# Database Cleaner [![Build Status](https://travis-ci.org/DatabaseCleaner/database_cleaner.svg?branch=master)](https://travis-ci.org/DatabaseCleaner/database_cleaner) [![Code Climate](https://codeclimate.com/github/DatabaseCleaner/database_cleaner/badges/gpa.svg)](https://codeclimate.com/github/DatabaseCleaner/database_cleaner) Database Cleaner is a set of gems containing strategies for cleaning your database in Ruby. The original use case was to ensure a clean state during tests. Each strategy is a small amount of code but is code that is usually needed in any ruby app that is testing with a database. ## Gem Setup Instead of using the `database_cleaner` gem directly, each ORM has its own gem. Most projects will only need the `database_cleaner-active_record` gem: ```ruby # Gemfile group :test do gem 'database_cleaner-active_record' end ``` If you are using multiple ORMs, just load multiple gems: ```ruby # Gemfile group :test do gem 'database_cleaner-active_record' gem 'database_cleaner-redis' end ``` ## Supported Databases, Libraries and Strategies ActiveRecord, DataMapper, Sequel, MongoMapper, Mongoid, CouchPotato, Ohm and Redis are supported. Here is an overview of the strategies supported for each ORM: Gem | ORM | Truncation | Transaction | Deletion --- | --- | ---------- | ----------- | -------- [database_cleaner-active_record](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-active_record) | ActiveRecord | Yes | **Yes** | Yes [database_cleaner-data_mapper](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-data_mapper) | DataMapper | Yes | **Yes** | No [database_cleaner-couch_potato](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-couch_potato) | CouchPotato | **Yes** | No | No [database_cleaner-mongo](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-mongo) | Mongo | **Yes** | No | No [database_cleaner-mongo_mapper](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-mongo_mapper) | MongoMapper | **Yes** | No | No [database_cleaner-mongoid](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-mongoid) | Mongoid | **Yes** | No | No [database_cleaner-moped](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-moped) | Moped | **Yes** | No | No [database_cleaner-sequel](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-sequel) | Sequel | **Yes** | Yes | Yes [database_cleaner-redis](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-redis) | Redis | **Yes** | No | No [database_cleaner-ohm](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-ohm) | Ohm | **Yes** | No | No [database_cleaner-neo4j](https://github.com/DatabaseCleaner/database_cleaner/adapters/database_cleaner-neo4j) | Neo4j | Yes | **Yes** | Yes (Default strategy for each library is denoted in bold) Database Cleaner also includes a `null` strategy (that does no cleaning at all) which can be used with any ORM library. You can also explicitly use it by setting your strategy to `nil`. For support or to discuss development please use the [Google Group](http://groups.google.com/group/database_cleaner). ## What strategy is fastest? For the SQL libraries the fastest option will be to use `:transaction` as transactions are simply rolled back. If you can use this strategy you should. However, if you wind up needing to use multiple database connections in your tests (i.e. your tests run in a different process than your application) then using this strategy becomes a bit more difficult. You can get around the problem a number of ways. One common approach is to force all processes to use the same database connection ([common ActiveRecord hack](http://blog.plataformatec.com.br/2011/12/three-tips-to-improve-the-performance-of-your-test-suite/)) however this approach has been reported to result in non-deterministic failures. Another approach is to have the transactions rolled back in the application's process and relax the isolation level of the database (so the tests can read the uncommitted transactions). An easier, but slower, solution is to use the `:truncation` or `:deletion` strategy. So what is fastest out of `:deletion` and `:truncation`? Well, it depends on your table structure and what percentage of tables you populate in an average test. The reasoning is out of the scope of this README but here is a [good SO answer on this topic for Postgres](http://stackoverflow.com/questions/11419536/postgresql-truncation-speed/11423886#11423886). Some people report much faster speeds with `:deletion` while others say `:truncation` is faster for them. The best approach therefore is it try all options on your test suite and see what is faster. If you are using ActiveRecord then take a look at the [additional options](#additional-activerecord-options-for-truncation) available for `:truncation`. ## How to use ```ruby require 'database_cleaner/active_record' DatabaseCleaner.strategy = :truncation # then, whenever you need to clean the DB DatabaseCleaner.clean ``` With the `:truncation` strategy you can also pass in options, for example: ```ruby DatabaseCleaner.strategy = :truncation, {:only => %w[widgets dogs some_other_table]} ``` ```ruby DatabaseCleaner.strategy = :truncation, {:except => %w[widgets]} ``` With Ohm and Redis, `:only` and `:except` take a list of strings to be passed to [`keys`](http://redis.io/commands/keys)). (I should point out the truncation strategy will never truncate your schema_migrations table.) Some strategies need to be started before tests are run (for example the `:transaction` strategy needs to know to open up a transaction). This can be accomplished by calling `DatabaseCleaner.start` at the beginning of the run, or by running the tests inside a block to `DatabaseCleaner.cleaning`. So you would have: ```ruby require 'database_cleaner/active_record' DatabaseCleaner.strategy = :transaction DatabaseCleaner.start # usually this is called in setup of a test dirty_the_db DatabaseCleaner.clean # cleanup of the test # OR DatabaseCleaner.cleaning do dirty_the_db end ``` At times you may want to do a single clean with one strategy. For example, you may want to start the process by truncating all the tables, but then use the faster transaction strategy the remaining time. To accomplish this you can say: ```ruby require 'database_cleaner/active_record' DatabaseCleaner.clean_with :truncation DatabaseCleaner.strategy = :transaction # then make the DatabaseCleaner.start and DatabaseCleaner.clean calls appropriately ``` ### Additional ActiveRecord options for Truncation The following options are available for ActiveRecord's `:truncation` strategy _only_ for MySQL and Postgres. You set them the same as the other truncation options above (e.g. `DatabaseCleaner.strategy = :truncation, {:pre_count => true}`). * `:pre_count` - When set to `true` this will check each table for existing rows before truncating it. This can speed up test suites when many of the tables to be truncated are never populated. Defaults to `:false`. (Also, see the section on [What strategy is fastest?](#what-strategy-is-fastest)) * `:reset_ids` - This only matters when `:pre_count` is used, and it will make sure that a tables auto-incrementing id is reset even if there are no rows in the table (e.g. records were created in the test but also removed before DatabaseCleaner gets to it). Defaults to `true`. The following option is available for ActiveRecord's `:truncation` and `:deletion` strategy for any DB. * `:cache_tables` - When set to `true` the list of tables to truncate or delete from will only be read from the DB once, otherwise it will be read before each cleanup run. Set this to `false` if (1) you create and drop tables in your tests, or (2) you change Postgres schemas (`ActiveRecord::Base.connection.schema_search_path`) in your tests (for example, in a multitenancy setup with each tenant in a different Postgres schema). Defaults to `true`. ### RSpec Example ```ruby RSpec.configure do |config| config.before(:suite) do DatabaseCleaner.strategy = :transaction DatabaseCleaner.clean_with(:truncation) end config.around(:each) do |example| DatabaseCleaner.cleaning do example.run end end end ``` ### RSpec with Capybara Example You'll typically discover a feature spec is incorrectly using transaction instead of truncation strategy when the data created in the spec is not visible in the app-under-test. A frequently occurring example of this is when, after creating a user in a spec, the spec mysteriously fails to login with the user. This happens because the user is created inside of an uncommitted transaction on one database connection, while the login attempt is made using a separate database connection. This separate database connection cannot access the uncommitted user data created over the first database connection due to transaction isolation. For feature specs using a Capybara driver for an external JavaScript-capable browser (in practice this is all drivers except `:rack_test`), the Rack app under test and the specs do not share a database connection. When a spec and app-under-test do not share a database connection, you'll likely need to use the truncation strategy instead of the transaction strategy. See the suggested config below to temporarily enable truncation strategy for affected feature specs only. This config continues to use transaction strategy for all other specs. It's also recommended to use `append_after` to ensure `DatabaseCleaner.clean` runs *after* the after-test cleanup `capybara/rspec` installs. ```ruby require 'capybara/rspec' #... RSpec.configure do |config| config.use_transactional_fixtures = false config.before(:suite) do if config.use_transactional_fixtures? raise(<<-MSG) Delete line `config.use_transactional_fixtures = true` from rails_helper.rb (or set it to false) to prevent uncommitted transactions being used in JavaScript-dependent specs. During testing, the app-under-test that the browser driver connects to uses a different database connection to the database connection used by the spec. The app's database connection would not be able to access uncommitted transaction data setup over the spec's database connection. MSG end DatabaseCleaner.clean_with(:truncation) end config.before(:each) do DatabaseCleaner.strategy = :transaction end config.before(:each, type: :feature) do # :rack_test driver's Rack app under test shares database connection # with the specs, so continue to use transaction strategy for speed. driver_shares_db_connection_with_specs = Capybara.current_driver == :rack_test unless driver_shares_db_connection_with_specs # Driver is probably for an external browser with an app # under test that does *not* share a database connection with the # specs, so use truncation strategy. DatabaseCleaner.strategy = :truncation end end config.before(:each) do DatabaseCleaner.start end config.append_after(:each) do DatabaseCleaner.clean end end ``` ### Minitest Example ```ruby DatabaseCleaner.strategy = :transaction class Minitest::Spec before :each do DatabaseCleaner.start end after :each do DatabaseCleaner.clean end end # with the minitest-around gem, this may be used instead: class Minitest::Spec around do |tests| DatabaseCleaner.cleaning(&tests) end end ``` ### Cucumber Example If you're using Cucumber with Rails, just use the generator that ships with cucumber-rails, and that will create all the code you need to integrate DatabaseCleaner into your Rails project. Otherwise, to add DatabaseCleaner to your project by hand, create a file `features/support/database_cleaner.rb` that looks like this: ```ruby require 'database_cleaner/active_record' DatabaseCleaner.strategy = :truncation Around do |scenario, block| DatabaseCleaner.cleaning(&block) end ``` This should cover the basics of tear down between scenarios and keeping your database clean. For more examples see the section ["Why?"](#why). ## How to use with multiple ORMs Sometimes you need to use multiple ORMs in your application. You can use DatabaseCleaner to clean multiple ORMs, and multiple connections for those ORMs. ```ruby require 'database_cleaner/active_record' require 'database_cleaner/mongo_mapper' # How to specify particular orms DatabaseCleaner[:active_record].strategy = :transaction DatabaseCleaner[:mongo_mapper].strategy = :truncation # How to specify particular connections DatabaseCleaner[:active_record, { :connection => :two }] # You may also pass in the model directly: DatabaseCleaner[:active_record, { :model => ModelWithDifferentConnection }] ``` Usage beyond that remains the same with `DatabaseCleaner.start` calling any setup on the different configured connections, and `DatabaseCleaner.clean` executing afterwards. ### Configuration options
ORM | How to access | Notes |
---|---|---|
Active Record | DatabaseCleaner[:active_record] |
Connection specified as :symbol keys, loaded from config/database.yml . You may also pass in the ActiveRecord model under the :model key. |
Data Mapper | DatabaseCleaner[:data_mapper] |
Connection specified as :symbol keys, loaded via Datamapper repositories |
Mongo Mapper | DatabaseCleaner[:mongo_mapper] |
Multiple connections not yet supported |
Mongoid | DatabaseCleaner[:mongoid] |
Multiple databases supported for Mongoid 3. Specify DatabaseCleaner[:mongoid, {:connection => :db_name}] |
Moped | DatabaseCleaner[:moped] |
It is necessary to configure database name with DatabaseCleaner[:moped].db = db_name otherwise name `default` will be used. |
Couch Potato | DatabaseCleaner[:couch_potato] |
Multiple connections not yet supported |
Sequel | DatabaseCleaner[:sequel] |
Multiple databases supported; specify DatabaseCleaner[:sequel, {:connection => Sequel.connect(uri)}] |
Redis | DatabaseCleaner[:redis] |
Connection specified as Redis URI |
Ohm | DatabaseCleaner[:ohm] |
Connection specified as Redis URI |
Neo4j | DatabaseCleaner[:neo4j] |
Database type and path(URI) DatabaseCleaner[:neo4j, connection: {type: :server_db, path: 'http://localhost:7475'}]. |
test: adapter: postgresql # ... min_messages: WARNING### Nothing happens in JRuby with Sequel using transactions Due to an inconsistency in JRuby's implementation of Fibers, Sequel gives a different connection to `DatabaseCleaner.start` than is used for tests run between `.start` and `.clean`. This can be worked around by running your tests in a block like `DatabaseCleaner.cleaning { run_my_tests }` instead, which does not use Fibers. ### Model fails to load with Neo4j using transactions When you are using [neo4j](https://github.com/neo4jrb/neo4j) gem it creates schema and reads indexes upon loading models. These operations can't be done during a transaction. You have to preload your models before DatabaseCleaner starts a transaction. Add to your rails_helper or spec_helper after requiring database_cleaner: ```ruby require 'database_cleaner-neo4j' Dir["#{Rails.root}/app/models/**/*.rb"].each do |model| load model end ``` ## Safeguards DatabaseCleaner comes with safeguards against: * Running in production (checking for `ENV`, `RACK_ENV`, and `RAILS_ENV`) * Running against a remote database (checking for a `DATABASE_URL` that does not include `localhost`, `.local` or `127.0.0.1`) Both safeguards can be disabled separately as follows. Using environment variables: ``` export DATABASE_CLEANER_ALLOW_PRODUCTION=true export DATABASE_CLEANER_ALLOW_REMOTE_DATABASE_URL=true ``` In Ruby: ```ruby DatabaseCleaner.allow_production = true DatabaseCleaner.allow_remote_database_url = true ``` In Ruby, a URL whitelist can be specified. When specified, DatabaseCleaner will only allow `DATABASE_URL` to be equal to one of the values specified in the url whitelist like so: ```ruby DatabaseCleaner.url_whitelist = ['postgres://postgres@localhost', 'postgres://foo@bar'] ``` ## Debugging In rare cases DatabaseCleaner will encounter errors that it will log. By default it uses STDOUT set to the ERROR level but you can configure this to use whatever Logger you desire. Here's an example of using the `Rails.logger` in `env.rb`: ```ruby DatabaseCleaner.logger = Rails.logger ``` ## COPYRIGHT See [LICENSE] for details.