Arel Really Exasperates Logicians
Arel is a SQL AST manager for Ruby. It
- Simplifies the generation of complex SQL queries
- Adapts to various RDBMSes
It is intended to be a framework framework; that is, you can build your own ORM with it, focusing on innovative object and collection modeling as opposed to database compatibility and query generation.
For the moment, Arel uses Active Record’s connection adapters to connect to the various engines, connection pooling, perform quoting, and do type conversion.
A Gentle Introduction
Generating a query with Arel is simple. For example, in order to produce
SELECT * FROM users
you construct a table relation and convert it to sql:
users = Arel::Table.new(:users)
query = users.project(Arel.sql('*'))
More Sophisticated Queries
Here is a whirlwind tour through the most common SQL operators. These will probably cover 80% of all interaction with the database.
First is the ‘restriction’ operator,
# => SELECT * FROM users WHERE users.name = 'amy'
What would, in SQL, be part of the
SELECT clause is called in Arel a
# => SELECT users.id FROM users
Joins resemble SQL strongly:
# => SELECT * FROM users INNER JOIN photos ON users.id = photos.user_id
What are called
OFFSET in SQL are called
skip in Arel:
users.take(5) # => SELECT * FROM users LIMIT 5
users.skip(4) # => SELECT * FROM users OFFSET 4
GROUP BY is called
# => SELECT users.name FROM users GROUP BY users.name
The best property of arel is its “composability”, or closure under all operations. For example, to restrict AND project, just “chain” the method invocations:
# => SELECT users.id FROM users WHERE users.name = 'amy'
All operators are chainable in this way, and they are chainable any number of times, in any order.
OR operator works like this:
AND operator behaves similarly.
The Crazy Features
The examples above are fairly simple and other libraries match or come close to matching the expressiveness of Arel (e.g.,
Sequel in Ruby).
Inline math operations
Suppose we have a table
products with prices in different currencies. And we have a table
currency_rates, of constantly changing currency rates. In Arel:
```ruby products = Arel::Table.new(:products) # Attributes: [:id, :name, :price, :currency_id]
currency_rates = Arel::Table.new(:currency_rates) # Attributes: [:from_id, :to_id, :date, :rate] ```
Now, to order products by price in user preferred currency simply call:
order(products[:price] * currency_rates[:rate])
Where Arel really shines in its ability to handle complex joins and aggregations. As a first example, let’s consider an “adjacency list”, a tree represented in a table. Suppose we have a table
comments, representing a threaded discussion:
comments = Arel::Table.new(:comments)
And this table has the following attributes:
# [:id, :body, :parent_id]
parent_id column is a foreign key from the
comments table to itself. Now, joining a table to itself requires aliasing in SQL. In fact, you may alias in Arel as well:
replies = comments.alias
comments_with_replies = \
# => SELECT * FROM comments INNER JOIN comments AS comments_2 WHERE comments_2.parent_id = comments.id
This will return the first comment’s reply’s body.
Arel is released under the MIT License.