February 10, 2018

50 Tips and Tricks for MongoDB Developers by Kristina Chodorow PDF

By Kristina Chodorow

ISBN-10: 1449304613

ISBN-13: 9781449304614

Getting all started with MongoDB is simple, yet when you commence development purposes with it, you'll face a few complicated concerns. What are the tradeoffs among normalized and denormalized facts? How do you deal with copy set failure and failover? This number of MongoDB suggestions, methods, and hacks is helping you unravel concerns with every thing from program layout and implementation to info safeguard and monitoring.

You get particular assistance in 5 subject components without delay from engineers at 10gen, the corporate that develops and helps this open resource database:
Application layout Tips: What to bear in mind whilst designing your schema
Implementation Tips: Programming functions opposed to MongoDB
Optimization Tips: rushing up your functions
Data defense Tips: utilizing replication and journaling to maintain facts safe—without sacrificing an excessive amount of functionality
Administration Tips: find out how to configure MongoDB and maintain it operating easily

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Extra info for 50 Tips and Tricks for MongoDB Developers

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Add more RAM Adding more RAM means you have to hit disk less. However, adding RAM will only get you so far—at some point, your data isn’t going to fit in RAM anymore. ) of data on disk, but program an application that will mostly access data already in memory and move data from disk to memory as infrequently as possible? If you literally access all of your data randomly in real time, you’re just going to need a lot of RAM. However, most applications don’t: recent data is accessed more than older data, certain users are more active than others, certain regions have more customers than others.

They will be identical to the master a minute ago, a few seconds ago, a week ago, etc. They will not be missing random operations. runCommand({"getlasterror" : 1, "w" : num}) So, the question from an application developer’s point-of-view is: what do I set w to? ” However, writing to a minority of the set can also have its uses. ” If this minority is segregated from the set through network partition or server failure, the majority of the set could elect a new primary and not see the operation that was faithfully replicated to w servers.

If DC1 goes down, you can either make the backup machine master, or use its data to re-seed the machines in DC1. If both data centers go down, you at least have a backup in DC2 that you can bootstrap everything from. Another safe setup for five servers is shown in Figure 4-2. This is a slightly more robust setup than above: there are secondaries in both data centers, a delayed member to protect against user error, and a journaled member for backup. info Figure 4-1. A primary (P), secondary (S), and backup server run with journaling (B).

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50 Tips and Tricks for MongoDB Developers by Kristina Chodorow


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