Jaeger::Client

OpenTracing Tracer implementation for Jaeger in Ruby

Installation

Add this line to your application's Gemfile:

gem 'jaeger-client'

Usage

require 'jaeger/client'
OpenTracing.global_tracer = Jaeger::Client.build(host: 'localhost', port: 6831, service_name: 'echo')

OpenTracing.start_active_span('span name') do
  # do something

  OpenTracing.start_active_span('inner span name') do
    # do something else
  end
end

See opentracing-ruby for more examples.

Reporters

RemoteReporter (default)

RemoteReporter buffers spans in memory and sends them out of process using Sender.

There are two senders: UdpSender (default) and HttpSender.

To use HttpSender:

OpenTracing.global_tracer = Jaeger::Client.build(
  service_name: 'service_name',
  reporter: Jaeger::Reporters::RemoteReporter.new(
    sender: Jaeger::HttpSender.new(
      url: 'http://localhost:14268/api/traces',
      headers: { 'key' => 'value' }, # headers key is optional
      encoder: Jaeger::Encoders::ThriftEncoder.new(service_name: 'service_name')
    ),
    flush_interval: 10
  )
)

NullReporter

NullReporter ignores all spans.

OpenTracing.global_tracer = Jaeger::Client.build(
  service_name: 'service_name',
  reporter: Jaeger::Reporters::NullReporter.new
)

LoggingReporter

LoggingReporter prints some details about the span using logger. This is meant only for debugging. Do not parse and use this information for anything critical. The implemenation can change at any time.

OpenTracing.global_tracer = Jaeger::Client.build(
  service_name: 'service_name',
  reporter: Jaeger::Reporters::LoggingReporter.new
)

LoggingReporter can also use a custom logger. For this provide logger using logger keyword argument.

Samplers

Const sampler

Const sampler always makes the same decision for new traces depending on the initialization value. Set sampler to: Jaeger::Samplers::Const.new(true) to mark all new traces as sampled.

Probabilistic sampler

Probabilistic sampler samples traces with probability equal to rate (must be between 0.0 and 1.0). This can be enabled by setting Jaeger::Samplers::Probabilistic.new(rate: 0.1)

RateLimiting sampler

RateLimiting sampler samples at most max_traces_per_second. The distribution of sampled traces follows burstiness of the service, i.e. a service with uniformly distributed requests will have those requests sampled uniformly as well, but if requests are bursty, especially sub-second, then a number of sequential requests can be sampled each second.

Set sampler to Jaeger::Samplers::RateLimiting.new(max_traces_per_second: 100)

GuaranteedThroughputProbabilistic sampler

GuaranteedThroughputProbabilistic is a sampler that guarantees a throughput by using a Probabilistic sampler and RateLimiting sampler The RateLimiting sampler is used to establish a lower_bound so that every operation is sampled at least once in the time interval defined by the lower_bound.

Set sampler to Jaeger::Samplers::GuaranteedThroughputProbabilistic.new(lower_bound: 10, rate: 0.001)

PerOperation sampler

PerOperation sampler leverages both Probabilistic sampler and RateLimiting sampler via the GuaranteedThroughputProbabilistic sampler. This sampler keeps track of all operations and delegates calls the the respective GuaranteedThroughputProbabilistic sampler.

Set sampler to

  Jaeger::Samplers::PerOperation.new(
    strategies: {
      per_operation_strategies: [
        { operation: 'GET /articles', probabilistic_sampling: 0.5 },
        { operation: 'POST /articles', probabilistic_sampling: 1.0 }
      ],
      default_sampling_probability: 0.001,
      default_lower_bound_traces_per_second: 1.0 / (10.0 * 60.0)
    },
    max_operations: 1000
  )

Zipkin HTTP B3 compatible header propagation

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 OpenZipkin tracers.

To set it up you need to change FORMAT_RACK injector and extractor.

OpenTracing.global_tracer = Jaeger::Client.build(
  service_name: 'service_name',
  injectors: {
    OpenTracing::FORMAT_RACK => [Jaeger::Injectors::B3RackCodec]
  },
  extractors: {
    OpenTracing::FORMAT_RACK => [Jaeger::Extractors::B3RackCodec]
  }
)

It's also possible to set up multiple injectors and extractors. Each injector will be called in sequence. Note that if multiple injectors are using the same keys then the values will be overwritten.

If multiple extractors is used then the span context from the first match will be returned.

Process Tags

Jaeger Tracer allows you to define process level tags. By default the tracer provides jaeger.version, ip and hostname. You may want to overwrite ip or hostname if the tracer cannot auto-detect them.

OpenTracing.global_tracer = Jaeger::Client.build(
  service_name: 'service_name',
  tags: {
    'hostname' => 'custom-hostname',
    'custom_tag' => 'custom-tag-value'
  }
)

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/salemove/jaeger-client-ruby

License

The gem is available as open source under the terms of the MIT License.