SqlMetrics

A simple gem to track metric events in your own postgres or Amazon Redshift database.

• Asynchronously stores events into Postgres or Amazon Redshift based db
• Filters commonly known bots by default
• Uses geoip gem to extract city/country from client ip's

• Batch inserting events to db to improve performance under very high load
• Track Users (just because thats a common thing to do besides tracking raw events)
• Offer SQL based dashboard that allows to run custom queries and also render charts

Add this line to your application's Gemfile:

gem 'sql_metrics'

And then execute:

$ bundle

Or install it yourself as:

$ gem install sql_metrics

Tell the gem how to connect to your db. So simply create a file called sql_metrics.rb into your config/libs folder with the config:

SqlMetrics.configure do |config|
  config.host = '127.0.0.1'
  config.db_name = 'my_metrics_db'
  config.user = 'my_postgres_user'
  config.password = 'my_password'
end

Then to create the required events table just run this rake task:

rake sql_metrics:create_events_table

A simple event can look like this:

SqlMetrics.track(
  'event_name',
  {
    :a_property => 'hello world',
    :another_property => 'hello user'
  }
)

You can also pass a rails request object from a controller:

SqlMetrics.track(
  'event_name',
  {
    :a_property => 'hello world',
    :another_property => 'hello user'
  },
  request
)

The gem automatically filters bots for you using the user_agent property from the rails request object...you can disable this if you want:

SqlMetrics.track(
  'event_name',
  {
    :a_property => 'hello world',
    :another_property => 'hello user'
  },
  request,
  {
    :filter_bots => false
  }
)

The gem also automatically performs a geo lookup using the remote_ip property from the rails request object...you can disable this if you want:

SqlMetrics.track(
  'event_name',
  {
    :a_property => 'hello world',
    :another_property => 'hello user'
  },
  request,
  {
    :geo_lookup => false
  }
)

This will automatically fetch properties like the user agent, client ip, requested url, etc

SqlMetrics.configure do |config|
  config.host = '127.0.0.1'
  config.db_name = 'my_metrics_db'
  config.user = 'my_postgres_user'
  config.password = 'my_password'

  config.event_table_name = 'my_custom_events_table'
end

SqlMetrics.configure do |config|
  config.host = '127.0.0.1'
  config.db_name = 'my_metrics_db'
  config.user = 'my_postgres_user'
  config.password = 'my_password'

  config.database_schema = 'my_custom_schema'
end

SqlMetrics.configure do |config|
  config.host = '127.0.0.1'
  config.db_name = 'my_metrics_db'
  config.user = 'my_postgres_user'
  config.password = 'my_password'

  config.bots_regex = /Googlebot|Pingdom|bing|Yahoo|Amazon|Twitter|Yandex|majestic12/i
end

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.

Bug reports and pull requests are welcome on GitHub at https://github.com/KaktusLab/sql_metrics. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

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