Sequel is a simple, flexible, and powerful SQL database access toolkit for Ruby.
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Sequel provides thread safety, connection pooling and a concise DSL for constructing SQL queries and table schemas.
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Sequel includes a comprehensive ORM layer for mapping records to Ruby objects and handling associated records.
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Sequel supports advanced database features such as prepared statements, bound variables, stored procedures, savepoints, two-phase commit, transaction isolation, master/slave configurations, and database sharding.
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Sequel currently has adapters for ADO, Amalgalite, DataObjects, DB2, DBI, Firebird, IBM_DB, Informix, JDBC, MySQL, Mysql2, ODBC, OpenBase, Oracle, PostgreSQL, SQLite3, Swift, and TinyTDS.
To check out the source code:
git clone git://github.com/jeremyevans/sequel.git
If you have any comments or suggestions please post to the Google group.
sudo gem install sequel
require 'rubygems' require 'sequel' DB = Sequel.sqlite # memory database DB.create_table :items do primary_key :id String :name Float :price end items = DB[:items] # Create a dataset # Populate the table items.insert(:name => 'abc', :price => rand * 100) items.insert(:name => 'def', :price => rand * 100) items.insert(:name => 'ghi', :price => rand * 100) # Print out the number of records puts "Item count: #{items.count}" # Print out the average price puts "The average price is: #{items.avg(:price)}"
Sequel includes an IRB console for quick access to databases. You can use it like this:
sequel sqlite://test.db # test.db in current directory
You get an IRB session with the database object stored in DB.
Sequel is designed to take the hassle away from connecting to databases and manipulating them. Sequel deals with all the boring stuff like maintaining connections, formatting SQL correctly and fetching records so you can concentrate on your application.
Sequel uses the concept of datasets to retrieve data. A Dataset object encapsulates an SQL query and supports chainability, letting you fetch data using a convenient Ruby DSL that is both concise and flexible.
For example, the following one-liner returns the average GDP for countries in the middle east region:
DB[:countries].filter(:region => 'Middle East').avg(:GDP)
Which is equivalent to:
SELECT avg(GDP) FROM countries WHERE region = 'Middle East'
Since datasets retrieve records only when needed, they can be stored and later reused. Records are fetched as hashes (or custom model objects), and are accessed using an Enumerable interface:
middle_east = DB[:countries].filter(:region => 'Middle East') middle_east.order(:name).each{|r| puts r[:name]}
Sequel also offers convenience methods for extracting data from Datasets, such as an extended map method:
middle_east.map(:name) #=> ['Egypt', 'Greece', 'Israel', ...]
Or getting results as a hash via to_hash, with one column as key and another as value:
middle_east.to_hash(:name, :area) #=> {'Israel' => 20000, 'Greece' => 120000, ...}
To connect to a database you simply provide Sequel.connect with a URL:
require 'sequel' DB = Sequel.connect('sqlite://blog.db')
The connection URL can also include such stuff as the user name, password, and port:
DB = Sequel.connect('postgres://user:password@host:port/database_name')
You can also specify optional parameters, such as the connection pool size, or loggers for logging SQL queries:
DB = Sequel.connect("postgres://user:password@host:port/database_name", :max_connections => 10, :logger => Logger.new('log/db.log'))
You can specify a block to connect, which will disconnect from the database after it completes:
Sequel.connect('postgres://user:password@host:port/database_name'){|db| db[:posts].delete}
You can execute arbitrary SQL code using Database#run:
DB.run("create table t (a text, b text)") DB.run("insert into t values ('a', 'b')")
You can also create datasets based on raw SQL:
dataset = DB['select id from items'] dataset.count # will return the number of records in the result set dataset.map(:id) # will return an array containing all values of the id column in the result set
You can also fetch records with raw SQL through the dataset:
DB['select * from items'].each do |row| p row end
You can use placeholders in your SQL string as well:
name = 'Jim' DB['select * from items where name = ?', name].each do |row| p row end
Datasets are the primary way records are retrieved and manipulated. They are generally created via the Database#from or Database#[] methods:
posts = DB.from(:posts) posts = DB[:posts] # same
Datasets will only fetch records when you tell them to. They can be manipulated to filter records, change ordering, join tables, etc..
You can retrieve all records by using the all method:
posts.all # SELECT * FROM posts
The all method returns an array of hashes, where each hash corresponds to a record.
You can also iterate through records one at a time using each:
posts.each{|row| p row}
Or perform more advanced stuff:
names_and_dates = posts.map{|r| [r[:name], r[:date]]} old_posts, recent_posts = posts.partition{|r| r[:date] < Date.today - 7}
You can also retrieve the first record in a dataset:
posts.first # SELECT * FROM posts LIMIT 1
Or retrieve a single record with a specific value:
posts[:id => 1] # SELECT * FROM posts WHERE id = 1 LIMIT 1
If the dataset is ordered, you can also ask for the last record:
posts.order(:stamp).last # SELECT * FROM posts ORDER BY stamp DESC LIMIT 1
An easy way to filter records is to provide a hash of values to match to filter:
my_posts = posts.filter(:category => 'ruby', :author => 'david') # WHERE category = 'ruby' AND author = 'david'
You can also specify ranges:
my_posts = posts.filter(:stamp => (Date.today - 14)..(Date.today - 7)) # WHERE stamp >= '2010-06-30' AND stamp <= '2010-07-07'
Or arrays of values:
my_posts = posts.filter(:category => ['ruby', 'postgres', 'linux']) # WHERE category IN ('ruby', 'postgres', 'linux')
Sequel also accepts expressions:
my_posts = posts.filter{stamp > Date.today << 1} # WHERE stamp > '2010-06-14'
Some adapters will also let you specify Regexps:
my_posts = posts.filter(:category => /ruby/i) # WHERE category ~* 'ruby'
You can also use an inverse filter via exclude:
my_posts = posts.exclude(:category => ['ruby', 'postgres', 'linux']) # WHERE category NOT IN ('ruby', 'postgres', 'linux')
You can also specify a custom WHERE clause using a string:
posts.filter('stamp IS NOT NULL') # WHERE stamp IS NOT NULL
You can use parameters in your string, as well:
author_name = 'JKR' posts.filter('(stamp < ?) AND (author != ?)', Date.today - 3, author_name) # WHERE (stamp < '2010-07-11') AND (author != 'JKR') posts.filter{(stamp < Date.today - 3) & ~{:author => author_name}} # same as above
Datasets can also be used as subqueries:
DB[:items].filter('price > ?', DB[:items].select{avg(price) + 100}) # WHERE price > (SELECT avg(price) + 100 FROM items)
After filtering you can retrieve the matching records by using any of the retrieval methods:
my_posts.each{|row| p row}
See the doc/dataset_filtering.rdoc file for more details.
Counting records is easy using count:
posts.filter(:category.like('%ruby%')).count # SELECT COUNT(*) FROM posts WHERE category LIKE '%ruby%'
And you can also query maximum/minimum values via max and min:
max = DB[:history].max(:value) # SELECT max(value) FROM history min = DB[:history].min(:value) # SELECT min(value) FROM history
Or calculate a sum or average via sum and avg:
sum = DB[:items].sum(:price) # SELECT sum(price) FROM items avg = DB[:items].avg(:price) # SELECT avg(price) FROM items
Ordering datasets is simple using order:
posts.order(:stamp) # ORDER BY stamp posts.order(:stamp, :name) # ORDER BY stamp, name
Chaining order doesn’t work the same as filter:
posts.order(:stamp).order(:name) # ORDER BY name
The order_append method chains this way, though:
posts.order(:stamp).order_append(:name) # ORDER BY stamp, name
You can also specify descending order:
posts.order(:stamp.desc) # ORDER BY stamp DESC
Selecting specific columns to be returned is also simple using select:
posts.select(:stamp) # SELECT stamp FROM posts posts.select(:stamp, :name) # SELECT stamp, name FROM posts
Chaining select works like order, not filter:
posts.select(:stamp).select(:name) # SELECT name FROM posts
As you might expect, there is an order_append equivalent for select called select_append:
posts.select(:stamp).select_append(:name) # SELECT stamp, name FROM posts
Deleting records from the table is done with delete:
posts.filter('stamp < ?', Date.today - 3).delete # DELETE FROM posts WHERE stamp < '2010-07-11'
Be very careful when deleting, as delete affects all rows in the dataset. filter first, delete second, unless you want to empty the table:
# DO THIS: posts.filter('stamp < ?', Date.today - 7).delete # NOT THIS: posts.delete.filter('stamp < ?', Date.today - 7)
Inserting records into the table is done with insert:
posts.insert(:category => 'ruby', :author => 'david') # INSERT INTO posts (category, author) VALUES ('ruby', 'david')
Updating records in the table is done with update:
posts.filter('stamp < ?', Date.today - 7).update(:state => 'archived') # UPDATE posts SET state = 'archived' WHERE stamp < '2010-07-07'
You can reference table columns when choosing what values to set:
posts.filter{|o| o.stamp < Date.today - 7}.update(:backup_number => :backup_number + 1) # UPDATE posts SET backup_number = backup_number + 1 WHERE stamp < '2010-07-07'
As with delete, update affects all rows in the dataset, so filter first, update second, unless you want to update all rows:
# DO THIS: posts.filter('stamp < ?', Date.today - 7).update(:state => 'archived') # NOT THIS: posts.update(:state => 'archived').filter('stamp < ?', Date.today - 7)
You can wrap some code in a database transaction using the Database#transaction method:
DB.transaction do posts.insert(:category => 'ruby', :author => 'david') posts.filter('stamp < ?', Date.today - 7).update(:state => 'archived') end
If the block does not raise an exception, the transaction will be committed. If the block does raise an exception, the transaction will be rolled back, and the exception will be reraised. If you want to rollback the transaction and not raise an exception outside the block, you can raise the Sequel::Rollback exception inside the block:
DB.transaction do posts.insert(:category => 'ruby', :author => 'david') if posts.filter('stamp < ?', Date.today - 7).update(:state => 'archived') == 0 raise Sequel::Rollback end end
Sequel makes it easy to join tables:
order_items = DB[:items].join(:order_items, :item_id => :id). filter(:order_items__order_id => 1234) # SELECT * FROM items INNER JOIN order_items # ON order_items.item_id = items.id # WHERE order_items.order_id = 1234
You can then do anything you like with the dataset:
order_total = order_items.sum(:price) # SELECT sum(price) FROM items INNER JOIN order_items # ON order_items.item_id = items.id # WHERE order_items.order_id = 1234
When retrieving records from joined datasets, you get the results in a single hash, which is subject to clobbering if you have columns with the same name in multiple tables:
DB[:items].join(:order_items, :item_id => :id).first
=> {:id=>order_items.id, :item_id=>order_items.item_id}
Using graph, you can split the result hashes into subhashes, one per join:
DB[:items].graph(:order_items, :item_id => :id).first
=> {:items=>{:id=>items.id}, :order_items=>{:id=>order_items.id, :item_id=>order_items.item_id}}
Sequel expects column names to be specified using symbols. In addition, returned hashes always use symbols as their keys. This allows you to freely mix literal values and column references in many cases. For example, the two following lines produce equivalent SQL:
items.filter(:x => 1) # SELECT * FROM items WHERE (x = 1) items.filter(1 => :x) # SELECT * FROM items WHERE (1 = x)"
Ruby strings are generally treated as SQL strings:
items.filter(:x => 'x') # SELECT * FROM items WHERE (x = 'x')
Column references can be qualified by using the double underscore special notation :table__column:
items.literal(:items__price) # items.price
Another way to qualify columns is to use the qualify method:
items.literal(:price.qualify(:items)) # items.price
You can also alias columns by using the triple undersecore special notation :column___alias or :table__column___alias:
items.literal(:price___p) # price AS p items.literal(:items__price___p) # items.price AS p
Another way to alias columns is to use the as method:
items.literal(:price.as(:p)) # price AS p
A model class wraps a dataset, and an instance of that class wraps a single record in the dataset.
Model classes are defined as regular Ruby classes inheriting from Sequel::Model:
DB = Sequel.connect('sqlite://blog.db') class Post < Sequel::Model end
Sequel model classes assume that the table name is an underscored plural of the class name:
Post.table_name #=> :posts
You can explicitly set the table name or even the dataset used:
class Post < Sequel::Model(:my_posts) end # or: Post.set_dataset :my_posts
If you call set_dataset with a symbol, it assumes you are referring to the table with the same name. You can also call it with a dataset, which will set the defaults for all retrievals for that model:
Post.set_dataset DB[:my_posts].filter(:category => 'ruby') Post.set_dataset DB[:my_posts].select(:id, :name).order(:date)
Model instances are identified by a primary key. In most cases, Sequel can query the database to determine the primary key, but if not, it defaults to using :id. The Model.[] method can be used to fetch records by their primary key:
post = Post[123]
The pk method is used to retrieve the record’s primary key value:
post.pk #=> 123
Sequel models allow you to use any column as a primary key, and even composite keys made from multiple columns:
class Post < Sequel::Model set_primary_key [:category, :title] end post = Post['ruby', 'hello world'] post.pk #=> ['ruby', 'hello world']
You can also define a model class that does not have a primary key via no_primary_key, but then you lose the ability to easily update and delete records:
Post.no_primary_key
A single model instance can also be fetched by specifying a condition:
post = Post[:title => 'hello world'] post = Post.first{num_comments < 10}
A model class lets you iterate over subsets of records by proxying many methods to the underlying dataset. This means that you can use most of the Dataset API to create customized queries that return model instances, e.g.:
Post.filter(:category => 'ruby').each{|post| p post}
You can also manipulate the records in the dataset:
Post.filter{num_comments < 7}.delete Post.filter(:title.like(/ruby/)).update(:category => 'ruby')
A model instance stores its values as a hash with column symbol keys, which you can access directly via the values method:
post.values #=> {:id => 123, :category => 'ruby', :title => 'hello world'}
You can read the record values as object attributes, assuming the attribute names are valid columns in the model’s dataset:
post.id #=> 123 post.title #=> 'hello world'
If the record’s attributes names are not valid columns in the model’s dataset (maybe because you used select_append to add a computed value column), you can use Model#[] to access the values:
post[:id] #=> 123 post[:title] #=> 'hello world'
You can also modify record values using attribute setters or the set method:
post.title = 'hey there' # or post.set(:title=>'hey there')
That will just change the value for the object, it will not update the row in the database. To update the database row, call the save method:
post.save
You can modify record values and save the changes to the object in a single method call using the update method:
post.update(:title => 'hey there')
New records can be created by calling Model.create:
post = Post.create(:title => 'hello world')
Another way is to construct a new instance and save it later:
post = Post.new post.title = 'hello world' post.save
You can also supply a block to Model.new and Model.create:
post = Post.new do |p| p.title = 'hello world' end post = Post.create{|p| p.title = 'hello world'}
You can execute custom code when creating, updating, or deleting records by defining hook methods. The before_create and after_create hook methods wrap record creation. The before_update and after_update hook methods wrap record updating. The before_save and after_save hook methods wrap record creation and updating. The before_destroy and after_destroy hook methods wrap destruction. The before_validation and after_validation hook methods wrap validation. Example:
class Post < Sequel::Model def after_create super author.increase_post_count end def after_destroy super author.decrease_post_count end end
Note the use of super if you define your own hook methods. Almost all Sequel::Model class and instance methods (not just hook methods) can be overridden safely, but you have to make sure to call super when doing so, otherwise you risk breaking things.
For the example above, you should probably use a database trigger if you can. Hooks can be used for data integrity, but they will only enforce that integrity when you are modifying the database through model instances. If you plan on allowing any other access to the database, it’s best to use database triggers and constraints for data integrity.
You can delete individual records by calling delete or destroy. The only difference between the two methods is that destroy invokes before_destroy and after_destroy hook methods, while delete does not:
post.delete # => bypasses hooks post.destroy # => runs hooks
Records can also be deleted en-masse by calling Model.delete and Model.destroy. As stated above, you can specify filters for the deleted records:
Post.filter(:category => 32).delete # => bypasses hooks Post.filter(:category => 32).destroy # => runs hooks
Please note that if Model.destroy is called, each record is deleted separately, but Model.delete deletes all matching records with a single SQL query.
Associations are used in order to specify relationships between model classes that reflect relationships between tables in the database, which are usually specified using foreign keys. You specify model associations via the many_to_one, one_to_one, one_to_many, and many_to_many class methods:
class Post < Sequel::Model many_to_one :author one_to_many :comments many_to_many :tags end
many_to_one and one_to_one create a getter and setter for each model object:
post = Post.create(:name => 'hi!') post.author = Author[:name => 'Sharon'] post.author
one_to_many and many_to_many create a getter method, a method for adding an object to the association, a method for removing an object from the association, and a method for removing all associated objects from the association:
post = Post.create(:name => 'hi!') post.comments comment = Comment.create(:text=>'hi') post.add_comment(comment) post.remove_comment(comment) post.remove_all_comments tag = Tag.create(:tag=>'interesting') post.add_tag(tag) post.remove_tag(tag) post.remove_all_tags
Note that the remove_* and remove_all_* methods do not delete the object from the database, they merely disassociate the associated object from the receiver.
All associations add a dataset method that can be used to further filter or reorder the returned objects, or modify all of them:
# Delete all of this post's comments from the database post.comments_dataset.destroy # Return all tags related to this post with no subscribers, ordered by the tag's name post.tags_dataset.filter(:subscribers=>0).order(:name).all
Associations can be eagerly loaded via eager and the :eager association option. Eager loading is used when loading a group of objects. It loads all associated objects for all of the current objects in one query, instead of using a separate query to get the associated objects for each current object. Eager loading requires that you retrieve all model objects at once via all (instead of individually by each). Eager loading can be cascaded, loading association’s associated objects.
class Person < Sequel::Model one_to_many :posts, :eager=>[:tags] end class Post < Sequel::Model many_to_one :person one_to_many :replies many_to_many :tags end class Tag < Sequel::Model many_to_many :posts many_to_many :replies end class Reply < Sequel::Model many_to_one :person many_to_one :post many_to_many :tags end # Eager loading via .eager Post.eager(:person).all # eager is a dataset method, so it works with filters/orders/limits/etc. Post.filter{topic > 'M'}.order(:date).limit(5).eager(:person).all person = Person.first # Eager loading via :eager (will eagerly load the tags for this person's posts) person.posts # These are equivalent Post.eager(:person, :tags).all Post.eager(:person).eager(:tags).all # Cascading via .eager Tag.eager(:posts=>:replies).all # Will also grab all associated posts' tags (because of :eager) Reply.eager(:person=>:posts).all # No depth limit (other than memory/stack), and will also grab posts' tags # Loads all people, their posts, their posts' tags, replies to those posts, # the person for each reply, the tag for each reply, and all posts and # replies that have that tag. Uses a total of 8 queries. Person.eager(:posts=>{:replies=>[:person, {:tags=>[:posts, :replies]}]}).all
In addition to using eager, you can also use eager_graph, which will use a single query to get the object and all associated objects. This may be necessary if you want to filter or order the result set based on columns in associated tables. It works with cascading as well, the API is very similar. Note that using eager_graph to eagerly load multiple *_to_many associations will cause the result set to be a cartesian product, so you should be very careful with your filters when using it in that case.
You can dynamically customize the eagerly loaded dataset by using using a proc. This proc is passed the dataset used for eager loading, and should return a modified copy of that dataset:
# Eagerly load only replies containing 'foo' Post.eager(:replies=>proc{|ds| ds.filter(text.like('%foo%'))}).all
This also works when using eager_graph, in which case the proc is called with dataset to graph into the current dataset:
Post.eager_graph(:replies=>proc{|ds| ds.filter(text.like('%foo%'))}).all
You can dynamically customize eager loads for both eager and eager_graph while also cascading, by making the value a single entry hash with the proc as a key, and the cascaded associations as the value:
# Eagerly load only replies containing 'foo', and the person and tags for those replies Post.eager(:replies=>{proc{|ds| ds.filter(text.like('%foo%'))}=>[:person, :tags]}).all
The obvious way to add table-wide logic is to define class methods to the model class definition. That way you can define subsets of the underlying dataset, change the ordering, or perform actions on multiple records:
class Post < Sequel::Model def self.posts_with_few_comments filter{num_comments < 30} end def self.clean_posts_with_few_comments posts_with_few_comments.delete end end
You can also implement table-wide logic by defining methods on the dataset using def_dataset_method:
class Post < Sequel::Model def_dataset_method(:posts_with_few_comments) do filter{num_comments < 30} end def_dataset_method(:clean_posts_with_few_comments) do posts_with_few_comments.delete end end
This is the recommended way of implementing table-wide operations, and allows you to have access to your model API from filtered datasets as well:
Post.filter(:category => 'ruby').clean_posts_with_few_comments
Sequel models also provide a subset class method that creates a dataset method with a simple filter:
class Post < Sequel::Model subset(:posts_with_few_comments){num_comments < 30} subset :invisible, ~:visible end
You can define a validate method for your model, which save will check before attempting to save the model in the database. If an attribute of the model isn’t valid, you should add a error message for that attribute to the model object’s errors. If an object has any errors added by the validate method, save will raise an error or return false depending on how it is configured (the raise_on_save_failure flag).
class Post < Sequel::Model def validate super errors.add(:name, "can't be empty") if name.empty? errors.add(:written_on, "should be in the past") if written_on >= Time.now end end