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influxql.go
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influxql.go
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package pipeline
import "github.com/influxdata/influxdb/influxql"
// tmpl -- go get github.com/benbjohnson/tmpl
//go:generate tmpl -data=@../tmpldata influxql.gen.go.tmpl
// An InfluxQLNode performs the available function from the InfluxQL language.
// These function can be performed on a stream or batch edge.
// The resulting edge is dependent on the function.
// For a stream edge all points with the same time are accumulated into the function.
// For a batch edge all points in the batch are accumulated into the function.
//
//
// Example:
// stream
// |window()
// .period(10s)
// .every(10s)
// // Sum the values for each 10s window of data.
// |sum('value')
//
//
// Note: Derivative has its own implementation as a DerivativeNode instead of as part of the
// InfluxQL functions.
type InfluxQLNode struct {
chainnode
// tick:ignore
Method string
// tick:ignore
Field string
// The name of the field, defaults to the name of
// function used (i.e. .mean -> 'mean')
As string
// tick:ignore
ReduceCreater ReduceCreater
// tick:ignore
PointTimes bool `tick:"UsePointTimes"`
}
func newInfluxQLNode(method, field string, wants, provides EdgeType, reducer ReduceCreater) *InfluxQLNode {
return &InfluxQLNode{
chainnode: newBasicChainNode(method, wants, provides),
Method: method,
Field: field,
As: method,
ReduceCreater: reducer,
}
}
// Use the time of the selected point instead of the time of the batch.
//
// Only applies to selector functions like first, last, top, bottom, etc.
// Aggregation functions always use the batch time.
// tick:property
func (n *InfluxQLNode) UsePointTimes() *InfluxQLNode {
n.PointTimes = true
return n
}
//------------------------------------
// Aggregation Functions
//
// Count the number of points.
func (n *chainnode) Count(field string) *InfluxQLNode {
i := newInfluxQLNode("count", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatIntegerReducer: func() (influxql.FloatPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewFloatFuncIntegerReducer(influxql.FloatCountReduce)
return fn, fn
},
CreateIntegerReducer: func() (influxql.IntegerPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerFuncReducer(influxql.IntegerCountReduce)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Produce batch of only the distinct points.
func (n *chainnode) Distinct(field string) *InfluxQLNode {
i := newInfluxQLNode("distinct", field, n.Provides(), BatchEdge, ReduceCreater{
CreateFloatBulkReducer: func() (FloatBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatSliceFuncReducer(influxql.FloatDistinctReduceSlice)
return fn, fn
},
CreateIntegerBulkReducer: func() (IntegerBulkPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerSliceFuncReducer(influxql.IntegerDistinctReduceSlice)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Compute the mean of the data.
func (n *chainnode) Mean(field string) *InfluxQLNode {
i := newInfluxQLNode("mean", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatReducer: func() (influxql.FloatPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatMeanReducer()
return fn, fn
},
CreateIntegerFloatReducer: func() (influxql.IntegerPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewIntegerMeanReducer()
return fn, fn
},
})
n.linkChild(i)
return i
}
// Compute the median of the data. Note, this method is not a selector,
// if you want the median point use .percentile(field, 50.0).
func (n *chainnode) Median(field string) *InfluxQLNode {
i := newInfluxQLNode("median", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatBulkReducer: func() (FloatBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatSliceFuncReducer(influxql.FloatMedianReduceSlice)
return fn, fn
},
CreateIntegerBulkFloatReducer: func() (IntegerBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewIntegerSliceFuncFloatReducer(influxql.IntegerMedianReduceSlice)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Compute the difference between min and max points.
func (n *chainnode) Spread(field string) *InfluxQLNode {
i := newInfluxQLNode("spread", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatBulkReducer: func() (FloatBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatSliceFuncReducer(influxql.FloatSpreadReduceSlice)
return fn, fn
},
CreateIntegerBulkReducer: func() (IntegerBulkPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerSliceFuncReducer(influxql.IntegerSpreadReduceSlice)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Compute the sum of all values.
func (n *chainnode) Sum(field string) *InfluxQLNode {
i := newInfluxQLNode("sum", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatReducer: func() (influxql.FloatPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatFuncReducer(influxql.FloatSumReduce)
return fn, fn
},
CreateIntegerReducer: func() (influxql.IntegerPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerFuncReducer(influxql.IntegerSumReduce)
return fn, fn
},
})
n.linkChild(i)
return i
}
//------------------------------------
// Selection Functions
//
// Select the first point.
func (n *chainnode) First(field string) *InfluxQLNode {
i := newInfluxQLNode("first", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatReducer: func() (influxql.FloatPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatFuncReducer(influxql.FloatFirstReduce)
return fn, fn
},
CreateIntegerReducer: func() (influxql.IntegerPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerFuncReducer(influxql.IntegerFirstReduce)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Select the last point.
func (n *chainnode) Last(field string) *InfluxQLNode {
i := newInfluxQLNode("last", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatReducer: func() (influxql.FloatPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatFuncReducer(influxql.FloatLastReduce)
return fn, fn
},
CreateIntegerReducer: func() (influxql.IntegerPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerFuncReducer(influxql.IntegerLastReduce)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Select the minimum point.
func (n *chainnode) Min(field string) *InfluxQLNode {
i := newInfluxQLNode("min", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatReducer: func() (influxql.FloatPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatFuncReducer(influxql.FloatMinReduce)
return fn, fn
},
CreateIntegerReducer: func() (influxql.IntegerPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerFuncReducer(influxql.IntegerMinReduce)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Select the maximum point.
func (n *chainnode) Max(field string) *InfluxQLNode {
i := newInfluxQLNode("max", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatReducer: func() (influxql.FloatPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatFuncReducer(influxql.FloatMaxReduce)
return fn, fn
},
CreateIntegerReducer: func() (influxql.IntegerPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerFuncReducer(influxql.IntegerMaxReduce)
return fn, fn
},
})
n.linkChild(i)
return i
}
// Select a point at the given percentile. This is a selector function, no interpolation between points is performed.
func (n *chainnode) Percentile(field string, percentile float64) *InfluxQLNode {
i := newInfluxQLNode("percentile", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatBulkReducer: func() (FloatBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatSliceFuncReducer(influxql.NewFloatPercentileReduceSliceFunc(percentile))
return fn, fn
},
CreateIntegerBulkReducer: func() (IntegerBulkPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerSliceFuncReducer(influxql.NewIntegerPercentileReduceSliceFunc(percentile))
return fn, fn
},
})
n.linkChild(i)
return i
}
//tick:ignore
type TopBottomCallInfo struct {
FieldsAndTags []string
}
// Select the top `num` points for `field` and sort by any extra tags or fields.
func (n *chainnode) Top(num int64, field string, fieldsAndTags ...string) *InfluxQLNode {
tags := make([]int, len(fieldsAndTags))
for i := range fieldsAndTags {
tags[i] = i
}
i := newInfluxQLNode("top", field, n.Provides(), BatchEdge, ReduceCreater{
CreateFloatBulkReducer: func() (FloatBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatSliceFuncReducer(influxql.NewFloatTopReduceSliceFunc(
int(num),
tags,
influxql.Interval{},
))
return fn, fn
},
CreateIntegerBulkReducer: func() (IntegerBulkPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerSliceFuncReducer(influxql.NewIntegerTopReduceSliceFunc(
int(num),
tags,
influxql.Interval{},
))
return fn, fn
},
TopBottomCallInfo: &TopBottomCallInfo{
FieldsAndTags: fieldsAndTags,
},
})
n.linkChild(i)
return i
}
// Select the bottom `num` points for `field` and sort by any extra tags or fields.
func (n *chainnode) Bottom(num int64, field string, fieldsAndTags ...string) *InfluxQLNode {
tags := make([]int, len(fieldsAndTags))
for i := range fieldsAndTags {
tags[i] = i
}
i := newInfluxQLNode("bottom", field, n.Provides(), BatchEdge, ReduceCreater{
CreateFloatBulkReducer: func() (FloatBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatSliceFuncReducer(influxql.NewFloatBottomReduceSliceFunc(
int(num),
tags,
influxql.Interval{},
))
return fn, fn
},
CreateIntegerBulkReducer: func() (IntegerBulkPointAggregator, influxql.IntegerPointEmitter) {
fn := influxql.NewIntegerSliceFuncReducer(influxql.NewIntegerBottomReduceSliceFunc(
int(num),
tags,
influxql.Interval{},
))
return fn, fn
},
TopBottomCallInfo: &TopBottomCallInfo{
FieldsAndTags: fieldsAndTags,
},
})
n.linkChild(i)
return i
}
//------------------------------------
// Transformation Functions
//
// Compute the standard deviation.
func (n *chainnode) Stddev(field string) *InfluxQLNode {
i := newInfluxQLNode("stddev", field, n.Provides(), StreamEdge, ReduceCreater{
CreateFloatBulkReducer: func() (FloatBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewFloatSliceFuncReducer(influxql.FloatStddevReduceSlice)
return fn, fn
},
CreateIntegerBulkFloatReducer: func() (IntegerBulkPointAggregator, influxql.FloatPointEmitter) {
fn := influxql.NewIntegerSliceFuncFloatReducer(influxql.IntegerStddevReduceSlice)
return fn, fn
},
})
n.linkChild(i)
return i
}