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rc for skip of literal binds

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collerek
2020-11-12 11:08:27 +01:00
parent c8586e5b8e
commit f91dfd3d61
1 changed files with 22 additions and 18 deletions
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40
docs_src/queries/docs009.py
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@ -1,29 +1,33 @@
# 1. like in example above # 1. like in example above
await Car.objects.select_related("manufacturer").fields( await Car.objects.select_related('manufacturer').fields(['id', 'name', 'manufacturer__name']).all()
["id", "name", "manufacturer__name"]
).all()
# 2. to mark a field as required use ellipsis # 2. to mark a field as required use ellipsis
await Car.objects.select_related("manufacturer").fields( await Car.objects.select_related('manufacturer').fields({'id': ...,
{"id": ..., "name": ..., "manufacturer": {"name": ...}} 'name': ...,
).all() 'manufacturer': {
'name': ...}
}).all()
# 3. to include whole nested model use ellipsis # 3. to include whole nested model use ellipsis
await Car.objects.select_related("manufacturer").fields( await Car.objects.select_related('manufacturer').fields({'id': ...,
{"id": ..., "name": ..., "manufacturer": ...} 'name': ...,
).all() 'manufacturer': ...
}).all()
# 4. to specify fields at last nesting level you can also use set - equivalent to 2. above # 4. to specify fields at last nesting level you can also use set - equivalent to 2. above
await Car.objects.select_related("manufacturer").fields( await Car.objects.select_related('manufacturer').fields({'id': ...,
{"id": ..., "name": ..., "manufacturer": {"name"}} 'name': ...,
).all() 'manufacturer': {'name'}
}).all()
# 5. of course set can have multiple fields # 5. of course set can have multiple fields
await Car.objects.select_related("manufacturer").fields( await Car.objects.select_related('manufacturer').fields({'id': ...,
{"id": ..., "name": ..., "manufacturer": {"name", "founded"}} 'name': ...,
).all() 'manufacturer': {'name', 'founded'}
}).all()
# 6. you can include all nested fields but it will be equivalent of 3. above which is shorter # 6. you can include all nested fields but it will be equivalent of 3. above which is shorter
await Car.objects.select_related("manufacturer").fields( await Car.objects.select_related('manufacturer').fields({'id': ...,
{"id": ..., "name": ..., "manufacturer": {"id", "name", "founded"}} 'name': ...,
).all() 'manufacturer': {'id', 'name', 'founded'}
}).all()