By Kristina Chodorow
Getting all started with MongoDB is simple, yet when you start development functions with it, you'll face a few complicated concerns. What are the tradeoffs among normalized and denormalized info? How do you deal with reproduction set failure and failover? This selection of MongoDB information, methods, and hacks is helping you unravel concerns with every little thing from software layout and implementation to info 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: dashing up your purposes
• Data security Tips: utilizing replication and journaling to maintain facts safe—without sacrificing an excessive amount of functionality
• Administration Tips: easy methods to configure MongoDB and retain it operating easily
Read Online or Download 50 Tips and Tricks for MongoDB Developers PDF
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Extra resources for 50 Tips and Tricks for MongoDB Developers
Sample text
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. However, if even one of the members that received the write was not segregated, the other members of the set would sync up to that write before electing a new master.
Your application should be able to handle being read-only for short periods (during a master election) and long periods (when a majority is down or partitioned). Regardless of whether there’s a master, you should be able to continue sending reads to whichever members of the set you can reach. Members may briefly go through an unreadable “recovering” phase during elections: members in this state will throw errors about not being masters or secondaries if your driver tries to read from them, and may be in this state so fleetingly that these errors slip in between the pings drivers send to the database.
MongoDB’s replication automatically copies all of your writes to other servers. If your current master goes down, you can bring up another server as the new master (this happens automatically with replica sets). If a member of a replica set shuts down uncleanly and it was not running with -journal, MongoDB makes no guarantees about its data (it may be corrupt). You have to get a clean copy of the data: either wipe the data and resync it or load a backup and fastsync. Journaling gives you data safety on a single server.
