Golang QuerySpec.IsSinglePointQuery方法代码示例

func (self *ShardData) getProcessor(querySpec *parser.QuerySpec, processor engine.Processor) (engine.Processor, error) {
	switch qt := querySpec.Query().Type(); qt {
	case parser.Delete, parser.DropSeries:
		return NilProcessor{}, nil
	case parser.Select:
		// continue
	default:
		panic(fmt.Errorf("Unexpected query type: %s", qt))
	}

	if querySpec.IsSinglePointQuery() {
		return engine.NewPassthroughEngine(processor, 1), nil
	}

	query := querySpec.SelectQuery()

	var err error
	// We should aggregate at the shard level
	if self.ShouldAggregateLocally(querySpec) {
		log.Debug("creating a query engine")
		processor, err = engine.NewQueryEngine(processor, query, nil)
		if err != nil {
			return nil, err
		}
		goto addFilter
	}

	// we shouldn't limit the queries if they have aggregates and aren't
	// aggregated locally, otherwise the aggregation result which happen
	// in the coordinator will get partial data and will be incorrect
	if query.HasAggregates() {
		log.Debug("creating a passthrough engine")
		processor = engine.NewPassthroughEngine(processor, 1000)
		goto addFilter
	}

	// This is an optimization so we don't send more data that we should
	// over the wire. The coordinator has its own Passthrough which does
	// the final limit.
	if l := query.Limit; l > 0 {
		log.Debug("creating a passthrough engine with limit")
		processor = engine.NewPassthroughEngineWithLimit(processor, 1000, query.Limit)
	}

addFilter:
	if query := querySpec.SelectQuery(); query != nil && query.GetFromClause().Type != parser.FromClauseInnerJoin {
		// Joins do their own filtering since we need to get all
		// points before filtering. This is due to the fact that some
		// where expressions will be difficult to compute before the
		// points are joined together, think where clause with
		// left.column = 'something' or right.column =
		// 'something_else'. We can't filter the individual series
		// separately. The filtering happens in merge.go:55

		processor = engine.NewFilteringEngine(query, processor)
	}
	return processor, nil
}

func (self *Shard) executeQueryForSeries(querySpec *parser.QuerySpec, name string, columns []string, processor engine.Processor) error {
	if querySpec.IsSinglePointQuery() {
		log.Debug("Running single query for series %s", name)
		return self.executeSinglePointQuery(querySpec, name, columns, processor)
	}
	var pi *PointIterator
	var err error
	columns, pi, err = self.getPointIteratorForSeries(querySpec, name, columns)
	if err != nil {
		return err
	}
	defer pi.Close()

	query := querySpec.SelectQuery()
	aliases := query.GetTableAliases(name)

	seriesOutgoing := &protocol.Series{Name: protocol.String(name), Fields: columns, Points: make([]*protocol.Point, 0, self.pointBatchSize)}
	for pi.Valid() {
		p := pi.Point()
		seriesOutgoing.Points = append(seriesOutgoing.Points, p)
		if len(seriesOutgoing.Points) >= self.pointBatchSize {
			ok, err := yieldToProcessor(seriesOutgoing, processor, aliases)
			if !ok || err != nil {
				log.Debug("Stopping processing.")
				if err != nil {
					log.Error("Error while processing data: %v", err)
					return err
				}
				return nil
			}
			seriesOutgoing = &protocol.Series{Name: protocol.String(name), Fields: columns, Points: make([]*protocol.Point, 0, self.pointBatchSize)}
		}

		pi.Next()
	}

	if err := pi.Error(); err != nil {
		return err
	}

	//Yield remaining data
	if ok, err := yieldToProcessor(seriesOutgoing, processor, aliases); !ok || err != nil {
		log.Debug("Stopping processing remaining points...")
		if err != nil {
			log.Error("Error while processing data: %v", err)
			return err
		}
	}

	log.Debug("Finished running query %s", query.GetQueryString())
	return nil
}