14π
The 2 models in your example are represented with 3 tables: book
, keyword
and book_keyword
relation table to manage M2M field.
When you use keywords__name
in filter call Django is using SQL JOIN to merge all 3 tables. This allows you to filter objects in 1st table by values from another table.
The SQL will be like this:
SELECT `book`.`id`,
`book`.`name`
FROM `book`
INNER JOIN `book_keyword` ON (`book`.`id` = `book_keyword`.`book_id`)
INNER JOIN `keyword` ON (`book_keyword`.`keyword_id` = `keyword`.`id`)
WHERE (`keyword`.`name` LIKE %fiction%)
After JOIN your data looks like
| Book Table | Relation table | Keyword table |
|---------------------|------------------------------------|------------------------------|
| Book ID | Book name | relation_book_id | relation_key_id | Keyword ID | Keyword name |
|---------|-----------|------------------|-----------------|------------|-----------------|
| 1 | Book 1 | 1 | 1 | 1 | Science-fiction |
| 1 | Book 1 | 1 | 2 | 2 | Fiction |
| 2 | Book 2 | 2 | 2 | 2 | Fiction |
Then when data is loaded from DB into Python you only receive data from book
table. As you can see the Book 1 is duplicated there
This is how Many-to-many relation and JOIN works
4π
Direct quote from the Docs: https://docs.djangoproject.com/en/dev/topics/db/queries/#spanning-multi-valued-relationships
Successive filter() calls further restrict the
set of objects, but for multi-valued relations, they apply to any
object linked to the primary model, not necessarily those objects that
were selected by an earlier filter() call.
In your case, because keywords
is a multi-valued relation, your chain of .filter()
calls filters based only on the original model and not on the previous queryset.
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