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Category: T-SQL

Ways to avoid the MERGE Operator

Michael J. Swart has important bullet points:

Aaron Bertrand has a post called Use Caution with SQL Server’s MERGE Statement. It’s a pretty thorough compilation of all the problems and defects associated with the MERGE statement that folks have reported in the past. But it’s been a few years since that post and in the spirit of giving Microsoft the benefit of the doubt, I revisited each of the issues Aaron brought up.

Some of the items can be dismissed based on circumstances. I noticed that:

– Some of the issues are fixed in recent versions (2016+).

– Some of the issues that have been marked as won’t fix have been fixed anyway (the repro script associated with the issue no longer fails).

– Some of the items are complaints about confusing documentation.

– Some are complaints are about issues that are not limited to the MERGE statement (e.g. concurrency and constraint checks).

Spoilers: some + some + some + some is still a lot less than all. Read the whole thing.

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Analytic Window Functions in SQL Server

Aveek Das takes a look at a few analytic window functions available since SQL Server 2012:

Since the introduction of SQL Server 2012, the analytic functions were added to the SQL Server database engine. Any version of SQL Server after SQL Server 2012 can execute analytic queries on it. These functions are used to calculate an aggregated value from the dataset but are based on a specific set of rows instead of the entire dataset. As compared to aggregate functions like SUM, COUNT, AVG, etc. which return scalar records, these functions can return multiple records based on the conditions. The most common examples of using these functions are to find moving averages, running totals, etc. SQL Server supports the following analytic functions.

1. CUME_DIST – Find the cumulative distribution of a numerical column

2. FIRST_VALUE – Finds the first value of a column from the group and prints the same for each row

3. LAST_VALUE – Finds the last value of a column from the group and prints the same for each row

4. LAG – Reads values after the specified number of rows for a column

5. LEAD – Reads values before the specified number of rows for a column

Click through for examples of how each works.

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Identifying Troublesome NOLOCK Statements

Aaron Bertrand is on a mission:

I’ve warned before about the possible downsides of both NOLOCK in general and, more specifically, when used against the target of an update or delete. While Microsoft claims that corruption errors due to the latter have been fixed in cumulative updates (e.g. see KB #2878968), we’re still seeing an occasional related issue where SQL Server will terminate, producing a stack dump that indicates a DML statement with NOLOCK as the cause. How do I find and correct all these potentially problematic statements?

The contrarian in me says, “You’re using NOLOCK; they’re all trouble.” But Aaron is a lot nicer about it than I am here.

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Throwing Exceptions in T-SQL

Chad Callihan plays hot potato:

When it comes to error handling or troubleshooting a long stored procedure, RAISERROR is an easy statement to use that gets the job done. Way back in SQL Server 2012, Microsoft wanted to replace RAISERROR with the new (arguably less convenient) THROW statement. I thought it would be worth looking at an example using THROW and what it takes to have custom messaging with a parameter.

THROW can be a little less convenient, but conceptually speaking, I do think it’s better than the alternative. The part which makes it tricky in practice is that so many types of T-SQL errors are non-catchable, so as a developer, you have to keep on your toes about it.

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String Padding in T-SQL

Kenneth Fisher pads some work:

I’ve been working on converting a piece of DB2 code into T-SQL and one of the functions I had to replace was lpad. It’s a simple enough function that will pad a string on the left with another string. So changing 1234 to 00001234. It’s a common enough task when formatting strings. And both DB2 and Oracle provide both lpad and rpad functions. However, guess what? SQL Server doesn’t. So how do we handle that in T-SQL? It’s a pretty easy pattern.

Click through for the answer.

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Buffering Events in SQL Server

Eitan Blumin has a technique to reduce expensive upserts:

Do you find yourself facing performance problems and long lock chains caused by very frequent INSERT, UPDATE, or DELETE statements being executed on a table? Check out this neat trick that could help you out and make all the difference in the world.

Okay, I admit that title ended up being quite long. But I wanted something that could be easily found in search engines by people facing similar problems.

I’ve done something similar, though without the partition switch and instead deleting batches into a temp table. This is a good example of something I like to say about scalable processes in T-SQL: many times, the most scalable technique involves a mental pivot (and sometimes a literal pivot, such as using tally tables to work with string data) of the straightforward answer.

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Removing Comments from Code with T-SQL

Tomaz Kastrun is not pleased with these comments:

This procedure will strip all the comments from your T-SQL query and return only the parts, that are uncommented.

Procedure is able to detect and remove the following type of comments (regardless of the position of the code or comment):

– in-line comment ( — comments )

– multiline comment (Slash star /* comments)

– in-line comment block

– comment within a comment (multiline block)

Read on to learn how.

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String Splitting with Line Numbers using CTEs

Steve Stedman has an interesting use for common table expressions:

Years ago while working on my CTE presentation for a SQL Saturday I added a blog post called “Using a CTE to Split a String Into Rows“, and since that posting I have used it many times.   But as things go in development, eventually there is a need to do something more.

Doing some complex string building to create files lately I cam across the need to use a CTE to split strings into rows but to also include line numbers.  To accomplish that I first started with the same function that I used last year, but renamed it, and added a second output column called LineNumber, here is what it looked like:

Click through for the script, as well as some additional notes.

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Levels of Recursion in CTEs

Steve Stedman probes the limits:

When presenting unleashing Common Table Expressions at SQL Saturday a while back, I was asked a couple of great questions that I didn’t know the answer to. So I did the research and tracked it down:

1. How many levels of recursion can you have in a CTE?

2. How many levels of nesting can you have in a CTE?

So I started doing the research and doing some testing to figure it out.

How many levels of recursion can you have in a CTE?

Click through for the two answers.

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