func (e *Engine) SeriesKeys(opt influxql.IteratorOptions) (influxql.SeriesList, error) {
seriesList := influxql.SeriesList{}
mms := tsdb.Measurements(e.index.MeasurementsByName(influxql.Sources(opt.Sources).Names()))
for _, mm := range mms {
// Determine tagsets for this measurement based on dimensions and filters.
tagSets, err := mm.TagSets(opt.Dimensions, opt.Condition)
if err != nil {
return nil, err
}
// Calculate tag sets and apply SLIMIT/SOFFSET.
tagSets = influxql.LimitTagSets(tagSets, opt.SLimit, opt.SOffset)
for _, t := range tagSets {
series := influxql.Series{
Name: mm.Name,
Tags: influxql.NewTags(t.Tags),
Aux: make([]influxql.DataType, len(opt.Aux)),
}
// Determine the aux field types.
for _, seriesKey := range t.SeriesKeys {
tags := influxql.NewTags(e.index.TagsForSeries(seriesKey))
for i, field := range opt.Aux {
typ := func() influxql.DataType {
mf := e.measurementFields[mm.Name]
if mf == nil {
return influxql.Unknown
}
f := mf.Field(field)
if f == nil {
return influxql.Unknown
}
return f.Type
}()
if typ == influxql.Unknown {
if v := tags.Value(field); v != "" {
// All tags are strings.
typ = influxql.String
}
}
if typ != influxql.Unknown {
if series.Aux[i] == influxql.Unknown || typ < series.Aux[i] {
series.Aux[i] = typ
}
}
}
}
seriesList = append(seriesList, series)
}
}
return seriesList, nil
}
// createVarRefIterator creates an iterator for a variable reference.
func (e *Engine) createVarRefIterator(opt influxql.IteratorOptions) ([]influxql.Iterator, error) {
ref, _ := opt.Expr.(*influxql.VarRef)
var itrs []influxql.Iterator
if err := func() error {
mms := tsdb.Measurements(e.index.MeasurementsByName(influxql.Sources(opt.Sources).Names()))
// Retrieve the maximum number of fields (without time).
conditionFields := make([]string, len(influxql.ExprNames(opt.Condition)))
for _, mm := range mms {
// Determine tagsets for this measurement based on dimensions and filters.
tagSets, err := mm.TagSets(opt.Dimensions, opt.Condition)
if err != nil {
return err
}
// Calculate tag sets and apply SLIMIT/SOFFSET.
tagSets = influxql.LimitTagSets(tagSets, opt.SLimit, opt.SOffset)
for _, t := range tagSets {
for i, seriesKey := range t.SeriesKeys {
fields := 0
if t.Filters[i] != nil {
// Retrieve non-time fields from this series filter and filter out tags.
for _, f := range influxql.ExprNames(t.Filters[i]) {
if mm.HasField(f) {
conditionFields[fields] = f
fields++
}
}
}
itr, err := e.createVarRefSeriesIterator(ref, mm, seriesKey, t, t.Filters[i], conditionFields[:fields], opt)
if err != nil {
return err
} else if itr == nil {
continue
}
itrs = append(itrs, itr)
}
}
}
return nil
}(); err != nil {
influxql.Iterators(itrs).Close()
return nil, err
}
return itrs, nil
}
// createVarRefIterator creates an iterator for a variable reference.
func (e *Engine) createVarRefIterator(opt influxql.IteratorOptions) ([]influxql.Iterator, error) {
ref, _ := opt.Expr.(*influxql.VarRef)
var itrs []influxql.Iterator
if err := func() error {
mms := tsdb.Measurements(e.index.MeasurementsByName(influxql.Sources(opt.Sources).Names()))
for _, mm := range mms {
// Determine tagsets for this measurement based on dimensions and filters.
tagSets, err := mm.TagSets(opt.Dimensions, opt.Condition)
if err != nil {
return err
}
// Calculate tag sets and apply SLIMIT/SOFFSET.
tagSets = influxql.LimitTagSets(tagSets, opt.SLimit, opt.SOffset)
for _, t := range tagSets {
inputs, err := e.createTagSetIterators(ref, mm, t, opt)
if err != nil {
return err
}
if len(inputs) > 0 && (opt.Limit > 0 || opt.Offset > 0) {
var itr influxql.Iterator
if opt.MergeSorted() {
itr = influxql.NewSortedMergeIterator(inputs, opt)
} else {
itr = influxql.NewMergeIterator(inputs, opt)
}
itrs = append(itrs, newLimitIterator(itr, opt))
} else {
itrs = append(itrs, inputs...)
}
}
}
return nil
}(); err != nil {
influxql.Iterators(itrs).Close()
return nil, err
}
return itrs, nil
}