ソーシャルゲームにおけるMongoDB適用事例 - Animal LandMongo Tokyo 2012で発表した資料。 Animal LandでMongoDBを利用する際に考慮した点などなど。Read less
MongoDB, Mongoid and Map/Reduce
I’ve been experimenting with MongoDB’s map-reduce, called from Ruby, as a replacement for Ruby’s Enumerable methods (map/collect, inject). It’s faster. Much faster. Next, the details but first – the disclaimers: My database is not optimised (using, e.g. indices) My non-map/reduce code is not optimised; I’m sure there are better ways to perform database queries and use Enumerable than those in this
Treasure Data Blog • Real-Time Log Collection with Fluentd and MongoDB
Tweet About This post shows how to use Fluentd-MongoDB plugin to aggregate semi-structured logs in real-time. Background Fluentd is an advanced open-source log collector developed at Treasure Data, Inc (see previous post). Because Fluentd handles logs as semi-structured data streams, the ideal database should have strong support for semi-structured data. There are several databases that meet this
Data Modeling - MongoDB Manual v7.0
Data modeling refers to the organization of data within a database and the links between related entities. Data in MongoDB has a flexible schema model, which means: Documents within a single collection are not required to have the same set of fields. A field's data type can differ between documents within a collection. Generally, documents in a collection share a similar structure. To ensure consi
BPStudy #42 MongoDB and MyBike.JP and Me
1. The document discusses MongoDB configuration and operations. It describes reconfiguring a MongoDB replica set with 3 members and monitoring the state of the members. 2. Examples are provided for saving, updating and querying MongoDB documents using the shell. 3. GridFS is introduced for storing and retrieving files larger than 16MB in MongoDB.Read less
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map-reduce using mongoid @ Will's Web Miscellany
MongoDB Schema Design: Data as Documents
minimongo
