func()

in banyand/dquery/measure.go [44:178]
130 lines of code
27 McCabe index (conditional complexity)

func (p *measureQueryProcessor) Rev(ctx context.Context, message bus.Message) (resp bus.Message) {
	queryCriteria, ok := message.Data().(*measurev1.QueryRequest)
	n := time.Now()
	now := n.UnixNano()
	if !ok {
		resp = bus.NewMessage(bus.MessageID(now), common.NewError("invalid event data type"))
		return
	}
	if len(queryCriteria.Groups) > 1 {
		resp = bus.NewMessage(bus.MessageID(now), common.NewError("only support one group in the query request"))
		return
	}
	ml := p.log.Named("measure", queryCriteria.Groups[0], queryCriteria.Name)
	if e := ml.Debug(); e.Enabled() {
		e.RawJSON("req", logger.Proto(queryCriteria)).Msg("received a query event")
	}

	meta := &commonv1.Metadata{
		Name:  queryCriteria.Name,
		Group: queryCriteria.Groups[0],
	}
	ec, err := p.measureService.Measure(meta)
	if err != nil {
		resp = bus.NewMessage(bus.MessageID(now), common.NewError("fail to get execution context for measure %s: %v", meta.GetName(), err))
		return
	}

	s, err := logical_measure.BuildSchema(ec.GetSchema(), ec.GetIndexRules())
	if err != nil {
		resp = bus.NewMessage(bus.MessageID(now), common.NewError("fail to build schema for measure %s: %v", meta.GetName(), err))
		return
	}

	plan, err := logical_measure.DistributedAnalyze(queryCriteria, s)
	if err != nil {
		resp = bus.NewMessage(bus.MessageID(now), common.NewError("fail to analyze the query request for measure %s: %v", meta.GetName(), err))
		return
	}

	if e := ml.Debug(); e.Enabled() {
		e.Str("plan", plan.String()).Msg("query plan")
	}
	nodeSelectors := make(map[string][]string)
	for _, g := range queryCriteria.Groups {
		if gs, ok := p.measureService.LoadGroup(g); ok {
			if ns, exist := p.parseNodeSelector(queryCriteria.Stages, gs.GetSchema().ResourceOpts); exist {
				nodeSelectors[g] = ns
			} else if len(gs.GetSchema().ResourceOpts.Stages) > 0 {
				ml.Error().Strs("req_stages", queryCriteria.Stages).Strs("default_stages", gs.GetSchema().GetResourceOpts().GetDefaultStages()).Msg("no stage found")
				resp = bus.NewMessage(bus.MessageID(now), common.NewError("no stage found in request or default stages in resource opts"))
				return
			}
		} else {
			ml.Error().RawJSON("req", logger.Proto(queryCriteria)).Msg("group not found")
			resp = bus.NewMessage(bus.MessageID(now), common.NewError("group %s not found", g))
			return
		}
	}
	if len(queryCriteria.Stages) > 0 && len(nodeSelectors) == 0 {
		ml.Error().RawJSON("req", logger.Proto(queryCriteria)).Msg("no stage found")
		resp = bus.NewMessage(bus.MessageID(now), common.NewError("no stage found"))
		return
	}
	var tracer *query.Tracer
	var span *query.Span
	if queryCriteria.Trace {
		tracer, ctx = query.NewTracer(ctx, n.Format(time.RFC3339Nano))
		span, ctx = tracer.StartSpan(ctx, "distributed-%s", p.queryService.nodeID)
		span.Tag("plan", plan.String())
		span.Tagf("nodeSelectors", "%v", nodeSelectors)
		defer func() {
			data := resp.Data()
			switch d := data.(type) {
			case *measurev1.QueryResponse:
				d.Trace = tracer.ToProto()
			case *common.Error:
				span.Error(errors.New(d.Error()))
				resp = bus.NewMessage(bus.MessageID(now), &measurev1.QueryResponse{Trace: tracer.ToProto()})
			default:
				panic("unexpected data type")
			}
			span.Stop()
		}()
	}

	mIterator, err := plan.(executor.MeasureExecutable).Execute(executor.WithDistributedExecutionContext(ctx, &distributedContext{
		Broadcaster:   p.broadcaster,
		timeRange:     queryCriteria.TimeRange,
		nodeSelectors: nodeSelectors,
	}))
	if err != nil {
		ml.Error().Err(err).Dur("latency", time.Since(n)).RawJSON("req", logger.Proto(queryCriteria)).Msg("fail to query")
		resp = bus.NewMessage(bus.MessageID(now), common.NewError("fail to execute the query plan for measure %s: %v", meta.GetName(), err))
		return
	}
	defer func() {
		if err = mIterator.Close(); err != nil {
			ml.Error().Err(err).RawJSON("req", logger.Proto(queryCriteria)).Msg("fail to close the query plan")
			if span != nil {
				span.Error(fmt.Errorf("fail to close the query plan: %w", err))
			}
		}
	}()
	result := make([]*measurev1.DataPoint, 0)
	func() {
		var r int
		if tracer != nil {
			iterSpan, _ := tracer.StartSpan(ctx, "iterator")
			defer func() {
				iterSpan.Tag("rounds", fmt.Sprintf("%d", r))
				iterSpan.Tag("size", fmt.Sprintf("%d", len(result)))
				iterSpan.Stop()
			}()
		}
		for mIterator.Next() {
			r++
			current := mIterator.Current()
			if len(current) > 0 {
				result = append(result, current[0])
			}
		}
	}()
	qr := &measurev1.QueryResponse{DataPoints: result}
	if e := ml.Debug(); e.Enabled() {
		e.RawJSON("ret", logger.Proto(qr)).Msg("got a measure")
	}
	resp = bus.NewMessage(bus.MessageID(now), qr)
	if !queryCriteria.Trace && p.slowQuery > 0 {
		latency := time.Since(n)
		if latency > p.slowQuery {
			p.log.Warn().Dur("latency", latency).RawJSON("req", logger.Proto(queryCriteria)).Int("resp_count", len(result)).Msg("measure slow query")
		}
	}
	return
}