/zipkin-ruby

zipkin-tracer ruby gem

Primary LanguageRubyApache License 2.0Apache-2.0

ZipkinTracer: Zipkin client for Ruby

Build Status

Rack and Faraday integration middlewares for Zipkin tracing.

Usage

Sending traces on incoming requests

Options can be provided as a hash via Rails.config.zipkin_tracer for Rails apps or directly to the Rack middleware:

require 'zipkin-tracer'
use ZipkinTracer::RackHandler, config

Configuration options

Common

  • :service_name REQUIRED - the name of the service being traced. There are two ways to configure this value. Either write the service name in the config file or set the "DOMAIN" environment variable (e.g. 'test-service.example.com' or 'test-service'). The environment variable takes precedence over the config file value.
  • :sample_rate (default: 0.1) - the ratio of requests to sample, from 0 to 1
  • :sampled_as_boolean - When set to true (default but deprecrated), it uses true/false for the X-B3-Sampled header. When set to false uses 1/0 which is preferred.
  • :trace_id_128bit - When set to true, high 8-bytes will be prepended to trace_id. The upper 4-bytes are epoch seconds and the lower 4-bytes are random. This makes it convertible to Amazon X-Ray trace ID format v1. (See http://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-request-tracing.html)
  • :async - By default senders will flush traces asynchronously. Set to false to make that process synchronous. Only supported by the HTTP, RabbitMQ, and SQS senders.
  • :logger - The default logger for Rails apps is Rails.logger, else it is STDOUT. Use this option to pass a custom logger.

Sender specific

  • :json_api_host - Hostname with protocol of a zipkin api instance (e.g. https://zipkin.example.com) to use the HTTP sender
  • :zookeeper - The address of the zookeeper server to use by the Kafka sender
  • :sqs_queue_name - The name of the Amazon SQS queue to use the SQS sender
  • :sqs_region - The AWS region for the Amazon SQS queue (optional)
  • :rabbit_mq_connection - The bunny connection to be used by the RabbitMQ sender
  • :rabbit_mq_exchange - The name of the exchange to be used by the RabbitMQ sender (optional)
  • :rabbit_mq_routing_key - The name of the routing key to be used by the RabbitMQ sender (optional)
  • :log_tracing - Set to true to log all traces. Only used if traces are not sent to the API or Kafka.

Plugins

  • :annotate_plugin - Receives the Rack env, the response status, headers, and body to record annotations
  • :filter_plugin - Receives the Rack env and will skip tracing if it returns false
  • :whitelist_plugin - Receives the Rack env and will force sampling if it returns true

Sending traces on outgoing requests with Faraday

First, Faraday has to be part of your Gemfile:

gem 'faraday', '~> 0.8'

For the Faraday middleware to have the correct trace ID, the rack middleware should be used in your application as explained above.

Then include ZipkinTracer::FaradayHandler as a Faraday middleware:

require 'faraday'
require 'zipkin-tracer'

conn = Faraday.new(:url => 'http://localhost:9292/') do |faraday|
  faraday.use ZipkinTracer::FaradayHandler, 'service_name' # 'service_name' is optional (but recommended)
  # default Faraday stack
  faraday.request :url_encoded
  faraday.adapter Faraday.default_adapter
end

Note that supplying the service name for the destination service is optional; the tracing will default to a service name derived from the first section of the destination URL (e.g. 'service.example.com' => 'service').

Tracing Sidekiq workers

Sidekiq tracing can be turned on by adding ZipkinTracer::Sidekiq::Middleware to your sidekiq middleware chain:

zipkin_tracer_config = {
  service_name: 'service',
  json_api_host: 'http://zipkin.io',
  traceable_workers: [:MyWorker, :MyWorker2],
  sample_rate: 0.5
}

Sidekiq.configure_server do |config|
  config.server_middleware do |chain|
    chain.add ZipkinTracer::Sidekiq::Middleware, zipkin_tracer_config
  end
end

By default workers aren't traced. You can specify the workers that you want to trace with traceable_workers config option. If you want all your workers to be traced pass [:all] to traceable_workers option (traceable_workers: [:all]).

Local tracing

ZipkinTracer::TraceClient provides an API to record local traces in your application. It can be used to measure the performance of process, record value of variables, and so on.

When local_component_span method is called, it creates a new span and a local component, and provides the following methods to create annotations.

  • record(key) - annotation
  • record_tag(key, value) - tag

Example:

ZipkinTracer::TraceClient.local_component_span('DB process') do |ztc|
  ztc.record 'Create users'
  ztc.record_tag 'number', '1000'

  # create 1000 users
end

Senders

Only one of the following senders can be used at a given time.

HTTP

Sends traces as JSON over HTTP. This is the preferred sender to use as the openzipkin project moves away from Thrift.

You need to specify the :json_api_host parameter to wherever your zipkin collector is running. It will POST traces to the /api/v2/spans path.

Kafka

Uses Kafka as the transport.

If in the config :zookeeper is set, then the gem will use Kafka via Hermann; you will need the hermann gem (~> 0.27.0) installed, as it is not part of zipkin-tracer's gemspec.

Alternatively, you may provide a :producer option in the config; this producer should accept #push() with a message and optional :topic. If the value returned responds to #value!, it will be called (to block until completed).

Caveat: Hermann is only usable from within Jruby, due to its implementation of zookeeper based broker discovery being JVM based.

The Kafka transport send data using Thrift. Since version 0.31.0, Thrift is not a dependency, thus the gem 'finagle-thrift' needs to be added to the Gemfile also.

Amazon SQS

Uses Amazon SQS as the transport.

If :sqs_queue_name is set in the config, then the gem will use Amazon SQS; you will need the aws-sdk-sqs gem installed, as it is not part of zipkin-tracer's gemspec.

The following Amazon SQS permissions are required:

  • sqs:SendMessage
  • sqs:GetQueueUrl

Optionally, you can set :sqs_region to specify the AWS region to connect to.

RabbitMQ

Uses RabbitMQ as the transport

If :rabbit_mq_connection is set in the config, then the gem will use RabbitMQ. You will need to pass a Bunny connection. You can optionally set the exchange name and routing key using :rabbit_mq_exchange and :rabbit_mq_routing_key

Logger

The simplest sender that does something. It will log all your spans. This sender can be used for debugging purpose (to see what is going to be sent) or to deliver zipkin information into the logs for later retrieval and analysis.

You need to set :log_tracing to true in the configuration.

Null

If the configuration does not provide either an API host, Zookeeper server or Amazon SQS queue then the middlewares will not attempt to send traces although they will still generate proper IDs and pass them to other services.

Thus, if you only want to generate IDs for instance for logging and do not intent to integrate with Zipkin you can still use this gem. Just do not specify any server :)

Plugins

annotate_plugin

The annotate plugin expects a function of the form:

lambda { |span, env, status, response_headers, response_body| ... }

The annotate plugin is expected to perform annotation based on content of the Rack environment and the response components.

Warning: Access to the response body may cause problems if the response is being streamed, in general this should be avoided. See the Rack specification for more detail and instructions for properly hijacking responses.

The return value is ignored.

For example:

lambda do |span, env, status, response_headers, response_body|
  ep = ::Trace.default_endpoint
  # string annotation
  span.record_tag('http.referrer', env['HTTP_REFERRER'])
  # integer annotation
  span.record_tag('http.content_size', env['CONTENT_SIZE'].to_s)
  span.record_tag('http.status_code', status)
end

filter_plugin

The filter plugin expects a function of the form:

lambda { |env| ... }

The filter plugin allows skipping tracing if the return value is false.

For example:

# don't trace /static/ URIs
lambda { |env| env['PATH_INFO'] !~ /^\/static\// }

whitelist_plugin

The whitelist plugin expects a function of the form:

lambda { |env| ... }

The whitelist plugin allows forcing sampling if the return value is true.

For example:

# sample if request header specifies known device identifier
lambda { |env| KNOWN_DEVICES.include?(env['HTTP_X_DEVICE_ID']) }

Utility classes

TraceWrapper

This class provides a .wrap_in_custom_span method which expects a configuration hash, a span name and a block. You may also pass a span kind and an Application object using respectively span_kind: and app: keyword arguments.

The block you pass will be executed in the context of a custom span. This is useful when your application doesn't use the rack handler but still needs to generate complete traces, for instance background jobs or lambdas calling remote services.

The following code will create a trace starting with a span of the (default) SERVER kind named "custom span" and then a span of the CLIENT kind will be added by the Faraday middleware. Afterwards the configured sender will call flush!.

TraceWrapper.wrap_in_custom_span(config, "custom span") do |span|
  conn = Faraday.new(url: remote_service_url) do |builder|
    builder.use ZipkinTracer::FaradayHandler, config[:service_name]
    builder.adapter Faraday.default_adapter
  end
  conn.get("/")
end

Development

This project uses Rspec. Make sure your PRs contain proper tests. We have two rake tasks to help finding performance issues:

rake benchmark

Will run a benchmark testing all the different tracers and giving you their relative speed.

rake run_once

Will run the rack middleware, optionally the faraday middleware. Please modify the code to run the middleware you want to test. The best way to use this rake test is together with rbtrace. First run the task in background:

rake run_once &

Take note of the PID that displays in your terminal and run:

rbtrace -p PID -f

It will print out the methods used and the time each took.