Polo alternatives and similar gems
Based on the "Database Tools" category.
Alternatively, view Polo alternatives based on common mentions on social networks and blogs.
-
Database Cleaner
Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing. -
Lol DBA
lol_dba is a small package of rake tasks that scan your application models and displays a list of columns that probably should be indexed. Also, it can generate .sql migration scripts. -
Seed Fu
Advanced seed data handling for Rails, combining the best practices of several methods together. -
Seedbank
Seedbank gives your seed data a little structure. Create seeds for each environment, share seeds between environments and specify dependencies to load your seeds in order. All nicely integrated with simple rake tasks. -
DatabaseConsistency
The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models. -
SchemaPlus
DISCONTINUED. SchemaPlus provides a collection of enhancements and extensions to ActiveRecord -
Upsert
Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE. -
OnlineMigrations
Catch unsafe PostgreSQL migrations in development and run them easier in production (code helpers for table/column renaming, changing column type, adding columns with default, background migrations, etc). -
Ruby PG Extras
Ruby PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more. -
Slack Smart Bot
Create a Slack bot that is smart and so easy to expand, create new bots on demand, run ruby code on chat, create shortcuts... The main scope of this gem is to be used internally in the company so teams can create team channels with their own bot to help them on their daily work, almost everything is suitable to be automated!! slack-smart-bot can create bots on demand, create shortcuts, run ruby code... just on a chat channel. You can access it just from your mobile phone if you want and run those tests you forgot to run, get the results, restart a server... no limits. -
PgDriveBackup
Simple solution to make encrypted with ccrypt PostgreSQL backups and storing on Google Drive API -
Perfect Shape
Perfect Shape is a collection of geometric algorithms that are mostly useful for GUI manipulation like checking containment of a point in popular geometric shapes such as rectangle, square, arc, circle, polygon, and paths containing lines, quadratic bézier curves, and cubic bezier curves. Also, some general math algorithms like IEEE-754 Remainder. -
ActiveRecord Setops
Union, Intersect, and Difference set operations for ActiveRecord (also, SQL's UnionAll). -
Rapidity
Simple but fast Redis-backed distributed rate limiter. Allows you to specify time interval and count within to limit distributed operations. -
PRY-BYETYPO 👋
A Pry plugin that captures exceptions that may arise from typos and deduces the correct command.
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README
Polo
Polo travels through your database and creates sample snapshots so you can work with real world data in any environment.
Polo takes an ActiveRecord::Base
seed object and traverses every whitelisted ActiveRecord::Association
generating SQL INSERTs
along the way.
You can then save those SQL INSERTS
to .sql file and import the data to your favorite environment.
Motivation
Read our blog post or check out this presentation.
Usage
Given the following data model:
class Chef < ActiveRecord::Base
has_many :recipes
has_many :ingredients, through: :recipes
end
class Recipe < ActiveRecord::Base
has_many :recipes_ingredients
has_many :ingredients, through: :recipes_ingredients
end
class Ingredient < ActiveRecord::Base
end
class RecipesIngredient < ActiveRecord::Base
belongs_to :recipe
belongs_to :ingredient
end
Simple ActiveRecord Objects
inserts = Polo.explore(Chef, 1)
INSERT INTO `chefs` (`id`, `name`) VALUES (1, 'Netto')
Where Chef
is the seed object class, and 1
is the seed object id.
Simple Associations
inserts = Polo.explore(Chef, 1, :recipes)
INSERT INTO `chefs` (`id`, `name`) VALUES (1, 'Netto')
INSERT INTO `recipes` (`id`, `title`, `num_steps`, `chef_id`) VALUES (1, 'Turkey Sandwich', NULL, 1)
INSERT INTO `recipes` (`id`, `title`, `num_steps`, `chef_id`) VALUES (2, 'Cheese Burger', NULL, 1)
Complex nested associations
inserts = Polo.explore(Chef, 1, :recipes => :ingredients)
INSERT INTO `chefs` (`id`, `name`) VALUES (1, 'Netto')
INSERT INTO `recipes` (`id`, `title`, `num_steps`, `chef_id`) VALUES (1, 'Turkey Sandwich', NULL, 1)
INSERT INTO `recipes` (`id`, `title`, `num_steps`, `chef_id`) VALUES (2, 'Cheese Burger', NULL, 1)
INSERT INTO `recipes_ingredients` (`id`, `recipe_id`, `ingredient_id`) VALUES (1, 1, 1)
INSERT INTO `recipes_ingredients` (`id`, `recipe_id`, `ingredient_id`) VALUES (2, 1, 2)
INSERT INTO `recipes_ingredients` (`id`, `recipe_id`, `ingredient_id`) VALUES (3, 2, 3)
INSERT INTO `recipes_ingredients` (`id`, `recipe_id`, `ingredient_id`) VALUES (4, 2, 4)
INSERT INTO `ingredients` (`id`, `name`, `quantity`) VALUES (1, 'Turkey', 'a lot')
INSERT INTO `ingredients` (`id`, `name`, `quantity`) VALUES (2, 'Cheese', '1 slice')
INSERT INTO `ingredients` (`id`, `name`, `quantity`) VALUES (3, 'Patty', '1')
INSERT INTO `ingredients` (`id`, `name`, `quantity`) VALUES (4, 'Cheese', '2 slices')
Advanced Usage
Occasionally, you might have a dataset that you want to refresh. A production database that has data that might be useful on your local copy of the database. Polo doesn't have an opinion about your data; if you try to import data with a key that's already in your local database, Polo doesn't necessarily know how you want to handle that conflict.
Advanced users will find the on_duplicate
option to be helpful in this context. It gives Polo instructions on how to handle collisions.
Note: This feature is currently only supported for MySQL databases. (PRs for other databases are welcome!)
There are two possible values for the on_duplicate
key: :ignore
and :override
. Ignore keeps the old data. Override keeps the new data. If there's a collision and the on_duplicate param is not set, Polo will simpy stop importing the data.
Ignore
A.K.A the Ostrich Approach: stick your head in the sand and pretend nothing happened.
Polo.configure do
on_duplicate :ignore
end
Polo::Traveler.explore(Chef, 1, :recipes)
INSERT IGNORE INTO `chefs` (`id`, `name`) VALUES (1, 'Netto')
INSERT IGNORE INTO `recipes` (`id`, `title`, `num_steps`, `chef_id`) VALUES (1, 'Turkey Sandwich', NULL, 1)
INSERT IGNORE INTO `recipes` (`id`, `title`, `num_steps`, `chef_id`) VALUES (2, 'Cheese Burger', NULL, 1)
Override
Use the option on_duplicate: :override
to override your local data with new data from your Polo script.
Polo.configure do
on_duplicate :override
end
Polo::Traveler.explore(Chef, 1, :recipes)
INSERT INTO `chefs` (`id`, `name`) VALUES (1, 'Netto')
ON DUPLICATE KEY UPDATE id = VALUES(id), name = VALUES(name)
...
Sensitive Fields
You can use the obfuscate
option to obfuscate sensitive fields like emails or
user logins.
Polo.configure do
obfuscate :email, :credit_card
end
Polo::Traveler.explore(AR::Chef, 1)
INSERT INTO `chefs` (`id`, `name`, `email`) VALUES (1, 'Netto', 'eahorctmaagfo.nitm@l')
Warning: This is not a security feature. Fields can still easily be rearranged back to their original format. Polo will simply scramble the order of strings so you don't accidentally end up causing side effects when using production data in development. It is not a good practice to use highly sensitive data in development.
Advanced Obfuscation
For more advanced obfuscation, you can pass in a custom obfuscation strategy. Polo will take in a lambda that can be used to transform sensitive data.
Using a :symbol
as an obfuscate key targets all columns of that name. Passing an SQL selector as a String
will target columns within the specified table.
Polo.configure do
email_strategy = lambda do |email|
first_part = email.split("@")[0]
"#{first_part}@test.com"
end
credit_card_strategy = lambda do |credit_card|
"4123 4567 8910 1112"
end
# If you need the context of the record for its fields, it is accessible
# in the second argument of the strategy
social_security_strategy = lambda do |ssn, instance|
sprintf("%09d", instance.id)
end
obfuscate({
'chefs.email' => email_strategy, # This only applies to the "email" column in the "chefs" table
:credit_card => credit_card_strategy, # This applies to any column named "credit_card" across every table
:ssn_strategy => social_security_strategy
})
end
Polo::Traveler.explore(AR::Chef, 1)
INSERT INTO `chefs` (`id`, `name`, `email`) VALUES (1, 'Netto', '[email protected]')
Installation
Add this line to your application's Gemfile:
gem 'polo'
And then execute:
$ bundle
Or install it yourself as:
$ gem install polo
Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/IFTTT/polo. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Code of Conduct.
To run the specs across all supported version of Rails, check out the repo and follow these steps:
$ bundle install
$ bundle exec appraisal install
$ bundle exec appraisal rake
License
The gem is available as open source under the terms of the MIT License.
*Note that all licence references and agreements mentioned in the Polo README section above
are relevant to that project's source code only.