Tag Archives: C#

Software Development Podcasts – 2013 Edition

I was recently chatting with some coworkers about podcasts I listen to, so I thought I should document that list for easy sharing and to find some gems I am missing.

I have taken advantage of my commute time and turned my commute into Automobile University as talked about by Zig Ziglar. I heard this idea via some fitness blogs I was reading where the trainers were talking about ways to continuously improve, and decided I would apply that idea to my commute, walks, or even running errands.

The other thing I have started taking advantage of is the ability of podcast players to play at double speed. Most podcasts out there do well at one-and-a-half or double speed, and have heard that some players even support three-times speed. This allows you to dramatically increase your consumption rate if you can follow along at those speeds. You may not understand everything that is said, but you can always go back and re-listen to sections if needed, let it broaden your known unknowns, and at the least it should help to remove some of your unknown unknowns.

I did a listing of Software Development Podcasts previously, and am going to try and make this a yearly or bi-yearly update based off how frequently this list of podcasts change in my rotation.

.NET Podcasts

Ruby Podcasts

  • Ruby Rogues – Panel discussion on various Ruby related topics and projects.

Clojure Podcasts

  • The Cognicast – Formerly Think Relevance podcast
  • Mostly λazy – Infrequent updates, but enjoyed the episodes that have been released

JavaScript Podcasts

  • JavaScript Jabber – Panel discussion on JavaScript topics, started by the host who started Ruby Rogues. The first episodes were hard to listen to due to some negativity, but have picked up listening to it again in the 50’s episode numbers, and working my way back as I get a chance.

Erlang Podcasts

  • Mostly Erlang – Panel discussion mostly about Erlang, but touches on related topics and other functional programming languages and how they relate to Erlang.


  • The Changelog – Podcast about Open Source projects from The Changelog
  • The Wide Teams Podcast – Hosted by one of the panelists of Ruby Rogues, with a focus on distributed software development, with the goal to find out the good and the bad experiences and help share information on how distributed teams work.
  • Software Engineering Radio – Recently I have only been finding a few shows on topics that seem interesting, but have a large backlog of shows with interesting topics.
  • GitMinutes – Podcast covering Git source control management.

New Comers

These are podcasts that I have only listened to a couple of episodes of, either because they have only released a couple, or have just started trying them.

On my list to check out

  • Food Fight – Podcast on DevOps
  • The Freelancers Show – Started by the same host of JavaScript Jabber and Ruby Rogues about freelancing. I would think the information would be relevant to full time employees even for working to build ones career.

If you have any other podcasts that are good please feel free to add your list of podcasts that I have left out to the comments.

**Updated 2013-10-24 7:54 CDT to include link to previous list of Software Development Podcasts
**Updated 2013-10-24 22:13 CDT to include The Changelog, a “podcast covering what’s new and interesting in open source”
**Updated 2013-10-24 22:28 CDT to include GitMinutes

Looking for a new job

The company I have been working for had to just go through a round of layoffs, due to not getting one of their main contracts renewed do to lack of funding by the state, and I have been included in that round.

My primary experience has been in C# on the Microsoft .Net framework for the past 10 years. Of those 10 years, 9 of them were working against the same product, and product suite allowing me to learn how some inconsequential decisions are not so inconsequential long term, and the value of care and commitment to a code base can be.

I am thinking that this would be a good opportunity to open myself up in trying to venture into a new language and toolset such as Ruby or Clojure. This is my open announcement for anybody who would like to poach a .Net developer if you are having problems finding developers fluent in your programming language.


Support for Arrays in Constructors using Castle Windsor

As I mentioned in my post Aspect Oriented Timing in C# with Castle Windsor, we are using Castle Windsor as our Inversion of Container on our current project.

In the process of adding a couple of new features, there were places where the new code had to fit in to existing places where there were a longer (more than simply just a single if/else) set of conditionals. To address the changes that I needed to make, I added another conditional to go with the existing ones. This change was in the mood of make it work, knowing I would come back after it worked to make it right, and that this change would allow me to confirm the smell I was “sure” I was smelling.

One I had it working, I came back to make it right. The route I wanted to go was to emulate the refactoring Replace Conditional with Polymorphism by creating a “handler” abstraction, and pulling the logic for each of the conditionals into a separate implementation of the handler.

My new interface was defined as:

public interface INewHandler
  bool CanHandle(ISomeObject obj);
  void Handle(ISomeObject obj);

I then moved out the logic in each of the conditionals, as well as the conditionals themselves into new handlers. The conditionals were moved into the CanHandle method, and the body of the conditional was moved to the HandleMethod of the implementation.

With these defined, it became just a matter of using a LINQ query to find either the first, or all items that could handle the object, and then just call the Handle method on the ones that matched the filter.

    Where(h => h.CanHandle(someObj)).
    ForEach(h => h.Handle(someObj));

After having this, all we need now is the ability to have all of the implementations injected into the constructor. This gets us to the title of this post, about having arrays injected into constructors. First we have to configure the container to add a new ArrayResolver as a subresolver.

container.Kernel.Resolver.AddSubResolver(new ArrayResolver(container.Kernel));

After this, I want to pick up all implementations of the INewHandler in all assemblies.

    AllTypes.FromAssemblyInDirectory(new AssemblyFilter("bin")).
    Configure(c => c.LifeStyle.PerWebRequest)

After adding these two to the registration of Castle Windsor, I now get all implementations injected into my constructor when I declare a constructor parameter that is a type of INewHandler[].

Hope someone else can find this helpful.


Aspect Oriented Timing in C# with Castle Windsor

I was making some refurbishments on some reporting code in our application that used EF and was suffering from the Select N+1 problem. If truth, it was much worse, as it was an Select N+1 problem up to 6 levels deep depending on where the report was run from.

I was changing the code to use a denormalized view from the database, and then run a SQL Query using Entity Framework. When doing this I was asked to get the timings of the report, both against the new way, and the existing way.

As this is incidental to what I was really trying to do, I did not want to litter timing code, and logging mechanisms into classes that already existed. This smelled of Aspect Oriented Programming (AOP). While I had not done anything using AOP before, I knew that it was great for cross-cutting concerns like logging, timings, etc. Having been digging into Clojure and LISP recently, this also seemed like cases of the :before, :after and :around methods in Common LISP, or the similar behavior in Eiffel as pointed out in Bertrand Meyer’s Object Oriented Software Construction, not to mention the time function in Clojure which is a function whose single concern is simply the to manage capturing the timing a function passed into it. My hope was to simplify, or un-complect, the code, and keep those concerns separate.

In our project, we have Castle Windsor setup as the IOC container, and Windsor supports a type of Aspect Oriented Programming using something called Interceptors. I found documentation on setting it up on a post by Ayende, and one Andre Loker. The issue was some of the places I wanted to setup the capturing of the timings were in different areas than where the handlers were registered for Windsor.

After some hunting around, I managed to come up with being able to add an interceptor to an already registered component by using the following line of code, where the IReportingService is the class I want to time the method calls around, and the LogTimingInterceptor is the class that captures the timing of the method call and sends it to the logger:

container.Kernel.GetHandler(typeof(IReportingService)).ComponentModel.Interceptors.Add(new InterceptorReference(typeof(LogTimingInterceptor)));

Hope someone else can find this useful,

Projects as Code Bookshelves

Just a quickie post to share an analogy I came up with the other day about projects/DLLs and code organization.

I had just created a new project in our .NET application, with only one file in it. Previously I created a couple of new classes and when I did, I added them to various projects where they didn’t really belong, so after doing that a few times I decided it was time I created a new project.

When asked about that project with only one file in it, I gave my above rationale, and then gave the following statement:

Think of it like buying a new bookshelf, right now we only have one book on it, but now we have a place to put our books.

We will likely never migrate all those items that belong in the project to be there. But from now on, as we take the book off the bookshelf, we now have a place that we can put that book when we put it up where it makes more sense, instead of putting our cookbook back between Homer’s Odyssey and Bill Willingham‘s Fables or Neil Gaiman‘s Sandman.


Using Entity Framework to run SQL queries

At work we are using Entity Framework, and we have some reports that we were using that were taking a long time to run. The culprit was the Select N+1 monster, which was rearing its ugly head, really 4 or 5 of them, as we were having the Select N+1 problem that many levels deep, practically loading the whole database.

In working to solve this I created some views in the database, with some SQL that was going to need to be run against those views from the codebase. This is because it may be more like a table function, but I still have to get with our DBA to find the gaps in my solution, but in the mean time I had a SQL statement that I need to run from the application, and did not want to get into pure ADO.NET and having to transform data records into the objects I was wanting to return. I found a solution from Craig Stuntz, and applied that to our code base.

I have my code starting from the DbContext, as opposed to just the ObjectContext, and have not done anything to think about SQL Injection attack in this example.

public class ColumnSummary
    public string ColumnName { get; set; }
    public bool IsNullable { get; set; }
    public int? MaxLength { get; set; }

public IEnumerable<ColumnSummary> GetColumnsForTable(string tableName)
    string sql = @"
select Column_Name as ColumnName, Is_Nullable as IsNullable, Character_Maximum_Length as MaxLength

    var context = ((IObjectContextAdapter)_dbContext).ObjectContext;
    return context.ExecuteStoreQuery<ColumnSummary>(sql, new SqlParameter("@tableName", tableName));

This allows me to run SQL, and not have to worry about handling the mapping myself, but just let the Entity Framework data access layers handle that for me, as long as I give it something that matches the results set.

And if you need to do this in multiple places, I would recommend creating some sort of SQL Query object, which would take in the SQL statement you would like to run and the SQLParameters to pass to ExecuteStoreQuery, and let the SQL Query object hide the details of the how the query gets run, and have those details behind a walled garden.


How Clojure is breaking my brain – Loops

Seeing how Chris Houser, aka Chouser, aka @chrishouser, one of the co-authors of the Joy Of Clojure, shared a link to my post on twitter, and with a few tweets:

I figured I should follow up the start of that conversation, and tease apart my current thinking about loops.  The short version is:

I never want to have to write a loop again.

As this is quite the bold statement, some elaboration is in order.

First I realized a number of years ago that every time I would write a loop, I would write a lot of duplicate code. The code wasn’t always identical, but it had the same structure, so much so, that many IDEs now have ‘for loop’ templates. I had realized there were certain structures to the loops, but I never had the “AH-HA!” moment to truly recognize the patterns.

Then a series of events started to come together: I read Structure and Interpretation of Computer Programs for the first time, we moved on to .NET 3.5 at work and were able to take advantage of LINQ, I started looking into Ruby, and finally, I started digging into Clojure.

Now I had heard people talk about some of the looping patterns before, hearing people talk about Smalltalk and Ruby, but it wasn’t until I started getting into Clojure that it fully clicked in that there really are only a handful of different loops: projection (map, select, transformation), collection (reduce, collect, aggregate, accumulate, sum, multiple), filtering (filter, exclude, include, where), grouping (group, frequencies), and maybe a couple of others I am leaving out now, as well as composition of the different looping constructs.


The projection looping pattern simply takes a collection of elements and applies some projection against them to get a new view of the objects. The Hello World example of this is the squares of a set of numbers.
The imperative version in C#, or any C-style language would be written as:

var squares = new List<int>();
for(int i = 1; i <= 10; 1++)
return squares;

In Clojure this would be:

(map #(* % %) (range 1 11))

In C# with LINQ this is:

  Enumerable.Range(1, 10).Select(x => x * x);


The collection looping pattern is about getting a single value out, though there may be cases when multiple values come out. The Hello World example of this tends to be the sum of the numbers in a sequence, or the multiple of the numbers.

The imperative version in C#, or any C-style language would be written as:

var sum = 0;
for(int i = 1; i <= 10; 1++)
  sum += i;
return sum;

In Clojure this would be:

(reduce + (range 1 11))

In C# with LINQ this is:

  Enumerable.Range(1, 10).Sum();


The filter looping pattern is to find a subset of items that match a criteria.

The Hello World example of this tends to be getting only the even numbers in a sequence.

The imperative version in C#, or any C-style language would be written as:

var numbers = new List<int>();
for(int i = 1; i <= 10; 1++)
  if (!IsEven(i))

return numbers;

In Clojure this would be:

(filter even? (range 1 11))

In C# with LINQ this is:

  Enumerable.Range(1, 10).Where(x => IsEven(x));


The grouping looping pattern is to create a set of groups of items, where each group match the same criteria.

The Hello World example of this tends to be grouping numbers of a sequence into those that are even, and those that are not.

The imperative version in C#, or any C-style language would be written as:

var groups = new Dictionary<bool, List<int>>();
for(int i = 1; i <= 10; 1++)
  var key = IsEven(i);
  if (!groups.ContainsKey(key))
    groups[key] = new List<int>();
return groups;

In Clojure this would be:

(group-by even? (range 1 11))

In C# with LINQ this is:

  Enumerable.Range(1, 10).GroupBy(x => IsEven(x));

In this type of looping, the differences between the imperative and the declarative styles really start to show, even in a simple example such as this.

What about for loops as a counter?

As you can see above, I was just going against a range of numbers, and if needed, would go against range generated with a increment.

OK. So!?


First, my disclaimer. I am sure I have some of the pattern names wrong, but I have tried to identify them generically to help describe the differences though name only. Second, I am by far not the first one to identify these, I am only trying to document my understanding at the time, and help spread knowledge about these concepts. I would love feedback on the correct pattern names, and the others that I might have left out, or missed, so that I can help keep this as accurate as possible.

Second, I realize that these are all trivial examples, but I hope they illustrate enough to clarify following point I am about to make, if you haven’t already bought into it.

The beauty of these is that the loops become easily composable, as well as the program is now freed from the implementation of these operations, which can be changed separately from the program. The operations could be lazily evaluated and only done on demand; they could be parsed and fed into one giant function that exhibits the same results but tuned to be able to require only one pass through the items; if the language, or program is idempotent, then they could parallelized either by splitting off work into smaller pieces and assembling the results together, or farmed out to multiple worker processes so that we have multiple subprograms working against a problem and then we get a result from those (first one wins, or some kind of voting system). But when I am writing the program those are details I don’t care about.

This allows me to first express what I want the program to do, and then (after) I have expressed my intent and am sure that it is correct, I, or preferably someone much smarter than me, can go back and determine how, and any better ways, to execute my intent.

So in summary, to take Steve McConnell’s quote in Code Complete:
…if you work for 10 years, do you get 10 years of experience or do you get 1 year of experience 10 times?
and ask:
…if you have been writing loops for 10 loops, have you just been writing same loop all 10 years?