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94 lines
3.6 KiB
Markdown
94 lines
3.6 KiB
Markdown
# ARel
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* http://github.com/rails/arel
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## DESCRIPTION
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Arel is a Relational Algebra for Ruby. It 1) simplifies the generation complex of SQL queries and it 2) adapts to various RDBMS systems. 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.
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## Status
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For the moment, Arel uses ActiveRecord's connection adapters to connect to the various engines, connection pooling, perform quoting, and do type conversion.
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## A Gentle Introduction
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Generating a query with ARel is simple. For example, in order to produce
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SELECT * FROM users
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you construct a table relation and convert it to sql:
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users = Arel::Table.new(:users)
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users.project(Arel.sql('*'))
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users.to_sql
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### More Sophisticated Queries
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Here is a whirlwind tour through the most common relational operators. These will probably cover 80% of all interaction with the database.
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First is the 'restriction' operator, `where`:
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users.where(users[:name].eq('amy'))
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# => SELECT * FROM users WHERE users.name = 'amy'
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What would, in SQL, be part of the `SELECT` clause is called in Arel a `projection`:
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users.project(users[:id]) # => SELECT users.id FROM users
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Joins resemble SQL strongly:
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users.join(photos).on(users[:id].eq(photos[:user_id]))
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# => SELECT * FROM users INNER JOIN photos ON users.id = photos.user_id
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What are called `LIMIT` and `OFFSET` in SQL are called `take` and `skip` in Arel:
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users.take(5) # => SELECT * FROM users LIMIT 5
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users.skip(4) # => SELECT * FROM users OFFSET 4
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`GROUP BY` is called `group`:
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users.group(users[:name]) # => SELECT * FROM users GROUP BY name
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The best property of the Relational Algebra is its "composability", or closure under all operations. For example, to restrict AND project, just "chain" the method invocations:
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users \
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.where(users[:name].eq('amy')) \
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.project(users[:id]) \
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# => SELECT users.id FROM users WHERE users.name = 'amy'
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All operators are chainable in this way, and they are chainable any number of times, in any order.
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users.where(users[:name].eq('bob')).where(users[:age].lt(25))
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Of course, many of the operators take multiple arguments, so the last example can be written more tersely:
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users.where(users[:name].eq('bob'), users[:age].lt(25))
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The `OR` operator works like this:
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users.where(users[:name].eq('bob').or(users[:age].lt(25)))
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The `AND` operator behaves similarly.
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### The Crazy Features
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The examples above are fairly simple and other libraries match or come close to matching the expressiveness of Arel (e.g., `Sequel` in Ruby).
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#### Complex Joins
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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:
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comments = Arel::Table.new(:comments)
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And this table has the following attributes:
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comments.columns # => [comments[:id], comments[:body], comments[:parent_id]]
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The `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:
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replies = comments.alias
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comments_with_replies = \
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comments.join(replies).on(replies[:parent_id].eq(comments[:id]))
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# => SELECT * FROM comments INNER JOIN comments AS comments_2 WHERE comments_2.parent_id = comments.id
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This will return the first comment's reply's body.
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