问题
I have a collection with below data structure:
[{name: "123", category: "A"},
{name: "456", category: "B"},
{name: "789", category: "A"},
{name: "101", category: "C"}]
I want to be able to sort them according to the value of category
, by specifying which comes first. For example, sorting the query in the order of B->C->A, the result would yield:
[{name: "456", category: "B"},
{name: "101", category: "C"},
{name: "123", category: "A"},
{name: "789", category: "A"}]
Is there any good way of doing so with the mongo query API? I am using mongoengine
回答1:
The best way to do this is using the .aggregate() method and the $cond conditional operator to add a weight to your documents in the $project stage then use the $sort aggregation operator to sort your documents by weight.
pipeline = [{'$project': {'category': 1,
'name': 1,
'w': {'$cond': [{'$eq': ['$category', 'B']},
1,
{'$cond': [{'$eq': ['$category', 'C']},
2,
3]
}]
}
}},
{'$sort': {'w': 1}}
]
Model.aggregate(*pipeline)
Demo using PyMongo:
>>> import pprint
>>> import pymongo
>>> client = pymongo.MongoClient()
>>> collection = client['test']['collection']
>>> pipeline = [{'$project': {'category': 1,
... 'name': 1,
... 'w': {'$cond': [{'$eq': ['$category', 'B']},
... 1,
... {'$cond': [{'$eq': ['$category', 'C']},
... 2,
... 3]
... }]
... }
... }},
... {'$sort': {'w': 1}}
... ]
>>> pprint.pprint(list(collection.aggregate(pipeline=pipeline)))
[{'_id': ObjectId('571caa930e4f55302502a361'),
'category': 'B',
'name': '456',
'w': 1},
{'_id': ObjectId('571caa930e4f55302502a363'),
'category': 'C',
'name': '101',
'w': 2},
{'_id': ObjectId('571caa930e4f55302502a360'),
'category': 'A',
'name': '123',
'w': 3},
{'_id': ObjectId('571caa930e4f55302502a362'),
'category': 'A',
'name': '789',
'w': 3}]
回答2:
I think it is still not possible to provide a custom sorting function in MongoDB:
- https://jira.mongodb.org/browse/SERVER-153
You can though, as a workaround, sort in Python, mapping categories to numerical values that would actually be used to sort the documents:
from pprint import pprint
weights = {
"A": 2,
"B": 0,
"C": 1
}
docs = db.col.find()
pprint(sorted(docs, key=lambda item: weights.get(item["category"])))
来源:https://stackoverflow.com/questions/36797359/python-sort-mongodb-by-the-value-of-one-key