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, savepoints, two-phase commit, transaction isolation, primary/replica configurations, and database sharding.
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Sequel currently has adapters for ADO, Amalgalite, IBM_DB, JDBC, MySQL, Mysql2, ODBC, Oracle, PostgreSQL, SQLAnywhere, SQLite3, TinyTDS, and Trilogy.
- Website
- RDoc Documentation
- Source Code
- Bug tracking (GitHub Issues)
- Discussion Forum (GitHub Discussions)
- Alternate Discussion Forum (sequel-talk Google Group)
If you have questions about how to use Sequel, please ask on GitHub Discussions or the sequel-talk Google Group. Only use the the bug tracker to report bugs in Sequel, not to ask for help on using Sequel.
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.
gem install sequel
require 'sequel' DB = Sequel.sqlite # memory database, requires sqlite3 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 (usually referred to as bin/sequel). You can use it like this:
sequel sqlite://test.db # test.db in current directory
You get an IRB session with the Sequel::Database object stored in DB.
In addition to providing an IRB shell (the default behavior), bin/sequel also has support for migrating databases, dumping schema migrations, and copying databases. See the bin/sequel guide for more details.
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].where(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, and are accessed using an Enumerable interface:
middle_east = DB[:countries].where(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', 'Turkey', 'Israel', ...] middle_east.map([:id, :name]) # => [[1, 'Egypt'], [3, 'Turkey'], [2, 'Israel'], ...]
Or getting results as a hash via as_hash, with one column as key and another as value:
middle_east.as_hash(:name, :area) # => {'Israel' => 20000, 'Turkey' => 120000, ...}
To connect to a database you simply provide Sequel.connect with a URL:
require 'sequel' DB = Sequel.connect('sqlite://blog.db') # requires sqlite3
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') # requires pg
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'))
It is also possible to use a hash instead of a connection URL, but make sure to include the :adapter option in this case:
DB = Sequel.connect(adapter: :postgres, user: 'user', password: 'password', host: 'host', port: port, database: '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}
Throughout Sequel’s documentation, you will see the DB constant used to refer to the Sequel::Database instance you create. This reflects the recommendation that for an app with a single Sequel::Database instance, the Sequel convention is to store the instance in the DB constant. This is just a convention, it’s not required, but it is recommended.
Note that some frameworks that use Sequel may create the Sequel::Database instance for you, and you might not know how to access it. In most cases, you can access the Sequel::Database instance through Sequel::Model.db.
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. Datasets are always frozen, and they are safe to use by multiple threads concurrently.
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([:name, :date]) old_posts, recent_posts = posts.partition{|r| r[:date] < Date.today - 7}
You can also retrieve the first record in a dataset:
posts.order(:id).first # SELECT * FROM posts ORDER BY id LIMIT 1
Note that you can get the first record in a dataset even if it isn’t ordered:
posts.first # SELECT * FROM posts 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
You can also provide a filter when asking for a single record:
posts.first(id: 1) # SELECT * FROM posts WHERE id = 1 LIMIT 1
Or retrieve a single value for a specific record:
posts.where(id: 1).get(:name) # SELECT name FROM posts WHERE id = 1 LIMIT 1
The most common way to filter records is to provide a hash of values to match to where:
my_posts = posts.where(category: 'ruby', author: 'david') # WHERE ((category = 'ruby') AND (author = 'david'))
You can also specify ranges:
my_posts = posts.where(stamp: (Date.today - 14)..(Date.today - 7)) # WHERE ((stamp >= '2010-06-30') AND (stamp <= '2010-07-07'))
Or arrays of values:
my_posts = posts.where(category: ['ruby', 'postgres', 'linux']) # WHERE (category IN ('ruby', 'postgres', 'linux'))
By passing a block to where, you can use expressions (this is fairly “magical”):
my_posts = posts.where{stamp > Date.today << 1} # WHERE (stamp > '2010-06-14') my_posts = posts.where{stamp =~ Date.today} # WHERE (stamp = '2010-07-14')
If you want to wrap the objects yourself, you can use expressions without the “magic”:
my_posts = posts.where(Sequel[:stamp] > Date.today << 1) # WHERE (stamp > '2010-06-14') my_posts = posts.where(Sequel[:stamp] =~ Date.today) # WHERE (stamp = '2010-07-14')
Some databases such as PostgreSQL and MySQL also support filtering via Regexps:
my_posts = posts.where(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'))
But note that this does a full inversion of the filter:
my_posts = posts.exclude(category: ['ruby', 'postgres', 'linux'], id: 1) # WHERE ((category NOT IN ('ruby', 'postgres', 'linux')) OR (id != 1))
If at any point you want to use a custom SQL fragment for part of a query, you can do so via Sequel.lit:
posts.where(Sequel.lit('stamp IS NOT NULL')) # WHERE (stamp IS NOT NULL)
You can safely interpolate parameters into the custom SQL fragment by providing them as additional arguments:
author_name = 'JKR' posts.where(Sequel.lit('(stamp < ?) AND (author != ?)', Date.today - 3, author_name)) # WHERE ((stamp < '2010-07-11') AND (author != 'JKR'))
Datasets can also be used as subqueries:
DB[:items].where(Sequel[: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 Dataset Filtering file for more details.
Designing apps with security in mind is a best practice. Please read the Security Guide for details on security issues that you should be aware of when using Sequel.
Counting records is easy using count:
posts.where(Sequel.like(:category, '%ruby%')).count # SELECT COUNT(*) FROM posts WHERE (category LIKE '%ruby%' ESCAPE '\')
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
order always overrides the existing order:
posts.order(:stamp).order(:name) # ORDER BY name
If you would like to add to the existing order, use order_append or order_prepend:
posts.order(:stamp).order_append(:name) # ORDER BY stamp, name posts.order(:stamp).order_prepend(:name) # ORDER BY name, stamp
You can also specify descending order:
posts.reverse_order(:stamp) # ORDER BY stamp DESC posts.order(Sequel.desc(:stamp)) # ORDER BY stamp DESC
Note the use of Sequel.desc(:stamp) in the above example. Much of Sequel’s DSL uses this style, calling methods on the Sequel module that return SQL expression objects. Sequel also ships with a core_extensions extension that integrates Sequel’s DSL better into the Ruby language, allowing you to write:
:stamp.desc
instead of:
Sequel.desc(:stamp)
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
Like order, select overrides an existing selection:
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.where(Sequel[: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. Call where first and delete second:
# DO THIS: posts.where(Sequel[:stamp] < Date.today - 7).delete # NOT THIS: posts.delete.where(Sequel[: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.where(Sequel[:stamp] < Date.today - 7).update(state: 'archived') # UPDATE posts SET state = 'archived' WHERE (stamp < '2010-07-07')
You can provide arbitrary expressions when choosing what values to set:
posts.where(Sequel[:stamp] < Date.today - 7).update(backup_number: Sequel[: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 where first, update second:
# DO THIS: posts.where(Sequel[:stamp] < Date.today - 7).update(state: 'archived') # NOT THIS: posts.update(state: 'archived').where(Sequel[:stamp] < Date.today - 7)
Merging records using the SQL MERGE statement is done using merge* methods. You use merge_using to specify the merge source and join conditions. You can use merge_insert, merge_delete, and/or merge_update to set the INSERT, DELETE, and UPDATE clauses for the merge. merge_insert takes the same arguments as insert, and merge_update takes the same arguments as update. merge_insert, merge_delete, and merge_update can all be called with blocks, to set the conditions for the related INSERT, DELETE, or UPDATE.
Finally, after calling all of the other merge_* methods, you call merge to run the MERGE statement on the database.
ds = DB[:m1] merge_using(:m2, i1: :i2). merge_insert(i1: :i2, a: Sequel[:b]+11). merge_delete{a > 30}. merge_update(i1: Sequel[:i1]+:i2+10, a: Sequel[:a]+:b+20) ds.merge # MERGE INTO m1 USING m2 ON (i1 = i2) # WHEN NOT MATCHED THEN INSERT (i1, a) VALUES (i2, (b + 11)) # WHEN MATCHED AND (a > 30) THEN DELETE # WHEN MATCHED THEN UPDATE SET i1 = (i1 + i2 + 10), a = (a + b + 20)
You can wrap a block of code in a database transaction using the Database#transaction method:
DB.transaction do # BEGIN posts.insert(category: 'ruby', author: 'david') # INSERT posts.where(Sequel[:stamp] < Date.today - 7).update(state: 'archived') # UPDATE end # COMMIT
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 # BEGIN posts.insert(category: 'ruby', author: 'david') # INSERT if posts.where('stamp < ?', Date.today - 7).update(state: 'archived') == 0 # UPDATE raise Sequel::Rollback end end # ROLLBACK
Sequel makes it easy to join tables:
order_items = DB[:items].join(:order_items, item_id: :id).where(order_id: 1234) # SELECT * FROM items # INNER JOIN order_items ON (order_items.item_id = items.id) # WHERE (order_id = 1234)
The important thing to note here is that item_id is automatically qualified with the table being joined, and id is automatically qualified with the last table joined.
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_id = 1234)
Note that the default selection in Sequel is *, which includes all columns in all joined tables. Because Sequel returns results as a hash keyed by column name symbols, if any tables have columns with the same name, this will clobber the columns in the returned hash. So when joining you are usually going to want to change the selection using select, select_all, and/or select_append.
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.where(x: 1) # SELECT * FROM items WHERE (x = 1) items.where(1 => :x) # SELECT * FROM items WHERE (1 = x)"
Ruby strings are generally treated as SQL strings:
items.where(x: 'x') # SELECT * FROM items WHERE (x = 'x')
An identifier in SQL is a name that represents a column, table, or schema. The recommended way to qualify columns is to use Sequel[][] or Sequel.qualify
Sequel[:table][:column] Sequel.qualify(:table, :column) # table.column
You can also qualify tables with schemas:
Sequel[:schema][:table] # schema.table
or use multi-level qualification:
Sequel[:schema][:table][:column] # schema.table.column
You can alias identifiers using Sequel[].as or Sequel.as:
Sequel[:column].as(:alias) Sequel.as(:column, :alias) # column AS alias
You can use the Sequel.as method to alias arbitrary expressions, not just identifiers:
Sequel.as(DB[:posts].select{max(id)}, :p) # (SELECT max(id) FROM posts) AS p
And most Sequel expression objects support an as method for aliasing:
(Sequel[:column] + 2).as(:c_plus_2) # (column + 2) AS c_plus_2
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
When a model class is created, it parses the schema in the table from the database, and automatically sets up accessor methods for all of the columns in the table (Sequel::Model implements the active record pattern).
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: class Post < Sequel::Model(DB[:my_posts]); end
If you pass a symbol to the Sequel::Model method, 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:
class Post < Sequel::Model(DB[:my_posts].where(category: 'ruby')); end class Post < Sequel::Model(DB[:my_posts].select(:id, :name).order(:date)); end
Model instances are identified by a primary key. Sequel queries the database to determine the primary key for each model. 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
If you want to override which column(s) to use as the primary key, you can use set_primary_key:
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.first(title: 'hello world') post = Post.first{num_comments < 10}
The dataset for a model class returns rows of model instances instead of plain hashes:
DB[:posts].first.class # => Hash Post.first.class # => Post
A model class forwards 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.where(category: 'ruby').each{|post| p post}
You can also manipulate the records in the dataset:
Post.where{num_comments < 7}.delete Post.where(Sequel.like(:title, /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 []= method.
post.title = 'hey there' post[: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 also set the values for multiple columns in a single method call, using one of the mass-assignment methods. See the mass assignment guide for details. For example set updates the model’s column values without saving:
post.set(title: 'hey there', updated_by: 'foo')
and update updates the model’s column values and then saves the changes to the database:
post.update(title: 'hey there', updated_by: 'foo')
New model instances can be created by calling Model.new, which returns a new model instance without updating the database:
post = Post.new(title: 'hello world')
You can save the record to the database later by calling save on the model instance:
post.save
If you want to create a new record and save it to the database at the same time, you can use Model.create:
post = Post.create(title: 'hello world')
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, and even then they are often subject to race conditions. It’s best to use database triggers and database constraints to enforce 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 delete and destroy on the model’s dataset. As stated above, you can specify filters for the deleted records:
Post.where(category: 32).delete # => bypasses hooks Post.where(category: 32).destroy # => runs hooks
Please note that if destroy is called, each record is deleted separately, but 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 class methods:
class Post < Sequel::Model many_to_one :author one_to_many :comments one_to_one :first_comment, class: :Comment, order: :id many_to_many :tags one_through_one :first_tag, class: :Tag, order: :name, right_key: :tag_id 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.first(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.where(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.where{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 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 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.where(Sequel.like(text, '%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.where(Sequel.like(text, '%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.where(Sequel.like(text, '%foo%'))} => [:person, :tags]}).all
You can use the association_join method to add a join to the model’s dataset based on the association:
Post.association_join(:author) # SELECT * FROM posts # INNER JOIN authors AS author ON (author.id = posts.author_id)
This comes with variants for different join types:
Post.association_left_join(:replies) # SELECT * FROM posts # LEFT JOIN replies ON (replies.post_id = posts.id)
Similar to the eager loading methods, you can use multiple associations and nested associations:
Post.association_join(:author, replies: :person).all # SELECT * FROM posts # INNER JOIN authors AS author ON (author.id = posts.author_id) # INNER JOIN replies ON (replies.post_id = posts.id) # INNER JOIN people AS person ON (person.id = replies.person_id)
The recommended way to implement table-wide logic by defining methods on the dataset using dataset_module:
class Post < Sequel::Model dataset_module do def with_few_comments where{num_comments < 30} end def clean_boring with_few_comments.delete end end end
This allows you to have access to your model API from filtered datasets as well:
Post.where(category: 'ruby').clean_boring # DELETE FROM posts WHERE ((category = 'ruby') AND (num_comments < 30))
Inside dataset_module blocks, there are numerous methods that support easy creation of dataset methods. Most of these methods are named after the dataset methods themselves, such as select, order, and group:
class Post < Sequel::Model dataset_module do where(:with_few_comments, Sequel[:num_comments] < 30) select :with_title_and_date, :id, :title, :post_date order :by_post_date, :post_date limit :top10, 10 end end Post.with_few_comments.with_title_and_date.by_post_date.top10 # SELECT id, title, post_date # FROM posts # ORDER BY post_date # LIMIT 10
One advantage of using these methods inside dataset_module blocks, instead of defining methods manually, is that the created methods will generally cache the resulting values and result in better performance.
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 an 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 by default:
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
Please see the testing guide for recommendations on testing applications that use Sequel, as well as the how to run the tests for Sequel itself.
New major versions of Sequel do not have a defined release policy, but historically have occurred once every few years.
New minor versions of Sequel are released around once a month near the start of the month.
New tiny versions of Sequel are only released to address security issues or regressions in the most current release.
Sequel fully supports the currently supported versions of Ruby (MRI) and JRuby. It may support unsupported versions of Ruby or JRuby, but such support may be dropped in any minor version if keeping it becomes a support issue. The minimum Ruby version required to run the current version of Sequel is 1.9.2, and the minimum JRuby version is 9.0.0.0.
Jeremy Evans <[email protected]>