Oct 7, 2017
Code review or peer review is the process of systematically reviewing each others code/work for mistakes, errors and quality. It is a fundamental and highly effective process to increase quality in software development.
I use the following checklist and questions when reviewing the work of others and it has proven to be very useful:
▢ Objective based
Objective based # The code achieves its purpose.
Jul 13, 2017
Mendix applications can accumulate large sets of data originating from various sources and created for various reasons. In order to work efficiently with large datasets extra attention to performance is needed. This post will provide recommendations for speed and performance when modelling manipulations of large datasets.
Use batches (limits and offsets) # Batches are the execution of actions each on a set or “batch” of inputs, rather than a single input.
Jul 5, 2017
A commit message is a communication between you and your co-developers. Creating a habit of writing good commit messages serves many purposes and can save everyone a great amount of time and frustration.
The good, the bad and the ugly # A good commit message serves several purposes:
Explanation of the commit (the what and why) Speed up the reviewing process Writing release notes Future maintenance and reference Information for merging Writing a good commit message does not happen by accident, however a bad and ugly one happens by default.
Jun 1, 2017
Configuring the security of a Mendix application is an important but sometimes tedious task. Misunderstanding of how security is applied by the Mendix platform can lead to failing security with great consequences. It is the developers task to constrain each entity with access rules. This post is a quick guide to setting up security in the context of inheritance.
Knowledge of How to: Create a secure app and Security Best Practices and Improvements for Mendix Applications is assumed.
Aug 17, 2016
The Mendix platform queries the entire hierarchy when retrieving the specialisation from the database, in order to guarantee a consistent data structure. When retrieving the generalisation it will also retrieve the entire hierarchy. Thus, developers should never retrieve a specialisation from database if the generalisation is already available. Use Cast Object with an inheritance split to get the specialised members of the object. This is much faster.
Inheritance # A specialisation is an entity that inherits attributes, associations, events etc.
Aug 12, 2016
Scheduled Events (SE) allow you to execute microflows at a specific time. These events can be repeated based on an interval (e.g. every day). The Mendix platform calculates when the next iteration of an event should occur based on fixed intervals. These intervals are configured by the developer but the execution of these intervals might not meet expectations. For example, an event scheduled at monthly interval will run every 31 days instead of every month.
Feb 19, 2016
Analytics are essential in monitoring and reacting to traffic and usage of your application. The widget for Google Analytics in the Mendix Appstore lets you track events, pages and transactions, but can be time-consuming to configure. With Google Tag Manager you can launch new tags with a few clicks. Instead of adding new events in Mendix, the Google Tag Manager allows marketers to add new tags without the need for changes to the model and deployments of Mendix.
Jan 31, 2016
End-users expect fast and engaging web experiences. Yet the application landscape is becoming more complex. Your Mendix application can meet these rising expectations and impress users on both desktop and mobile devices. Learn how to locate and analyse performance issues, improve application performance and gain insight in how design decisions impact your application. This post is a comprehensive reference guide for developers to optimize their applications.
Introduction # Performance is vital to creating a successful fit-for-use application.
Dec 11, 2015
In the previous post (semantics of XPath expressions), the semantics of different XPath notations were discussed. Part 2 will be an in-depth analyses of the SQL queries generated by Mendix for each of the XPath expressions. Furthermore it will shed some light on why these XPath expressions return a different data set. If you haven’t read part 1 yet, please do.
The data and XPath expressions used # First a quick recap of the data used and discussed in part 1.
Nov 25, 2015
XPath expressions can be added to any XPath query in Mendix to constrain the queried Mendix object. The XPath expression can be a combination of variables, operations, functions, keywords and system variables. This post will focus on the semantics of certain XPath expressions with the AND-operator. A seemingly small change in the notation of an XPath expression using this operator can have a huge impact on the retrieved data.
Different notations of XPath expressions # Consider the following scenario, a team has multiple members (employees) and each employee can speak multiple languages.