Пример #1
0
// Replay the batch data from a single source
func (r *replayBatchSource) replayBatchFromData(data io.ReadCloser, batch BatchCollector, recTime bool) {
	defer batch.Close()
	defer data.Close()

	in := bufio.NewScanner(data)

	// Find relative times
	start := time.Time{}
	var diff time.Duration
	zero := r.clck.Zero()

	for in.Scan() {
		var b models.Batch
		err := json.Unmarshal(in.Bytes(), &b)
		if err != nil {
			r.allErrs <- err
			return
		}
		if len(b.Points) == 0 {
			// do nothing
			continue
		}
		b.Group = models.TagsToGroupID(models.SortedKeys(b.Tags), b.Tags)

		if start.IsZero() {
			start = b.Points[0].Time
			diff = zero.Sub(start)
		}
		// Add tags to all points
		if len(b.Tags) > 0 {
			for i := range b.Points {
				if len(b.Points[i].Tags) == 0 {
					b.Points[i].Tags = b.Tags
				}
			}
		}
		var lastTime time.Time
		if !recTime {
			for i := range b.Points {
				b.Points[i].Time = b.Points[i].Time.Add(diff).UTC()
			}
			lastTime = b.Points[len(b.Points)-1].Time
		} else {
			lastTime = b.Points[len(b.Points)-1].Time.Add(diff).UTC()
		}
		r.clck.Until(lastTime)
		b.TMax = b.Points[len(b.Points)-1].Time
		batch.CollectBatch(b)
	}
	r.allErrs <- in.Err()
}
Пример #2
0
func (e *booleanPointEmitter) EmitBatch() models.Batch {
	slice := e.emitter.Emit()
	b := models.Batch{
		Name:   e.name,
		TMax:   e.time,
		Group:  e.group,
		ByName: e.dimensions.ByName,
		Tags:   e.tags,
		Points: make([]models.BatchPoint, len(slice)),
	}
	var t time.Time
	for i, ap := range slice {
		if e.pointTimes {
			if ap.Time == influxql.ZeroTime {
				t = e.time
			} else {
				t = time.Unix(0, ap.Time).UTC()
			}
		} else {
			t = e.time
		}
		var tags models.Tags
		if l := len(ap.Tags.KeyValues()); l > 0 {
			// Merge batch and point specific tags
			tags = make(models.Tags, len(e.tags)+l)
			for k, v := range e.tags {
				tags[k] = v
			}
			for k, v := range ap.Tags.KeyValues() {
				tags[k] = v
			}
		} else {
			tags = e.tags
		}
		b.Points[i] = models.BatchPoint{
			Time:   t,
			Tags:   tags,
			Fields: map[string]interface{}{e.as: ap.Value},
		}
		if t.After(b.TMax) {
			b.TMax = t
		}
	}
	return b
}
Пример #3
0
// take the result of a reduce operation and convert it to a batch
func reduceResultToBatch(field string, value interface{}, tmax time.Time, usePointTimes bool) models.Batch {
	b := models.Batch{}
	b.TMax = tmax
	switch v := value.(type) {
	case tsdb.PositionPoints:
		b.Points = make([]models.BatchPoint, len(v))
		for i, pp := range v {
			if usePointTimes {
				b.Points[i].Time = time.Unix(pp.Time, 0).UTC()
			} else {
				b.Points[i].Time = tmax
			}
			b.Points[i].Fields = models.Fields{field: pp.Value}
			b.Points[i].Fields[field] = pp.Value
			b.Points[i].Tags = pp.Tags
		}
	case tsdb.PositionPoint:
		b.Points = make([]models.BatchPoint, 1)
		if usePointTimes {
			b.Points[0].Time = time.Unix(v.Time, 0).UTC()
		} else {
			b.Points[0].Time = tmax
		}
		b.Points[0].Fields = models.Fields{field: v.Value}
		b.Points[0].Fields[field] = v.Value
		b.Points[0].Tags = v.Tags
	case tsdb.InterfaceValues:
		b.Points = make([]models.BatchPoint, len(v))
		for i, p := range v {
			b.Points[i].Time = tmax
			b.Points[i].Fields = models.Fields{field: p}
		}
	default:
		b.Points = make([]models.BatchPoint, 1)
		b.Points[0].Time = tmax
		b.Points[0].Fields = models.Fields{field: v}
	}
	return b
}