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Tag Archives: MongoDB

Single Page Application with Angular.js, Node.js and MongoDB (MongoJS Module)

The current post is a proof of concept towards making a web application with a Javascript based Web Server. This technological stack is popularly known as MEAN Stack. To make this possible, we have selected the following technologies Angular.js for client side development – Single Page Application Cross Domain Communication in between Angular.js and Node.js Node.js for server side development Rest ...

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MongoDB and the fine art of data modelling

Introduction This is the third part of our MongoDB time series tutorial, and this post will emphasize the importance of data modelling. You might want to check the first part of this series, to get familiar with our virtual project requirements and the second part talking about common optimization techniques. When you first start using MongoDB, you’ll immediately notice it’s ...

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A beginner’s guide to MongoDB performance turbocharging

Introduction This is the second part of our MongoDB time series tutorial, and this post will be dedicated to performance tuning. In my previous post, I introduced you into our virtual project requirements. In short we have 50M time events, spanning from the 1st of January 2012 to the 1st of January 2013, with the following structure:       ...

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MongoDB time series: Introducing the aggregation framework

In my previous posts I talked about batch importing and the out-of-the-box MongoDB performance. Meanwhile, MongoDB was awarded DBMS of the year, so I therefore decided to offer a more thorough analyze of its real-life usage. Because theory is better understood in a pragmatic context, I will first present you our virtual project requirements. Introduction     Our virtual project ...

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MongoDB “Lightning Fast Aggregation” Challenged with Oracle

What does “Scale” even mean in the context of databases? When talking about scaling, people have jumped to the vendor-induced conclusion that: SQL doesn’t scale NoSQL scales It is very obvious that NoSQL vendors make such claims. It has also been interesting that many NoSQL consumers made such claims, even if they probably confused SQL in general with MySQL in ...

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MongoDB Facts: Lightning speed aggregation

In my previous post, I demonstrated how fast you can insert 50 millions time-event entries with MongoDB. This time we will make use of all that data to fuel our aggregation tests. This is how one time-event entry looks like:             { "_id" : ObjectId("529a2a988cccdb538932d31f"), "created_on" : ISODate("2012-05-02T06:08:47.835Z"), "value" : 0.9270193106494844 } Beside the default ...

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Create a simpe RESTful service with vert.x 2.0, RxJava and mongoDB

A new article after an hiatus of almost half a year. In this article we’ll have quick look at how you can get started with vert.x and more interestingly how you can use RxJava to make programming asynchronous systems a lot easier. We’ll cover the following subjects: Create an empty vert.x project using maven Import in IntelliJ and create a ...

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MongoDB Facts: 80000+ inserts/second on commodity hardware

While experimenting with some time series collections I needed a large data set to check that our aggregation queries don’t become a bottleneck in case of increasing data loads. We settled for 50 million documents, since beyond this number we would consider sharding anyway. Each time event looks like this:           { "_id" : ObjectId("5298a5a03b3f4220588fe57c"), "created_on" ...

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Spring Data MongoDB cascade save on DBRef objects

Spring Data MongoDB by default does not support cascade operations on referenced objects with @DBRef annotations as reference says: The mapping framework does not handle cascading saves. If you change an Account object that is referenced by a Person object, you must save the Account object separately. Calling save on the Person object will not automatically save the Account objects ...

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Auditing Entities in Spring Data MongoDB

Spring Data MongoDB 1.2.0 silently introduced new feature: support for basic auditing. Because you will not find too much about it in official reference in this post I will show what benefits does it bring, how to configure Spring for auditing and how to annotate your documents to make them auditable Auditing let you declaratively tell Spring to store: date ...

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