如何使用 pymongo 在 mongoDB 中创建通配符文本索引？

Question

I know wildcard text index in mongoDB can be created in shell using:

db.collection.createIndex( { "$**": "text" } )

And to create a index in pymongo:

db[COLLECTION].create_index(index_name, index)

I don't know how to create a wildcard index in pymongo. Can anybody help?

Answer 1

Signature: db.a.create_index(keys, **kwargs)

Docstring: Creates an index on this collection .

Takes either a single key or a list of (key, direction) pairs. The key(s) must be an instance of :class: basestring (:class: str in python 3), and the direction(s) must be one of (:data: ~pymongo.ASCENDING , :data: ~pymongo.DESCENDING , :data: ~pymongo.GEO2D , :data: ~pymongo.GEOHAYSTACK , :data: ~pymongo.GEOSPHERE , :data: ~pymongo.HASHED , :data: ~pymongo.TEXT ).

To create a text index on all fields, we just use a list of a single tuple containing field and direction as argument:

import pymongo

db.collection.create_index([("$**", pymongo.TEXT)])

print(list(db.collection.list_indexes()))

Answer 2

I am trying to crate index using pymongo and running below command db.coll.create_Index([("$**", pymongo.TEXT)] ,unique= True)

But I am getting the error

TypeError: 'Collection' object is not callable. If you meant to call the 'create_Index' method on a 'Collection' object it is failing because no such method exists.

How to solve it