Tag Archives: database

Current talk list 2016: web and database performance

It’s that time of the year where, for me, talk proposals are submitted. I also tend to take it as an opportunity to refresh and rework talks.

This year I’ve submitted talks for DDD, DDD North, and NDC London (this one’s a bit of a long shot), and am keeping my eye out for other opportunities. I’ll also be giving talks at the Derbyshire .NET User Group, and DDD Nights in Cambridge in the autumn.

Voting for both DDD and DDD North is now open so, if you’re interested in any of the talks I’ve listed below, please do vote for them at the following links:

Here are my talks. If you’d like me to give any of them at a user group, meetup, or conference you run, please do get in touch.

Talk Title: How to speed up .NET and SQL Server web apps

Performance is a critical aspect of modern web applications. Recent developments in hardware, software, infrastructure, bandwidth, and connectivity have raised expectations about how the web should perform.

Increasingly this attitude is applied to internal line of business apps, and niche sites, as much as to large public-facing sites. Google even bases your search ranking in part on how well your site performs. Being slow is no longer an option.

Unfortunately, problems can occur at all layers and in all components of an application: database, back-end code, systems integrations, local and third party services, infrastructure, and even – increasingly – the client.

Complex apps often have problems in multiple areas. How do you go about tracking them down and fixing them? Where do you begin?

The answer is you deploy the right tools and techniques. The good news is that generally you can do this without changing your development process. Using a number of case studies I’m going to show you how to track down and fix performance issues. We’ll talk about the tools I used to find them, and the fixes that resulted.

That being said, prevention is better than cure, so I’ll also talk about how you can go about catching problems before they make it to production, and monitor to get earlier notification of trouble brewing.

By the end you should have a plethora of tools and techniques at your disposal that you can use in any performance analysis situation that might confront you.

Talk Title: Premature promotion produces poor performance: memory management in the CLR and JavaScript runtimes

The CLR, JVM, and well-known JavaScript runtimes provide automatic memory management with garbage collection. Developers are encouraged to write their code and forget about memory management entirely. But whilst ignorance is bliss, it can also lead to a host of problems further down the line.

With web applications becoming ever more interactive, and the meteoric rise in popularity of mobile browsers, the kind of performance and resource usage issues that once only concerned back-end developers have now become common currency on the client as well.

In this session we’ll look at how these runtimes manage memory and how you can get the best out of them. We’ll discuss the “classic” blunders that can trip you up, and how you can avoid them. We’ll also look at the tools that can help you if and when you do run into trouble, both on the client and the server.

You should come away from this session with a good understanding of managed memory, particularly as it relates to the CLR and JavaScript, and how you can write code that works with the runtimes rather than against them.

Talk Title: Optimizing client-side performance in interactive web applications

Web applications are becoming increasingly interactive. As a result, more code is shifting to the client, and JavaScript performance has become a key factor for many web applications, both on desktop and mobile. Just look at this still ongoing discussion kicked off by Jeff Atwood’s “The State of JavaScript on Android in 2015 is… poor” post: https://meta.discourse.org/t/the-state-of-javascript-on-android-in-2015-is-poor/33889/240.

Devices nowadays offer a wide variety of form factors and capabilities. On top of this, connectivity – whilst widely available across many markets – varies considerably in quality and speed. This presents a huge challenge to anyone who wants to offer a great user experience across the board, along with a need to carefully consider what actually constitutes “the board”.

In this session I’m going to show you how to optimize the client experience. We’ll take an in depth look at Chrome Dev Tools, and how the suite of debugging, data collection and diagnostic tools it provides can help you diagnose and fix performance issues on the desktop and Android mobile devices. We’ll also take a look at using Safari to analyse and debug web applications running on iOS.

Throughout I’ll use examples from https://arcade.ly to illustrate. Arcade.ly is an HTML5, JavaScript, and CSS games site. Currently it hosts a version of Star Castle, called Star Citadel, but I’m also working on versions of Asteroids (Space Rawks!), and Space Invaders (yet to find an even close to decent name). It supports both desktop and mobile play. Whilst this site hosts games the topics I cover will be relevant for any web app featuring a high level of interactivity on the client.

Talk Title: Complex objects and microORMs: an introduction to the Dapper.SimpleLoad and Dapper.SimpleSave extensions for StackExchange’s Dapper microORM

Dapper (https://github.com/StackExchange/dapper-dot-net) is a popular microORM for the .NET framework that provides simple way to map database rows to objects. It’s a great alternative when speed is of the essence, and when you just don’t need the functionality offered by EF.

But what happens when you want to do something a bit more complicated? What happens if you want to join across multiple tables into a hierarchy composed of different types of object? Well,then you can use Dapper’s multi-mapping functionality… but that can quickly turn into an awful lot of code to maintain, especially if you make heavy use of Dapper.

Step in Dapper.SimpleLoad (https://github.com/Paymentsense/Dapper.SimpleLoad), which handles the multi-mapping code for you and, if you want it to, the SQL generation as well.

So far so good, but what happens when you want to save your objects back to the database?

With Dapper it’s pretty easy to write an INSERT, UPDATE, or DELETE statement and pass in your object as the parameter source. But if you’ve got a complex object this, again, can quickly turn into a lot of code.

Step in Dapper.SimpleSave (https://github.com/Paymentsense/Dapper.SimpleSave), which you can use to save changes to complex objects without the need to worry about saving each object individually. And, again, you don’t need to write any SQL.

I’ll give you a good overview of both Dapper.SimpleLoad and Dapper.SimpleSave, with a liberal serving of examples. I’ll also explain their benefits and drawbacks, and when you might consider using them in preference to more heavyweight options, such as EF.

Video blog: Getting started with relational databases using IntelliJ IDEA 13

Recently I’ve been reacquainting myself with technologies I haven’t had to use in anger for a while. One of these is Java. This has been great because I’ve been able to get back into using my favourite Java IDE: IntelliJ IDEA from JetBrains.

I’ve also started playing around with video blogging, which I’ve been meaning to do for a while. Nowadays tools like the excellent (and free!) Expression Encoder from Microsoft (sadly no longer under active development) make very easy.

Here are the firstfruits of my labours – a quick video on getting started with relational databases using the Database Tools in IntelliJ IDEA 13 Ultimate Edition.

In this video I show you how to use IDEA to work with SQL Server as a data source. On the face of it this might seem like an odd thing to do. That is unless you’re used to working in environments with fairly diverse infrastructure, in which case it’ll seem like an everyday and fairly pedestrian occurrence.

Topics covered:

  • Creating and configuring your SQL Server data source,
  • Installing the appropriate JDBC driver – a process which IDEA automates to make it as easy as possible,
  • The database pane, which is similar to SQL Server Management Studio’s (SSMS) Object Explorer View,
  • The query editor, which provides intellisense/auto-complete, and knows the different SQL dialects of all the RDBMS’s for which IDEA provides explicit support,
  • The results pane; again very similar to SSMS’s.

What you end up with is an experience that offers much of the functionality you’d most commonly use within SSMS, but without having to step outside of the IDE.

If you develop on Windows and you’re used to SSMS you may not find yourself using this particularly often. If, however, you develop on another OS, you don’t have the SQL Server client tools installed, or you don’t want the hassle and overhead of stepping out of your IDE (SSMS is based on Visual Studio so can take a while to start), you should find the functionality in IDEA provides a convenient shortcut for working with SQL Server databases.