You’ll notice that when I go over the parentheses the one I’ve selected and it’s pair turn yellow, unless there isn’t a pair of course. You can also use Ctrl-] to flip between the open and close parenthesis in a pair. This can be particularly useful to make sure that you remembered a close parenthesis at the end of a subquery. In this case that last close parenthesis doesn’t have a match. Now finding out that you are missing an open parenthesis doesn’t mean you know where it’s supposed to go. But you can track the different pairs, making sure that each time you open a parenthesis you close it in the correct place. In this case it belonged right at the beginning.
FYI yellow isn’t the default (it’s a light gray). I find the default hard to see (I’m getting old) so I changed it to yellow in the options under fonts and colors.
Read the whole thing.
Which show you that the FLOAT had to be converted to VARCHAR. You can see the same thing if you try it with various versions of INT or DATE datatypes as well. Like I said earlier. No big deal with INT or even DATE. Those come back in a fairly expected format. (INTs look exactly the same and DATEs come back as ‘YYYY-MM-DD’). FLOAT and REAL however are floating point so they don’t always convert the same way. If you do the conversion deliberately you get this:
Understand your data types; otherwise, it might come back to hurt you later.
Recursion is an interesting computer science technique that stumps lots of people. When I was learning programming, it seemed that recursion (in Pascal) and pointers (in C), were the weed out topics.
However, they aren’t that bad, and with CTEs, we can write recursion in T-SQL. I won’t cover where this might be used in this post, though I will give you a simple CTE to view.
There are two parts you need: the anchor and the recursive member. These are connected with a UNION ALL. There can be multiple items, but we’ll keep things simple.
You can play query golf and find a way to remove the recursion, but it’s good to know how to create a recursive CTE. It’s also good to know that you typically do not want recursion in a database process…
This is logically equivalent to the first version of the code, but I find it makes for more readable code. It just looks cleaner.
For those of us who are
lazylooking to maximize efficiency, this could save a whole lot of key strokes.
This is true, but if you’re on SQL Server 2012 or later, check out CONCAT for concatenation, as it handles NULL values more elegantly.
But sometimes you want to run a series of statements or procedures where you only want the execution plan for some of the statements. Here’s how:
The actual execution plan is enabled by turning on SET STATISTICS XML., not unlike enabling STATISTICS IO or TIME. And just like SET NOCOUNT, the SET statements apply to the current context, which could be a stored procedure, a session, etc. When this context ends, the setting reverts to that of the parent context.
I see code snippets with STATISTICS IO and TIME fairly regularly, but almost never see STATISTICS XML; instead, I see people (including myself) hit Ctrl-M or select the “Include Actual Execution Plan” button when generating execution plans is desirable.
That’s right; SQL Server will just pick any child. It will not update the parent row for each child. When the MERGE statement runs into this problem, it raises an error and rolls back the UPDATE but our query will silently pick any value and move on. We don’t want to update data like this, we want our query to dictate the logic explicitly. This will require some changes to our query.
I prefer to write these types of updates with the use of a CTE. This allows us to easily highlight the SELECT in the CTE and execute it to see which rows will be updated (@variables can cause problems here though). Adding a COUNT can help to identify the problem in the previous query.
Highlight and execute the code inside the CTE below to check for duplicates. If this returns 0 rows then you are good to remove the COUNT, GROUP BY and HAVING then add the name columns before executing the whole statement.
When writing T-SQL updates with joins, it’s important to consider whether the grain changes, and if that change can make a difference in your update set.
So here, the JSON and
STRING_SPLITmethods took about 10 seconds each, while the Numbers table, CLR, and XML approaches took less than a second. Perplexed, I investigated the waits, and sure enough, the four methods on the left incurred significant
LATCH_EXwaits (about 25 seconds) not seen in the other three, and there were no other significant waits to speak of.
And since the latch waits were greater than total duration, it gave me a clue that this had to do with parallelism (this particular machine has 4 cores). So I generated test code again, changing just one line to see what would happen without parallelism:
There’s a lot going on in that post, so I recommend checking it out.
Someone posted to #sqlhelp on Twitter, asking the following: “Wondered if anyone could enlighten me as to why ISNUMERIC(‘7d8’) returns 1?”
SELECT ISNUMERIC('7d8')returns a 1.
Great answer and explanation, and his advice to use TRY_CONVERT() for 2012 and up is spot-on.
Let it be known that the word “backup” is a noun (it refers to a thing), and “back up” is a verb (it refers to an action.
I’m going to back up the database.
It will produce a backup.
I’ll save that backup until we back up the database three more times.
Now back up a moment here; I need to come up with a backup plan…
Simple sorts are pretty easy. In the ORDER BY clause you can list out the columns by name or by position in the field list and determine if you want them sorted ascending or descending. But how about going beyond that?
Every now and again you need a fairly complex sort order. Say for example you want to order your data differently depending on the Status (say DueDate if theStatus is 1, 2 or 3 and ShipDate otherwise). But you also want anyone with aTotalDue greater than $5000 sorted separately from those with a TotalDue less than $5000.
Conditional sorting isn’t something you should be doing in every query, but it’s important enough to know about.