MongoDB for Developers with Python Transcripts
Chapter: High-performance MongoDB
Lecture: Introducing performance-tuning in MongoDB
0:01 Now that you know how to work MongoDB, you know how to work its shell,
0:04 what the query syntax is, you've seen PyMongo as well as MongoEngine,
0:07 it's time to turn our attention to tuning MongoDB
0:11 to be the best database it can possibly be.
0:14 We're going to focus on how to make our regular MongoDB server
0:18 a high performance MongoDB database
0:21 and you'll see there's no magic here, a lot of the things that you can do
0:24 are relatively straightforward, and there's a systematic way to go about it.
0:29 I want to start this section by maybe putting a little perspective on it.
0:34 I want to start this section, this chapter, by putting a little perspective out there.
0:41 When people come to NoSql and they start looking for alternative databases
0:44 often the allure of these databases is their performance
0:49 you hear about things like sharding, horizontally scaling them,
0:52 some incredible performance numbers, things like that.
0:55 That may be what you really need, that may be the most important thing
0:58 and certainly if you don't have performance out of your database it's a big problem.
1:03 We're going to certainly figure out how to make our databases faster
1:07 and the variety of techniques that we have available to us in MongoDB.
1:11 That said, your biggest problem probably isn't performance,
1:14 you may have a big data problem, you may have terabytes or petabytes of data
1:19 but most applications don't.
1:22 You may have a performance problem, it may be that you have so much data
1:26 or you are asking such complex queries that it really does take
1:30 very precise tuning and scaling to make it work.
1:33 So we're going to focus on some of these types of things.
1:36 That said, we all have a complexity problem with our application,
1:40 it's always a pain to maintain these databases
1:43 especially when we're working with relational databases,
1:46 you hear about things like migrations and updating your schema
1:49 adding, removing, transforming columns, all of this stuff is really complex
1:53 and it even makes deployment really, really challenging,
1:56 you want to release a new version of something based on SQLAlchemy
1:59 but you need to change the database scheme before it will even run—
2:02 okay, that sounds like it could be a little bit of a problem.
2:05 What you'll see with MongoDB and these document databases is
2:10 one of their biggest benefits is the simplicity that they bring.
2:14 The document structure means there's fewer tables,
2:18 there is much fewer connections between these tables,
2:21 so when you think about the trade-offs and performance and things like that
2:24 keep in mind that probably the biggest benefit
2:27 that you are going to get from MongoDB is you are going to have
2:30 simpler versioning, evolution, maintainability, development story.
2:33 I just want to put that out there, because I know sometimes
2:36 people will say well, I got MongoDB to perform at this speed
2:40 and I cut this other database, and if I tweak it like this and adapt it like that
2:44 maybe I could get it to go a little faster, so maybe we should use that instead.
2:47 And maybe, I don't know, it depends on the situation,
2:50 and this is very abstract, so it's hard to say, but keep in mind
2:53 that one of the biggest things these document databases
2:55 bring to you to the table here, is this simplicity.
2:59 It just so happens we can also make them really, really fast.
3:03 So simple and fast, sounds like a great combination,
3:05 so let's get into this section where we are going to make MongoDB much faster.