Revert "move aggregate functions"
parent
3eb1804740
commit
c4092d7fc3
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@ -1,10 +1,10 @@
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package tsdb
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package influxql
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// All aggregate and query functions are defined in this file along with any intermediate data objects they need to process.
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// Query functions are represented as two discreet functions: Map and Reduce. These roughly follow the MapReduce
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// paradigm popularized by Google and Hadoop.
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//
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// When adding an aggregate function, define a mapper, a reducer, and add them in the switch statement in the MapreduceFuncs function
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// When adding an aggregate function, define a mapper, a reducer, and add them in the switch statement in the MapReduceFuncs function
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import (
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"encoding/json"
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@ -13,29 +13,27 @@ import (
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"math/rand"
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"sort"
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"strings"
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"github.com/influxdb/influxdb/influxql"
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)
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// iterator represents a forward-only iterator over a set of points.
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// These are used by the mapFunctions in this file
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type iterator interface {
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// Iterator represents a forward-only iterator over a set of points.
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// These are used by the MapFunctions in this file
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type Iterator interface {
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Next() (time int64, value interface{})
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}
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// mapFunc represents a function used for mapping over a sequential series of data.
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// MapFunc represents a function used for mapping over a sequential series of data.
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// The iterator represents a single group by interval
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type mapFunc func(iterator) interface{}
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type MapFunc func(Iterator) interface{}
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// reduceFunc represents a function used for reducing mapper output.
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type reduceFunc func([]interface{}) interface{}
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// ReduceFunc represents a function used for reducing mapper output.
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type ReduceFunc func([]interface{}) interface{}
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// UnmarshalFunc represents a function that can take bytes from a mapper from remote
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// server and marshal it into an interface the reducer can use
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type unmarshalFunc func([]byte) (interface{}, error)
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type UnmarshalFunc func([]byte) (interface{}, error)
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// initializemapFunc takes an aggregate call from the query and returns the mapFunc
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func initializeMapFunc(c *influxql.Call) (mapFunc, error) {
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// InitializeMapFunc takes an aggregate call from the query and returns the MapFunc
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func InitializeMapFunc(c *Call) (MapFunc, error) {
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// see if it's a query for raw data
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if c == nil {
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return MapRawQuery, nil
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@ -60,12 +58,12 @@ func initializeMapFunc(c *influxql.Call) (mapFunc, error) {
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if !strings.HasSuffix(c.Name, "derivative") {
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// Ensure the argument is appropriate for the aggregate function.
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switch fc := c.Args[0].(type) {
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case *influxql.VarRef:
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case *influxql.Distinct:
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case *VarRef:
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case *Distinct:
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if c.Name != "count" {
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return nil, fmt.Errorf("expected field argument in %s()", c.Name)
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}
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case *influxql.Call:
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case *Call:
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if fc.Name != "distinct" {
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return nil, fmt.Errorf("expected field argument in %s()", c.Name)
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}
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@ -77,10 +75,10 @@ func initializeMapFunc(c *influxql.Call) (mapFunc, error) {
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// Retrieve map function by name.
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switch c.Name {
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case "count":
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if _, ok := c.Args[0].(*influxql.Distinct); ok {
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if _, ok := c.Args[0].(*Distinct); ok {
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return MapCountDistinct, nil
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}
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if c, ok := c.Args[0].(*influxql.Call); ok {
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if c, ok := c.Args[0].(*Call); ok {
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if c.Name == "distinct" {
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return MapCountDistinct, nil
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}
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@ -107,7 +105,7 @@ func initializeMapFunc(c *influxql.Call) (mapFunc, error) {
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case "last":
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return MapLast, nil
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case "percentile":
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_, ok := c.Args[1].(*influxql.NumberLiteral)
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_, ok := c.Args[1].(*NumberLiteral)
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if !ok {
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return nil, fmt.Errorf("expected float argument in percentile()")
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}
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@ -115,8 +113,8 @@ func initializeMapFunc(c *influxql.Call) (mapFunc, error) {
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case "derivative", "non_negative_derivative":
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// If the arg is another aggregate e.g. derivative(mean(value)), then
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// use the map func for that nested aggregate
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if fn, ok := c.Args[0].(*influxql.Call); ok {
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return initializeMapFunc(fn)
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if fn, ok := c.Args[0].(*Call); ok {
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return InitializeMapFunc(fn)
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}
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return MapRawQuery, nil
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default:
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@ -124,15 +122,15 @@ func initializeMapFunc(c *influxql.Call) (mapFunc, error) {
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}
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}
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// InitializereduceFunc takes an aggregate call from the query and returns the reduceFunc
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func initializeReduceFunc(c *influxql.Call) (reduceFunc, error) {
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// InitializeReduceFunc takes an aggregate call from the query and returns the ReduceFunc
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func InitializeReduceFunc(c *Call) (ReduceFunc, error) {
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// Retrieve reduce function by name.
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switch c.Name {
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case "count":
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if _, ok := c.Args[0].(*influxql.Distinct); ok {
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if _, ok := c.Args[0].(*Distinct); ok {
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return ReduceCountDistinct, nil
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}
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if c, ok := c.Args[0].(*influxql.Call); ok {
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if c, ok := c.Args[0].(*Call); ok {
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if c.Name == "distinct" {
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return ReduceCountDistinct, nil
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}
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@ -163,7 +161,7 @@ func initializeReduceFunc(c *influxql.Call) (reduceFunc, error) {
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return nil, fmt.Errorf("expected float argument in percentile()")
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}
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lit, ok := c.Args[1].(*influxql.NumberLiteral)
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lit, ok := c.Args[1].(*NumberLiteral)
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if !ok {
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return nil, fmt.Errorf("expected float argument in percentile()")
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}
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@ -171,8 +169,8 @@ func initializeReduceFunc(c *influxql.Call) (reduceFunc, error) {
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case "derivative", "non_negative_derivative":
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// If the arg is another aggregate e.g. derivative(mean(value)), then
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// use the map func for that nested aggregate
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if fn, ok := c.Args[0].(*influxql.Call); ok {
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return initializeReduceFunc(fn)
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if fn, ok := c.Args[0].(*Call); ok {
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return InitializeReduceFunc(fn)
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}
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return nil, fmt.Errorf("expected function argument to %s", c.Name)
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default:
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@ -180,7 +178,7 @@ func initializeReduceFunc(c *influxql.Call) (reduceFunc, error) {
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}
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}
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func initializeUnmarshaller(c *influxql.Call) (unmarshalFunc, error) {
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func InitializeUnmarshaller(c *Call) (UnmarshalFunc, error) {
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// if c is nil it's a raw data query
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if c == nil {
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return func(b []byte) (interface{}, error) {
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@ -244,7 +242,7 @@ func initializeUnmarshaller(c *influxql.Call) (unmarshalFunc, error) {
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}
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// MapCount computes the number of values in an iterator.
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func MapCount(itr iterator) interface{} {
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func MapCount(itr Iterator) interface{} {
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n := float64(0)
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for k, _ := itr.Next(); k != -1; k, _ = itr.Next() {
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n++
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@ -329,7 +327,7 @@ func (d distinctValues) Less(i, j int) bool {
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}
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// MapDistinct computes the unique values in an iterator.
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func MapDistinct(itr iterator) interface{} {
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func MapDistinct(itr Iterator) interface{} {
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var index = make(map[interface{}]struct{})
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for time, value := itr.Next(); time != -1; time, value = itr.Next() {
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@ -383,7 +381,7 @@ func ReduceDistinct(values []interface{}) interface{} {
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}
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// MapCountDistinct computes the unique count of values in an iterator.
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func MapCountDistinct(itr iterator) interface{} {
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func MapCountDistinct(itr Iterator) interface{} {
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var index = make(map[interface{}]struct{})
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for time, value := itr.Next(); time != -1; time, value = itr.Next() {
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@ -427,7 +425,7 @@ const (
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)
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// MapSum computes the summation of values in an iterator.
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func MapSum(itr iterator) interface{} {
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func MapSum(itr Iterator) interface{} {
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n := float64(0)
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count := 0
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var resultType NumberType
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@ -482,7 +480,7 @@ func ReduceSum(values []interface{}) interface{} {
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}
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// MapMean computes the count and sum of values in an iterator to be combined by the reducer.
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func MapMean(itr iterator) interface{} {
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func MapMean(itr Iterator) interface{} {
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out := &meanMapOutput{}
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for k, v := itr.Next(); k != -1; k, v = itr.Next() {
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@ -688,7 +686,7 @@ type minMaxMapOut struct {
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}
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// MapMin collects the values to pass to the reducer
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func MapMin(itr iterator) interface{} {
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func MapMin(itr Iterator) interface{} {
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min := &minMaxMapOut{}
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pointsYielded := false
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@ -751,7 +749,7 @@ func ReduceMin(values []interface{}) interface{} {
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}
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// MapMax collects the values to pass to the reducer
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func MapMax(itr iterator) interface{} {
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func MapMax(itr Iterator) interface{} {
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max := &minMaxMapOut{}
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pointsYielded := false
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@ -819,7 +817,7 @@ type spreadMapOutput struct {
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}
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// MapSpread collects the values to pass to the reducer
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func MapSpread(itr iterator) interface{} {
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func MapSpread(itr Iterator) interface{} {
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out := &spreadMapOutput{}
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pointsYielded := false
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var val float64
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@ -880,7 +878,7 @@ func ReduceSpread(values []interface{}) interface{} {
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}
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// MapStddev collects the values to pass to the reducer
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func MapStddev(itr iterator) interface{} {
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func MapStddev(itr Iterator) interface{} {
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var values []float64
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for k, v := itr.Next(); k != -1; k, v = itr.Next() {
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@ -938,7 +936,7 @@ type firstLastMapOutput struct {
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// MapFirst collects the values to pass to the reducer
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// This function assumes time ordered input
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func MapFirst(itr iterator) interface{} {
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func MapFirst(itr Iterator) interface{} {
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k, v := itr.Next()
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if k == -1 {
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return nil
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@ -983,7 +981,7 @@ func ReduceFirst(values []interface{}) interface{} {
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}
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// MapLast collects the values to pass to the reducer
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func MapLast(itr iterator) interface{} {
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func MapLast(itr Iterator) interface{} {
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out := &firstLastMapOutput{}
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pointsYielded := false
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@ -1038,7 +1036,7 @@ func ReduceLast(values []interface{}) interface{} {
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}
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// MapEcho emits the data points for each group by interval
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func MapEcho(itr iterator) interface{} {
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func MapEcho(itr Iterator) interface{} {
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var values []interface{}
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for k, v := itr.Next(); k != -1; k, v = itr.Next() {
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@ -1048,7 +1046,7 @@ func MapEcho(itr iterator) interface{} {
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}
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// ReducePercentile computes the percentile of values for each key.
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func ReducePercentile(percentile float64) reduceFunc {
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func ReducePercentile(percentile float64) ReduceFunc {
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return func(values []interface{}) interface{} {
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var allValues []float64
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@ -1081,7 +1079,7 @@ func ReducePercentile(percentile float64) reduceFunc {
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}
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// IsNumeric returns whether a given aggregate can only be run on numeric fields.
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func IsNumeric(c *influxql.Call) bool {
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func IsNumeric(c *Call) bool {
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switch c.Name {
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case "count", "first", "last", "distinct":
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return false
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@ -1091,7 +1089,7 @@ func IsNumeric(c *influxql.Call) bool {
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}
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// MapRawQuery is for queries without aggregates
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func MapRawQuery(itr iterator) interface{} {
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func MapRawQuery(itr Iterator) interface{} {
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var values []*rawQueryMapOutput
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for k, v := itr.Next(); k != -1; k, v = itr.Next() {
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val := &rawQueryMapOutput{k, v}
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@ -1,4 +1,4 @@
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package tsdb
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package influxql
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import (
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"reflect"
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@ -6,19 +6,18 @@ import (
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"time"
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"github.com/davecgh/go-spew/spew"
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"github.com/influxdb/influxdb/influxql"
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)
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import "sort"
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type testPoint struct {
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type point struct {
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seriesKey string
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time int64
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value interface{}
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}
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type testIterator struct {
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values []testPoint
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values []point
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}
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func (t *testIterator) Next() (timestamp int64, value interface{}) {
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@ -41,17 +40,17 @@ func TestMapMeanNoValues(t *testing.T) {
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func TestMapMean(t *testing.T) {
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tests := []struct {
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input []testPoint
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input []point
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output *meanMapOutput
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}{
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{ // Single testPoint
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input: []testPoint{testPoint{"0", 1, 1.0}},
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{ // Single point
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input: []point{point{"0", 1, 1.0}},
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output: &meanMapOutput{1, 1, Float64Type},
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},
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{ // Two testPoints
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input: []testPoint{
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testPoint{"0", 1, 2.0},
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testPoint{"0", 2, 8.0},
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{ // Two points
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input: []point{
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point{"0", 1, 2.0},
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point{"0", 2, 8.0},
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},
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output: &meanMapOutput{2, 5.0, Float64Type},
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},
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@ -74,11 +73,11 @@ func TestMapMean(t *testing.T) {
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}
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func TestInitializeMapFuncPercentile(t *testing.T) {
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// No args
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c := &influxql.Call{
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c := &Call{
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Name: "percentile",
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Args: []influxql.Expr{},
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Args: []Expr{},
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}
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_, err := initializeMapFunc(c)
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_, err := InitializeMapFunc(c)
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if err == nil {
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t.Errorf("InitializeMapFunc(%v) expected error. got nil", c)
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}
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@ -88,14 +87,14 @@ func TestInitializeMapFuncPercentile(t *testing.T) {
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}
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// No percentile arg
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c = &influxql.Call{
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c = &Call{
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Name: "percentile",
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Args: []influxql.Expr{
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&influxql.VarRef{Val: "field1"},
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Args: []Expr{
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&VarRef{Val: "field1"},
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},
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}
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_, err = initializeMapFunc(c)
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_, err = InitializeMapFunc(c)
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if err == nil {
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t.Errorf("InitializeMapFunc(%v) expected error. got nil", c)
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}
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@ -109,40 +108,40 @@ func TestInitializeMapFuncDerivative(t *testing.T) {
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for _, fn := range []string{"derivative", "non_negative_derivative"} {
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// No args should fail
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c := &influxql.Call{
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c := &Call{
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Name: fn,
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Args: []influxql.Expr{},
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Args: []Expr{},
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}
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_, err := initializeMapFunc(c)
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_, err := InitializeMapFunc(c)
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if err == nil {
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t.Errorf("InitializeMapFunc(%v) expected error. got nil", c)
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}
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// Single field arg should return MapEcho
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c = &influxql.Call{
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c = &Call{
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Name: fn,
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Args: []influxql.Expr{
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&influxql.VarRef{Val: " field1"},
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&influxql.DurationLiteral{Val: time.Hour},
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Args: []Expr{
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&VarRef{Val: " field1"},
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&DurationLiteral{Val: time.Hour},
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},
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}
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_, err = initializeMapFunc(c)
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_, err = InitializeMapFunc(c)
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if err != nil {
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t.Errorf("InitializeMapFunc(%v) unexpected error. got %v", c, err)
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}
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// Nested Aggregate func should return the map func for the nested aggregate
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c = &influxql.Call{
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c = &Call{
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Name: fn,
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Args: []influxql.Expr{
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&influxql.Call{Name: "mean", Args: []influxql.Expr{&influxql.VarRef{Val: "field1"}}},
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&influxql.DurationLiteral{Val: time.Hour},
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Args: []Expr{
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&Call{Name: "mean", Args: []Expr{&VarRef{Val: "field1"}}},
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&DurationLiteral{Val: time.Hour},
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},
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}
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_, err = initializeMapFunc(c)
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_, err = InitializeMapFunc(c)
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if err != nil {
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t.Errorf("InitializeMapFunc(%v) unexpected error. got %v", c, err)
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}
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@ -151,11 +150,11 @@ func TestInitializeMapFuncDerivative(t *testing.T) {
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func TestInitializeReduceFuncPercentile(t *testing.T) {
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// No args
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c := &influxql.Call{
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c := &Call{
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Name: "percentile",
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Args: []influxql.Expr{},
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Args: []Expr{},
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}
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_, err := initializeReduceFunc(c)
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_, err := InitializeReduceFunc(c)
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if err == nil {
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t.Errorf("InitializedReduceFunc(%v) expected error. got nil", c)
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}
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@ -165,14 +164,14 @@ func TestInitializeReduceFuncPercentile(t *testing.T) {
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}
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// No percentile arg
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c = &influxql.Call{
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c = &Call{
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Name: "percentile",
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||||
Args: []influxql.Expr{
|
||||
&influxql.VarRef{Val: "field1"},
|
||||
Args: []Expr{
|
||||
&VarRef{Val: "field1"},
|
||||
},
|
||||
}
|
||||
|
||||
_, err = initializeReduceFunc(c)
|
||||
_, err = InitializeReduceFunc(c)
|
||||
if err == nil {
|
||||
t.Errorf("InitializedReduceFunc(%v) expected error. got nil", c)
|
||||
}
|
||||
|
@ -212,7 +211,7 @@ func TestMapDistinct(t *testing.T) {
|
|||
)
|
||||
|
||||
iter := &testIterator{
|
||||
values: []testPoint{
|
||||
values: []point{
|
||||
{seriesKey1, timeId1, uint64(1)},
|
||||
{seriesKey1, timeId2, uint64(1)},
|
||||
{seriesKey1, timeId3, "1"},
|
||||
|
@ -243,7 +242,7 @@ func TestMapDistinct(t *testing.T) {
|
|||
|
||||
func TestMapDistinctNil(t *testing.T) {
|
||||
iter := &testIterator{
|
||||
values: []testPoint{},
|
||||
values: []point{},
|
||||
}
|
||||
|
||||
values := MapDistinct(iter)
|
||||
|
@ -366,7 +365,7 @@ func TestMapCountDistinct(t *testing.T) {
|
|||
)
|
||||
|
||||
iter := &testIterator{
|
||||
values: []testPoint{
|
||||
values: []point{
|
||||
{seriesKey1, timeId1, uint64(1)},
|
||||
{seriesKey1, timeId2, uint64(1)},
|
||||
{seriesKey1, timeId3, "1"},
|
||||
|
@ -397,7 +396,7 @@ func TestMapCountDistinct(t *testing.T) {
|
|||
|
||||
func TestMapCountDistinctNil(t *testing.T) {
|
||||
iter := &testIterator{
|
||||
values: []testPoint{},
|
||||
values: []point{},
|
||||
}
|
||||
|
||||
values := MapCountDistinct(iter)
|
||||
|
@ -503,9 +502,9 @@ func TestGetSortedRange(t *testing.T) {
|
|||
if len(results) != len(tt.expected) {
|
||||
t.Errorf("Test %s error. Expected getSortedRange to return %v but got %v", tt.name, tt.expected, results)
|
||||
}
|
||||
for i, testPoint := range tt.expected {
|
||||
if testPoint != results[i] {
|
||||
t.Errorf("Test %s error. getSortedRange returned wrong result for index %v. Expected %v but got %v", tt.name, i, testPoint, results[i])
|
||||
for i, point := range tt.expected {
|
||||
if point != results[i] {
|
||||
t.Errorf("Test %s error. getSortedRange returned wrong result for index %v. Expected %v but got %v", tt.name, i, point, results[i])
|
||||
}
|
||||
}
|
||||
}
|
|
@ -343,9 +343,9 @@ func (e *SelectExecutor) executeAggregate(out chan *influxql.Row) {
|
|||
// the offsets within the value slices that are returned by the
|
||||
// mapper.
|
||||
aggregates := e.stmt.FunctionCalls()
|
||||
reduceFuncs := make([]reduceFunc, len(aggregates))
|
||||
reduceFuncs := make([]influxql.ReduceFunc, len(aggregates))
|
||||
for i, c := range aggregates {
|
||||
reduceFunc, err := initializeReduceFunc(c)
|
||||
reduceFunc, err := influxql.InitializeReduceFunc(c)
|
||||
if err != nil {
|
||||
out <- &influxql.Row{Err: err}
|
||||
return
|
||||
|
|
|
@ -63,7 +63,7 @@ type SelectMapper struct {
|
|||
intervalSize int64 // Size of each interval.
|
||||
numIntervals int // Maximum number of intervals to return.
|
||||
currInterval int // Current interval for which data is being fetched.
|
||||
mapFuncs []mapFunc // The mapping functions.
|
||||
mapFuncs []influxql.MapFunc // The mapping functions.
|
||||
fieldNames []string // the field name being read for mapping.
|
||||
}
|
||||
|
||||
|
@ -445,10 +445,10 @@ func (lm *SelectMapper) initializeMapFunctions() error {
|
|||
var err error
|
||||
// Set up each mapping function for this statement.
|
||||
aggregates := lm.selectStmt.FunctionCalls()
|
||||
lm.mapFuncs = make([]mapFunc, len(aggregates))
|
||||
lm.mapFuncs = make([]influxql.MapFunc, len(aggregates))
|
||||
lm.fieldNames = make([]string, len(lm.mapFuncs))
|
||||
for i, c := range aggregates {
|
||||
lm.mapFuncs[i], err = initializeMapFunc(c)
|
||||
lm.mapFuncs[i], err = influxql.InitializeMapFunc(c)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
|
|
@ -244,7 +244,7 @@ func (s *Shard) ValidateAggregateFieldsInStatement(measurementName string, stmt
|
|||
|
||||
switch lit := nested.Args[0].(type) {
|
||||
case *influxql.VarRef:
|
||||
if IsNumeric(nested) {
|
||||
if influxql.IsNumeric(nested) {
|
||||
f := m.Fields[lit.Val]
|
||||
if err := validateType(a.Name, f.Name, f.Type); err != nil {
|
||||
return err
|
||||
|
@ -254,7 +254,7 @@ func (s *Shard) ValidateAggregateFieldsInStatement(measurementName string, stmt
|
|||
if nested.Name != "count" {
|
||||
return fmt.Errorf("aggregate call didn't contain a field %s", a.String())
|
||||
}
|
||||
if IsNumeric(nested) {
|
||||
if influxql.IsNumeric(nested) {
|
||||
f := m.Fields[lit.Val]
|
||||
if err := validateType(a.Name, f.Name, f.Type); err != nil {
|
||||
return err
|
||||
|
|
Loading…
Reference in New Issue