Different query plans for “OR” type queries

The SQL Server query optimizer can find interesting ways to tackle seemingly simple operations that can be hard to optimize. Consider the following query on a table with two indexes, one on (a), the other on (b):

SELECT a, b
FROM #data
WHERE a<=10 OR b<=10000;

The basic problem is that we would really want to use both indexes in a single query.

In this post, we’re going to take a look at a few examples of how this type of query would be optimized, as well as how statistics can affect the query plan, and finally, we’ll take a look at a slightly rare plan operator called “Merge Join (Concatenation)”.

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Intermittent conversion issues

Although it’s rotten practice, values like dates, times, numbers, etc are often stored in columns with the wrong data type. Sometimes, it’s because the data model needs to allow for multiple types of data in the same column (sometimes even on the same row in the form of a formula or text syntax), but sometimes, it’s just plain and simple lazy.

With this type of setup, it’s only a matter of time before you run into conversion errors like this one:

Msg 245, Level 16, State 1, Line 29
Conversion failed when converting the varchar value 'xyz' to data type int.

To make things worse, these errors can be tricky to pinpoint, because they can appear to come and go without any real recognizable pattern. In this post, I’ll take a look at how this happens, how to look for these errors, and ultimately how to fix them if you can’t change the database schema.

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Parallel execution, part 1

The subject of parallel execution of SQL Server queries is at times somewhat shrouded in mystery and uncertainty. Since the concept of parallel execution is such a significant (and indispensable tool) for performance tuning, it’s good to have a fair idea of how it works. In this first post in a series on parallelization, I’m going to try to sort out the apples from the pears, or the serial from the parallel if you will.

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Using memory optimized tables on VirtualBox

There are a handful of wonderful software packages out there that I wouldn’t want to work without, including the free, open-source virtualization platform VirtualBox, which was acquired by Sun a few years ago, which in turn was bought by Oracle.

The other day, I was setting up a new virtual machine to run SQL Server 2014 with memory-optimized tables, which incidentally is one of the great reasons to update to 2014. Memory-optimized tables are tables that are stored in the RAM memory of the server. Some of the great advantages of working with “in-memory OLTP”, as it’s also known, include a greatly reduced number of latches and locks (accomplished with a form of row-versioning), which allows for a much larger number of concurrent users to work with the same data. With a few limitations, working with memory-optimized tables is transparent, so you’re using regular T-SQL DML commands.

Turns out, however, that SQL Server didn’t want to run memory-optimized code right out of the box on my VM. Instead, I got this:

Msg 41342, Level 15, State 2, Line 3
The model of the processor on the system does not support creating MEMORY_OPTIMIZED=ON. This error typically occurs with older processors. See SQL Server Books Online for information on supported models.

This message stems from the fact that the processor needs to support the CMPXCHG16B command (I have no idea what that does), which is available on pretty much any modern 64-bit processor. My physical processor is fairly new, so the issue is obviously with the VM software. In this case, it was just a matter of enabling a setting in VirtualBox, which can be done with the following command:

VBoxManage setextradata "Your VM" VBoxInternal/CPUM/CMPXCHG16B 1

I have no idea why this feature isn’t turned on by default, but once you’ve enabled it, it works like a charm. So, expect to see more blog posts about memory-optimized tables in the near future. :)

Manual transaction management

Transactions are great. They keep your data together atomically, so you’re not in for any nasty surprises. But even a novice knows better than to leave transactions open, waiting for user interaction. If you do, lock waits and probably deadlocks will pile up in no time.

So how do you book a flight without blocking all the other users or losing your seat to somebody else while you make up your mind?

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