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22 sty 2018 · Using pymongo you can do this to search: collection.find({"$text": {"$search": your search}}) your function should look like this: def search_for_videos(search_text): collection.find({"$text": {"$search": search_text}}).limit(10) I hope this helps you.
16 sie 2011 · The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo. PyMongo supports MongoDB 3.6, 4.0, 4.2, 4.4, 5.0, 6.0, 7.0, and 8.0.
mongodbsearch is a lightweight and easy to implement full-text indexing and search library for Python and Mongo. If the number of documents will limited to a reasonable number (e.g. < 100k), this library should work really well for you. Requirements. MongoDB. Python 2.6+ (I haven't tested on Python 3.x but is should work) pymongo. Examples.
PyMongo is a Python distribution containing tools for working with MongoDB, and is the recommended way to work with MongoDB from Python. This documentation attempts to explain everything you need to know to use PyMongo. Installing / Upgrading. Instructions on how to get the distribution.
Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Programmers can use it to easily add search functionality to their applications and websites. Every part of how Whoosh works can be extended or replaced to meet your needs exactly.
30 cze 2017 · If you want to use all the benefits of MongoDB's full-text search AND want partial matches (maybe for auto-complete), the n-gram based approach mentioned by Shrikant Prabhu was the right solution for me.
Atlas Search also offers common analyzers for parsing text for full-text search, including support for over 40 language-specific analyzers. MongoDB offers robust text search capabilities for hosted deployments, include fine-grained indexing and a rich query language.
