The New Bulk API One of the core new features in MongoDB 2.6 is the new bulk write operations. All the drivers include a new bulk api that allows applications to leverage these new operations using a fluid style API. Let’s explore the API and how it’s implemented in the Node.js driver. The API The API have two core concepts. The ordered and the unordered bulk operation. The main difference is in the way the operations in a bulk are executed.
Mongo Driver and Mongo DB 2.6 Features MongoDB 2.6 introduces some new powerful features that are reflected in the 1.4 driver release. These include. Aggregation cursors Per query timeouts maxTimeMS Ordered and Unordered bulk operations A parallelCollectionScan command for fast reading of an entire collection Integrated text search in the query language Moreover the driver includes a whole slew of minor and major bug fixes and features. Some of the more noteworthy features include.
I gave the presentation “Lessons from 4 years of driver develoment“ at JSConf EU 2013 in Berlin. The presentation is a summary of my four years of experience writing a successful open source project and all the good and bad experiences I’ve had over the last years in relation to this. Lessons from 4 years of driver develoment The video is also available Lessons from 4 years of driver develoment
At FOSDEM 2013 I gave a talk about MongoDB internals, going through how the database physically stores data in memory and disk and why you should learn about the internals of the database you use in production to let you get the maximum performance out of it and to be better able to diagnose issues in production. How does mongodb store my data
The wonderful world of GEO spatial indexes in MongoDB MongoDB has native support for geospatial indexes and extensions to the query language to support a lot of different ways of querying your geo spatial documents. We will touch on a all of the available features of the MongoDB geospatial support point by point as outlined below. Query $near a point with a maximum distance around that point Set the minimum and maximum range for the 2d space letting you map any data to the space GeoNear command lets you return the distance from each point found $within query lets you set a shape for you query letting you use a circle, box or arbitrary polygon, letting you map complex geo queries such as congressional districts or post code zones.
A primer for GridFS using the Mongo DB driver In the first tutorial we targeted general usage of the database. But Mongo DB is much more than this. One of the additional very useful features is to act as a file storage system. This is accomplish in Mongo by having a file collection and a chunks collection where each document in the chunks collection makes up a Block of the file.
The Node.js MongoDB driver was started in 2009 and has grown to become one of the most popular database drivers for the Node.js Platform. MongoDB is a document database that allows the storage of documents in json format. It’s main benefits come from it’s ability to store unstructured data while maintaining traditional databases ability to query and index the document efficiently. MongoDb also provides a whole scaling up path. A whole ecosystem has sprung out on top of the driver including ODM mappers such as Mongoose and whole frameworks such as Meteor (a fantastic real time framework).