It sounds like a pre_course is actually a regular course, a course can have many pre_courses and a pre_course can belong to many courses. A self referential has_many through relationship is possible and may give you more flexibility to work with your data than serializing it as an array.
You'll need a join model I'll call CoursePreCourse. It will have the columns course_id and pre_course_id. pre_course_id will be a foreign key for records on the courses table.
class CreateCoursePreCourses < ActiveRecord::Migration[5.1]
def change
create_table :course_pre_courses do |t|
t.references :course, foreign_key: true
t.references :pre_course, foreign_key: { to_table: :courses }
t.timestamps
end
end
end
class CoursePreCourse < ApplicationRecord
belongs_to :course
belongs_to :pre_course, class_name: 'Course'
end
class Course < ApplicationRecord
# A straight-forward has_many :through association for a course that has_many :pre_courses
has_many :course_pre_courses
has_many :pre_courses, through: :course_pre_courses
# A little coercion is necessary to set up the association as a pre_course that has_many :courses
has_many :pre_course_courses, class_name: 'CoursePreCourse', foreign_key: :pre_course_id
has_many :courses, through: :pre_course_courses
end
Now you can retrieve the courses that are pre_courses of any course with course.pre_courses. If you want to see if a course is a pre_course of other courses it's pre_course.courses. Similarly you can add a course to another course's pre_courses with either course.pre_courses << pre_course or pre_course.courses << course.
Do you ever say a word so many times it loses its meaning?
Course.where(" '#{self.id}' = ANY (pre_courses)")Course.includes(:pre_courses).where.not(pre_courses: {id: nil} ")orCourse.includes(:pre_courses).where.not(pre_courses: {id: nil} ").find(self.id)serializewith a separate table.LIKEtend to be very slow with many columns and are hard to optimize. As soon as I need to query by a serialized data column withLIKEI would consider another data structure: Perhaps a JSON or a normalized table structure.