示例#1
0
func Filter(query *parser.SelectQuery, series *protocol.Series) (*protocol.Series, error) {
	if query.GetWhereCondition() == nil {
		return series, nil
	}

	columns := map[string]struct{}{}
	if query.GetFromClause().Type == parser.FromClauseInnerJoin {
	outer:
		for t, cs := range query.GetResultColumns() {
			for _, c := range cs {
				// if this is a wildcard select, then drop all columns and
				// just use '*'
				if c == "*" {
					columns = make(map[string]struct{}, 1)
					columns[c] = struct{}{}
					break outer
				}
				columns[t.Name+"."+c] = struct{}{}
			}
		}
	} else {
		for _, cs := range query.GetResultColumns() {
			for _, c := range cs {
				columns[c] = struct{}{}
			}
		}
	}

	points := series.Points
	series.Points = nil
	for _, point := range points {
		ok, err := matches(query.GetWhereCondition(), series.Fields, point)

		if err != nil {
			return nil, err
		}

		if ok {
			filterColumns(columns, series.Fields, point)
			series.Points = append(series.Points, point)
		}
	}

	if _, ok := columns["*"]; !ok {
		newFields := []string{}
		for _, f := range series.Fields {
			if _, ok := columns[f]; !ok {
				continue
			}

			newFields = append(newFields, f)
		}
		series.Fields = newFields
	}
	return series, nil
}
示例#2
0
文件: limiter.go 项目: Wikia/influxdb
func (self *Limiter) calculateLimitAndSlicePoints(series *protocol.Series) {
	if self.shouldLimit {
		// if the limit is 0, stop returning any points
		limit := self.limitForSeries(*series.Name)
		defer func() { self.limits[*series.Name] = limit }()
		if limit == 0 {
			series.Points = nil
			return
		}
		limit -= len(series.Points)
		if limit <= 0 {
			sliceTo := len(series.Points) + limit
			series.Points = series.Points[0:sliceTo]
			limit = 0
		}
	}
}
示例#3
0
// merges two time series making sure that the resulting series has
// the union of the two series columns and the values set
// properly. will panic if the two series don't have the same name
func MergeSeries(s1, s2 *protocol.Series) *protocol.Series {
	if s1.GetName() != s2.GetName() {
		panic("the two series don't have the same name")
	}

	// if the two series have the same columns and in the same order
	// append the points and return.
	if reflect.DeepEqual(s1.Fields, s2.Fields) {
		s1.Points = append(s1.Points, s2.Points...)
		return s1
	}

	columns := map[string]struct{}{}

	for _, cs := range [][]string{s1.Fields, s2.Fields} {
		for _, c := range cs {
			columns[c] = struct{}{}
		}
	}

	points := append(pointMaps(s1), pointMaps(s2)...)

	fieldsSlice := make([]string, 0, len(columns))
	for c := range columns {
		fieldsSlice = append(fieldsSlice, c)
	}

	resultPoints := make([]*protocol.Point, 0, len(points))
	for idx, point := range points {
		resultPoint := &protocol.Point{}
		for _, field := range fieldsSlice {
			value := point[field]
			if value == nil {
				value = &protocol.FieldValue{
					IsNull: &TRUE,
				}
			}
			resultPoint.Values = append(resultPoint.Values, value)
			if idx < len(s1.Points) {
				resultPoint.Timestamp = s1.Points[idx].Timestamp
				resultPoint.SequenceNumber = s1.Points[idx].SequenceNumber
			} else {
				resultPoint.Timestamp = s2.Points[idx-len(s1.Points)].Timestamp
				resultPoint.SequenceNumber = s2.Points[idx-len(s1.Points)].SequenceNumber
			}
		}
		resultPoints = append(resultPoints, resultPoint)
	}

	// otherwise, merge the columns
	result := &protocol.Series{
		Name:   s1.Name,
		Fields: fieldsSlice,
		Points: resultPoints,
	}

	return result
}