Instrumentation library that implements an OpenTracing Go Tracer for Jaeger (https://jaegertracing.io).
IMPORTANT: The library's import path is based on its original location under github.com/uber
. Do not try to import it as github.com/jaegertracing
, it will not compile. We might revisit this in the next major release.
- ✅
import "github.com/uber/jaeger-client-go"
- ❌
import "github.com/jaegertracing/jaeger-client-go"
Please see CONTRIBUTING.md.
We recommended using a dependency manager like dep and semantic versioning when including this library into an application. For example, Jaeger backend imports this library like this:
[[constraint]]
name = "github.com/uber/jaeger-client-go"
version = "2.17"
If you instead want to use the latest version in master
, you can pull it via go get
.
Note that during go get
you may see build errors due to incompatible dependencies, which is why
we recommend using semantic versions for dependencies. The error may be fixed by running
make install
(it will install dep
if you don't have it):
go get -u github.com/uber/jaeger-client-go/
cd $GOPATH/src/github.com/uber/jaeger-client-go/
git submodule update --init --recursive
make install
See tracer initialization examples in godoc and config/example_test.go.
The tracer can be initialized with values coming from environment variables. None of the env vars are required and all of them can be overridden via direct setting of the property on the configuration object.
Property | Description |
---|---|
JAEGER_SERVICE_NAME | The service name |
JAEGER_AGENT_HOST | The hostname for communicating with agent via UDP |
JAEGER_AGENT_PORT | The port for communicating with agent via UDP |
JAEGER_ENDPOINT | The HTTP endpoint for sending spans directly to a collector, i.e. http://jaeger-collector:14268/api/traces |
JAEGER_USER | Username to send as part of "Basic" authentication to the collector endpoint |
JAEGER_PASSWORD | Password to send as part of "Basic" authentication to the collector endpoint |
JAEGER_REPORTER_LOG_SPANS | Whether the reporter should also log the spans |
JAEGER_REPORTER_MAX_QUEUE_SIZE | The reporter's maximum queue size |
JAEGER_REPORTER_FLUSH_INTERVAL | The reporter's flush interval, with units, e.g. "500ms" or "2s" (valid units) |
JAEGER_SAMPLER_TYPE | The sampler type |
JAEGER_SAMPLER_PARAM | The sampler parameter (number) |
JAEGER_SAMPLER_MANAGER_HOST_PORT | The HTTP endpoint when using the remote sampler, i.e. http://jaeger-agent:5778/sampling |
JAEGER_SAMPLER_MAX_OPERATIONS | The maximum number of operations that the sampler will keep track of |
JAEGER_SAMPLER_REFRESH_INTERVAL | How often the remotely controlled sampler will poll jaeger-agent for the appropriate sampling strategy, with units, e.g. "1m" or "30s" (valid units) |
JAEGER_TAGS | A comma separated list of name = value tracer level tags, which get added to all reported spans. The value can also refer to an environment variable using the format ${envVarName:default} , where the :default is optional, and identifies a value to be used if the environment variable cannot be found |
JAEGER_DISABLED | Whether the tracer is disabled or not. If true, the default opentracing.NoopTracer is used. |
JAEGER_RPC_METRICS | Whether to store RPC metrics |
By default, the client sends traces via UDP to the agent at localhost:6831
. Use JAEGER_AGENT_HOST
and
JAEGER_AGENT_PORT
to send UDP traces to a different host:port
. If JAEGER_ENDPOINT
is set, the client sends traces
to the endpoint via HTTP
, making the JAEGER_AGENT_HOST
and JAEGER_AGENT_PORT
unused. If JAEGER_ENDPOINT
is
secured, HTTP basic authentication can be performed by setting the JAEGER_USER
and JAEGER_PASSWORD
environment
variables.
The constructor function for Jaeger Tracer returns the tracer itself and an io.Closer
instance.
It is recommended to structure your main()
so that it calls the Close()
function on the closer
before exiting, e.g.
tracer, closer, err := cfg.NewTracer(...)
defer closer.Close()
This is especially useful for command-line tools that enable tracing, as well as
for the long-running apps that support graceful shutdown. For example, if your deployment
system sends SIGTERM instead of killing the process and you trap that signal to do a graceful
exit, then having defer closer.Closer()
ensures that all buffered spans are flushed.
The tracer emits a number of different metrics, defined in
metrics.go. The monitoring backend is expected to support
tag-based metric names, e.g. instead of statsd
-style string names
like counters.my-service.jaeger.spans.started.sampled
, the metrics
are defined by a short name and a collection of key/value tags, for
example: name:jaeger.traces, state:started, sampled:y
. See metrics.go
file for the full list and descriptions of emitted metrics.
The monitoring backend is represented by the metrics.Factory
interface from package
"github.com/uber/jaeger-lib/metrics"
. An implementation
of that interface can be passed as an option to either the Configuration object or the Tracer
constructor, for example:
import (
"github.com/uber/jaeger-client-go/config"
"github.com/uber/jaeger-lib/metrics/prometheus"
)
metricsFactory := prometheus.New()
tracer, closer, err := config.Configuration{
ServiceName: "your-service-name",
}.NewTracer(
config.Metrics(metricsFactory),
)
By default, a no-op metrics.NullFactory
is used.
The tracer can be configured with an optional logger, which will be
used to log communication errors, or log spans if a logging reporter
option is specified in the configuration. The logging API is abstracted
by the Logger interface. A logger instance implementing
this interface can be set on the Config
object before calling the
New
method.
Besides the zap implementation bundled with this package there is also a go-kit one in the jaeger-lib repository.
Since this tracer is fully compliant with OpenTracing API 1.0, all code instrumentation should only use the API itself, as described in the opentracing-go documentation.
A "reporter" is a component that receives the finished spans and reports
them to somewhere. Under normal circumstances, the Tracer
should use the default RemoteReporter
, which sends the spans out of
process via configurable "transport". For testing purposes, one can
use an InMemoryReporter
that accumulates spans in a buffer and
allows to retrieve them for later verification. Also available are
NullReporter
, a no-op reporter that does nothing, a LoggingReporter
which logs all finished spans using their String()
method, and a
CompositeReporter
that can be used to combine more than one reporter
into one, e.g. to attach a logging reporter to the main remote reporter.
The remote reporter uses "transports" to actually send the spans out of process. Currently the supported transports include:
- Jaeger Thrift over UDP or HTTP,
- Zipkin Thrift over HTTP.
The tracer does not record all spans, but only those that have the
sampling bit set in the flags
. When a new trace is started and a new
unique ID is generated, a sampling decision is made whether this trace
should be sampled. The sampling decision is propagated to all downstream
calls via the flags
field of the trace context. The following samplers
are available:
RemotelyControlledSampler
uses one of the other simpler samplers and periodically updates it by polling an external server. This allows dynamic control of the sampling strategies.ConstSampler
always makes the same sampling decision for all trace IDs. it can be configured to either sample all traces, or to sample none.ProbabilisticSampler
uses a fixed sampling rate as a probability for a given trace to be sampled. The actual decision is made by comparing the trace ID with a random number multiplied by the sampling rate.RateLimitingSampler
can be used to allow only a certain fixed number of traces to be sampled per second.
Version 2.20 introduced the ability to delay sampling decisions in the life cycle of the root span. It involves several features and architectural changes:
- Shared sampling state: the sampling state is shared across all local (i.e. in-process) spans for a given trace.
- New
SamplerV2
API allows the sampler to be called at multiple points in the life cycle of a span:- on span creation
- on overwriting span operation name
- on setting span tags
- on finishing the span
- Final/non-final sampling state: the new
SamplerV2
API allows the sampler to indicate if the negative sampling decision is final or not (positive sampling decisions are always final). If the decision is not final, the sampler will be called again on further span life cycle events, like setting tags.
These new features are used in the experimental x.TagMatchingSampler
, which
can sample a trace based on a certain tag added to the root
span or one of its local (in-process) children. The sampler can be used with
another experimental x.PrioritySampler
that allows multiple samplers to try
to make a sampling decision, in a certain priority order.
The OpenTracing spec allows for baggage, which are key value pairs that are added
to the span context and propagated throughout the trace. An external process can inject baggage
by setting the special HTTP Header jaeger-baggage
on a request:
curl -H "jaeger-baggage: key1=value1, key2=value2" http://myhost.com
Baggage can also be programatically set inside your service:
if span := opentracing.SpanFromContext(ctx); span != nil {
span.SetBaggageItem("key", "value")
}
Another service downstream of that can retrieve the baggage in a similar way:
if span := opentracing.SpanFromContext(ctx); span != nil {
val := span.BaggageItem("key")
println(val)
}
The OpenTracing API defines a sampling.priority
standard tag that
can be used to affect the sampling of a span and its children:
import (
"github.com/opentracing/opentracing-go"
"github.com/opentracing/opentracing-go/ext"
)
span := opentracing.SpanFromContext(ctx)
ext.SamplingPriority.Set(span, 1)
Jaeger Tracer also understands a special HTTP Header jaeger-debug-id
,
which can be set in the incoming request, e.g.
curl -H "jaeger-debug-id: some-correlation-id" http://myhost.com
When Jaeger sees this header in the request that otherwise has no tracing context, it ensures that the new trace started for this request will be sampled in the "debug" mode (meaning it should survive all downsampling that might happen in the collection pipeline), and the root span will have a tag as if this statement was executed:
span.SetTag("jaeger-debug-id", "some-correlation-id")
This allows using Jaeger UI to find the trace by this tag.
Jaeger Tracer supports Zipkin B3 Propagation HTTP headers, which are used by a lot of Zipkin tracers. This means that you can use Jaeger in conjunction with e.g. these OpenZipkin tracers.
However it is not the default propagation format, see here how to set it up.
Jaeger Tracer supports an additional reference
type call Self
. This allows a caller to provide an already established SpanContext
.
This allows loading and continuing spans/traces from offline (ie log-based) storage. The Self
reference
bypasses trace and span id generation.
Usage requires passing in a SpanContext
and the jaeger Self
reference type:
span := tracer.StartSpan(
"continued_span",
SelfRef(yourSpanContext),
)
...
defer span.finish()