ActiveRecord::HierarchicalQuery
Create hierarchical queries using simple DSL, recursively traverse trees using single SQL query.
If a table contains hierarchical data, then you can select rows in hierarchical order using hierarchical query builder.
Requirements
- ActiveRecord >= 5.0, < 8
- PostgreSQL >= 8.4
- Postgres Gem >= 0.21, < 1.5
Note that though PostgresSQL 8.4 and up should work, this library is tested on PostgresSQL 15.1.
In a nutshell
Traverse trees
Let's say you've got an ActiveRecord model Category
that related to itself:
class Category < ActiveRecord::Base
belongs_to :parent, class_name: 'Category'
has_many :children, foreign_key: :parent_id, class_name: 'Category'
end
# Table definition
# create_table :categories do |t|
# t.integer :parent_id
# t.string :name
# end
Traverse descendants
Category.join_recursive do |query|
query.start_with(parent_id: nil)
.connect_by(id: :parent_id)
.order_siblings(:name)
end # returns ActiveRecord::Relation instance
Traverse ancestors
Category.join_recursive do |query|
query.start_with(id: 42)
.connect_by(parent_id: :id)
end
Show breadcrumbs using single SQL query
records = Category.join_recursive do |query|
query
# assume that deepest node has depth=0
.start_with(id: 42) { select('0 depth') }
# for each ancestor decrease depth by 1, do not apply
# following expression to first level of hierarchy
.select(query.prior[:depth] - 1, start_with: false)
.connect_by(parent_id: :id)
end.order('depth ASC')
# returns a regular ActiveRecord::Relation instance
# so methods like `pluck` all work as expected.
crumbs = records.pluck(:name).join(' / ')
Installation
Add this line to your application's Gemfile:
gem 'activerecord-hierarchical_query'
And then execute:
$ bundle
Or install it yourself as:
$ gem install activerecord-hierarchical_query
You'll then need to require the gem:
require 'active_record/hierarchical_query'
Alternatively, the require can be placed in the Gemfile
:
gem 'activerecord-hierarchical_query', require: 'active_record/hierarchical_query'
Usage
Let's say you've got an ActiveRecord model Category
with
attributes id
, parent_id
and name
. You can traverse nodes
recursively starting from root rows connected by parent_id
column ordered by name
:
Category.join_recursive do
start_with(parent_id: nil).
connect_by(id: :parent_id).
order_siblings(:name)
end
Hierarchical queries consist of these important clauses:
- START WITH clause
This clause specifies the root row(s) of the hierarchy.
- CONNECT BY clause
This clause specifies relationship between parent rows and child rows of the hierarchy.
- ORDER SIBLINGS clause
This clause specifies an order of rows in which they appear on each hierarchy level.
These terms are borrowed from Oracle hierarchical queries syntax.
Hierarchical queries are processed as follows:
First, root rows are selected -- those rows that satisfy
START WITH
condition in order specified byORDER SIBLINGS
clause. In example above it's specified by statementsquery.start_with(parent_id: nil)
andquery.order_siblings(:name)
.Second, child rows for each root rows are selected. Each child row must satisfy condition specified by
CONNECT BY
clause with respect to one of the root rows (query.connect_by(id: :parent_id)
in example above). Order of child rows is also specified byORDER SIBLINGS
clause.Successive generations of child rows are selected with respect to
CONNECT BY
clause. First the children of each row selected in step 2 selected, then the children of those children and so on.
START WITH
This clause is specified by start_with
method:
Category.join_recursive { start_with(parent_id: nil) }
Category.join_recursive { start_with { where(parent_id: nil) } }
Category.join_recursive { start_with { |root_rows| root_rows.where(parent_id: nil) } }
All of these statements are equivalent.
CONNECT BY
This clause is necessary and specified by connect_by
method:
# join parent table ID columns and child table PARENT_ID column
Category.join_recursive { connect_by(id: :parent_id) }
# you can use block to build complex JOIN conditions
Category.join_recursive do
connect_by do |parent_table, child_table|
parent_table[:id].eq child_table[:parent_id]
end
end
ORDER SIBLINGS
You can specify order in which rows on each hierarchy level should appear:
Category.join_recursive { order_siblings(:name) }
# you can reverse order
Category.join_recursive { order_siblings(name: :desc) }
# arbitrary strings and Arel nodes are allowed also
Category.join_recursive { order_siblings('name ASC') }
Category.join_recursive { |query| query.order_siblings(query.table[:name].asc) }
WHERE conditions
You can filter rows on each hierarchy level by applying WHERE
conditions:
Category.join_recursive do
connect_by(id: :parent_id).where('name LIKE ?', 'ruby %')
end
You can even refer to parent table, just don't forget to include
columns in SELECT
clause!
Category.join_recursive do |query|
query.connect_by(id: :parent_id)
.select(:name).
.where(query.prior[:name].matches('ruby %'))
end
Or, if Arel semantics does not fit your needs:
Category.join_recursive do |query|
query.connect_by(id: :parent_id)
.where("#{query.prior.name}.name LIKE ?", 'ruby %')
end
NOCYCLE
Recursive query will loop if hierarchy contains cycles (your
graph is not acyclic). NOCYCLE
clause, which is turned off by
default, could prevent it.
Loop example:
node_1 = Category.create
node_2 = Category.create(parent: node_1)
node_1.parent = node_2
node_1.save
node_1
and node_2
now link to each other, so the following
query will not terminate:
Category.join_recursive do |query|
query.connect_by(id: :parent_id)
.start_with(id: node_1.id)
end
#nocycle
method will prevent endless loop:
Category.join_recursive do |query|
query.connect_by(id: :parent_id)
.start_with(id: node_1.id)
.nocycle
end
DISTINCT
By default, the union term in the Common Table Expression uses a
UNION ALL
. If you want to SELECT DISTINCT
CTE values, add a
query option for distinct
:
Category.join_recursive do |query|
query.connect_by(id: :parent_id)
.start_with(id: node_1.id)
.distinct
end
If you want to join CTE terms by UNION DISTINCT
, pass an option
to join_recursive
:
Category.join_recursive(union_type: :distinct) do |query|
query.connect_by(id: :parent_id)
.start_with(id: node_1.id)
end
Generated SQL queries
Under the hood this extensions builds INNER JOIN
to recursive subquery.
For example, this piece of code
Category.join_recursive do |query|
query.start_with(parent_id: nil) { select('0 LEVEL') }
.connect_by(id: :parent_id)
.select(:depth)
.select(query.prior[:LEVEL] + 1, start_with: false)
.where(query.prior[:depth].lteq(5))
.order_siblings(:position)
.nocycle
end
Would generate following SQL:
SELECT "categories".*
FROM "categories" INNER JOIN (
WITH RECURSIVE "categories__recursive" AS (
SELECT depth,
0 LEVEL,
"categories"."id",
"categories"."parent_id",
ARRAY["categories"."position"] AS __order_column,
ARRAY["categories"."id"] AS __path
FROM "categories"
WHERE "categories"."parent_id" IS NULL
UNION ALL
SELECT "categories"."depth",
"categories__recursive"."LEVEL" + 1,
"categories"."id",
"categories"."parent_id",
"categories__recursive"."__order_column" || "categories"."position",
"categories__recursive"."__path" || "categories"."id"
FROM "categories" INNER JOIN
"categories__recursive" ON "categories__recursive"."id" = "categories"."parent_id"
WHERE ("categories__recursive"."depth" <= 5) AND
NOT ("categories"."id" = ANY("categories__recursive"."__path"))
)
SELECT "categories__recursive".* FROM "categories__recursive"
) AS "categories__recursive" ON "categories"."id" = "categories__recursive"."id"
ORDER BY "categories__recursive"."__order_column" ASC
If you want to use a LEFT OUTER JOIN
instead of an INNER JOIN
,
add a query option for outer_join_hierarchical
. This
option allows the query to return non-hierarchical entries:
.join_recursive(outer_join_hierarchical: true)
If, when joining the recursive view to the main table, you want to change the foreign_key on the recursive view from the primary key of the main table to another column:
.join_recursive(foreign_key: another_column)
Related resources
- About hierarchical queries (Wikipedia)
- Hierarchical queries in Oracle
- Recursive queries in PostgreSQL
- Using Recursive SQL with ActiveRecord trees
Contributing
Read through the short contributing guide.