Cfrgtkky

I'm currently setting up a database for solar active regions and one of the columns is supposed to get the region number which, for now, I have declared in the following way:

noaa_number = sql.Column(sql.Integer, nullable=True)

However, since a new number may be assigned as the region evolves, which column type would better support a list to keep all the numbers that a given region is given? So instead of having an entry like:

noaa_number = 12443

I could have my result stored as:

#a simple entry

noaa_number = [12443]

#or multiple results

noaa_number = [12444,12445]

Where these elements in the list would be integers.

I was checking the documentation and the best idea I had was to place this column as a string and parse all the numbers out of it. While that would work just fine I was wondering if there is a better and more appropriate way of doing so.

In some cases you can use array column. This is really not bad way to store very specific data. Example:

class Example(db.Model):

    id = db.Column(db.Integer, primary_key=True)

    my_array = db.Column(db.ARRAY(db.Integer())



# You can easily find records:

# Example.my_array.contains([1, 2, 3]).all()

# You can use text items of array

# db.Column(db.ARRAY(db.Text())

Also you can use CompositeArray (sqlalchemy_utils) to use custom database types as array items. Example:

# let's imagine that we have some meta history

history = db.Column(

        CompositeArray(

            CompositeType(

                'history',

                [

                    db.Column('message', db.Text),

                ]

             )

        )

# example of history type:

CREATE TYPE history AS (

   message text

);

Note! Not sure about sqlite but with postgres should works
fine.

Hope this helps.