go.uber.org/yarpc@v1.72.1/internal/observability/graph.go

// Copyright (c) 2022 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.

package observability

import (
	"context"
	"sync"
	"time"

	"go.uber.org/net/metrics"
	"go.uber.org/net/metrics/bucket"
	"go.uber.org/yarpc/api/transport"
	"go.uber.org/yarpc/internal/digester"
	"go.uber.org/zap"
	"go.uber.org/zap/zapcore"
)

var (
	_timeNow          = time.Now // for tests
	_defaultGraphSize = 128
	// Latency buckets for histograms. At some point, we may want to make these
	// configurable.
	_bucketsMs = bucket.NewRPCLatency()
	// Bytes buckets for payload size histograms, containing exponential buckets
	// in range of 0B, 1B, 2B, ... 256MB.
	_bucketsBytes = append([]int64{0}, bucket.NewExponential(1, 2, 29)...)
)

type directionName string

const (
	_directionOutbound directionName = "outbound"
	_directionInbound  directionName = "inbound"

	// _droppedTagValue represents the value of a metric tag when the tag
	// is being blocked.
	_droppedTagValue = "__dropped__"

	_source          = "source"
	_dest            = "dest"
	_transport       = "transport"
	_procedure       = "procedure"
	_encoding        = "encoding"
	_routingKey      = "routing_key"
	_routingDelegate = "routing_delegate"
	_direction       = "direction"
	_rpcType         = "rpc_type"
)

// A graph represents a collection of services: each service is a node, and we
// collect stats for each caller-callee-transport-encoding-procedure-rk-sk-rd edge.
type graph struct {
	meter            *metrics.Scope
	logger           *zap.Logger
	extract          ContextExtractor
	ignoreMetricsTag *metricsTagIgnore

	edgesMu sync.RWMutex
	edges   map[string]*edge

	inboundLevels, outboundLevels levels
}

// if the field is set to true, the metrics tag won't be emitted
// it is a more performant way than have a map (field lookup versus map lookup)
type metricsTagIgnore struct {
	source          bool
	dest            bool
	transport       bool
	procedure       bool
	encoding        bool
	routingKey      bool
	routingDelegate bool
	direction       bool
	rpcType         bool
}

func newMetricsTagIgnore(metricTagsIgnore []string) *metricsTagIgnore {
	r := new(metricsTagIgnore)
	for _, m := range metricTagsIgnore {
		switch m {
		case _source:
			r.source = true
		case _dest:
			r.dest = true
		case _transport:
			r.transport = true
		case _procedure:
			r.procedure = true
		case _encoding:
			r.encoding = true
		case _routingKey:
			r.routingKey = true
		case _routingDelegate:
			r.routingDelegate = true
		case _direction:
			r.direction = true
		case _rpcType:
			r.rpcType = true
		}
	}
	return r
}

func (m *metricsTagIgnore) tags(req *transport.Request, direction string, rpcType transport.Type) metrics.Tags {
	tags := metrics.Tags{
		_source:          req.Caller,
		_dest:            req.Service,
		_transport:       unknownIfEmpty(req.Transport),
		_procedure:       req.Procedure,
		_encoding:        string(req.Encoding),
		_routingKey:      req.RoutingKey,
		_routingDelegate: req.RoutingDelegate,
		_direction:       direction,
		_rpcType:         rpcType.String(),
	}

	if m.source {
		tags[_source] = _droppedTagValue
	}
	if m.dest {
		tags[_dest] = _droppedTagValue
	}
	if m.transport {
		tags[_transport] = _droppedTagValue
	}
	if m.encoding {
		tags[_encoding] = _droppedTagValue
	}
	if m.procedure {
		tags[_procedure] = _droppedTagValue
	}
	if m.routingKey {
		tags[_routingKey] = _droppedTagValue
	}
	if m.routingDelegate {
		tags[_routingDelegate] = _droppedTagValue
	}
	if m.direction {
		tags[_direction] = _droppedTagValue
	}
	if m.rpcType {
		tags[_rpcType] = _droppedTagValue
	}

	return tags
}

func newGraph(meter *metrics.Scope, logger *zap.Logger, extract ContextExtractor, metricTagsIgnore []string) graph {
	return graph{
		edges:            make(map[string]*edge, _defaultGraphSize),
		meter:            meter,
		logger:           logger,
		extract:          extract,
		ignoreMetricsTag: newMetricsTagIgnore(metricTagsIgnore),
		inboundLevels: levels{
			success:          zapcore.DebugLevel,
			failure:          zapcore.ErrorLevel,
			applicationError: zapcore.ErrorLevel,
			serverError:      zapcore.ErrorLevel,
			clientError:      zapcore.ErrorLevel,
		},
		outboundLevels: levels{
			success:          zapcore.DebugLevel,
			failure:          zapcore.ErrorLevel,
			applicationError: zapcore.ErrorLevel,
			serverError:      zapcore.ErrorLevel,
			clientError:      zapcore.ErrorLevel,
		},
	}
}

// begin starts a call along an edge.
func (g *graph) begin(ctx context.Context, rpcType transport.Type, direction directionName, req *transport.Request) call {
	now := _timeNow()

	d := digester.New()
	if !g.ignoreMetricsTag.source {
		d.Add(req.Caller)
	}
	if !g.ignoreMetricsTag.dest {
		d.Add(req.Service)
	}
	if !g.ignoreMetricsTag.transport {
		d.Add(req.Transport)
	}
	if !g.ignoreMetricsTag.encoding {
		d.Add(string(req.Encoding))
	}
	if !g.ignoreMetricsTag.procedure {
		d.Add(req.Procedure)
	}
	if !g.ignoreMetricsTag.routingKey {
		d.Add(req.RoutingKey)
	}
	if !g.ignoreMetricsTag.routingDelegate {
		d.Add(req.RoutingDelegate)
	}
	if !g.ignoreMetricsTag.direction {
		d.Add(string(direction))
	}
	if !g.ignoreMetricsTag.rpcType {
		d.Add(rpcType.String())
	}
	e := g.getOrCreateEdge(d.Digest(), req, string(direction), rpcType)
	d.Free()

	levels := &g.inboundLevels
	if direction != _directionInbound {
		levels = &g.outboundLevels
	}

	return call{
		edge:      e,
		extract:   g.extract,
		started:   now,
		ctx:       ctx,
		req:       req,
		rpcType:   rpcType,
		direction: direction,
		levels:    levels,
	}
}

func (g *graph) getOrCreateEdge(key []byte, req *transport.Request, direction string, rpcType transport.Type) *edge {
	if e := g.getEdge(key); e != nil {
		return e
	}
	return g.createEdge(key, req, direction, rpcType)
}

func (g *graph) getEdge(key []byte) *edge {
	g.edgesMu.RLock()
	e := g.edges[string(key)]
	g.edgesMu.RUnlock()
	return e
}

func (g *graph) createEdge(key []byte, req *transport.Request, direction string, rpcType transport.Type) *edge {
	g.edgesMu.Lock()
	// Since we'll rarely hit this code path, the overhead of defer is acceptable.
	defer g.edgesMu.Unlock()

	if e, ok := g.edges[string(key)]; ok {
		// Someone beat us to the punch.
		return e
	}

	e := newEdge(g.logger, g.meter, g.ignoreMetricsTag, req, direction, rpcType)
	g.edges[string(key)] = e
	return e
}

// An edge is a collection of RPC stats for a particular
// caller-callee-encoding-procedure-sk-rd-rk edge in the service graph.
type edge struct {
	logger *zap.Logger

	calls          *metrics.Counter
	successes      *metrics.Counter
	panics         *metrics.Counter
	callerFailures *metrics.CounterVector
	serverFailures *metrics.CounterVector

	latencies            *metrics.Histogram
	callerErrLatencies   *metrics.Histogram
	serverErrLatencies   *metrics.Histogram
	ttls                 *metrics.Histogram
	timeoutTtls          *metrics.Histogram
	requestPayloadSizes  *metrics.Histogram
	responsePayloadSizes *metrics.Histogram
	streaming            *streamEdge
}

// streamEdge metrics should only be used for streaming requests.
type streamEdge struct {
	sends         *metrics.Counter
	sendSuccesses *metrics.Counter
	sendFailures  *metrics.CounterVector

	receives         *metrics.Counter
	receiveSuccesses *metrics.Counter
	receiveFailures  *metrics.CounterVector

	streamDurations            *metrics.Histogram
	streamRequestPayloadSizes  *metrics.Histogram
	streamResponsePayloadSizes *metrics.Histogram

	streamsActive *metrics.Gauge
}

// newEdge constructs a new edge. Since Registries enforce metric uniqueness,
// edges should be cached and re-used for each RPC.
func newEdge(logger *zap.Logger, meter *metrics.Scope, tagToIgnore *metricsTagIgnore, req *transport.Request, direction string, rpcType transport.Type) *edge {
	tags := tagToIgnore.tags(req, direction, rpcType)

	// metrics for all RPCs
	calls, err := meter.Counter(metrics.Spec{
		Name:      "calls",
		Help:      "Total number of RPCs.",
		ConstTags: tags,
	})
	if err != nil {
		logger.Error("Failed to create calls counter.", zap.Error(err))
	}
	successes, err := meter.Counter(metrics.Spec{
		Name:      "successes",
		Help:      "Number of successful RPCs.",
		ConstTags: tags,
	})
	if err != nil {
		logger.Error("Failed to create successes counter.", zap.Error(err))
	}
	panics, err := meter.Counter(metrics.Spec{
		Name:      "panics",
		Help:      "Number of RPCs failed because of panic.",
		ConstTags: tags,
	})
	if err != nil {
		logger.Error("Failed to create panics counter.", zap.Error(err))
	}
	callerFailures, err := meter.CounterVector(metrics.Spec{
		Name:      "caller_failures",
		Help:      "Number of RPCs failed because of caller error.",
		ConstTags: tags,
		VarTags:   []string{_error, _errorNameMetricsKey},
	})
	if err != nil {
		logger.Error("Failed to create caller failures vector.", zap.Error(err))
	}
	serverFailures, err := meter.CounterVector(metrics.Spec{
		Name:      "server_failures",
		Help:      "Number of RPCs failed because of server error.",
		ConstTags: tags,
		VarTags:   []string{_error, _errorNameMetricsKey},
	})
	if err != nil {
		logger.Error("Failed to create server failures vector.", zap.Error(err))
	}

	// metrics for only unary and oneway
	var latencies, callerErrLatencies, serverErrLatencies, ttls, timeoutTtls,
		requestPayloadSizes, responsePayloadSizes *metrics.Histogram
	if rpcType == transport.Unary || rpcType == transport.Oneway {
		latencies, err = meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "success_latency_ms",
				Help:      "Latency distribution of successful RPCs.",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsMs,
		})
		if err != nil {
			logger.Error("Failed to create success latency distribution.", zap.Error(err))
		}
		callerErrLatencies, err = meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "caller_failure_latency_ms",
				Help:      "Latency distribution of RPCs failed because of caller error.",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsMs,
		})
		if err != nil {
			logger.Error("Failed to create caller failure latency distribution.", zap.Error(err))
		}
		serverErrLatencies, err = meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "server_failure_latency_ms",
				Help:      "Latency distribution of RPCs failed because of server error.",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsMs,
		})
		if err != nil {
			logger.Error("Failed to create server failure latency distribution.", zap.Error(err))
		}
		ttls, err = meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "ttl_ms",
				Help:      "TTL distribution of the RPCs passed by the caller",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsMs,
		})
		if err != nil {
			logger.Error("Failed to create ttl distribution.", zap.Error(err))
		}
		timeoutTtls, err = meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "timeout_ttl_ms",
				Help:      "TTL distribution of the RPCs passed by caller which failed due to timeout",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsMs,
		})
		if err != nil {
			logger.Error("Failed to create timeout ttl distribution.", zap.Error(err))
		}
		requestPayloadSizes, err = meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "request_payload_size_bytes",
				Help:      "Request payload size distribution of the RPCs in bytes",
				ConstTags: tags,
			},
			Unit:    time.Millisecond, // Unit is relevent for this histogram
			Buckets: _bucketsBytes,
		})
		if err != nil {
			logger.Error("Failed to create request payload size histogram.", zap.Error(err))
		}
		responsePayloadSizes, err = meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "response_payload_size_bytes",
				Help:      "Response payload size distribution of the RPCs in bytes",
				ConstTags: tags,
			},
			Unit:    time.Millisecond, // Unit is relevent for this histogram
			Buckets: _bucketsBytes,
		})
		if err != nil {
			logger.Error("Failed to create response payload size histogram.", zap.Error(err))
		}
	}

	// metrics for only streams
	var streaming *streamEdge
	if rpcType == transport.Streaming {
		// sends
		sends, err := meter.Counter(metrics.Spec{
			Name:      "stream_sends",
			Help:      "Total number of streaming messages sent.",
			ConstTags: tags,
		})
		if err != nil {
			logger.DPanic("Failed to create streaming sends counter.", zap.Error(err))
		}
		sendSuccesses, err := meter.Counter(metrics.Spec{
			Name:      "stream_send_successes",
			Help:      "Number of successful streaming messages sent.",
			ConstTags: tags,
		})
		if err != nil {
			logger.DPanic("Failed to create streaming sends successes counter.", zap.Error(err))
		}
		sendFailures, err := meter.CounterVector(metrics.Spec{
			Name:      "stream_send_failures",
			Help:      "Number streaming messages that failed to send.",
			ConstTags: tags,
			VarTags:   []string{_error},
		})
		if err != nil {
			logger.DPanic("Failed to create streaming sends failure counter.", zap.Error(err))
		}

		// receives
		receives, err := meter.Counter(metrics.Spec{
			Name:      "stream_receives",
			Help:      "Total number of streaming messages recevied.",
			ConstTags: tags,
		})
		if err != nil {
			logger.DPanic("Failed to create streaming receives counter.", zap.Error(err))
		}
		receiveSuccesses, err := meter.Counter(metrics.Spec{
			Name:      "stream_receive_successes",
			Help:      "Number of successful streaming messages received.",
			ConstTags: tags,
		})
		if err != nil {
			logger.DPanic("Failed to create streaming receives successes counter.", zap.Error(err))
		}
		receiveFailures, err := meter.CounterVector(metrics.Spec{
			Name:      "stream_receive_failures",
			Help:      "Number streaming messages failed to be recieved.",
			ConstTags: tags,
			VarTags:   []string{_error},
		})
		if err != nil {
			logger.DPanic("Failed to create streaming receives failure counter.", zap.Error(err))
		}

		// entire stream
		streamDurations, err := meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "stream_duration_ms",
				Help:      "Latency distribution of total stream duration.",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsMs,
		})
		if err != nil {
			logger.DPanic("Failed to create stream duration histogram.", zap.Error(err))
		}

		streamRequestPayloadSizes, err := meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "stream_request_payload_size_bytes",
				Help:      "Stream request payload size distribution",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsBytes,
		})
		if err != nil {
			logger.DPanic("Failed to create stream request payload size histogram", zap.Error(err))
		}

		streamResponsePayloadSizes, err := meter.Histogram(metrics.HistogramSpec{
			Spec: metrics.Spec{
				Name:      "stream_response_payload_size_bytes",
				Help:      "Stream response payload size distribution",
				ConstTags: tags,
			},
			Unit:    time.Millisecond,
			Buckets: _bucketsBytes,
		})
		if err != nil {
			logger.DPanic("Failed to create stream response payload size histogram", zap.Error(err))
		}

		streamsActive, err := meter.Gauge(metrics.Spec{
			Name:      "streams_active",
			Help:      "Number of active streams.",
			ConstTags: tags,
		})
		if err != nil {
			logger.DPanic("Failed to create active stream gauge.", zap.Error(err))
		}

		streaming = &streamEdge{
			sends:            sends,
			sendSuccesses:    sendSuccesses,
			sendFailures:     sendFailures,
			receives:         receives,
			receiveSuccesses: receiveSuccesses,
			receiveFailures:  receiveFailures,

			streamDurations:            streamDurations,
			streamRequestPayloadSizes:  streamRequestPayloadSizes,
			streamResponsePayloadSizes: streamResponsePayloadSizes,

			streamsActive: streamsActive,
		}
	}

	logger = logger.With(
		zap.String("source", req.Caller),
		zap.String("dest", req.Service),
		zap.String("transport", unknownIfEmpty(req.Transport)),
		zap.String("procedure", req.Procedure),
		zap.String("encoding", string(req.Encoding)),
		zap.String("routingKey", req.RoutingKey),
		zap.String("routingDelegate", req.RoutingDelegate),
		zap.String("direction", direction),
	)
	return &edge{
		logger:               logger,
		calls:                calls,
		successes:            successes,
		panics:               panics,
		callerFailures:       callerFailures,
		serverFailures:       serverFailures,
		requestPayloadSizes:  requestPayloadSizes,
		responsePayloadSizes: responsePayloadSizes,
		latencies:            latencies,
		callerErrLatencies:   callerErrLatencies,
		serverErrLatencies:   serverErrLatencies,
		ttls:                 ttls,
		timeoutTtls:          timeoutTtls,
		streaming:            streaming,
	}
}

// unknownIfEmpty works around hard-coded default value of "default" in go.uber.org/net/metrics
func unknownIfEmpty(t string) string {
	if t == "" {
		t = "unknown"
	}
	return t
}