mirror of
https://github.com/prometheus/prometheus.git
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01f652cb4c
This was initially motivated by wanting to distribute the rule checker tool under `tools/rule_checker`. However, this was not possible without also distributing the LevelDB dynamic libraries because the tool transitively depended on Levigo: rule checker -> query layer -> tiered storage layer -> leveldb This change separates external storage interfaces from the implementation (tiered storage, leveldb storage, memory storage) by putting them into separate packages: - storage/metric: public, implementation-agnostic interfaces - storage/metric/tiered: tiered storage implementation, including memory and LevelDB storage. I initially also considered splitting up the implementation into separate packages for tiered storage, memory storage, and LevelDB storage, but these are currently so intertwined that it would be another major project in itself. The query layers and most other parts of Prometheus now have notion of the storage implementation anymore and just use whatever implementation they get passed in via interfaces. The rule_checker is now a static binary :) Change-Id: I793bbf631a8648ca31790e7e772ecf9c2b92f7a0
858 lines
23 KiB
Go
858 lines
23 KiB
Go
// Copyright 2013 Prometheus Team
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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 ast
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import (
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"errors"
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"fmt"
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"hash/fnv"
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"math"
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"sort"
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"time"
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"github.com/golang/glog"
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clientmodel "github.com/prometheus/client_golang/model"
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"github.com/prometheus/prometheus/stats"
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"github.com/prometheus/prometheus/storage/metric"
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)
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// ----------------------------------------------------------------------------
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// Raw data value types.
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// Vector is basically only an alias for clientmodel.Samples, but the
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// contract is that in a Vector, all Samples have the same timestamp.
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type Vector clientmodel.Samples
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// Matrix is a slice of SampleSets that implements sort.Interface and
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// has a String method.
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// BUG(julius): Pointerize this.
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type Matrix []metric.SampleSet
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type groupedAggregation struct {
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labels clientmodel.Metric
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value clientmodel.SampleValue
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groupCount int
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}
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// ----------------------------------------------------------------------------
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// Enums.
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// ExprType is an enum for the rule language expression types.
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type ExprType int
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// Possible language expression types.
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const (
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SCALAR ExprType = iota
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VECTOR
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MATRIX
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STRING
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)
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// BinOpType is an enum for binary operator types.
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type BinOpType int
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// Possible binary operator types.
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const (
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ADD BinOpType = iota
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SUB
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MUL
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DIV
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MOD
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NE
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EQ
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GT
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LT
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GE
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LE
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AND
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OR
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)
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// AggrType is an enum for aggregation types.
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type AggrType int
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// Possible aggregation types.
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const (
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SUM AggrType = iota
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AVG
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MIN
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MAX
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COUNT
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)
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// ----------------------------------------------------------------------------
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// Interfaces.
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// Nodes is a slice of any mix of node types as all node types
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// implement the Node interface.
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type Nodes []Node
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// Node is the top-level interface for any kind of nodes. Each node
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// type implements one of the ...Node interfaces, each of which embeds
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// this Node interface.
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type Node interface {
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Type() ExprType
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Children() Nodes
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NodeTreeToDotGraph() string
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String() string
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}
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// ScalarNode is a Node for scalar values.
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type ScalarNode interface {
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Node
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// Eval evaluates and returns the value of the scalar represented by this node.
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Eval(timestamp clientmodel.Timestamp, view *viewAdapter) clientmodel.SampleValue
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}
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// VectorNode is a Node for vector values.
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type VectorNode interface {
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Node
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// Eval evaluates the node recursively and returns the result
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// as a Vector (i.e. a slice of Samples all at the given
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// Timestamp).
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Eval(timestamp clientmodel.Timestamp, view *viewAdapter) Vector
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}
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// MatrixNode is a Node for matrix values.
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type MatrixNode interface {
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Node
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// Eval evaluates the node recursively and returns the result as a Matrix.
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Eval(timestamp clientmodel.Timestamp, view *viewAdapter) Matrix
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// Eval evaluates the node recursively and returns the result
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// as a Matrix that only contains the boundary values.
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EvalBoundaries(timestamp clientmodel.Timestamp, view *viewAdapter) Matrix
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}
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// StringNode is a Node for string values.
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type StringNode interface {
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Node
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// Eval evaluates and returns the value of the string
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// represented by this node.
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Eval(timestamp clientmodel.Timestamp, view *viewAdapter) string
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}
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// ----------------------------------------------------------------------------
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// ScalarNode types.
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type (
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// ScalarLiteral represents a numeric selector.
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ScalarLiteral struct {
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value clientmodel.SampleValue
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}
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// ScalarFunctionCall represents a function with a numeric
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// return type.
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ScalarFunctionCall struct {
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function *Function
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args Nodes
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}
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// ScalarArithExpr represents an arithmetic expression of
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// numeric type.
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ScalarArithExpr struct {
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opType BinOpType
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lhs ScalarNode
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rhs ScalarNode
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}
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)
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// ----------------------------------------------------------------------------
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// VectorNode types.
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type (
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// A VectorSelector represents a metric name plus labelset.
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VectorSelector struct {
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labelMatchers metric.LabelMatchers
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// Fingerprints are populated from label matchers at query analysis time.
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fingerprints clientmodel.Fingerprints
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}
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// VectorFunctionCall represents a function with vector return
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// type.
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VectorFunctionCall struct {
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function *Function
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args Nodes
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}
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// A VectorAggregation with vector return type.
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VectorAggregation struct {
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aggrType AggrType
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groupBy clientmodel.LabelNames
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keepExtraLabels bool
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vector VectorNode
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}
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// VectorArithExpr represents an arithmetic expression of vector type. At
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// least one of the two operand Nodes must be a VectorNode. The other may be
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// a VectorNode or ScalarNode. Both criteria are checked at runtime.
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VectorArithExpr struct {
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opType BinOpType
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lhs Node
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rhs Node
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}
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)
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// ----------------------------------------------------------------------------
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// MatrixNode types.
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type (
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// A MatrixSelector represents a metric name plus labelset and
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// timerange.
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MatrixSelector struct {
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labelMatchers metric.LabelMatchers
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// Fingerprints are populated from label matchers at query
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// analysis time.
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fingerprints clientmodel.Fingerprints
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interval time.Duration
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}
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)
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// ----------------------------------------------------------------------------
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// StringNode types.
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type (
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// A StringLiteral is what you think it is.
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StringLiteral struct {
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str string
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}
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// StringFunctionCall represents a function with string return
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// type.
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StringFunctionCall struct {
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function *Function
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args Nodes
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}
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)
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// ----------------------------------------------------------------------------
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// Implementations.
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// Type implements the Node interface.
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func (node ScalarLiteral) Type() ExprType { return SCALAR }
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// Type implements the Node interface.
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func (node ScalarFunctionCall) Type() ExprType { return SCALAR }
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// Type implements the Node interface.
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func (node ScalarArithExpr) Type() ExprType { return SCALAR }
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// Type implements the Node interface.
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func (node VectorSelector) Type() ExprType { return VECTOR }
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// Type implements the Node interface.
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func (node VectorFunctionCall) Type() ExprType { return VECTOR }
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// Type implements the Node interface.
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func (node VectorAggregation) Type() ExprType { return VECTOR }
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// Type implements the Node interface.
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func (node VectorArithExpr) Type() ExprType { return VECTOR }
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// Type implements the Node interface.
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func (node MatrixSelector) Type() ExprType { return MATRIX }
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// Type implements the Node interface.
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func (node StringLiteral) Type() ExprType { return STRING }
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// Type implements the Node interface.
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func (node StringFunctionCall) Type() ExprType { return STRING }
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// Children implements the Node interface and returns an empty slice.
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func (node ScalarLiteral) Children() Nodes { return Nodes{} }
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// Children implements the Node interface and returns the args of the
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// function call.
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func (node ScalarFunctionCall) Children() Nodes { return node.args }
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// Children implements the Node interface and returns the LHS and the RHS
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// of the expression.
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func (node ScalarArithExpr) Children() Nodes { return Nodes{node.lhs, node.rhs} }
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// Children implements the Node interface and returns an empty slice.
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func (node VectorSelector) Children() Nodes { return Nodes{} }
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// Children implements the Node interface and returns the args of the
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// function call.
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func (node VectorFunctionCall) Children() Nodes { return node.args }
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// Children implements the Node interface and returns the vector to be
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// aggregated.
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func (node VectorAggregation) Children() Nodes { return Nodes{node.vector} }
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// Children implements the Node interface and returns the LHS and the RHS
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// of the expression.
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func (node VectorArithExpr) Children() Nodes { return Nodes{node.lhs, node.rhs} }
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// Children implements the Node interface and returns an empty slice.
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func (node MatrixSelector) Children() Nodes { return Nodes{} }
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// Children implements the Node interface and returns an empty slice.
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func (node StringLiteral) Children() Nodes { return Nodes{} }
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// Children implements the Node interface and returns the args of the
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// function call.
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func (node StringFunctionCall) Children() Nodes { return node.args }
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// Eval implements the ScalarNode interface and returns the selector
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// value.
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func (node *ScalarLiteral) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) clientmodel.SampleValue {
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return node.value
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}
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// Eval implements the ScalarNode interface and returns the result of
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// the expression.
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func (node *ScalarArithExpr) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) clientmodel.SampleValue {
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lhs := node.lhs.Eval(timestamp, view)
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rhs := node.rhs.Eval(timestamp, view)
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return evalScalarBinop(node.opType, lhs, rhs)
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}
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// Eval implements the ScalarNode interface and returns the result of
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// the function call.
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func (node *ScalarFunctionCall) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) clientmodel.SampleValue {
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return node.function.callFn(timestamp, view, node.args).(clientmodel.SampleValue)
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}
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func (node *VectorAggregation) labelsToGroupingKey(labels clientmodel.Metric) uint64 {
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summer := fnv.New64a()
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for _, label := range node.groupBy {
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fmt.Fprint(summer, labels[label])
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}
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return summer.Sum64()
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}
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func labelsToKey(labels clientmodel.Metric) uint64 {
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pairs := metric.LabelPairs{}
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for label, value := range labels {
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pairs = append(pairs, &metric.LabelPair{
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Name: label,
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Value: value,
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})
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}
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sort.Sort(pairs)
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summer := fnv.New64a()
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for _, pair := range pairs {
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fmt.Fprint(summer, pair.Name, pair.Value)
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}
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return summer.Sum64()
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}
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// EvalVectorInstant evaluates a VectorNode with an instant query.
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func EvalVectorInstant(node VectorNode, timestamp clientmodel.Timestamp, storage metric.PreloadingPersistence, queryStats *stats.TimerGroup) (vector Vector, err error) {
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viewAdapter, err := viewAdapterForInstantQuery(node, timestamp, storage, queryStats)
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if err != nil {
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return
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}
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vector = node.Eval(timestamp, viewAdapter)
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return
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}
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// EvalVectorRange evaluates a VectorNode with a range query.
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func EvalVectorRange(node VectorNode, start clientmodel.Timestamp, end clientmodel.Timestamp, interval time.Duration, storage metric.PreloadingPersistence, queryStats *stats.TimerGroup) (Matrix, error) {
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// Explicitly initialize to an empty matrix since a nil Matrix encodes to
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// null in JSON.
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matrix := Matrix{}
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viewTimer := queryStats.GetTimer(stats.TotalViewBuildingTime).Start()
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viewAdapter, err := viewAdapterForRangeQuery(node, start, end, interval, storage, queryStats)
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viewTimer.Stop()
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if err != nil {
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return nil, err
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}
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// TODO implement watchdog timer for long-running queries.
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evalTimer := queryStats.GetTimer(stats.InnerEvalTime).Start()
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sampleSets := map[uint64]*metric.SampleSet{}
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for t := start; t.Before(end); t = t.Add(interval) {
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vector := node.Eval(t, viewAdapter)
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for _, sample := range vector {
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samplePair := metric.SamplePair{
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Value: sample.Value,
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Timestamp: sample.Timestamp,
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}
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groupingKey := labelsToKey(sample.Metric)
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if sampleSets[groupingKey] == nil {
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sampleSets[groupingKey] = &metric.SampleSet{
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Metric: sample.Metric,
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Values: metric.Values{samplePair},
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}
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} else {
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sampleSets[groupingKey].Values = append(sampleSets[groupingKey].Values, samplePair)
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}
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}
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}
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evalTimer.Stop()
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appendTimer := queryStats.GetTimer(stats.ResultAppendTime).Start()
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for _, sampleSet := range sampleSets {
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matrix = append(matrix, *sampleSet)
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}
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appendTimer.Stop()
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return matrix, nil
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}
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func labelIntersection(metric1, metric2 clientmodel.Metric) clientmodel.Metric {
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intersection := clientmodel.Metric{}
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for label, value := range metric1 {
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if metric2[label] == value {
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intersection[label] = value
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}
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}
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return intersection
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}
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func (node *VectorAggregation) groupedAggregationsToVector(aggregations map[uint64]*groupedAggregation, timestamp clientmodel.Timestamp) Vector {
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vector := Vector{}
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for _, aggregation := range aggregations {
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switch node.aggrType {
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case AVG:
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aggregation.value = aggregation.value / clientmodel.SampleValue(aggregation.groupCount)
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case COUNT:
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aggregation.value = clientmodel.SampleValue(aggregation.groupCount)
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default:
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// For other aggregations, we already have the right value.
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}
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sample := &clientmodel.Sample{
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Metric: aggregation.labels,
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Value: aggregation.value,
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Timestamp: timestamp,
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}
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vector = append(vector, sample)
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}
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return vector
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}
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// Eval implements the VectorNode interface and returns the aggregated
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// Vector.
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func (node *VectorAggregation) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) Vector {
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vector := node.vector.Eval(timestamp, view)
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result := map[uint64]*groupedAggregation{}
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for _, sample := range vector {
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groupingKey := node.labelsToGroupingKey(sample.Metric)
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if groupedResult, ok := result[groupingKey]; ok {
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if node.keepExtraLabels {
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groupedResult.labels = labelIntersection(groupedResult.labels, sample.Metric)
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}
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switch node.aggrType {
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case SUM:
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groupedResult.value += sample.Value
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case AVG:
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groupedResult.value += sample.Value
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groupedResult.groupCount++
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case MAX:
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if groupedResult.value < sample.Value {
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groupedResult.value = sample.Value
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}
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case MIN:
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if groupedResult.value > sample.Value {
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groupedResult.value = sample.Value
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}
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case COUNT:
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groupedResult.groupCount++
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default:
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panic("Unknown aggregation type")
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}
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} else {
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m := clientmodel.Metric{}
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if node.keepExtraLabels {
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m = sample.Metric
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} else {
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m[clientmodel.MetricNameLabel] = sample.Metric[clientmodel.MetricNameLabel]
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for _, l := range node.groupBy {
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if v, ok := sample.Metric[l]; ok {
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m[l] = v
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}
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}
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}
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result[groupingKey] = &groupedAggregation{
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labels: m,
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value: sample.Value,
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groupCount: 1,
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}
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}
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}
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return node.groupedAggregationsToVector(result, timestamp)
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}
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// Eval implements the VectorNode interface and returns the value of
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// the selector.
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func (node *VectorSelector) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) Vector {
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values, err := view.GetValueAtTime(node.fingerprints, timestamp)
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if err != nil {
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glog.Error("Unable to get vector values: ", err)
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return Vector{}
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}
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return values
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}
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// Eval implements the VectorNode interface and returns the result of
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// the function call.
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func (node *VectorFunctionCall) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) Vector {
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return node.function.callFn(timestamp, view, node.args).(Vector)
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}
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func evalScalarBinop(opType BinOpType,
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lhs clientmodel.SampleValue,
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rhs clientmodel.SampleValue) clientmodel.SampleValue {
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switch opType {
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case ADD:
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return lhs + rhs
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case SUB:
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return lhs - rhs
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case MUL:
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return lhs * rhs
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case DIV:
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if rhs != 0 {
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return lhs / rhs
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}
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return clientmodel.SampleValue(math.Inf(int(rhs)))
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case MOD:
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if rhs != 0 {
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return clientmodel.SampleValue(int(lhs) % int(rhs))
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}
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return clientmodel.SampleValue(math.Inf(int(rhs)))
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case EQ:
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if lhs == rhs {
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return 1
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}
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return 0
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case NE:
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if lhs != rhs {
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return 1
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}
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return 0
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case GT:
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if lhs > rhs {
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return 1
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}
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return 0
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case LT:
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if lhs < rhs {
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return 1
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}
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return 0
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case GE:
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if lhs >= rhs {
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return 1
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}
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return 0
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case LE:
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if lhs <= rhs {
|
|
return 1
|
|
}
|
|
return 0
|
|
}
|
|
panic("Not all enum values enumerated in switch")
|
|
}
|
|
|
|
func evalVectorBinop(opType BinOpType,
|
|
lhs clientmodel.SampleValue,
|
|
rhs clientmodel.SampleValue) (clientmodel.SampleValue, bool) {
|
|
switch opType {
|
|
case ADD:
|
|
return lhs + rhs, true
|
|
case SUB:
|
|
return lhs - rhs, true
|
|
case MUL:
|
|
return lhs * rhs, true
|
|
case DIV:
|
|
if rhs != 0 {
|
|
return lhs / rhs, true
|
|
}
|
|
return clientmodel.SampleValue(math.Inf(int(rhs))), true
|
|
case MOD:
|
|
if rhs != 0 {
|
|
return clientmodel.SampleValue(int(lhs) % int(rhs)), true
|
|
}
|
|
return clientmodel.SampleValue(math.Inf(int(rhs))), true
|
|
case EQ:
|
|
if lhs == rhs {
|
|
return lhs, true
|
|
}
|
|
return 0, false
|
|
case NE:
|
|
if lhs != rhs {
|
|
return lhs, true
|
|
}
|
|
return 0, false
|
|
case GT:
|
|
if lhs > rhs {
|
|
return lhs, true
|
|
}
|
|
return 0, false
|
|
case LT:
|
|
if lhs < rhs {
|
|
return lhs, true
|
|
}
|
|
return 0, false
|
|
case GE:
|
|
if lhs >= rhs {
|
|
return lhs, true
|
|
}
|
|
return 0, false
|
|
case LE:
|
|
if lhs <= rhs {
|
|
return lhs, true
|
|
}
|
|
return 0, false
|
|
case AND:
|
|
return lhs, true
|
|
case OR:
|
|
return lhs, true // TODO: implement OR
|
|
}
|
|
panic("Not all enum values enumerated in switch")
|
|
}
|
|
|
|
func labelsEqual(labels1, labels2 clientmodel.Metric) bool {
|
|
if len(labels1) != len(labels2) {
|
|
return false
|
|
}
|
|
for label, value := range labels1 {
|
|
if labels2[label] != value && label != clientmodel.MetricNameLabel {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
// Eval implements the VectorNode interface and returns the result of
|
|
// the expression.
|
|
func (node *VectorArithExpr) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) Vector {
|
|
result := Vector{}
|
|
if node.lhs.Type() == SCALAR && node.rhs.Type() == VECTOR {
|
|
lhs := node.lhs.(ScalarNode).Eval(timestamp, view)
|
|
rhs := node.rhs.(VectorNode).Eval(timestamp, view)
|
|
for _, rhsSample := range rhs {
|
|
value, keep := evalVectorBinop(node.opType, lhs, rhsSample.Value)
|
|
if keep {
|
|
rhsSample.Value = value
|
|
result = append(result, rhsSample)
|
|
}
|
|
}
|
|
return result
|
|
} else if node.lhs.Type() == VECTOR && node.rhs.Type() == SCALAR {
|
|
lhs := node.lhs.(VectorNode).Eval(timestamp, view)
|
|
rhs := node.rhs.(ScalarNode).Eval(timestamp, view)
|
|
for _, lhsSample := range lhs {
|
|
value, keep := evalVectorBinop(node.opType, lhsSample.Value, rhs)
|
|
if keep {
|
|
lhsSample.Value = value
|
|
result = append(result, lhsSample)
|
|
}
|
|
}
|
|
return result
|
|
} else if node.lhs.Type() == VECTOR && node.rhs.Type() == VECTOR {
|
|
lhs := node.lhs.(VectorNode).Eval(timestamp, view)
|
|
rhs := node.rhs.(VectorNode).Eval(timestamp, view)
|
|
for _, lhsSample := range lhs {
|
|
for _, rhsSample := range rhs {
|
|
if labelsEqual(lhsSample.Metric, rhsSample.Metric) {
|
|
value, keep := evalVectorBinop(node.opType, lhsSample.Value, rhsSample.Value)
|
|
if keep {
|
|
lhsSample.Value = value
|
|
result = append(result, lhsSample)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return result
|
|
}
|
|
panic("Invalid vector arithmetic expression operands")
|
|
}
|
|
|
|
// Eval implements the MatrixNode interface and returns the value of
|
|
// the selector.
|
|
func (node *MatrixSelector) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) Matrix {
|
|
interval := &metric.Interval{
|
|
OldestInclusive: timestamp.Add(-node.interval),
|
|
NewestInclusive: timestamp,
|
|
}
|
|
values, err := view.GetRangeValues(node.fingerprints, interval)
|
|
if err != nil {
|
|
glog.Error("Unable to get values for vector interval: ", err)
|
|
return Matrix{}
|
|
}
|
|
return values
|
|
}
|
|
|
|
// EvalBoundaries implements the MatrixNode interface and returns the
|
|
// boundary values of the selector.
|
|
func (node *MatrixSelector) EvalBoundaries(timestamp clientmodel.Timestamp, view *viewAdapter) Matrix {
|
|
interval := &metric.Interval{
|
|
OldestInclusive: timestamp.Add(-node.interval),
|
|
NewestInclusive: timestamp,
|
|
}
|
|
values, err := view.GetBoundaryValues(node.fingerprints, interval)
|
|
if err != nil {
|
|
glog.Error("Unable to get boundary values for vector interval: ", err)
|
|
return Matrix{}
|
|
}
|
|
return values
|
|
}
|
|
|
|
// Len implements sort.Interface.
|
|
func (matrix Matrix) Len() int {
|
|
return len(matrix)
|
|
}
|
|
|
|
// Less implements sort.Interface.
|
|
func (matrix Matrix) Less(i, j int) bool {
|
|
return matrix[i].Metric.String() < matrix[j].Metric.String()
|
|
}
|
|
|
|
// Swap implements sort.Interface.
|
|
func (matrix Matrix) Swap(i, j int) {
|
|
matrix[i], matrix[j] = matrix[j], matrix[i]
|
|
}
|
|
|
|
// Eval implements the StringNode interface and returns the value of
|
|
// the selector.
|
|
func (node *StringLiteral) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) string {
|
|
return node.str
|
|
}
|
|
|
|
// Eval implements the StringNode interface and returns the result of
|
|
// the function call.
|
|
func (node *StringFunctionCall) Eval(timestamp clientmodel.Timestamp, view *viewAdapter) string {
|
|
return node.function.callFn(timestamp, view, node.args).(string)
|
|
}
|
|
|
|
// ----------------------------------------------------------------------------
|
|
// Constructors.
|
|
|
|
// NewScalarLiteral returns a ScalarLiteral with the given value.
|
|
func NewScalarLiteral(value clientmodel.SampleValue) *ScalarLiteral {
|
|
return &ScalarLiteral{
|
|
value: value,
|
|
}
|
|
}
|
|
|
|
// NewVectorSelector returns a (not yet evaluated) VectorSelector with
|
|
// the given LabelSet.
|
|
func NewVectorSelector(m metric.LabelMatchers) *VectorSelector {
|
|
return &VectorSelector{
|
|
labelMatchers: m,
|
|
}
|
|
}
|
|
|
|
// NewVectorAggregation returns a (not yet evaluated)
|
|
// VectorAggregation, aggregating the given VectorNode using the given
|
|
// AggrType, grouping by the given LabelNames.
|
|
func NewVectorAggregation(aggrType AggrType, vector VectorNode, groupBy clientmodel.LabelNames, keepExtraLabels bool) *VectorAggregation {
|
|
return &VectorAggregation{
|
|
aggrType: aggrType,
|
|
groupBy: groupBy,
|
|
keepExtraLabels: keepExtraLabels,
|
|
vector: vector,
|
|
}
|
|
}
|
|
|
|
// NewFunctionCall returns a (not yet evaluated) function call node
|
|
// (of type ScalarFunctionCall, VectorFunctionCall, or
|
|
// StringFunctionCall).
|
|
func NewFunctionCall(function *Function, args Nodes) (Node, error) {
|
|
if err := function.CheckArgTypes(args); err != nil {
|
|
return nil, err
|
|
}
|
|
switch function.returnType {
|
|
case SCALAR:
|
|
return &ScalarFunctionCall{
|
|
function: function,
|
|
args: args,
|
|
}, nil
|
|
case VECTOR:
|
|
return &VectorFunctionCall{
|
|
function: function,
|
|
args: args,
|
|
}, nil
|
|
case STRING:
|
|
return &StringFunctionCall{
|
|
function: function,
|
|
args: args,
|
|
}, nil
|
|
}
|
|
panic("Function with invalid return type")
|
|
}
|
|
|
|
func nodesHaveTypes(nodes Nodes, exprTypes []ExprType) bool {
|
|
for _, node := range nodes {
|
|
correctType := false
|
|
for _, exprType := range exprTypes {
|
|
if node.Type() == exprType {
|
|
correctType = true
|
|
}
|
|
}
|
|
if !correctType {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
// NewArithExpr returns a (not yet evaluated) expression node (of type
|
|
// VectorArithExpr or ScalarArithExpr).
|
|
func NewArithExpr(opType BinOpType, lhs Node, rhs Node) (Node, error) {
|
|
if !nodesHaveTypes(Nodes{lhs, rhs}, []ExprType{SCALAR, VECTOR}) {
|
|
return nil, errors.New("binary operands must be of vector or scalar type")
|
|
}
|
|
|
|
if opType == AND || opType == OR {
|
|
if lhs.Type() == SCALAR || rhs.Type() == SCALAR {
|
|
return nil, errors.New("AND and OR operators may only be used between vectors")
|
|
}
|
|
}
|
|
|
|
if lhs.Type() == VECTOR || rhs.Type() == VECTOR {
|
|
return &VectorArithExpr{
|
|
opType: opType,
|
|
lhs: lhs,
|
|
rhs: rhs,
|
|
}, nil
|
|
}
|
|
|
|
return &ScalarArithExpr{
|
|
opType: opType,
|
|
lhs: lhs.(ScalarNode),
|
|
rhs: rhs.(ScalarNode),
|
|
}, nil
|
|
}
|
|
|
|
// NewMatrixSelector returns a (not yet evaluated) MatrixSelector with
|
|
// the given VectorSelector and Duration.
|
|
func NewMatrixSelector(vector *VectorSelector, interval time.Duration) *MatrixSelector {
|
|
return &MatrixSelector{
|
|
labelMatchers: vector.labelMatchers,
|
|
interval: interval,
|
|
}
|
|
}
|
|
|
|
// NewStringLiteral returns a StringLiteral with the given string as
|
|
// value.
|
|
func NewStringLiteral(str string) *StringLiteral {
|
|
return &StringLiteral{
|
|
str: str,
|
|
}
|
|
}
|