By Kristina Chodorow
Getting all started with MongoDB is simple, yet when you commence development functions with it, you'll face a few advanced matters. What are the tradeoffs among normalized and denormalized info? How do you deal with copy set failure and failover? This choice of MongoDB information, tips, and hacks is helping you get to the bottom of matters with every thing from program layout and implementation to facts safeguard and monitoring.
You get particular advice in 5 subject parts 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 protection Tips: utilizing replication and journaling to maintain info safe—without sacrificing an excessive amount of functionality
• Administration Tips: how one can configure MongoDB and hold it working easily
Read or Download 50 Tips and Tricks for MongoDB Developers PDF
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Extra resources for 50 Tips and Tricks for MongoDB Developers
A write could try to push something onto a non-array field, cause a duplicate key exception (trying to store two documents with the same value in a uniquely indexed field), remove an _id field, or a million other user errors. You’ll want to know that the write isn’t valid before you deploy. One insidious error is running out of disk space: all of a sudden queries are mysteriously returning less data. This one is tricky if you are not using safe writes, as free disk space isn’t something that you usually check.
Tip #20: Handle replica set failure and failover Your application should be able to handle all of the exciting failure scenarios that could occur with a replica set. Suppose your application throws a “not master” error. There are a couple possible causes for this error: your set might be failing over to a new primary and you have to handle the time during the primary’s election gracefully. The time it takes for an election varies: it’s usually a few seconds, but if you’re unlucky it could be 30 seconds or more.
Info Figure 4-1. A primary (P), secondary (S), and backup server run with journaling (B). Figure 4-2. A primary (P), two secondaries (S), one slave-delayed backup, and a journaled backup (B). Tip #31: Do not depend on repair to recover data If your database crashes and you were not running with --journal, do not use that server’s data as-is. It might seem fine for weeks until you suddenly access a corrupt document which causes your application to go screwy. Or your indexes might be messed up so you only get partial results back from the database.