MongoDB for Developers with Python Transcripts
Chapter: Working with MongoDB directly from Python: PyMongo
Lecture: Mapping MongoDB's JavaScript API to to PyMongo
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0:01
Now, when you go to mongodb.com and you look through the documentation
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so docs.mongodb.com, you will find stuff about updates and inserts,
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and queries and aggregation and so on, and so on;
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all of these are going to be in the Javascript api,
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notice at the bottom of this web page here, db.collection.insertOne
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is new in version 3.2, so if you're trying to look up these operations
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you will most likely find them in the Javascript style, and the Javascript api,
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that's how MongoDB talks about it, you'll probably find them on Stack Overflow.
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So, because that's the way the shell works, MongoDB is kind of standardized
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on here is how we're going to do our documentation in Javscript,
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once again, yet another reason we spent so much time on the Javascript api,
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even though none of us are necessarily Javascript developers.
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So, here we have the crud operations, now we have the query
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and projection operators and things like that,
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so if you want to know how to map these over to PyMongo,
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then there's one page really that you need for most things,
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and that's the collection documentation.
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So over here at api.mongodb.com/python/current/api/pymongo/collection.html
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you can see right at the top, we've got all of the stuff you can do
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on the collection itself, so for example, we were passing one and minus one
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as the sorting operators in the shell,
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here you could say pymongo.ascending, pymongo.descending,
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a little bit more explicit, but this is a really good place to go
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because you'll find like the insert_one and the find_one and all the various ways
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in which you need to adapt the documentation you find in Javascript
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over to the PyMongo api, this is probably the biggest bang for the buck right here.
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Okay, so if you want to write an app,
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PyMongo could totally be your data access layer,
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it would completely solve the problem, it's really great,
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it's what a lot of applications use to talk to MongoDB from Python.
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We're going to talk about some additional things going forward
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but one of the bigger decisions you need to make is
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are you going to use an odm that maps classes to MongoDB,
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with additional features as we'll see in a lot of interesting ways,
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or are you going to work down at the dictionary level,
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it's very similar to say I'm going to work with say the DB api and sql strings,
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versus SQLAlchemy or Django orm or something like that, right.
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So, you kind of got the low level way to talk to MongoDB,
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now, we're going to move on to talk about document design
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and mapping higher level objects like classes with MongoEngine later In the course.
