
|
|
},
|
|
},
|
|
{
|
|
text: "both positive and negative buckets with zero bucket",
|
|
h: &histogram.Histogram{
|
|
Count: 24,
|
|
ZeroCount: 4,
|
|
ZeroThreshold: 0.001,
|
|
Sum: 100, // Does not matter.
|
|
Schema: 0,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, 1, -2, 3},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{2, 1, -2, 3},
|
|
},
|
|
subCases: []subCase{
|
|
{
|
|
quantile: "1.0001",
|
|
value: math.Inf(1),
|
|
},
|
|
{
|
|
quantile: "1",
|
|
value: 16,
|
|
},
|
|
{
|
|
quantile: "0.99",
|
|
value: 15.519999999999996,
|
|
},
|
|
{
|
|
quantile: "0.9",
|
|
value: 11.200000000000003,
|
|
},
|
|
{
|
|
quantile: "0.7",
|
|
value: 1.2666666666666657,
|
|
},
|
|
{ // Zero bucket.
|
|
quantile: "0.55",
|
|
value: 0.0006000000000000005,
|
|
},
|
|
{ // Zero bucket.
|
|
quantile: "0.5",
|
|
value: 0,
|
|
},
|
|
{ // Zero bucket.
|
|
quantile: "0.45",
|
|
value: -0.0005999999999999996,
|
|
},
|
|
{
|
|
quantile: "0.3",
|
|
value: -1.266666666666667,
|
|
},
|
|
{
|
|
quantile: "0.1",
|
|
value: -11.2,
|
|
},
|
|
{
|
|
quantile: "0.01",
|
|
value: -15.52,
|
|
},
|
|
{
|
|
quantile: "0",
|
|
value: -16,
|
|
},
|
|
{
|
|
quantile: "-1",
|
|
value: math.Inf(-1),
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
engine := newTestEngine()
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
idx := int64(0)
|
|
for _, floatHisto := range []bool{true, false} {
|
|
for _, c := range cases {
|
|
t.Run(fmt.Sprintf("%s floatHistogram=%t", c.text, floatHisto), func(t *testing.T) {
|
|
seriesName := "sparse_histogram_series"
|
|
lbls := labels.FromStrings("__name__", seriesName)
|
|
ts := idx * int64(10*time.Minute/time.Millisecond)
|
|
app := storage.Appender(context.Background())
|
|
var err error
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, ts, nil, c.h.ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, ts, c.h, nil)
|
|
}
|
|
require.NoError(t, err)
|
|
require.NoError(t, app.Commit())
|
|
|
|
for j, sc := range c.subCases {
|
|
t.Run(fmt.Sprintf("%d %s", j, sc.quantile), func(t *testing.T) {
|
|
queryString := fmt.Sprintf("histogram_quantile(%s, %s)", sc.quantile, seriesName)
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
require.Len(t, vector, 1)
|
|
require.Nil(t, vector[0].H)
|
|
require.True(t, almostEqual(sc.value, vector[0].F, defaultEpsilon))
|
|
})
|
|
}
|
|
idx++
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestNativeHistogram_HistogramFraction(t *testing.T) {
|
|
// TODO(codesome): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
type subCase struct {
|
|
lower, upper string
|
|
value float64
|
|
}
|
|
|
|
invariantCases := []subCase{
|
|
{
|
|
lower: "42",
|
|
upper: "3.1415",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "0",
|
|
upper: "0",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "0.000001",
|
|
upper: "0.000001",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "42",
|
|
upper: "42",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-3.1",
|
|
upper: "-3.1",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "3.1415",
|
|
upper: "NaN",
|
|
value: math.NaN(),
|
|
},
|
|
{
|
|
lower: "NaN",
|
|
upper: "42",
|
|
value: math.NaN(),
|
|
},
|
|
{
|
|
lower: "NaN",
|
|
upper: "NaN",
|
|
value: math.NaN(),
|
|
},
|
|
{
|
|
lower: "-Inf",
|
|
upper: "+Inf",
|
|
value: 1,
|
|
},
|
|
}
|
|
|
|
cases := []struct {
|
|
text string
|
|
// Histogram to test.
|
|
h *histogram.Histogram
|
|
// Different ranges to test for this histogram.
|
|
subCases []subCase
|
|
}{
|
|
{
|
|
text: "empty histogram",
|
|
h: &histogram.Histogram{},
|
|
subCases: []subCase{
|
|
{
|
|
lower: "3.1415",
|
|
upper: "42",
|
|
value: math.NaN(),
|
|
},
|
|
},
|
|
},
|
|
{
|
|
text: "all positive buckets with zero bucket",
|
|
h: &histogram.Histogram{
|
|
Count: 12,
|
|
ZeroCount: 2,
|
|
ZeroThreshold: 0.001,
|
|
Sum: 100, // Does not matter.
|
|
Schema: 0,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, 1, -2, 3}, // Abs: 2, 3, 1, 4
|
|
},
|
|
subCases: append([]subCase{
|
|
{
|
|
lower: "0",
|
|
upper: "+Inf",
|
|
value: 1,
|
|
},
|
|
{
|
|
lower: "-Inf",
|
|
upper: "0",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-0.001",
|
|
upper: "0",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "0",
|
|
upper: "0.001",
|
|
value: 2. / 12.,
|
|
},
|
|
{
|
|
lower: "0",
|
|
upper: "0.0005",
|
|
value: 1. / 12.,
|
|
},
|
|
{
|
|
lower: "0.001",
|
|
upper: "inf",
|
|
value: 10. / 12.,
|
|
},
|
|
{
|
|
lower: "-inf",
|
|
upper: "-0.001",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "2",
|
|
value: 3. / 12.,
|
|
},
|
|
{
|
|
lower: "1.5",
|
|
upper: "2",
|
|
value: 1.5 / 12.,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "8",
|
|
value: 4. / 12.,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "6",
|
|
value: 3.5 / 12.,
|
|
},
|
|
{
|
|
lower: "1.5",
|
|
upper: "6",
|
|
value: 2. / 12.,
|
|
},
|
|
{
|
|
lower: "-2",
|
|
upper: "-1",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-2",
|
|
upper: "-1.5",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-8",
|
|
upper: "-1",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-6",
|
|
upper: "-1",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-6",
|
|
upper: "-1.5",
|
|
value: 0,
|
|
},
|
|
}, invariantCases...),
|
|
},
|
|
{
|
|
text: "all negative buckets with zero bucket",
|
|
h: &histogram.Histogram{
|
|
Count: 12,
|
|
ZeroCount: 2,
|
|
ZeroThreshold: 0.001,
|
|
Sum: 100, // Does not matter.
|
|
Schema: 0,
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{2, 1, -2, 3},
|
|
},
|
|
subCases: append([]subCase{
|
|
{
|
|
lower: "0",
|
|
upper: "+Inf",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-Inf",
|
|
upper: "0",
|
|
value: 1,
|
|
},
|
|
{
|
|
lower: "-0.001",
|
|
upper: "0",
|
|
value: 2. / 12.,
|
|
},
|
|
{
|
|
lower: "0",
|
|
upper: "0.001",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-0.0005",
|
|
upper: "0",
|
|
value: 1. / 12.,
|
|
},
|
|
{
|
|
lower: "0.001",
|
|
upper: "inf",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-inf",
|
|
upper: "-0.001",
|
|
value: 10. / 12.,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "2",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "1.5",
|
|
upper: "2",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "8",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "6",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "1.5",
|
|
upper: "6",
|
|
value: 0,
|
|
},
|
|
{
|
|
lower: "-2",
|
|
upper: "-1",
|
|
value: 3. / 12.,
|
|
},
|
|
{
|
|
lower: "-2",
|
|
upper: "-1.5",
|
|
value: 1.5 / 12.,
|
|
},
|
|
{
|
|
lower: "-8",
|
|
upper: "-1",
|
|
value: 4. / 12.,
|
|
},
|
|
{
|
|
lower: "-6",
|
|
upper: "-1",
|
|
value: 3.5 / 12.,
|
|
},
|
|
{
|
|
lower: "-6",
|
|
upper: "-1.5",
|
|
value: 2. / 12.,
|
|
},
|
|
}, invariantCases...),
|
|
},
|
|
{
|
|
text: "both positive and negative buckets with zero bucket",
|
|
h: &histogram.Histogram{
|
|
Count: 24,
|
|
ZeroCount: 4,
|
|
ZeroThreshold: 0.001,
|
|
Sum: 100, // Does not matter.
|
|
Schema: 0,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, 1, -2, 3},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{2, 1, -2, 3},
|
|
},
|
|
subCases: append([]subCase{
|
|
{
|
|
lower: "0",
|
|
upper: "+Inf",
|
|
value: 0.5,
|
|
},
|
|
{
|
|
lower: "-Inf",
|
|
upper: "0",
|
|
value: 0.5,
|
|
},
|
|
{
|
|
lower: "-0.001",
|
|
upper: "0",
|
|
value: 2. / 24,
|
|
},
|
|
{
|
|
lower: "0",
|
|
upper: "0.001",
|
|
value: 2. / 24.,
|
|
},
|
|
{
|
|
lower: "-0.0005",
|
|
upper: "0.0005",
|
|
value: 2. / 24.,
|
|
},
|
|
{
|
|
lower: "0.001",
|
|
upper: "inf",
|
|
value: 10. / 24.,
|
|
},
|
|
{
|
|
lower: "-inf",
|
|
upper: "-0.001",
|
|
value: 10. / 24.,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "2",
|
|
value: 3. / 24.,
|
|
},
|
|
{
|
|
lower: "1.5",
|
|
upper: "2",
|
|
value: 1.5 / 24.,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "8",
|
|
value: 4. / 24.,
|
|
},
|
|
{
|
|
lower: "1",
|
|
upper: "6",
|
|
value: 3.5 / 24.,
|
|
},
|
|
{
|
|
lower: "1.5",
|
|
upper: "6",
|
|
value: 2. / 24.,
|
|
},
|
|
{
|
|
lower: "-2",
|
|
upper: "-1",
|
|
value: 3. / 24.,
|
|
},
|
|
{
|
|
lower: "-2",
|
|
upper: "-1.5",
|
|
value: 1.5 / 24.,
|
|
},
|
|
{
|
|
lower: "-8",
|
|
upper: "-1",
|
|
value: 4. / 24.,
|
|
},
|
|
{
|
|
lower: "-6",
|
|
upper: "-1",
|
|
value: 3.5 / 24.,
|
|
},
|
|
{
|
|
lower: "-6",
|
|
upper: "-1.5",
|
|
value: 2. / 24.,
|
|
},
|
|
}, invariantCases...),
|
|
},
|
|
}
|
|
idx := int64(0)
|
|
for _, floatHisto := range []bool{true, false} {
|
|
for _, c := range cases {
|
|
t.Run(fmt.Sprintf("%s floatHistogram=%t", c.text, floatHisto), func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
lbls := labels.FromStrings("__name__", seriesName)
|
|
|
|
ts := idx * int64(10*time.Minute/time.Millisecond)
|
|
app := storage.Appender(context.Background())
|
|
var err error
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, ts, nil, c.h.ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, ts, c.h, nil)
|
|
}
|
|
require.NoError(t, err)
|
|
require.NoError(t, app.Commit())
|
|
|
|
for j, sc := range c.subCases {
|
|
t.Run(fmt.Sprintf("%d %s %s", j, sc.lower, sc.upper), func(t *testing.T) {
|
|
queryString := fmt.Sprintf("histogram_fraction(%s, %s, %s)", sc.lower, sc.upper, seriesName)
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
require.Len(t, vector, 1)
|
|
require.Nil(t, vector[0].H)
|
|
if math.IsNaN(sc.value) {
|
|
require.True(t, math.IsNaN(vector[0].F))
|
|
return
|
|
}
|
|
require.Equal(t, sc.value, vector[0].F)
|
|
})
|
|
}
|
|
idx++
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestNativeHistogram_Sum_Count_Add_AvgOperator(t *testing.T) {
|
|
// TODO(codesome): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
cases := []struct {
|
|
histograms []histogram.Histogram
|
|
expected histogram.FloatHistogram
|
|
expectedAvg histogram.FloatHistogram
|
|
}{
|
|
{
|
|
histograms: []histogram.Histogram{
|
|
{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 0,
|
|
Count: 25,
|
|
Sum: 1234.5,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 4,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{1, 1, -1, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 2, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{2, 2, -3, 8},
|
|
},
|
|
{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 0,
|
|
Count: 41,
|
|
Sum: 2345.6,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 5,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 4},
|
|
{Offset: 0, Length: 0},
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 4},
|
|
{Offset: 2, Length: 0},
|
|
{Offset: 2, Length: 3},
|
|
},
|
|
NegativeBuckets: []int64{1, 3, -2, 5, -2, 0, -3},
|
|
},
|
|
{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 0,
|
|
Count: 41,
|
|
Sum: 1111.1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 5,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 4},
|
|
{Offset: 0, Length: 0},
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 4},
|
|
{Offset: 2, Length: 0},
|
|
{Offset: 2, Length: 3},
|
|
},
|
|
NegativeBuckets: []int64{1, 3, -2, 5, -2, 0, -3},
|
|
},
|
|
{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 1, // Everything is 0 just to make the count 4 so avg has nicer numbers.
|
|
},
|
|
},
|
|
expected: histogram.FloatHistogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 0,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 14,
|
|
Count: 107,
|
|
Sum: 4691.2,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 7},
|
|
},
|
|
PositiveBuckets: []float64{3, 8, 2, 5, 3, 2, 2},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 6},
|
|
{Offset: 3, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{2, 6, 8, 4, 15, 9, 10, 10, 4},
|
|
},
|
|
expectedAvg: histogram.FloatHistogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Schema: 0,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 3.5,
|
|
Count: 26.75,
|
|
Sum: 1172.8,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 7},
|
|
},
|
|
PositiveBuckets: []float64{0.75, 2, 0.5, 1.25, 0.75, 0.5, 0.5},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 6},
|
|
{Offset: 3, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{0.5, 1.5, 2, 1, 3.75, 2.25, 2.5, 2.5, 1},
|
|
},
|
|
},
|
|
}
|
|
|
|
idx0 := int64(0)
|
|
for _, c := range cases {
|
|
for _, floatHisto := range []bool{true, false} {
|
|
t.Run(fmt.Sprintf("floatHistogram=%t %d", floatHisto, idx0), func(t *testing.T) {
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
seriesNameOverTime := "sparse_histogram_series_over_time"
|
|
|
|
engine := newTestEngine()
|
|
|
|
ts := idx0 * int64(10*time.Minute/time.Millisecond)
|
|
app := storage.Appender(context.Background())
|
|
_, err := app.Append(0, labels.FromStrings("__name__", "float_series", "idx", "0"), ts, 42)
|
|
require.NoError(t, err)
|
|
for idx1, h := range c.histograms {
|
|
lbls := labels.FromStrings("__name__", seriesName, "idx", fmt.Sprintf("%d", idx1))
|
|
// Since we mutate h later, we need to create a copy here.
|
|
var err error
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, ts, nil, h.Copy().ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, ts, h.Copy(), nil)
|
|
}
|
|
require.NoError(t, err)
|
|
|
|
lbls = labels.FromStrings("__name__", seriesNameOverTime)
|
|
newTs := ts + int64(idx1)*int64(time.Minute/time.Millisecond)
|
|
// Since we mutate h later, we need to create a copy here.
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, newTs, nil, h.Copy().ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, newTs, h.Copy(), nil)
|
|
}
|
|
require.NoError(t, err)
|
|
}
|
|
require.NoError(t, app.Commit())
|
|
|
|
queryAndCheck := func(queryString string, ts int64, exp Vector) {
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
require.Empty(t, res.Warnings)
|
|
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
testutil.RequireEqual(t, exp, vector)
|
|
}
|
|
queryAndCheckAnnotations := func(queryString string, ts int64, expWarnings annotations.Annotations) {
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
require.Equal(t, expWarnings, res.Warnings)
|
|
}
|
|
|
|
// sum().
|
|
queryString := fmt.Sprintf("sum(%s)", seriesName)
|
|
queryAndCheck(queryString, ts, []Sample{{T: ts, H: &c.expected, Metric: labels.EmptyLabels()}})
|
|
|
|
queryString = `sum({idx="0"})`
|
|
var annos annotations.Annotations
|
|
annos.Add(annotations.NewMixedFloatsHistogramsAggWarning(posrange.PositionRange{Start: 4, End: 13}))
|
|
queryAndCheckAnnotations(queryString, ts, annos)
|
|
|
|
// + operator.
|
|
queryString = fmt.Sprintf(`%s{idx="0"}`, seriesName)
|
|
for idx := 1; idx < len(c.histograms); idx++ {
|
|
queryString += fmt.Sprintf(` + ignoring(idx) %s{idx="%d"}`, seriesName, idx)
|
|
}
|
|
queryAndCheck(queryString, ts, []Sample{{T: ts, H: &c.expected, Metric: labels.EmptyLabels()}})
|
|
|
|
// count().
|
|
queryString = fmt.Sprintf("count(%s)", seriesName)
|
|
queryAndCheck(queryString, ts, []Sample{{T: ts, F: 4, Metric: labels.EmptyLabels()}})
|
|
|
|
// avg().
|
|
queryString = fmt.Sprintf("avg(%s)", seriesName)
|
|
queryAndCheck(queryString, ts, []Sample{{T: ts, H: &c.expectedAvg, Metric: labels.EmptyLabels()}})
|
|
|
|
offset := int64(len(c.histograms) - 1)
|
|
newTs := ts + offset*int64(time.Minute/time.Millisecond)
|
|
|
|
// sum_over_time().
|
|
queryString = fmt.Sprintf("sum_over_time(%s[%dm:1m])", seriesNameOverTime, offset)
|
|
queryAndCheck(queryString, newTs, []Sample{{T: newTs, H: &c.expected, Metric: labels.EmptyLabels()}})
|
|
|
|
// avg_over_time().
|
|
queryString = fmt.Sprintf("avg_over_time(%s[%dm:1m])", seriesNameOverTime, offset)
|
|
queryAndCheck(queryString, newTs, []Sample{{T: newTs, H: &c.expectedAvg, Metric: labels.EmptyLabels()}})
|
|
})
|
|
idx0++
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestNativeHistogram_SubOperator(t *testing.T) {
|
|
// TODO(codesome): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
cases := []struct {
|
|
histograms []histogram.Histogram
|
|
expected histogram.FloatHistogram
|
|
}{
|
|
{
|
|
histograms: []histogram.Histogram{
|
|
{
|
|
Schema: 0,
|
|
Count: 41,
|
|
Sum: 2345.6,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 5,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 4},
|
|
{Offset: 0, Length: 0},
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 4},
|
|
{Offset: 2, Length: 0},
|
|
{Offset: 2, Length: 3},
|
|
},
|
|
NegativeBuckets: []int64{1, 3, -2, 5, -2, 0, -3},
|
|
},
|
|
{
|
|
Schema: 0,
|
|
Count: 11,
|
|
Sum: 1234.5,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, -1},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 2, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{3, -1},
|
|
},
|
|
},
|
|
expected: histogram.FloatHistogram{
|
|
Schema: 0,
|
|
Count: 30,
|
|
Sum: 1111.1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 2,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 4},
|
|
},
|
|
PositiveBuckets: []float64{1, 1, 2, 1, 1, 1},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 2},
|
|
{Offset: 1, Length: 1},
|
|
{Offset: 4, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{1, 1, 7, 5, 5, 2},
|
|
},
|
|
},
|
|
{
|
|
histograms: []histogram.Histogram{
|
|
{
|
|
Schema: 0,
|
|
Count: 41,
|
|
Sum: 2345.6,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 5,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 4},
|
|
{Offset: 0, Length: 0},
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 4},
|
|
{Offset: 2, Length: 0},
|
|
{Offset: 2, Length: 3},
|
|
},
|
|
NegativeBuckets: []int64{1, 3, -2, 5, -2, 0, -3},
|
|
},
|
|
{
|
|
Schema: 1,
|
|
Count: 11,
|
|
Sum: 1234.5,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, -1},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 2, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{3, -1},
|
|
},
|
|
},
|
|
expected: histogram.FloatHistogram{
|
|
Schema: 0,
|
|
Count: 30,
|
|
Sum: 1111.1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 2,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 1},
|
|
{Offset: 1, Length: 5},
|
|
},
|
|
PositiveBuckets: []float64{1, 1, 2, 1, 1, 1},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 4},
|
|
{Offset: 4, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{-2, 2, 2, 7, 5, 5, 2},
|
|
},
|
|
},
|
|
{
|
|
histograms: []histogram.Histogram{
|
|
{
|
|
Schema: 1,
|
|
Count: 11,
|
|
Sum: 1234.5,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{2, -1},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 2, Length: 2},
|
|
},
|
|
NegativeBuckets: []int64{3, -1},
|
|
},
|
|
{
|
|
Schema: 0,
|
|
Count: 41,
|
|
Sum: 2345.6,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 5,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 4},
|
|
{Offset: 0, Length: 0},
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []int64{1, 2, -2, 1, -1, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 4},
|
|
{Offset: 2, Length: 0},
|
|
{Offset: 2, Length: 3},
|
|
},
|
|
NegativeBuckets: []int64{1, 3, -2, 5, -2, 0, -3},
|
|
},
|
|
},
|
|
expected: histogram.FloatHistogram{
|
|
Schema: 0,
|
|
Count: -30,
|
|
Sum: -1111.1,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: -2,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 1},
|
|
{Offset: 1, Length: 5},
|
|
},
|
|
PositiveBuckets: []float64{-1, -1, -2, -1, -1, -1},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 1, Length: 4},
|
|
{Offset: 4, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{2, -2, -2, -7, -5, -5, -2},
|
|
},
|
|
},
|
|
}
|
|
|
|
idx0 := int64(0)
|
|
for _, c := range cases {
|
|
for _, floatHisto := range []bool{true, false} {
|
|
t.Run(fmt.Sprintf("floatHistogram=%t %d", floatHisto, idx0), func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
|
|
ts := idx0 * int64(10*time.Minute/time.Millisecond)
|
|
app := storage.Appender(context.Background())
|
|
for idx1, h := range c.histograms {
|
|
lbls := labels.FromStrings("__name__", seriesName, "idx", fmt.Sprintf("%d", idx1))
|
|
// Since we mutate h later, we need to create a copy here.
|
|
var err error
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, ts, nil, h.Copy().ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, ts, h.Copy(), nil)
|
|
}
|
|
require.NoError(t, err)
|
|
}
|
|
require.NoError(t, app.Commit())
|
|
|
|
queryAndCheck := func(queryString string, exp Vector) {
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
if len(vector) == len(exp) {
|
|
for i, e := range exp {
|
|
got := vector[i].H
|
|
if got != e.H {
|
|
// Error messages are better if we compare structs, not pointers.
|
|
require.Equal(t, *e.H, *got)
|
|
}
|
|
}
|
|
}
|
|
|
|
testutil.RequireEqual(t, exp, vector)
|
|
}
|
|
|
|
// - operator.
|
|
queryString := fmt.Sprintf(`%s{idx="0"}`, seriesName)
|
|
for idx := 1; idx < len(c.histograms); idx++ {
|
|
queryString += fmt.Sprintf(` - ignoring(idx) %s{idx="%d"}`, seriesName, idx)
|
|
}
|
|
queryAndCheck(queryString, []Sample{{T: ts, H: &c.expected, Metric: labels.EmptyLabels()}})
|
|
})
|
|
}
|
|
idx0++
|
|
}
|
|
}
|
|
|
|
func TestNativeHistogram_MulDivOperator(t *testing.T) {
|
|
// TODO(codesome): Integrate histograms into the PromQL testing framework
|
|
// and write more tests there.
|
|
originalHistogram := histogram.Histogram{
|
|
Schema: 0,
|
|
Count: 21,
|
|
Sum: 33,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []int64{3, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
NegativeBuckets: []int64{3, 0, 0},
|
|
}
|
|
|
|
cases := []struct {
|
|
scalar float64
|
|
histogram histogram.Histogram
|
|
expectedMul histogram.FloatHistogram
|
|
expectedDiv histogram.FloatHistogram
|
|
}{
|
|
{
|
|
scalar: 3,
|
|
histogram: originalHistogram,
|
|
expectedMul: histogram.FloatHistogram{
|
|
Schema: 0,
|
|
Count: 63,
|
|
Sum: 99,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 9,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []float64{9, 9, 9},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{9, 9, 9},
|
|
},
|
|
expectedDiv: histogram.FloatHistogram{
|
|
Schema: 0,
|
|
Count: 7,
|
|
Sum: 11,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 1,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []float64{1, 1, 1},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{1, 1, 1},
|
|
},
|
|
},
|
|
{
|
|
scalar: 0,
|
|
histogram: originalHistogram,
|
|
expectedMul: histogram.FloatHistogram{
|
|
Schema: 0,
|
|
Count: 0,
|
|
Sum: 0,
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: 0,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []float64{0, 0, 0},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{0, 0, 0},
|
|
},
|
|
expectedDiv: histogram.FloatHistogram{
|
|
Schema: 0,
|
|
Count: math.Inf(1),
|
|
Sum: math.Inf(1),
|
|
ZeroThreshold: 0.001,
|
|
ZeroCount: math.Inf(1),
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
PositiveBuckets: []float64{math.Inf(1), math.Inf(1), math.Inf(1)},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: 0, Length: 3},
|
|
},
|
|
NegativeBuckets: []float64{math.Inf(1), math.Inf(1), math.Inf(1)},
|
|
},
|
|
},
|
|
}
|
|
|
|
idx0 := int64(0)
|
|
for _, c := range cases {
|
|
for _, floatHisto := range []bool{true, false} {
|
|
t.Run(fmt.Sprintf("floatHistogram=%t %d", floatHisto, idx0), func(t *testing.T) {
|
|
storage := teststorage.New(t)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
seriesName := "sparse_histogram_series"
|
|
floatSeriesName := "float_series"
|
|
|
|
engine := newTestEngine()
|
|
|
|
ts := idx0 * int64(10*time.Minute/time.Millisecond)
|
|
app := storage.Appender(context.Background())
|
|
h := c.histogram
|
|
lbls := labels.FromStrings("__name__", seriesName)
|
|
// Since we mutate h later, we need to create a copy here.
|
|
var err error
|
|
if floatHisto {
|
|
_, err = app.AppendHistogram(0, lbls, ts, nil, h.Copy().ToFloat(nil))
|
|
} else {
|
|
_, err = app.AppendHistogram(0, lbls, ts, h.Copy(), nil)
|
|
}
|
|
require.NoError(t, err)
|
|
_, err = app.Append(0, labels.FromStrings("__name__", floatSeriesName), ts, c.scalar)
|
|
require.NoError(t, err)
|
|
require.NoError(t, app.Commit())
|
|
|
|
queryAndCheck := func(queryString string, exp Vector) {
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, nil, queryString, timestamp.Time(ts))
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
|
|
vector, err := res.Vector()
|
|
require.NoError(t, err)
|
|
|
|
testutil.RequireEqual(t, exp, vector)
|
|
}
|
|
|
|
// histogram * scalar.
|
|
queryString := fmt.Sprintf(`%s * %f`, seriesName, c.scalar)
|
|
queryAndCheck(queryString, []Sample{{T: ts, H: &c.expectedMul, Metric: labels.EmptyLabels()}})
|
|
|
|
// scalar * histogram.
|
|
queryString = fmt.Sprintf(`%f * %s`, c.scalar, seriesName)
|
|
queryAndCheck(queryString, []Sample{{T: ts, H: &c.expectedMul, Metric: labels.EmptyLabels()}})
|
|
|
|
// histogram * float.
|
|
queryString = fmt.Sprintf(`%s * %s`, seriesName, floatSeriesName)
|
|
queryAndCheck(queryString, []Sample{{T: ts, H: &c.expectedMul, Metric: labels.EmptyLabels()}})
|
|
|
|
// float * histogram.
|
|
queryString = fmt.Sprintf(`%s * %s`, floatSeriesName, seriesName)
|
|
queryAndCheck(queryString, []Sample{{T: ts, H: &c.expectedMul, Metric: labels.EmptyLabels()}})
|
|
|
|
// histogram / scalar.
|
|
queryString = fmt.Sprintf(`%s / %f`, seriesName, c.scalar)
|
|
queryAndCheck(queryString, []Sample{{T: ts, H: &c.expectedDiv, Metric: labels.EmptyLabels()}})
|
|
|
|
// histogram / float.
|
|
queryString = fmt.Sprintf(`%s / %s`, seriesName, floatSeriesName)
|
|
queryAndCheck(queryString, []Sample{{T: ts, H: &c.expectedDiv, Metric: labels.EmptyLabels()}})
|
|
})
|
|
idx0++
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestQueryLookbackDelta(t *testing.T) {
|
|
var (
|
|
load = `load 5m
|
|
metric 0 1 2
|
|
`
|
|
query = "metric"
|
|
lastDatapointTs = time.Unix(600, 0)
|
|
)
|
|
|
|
cases := []struct {
|
|
name string
|
|
ts time.Time
|
|
engineLookback, queryLookback time.Duration
|
|
expectSamples bool
|
|
}{
|
|
{
|
|
name: "default lookback delta",
|
|
ts: lastDatapointTs.Add(defaultLookbackDelta),
|
|
expectSamples: true,
|
|
},
|
|
{
|
|
name: "outside default lookback delta",
|
|
ts: lastDatapointTs.Add(defaultLookbackDelta + time.Millisecond),
|
|
expectSamples: false,
|
|
},
|
|
{
|
|
name: "custom engine lookback delta",
|
|
ts: lastDatapointTs.Add(10 * time.Minute),
|
|
engineLookback: 10 * time.Minute,
|
|
expectSamples: true,
|
|
},
|
|
{
|
|
name: "outside custom engine lookback delta",
|
|
ts: lastDatapointTs.Add(10*time.Minute + time.Millisecond),
|
|
engineLookback: 10 * time.Minute,
|
|
expectSamples: false,
|
|
},
|
|
{
|
|
name: "custom query lookback delta",
|
|
ts: lastDatapointTs.Add(20 * time.Minute),
|
|
engineLookback: 10 * time.Minute,
|
|
queryLookback: 20 * time.Minute,
|
|
expectSamples: true,
|
|
},
|
|
{
|
|
name: "outside custom query lookback delta",
|
|
ts: lastDatapointTs.Add(20*time.Minute + time.Millisecond),
|
|
engineLookback: 10 * time.Minute,
|
|
queryLookback: 20 * time.Minute,
|
|
expectSamples: false,
|
|
},
|
|
{
|
|
name: "negative custom query lookback delta",
|
|
ts: lastDatapointTs.Add(20 * time.Minute),
|
|
engineLookback: -10 * time.Minute,
|
|
queryLookback: 20 * time.Minute,
|
|
expectSamples: true,
|
|
},
|
|
}
|
|
|
|
for _, c := range cases {
|
|
c := c
|
|
t.Run(c.name, func(t *testing.T) {
|
|
engine := newTestEngine()
|
|
storage := LoadedStorage(t, load)
|
|
t.Cleanup(func() { storage.Close() })
|
|
|
|
if c.engineLookback != 0 {
|
|
engine.lookbackDelta = c.engineLookback
|
|
}
|
|
opts := NewPrometheusQueryOpts(false, c.queryLookback)
|
|
qry, err := engine.NewInstantQuery(context.Background(), storage, opts, query, c.ts)
|
|
require.NoError(t, err)
|
|
|
|
res := qry.Exec(context.Background())
|
|
require.NoError(t, res.Err)
|
|
vec, ok := res.Value.(Vector)
|
|
require.True(t, ok)
|
|
if c.expectSamples {
|
|
require.NotEmpty(t, vec)
|
|
} else {
|
|
require.Empty(t, vec)
|
|
}
|
|
})
|
|
}
|
|
}
|