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.
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