I want to execute a simple query like:
select *,count('id') from menu_permission group by menu_id
In Django format I have tried:
MenuPermission.objects.all().values('menu_id').annotate(Count('id))
It selects only menu_id. The executed query is:
SELECT `menu_permission`.`menu_id`, COUNT(`menu_permission`.`id`) AS `id__count` FROM `menu_permission` GROUP BY `menu_permission`.`menu_id`
But I need other fields also. If I try:
MenuPermission.objects.all().values('id','menu_id').annotate(Count('id))
It adds 'id' in group by condition.
GROUP BY `menu_permission`.`id`
As a result I am not getting the expected result. How I can get all all fields in the output but group by a single one?
A GROUP BY in Django is used with the AGGREGATE functions or the built-ins. The GROUP BY statement and aggregate functions like COUNT, MAX, MIN, SUM, AVG are used in a combo to group the result – set by one or more columns.
This is the model from Django’s built-in django. contrib. auth app. Counting rows is one of the Django functions on the Query Set. Number of rows in a table can be identified using the method of Count Rows. Here the key name is derived from the ‘Name of the field’ and the ‘Name of the aggregate’.
Django provides F expressions to allow such comparisons. Instances of F () act as a reference to a model field within a query. These references can then be used in query filters to compare the values of two different fields on the same model instance.
Once you’ve created your data models, Django automatically gives you a database-abstraction API that lets you create, retrieve, update and delete objects. This document explains how to use this API. Refer to the data model reference for full details of all the various model lookup options.
You can try subqueries to do what you need.
In my case I have two tables: Item
and Transaction
where item_id
links to Item
First, I prepare Transaction
subquery with group by item_id
where I sum all amount
fields and mark item_id
as pk for outer query.
per_item_total=Transaction.objects.values('item_id').annotate(total=Sum('amount')).filter(item_id=OuterRef('pk'))
Then I select all rows from item
plus subquery result as total
filed.
items_with_total=Item.objects.annotate(total=Subquery(per_item_total.values('total')))
This produces the following SQL:
SELECT `item`.`id`, {all other item fields}, (SELECT SUM(U0.`amount`) AS `total` FROM `transaction` U0 WHERE U0.`item_id` = `item`.`id` GROUP BY U0.`item_id` ORDER BY NULL) AS `total` FROM `item`
You are trying to achieve this SQL:
select *, count('id') from menu_permission group by menu_id
But normally SQL requires that when a group by clause is used you only include those column names in the select that you are grouping by. This is not a django matter, but that's how SQL group by works.
The rows are grouped by those columns so those columns can be included in select and other columns can be aggregated if you want them to into a value. You can't include other columns directly as they may have more than one value (since the rows are grouped).
For example if you have a column called "permission_code", you could ask for an array of the values in the "permission_code" column when the rows are grouped by menu_id.
Depending on the SQL flavor you are using, this could be in PostgreSQL something like this:
select menu_id, array_agg(permission_code), count(id) from menu_permissions group by menu_id
Similary django queryset can be constructed for this.
Hopefully this helps, but if needed please share more about what you need to do and what your data models are.
The only way currently that it works as expected is to hve your query based on the model you want the GROUP BY to be based on. In your case it looks like you have a Menu model (menu_id field foreign key) so doing this would give you what you want and will allow getting other aggregate information from your MenuPermission model but will only group by the Menu.id field:
Menu.objects.annotate(perm_count=Count('menupermission__id')).values('perm_count')
Of course there is no need for the "annotate" intermediate step if all you want is that single count.
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