These three tips will help you to troubleshoot your dynamic queries and identify the source of a dynamic query when you find one in your query store or plan cache.
To make dynamic SQL queries easier to debug, format the generated query with line breaks, add as a comment the name of the source stored procedure and use a parameter to only print the generated query.
1. Format your dynamic SQL queries for more readability
To read your dynamic queries stored in the plan cache, make sure to insert new lines when appropriate.
Use a variable for the line endings. For example, DECLARE @crlf NVARCHAR(2) = NCHAR(13) + NCHAR(10).
Also, to identify the source of a dynamic query, add as a comment the name of the stored procedure generating it. But, don’t use inside that comment a timestamp or any other dynamic text. Otherwise, you will end up with almost identical entries in the plan cache.
2. Add a parameter to print the generated query
To debug the generated dynamic query, add a parameter to print it. And, a second parameter to avoid executing the query.
For example, you can name these two parameters, @Debug_PrintQuery and @Debug_ExecuteQuery, respectively.
3. Change the casing of variables and keywords inside your dynamic SQL
To distinguish errors between the actual SQL query and the dynamic query, change the casing of keywords and variables inside your dynamic query.
Example
In the store procedure dbo.usp_SearchUsers below, notice the use of the variable @crlf to insert line breaks and the comment /* usp_SearchUsers */ to identify the source of the query.
Also, check the two debugging parameters: @Debug_PrintQuery and @Debug_ExecuteQuery. And, finally, see how the casing is different inside the dynamic SQL.
CREATEORALTERPROCdbo.usp_SearchUsers@SearchDisplayNameNVARCHAR(100)=NULL,@SearchLocationNVARCHAR(100)=NULL,@Debug_PrintQueryTINYINT=0,@Debug_ExecuteQueryTINYINT=1ASBEGINDECLARE@StringToExecuteNVARCHAR(4000);DECLARE@crlfNVARCHAR(2)=NCHAR(13)+NCHAR(10);SET@StringToExecute=@crlf+N'/* usp_SearchUsers */'+N'select * from dbo.Users u where 1 = 1 '+@crlf;IF@SearchDisplayNameISNOTNULLSET@StringToExecute=@StringToExecute+N' and DisplayName like @searchdisplayName '+@crlf;IF@SearchLocationISNOTNULLSET@StringToExecute=@StringToExecute+N' and Location like @searchlocation '+@crlf;IF@Debug_PrintQuery=1PRINT@StringToExecuteIF@Debug_ExecuteQuery=1EXECsp_executesql@StringToExecute,N'@searchdisplayName nvarchar(100), @searchlocation nvarchar(100)',@SearchDisplayName,@SearchLocation;ENDGO
Voilà! That’s how you can make your dynamic SQL queries easier to debug. If you’re new to the whole concept of dynamic SQL queries, check how to NOT to write dynamic SQL.
“How to Take Smart Notes” describes the Zettelkasten method in depth. It shows how scientists and writers can produce new content from their notes. But, you don’t have to be a scientist to take advantage of this method. Anyone can use it to organize his knowledge.
The Zettelkasten method is the secret behind Niklas Luhman’s success. He was a prominent German sociologist of the 20th century. He earned the title of Professor at Bielefeld University. To earn this title, he wrote a dissertation based on the notes he had about all the books he had read. He had a collection of over 90.000 notes. Impressive, right?
TL;DR
Don’t use notebooks to take notes
Don’t organize your notes per subjects and semester
Read with pen and paper in hand
Write your ideas into cards. Put them in your own words
Put an index number on every card
Create connections from one card to another
What you need to start with Zettelkasten
To start using the Zettlekasten method, you only need pen, paper and and slip-box. That’s why this method is also called the “slip-box” method.
All you have to do is have a pen and paper when you read. And, translate what you read to your own words. Don’t copy and paste.
Alternatively, you can any text editor to use it with your computer. But, don’t complicate things unnecessarily. Good tools should avoid distractions from your main task: thinking.
The Zettlekasten method uses three types of notes: fleeting, literature and permanent notes.
Write down everything that comes to your mind on fleeting notes. Once you process these notes, you can toss them.
While reading, make literature notes. Write down on a card what you don’t want to forget. You should write what the book says on what page. Be selective with your literature notes. Keep your literature notes in a reference system.
To make permanent notes, review your literature notes and turn them into connections. The goal isn’t to collect, but to generate new ideas and discussions. Ask yourself how it contradicts, expands or challenges your subject of interest.
Keep a single idea per card. Use a fixed number to identify each card. You can use another card to expand on one. Each note should be self-explanatory.
Create a new note
To add a note to your slip-box, follow these four steps:
Does this note relate to another note? Put if after.
If that’s not the case, put it at the end.
Add links from previous notes to this one or viceversa.
Add links to it in index card.
Index cards are notes with references to other notes. They act as entry point to a subject.
Don’t take notes on notebooks and on margins of books. These notes end up in different places. You have to remember where you put them.
Don’t underline or make margin notes. Make a separate note of what got your attention. Put it in the reference system. Then, review it and make it a permanent note.
Don’t store your notes on topics/subject and semester. And, don’t store your notes in chronological order either. It doesn’t allow you to reorder notes.
Don’t note everything on a notebook. Your good ideas will end up entangled with other irrelevant notes. Make sure to use fleeting, literature and permanent notes.
Why Zettlekasten method works
Reading with pen and paper force you to understand. You think you understand something until you have write it in your own words. Make sure you always write the output of your thinking.
Rereading doesn’t work. The next time you read something, you feel familiar. But, it doesn’t mean you understand it. Recalling is what indicates if you have learned something or not. The slip-box will show you your unlearned bits.
Reviewing doesn’t help for understanding and learning. Elaboration is better. It means rewriting what you read in your own words and making connections. The slip-box forces to understand and connect.
Memory is a limited resource. Use an external system to remember things. You don’t want to put in your head what you can put on a piece of paper. To get something out of your head, write it down. Use fleeting notes.
“Read, think and write. Take smart notes along the way”
Voilà! That’s How to Take Smart Notes. Remember, don’t use notebooks or write on book margins. Instead, use indexed cards to take notes and connect them with other cards.
Today I was reading the AutoFixture source code in GitHub and I found a LINQ method I didn’t know about: DefaultIfEmpty.
DefaultIfEmpty returns a collection containing a single element if the source collection is empty. Otherwise, it returns the same source collection.
For example, let’s find all the movies with a rating greater than 9. Otherwise, return our all-time favorite movie.
// We don't have movies with rating greater than 9varmovies=newList<Movie>{newMovie("Titanic",5),newMovie("Back to the Future",7),newMovie("Black Hawk Down",6)};varallTimesFavorite=newMovie("Fifth Element",10);varmovieToWatch=movies.Where(movie=>movie.Score>=9).DefaultIfEmpty(allTimesFavorite)// ^^^^^.First();// Movie { Name="Fifth Element", Score=10 }
If I had to implement it on my own, it would be like this,
Voilà! DefaultIfEmpty is helpful to make sure we always have a default value when filtering a collection. It’s a good alternative to FirstOrDefault followed by a null guard.
Want to write more expressive code for collections? Join my course, Getting Started with LINQ on Udemy and learn everything you need to know to start working productively with LINQ—in less than 2 hours.
SQL Server tries to use all available memory. SQL Server allocates memory during its activity. And, it only releases it when Windows asks for it.
This is normal behavior. SQL Server caches data into memory to reduce access to disk. Remember, SQL Server caches data pages, not query results.
You can limit the amount of memory available by setting the option “Maximum Server Memory”. By default, it is a ridiculous huge number: 2,147,483,647 MB.
SQL Server eating my RAM
This is specially true, if you’re running SQL Server on your development machine.
For your Production instances, check BornSQL’s Max Server Memory Matrix to set the right amount of RAM your SQL Server needs.
Voilà! This is a true story of how SQL Server was eating my memory. We needed some limits to keep things running smoothly on my laptop.
These days, I needed to update some unit tests. I found two types of issues with them. Please, continue to read. Maybe, you’re a victim of those issues, too. Let’s learn how to write good unit tests.
To write good unit tests, avoid complex setup scenarios and hidden test values. Often tests are bloated with unneeded or complex code in the Arrange part and full of magic or hidden test values. Unit tests should be even more readable than production code.
The tests I had to update
The tests I needed to update were for an ASP.NET Core API controller, AccountController. This controller created, updated, and suspended user accounts. Also, it sent a welcome email to new users.
These tests checked a configuration object for the sender, reply-to, and contact-us email addresses. The welcome email contained those three emails. If the configuration files miss one of the email addresses, the controller throws an exception from its constructor.
Let’s see one of the tests. This test checks for the sender’s email.
Our sample test only cares about one object: IOptions<EmailConfiguration>. All other objects are noise for our test. They don’t have anything to do with the scenario under test. We have to use them to make our test compile.
Use builder methods to reduce complex setup scenarios.
Let’s reduce the noise from our test with a MakeAccountController() method. It will receive the only parameter the test needs.
After this change, our test looked like this:
[TestMethod]publicvoidAccountController_SenderEmailIsNull_ThrowsException()// ^^^^// We can make this test a void method{varemailConfig=newMock<IOptions<EmailConfiguration>>();emailConfig.SetupGet(options=>options.Value).Returns(newEmailConfiguration{ReplyToEmail="email@email.com",SupportEmail="email@email.com"});// Notice how we reduced the noise with a builderAssert.ThrowsException<ArgumentNullException>(()=>MakeAccountController(emailConfig.Object));// ^^^^^// We don't need a return statement here anymore}privateAccountControllerMakeAccountController(IOptions<EmailConfiguration>emailConfiguration){varmapper=newMock<IMapper>();varlogger=newMock<ILogger<AccountController>>();varaccountService=newMock<IAccountService>();varaccountPersonService=newMock<IAccountPersonService>();varemailService=newMock<IEmailService>();// We don't need Mock<IOptions<EmailConfiguration>> herevarhttpContextAccessor=newMock<IHttpContextAccessor>();returnnewAccountController(mapper.Object,logger.Object,accountService.Object,accountPersonService.Object,emailService.Object,emailConfiguration,// ^^^^^httpContextAccessor.Object);}
Also, since our test doesn’t have any asynchronous code, we could declare our test as a void method and remove the return statement. That looked weird in a unit test, in the first place.
With this refactor, our test started to look simpler and easier to read. Now, it’s clear this test only cares about the EmailConfiguration class.
2. Make your test values obvious
Our test states in its name that the sender’s email is null. Anyone reading this test would expect to see a variable set to null and passed around. But, that’s not the case.
Make scenarios under test and test values extremely obvious.
Please, don’t make developers decode your tests.
To make the test scenario obvious in our example, let’s add SenderEmail = null to the initialization of the EmailConfiguration object.
[TestMethod]publicvoidAccountController_SenderEmailIsNull_ThrowsException(){varemailConfig=newMock<IOptions<EmailConfiguration>>();emailConfig.SetupGet(options=>options.Value).Returns(newEmailConfiguration{// The test value is obvious nowSenderEmail=null,// ^^^^^ReplyToEmail="email@email.com",SupportEmail="email@email.com"});Assert.ThrowsException<ArgumentNullException>(()=>MakeAccountController(emailConfig.Object));}
Finally, as an aside, we don’t need a mock on IOptions<EmailConfiguration>.
Don’t use a mock or a stub with the IOptions interface. That would introduce extra complexity. Use Options.Create() with the value to configure instead.
Voilà! That’s way easier to read. Do you have noise and hidden test values in your tests? Remember, readability is one of the pillars of unit testing. Don’t make developers decode your tests.