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2144 lines
63 KiB
2144 lines
63 KiB
// Copyright 2013 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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"bytes"
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"container/heap"
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"context"
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"fmt"
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"math"
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"regexp"
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"runtime"
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"sort"
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"strconv"
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"sync"
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"time"
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"github.com/go-kit/kit/log"
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"github.com/go-kit/kit/log/level"
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"github.com/opentracing/opentracing-go"
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"github.com/pkg/errors"
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"github.com/prometheus/client_golang/prometheus"
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"github.com/prometheus/common/model"
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"github.com/uber/jaeger-client-go"
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"github.com/prometheus/prometheus/pkg/labels"
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"github.com/prometheus/prometheus/pkg/timestamp"
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"github.com/prometheus/prometheus/pkg/value"
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"github.com/prometheus/prometheus/promql/parser"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/util/stats"
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)
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const (
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namespace = "prometheus"
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subsystem = "engine"
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queryTag = "query"
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env = "query execution"
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defaultLookbackDelta = 5 * time.Minute
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// The largest SampleValue that can be converted to an int64 without overflow.
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maxInt64 = 9223372036854774784
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// The smallest SampleValue that can be converted to an int64 without underflow.
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minInt64 = -9223372036854775808
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)
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type engineMetrics struct {
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currentQueries prometheus.Gauge
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maxConcurrentQueries prometheus.Gauge
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queryLogEnabled prometheus.Gauge
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queryLogFailures prometheus.Counter
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queryQueueTime prometheus.Observer
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queryPrepareTime prometheus.Observer
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queryInnerEval prometheus.Observer
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queryResultSort prometheus.Observer
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}
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// convertibleToInt64 returns true if v does not over-/underflow an int64.
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func convertibleToInt64(v float64) bool {
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return v <= maxInt64 && v >= minInt64
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}
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type (
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// ErrQueryTimeout is returned if a query timed out during processing.
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ErrQueryTimeout string
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// ErrQueryCanceled is returned if a query was canceled during processing.
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ErrQueryCanceled string
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// ErrTooManySamples is returned if a query would load more than the maximum allowed samples into memory.
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ErrTooManySamples string
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// ErrStorage is returned if an error was encountered in the storage layer
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// during query handling.
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ErrStorage struct{ Err error }
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)
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func (e ErrQueryTimeout) Error() string {
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return fmt.Sprintf("query timed out in %s", string(e))
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}
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func (e ErrQueryCanceled) Error() string {
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return fmt.Sprintf("query was canceled in %s", string(e))
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}
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func (e ErrTooManySamples) Error() string {
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return fmt.Sprintf("query processing would load too many samples into memory in %s", string(e))
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}
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func (e ErrStorage) Error() string {
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return e.Err.Error()
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}
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// QueryLogger is an interface that can be used to log all the queries logged
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// by the engine.
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type QueryLogger interface {
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Log(...interface{}) error
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Close() error
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}
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// A Query is derived from an a raw query string and can be run against an engine
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// it is associated with.
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type Query interface {
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// Exec processes the query. Can only be called once.
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Exec(ctx context.Context) *Result
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// Close recovers memory used by the query result.
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Close()
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// Statement returns the parsed statement of the query.
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Statement() parser.Statement
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// Stats returns statistics about the lifetime of the query.
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Stats() *stats.QueryTimers
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// Cancel signals that a running query execution should be aborted.
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Cancel()
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}
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// query implements the Query interface.
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type query struct {
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// Underlying data provider.
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queryable storage.Queryable
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// The original query string.
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q string
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// Statement of the parsed query.
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stmt parser.Statement
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// Timer stats for the query execution.
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stats *stats.QueryTimers
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// Result matrix for reuse.
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matrix Matrix
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// Cancellation function for the query.
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cancel func()
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// The engine against which the query is executed.
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ng *Engine
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}
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type QueryOrigin struct{}
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// Statement implements the Query interface.
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func (q *query) Statement() parser.Statement {
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return q.stmt
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}
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// Stats implements the Query interface.
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func (q *query) Stats() *stats.QueryTimers {
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return q.stats
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}
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// Cancel implements the Query interface.
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func (q *query) Cancel() {
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if q.cancel != nil {
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q.cancel()
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}
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}
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// Close implements the Query interface.
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func (q *query) Close() {
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for _, s := range q.matrix {
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putPointSlice(s.Points)
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}
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}
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// Exec implements the Query interface.
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func (q *query) Exec(ctx context.Context) *Result {
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if span := opentracing.SpanFromContext(ctx); span != nil {
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span.SetTag(queryTag, q.stmt.String())
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}
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// Exec query.
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res, warnings, err := q.ng.exec(ctx, q)
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return &Result{Err: err, Value: res, Warnings: warnings}
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}
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// contextDone returns an error if the context was canceled or timed out.
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func contextDone(ctx context.Context, env string) error {
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if err := ctx.Err(); err != nil {
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return contextErr(err, env)
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}
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return nil
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}
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func contextErr(err error, env string) error {
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switch err {
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case context.Canceled:
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return ErrQueryCanceled(env)
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case context.DeadlineExceeded:
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return ErrQueryTimeout(env)
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default:
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return err
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}
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}
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// EngineOpts contains configuration options used when creating a new Engine.
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type EngineOpts struct {
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Logger log.Logger
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Reg prometheus.Registerer
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MaxSamples int
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Timeout time.Duration
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ActiveQueryTracker *ActiveQueryTracker
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// LookbackDelta determines the time since the last sample after which a time
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// series is considered stale.
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LookbackDelta time.Duration
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// NoStepSubqueryIntervalFn is the default evaluation interval of
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// a subquery in milliseconds if no step in range vector was specified `[30m:<step>]`.
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NoStepSubqueryIntervalFn func(rangeMillis int64) int64
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}
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// Engine handles the lifetime of queries from beginning to end.
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// It is connected to a querier.
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type Engine struct {
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logger log.Logger
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metrics *engineMetrics
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timeout time.Duration
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maxSamplesPerQuery int
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activeQueryTracker *ActiveQueryTracker
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queryLogger QueryLogger
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queryLoggerLock sync.RWMutex
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lookbackDelta time.Duration
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noStepSubqueryIntervalFn func(rangeMillis int64) int64
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}
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// NewEngine returns a new engine.
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func NewEngine(opts EngineOpts) *Engine {
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if opts.Logger == nil {
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opts.Logger = log.NewNopLogger()
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}
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queryResultSummary := prometheus.NewSummaryVec(prometheus.SummaryOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "query_duration_seconds",
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Help: "Query timings",
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Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},
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},
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[]string{"slice"},
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)
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metrics := &engineMetrics{
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currentQueries: prometheus.NewGauge(prometheus.GaugeOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "queries",
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Help: "The current number of queries being executed or waiting.",
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}),
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queryLogEnabled: prometheus.NewGauge(prometheus.GaugeOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "query_log_enabled",
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Help: "State of the query log.",
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}),
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queryLogFailures: prometheus.NewCounter(prometheus.CounterOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "query_log_failures_total",
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Help: "The number of query log failures.",
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}),
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maxConcurrentQueries: prometheus.NewGauge(prometheus.GaugeOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "queries_concurrent_max",
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Help: "The max number of concurrent queries.",
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}),
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queryQueueTime: queryResultSummary.WithLabelValues("queue_time"),
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queryPrepareTime: queryResultSummary.WithLabelValues("prepare_time"),
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queryInnerEval: queryResultSummary.WithLabelValues("inner_eval"),
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queryResultSort: queryResultSummary.WithLabelValues("result_sort"),
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}
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if t := opts.ActiveQueryTracker; t != nil {
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metrics.maxConcurrentQueries.Set(float64(t.GetMaxConcurrent()))
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} else {
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metrics.maxConcurrentQueries.Set(-1)
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}
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if opts.LookbackDelta == 0 {
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opts.LookbackDelta = defaultLookbackDelta
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if l := opts.Logger; l != nil {
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level.Debug(l).Log("msg", "Lookback delta is zero, setting to default value", "value", defaultLookbackDelta)
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}
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}
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if opts.Reg != nil {
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opts.Reg.MustRegister(
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metrics.currentQueries,
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metrics.maxConcurrentQueries,
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metrics.queryLogEnabled,
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metrics.queryLogFailures,
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queryResultSummary,
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)
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}
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return &Engine{
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timeout: opts.Timeout,
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logger: opts.Logger,
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metrics: metrics,
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maxSamplesPerQuery: opts.MaxSamples,
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activeQueryTracker: opts.ActiveQueryTracker,
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lookbackDelta: opts.LookbackDelta,
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noStepSubqueryIntervalFn: opts.NoStepSubqueryIntervalFn,
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}
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}
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// SetQueryLogger sets the query logger.
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func (ng *Engine) SetQueryLogger(l QueryLogger) {
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ng.queryLoggerLock.Lock()
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defer ng.queryLoggerLock.Unlock()
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if ng.queryLogger != nil {
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// An error closing the old file descriptor should
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// not make reload fail; only log a warning.
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err := ng.queryLogger.Close()
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if err != nil {
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level.Warn(ng.logger).Log("msg", "Error while closing the previous query log file", "err", err)
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}
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}
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ng.queryLogger = l
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if l != nil {
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ng.metrics.queryLogEnabled.Set(1)
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} else {
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ng.metrics.queryLogEnabled.Set(0)
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}
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}
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// NewInstantQuery returns an evaluation query for the given expression at the given time.
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func (ng *Engine) NewInstantQuery(q storage.Queryable, qs string, ts time.Time) (Query, error) {
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expr, err := parser.ParseExpr(qs)
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if err != nil {
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return nil, err
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}
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qry := ng.newQuery(q, expr, ts, ts, 0)
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qry.q = qs
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return qry, nil
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}
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// NewRangeQuery returns an evaluation query for the given time range and with
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// the resolution set by the interval.
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func (ng *Engine) NewRangeQuery(q storage.Queryable, qs string, start, end time.Time, interval time.Duration) (Query, error) {
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expr, err := parser.ParseExpr(qs)
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if err != nil {
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return nil, err
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}
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if expr.Type() != parser.ValueTypeVector && expr.Type() != parser.ValueTypeScalar {
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return nil, errors.Errorf("invalid expression type %q for range query, must be Scalar or instant Vector", parser.DocumentedType(expr.Type()))
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}
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qry := ng.newQuery(q, expr, start, end, interval)
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qry.q = qs
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return qry, nil
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}
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func (ng *Engine) newQuery(q storage.Queryable, expr parser.Expr, start, end time.Time, interval time.Duration) *query {
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es := &parser.EvalStmt{
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Expr: expr,
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Start: start,
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End: end,
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Interval: interval,
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}
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qry := &query{
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stmt: es,
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ng: ng,
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stats: stats.NewQueryTimers(),
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queryable: q,
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}
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return qry
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}
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func (ng *Engine) newTestQuery(f func(context.Context) error) Query {
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qry := &query{
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q: "test statement",
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stmt: parser.TestStmt(f),
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ng: ng,
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stats: stats.NewQueryTimers(),
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}
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return qry
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}
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// exec executes the query.
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//
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// At this point per query only one EvalStmt is evaluated. Alert and record
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// statements are not handled by the Engine.
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func (ng *Engine) exec(ctx context.Context, q *query) (v parser.Value, ws storage.Warnings, err error) {
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ng.metrics.currentQueries.Inc()
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defer ng.metrics.currentQueries.Dec()
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ctx, cancel := context.WithTimeout(ctx, ng.timeout)
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q.cancel = cancel
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defer func() {
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ng.queryLoggerLock.RLock()
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if l := ng.queryLogger; l != nil {
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params := make(map[string]interface{}, 4)
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params["query"] = q.q
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if eq, ok := q.Statement().(*parser.EvalStmt); ok {
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params["start"] = formatDate(eq.Start)
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params["end"] = formatDate(eq.End)
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// The step provided by the user is in seconds.
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params["step"] = int64(eq.Interval / (time.Second / time.Nanosecond))
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}
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f := []interface{}{"params", params}
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if err != nil {
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f = append(f, "error", err)
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}
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f = append(f, "stats", stats.NewQueryStats(q.Stats()))
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if span := opentracing.SpanFromContext(ctx); span != nil {
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if spanCtx, ok := span.Context().(jaeger.SpanContext); ok {
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f = append(f, "spanID", spanCtx.SpanID())
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}
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}
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if origin := ctx.Value(QueryOrigin{}); origin != nil {
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for k, v := range origin.(map[string]interface{}) {
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f = append(f, k, v)
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}
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}
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if err := l.Log(f...); err != nil {
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ng.metrics.queryLogFailures.Inc()
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level.Error(ng.logger).Log("msg", "can't log query", "err", err)
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}
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}
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ng.queryLoggerLock.RUnlock()
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}()
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execSpanTimer, ctx := q.stats.GetSpanTimer(ctx, stats.ExecTotalTime)
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defer execSpanTimer.Finish()
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queueSpanTimer, _ := q.stats.GetSpanTimer(ctx, stats.ExecQueueTime, ng.metrics.queryQueueTime)
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// Log query in active log. The active log guarantees that we don't run over
|
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// MaxConcurrent queries.
|
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if ng.activeQueryTracker != nil {
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queryIndex, err := ng.activeQueryTracker.Insert(ctx, q.q)
|
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if err != nil {
|
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queueSpanTimer.Finish()
|
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return nil, nil, contextErr(err, "query queue")
|
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}
|
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defer ng.activeQueryTracker.Delete(queryIndex)
|
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}
|
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queueSpanTimer.Finish()
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|
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// Cancel when execution is done or an error was raised.
|
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defer q.cancel()
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|
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const env = "query execution"
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|
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evalSpanTimer, ctx := q.stats.GetSpanTimer(ctx, stats.EvalTotalTime)
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defer evalSpanTimer.Finish()
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|
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// The base context might already be canceled on the first iteration (e.g. during shutdown).
|
|
if err := contextDone(ctx, env); err != nil {
|
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return nil, nil, err
|
|
}
|
|
|
|
switch s := q.Statement().(type) {
|
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case *parser.EvalStmt:
|
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return ng.execEvalStmt(ctx, q, s)
|
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case parser.TestStmt:
|
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return nil, nil, s(ctx)
|
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}
|
|
|
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panic(errors.Errorf("promql.Engine.exec: unhandled statement of type %T", q.Statement()))
|
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}
|
|
|
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func timeMilliseconds(t time.Time) int64 {
|
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return t.UnixNano() / int64(time.Millisecond/time.Nanosecond)
|
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}
|
|
|
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func durationMilliseconds(d time.Duration) int64 {
|
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return int64(d / (time.Millisecond / time.Nanosecond))
|
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}
|
|
|
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// execEvalStmt evaluates the expression of an evaluation statement for the given time range.
|
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func (ng *Engine) execEvalStmt(ctx context.Context, query *query, s *parser.EvalStmt) (parser.Value, storage.Warnings, error) {
|
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prepareSpanTimer, ctxPrepare := query.stats.GetSpanTimer(ctx, stats.QueryPreparationTime, ng.metrics.queryPrepareTime)
|
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mint := ng.findMinTime(s)
|
|
querier, err := query.queryable.Querier(ctxPrepare, timestamp.FromTime(mint), timestamp.FromTime(s.End))
|
|
if err != nil {
|
|
prepareSpanTimer.Finish()
|
|
return nil, nil, err
|
|
}
|
|
defer querier.Close()
|
|
|
|
ng.populateSeries(querier, s)
|
|
prepareSpanTimer.Finish()
|
|
|
|
evalSpanTimer, ctxInnerEval := query.stats.GetSpanTimer(ctx, stats.InnerEvalTime, ng.metrics.queryInnerEval)
|
|
// Instant evaluation. This is executed as a range evaluation with one step.
|
|
if s.Start == s.End && s.Interval == 0 {
|
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start := timeMilliseconds(s.Start)
|
|
evaluator := &evaluator{
|
|
startTimestamp: start,
|
|
endTimestamp: start,
|
|
interval: 1,
|
|
ctx: ctxInnerEval,
|
|
maxSamples: ng.maxSamplesPerQuery,
|
|
logger: ng.logger,
|
|
lookbackDelta: ng.lookbackDelta,
|
|
noStepSubqueryIntervalFn: ng.noStepSubqueryIntervalFn,
|
|
}
|
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|
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val, warnings, err := evaluator.Eval(s.Expr)
|
|
if err != nil {
|
|
return nil, warnings, err
|
|
}
|
|
|
|
evalSpanTimer.Finish()
|
|
|
|
var mat Matrix
|
|
|
|
switch result := val.(type) {
|
|
case Matrix:
|
|
mat = result
|
|
case String:
|
|
return result, warnings, nil
|
|
default:
|
|
panic(errors.Errorf("promql.Engine.exec: invalid expression type %q", val.Type()))
|
|
}
|
|
|
|
query.matrix = mat
|
|
switch s.Expr.Type() {
|
|
case parser.ValueTypeVector:
|
|
// Convert matrix with one value per series into vector.
|
|
vector := make(Vector, len(mat))
|
|
for i, s := range mat {
|
|
// Point might have a different timestamp, force it to the evaluation
|
|
// timestamp as that is when we ran the evaluation.
|
|
vector[i] = Sample{Metric: s.Metric, Point: Point{V: s.Points[0].V, T: start}}
|
|
}
|
|
return vector, warnings, nil
|
|
case parser.ValueTypeScalar:
|
|
return Scalar{V: mat[0].Points[0].V, T: start}, warnings, nil
|
|
case parser.ValueTypeMatrix:
|
|
return mat, warnings, nil
|
|
default:
|
|
panic(errors.Errorf("promql.Engine.exec: unexpected expression type %q", s.Expr.Type()))
|
|
}
|
|
}
|
|
|
|
// Range evaluation.
|
|
evaluator := &evaluator{
|
|
startTimestamp: timeMilliseconds(s.Start),
|
|
endTimestamp: timeMilliseconds(s.End),
|
|
interval: durationMilliseconds(s.Interval),
|
|
ctx: ctxInnerEval,
|
|
maxSamples: ng.maxSamplesPerQuery,
|
|
logger: ng.logger,
|
|
lookbackDelta: ng.lookbackDelta,
|
|
noStepSubqueryIntervalFn: ng.noStepSubqueryIntervalFn,
|
|
}
|
|
val, warnings, err := evaluator.Eval(s.Expr)
|
|
if err != nil {
|
|
return nil, warnings, err
|
|
}
|
|
evalSpanTimer.Finish()
|
|
|
|
mat, ok := val.(Matrix)
|
|
if !ok {
|
|
panic(errors.Errorf("promql.Engine.exec: invalid expression type %q", val.Type()))
|
|
}
|
|
query.matrix = mat
|
|
|
|
if err := contextDone(ctx, "expression evaluation"); err != nil {
|
|
return nil, warnings, err
|
|
}
|
|
|
|
// TODO(fabxc): where to ensure metric labels are a copy from the storage internals.
|
|
sortSpanTimer, _ := query.stats.GetSpanTimer(ctx, stats.ResultSortTime, ng.metrics.queryResultSort)
|
|
sort.Sort(mat)
|
|
sortSpanTimer.Finish()
|
|
|
|
return mat, warnings, nil
|
|
}
|
|
|
|
// subqueryOffsetRange returns the sum of offsets and ranges of all subqueries in the path.
|
|
func (ng *Engine) subqueryOffsetRange(path []parser.Node) (time.Duration, time.Duration) {
|
|
var (
|
|
subqOffset time.Duration
|
|
subqRange time.Duration
|
|
)
|
|
for _, node := range path {
|
|
switch n := node.(type) {
|
|
case *parser.SubqueryExpr:
|
|
subqOffset += n.Offset
|
|
subqRange += n.Range
|
|
}
|
|
}
|
|
return subqOffset, subqRange
|
|
}
|
|
|
|
func (ng *Engine) findMinTime(s *parser.EvalStmt) time.Time {
|
|
var maxOffset time.Duration
|
|
parser.Inspect(s.Expr, func(node parser.Node, path []parser.Node) error {
|
|
subqOffset, subqRange := ng.subqueryOffsetRange(path)
|
|
switch n := node.(type) {
|
|
case *parser.VectorSelector:
|
|
if maxOffset < ng.lookbackDelta+subqOffset+subqRange {
|
|
maxOffset = ng.lookbackDelta + subqOffset + subqRange
|
|
}
|
|
if n.Offset+ng.lookbackDelta+subqOffset+subqRange > maxOffset {
|
|
maxOffset = n.Offset + ng.lookbackDelta + subqOffset + subqRange
|
|
}
|
|
case *parser.MatrixSelector:
|
|
if maxOffset < n.Range+subqOffset+subqRange {
|
|
maxOffset = n.Range + subqOffset + subqRange
|
|
}
|
|
if m := n.VectorSelector.(*parser.VectorSelector).Offset + n.Range + subqOffset + subqRange; m > maxOffset {
|
|
maxOffset = m
|
|
}
|
|
}
|
|
return nil
|
|
})
|
|
return s.Start.Add(-maxOffset)
|
|
}
|
|
|
|
func (ng *Engine) populateSeries(querier storage.Querier, s *parser.EvalStmt) {
|
|
// Whenever a MatrixSelector is evaluated, evalRange is set to the corresponding range.
|
|
// The evaluation of the VectorSelector inside then evaluates the given range and unsets
|
|
// the variable.
|
|
var evalRange time.Duration
|
|
|
|
parser.Inspect(s.Expr, func(node parser.Node, path []parser.Node) error {
|
|
switch n := node.(type) {
|
|
case *parser.VectorSelector:
|
|
hints := &storage.SelectHints{
|
|
Start: timestamp.FromTime(s.Start),
|
|
End: timestamp.FromTime(s.End),
|
|
Step: durationMilliseconds(s.Interval),
|
|
}
|
|
|
|
// We need to make sure we select the timerange selected by the subquery.
|
|
// The subqueryOffsetRange function gives the sum of range and the
|
|
// sum of offset.
|
|
// TODO(bwplotka): Add support for better hints when subquerying. See: https://github.com/prometheus/prometheus/issues/7630.
|
|
subqOffset, subqRange := ng.subqueryOffsetRange(path)
|
|
offsetMilliseconds := durationMilliseconds(subqOffset)
|
|
hints.Start = hints.Start - offsetMilliseconds - durationMilliseconds(subqRange)
|
|
hints.End = hints.End - offsetMilliseconds
|
|
|
|
if evalRange == 0 {
|
|
hints.Start = hints.Start - durationMilliseconds(ng.lookbackDelta)
|
|
} else {
|
|
hints.Range = durationMilliseconds(evalRange)
|
|
// For all matrix queries we want to ensure that we have (end-start) + range selected
|
|
// this way we have `range` data before the start time
|
|
hints.Start = hints.Start - durationMilliseconds(evalRange)
|
|
evalRange = 0
|
|
}
|
|
|
|
hints.Func = extractFuncFromPath(path)
|
|
hints.By, hints.Grouping = extractGroupsFromPath(path)
|
|
if n.Offset > 0 {
|
|
offsetMilliseconds := durationMilliseconds(n.Offset)
|
|
hints.Start = hints.Start - offsetMilliseconds
|
|
hints.End = hints.End - offsetMilliseconds
|
|
}
|
|
|
|
n.UnexpandedSeriesSet = querier.Select(false, hints, n.LabelMatchers...)
|
|
case *parser.MatrixSelector:
|
|
evalRange = n.Range
|
|
}
|
|
return nil
|
|
})
|
|
}
|
|
|
|
// extractFuncFromPath walks up the path and searches for the first instance of
|
|
// a function or aggregation.
|
|
func extractFuncFromPath(p []parser.Node) string {
|
|
if len(p) == 0 {
|
|
return ""
|
|
}
|
|
switch n := p[len(p)-1].(type) {
|
|
case *parser.AggregateExpr:
|
|
return n.Op.String()
|
|
case *parser.Call:
|
|
return n.Func.Name
|
|
case *parser.BinaryExpr:
|
|
// If we hit a binary expression we terminate since we only care about functions
|
|
// or aggregations over a single metric.
|
|
return ""
|
|
}
|
|
return extractFuncFromPath(p[:len(p)-1])
|
|
}
|
|
|
|
// extractGroupsFromPath parses vector outer function and extracts grouping information if by or without was used.
|
|
func extractGroupsFromPath(p []parser.Node) (bool, []string) {
|
|
if len(p) == 0 {
|
|
return false, nil
|
|
}
|
|
switch n := p[len(p)-1].(type) {
|
|
case *parser.AggregateExpr:
|
|
return !n.Without, n.Grouping
|
|
}
|
|
return false, nil
|
|
}
|
|
|
|
func checkAndExpandSeriesSet(ctx context.Context, expr parser.Expr) (storage.Warnings, error) {
|
|
switch e := expr.(type) {
|
|
case *parser.MatrixSelector:
|
|
return checkAndExpandSeriesSet(ctx, e.VectorSelector)
|
|
case *parser.VectorSelector:
|
|
if e.Series != nil {
|
|
return nil, nil
|
|
}
|
|
series, ws, err := expandSeriesSet(ctx, e.UnexpandedSeriesSet)
|
|
e.Series = series
|
|
return ws, err
|
|
}
|
|
return nil, nil
|
|
}
|
|
|
|
func expandSeriesSet(ctx context.Context, it storage.SeriesSet) (res []storage.Series, ws storage.Warnings, err error) {
|
|
for it.Next() {
|
|
select {
|
|
case <-ctx.Done():
|
|
return nil, nil, ctx.Err()
|
|
default:
|
|
}
|
|
res = append(res, it.At())
|
|
}
|
|
return res, it.Warnings(), it.Err()
|
|
}
|
|
|
|
type errWithWarnings struct {
|
|
err error
|
|
warnings storage.Warnings
|
|
}
|
|
|
|
func (e errWithWarnings) Error() string { return e.err.Error() }
|
|
|
|
// An evaluator evaluates given expressions over given fixed timestamps. It
|
|
// is attached to an engine through which it connects to a querier and reports
|
|
// errors. On timeout or cancellation of its context it terminates.
|
|
type evaluator struct {
|
|
ctx context.Context
|
|
|
|
startTimestamp int64 // Start time in milliseconds.
|
|
endTimestamp int64 // End time in milliseconds.
|
|
interval int64 // Interval in milliseconds.
|
|
|
|
maxSamples int
|
|
currentSamples int
|
|
logger log.Logger
|
|
lookbackDelta time.Duration
|
|
noStepSubqueryIntervalFn func(rangeMillis int64) int64
|
|
}
|
|
|
|
// errorf causes a panic with the input formatted into an error.
|
|
func (ev *evaluator) errorf(format string, args ...interface{}) {
|
|
ev.error(errors.Errorf(format, args...))
|
|
}
|
|
|
|
// error causes a panic with the given error.
|
|
func (ev *evaluator) error(err error) {
|
|
panic(err)
|
|
}
|
|
|
|
// recover is the handler that turns panics into returns from the top level of evaluation.
|
|
func (ev *evaluator) recover(ws *storage.Warnings, errp *error) {
|
|
e := recover()
|
|
if e == nil {
|
|
return
|
|
}
|
|
|
|
switch err := e.(type) {
|
|
case runtime.Error:
|
|
// Print the stack trace but do not inhibit the running application.
|
|
buf := make([]byte, 64<<10)
|
|
buf = buf[:runtime.Stack(buf, false)]
|
|
|
|
level.Error(ev.logger).Log("msg", "runtime panic in parser", "err", e, "stacktrace", string(buf))
|
|
*errp = errors.Wrap(err, "unexpected error")
|
|
case errWithWarnings:
|
|
*errp = err.err
|
|
*ws = append(*ws, err.warnings...)
|
|
default:
|
|
*errp = e.(error)
|
|
}
|
|
}
|
|
|
|
func (ev *evaluator) Eval(expr parser.Expr) (v parser.Value, ws storage.Warnings, err error) {
|
|
defer ev.recover(&ws, &err)
|
|
|
|
v, ws = ev.eval(expr)
|
|
return v, ws, nil
|
|
}
|
|
|
|
// EvalNodeHelper stores extra information and caches for evaluating a single node across steps.
|
|
type EvalNodeHelper struct {
|
|
// Evaluation timestamp.
|
|
Ts int64
|
|
// Vector that can be used for output.
|
|
Out Vector
|
|
|
|
// Caches.
|
|
// DropMetricName and label_*.
|
|
Dmn map[uint64]labels.Labels
|
|
// signatureFunc.
|
|
sigf map[string]string
|
|
// funcHistogramQuantile.
|
|
signatureToMetricWithBuckets map[string]*metricWithBuckets
|
|
// label_replace.
|
|
regex *regexp.Regexp
|
|
|
|
lb *labels.Builder
|
|
lblBuf []byte
|
|
lblResultBuf []byte
|
|
|
|
// For binary vector matching.
|
|
rightSigs map[string]Sample
|
|
matchedSigs map[string]map[uint64]struct{}
|
|
resultMetric map[string]labels.Labels
|
|
}
|
|
|
|
// DropMetricName is a cached version of DropMetricName.
|
|
func (enh *EvalNodeHelper) DropMetricName(l labels.Labels) labels.Labels {
|
|
if enh.Dmn == nil {
|
|
enh.Dmn = make(map[uint64]labels.Labels, len(enh.Out))
|
|
}
|
|
h := l.Hash()
|
|
ret, ok := enh.Dmn[h]
|
|
if ok {
|
|
return ret
|
|
}
|
|
ret = dropMetricName(l)
|
|
enh.Dmn[h] = ret
|
|
return ret
|
|
}
|
|
|
|
func (enh *EvalNodeHelper) signatureFunc(on bool, names ...string) func(labels.Labels) string {
|
|
if enh.sigf == nil {
|
|
enh.sigf = make(map[string]string, len(enh.Out))
|
|
}
|
|
f := signatureFunc(on, enh.lblBuf, names...)
|
|
return func(l labels.Labels) string {
|
|
enh.lblBuf = l.Bytes(enh.lblBuf)
|
|
ret, ok := enh.sigf[string(enh.lblBuf)]
|
|
if ok {
|
|
return ret
|
|
}
|
|
ret = f(l)
|
|
enh.sigf[string(enh.lblBuf)] = ret
|
|
return ret
|
|
}
|
|
}
|
|
|
|
// rangeEval evaluates the given expressions, and then for each step calls
|
|
// the given function with the values computed for each expression at that
|
|
// step. The return value is the combination into time series of all the
|
|
// function call results.
|
|
func (ev *evaluator) rangeEval(f func([]parser.Value, *EvalNodeHelper) (Vector, storage.Warnings), exprs ...parser.Expr) (Matrix, storage.Warnings) {
|
|
numSteps := int((ev.endTimestamp-ev.startTimestamp)/ev.interval) + 1
|
|
matrixes := make([]Matrix, len(exprs))
|
|
origMatrixes := make([]Matrix, len(exprs))
|
|
originalNumSamples := ev.currentSamples
|
|
|
|
var warnings storage.Warnings
|
|
for i, e := range exprs {
|
|
// Functions will take string arguments from the expressions, not the values.
|
|
if e != nil && e.Type() != parser.ValueTypeString {
|
|
// ev.currentSamples will be updated to the correct value within the ev.eval call.
|
|
val, ws := ev.eval(e)
|
|
warnings = append(warnings, ws...)
|
|
matrixes[i] = val.(Matrix)
|
|
|
|
// Keep a copy of the original point slices so that they
|
|
// can be returned to the pool.
|
|
origMatrixes[i] = make(Matrix, len(matrixes[i]))
|
|
copy(origMatrixes[i], matrixes[i])
|
|
}
|
|
}
|
|
|
|
vectors := make([]Vector, len(exprs)) // Input vectors for the function.
|
|
args := make([]parser.Value, len(exprs)) // Argument to function.
|
|
// Create an output vector that is as big as the input matrix with
|
|
// the most time series.
|
|
biggestLen := 1
|
|
for i := range exprs {
|
|
vectors[i] = make(Vector, 0, len(matrixes[i]))
|
|
if len(matrixes[i]) > biggestLen {
|
|
biggestLen = len(matrixes[i])
|
|
}
|
|
}
|
|
enh := &EvalNodeHelper{Out: make(Vector, 0, biggestLen)}
|
|
seriess := make(map[uint64]Series, biggestLen) // Output series by series hash.
|
|
tempNumSamples := ev.currentSamples
|
|
for ts := ev.startTimestamp; ts <= ev.endTimestamp; ts += ev.interval {
|
|
if err := contextDone(ev.ctx, "expression evaluation"); err != nil {
|
|
ev.error(err)
|
|
}
|
|
// Reset number of samples in memory after each timestamp.
|
|
ev.currentSamples = tempNumSamples
|
|
// Gather input vectors for this timestamp.
|
|
for i := range exprs {
|
|
vectors[i] = vectors[i][:0]
|
|
for si, series := range matrixes[i] {
|
|
for _, point := range series.Points {
|
|
if point.T == ts {
|
|
if ev.currentSamples < ev.maxSamples {
|
|
vectors[i] = append(vectors[i], Sample{Metric: series.Metric, Point: point})
|
|
// Move input vectors forward so we don't have to re-scan the same
|
|
// past points at the next step.
|
|
matrixes[i][si].Points = series.Points[1:]
|
|
ev.currentSamples++
|
|
} else {
|
|
ev.error(ErrTooManySamples(env))
|
|
}
|
|
}
|
|
break
|
|
}
|
|
}
|
|
args[i] = vectors[i]
|
|
}
|
|
// Make the function call.
|
|
enh.Ts = ts
|
|
result, ws := f(args, enh)
|
|
if result.ContainsSameLabelset() {
|
|
ev.errorf("vector cannot contain metrics with the same labelset")
|
|
}
|
|
enh.Out = result[:0] // Reuse result vector.
|
|
warnings = append(warnings, ws...)
|
|
|
|
ev.currentSamples += len(result)
|
|
// When we reset currentSamples to tempNumSamples during the next iteration of the loop it also
|
|
// needs to include the samples from the result here, as they're still in memory.
|
|
tempNumSamples += len(result)
|
|
|
|
if ev.currentSamples > ev.maxSamples {
|
|
ev.error(ErrTooManySamples(env))
|
|
}
|
|
|
|
// If this could be an instant query, shortcut so as not to change sort order.
|
|
if ev.endTimestamp == ev.startTimestamp {
|
|
mat := make(Matrix, len(result))
|
|
for i, s := range result {
|
|
s.Point.T = ts
|
|
mat[i] = Series{Metric: s.Metric, Points: []Point{s.Point}}
|
|
}
|
|
ev.currentSamples = originalNumSamples + mat.TotalSamples()
|
|
return mat, warnings
|
|
}
|
|
|
|
// Add samples in output vector to output series.
|
|
for _, sample := range result {
|
|
h := sample.Metric.Hash()
|
|
ss, ok := seriess[h]
|
|
if !ok {
|
|
ss = Series{
|
|
Metric: sample.Metric,
|
|
Points: getPointSlice(numSteps),
|
|
}
|
|
}
|
|
sample.Point.T = ts
|
|
ss.Points = append(ss.Points, sample.Point)
|
|
seriess[h] = ss
|
|
|
|
}
|
|
}
|
|
|
|
// Reuse the original point slices.
|
|
for _, m := range origMatrixes {
|
|
for _, s := range m {
|
|
putPointSlice(s.Points)
|
|
}
|
|
}
|
|
// Assemble the output matrix. By the time we get here we know we don't have too many samples.
|
|
mat := make(Matrix, 0, len(seriess))
|
|
for _, ss := range seriess {
|
|
mat = append(mat, ss)
|
|
}
|
|
ev.currentSamples = originalNumSamples + mat.TotalSamples()
|
|
return mat, warnings
|
|
}
|
|
|
|
// evalSubquery evaluates given SubqueryExpr and returns an equivalent
|
|
// evaluated MatrixSelector in its place. Note that the Name and LabelMatchers are not set.
|
|
func (ev *evaluator) evalSubquery(subq *parser.SubqueryExpr) (*parser.MatrixSelector, storage.Warnings) {
|
|
val, ws := ev.eval(subq)
|
|
mat := val.(Matrix)
|
|
vs := &parser.VectorSelector{
|
|
Offset: subq.Offset,
|
|
Series: make([]storage.Series, 0, len(mat)),
|
|
}
|
|
ms := &parser.MatrixSelector{
|
|
Range: subq.Range,
|
|
VectorSelector: vs,
|
|
}
|
|
for _, s := range mat {
|
|
vs.Series = append(vs.Series, NewStorageSeries(s))
|
|
}
|
|
return ms, ws
|
|
}
|
|
|
|
// eval evaluates the given expression as the given AST expression node requires.
|
|
func (ev *evaluator) eval(expr parser.Expr) (parser.Value, storage.Warnings) {
|
|
// This is the top-level evaluation method.
|
|
// Thus, we check for timeout/cancellation here.
|
|
if err := contextDone(ev.ctx, "expression evaluation"); err != nil {
|
|
ev.error(err)
|
|
}
|
|
numSteps := int((ev.endTimestamp-ev.startTimestamp)/ev.interval) + 1
|
|
|
|
switch e := expr.(type) {
|
|
case *parser.AggregateExpr:
|
|
unwrapParenExpr(&e.Param)
|
|
if s, ok := e.Param.(*parser.StringLiteral); ok {
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return ev.aggregation(e.Op, e.Grouping, e.Without, s.Val, v[0].(Vector), enh), nil
|
|
}, e.Expr)
|
|
}
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
var param float64
|
|
if e.Param != nil {
|
|
param = v[0].(Vector)[0].V
|
|
}
|
|
return ev.aggregation(e.Op, e.Grouping, e.Without, param, v[1].(Vector), enh), nil
|
|
}, e.Param, e.Expr)
|
|
|
|
case *parser.Call:
|
|
call := FunctionCalls[e.Func.Name]
|
|
|
|
if e.Func.Name == "timestamp" {
|
|
// Matrix evaluation always returns the evaluation time,
|
|
// so this function needs special handling when given
|
|
// a vector selector.
|
|
unwrapParenExpr(&e.Args[0])
|
|
vs, ok := e.Args[0].(*parser.VectorSelector)
|
|
if ok {
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
val, ws := ev.vectorSelector(vs, enh.Ts)
|
|
return call([]parser.Value{val}, e.Args, enh), ws
|
|
})
|
|
}
|
|
}
|
|
|
|
// Check if the function has a matrix argument.
|
|
var (
|
|
matrixArgIndex int
|
|
matrixArg bool
|
|
warnings storage.Warnings
|
|
)
|
|
for i := range e.Args {
|
|
unwrapParenExpr(&e.Args[i])
|
|
a := e.Args[i]
|
|
if _, ok := a.(*parser.MatrixSelector); ok {
|
|
matrixArgIndex = i
|
|
matrixArg = true
|
|
break
|
|
}
|
|
// parser.SubqueryExpr can be used in place of parser.MatrixSelector.
|
|
if subq, ok := a.(*parser.SubqueryExpr); ok {
|
|
matrixArgIndex = i
|
|
matrixArg = true
|
|
// Replacing parser.SubqueryExpr with parser.MatrixSelector.
|
|
val, ws := ev.evalSubquery(subq)
|
|
e.Args[i] = val
|
|
warnings = append(warnings, ws...)
|
|
break
|
|
}
|
|
}
|
|
if !matrixArg {
|
|
// Does not have a matrix argument.
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return call(v, e.Args, enh), warnings
|
|
}, e.Args...)
|
|
}
|
|
|
|
inArgs := make([]parser.Value, len(e.Args))
|
|
// Evaluate any non-matrix arguments.
|
|
otherArgs := make([]Matrix, len(e.Args))
|
|
otherInArgs := make([]Vector, len(e.Args))
|
|
for i, e := range e.Args {
|
|
if i != matrixArgIndex {
|
|
val, ws := ev.eval(e)
|
|
otherArgs[i] = val.(Matrix)
|
|
otherInArgs[i] = Vector{Sample{}}
|
|
inArgs[i] = otherInArgs[i]
|
|
warnings = append(warnings, ws...)
|
|
}
|
|
}
|
|
|
|
sel := e.Args[matrixArgIndex].(*parser.MatrixSelector)
|
|
selVS := sel.VectorSelector.(*parser.VectorSelector)
|
|
|
|
ws, err := checkAndExpandSeriesSet(ev.ctx, sel)
|
|
warnings = append(warnings, ws...)
|
|
if err != nil {
|
|
ev.error(errWithWarnings{errors.Wrap(err, "expanding series"), warnings})
|
|
}
|
|
mat := make(Matrix, 0, len(selVS.Series)) // Output matrix.
|
|
offset := durationMilliseconds(selVS.Offset)
|
|
selRange := durationMilliseconds(sel.Range)
|
|
stepRange := selRange
|
|
if stepRange > ev.interval {
|
|
stepRange = ev.interval
|
|
}
|
|
// Reuse objects across steps to save memory allocations.
|
|
points := getPointSlice(16)
|
|
inMatrix := make(Matrix, 1)
|
|
inArgs[matrixArgIndex] = inMatrix
|
|
enh := &EvalNodeHelper{Out: make(Vector, 0, 1)}
|
|
// Process all the calls for one time series at a time.
|
|
it := storage.NewBuffer(selRange)
|
|
for i, s := range selVS.Series {
|
|
ev.currentSamples -= len(points)
|
|
points = points[:0]
|
|
it.Reset(s.Iterator())
|
|
ss := Series{
|
|
// For all range vector functions, the only change to the
|
|
// output labels is dropping the metric name so just do
|
|
// it once here.
|
|
Metric: dropMetricName(selVS.Series[i].Labels()),
|
|
Points: getPointSlice(numSteps),
|
|
}
|
|
inMatrix[0].Metric = selVS.Series[i].Labels()
|
|
for ts, step := ev.startTimestamp, -1; ts <= ev.endTimestamp; ts += ev.interval {
|
|
step++
|
|
// Set the non-matrix arguments.
|
|
// They are scalar, so it is safe to use the step number
|
|
// when looking up the argument, as there will be no gaps.
|
|
for j := range e.Args {
|
|
if j != matrixArgIndex {
|
|
otherInArgs[j][0].V = otherArgs[j][0].Points[step].V
|
|
}
|
|
}
|
|
maxt := ts - offset
|
|
mint := maxt - selRange
|
|
// Evaluate the matrix selector for this series for this step.
|
|
points = ev.matrixIterSlice(it, mint, maxt, points)
|
|
if len(points) == 0 {
|
|
continue
|
|
}
|
|
inMatrix[0].Points = points
|
|
enh.Ts = ts
|
|
// Make the function call.
|
|
outVec := call(inArgs, e.Args, enh)
|
|
enh.Out = outVec[:0]
|
|
if len(outVec) > 0 {
|
|
ss.Points = append(ss.Points, Point{V: outVec[0].Point.V, T: ts})
|
|
}
|
|
// Only buffer stepRange milliseconds from the second step on.
|
|
it.ReduceDelta(stepRange)
|
|
}
|
|
if len(ss.Points) > 0 {
|
|
if ev.currentSamples < ev.maxSamples {
|
|
mat = append(mat, ss)
|
|
ev.currentSamples += len(ss.Points)
|
|
} else {
|
|
ev.error(ErrTooManySamples(env))
|
|
}
|
|
} else {
|
|
putPointSlice(ss.Points)
|
|
}
|
|
}
|
|
|
|
ev.currentSamples -= len(points)
|
|
putPointSlice(points)
|
|
|
|
// The absent_over_time function returns 0 or 1 series. So far, the matrix
|
|
// contains multiple series. The following code will create a new series
|
|
// with values of 1 for the timestamps where no series has value.
|
|
if e.Func.Name == "absent_over_time" {
|
|
steps := int(1 + (ev.endTimestamp-ev.startTimestamp)/ev.interval)
|
|
// Iterate once to look for a complete series.
|
|
for _, s := range mat {
|
|
if len(s.Points) == steps {
|
|
return Matrix{}, warnings
|
|
}
|
|
}
|
|
|
|
found := map[int64]struct{}{}
|
|
|
|
for i, s := range mat {
|
|
for _, p := range s.Points {
|
|
found[p.T] = struct{}{}
|
|
}
|
|
if i > 0 && len(found) == steps {
|
|
return Matrix{}, warnings
|
|
}
|
|
}
|
|
|
|
newp := make([]Point, 0, steps-len(found))
|
|
for ts := ev.startTimestamp; ts <= ev.endTimestamp; ts += ev.interval {
|
|
if _, ok := found[ts]; !ok {
|
|
newp = append(newp, Point{T: ts, V: 1})
|
|
}
|
|
}
|
|
|
|
return Matrix{
|
|
Series{
|
|
Metric: createLabelsForAbsentFunction(e.Args[0]),
|
|
Points: newp,
|
|
},
|
|
}, warnings
|
|
}
|
|
|
|
if mat.ContainsSameLabelset() {
|
|
ev.errorf("vector cannot contain metrics with the same labelset")
|
|
}
|
|
|
|
return mat, warnings
|
|
|
|
case *parser.ParenExpr:
|
|
return ev.eval(e.Expr)
|
|
|
|
case *parser.UnaryExpr:
|
|
val, ws := ev.eval(e.Expr)
|
|
mat := val.(Matrix)
|
|
if e.Op == parser.SUB {
|
|
for i := range mat {
|
|
mat[i].Metric = dropMetricName(mat[i].Metric)
|
|
for j := range mat[i].Points {
|
|
mat[i].Points[j].V = -mat[i].Points[j].V
|
|
}
|
|
}
|
|
if mat.ContainsSameLabelset() {
|
|
ev.errorf("vector cannot contain metrics with the same labelset")
|
|
}
|
|
}
|
|
return mat, ws
|
|
|
|
case *parser.BinaryExpr:
|
|
switch lt, rt := e.LHS.Type(), e.RHS.Type(); {
|
|
case lt == parser.ValueTypeScalar && rt == parser.ValueTypeScalar:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
val := scalarBinop(e.Op, v[0].(Vector)[0].Point.V, v[1].(Vector)[0].Point.V)
|
|
return append(enh.Out, Sample{Point: Point{V: val}}), nil
|
|
}, e.LHS, e.RHS)
|
|
case lt == parser.ValueTypeVector && rt == parser.ValueTypeVector:
|
|
switch e.Op {
|
|
case parser.LAND:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return ev.VectorAnd(v[0].(Vector), v[1].(Vector), e.VectorMatching, enh), nil
|
|
}, e.LHS, e.RHS)
|
|
case parser.LOR:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return ev.VectorOr(v[0].(Vector), v[1].(Vector), e.VectorMatching, enh), nil
|
|
}, e.LHS, e.RHS)
|
|
case parser.LUNLESS:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return ev.VectorUnless(v[0].(Vector), v[1].(Vector), e.VectorMatching, enh), nil
|
|
}, e.LHS, e.RHS)
|
|
default:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return ev.VectorBinop(e.Op, v[0].(Vector), v[1].(Vector), e.VectorMatching, e.ReturnBool, enh), nil
|
|
}, e.LHS, e.RHS)
|
|
}
|
|
|
|
case lt == parser.ValueTypeVector && rt == parser.ValueTypeScalar:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return ev.VectorscalarBinop(e.Op, v[0].(Vector), Scalar{V: v[1].(Vector)[0].Point.V}, false, e.ReturnBool, enh), nil
|
|
}, e.LHS, e.RHS)
|
|
|
|
case lt == parser.ValueTypeScalar && rt == parser.ValueTypeVector:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return ev.VectorscalarBinop(e.Op, v[1].(Vector), Scalar{V: v[0].(Vector)[0].Point.V}, true, e.ReturnBool, enh), nil
|
|
}, e.LHS, e.RHS)
|
|
}
|
|
|
|
case *parser.NumberLiteral:
|
|
return ev.rangeEval(func(v []parser.Value, enh *EvalNodeHelper) (Vector, storage.Warnings) {
|
|
return append(enh.Out, Sample{Point: Point{V: e.Val}}), nil
|
|
})
|
|
|
|
case *parser.VectorSelector:
|
|
ws, err := checkAndExpandSeriesSet(ev.ctx, e)
|
|
if err != nil {
|
|
ev.error(errWithWarnings{errors.Wrap(err, "expanding series"), ws})
|
|
}
|
|
mat := make(Matrix, 0, len(e.Series))
|
|
it := storage.NewBuffer(durationMilliseconds(ev.lookbackDelta))
|
|
for i, s := range e.Series {
|
|
it.Reset(s.Iterator())
|
|
ss := Series{
|
|
Metric: e.Series[i].Labels(),
|
|
Points: getPointSlice(numSteps),
|
|
}
|
|
|
|
for ts := ev.startTimestamp; ts <= ev.endTimestamp; ts += ev.interval {
|
|
_, v, ok := ev.vectorSelectorSingle(it, e, ts)
|
|
if ok {
|
|
if ev.currentSamples < ev.maxSamples {
|
|
ss.Points = append(ss.Points, Point{V: v, T: ts})
|
|
ev.currentSamples++
|
|
} else {
|
|
ev.error(ErrTooManySamples(env))
|
|
}
|
|
}
|
|
}
|
|
|
|
if len(ss.Points) > 0 {
|
|
mat = append(mat, ss)
|
|
} else {
|
|
putPointSlice(ss.Points)
|
|
}
|
|
}
|
|
return mat, ws
|
|
|
|
case *parser.MatrixSelector:
|
|
if ev.startTimestamp != ev.endTimestamp {
|
|
panic(errors.New("cannot do range evaluation of matrix selector"))
|
|
}
|
|
return ev.matrixSelector(e)
|
|
|
|
case *parser.SubqueryExpr:
|
|
offsetMillis := durationMilliseconds(e.Offset)
|
|
rangeMillis := durationMilliseconds(e.Range)
|
|
newEv := &evaluator{
|
|
endTimestamp: ev.endTimestamp - offsetMillis,
|
|
ctx: ev.ctx,
|
|
currentSamples: ev.currentSamples,
|
|
maxSamples: ev.maxSamples,
|
|
logger: ev.logger,
|
|
lookbackDelta: ev.lookbackDelta,
|
|
noStepSubqueryIntervalFn: ev.noStepSubqueryIntervalFn,
|
|
}
|
|
|
|
if e.Step != 0 {
|
|
newEv.interval = durationMilliseconds(e.Step)
|
|
} else {
|
|
newEv.interval = ev.noStepSubqueryIntervalFn(rangeMillis)
|
|
}
|
|
|
|
// Start with the first timestamp after (ev.startTimestamp - offset - range)
|
|
// that is aligned with the step (multiple of 'newEv.interval').
|
|
newEv.startTimestamp = newEv.interval * ((ev.startTimestamp - offsetMillis - rangeMillis) / newEv.interval)
|
|
if newEv.startTimestamp < (ev.startTimestamp - offsetMillis - rangeMillis) {
|
|
newEv.startTimestamp += newEv.interval
|
|
}
|
|
|
|
res, ws := newEv.eval(e.Expr)
|
|
ev.currentSamples = newEv.currentSamples
|
|
return res, ws
|
|
case *parser.StringLiteral:
|
|
return String{V: e.Val, T: ev.startTimestamp}, nil
|
|
}
|
|
|
|
panic(errors.Errorf("unhandled expression of type: %T", expr))
|
|
}
|
|
|
|
// vectorSelector evaluates a *parser.VectorSelector expression.
|
|
func (ev *evaluator) vectorSelector(node *parser.VectorSelector, ts int64) (Vector, storage.Warnings) {
|
|
ws, err := checkAndExpandSeriesSet(ev.ctx, node)
|
|
if err != nil {
|
|
ev.error(errWithWarnings{errors.Wrap(err, "expanding series"), ws})
|
|
}
|
|
vec := make(Vector, 0, len(node.Series))
|
|
it := storage.NewBuffer(durationMilliseconds(ev.lookbackDelta))
|
|
for i, s := range node.Series {
|
|
it.Reset(s.Iterator())
|
|
|
|
t, v, ok := ev.vectorSelectorSingle(it, node, ts)
|
|
if ok {
|
|
vec = append(vec, Sample{
|
|
Metric: node.Series[i].Labels(),
|
|
Point: Point{V: v, T: t},
|
|
})
|
|
ev.currentSamples++
|
|
}
|
|
|
|
if ev.currentSamples >= ev.maxSamples {
|
|
ev.error(ErrTooManySamples(env))
|
|
}
|
|
}
|
|
return vec, ws
|
|
}
|
|
|
|
// vectorSelectorSingle evaluates a instant vector for the iterator of one time series.
|
|
func (ev *evaluator) vectorSelectorSingle(it *storage.BufferedSeriesIterator, node *parser.VectorSelector, ts int64) (int64, float64, bool) {
|
|
refTime := ts - durationMilliseconds(node.Offset)
|
|
var t int64
|
|
var v float64
|
|
|
|
ok := it.Seek(refTime)
|
|
if !ok {
|
|
if it.Err() != nil {
|
|
ev.error(it.Err())
|
|
}
|
|
}
|
|
|
|
if ok {
|
|
t, v = it.Values()
|
|
}
|
|
|
|
if !ok || t > refTime {
|
|
t, v, ok = it.PeekBack(1)
|
|
if !ok || t < refTime-durationMilliseconds(ev.lookbackDelta) {
|
|
return 0, 0, false
|
|
}
|
|
}
|
|
if value.IsStaleNaN(v) {
|
|
return 0, 0, false
|
|
}
|
|
return t, v, true
|
|
}
|
|
|
|
var pointPool = sync.Pool{}
|
|
|
|
func getPointSlice(sz int) []Point {
|
|
p := pointPool.Get()
|
|
if p != nil {
|
|
return p.([]Point)
|
|
}
|
|
return make([]Point, 0, sz)
|
|
}
|
|
|
|
func putPointSlice(p []Point) {
|
|
//lint:ignore SA6002 relax staticcheck verification.
|
|
pointPool.Put(p[:0])
|
|
}
|
|
|
|
// matrixSelector evaluates a *parser.MatrixSelector expression.
|
|
func (ev *evaluator) matrixSelector(node *parser.MatrixSelector) (Matrix, storage.Warnings) {
|
|
var (
|
|
vs = node.VectorSelector.(*parser.VectorSelector)
|
|
|
|
offset = durationMilliseconds(vs.Offset)
|
|
maxt = ev.startTimestamp - offset
|
|
mint = maxt - durationMilliseconds(node.Range)
|
|
matrix = make(Matrix, 0, len(vs.Series))
|
|
|
|
it = storage.NewBuffer(durationMilliseconds(node.Range))
|
|
)
|
|
ws, err := checkAndExpandSeriesSet(ev.ctx, node)
|
|
if err != nil {
|
|
ev.error(errWithWarnings{errors.Wrap(err, "expanding series"), ws})
|
|
}
|
|
|
|
series := vs.Series
|
|
for i, s := range series {
|
|
if err := contextDone(ev.ctx, "expression evaluation"); err != nil {
|
|
ev.error(err)
|
|
}
|
|
it.Reset(s.Iterator())
|
|
ss := Series{
|
|
Metric: series[i].Labels(),
|
|
}
|
|
|
|
ss.Points = ev.matrixIterSlice(it, mint, maxt, getPointSlice(16))
|
|
|
|
if len(ss.Points) > 0 {
|
|
matrix = append(matrix, ss)
|
|
} else {
|
|
putPointSlice(ss.Points)
|
|
}
|
|
}
|
|
return matrix, ws
|
|
}
|
|
|
|
// matrixIterSlice populates a matrix vector covering the requested range for a
|
|
// single time series, with points retrieved from an iterator.
|
|
//
|
|
// As an optimization, the matrix vector may already contain points of the same
|
|
// time series from the evaluation of an earlier step (with lower mint and maxt
|
|
// values). Any such points falling before mint are discarded; points that fall
|
|
// into the [mint, maxt] range are retained; only points with later timestamps
|
|
// are populated from the iterator.
|
|
func (ev *evaluator) matrixIterSlice(it *storage.BufferedSeriesIterator, mint, maxt int64, out []Point) []Point {
|
|
if len(out) > 0 && out[len(out)-1].T >= mint {
|
|
// There is an overlap between previous and current ranges, retain common
|
|
// points. In most such cases:
|
|
// (a) the overlap is significantly larger than the eval step; and/or
|
|
// (b) the number of samples is relatively small.
|
|
// so a linear search will be as fast as a binary search.
|
|
var drop int
|
|
for drop = 0; out[drop].T < mint; drop++ {
|
|
}
|
|
ev.currentSamples -= drop
|
|
copy(out, out[drop:])
|
|
out = out[:len(out)-drop]
|
|
// Only append points with timestamps after the last timestamp we have.
|
|
mint = out[len(out)-1].T + 1
|
|
} else {
|
|
ev.currentSamples -= len(out)
|
|
out = out[:0]
|
|
}
|
|
|
|
ok := it.Seek(maxt)
|
|
if !ok {
|
|
if it.Err() != nil {
|
|
ev.error(it.Err())
|
|
}
|
|
}
|
|
|
|
buf := it.Buffer()
|
|
for buf.Next() {
|
|
t, v := buf.At()
|
|
if value.IsStaleNaN(v) {
|
|
continue
|
|
}
|
|
// Values in the buffer are guaranteed to be smaller than maxt.
|
|
if t >= mint {
|
|
if ev.currentSamples >= ev.maxSamples {
|
|
ev.error(ErrTooManySamples(env))
|
|
}
|
|
out = append(out, Point{T: t, V: v})
|
|
ev.currentSamples++
|
|
}
|
|
}
|
|
// The seeked sample might also be in the range.
|
|
if ok {
|
|
t, v := it.Values()
|
|
if t == maxt && !value.IsStaleNaN(v) {
|
|
if ev.currentSamples >= ev.maxSamples {
|
|
ev.error(ErrTooManySamples(env))
|
|
}
|
|
out = append(out, Point{T: t, V: v})
|
|
ev.currentSamples++
|
|
}
|
|
}
|
|
return out
|
|
}
|
|
|
|
func (ev *evaluator) VectorAnd(lhs, rhs Vector, matching *parser.VectorMatching, enh *EvalNodeHelper) Vector {
|
|
if matching.Card != parser.CardManyToMany {
|
|
panic("set operations must only use many-to-many matching")
|
|
}
|
|
sigf := enh.signatureFunc(matching.On, matching.MatchingLabels...)
|
|
|
|
// The set of signatures for the right-hand side Vector.
|
|
rightSigs := map[string]struct{}{}
|
|
// Add all rhs samples to a map so we can easily find matches later.
|
|
for _, rs := range rhs {
|
|
rightSigs[sigf(rs.Metric)] = struct{}{}
|
|
}
|
|
|
|
for _, ls := range lhs {
|
|
// If there's a matching entry in the right-hand side Vector, add the sample.
|
|
if _, ok := rightSigs[sigf(ls.Metric)]; ok {
|
|
enh.Out = append(enh.Out, ls)
|
|
}
|
|
}
|
|
return enh.Out
|
|
}
|
|
|
|
func (ev *evaluator) VectorOr(lhs, rhs Vector, matching *parser.VectorMatching, enh *EvalNodeHelper) Vector {
|
|
if matching.Card != parser.CardManyToMany {
|
|
panic("set operations must only use many-to-many matching")
|
|
}
|
|
sigf := enh.signatureFunc(matching.On, matching.MatchingLabels...)
|
|
|
|
leftSigs := map[string]struct{}{}
|
|
// Add everything from the left-hand-side Vector.
|
|
for _, ls := range lhs {
|
|
leftSigs[sigf(ls.Metric)] = struct{}{}
|
|
enh.Out = append(enh.Out, ls)
|
|
}
|
|
// Add all right-hand side elements which have not been added from the left-hand side.
|
|
for _, rs := range rhs {
|
|
if _, ok := leftSigs[sigf(rs.Metric)]; !ok {
|
|
enh.Out = append(enh.Out, rs)
|
|
}
|
|
}
|
|
return enh.Out
|
|
}
|
|
|
|
func (ev *evaluator) VectorUnless(lhs, rhs Vector, matching *parser.VectorMatching, enh *EvalNodeHelper) Vector {
|
|
if matching.Card != parser.CardManyToMany {
|
|
panic("set operations must only use many-to-many matching")
|
|
}
|
|
sigf := enh.signatureFunc(matching.On, matching.MatchingLabels...)
|
|
|
|
rightSigs := map[string]struct{}{}
|
|
for _, rs := range rhs {
|
|
rightSigs[sigf(rs.Metric)] = struct{}{}
|
|
}
|
|
|
|
for _, ls := range lhs {
|
|
if _, ok := rightSigs[sigf(ls.Metric)]; !ok {
|
|
enh.Out = append(enh.Out, ls)
|
|
}
|
|
}
|
|
return enh.Out
|
|
}
|
|
|
|
// VectorBinop evaluates a binary operation between two Vectors, excluding set operators.
|
|
func (ev *evaluator) VectorBinop(op parser.ItemType, lhs, rhs Vector, matching *parser.VectorMatching, returnBool bool, enh *EvalNodeHelper) Vector {
|
|
if matching.Card == parser.CardManyToMany {
|
|
panic("many-to-many only allowed for set operators")
|
|
}
|
|
sigf := enh.signatureFunc(matching.On, matching.MatchingLabels...)
|
|
|
|
// The control flow below handles one-to-one or many-to-one matching.
|
|
// For one-to-many, swap sidedness and account for the swap when calculating
|
|
// values.
|
|
if matching.Card == parser.CardOneToMany {
|
|
lhs, rhs = rhs, lhs
|
|
}
|
|
|
|
// All samples from the rhs hashed by the matching label/values.
|
|
if enh.rightSigs == nil {
|
|
enh.rightSigs = make(map[string]Sample, len(enh.Out))
|
|
} else {
|
|
for k := range enh.rightSigs {
|
|
delete(enh.rightSigs, k)
|
|
}
|
|
}
|
|
rightSigs := enh.rightSigs
|
|
|
|
// Add all rhs samples to a map so we can easily find matches later.
|
|
for _, rs := range rhs {
|
|
sig := sigf(rs.Metric)
|
|
// The rhs is guaranteed to be the 'one' side. Having multiple samples
|
|
// with the same signature means that the matching is many-to-many.
|
|
if duplSample, found := rightSigs[sig]; found {
|
|
// oneSide represents which side of the vector represents the 'one' in the many-to-one relationship.
|
|
oneSide := "right"
|
|
if matching.Card == parser.CardOneToMany {
|
|
oneSide = "left"
|
|
}
|
|
matchedLabels := rs.Metric.MatchLabels(matching.On, matching.MatchingLabels...)
|
|
// Many-to-many matching not allowed.
|
|
ev.errorf("found duplicate series for the match group %s on the %s hand-side of the operation: [%s, %s]"+
|
|
";many-to-many matching not allowed: matching labels must be unique on one side", matchedLabels.String(), oneSide, rs.Metric.String(), duplSample.Metric.String())
|
|
}
|
|
rightSigs[sig] = rs
|
|
}
|
|
|
|
// Tracks the match-signature. For one-to-one operations the value is nil. For many-to-one
|
|
// the value is a set of signatures to detect duplicated result elements.
|
|
if enh.matchedSigs == nil {
|
|
enh.matchedSigs = make(map[string]map[uint64]struct{}, len(rightSigs))
|
|
} else {
|
|
for k := range enh.matchedSigs {
|
|
delete(enh.matchedSigs, k)
|
|
}
|
|
}
|
|
matchedSigs := enh.matchedSigs
|
|
|
|
// For all lhs samples find a respective rhs sample and perform
|
|
// the binary operation.
|
|
for _, ls := range lhs {
|
|
sig := sigf(ls.Metric)
|
|
|
|
rs, found := rightSigs[sig] // Look for a match in the rhs Vector.
|
|
if !found {
|
|
continue
|
|
}
|
|
|
|
// Account for potentially swapped sidedness.
|
|
vl, vr := ls.V, rs.V
|
|
if matching.Card == parser.CardOneToMany {
|
|
vl, vr = vr, vl
|
|
}
|
|
value, keep := vectorElemBinop(op, vl, vr)
|
|
if returnBool {
|
|
if keep {
|
|
value = 1.0
|
|
} else {
|
|
value = 0.0
|
|
}
|
|
} else if !keep {
|
|
continue
|
|
}
|
|
metric := resultMetric(ls.Metric, rs.Metric, op, matching, enh)
|
|
if returnBool {
|
|
metric = enh.DropMetricName(metric)
|
|
}
|
|
insertedSigs, exists := matchedSigs[sig]
|
|
if matching.Card == parser.CardOneToOne {
|
|
if exists {
|
|
ev.errorf("multiple matches for labels: many-to-one matching must be explicit (group_left/group_right)")
|
|
}
|
|
matchedSigs[sig] = nil // Set existence to true.
|
|
} else {
|
|
// In many-to-one matching the grouping labels have to ensure a unique metric
|
|
// for the result Vector. Check whether those labels have already been added for
|
|
// the same matching labels.
|
|
insertSig := metric.Hash()
|
|
|
|
if !exists {
|
|
insertedSigs = map[uint64]struct{}{}
|
|
matchedSigs[sig] = insertedSigs
|
|
} else if _, duplicate := insertedSigs[insertSig]; duplicate {
|
|
ev.errorf("multiple matches for labels: grouping labels must ensure unique matches")
|
|
}
|
|
insertedSigs[insertSig] = struct{}{}
|
|
}
|
|
|
|
enh.Out = append(enh.Out, Sample{
|
|
Metric: metric,
|
|
Point: Point{V: value},
|
|
})
|
|
}
|
|
return enh.Out
|
|
}
|
|
|
|
func signatureFunc(on bool, b []byte, names ...string) func(labels.Labels) string {
|
|
sort.Strings(names)
|
|
if on {
|
|
return func(lset labels.Labels) string {
|
|
return string(lset.WithLabels(names...).Bytes(b))
|
|
}
|
|
}
|
|
return func(lset labels.Labels) string {
|
|
return string(lset.WithoutLabels(names...).Bytes(b))
|
|
}
|
|
}
|
|
|
|
// resultMetric returns the metric for the given sample(s) based on the Vector
|
|
// binary operation and the matching options.
|
|
func resultMetric(lhs, rhs labels.Labels, op parser.ItemType, matching *parser.VectorMatching, enh *EvalNodeHelper) labels.Labels {
|
|
if enh.resultMetric == nil {
|
|
enh.resultMetric = make(map[string]labels.Labels, len(enh.Out))
|
|
}
|
|
|
|
if enh.lb == nil {
|
|
enh.lb = labels.NewBuilder(lhs)
|
|
} else {
|
|
enh.lb.Reset(lhs)
|
|
}
|
|
|
|
buf := bytes.NewBuffer(enh.lblResultBuf[:0])
|
|
enh.lblBuf = lhs.Bytes(enh.lblBuf)
|
|
buf.Write(enh.lblBuf)
|
|
enh.lblBuf = rhs.Bytes(enh.lblBuf)
|
|
buf.Write(enh.lblBuf)
|
|
enh.lblResultBuf = buf.Bytes()
|
|
|
|
if ret, ok := enh.resultMetric[string(enh.lblResultBuf)]; ok {
|
|
return ret
|
|
}
|
|
str := string(enh.lblResultBuf)
|
|
|
|
if shouldDropMetricName(op) {
|
|
enh.lb.Del(labels.MetricName)
|
|
}
|
|
|
|
if matching.Card == parser.CardOneToOne {
|
|
if matching.On {
|
|
Outer:
|
|
for _, l := range lhs {
|
|
for _, n := range matching.MatchingLabels {
|
|
if l.Name == n {
|
|
continue Outer
|
|
}
|
|
}
|
|
enh.lb.Del(l.Name)
|
|
}
|
|
} else {
|
|
enh.lb.Del(matching.MatchingLabels...)
|
|
}
|
|
}
|
|
for _, ln := range matching.Include {
|
|
// Included labels from the `group_x` modifier are taken from the "one"-side.
|
|
if v := rhs.Get(ln); v != "" {
|
|
enh.lb.Set(ln, v)
|
|
} else {
|
|
enh.lb.Del(ln)
|
|
}
|
|
}
|
|
|
|
ret := enh.lb.Labels()
|
|
enh.resultMetric[str] = ret
|
|
return ret
|
|
}
|
|
|
|
// VectorscalarBinop evaluates a binary operation between a Vector and a Scalar.
|
|
func (ev *evaluator) VectorscalarBinop(op parser.ItemType, lhs Vector, rhs Scalar, swap, returnBool bool, enh *EvalNodeHelper) Vector {
|
|
for _, lhsSample := range lhs {
|
|
lv, rv := lhsSample.V, rhs.V
|
|
// lhs always contains the Vector. If the original position was different
|
|
// swap for calculating the value.
|
|
if swap {
|
|
lv, rv = rv, lv
|
|
}
|
|
value, keep := vectorElemBinop(op, lv, rv)
|
|
// Catch cases where the scalar is the LHS in a scalar-vector comparison operation.
|
|
// We want to always keep the vector element value as the output value, even if it's on the RHS.
|
|
if op.IsComparisonOperator() && swap {
|
|
value = rv
|
|
}
|
|
if returnBool {
|
|
if keep {
|
|
value = 1.0
|
|
} else {
|
|
value = 0.0
|
|
}
|
|
keep = true
|
|
}
|
|
if keep {
|
|
lhsSample.V = value
|
|
if shouldDropMetricName(op) || returnBool {
|
|
lhsSample.Metric = enh.DropMetricName(lhsSample.Metric)
|
|
}
|
|
enh.Out = append(enh.Out, lhsSample)
|
|
}
|
|
}
|
|
return enh.Out
|
|
}
|
|
|
|
func dropMetricName(l labels.Labels) labels.Labels {
|
|
return labels.NewBuilder(l).Del(labels.MetricName).Labels()
|
|
}
|
|
|
|
// scalarBinop evaluates a binary operation between two Scalars.
|
|
func scalarBinop(op parser.ItemType, lhs, rhs float64) float64 {
|
|
switch op {
|
|
case parser.ADD:
|
|
return lhs + rhs
|
|
case parser.SUB:
|
|
return lhs - rhs
|
|
case parser.MUL:
|
|
return lhs * rhs
|
|
case parser.DIV:
|
|
return lhs / rhs
|
|
case parser.POW:
|
|
return math.Pow(lhs, rhs)
|
|
case parser.MOD:
|
|
return math.Mod(lhs, rhs)
|
|
case parser.EQLC:
|
|
return btos(lhs == rhs)
|
|
case parser.NEQ:
|
|
return btos(lhs != rhs)
|
|
case parser.GTR:
|
|
return btos(lhs > rhs)
|
|
case parser.LSS:
|
|
return btos(lhs < rhs)
|
|
case parser.GTE:
|
|
return btos(lhs >= rhs)
|
|
case parser.LTE:
|
|
return btos(lhs <= rhs)
|
|
}
|
|
panic(errors.Errorf("operator %q not allowed for Scalar operations", op))
|
|
}
|
|
|
|
// vectorElemBinop evaluates a binary operation between two Vector elements.
|
|
func vectorElemBinop(op parser.ItemType, lhs, rhs float64) (float64, bool) {
|
|
switch op {
|
|
case parser.ADD:
|
|
return lhs + rhs, true
|
|
case parser.SUB:
|
|
return lhs - rhs, true
|
|
case parser.MUL:
|
|
return lhs * rhs, true
|
|
case parser.DIV:
|
|
return lhs / rhs, true
|
|
case parser.POW:
|
|
return math.Pow(lhs, rhs), true
|
|
case parser.MOD:
|
|
return math.Mod(lhs, rhs), true
|
|
case parser.EQLC:
|
|
return lhs, lhs == rhs
|
|
case parser.NEQ:
|
|
return lhs, lhs != rhs
|
|
case parser.GTR:
|
|
return lhs, lhs > rhs
|
|
case parser.LSS:
|
|
return lhs, lhs < rhs
|
|
case parser.GTE:
|
|
return lhs, lhs >= rhs
|
|
case parser.LTE:
|
|
return lhs, lhs <= rhs
|
|
}
|
|
panic(errors.Errorf("operator %q not allowed for operations between Vectors", op))
|
|
}
|
|
|
|
type groupedAggregation struct {
|
|
labels labels.Labels
|
|
value float64
|
|
mean float64
|
|
groupCount int
|
|
heap vectorByValueHeap
|
|
reverseHeap vectorByReverseValueHeap
|
|
}
|
|
|
|
// aggregation evaluates an aggregation operation on a Vector.
|
|
func (ev *evaluator) aggregation(op parser.ItemType, grouping []string, without bool, param interface{}, vec Vector, enh *EvalNodeHelper) Vector {
|
|
|
|
result := map[uint64]*groupedAggregation{}
|
|
var k int64
|
|
if op == parser.TOPK || op == parser.BOTTOMK {
|
|
f := param.(float64)
|
|
if !convertibleToInt64(f) {
|
|
ev.errorf("Scalar value %v overflows int64", f)
|
|
}
|
|
k = int64(f)
|
|
if k < 1 {
|
|
return Vector{}
|
|
}
|
|
}
|
|
var q float64
|
|
if op == parser.QUANTILE {
|
|
q = param.(float64)
|
|
}
|
|
var valueLabel string
|
|
if op == parser.COUNT_VALUES {
|
|
valueLabel = param.(string)
|
|
if !model.LabelName(valueLabel).IsValid() {
|
|
ev.errorf("invalid label name %q", valueLabel)
|
|
}
|
|
if !without {
|
|
grouping = append(grouping, valueLabel)
|
|
}
|
|
}
|
|
|
|
sort.Strings(grouping)
|
|
lb := labels.NewBuilder(nil)
|
|
buf := make([]byte, 0, 1024)
|
|
for _, s := range vec {
|
|
metric := s.Metric
|
|
|
|
if op == parser.COUNT_VALUES {
|
|
lb.Reset(metric)
|
|
lb.Set(valueLabel, strconv.FormatFloat(s.V, 'f', -1, 64))
|
|
metric = lb.Labels()
|
|
}
|
|
|
|
var (
|
|
groupingKey uint64
|
|
)
|
|
if without {
|
|
groupingKey, buf = metric.HashWithoutLabels(buf, grouping...)
|
|
} else {
|
|
groupingKey, buf = metric.HashForLabels(buf, grouping...)
|
|
}
|
|
|
|
group, ok := result[groupingKey]
|
|
// Add a new group if it doesn't exist.
|
|
if !ok {
|
|
var m labels.Labels
|
|
|
|
if without {
|
|
lb.Reset(metric)
|
|
lb.Del(grouping...)
|
|
lb.Del(labels.MetricName)
|
|
m = lb.Labels()
|
|
} else {
|
|
m = make(labels.Labels, 0, len(grouping))
|
|
for _, l := range metric {
|
|
for _, n := range grouping {
|
|
if l.Name == n {
|
|
m = append(m, l)
|
|
break
|
|
}
|
|
}
|
|
}
|
|
sort.Sort(m)
|
|
}
|
|
result[groupingKey] = &groupedAggregation{
|
|
labels: m,
|
|
value: s.V,
|
|
mean: s.V,
|
|
groupCount: 1,
|
|
}
|
|
inputVecLen := int64(len(vec))
|
|
resultSize := k
|
|
if k > inputVecLen {
|
|
resultSize = inputVecLen
|
|
}
|
|
switch op {
|
|
case parser.STDVAR, parser.STDDEV:
|
|
result[groupingKey].value = 0
|
|
case parser.TOPK, parser.QUANTILE:
|
|
result[groupingKey].heap = make(vectorByValueHeap, 0, resultSize)
|
|
heap.Push(&result[groupingKey].heap, &Sample{
|
|
Point: Point{V: s.V},
|
|
Metric: s.Metric,
|
|
})
|
|
case parser.BOTTOMK:
|
|
result[groupingKey].reverseHeap = make(vectorByReverseValueHeap, 0, resultSize)
|
|
heap.Push(&result[groupingKey].reverseHeap, &Sample{
|
|
Point: Point{V: s.V},
|
|
Metric: s.Metric,
|
|
})
|
|
case parser.GROUP:
|
|
result[groupingKey].value = 1
|
|
}
|
|
continue
|
|
}
|
|
|
|
switch op {
|
|
case parser.SUM:
|
|
group.value += s.V
|
|
|
|
case parser.AVG:
|
|
group.groupCount++
|
|
if math.IsInf(group.mean, 0) {
|
|
if math.IsInf(s.V, 0) && (group.mean > 0) == (s.V > 0) {
|
|
// The `mean` and `s.V` values are `Inf` of the same sign. They
|
|
// can't be subtracted, but the value of `mean` is correct
|
|
// already.
|
|
break
|
|
}
|
|
if !math.IsInf(s.V, 0) && !math.IsNaN(s.V) {
|
|
// At this stage, the mean is an infinite. If the added
|
|
// value is neither an Inf or a Nan, we can keep that mean
|
|
// value.
|
|
// This is required because our calculation below removes
|
|
// the mean value, which would look like Inf += x - Inf and
|
|
// end up as a NaN.
|
|
break
|
|
}
|
|
}
|
|
// Divide each side of the `-` by `group.groupCount` to avoid float64 overflows.
|
|
group.mean += s.V/float64(group.groupCount) - group.mean/float64(group.groupCount)
|
|
|
|
case parser.GROUP:
|
|
// Do nothing. Required to avoid the panic in `default:` below.
|
|
|
|
case parser.MAX:
|
|
if group.value < s.V || math.IsNaN(group.value) {
|
|
group.value = s.V
|
|
}
|
|
|
|
case parser.MIN:
|
|
if group.value > s.V || math.IsNaN(group.value) {
|
|
group.value = s.V
|
|
}
|
|
|
|
case parser.COUNT, parser.COUNT_VALUES:
|
|
group.groupCount++
|
|
|
|
case parser.STDVAR, parser.STDDEV:
|
|
group.groupCount++
|
|
delta := s.V - group.mean
|
|
group.mean += delta / float64(group.groupCount)
|
|
group.value += delta * (s.V - group.mean)
|
|
|
|
case parser.TOPK:
|
|
if int64(len(group.heap)) < k || group.heap[0].V < s.V || math.IsNaN(group.heap[0].V) {
|
|
if int64(len(group.heap)) == k {
|
|
heap.Pop(&group.heap)
|
|
}
|
|
heap.Push(&group.heap, &Sample{
|
|
Point: Point{V: s.V},
|
|
Metric: s.Metric,
|
|
})
|
|
}
|
|
|
|
case parser.BOTTOMK:
|
|
if int64(len(group.reverseHeap)) < k || group.reverseHeap[0].V > s.V || math.IsNaN(group.reverseHeap[0].V) {
|
|
if int64(len(group.reverseHeap)) == k {
|
|
heap.Pop(&group.reverseHeap)
|
|
}
|
|
heap.Push(&group.reverseHeap, &Sample{
|
|
Point: Point{V: s.V},
|
|
Metric: s.Metric,
|
|
})
|
|
}
|
|
|
|
case parser.QUANTILE:
|
|
group.heap = append(group.heap, s)
|
|
|
|
default:
|
|
panic(errors.Errorf("expected aggregation operator but got %q", op))
|
|
}
|
|
}
|
|
|
|
// Construct the result Vector from the aggregated groups.
|
|
for _, aggr := range result {
|
|
switch op {
|
|
case parser.AVG:
|
|
aggr.value = aggr.mean
|
|
|
|
case parser.COUNT, parser.COUNT_VALUES:
|
|
aggr.value = float64(aggr.groupCount)
|
|
|
|
case parser.STDVAR:
|
|
aggr.value = aggr.value / float64(aggr.groupCount)
|
|
|
|
case parser.STDDEV:
|
|
aggr.value = math.Sqrt(aggr.value / float64(aggr.groupCount))
|
|
|
|
case parser.TOPK:
|
|
// The heap keeps the lowest value on top, so reverse it.
|
|
sort.Sort(sort.Reverse(aggr.heap))
|
|
for _, v := range aggr.heap {
|
|
enh.Out = append(enh.Out, Sample{
|
|
Metric: v.Metric,
|
|
Point: Point{V: v.V},
|
|
})
|
|
}
|
|
continue // Bypass default append.
|
|
|
|
case parser.BOTTOMK:
|
|
// The heap keeps the lowest value on top, so reverse it.
|
|
sort.Sort(sort.Reverse(aggr.reverseHeap))
|
|
for _, v := range aggr.reverseHeap {
|
|
enh.Out = append(enh.Out, Sample{
|
|
Metric: v.Metric,
|
|
Point: Point{V: v.V},
|
|
})
|
|
}
|
|
continue // Bypass default append.
|
|
|
|
case parser.QUANTILE:
|
|
aggr.value = quantile(q, aggr.heap)
|
|
|
|
default:
|
|
// For other aggregations, we already have the right value.
|
|
}
|
|
|
|
enh.Out = append(enh.Out, Sample{
|
|
Metric: aggr.labels,
|
|
Point: Point{V: aggr.value},
|
|
})
|
|
}
|
|
return enh.Out
|
|
}
|
|
|
|
// btos returns 1 if b is true, 0 otherwise.
|
|
func btos(b bool) float64 {
|
|
if b {
|
|
return 1
|
|
}
|
|
return 0
|
|
}
|
|
|
|
// shouldDropMetricName returns whether the metric name should be dropped in the
|
|
// result of the op operation.
|
|
func shouldDropMetricName(op parser.ItemType) bool {
|
|
switch op {
|
|
case parser.ADD, parser.SUB, parser.DIV, parser.MUL, parser.POW, parser.MOD:
|
|
return true
|
|
default:
|
|
return false
|
|
}
|
|
}
|
|
|
|
// NewOriginContext returns a new context with data about the origin attached.
|
|
func NewOriginContext(ctx context.Context, data map[string]interface{}) context.Context {
|
|
return context.WithValue(ctx, QueryOrigin{}, data)
|
|
}
|
|
|
|
func formatDate(t time.Time) string {
|
|
return t.UTC().Format("2006-01-02T15:04:05.000Z07:00")
|
|
}
|
|
|
|
// unwrapParenExpr does the AST equivalent of removing parentheses around a expression.
|
|
func unwrapParenExpr(e *parser.Expr) {
|
|
for {
|
|
if p, ok := (*e).(*parser.ParenExpr); ok {
|
|
*e = p.Expr
|
|
} else {
|
|
break
|
|
}
|
|
}
|
|
}
|