LINQ: Understanding Your Query Chain

This is part of a short series on the basics of LINQ:

This is the third part in my small series on LINQ and it covers what I feel is the most important thing to understand when using LINQ, query chains. We are going to build on the deferred execution concepts discussed in the last entry and look at why it is important to know your query operations.

Each method in a LINQ query is either immediately executed or deferred. When deferred, a method is either lazily evaluated one element at a time or eagerly evaluated as the entire collection. Usually, you can determine which is which from the documentation or, if that fails, a little experimentation. Why does it matter? This question from StackOverflow provides us with an example:

For those that did not read it or do not understand the problem, let me summarize. The original poster had a problem where values they had obtained from a LINQ query result, when passed into the `Except()` method on that same query, did not actually exclude anything. It was as if they had taken the sequence `1,2,3,4`, called `Exclude(2)`, and that had returned `1,2,3,4` instead of the expected `1,3,4`. On the surface, the code looked like it should work, so what was going on? To explain, we need a little more detail.

The example code has a class that described a user. An XML file contained user details and this is loaded into a sequence of `User` instances using LINQ-to-XML.

IEnumerable<IUser> users = doc.Element("Users").Elements("User").Select
        (u => new User
            { ID = (int)u.Attribute("id")
              Name = (string)u.Attribute("name")
            }
        ).OfType<IUser>();       //still a query, objects have not been materialized

As noted in the commentary, the poster understood that at this point, the query is not yet evaluated. With their query ready to be iterated, they use it to determine which users should be excluded using a different query.

public static IEnumerable<IUser> GetMatchingUsers(IEnumerable<IUser> users)
{
     IEnumerable<IUser> localList = new List<User>
     {
        new User{ ID=4, Name="James"},
        new User{ ID=5, Name="Tom"}
     }.OfType<IUser>();
     var matches = from u in users
                   join lu in localList
                       on u.ID equals lu.ID
                   select u;
     return matches;
}

And then using those results, the originally loaded list of users is filtered.

var excludes = users.Except(matches);    // excludes should contain 6 users but here it contains 8 users

Now, it is clear this code is not perfect and we could rewrite it to function without so many LINQ queries (I will give an example of that later in this post), but we do not care about the elegance of the solution; we are using this code as an example of why it is important to understand what a LINQ query is doing.

As noted in the commentary, when the line declaring the initial `users` query is executed, the query it defines has not. The query does not actually become a real list of users until it gets consumed1. Where does that happen? Go on, guess.

If you guessed `GetMatchingUsers`, you are wrong. All that method does is build an additional level of querying off the initial query and return that new query. If you guessed the `Except()` method, that's wrong too, because `Except()` is also deferred. In fact, the example only implies that something eventually looks at the results of `Except()` and as such, the query is never evaluated. So, for us to continue, let's assume that after the `excludes` variable (containing yet another unexecuted query), we have some code like this to consume the results of the query:

foreach (var user in excludes)
{
   Console.WriteLine(user.ID);
}

By iterating over `excludes`,  the query is executed and gives us some results. Now that we are looking at the query results, what happens?

First, the `Except()` method takes the very first element from the `users` query, which in turn, takes the very first `User` element from the XML document and turns it into a `User` instance. This instance is then cast to `IUser` using `OfType`2.

Next, the `Except()` method takes each of the elements in the `matches` query result and compares it to the item just retrieved from the `users` collection. This means the entire `matches` query is turned into a concrete list. This causes the `users` query to be reevaluated to extract the matched users. The instances of `User` created from the `matches` query are compared with each instance from the `users` query and the ones that do not match are returned for us to output to the console.

It seems like it should work, but it does not, and the key to why is in how queries and, more importantly, deferred execution work.

Each evaluation of a deferred query is unique. It is very important to remember this when using LINQ. If there is one thing to take away from reading my blog today, it is this. In fact, it's so important, I'll repeat it:

Each evaluation of a deferred query is unique.

It is important because it means that each evaluation of a deferred query (in most cases) results in an entirely new sequence with entirely new items. Consider the following iterator method:

IEnumerable<object> GetObject()
{
    yield return new Object();
}

It returns an enumerable that upon being consumed will produce a single `Object` instance. If we had a variable of the result of `GetObject()`, such as `var obj  = GetObject()` and then iterated `obj` several times, each time would give us a different `Object` instance. They would not match because on each iteration, the deferred execution is reevaluated.

If we go back to the question from StackOverflow armed with this knowledge, we can identify that `users` is evaluated twice by the `Except()` call. One time to get the list of exceptions out of the `matches` query and another to process the list that is being filtered. It is the equivalent of this:

IEnumerable<object> GetObjects()
{
    return new[]
    {
        new Object(),
        new Object(),
        new Object(),
        new Object(),
        new Object()
    };
}

void main()
{
   var objects = GetObjects().Except(GetObjects());
   foreach (var o in objects)
   {
        Console.WriteLine(o);
   }
}

From this code, we would never expect `objects` to contain nothing since the two calls to the immediately executed `GetObjects` would return collections of completely different instances. When execution is deferred, we get the same effect; each evaluation of a query is as if it were a separate method call.

To fix this problem, we need to make sure our query is executed once to make the results "concrete", then use those concrete results to do the rest of the work. This is not only important to ensure that the objects being manipulated are the same in all uses of the queried data, but also to ensure that we don't do work more than once3. To make the query concrete, we call an immediately executed method such as `ToList()`, evaluating the query and capturing its results in a collection.

This is our solution, as the original poster of our StackOverflow question indicated. If we change the original `users` query to be evaluated and stored, everything works as it should. With the help of some investigation and knowledge of how LINQ works, we now also know why.

Now that we understand a little more about LINQ we can consider how we might rewrite the original poster's example code. For example, we really should not to iterate the `users` list twice at all; we should see the failure of `Except()` as a code smell that we are iterating the collection too often. Though making it concrete with `ToList()` fixes the bug, it does not fix this inefficiency.

To do that, we can rewrite it to something like this:

public static bool IsMatchingUser(User user)
{
     var localList = new List<User> {
        new User{ ID=4, Name="James"},
        new User{ ID=5, Name="Tom"} }
      .Cast<IUser>()
      .AsReadOnly();

    return localList.Any(u=>u.ID == user.ID && u.Name == user.Name);
}

var users = doc
    .Element("Users")
    .Elements("User")
    .Select(u => new User {
        ID = (int)u.Attribute("id")
        Name = (string)u.Attribute("name") })
    .Where(u => IsMatchingUser(u));

This update only iterates over each user once, resulting in a collection that excludes the users we don't want4.

In conclusion…

My intention here was to show why it is fundamental to know which methods are immediately executed, which ones are deferred, and whether those deferred methods are lazily or eagerly evaluated. At the end of this post are some examples of each kind of LINQ method, but a good rule of thumb is that if the method returns a type other than `IEnumerable` or `IQueryable` (e.g. `int` or `List`), it is immediately executed; all other cases are probably using deferred execution. If a method does use deferred execution, it is also helpful to know which ones iterate the entire collection every time and which ones stop iterating when they have their answer, but for this you will need to consult documentation and possibly experiment with some code.

Just knowing these different types of methods can be a part of your query will often be enough to help you write better LINQ and debug queries faster.  By knowing your LINQ methods, you can improve performance and reduce memory overhead, especially when working with large data sets and slow network resources. Without this knowledge, you are likely to evaluate queries and iterate sequences too often, and instantiate objects too many times.

Hopefully you were able to follow this post and it has helped you get a better grasp on LINQ. In the final post of this series, I will ease up on the deep code analysis, and look at query syntax versus dot notation (aka fluent notation). In the meantime, if you have any comments, I'd love to read them.

Examples of LINQ Method Varieties

Immediate Execution

`Count()`, `Last()`, `ToList()`, `ToDictionary()`, `Max()`, `Aggregate()`
Immediate iterate the entire collection every time

`Any()`, `All()`, `First()`, `Single()`
Iterate the collection until a condition is or is not met

Deferred Execution, Eager Evaluation

`Distinct()`, `OrderBy()`, `GroupBy()`
Iterate the entire collection but only when the query is evaluated

Deferred Execution, Lazy Evaluation

`Select()`,`Where()`
Iterate the entire collection

`Take()`,`Skip()`
Iterate until the specified count is reached

  1. "consumed" is often used as an alternative to "iterated" []
  2. `Cast()` should have been used here since all the objects loaded are of the same type []
  3. This is something that becomes very important when working with large queries that can be time or resource consuming to run []
  4. with more effort, I am certain there are more things that could be done to improve this code, but we're not here for that, so I'll leave is as an exercise for you; I'm generous like that []

LINQ: Deferred Execution

This is part of a short series on the basics of LINQ:

In the first rant post of this short series on LINQ, I explained the motivation behind writing this series in the first place, which can be summarised as:

People don't know LINQ and that impacts my ability to make use of it; I should try to fix that.

To start, I'm going to explain what I believe is the most important concept in LINQ; deferred execution.

So, what is deferred execution?

Deferred execution code is not executed until the result is needed; the execution is put off (deferred) until later. By doing this we can combine a series of actions without actually executing any of them, then execute them at the time we need a result. This allows us to limit the execution of computationally expensive operations until we absolutely need them.

That's my description, here is one from an MSDN tutorial on LINQ-to-XML that perhaps puts it more clearly:

Deferred execution means that the evaluation of an expression is delayed until its realized value is actually required. Deferred execution can greatly improve performance when you have to manipulate large data collections, especially in programs that contain a series of chained queries or manipulations. In the best case, deferred execution enables only a single iteration through the source collection.

Some may be surprised to know that deferred execution was not new when LINQ arrived, it had already been around for quite some time in the form of iterator methods. In fact, it is iterator methods that give LINQ its deferred execution. Before we look at an iterator method, let's look at an example of immediate execution. For this example, we will give ourselves the task of taking a collection of people and outputting a collection of unique last names for all those born before 1980.

public struct Person
{
    public Person(string first, string last, DateTimeOffset dateOfBirth) : this()
    {
        FirstName = first;
        LastName = last;
        DateOfBirth = dateOfBirth;
    }
	
    public string FirstName { get; private set; }
    public string LastName { get; private set; }
    public DateTimeOffset DateOfBirth { get; private set; }
}

public static class Data
{
    public static IEnumerable<Person> People = new[] {
        new Person("John", "Smith", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 34 )),
        new Person("Bill", "Smith", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 20 )),
        new Person("Sarah", "Allans", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 19 )),
        new Person("John", "Johnson", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 44 )),
        new Person("James", "Jones", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 78 )),
        new Person("Alex", "Jones", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 30 )),
        new Person("Mabel", "Thomas", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 29 )),
        new Person("Sarah", "Brown", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 23 )),
        new Person("Gareth", "Smythe", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 100 )),
        new Person("Gregory", "Drake", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 90 )),
        new Person("Michael", "Johnson", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 56 )),
        new Person("Alex", "Smith", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 22 )),
        new Person("William", "Pickwick", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 17 )),
        new Person("Marcy", "Dickens", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 18 )),
        new Person("Erica", "Waters", DateTimeOffset.Now - TimeSpan.FromDays( 365 * 26 ))
    };
}
IEnumerable<string> GetLastNamesImmediate()
{
    var distinctNamesToReturn = new List<string>();
    foreach (var person in Data.People)
    {
        if (person.DateOfBirth.Year < 1980 && !distinctNamesToReturn.Contains(person.LastName))
        {
            distinctNamesToReturn.Add(person.LastName);
        }
    }
    return distinctNamesToReturn;
}

When this method is called, it iterates over the entire collection and then returns its result, which also can then be iterated. If the collection of people were huge and we only cared about the first five names, this would be incredibly slow. To turn this into deferred execution, we can write it like this:

IEnumerable<string> GetLastNamesLazyDeferredWithoutLINQ()
{
    var lastNamesWeHaveSeen = new List<string>();
    foreach (var person in Data.People)
    {
        if (person.DateOfBirth.Year < 1980 && !lastNamesWeHaveSeen.Contains(person.LastName))
        {
            lastNamesWeHaveSeen.Add(person.LastName);
            yield return person.LastName;
        }
    }
}

Now, none of the code in this method is executed until the first time something calls `MoveNext()` on the returned enumerable. This means we could take the first five names without processing the entire collection of people, giving us a potentially enormous performance gain. If each item in the generated collection were computationally expensive to produce, without lazy evaluation, that expense would be multiplied by the total number of items in the collection on every call to the generator method; however, with lazy evaluation, the consumer of the collection gets to decide how many items are computed and therefore, how much work gets done. This ability to defer and control computationally expensive operations is the power of deferred execution.

However, not every deferred action necessarily has low overhead. Deferred execution actually comes in two flavours; eager evaluation and lazy evaluation (the example above is an example of lazy evaluation)1. Every action in a deferred execution chain uses either lazy or eager evaluation. Though lazy evaluation is preferred, sometimes it is not possible to evaluate one item at a time, such as when sorting. Eagerly evaluated deferred execution allows us to at least defer the effort until we want it done.

An eagerly evaluated version of the iterator method we have been looking at might look like this:

IEnumerable<string> GetLastNamesEagerDeferredWithoutLINQ()
{
    var distinctNamesToReturn = new List<string>();
    foreach (var person in Data.People)
    {
        if (person.DateOfBirth.Year < 1980 && !distinctNamesToReturn.Contains(person.LastName))
        {
            distinctNamesToReturn.Add(person.LastName);
        }
    }
	
    foreach (var name in distinctNamesToReturn)
    {
        yield return name;
    }
}

In this example, because it is still an iterator method (it returns its results using `yield return`), none of the code is executed until the very first time the `MoveNext()` method is called on the returned enumerable, and therefore, the execution is deferred. When `MoveNext()` gets called for the first time, the entire collection of data is processed at once and then the results are output one by one as needed. The difference between this and the immediate execution equivalent we first looked at is that in this version, no work is done until a result is demanded.

Allowing the consumer of a collection to control how much work is done rather than work being dictated by the collection generator allows us to manage data more efficiently by building chains of operations and then processing the result in one go when needed. Lazy evaluation gives us the additional ability to spread the effort across each call to `MoveNext()`. The key to writing good LINQ is understanding which actions are immediate, which are deferred and lazily evaluated, which are deferred and eagerly evaluated, and why it matters. We will take a look at that next time.

  1. Quite often, people use 'deferred execution' and 'lazy evaluation' interchangeably, but they are not actually synonymous, nor is 'immediate execution' synonymous with 'eager evaluation'. []

LINQ: Clarity, complexity, and understanding

This is part of a short series on the basics of LINQ:

At CareEvolution, we tend to develop using JavaScript on the front end, and C# on the back end (with some Python, PowerShell, CoffeeScript, R, SQL, and other languages thrown in when appropriate or technical debt dictates). We have hackathons every eight weeks where we get to be creative without the constraints of day-to-day work. We have a brown bag lunch talk every Wednesday. We work hard at embracing change, exploring new ways of doing things, and sharing what we have learned with each other. Quite often, leading figures in a particular technology emerge within our organisation: Brian knows JavaScript, Chris knows CSS, Brad knows SQL. While I doubt I know even half of the things about LINQ and its various implementations for database, Web API, or file interaction, I know enough to make it useful in my day to day work and I seem to be the one that employs it most in their code. I know LINQ.

I am certain this is going to sound familiar to many, but while my colleagues and I embrace all things as a collective, quite often a specific technology or its use will be avoided, derided, and hated by some. Whether driven by ignorance, a particular terrible experience, or prejudice1, these deep-seated feelings can create conflict and occasionally hinder progress. For me, my use of LINQ has been a cause for contention during code reviews. I have faced comments like "LINQ is too hard to understand", "loops are clearer", "it's too easy to get burned using LINQ", and "I don't know how to use it so I'd prefer not to see it". And that's all true; LINQ can be confusing, it can be complicated, it can be a debugging nightmare. LINQ can suck. Whether you use the C# language keywords or the dot notation (a debate almost as passionate as tabs versus spaces), LINQ can tie you up in knots and leave you wondering what you did to deserve this fresh hell. Yet any technology could be described the same way when one doesn't know anything about it or when early mistakes have left a bitter aftertaste.

Tabs vs Spaces

In response to these dissenting voices, I usually indicate the years of academic learning and professional experience it takes us to learn how to code at all. None of it is particularly easy and straightforward without some education. Don't believe me? Go stick your mum or dad in front of Visual Studio and, assuming they have never learned anything about C# or programming, see how far they get on writing Hello World without your help. Without educational instruction, we would not know any of it and LINQ is no different. When review comments inevitably request that I change my code to use less LINQ, none at all, or more understood language features like `foreach` and `while` loops, it frustrates me. It frustrates me because I usually feel that LINQ was the right choice for the job. I feel like I am being told, "use something I already know so I don't have to learn."

Of course, this interpretation is hyperbole. In actuality, when presented with opposing views to our own, it is easy to commit the black or white fallacy and assume one must be right and the other wrong, when really we should accept that we both may have a point (or neither) and learn more about the opposing view. Since I find, when used appropriately, LINQ can provide the best, most sublime, most elegant solution to problems that require the manipulation of collections in C#, I desperately want others to see that. It is as much on me as anyone else to try and correct for the disparity between what I see and what others see when I write LINQ. So, with my next post we will begin a journey into the basics of LINQ, when to use it2, when to use dot notation over language keywords (or vice versa), and how to avoid some of the more common traps. We will begin with the cause of many confusing experiences; deferred execution.

  1. we all know someone in the "That's new, I hate it" crowd []
  2. even I recognize LINQ is not a golden hammer; it's more of a chainsaw that kicks a little []

Debugging in LINQPad

If you have been reading my blog over the last few months you will no doubt be aware that I am a regular user of LINQPad. I do not have any commercial involvement with LINQPad nor its creators, I just really like it. Recently, I decided to try out the latest release, which adds integrated debugging to the already feature rich tool. This amazingly powerful new feature adds yet another reason why this application should be in every developer's arsenal, regardless of experience and ability (it is a great learning tool for students). Here is a brief overview of this new feature, which is available with the premium license (currently on sale for $85 at time of writing; it may not be the case as you are reading this).

When running the latest LINQPad, the debugging feature adds some new buttons to the familiar toolbar. All the debugging features are available for both statement and program-based queries in C#, VB, and F# (not expressions or SQL languages). The first new button is the `Pause` button, also known as `Break`. This works as you might expect, pausing the current code execution. The other two are to specify how exceptions should be handled, informing  the debugger to break on unhandled exceptions and when exceptions are thrown. Breakpoints can be added by clicking in the margin to the left of the code or pressing `F9` when the caret is on the desired line.  When a breakpoint is active on a line, it is indicated as a large red circle. For those who regularly use Visual Studio, the breakpoint and general debugger experience will be familiar.

Pressing `F5` will run the query (or selected lines) as usual, but now, any breakpoints set on executing lines will cause the code to break. At this point, LINQPad will reveal some familar and not-so-familiar tools for debugging the code. General status information is displayed at the bottom of the LINQPad window, showing things like whether the code is executing or paused, whether the debugger is attached or not, and the process ID.

The next code statement to execute is highlighted in the code with a yellow arrow in the margin (in this case, overlaid on the breakpoint circle), and the code highlighted in yellow. In the lower left portion of the screen, we can see local variables and executing threads. We can also set up our own watches as necessary. Any objects in the `Locals` and `Watch` tabs can be expanded using the `+` glyph to reveal their constituent values. As in Visual Studio, these tabs allow the expansion of just-in-time LINQ queries so you can delve into the deep dark secrets of your code. However, you can also take advantage of LINQPad's fantastic dump feature and dump any value out to the `Results` tab on the right. If you want to control how far down the object graph a dump will go, you can modify the `Dump Depth` using the `+` and `-` controls in the column header.

The `Dump` output for the `range` variable
The `Dump` output for the `range` variable
Specifying the depth of the dump
Specifying the depth of the dump

For more information on LINQPad and its many features, check out the LINQPad website (http://linqpad.net). In my opinion, whether you use the free version or one of the paid upgrades, you will have one of the best coding utilities available for .NET.

Some of my favourite tools

Update: This post has been updated to recognise that CodeLineage is now maintained by Hippo Camp Software and not Red Gate Software as was originally stated.

If you know me, you might well suspect this post is about some of the idiots I know, but it is not, this is entirely about some of the tools I use in day-to-day development. This is by no means an exhaustive list, nor is it presented in any particular order. However, assuming you are even a little bit like me as a developer, you will see a whole bunch of things you already use, but hopefully there is at least one item that is new to you. If you do find something new and useful here, or you have some suggestions of your own, please feel free to post a comment.

OzCode

OzCode is an add-in for Visual Studio that provides some debugging super powers like collection searching, adding computed properties to objects, pinning properties so that you don't have to go hunting in the object tree, simpler tracepoint creation, and a bunch more. I first tried this during beta and was quickly sold on its value. Give the 30-day trial a chance and see if it works for you.

Resharper

This seems to be a staple for most C# developers. I was a late-comer to using this tool and I am not sure I like it for the same reasons as everyone else. I actually love Resharper for its test runner, which is a more performant alternative to Visual Studio's built-in Test Explorer, and the ability to quickly change file names to match the type they contain. However, it has a lot of features, so while this is not free, give the trial a chance and see if it fits.

Web Essentials

Another staple for many Visual Studio developers, Web Essentials provides lots of support for web-related development including enhanced support for JavaScript, CSS, CoffeeScript, LESS, SASS, MarkDown, and much more. If you do any kind of web development, this is essential1.

LinqPad

I was late to the LinqPad party, but gave it a shot during Ann Arbor Give Camp 2013 and within my first hour or two of using it, dropped some cash on the premium version (it is very inexpensive for what you get). Since then, whether it is hacking code or hacking databases, I have been using LinqPad as my standard tool for hacking.

For code, it does not have the overhead of creating projects and command line, WinForms or WPF wrapper tools that you would have to do in Visual Studio. For databases, LinqPad gives you the freedom to use SQL, C#, F# or VB for querying and manipulating your database as well as support for many different data sources beyound just SQL Server, providing an excellent alternative to SQL Management Studio.

LinqPad is free, but you get some cool features if you go premium, and considering the sub-$100 price, it is totally worth it.

JustDecompile

When Red Gate stopped providing Reflector for free, JetBrains and Telerik stepped up with their own free decompilers for poking around inside .NET code. These are often invaluable when tracking down obscure bugs or wanting to learn more about the code that is running when you did not write it. While JetBrains' dotPeek is useful, I have found that JustDecompile from Telerik has a better feature set (including showing MSIL, which I could not find in dotPeek).

Chutzpah

Chutzpah is a test runner for JavaScript unit tests and is available as a Nuget package. It supports tests written for Jasmine, Mocha, and QUnit, as well as a variety of languages including CoffeeScript and TypeScript. There are also two Visual Studio extensions to provide Test Explorer integration and a handy context menu. I find the context menu most useful out of these.

Chutzpah is a great option when you cannot leverage a NodeJS-based tool-chain like Grunt or Gulp, or some other non-Visual Studio build process.

CodeLineage

CodeLineage is a free Visual Studio extension from Hippo Camp Software2. Regardless of your source control provider, CodeLineage provides you with a simple interface for comparing different points in the history of a given file. The simple interface makes it easy to select which versions to compare. I do not use this tool often, but when I need it, it is fantastic.

FileNesting

This Visual Studio extension from the developer of Web Essentials makes nesting files under one another a breeze. You can set up automated nesting rules or perform nesting manually.

I like to keep types separated by file when developing in C#. Files are cheap and it helps discovery when navigating code. However, this sometimes means using partial classes to keep nested types separate, so to keep my solution explorer tidy, I edit the project files and nest source code files. I also find this useful for Angular directives, allowing me to apply the familiar pattern  of organizing code-behind under presentation by nesting JavaScript files under the template HTML.

Whether you have your own nesting guidelines or want to ensure generated code is nested under its corresponding definition (such as JavaScript generated from CoffeeScript), this extension is brilliant.

Switch Startup Project

Ever hit F5 to debug only to find out you tried to start a non-executable project and have to hunt for the right project in the Solution Explorer? This used to happen to me a lot, but not since this handy extension, which adds a drop down to the toolbar where I can select the project I want to be my startup project. A valuable time saver.

MultiEditing

Multi-line editing has been a valuable improvement in recent releases of Visual Studio, but it has a limitation in that you can only edit contiguous lines at the same column location. Sometimes, you want to edit multiple lines in a variety of locations and with this handy extension, you can. Just hold ALT and click the locations you want to multi-edit, then type away.

Productivity Power Tools

Productivity Power Tools for Visual Studio have been a staple extension since at least Visual Studio 2008. Often the test bed of features that eventually appear as first class citizens in the Visual Studio suite, Productivity Power Tools enhances the overall Visual Studio experience.

The current version for Visual Studio 2013 provides support for colour printing, custom document tabs, copying as HTML, error visualization in the Solution Explorer, time stamps in the debug output margin, double-click to maximize and dock windows, and much more. This is a must-have for any Visual Studio user.

  1. yes, I went there []
  2. though it was maintained by Red Gate when I first started using it []