Memory Optimized Tables in SQL Server

Sometimes when I try to learn about a concept my brain blocks out everything about it. Talking about anything that uses the “In Memory” concept tends to do this to me on occasion. It’s important to note that “In Memory” is a marketing term for a series of features in SQL Server that have common behaviors but are not inherently related. So, in my next few blogs I am going to attempt to explain some In-Memory concepts as it relates to SQL Server starting with a dive into Memory Optimized Tables. I’ve already written about Columnstore which has vastly different… Continue Reading

Trace Flags That Are Now Defaulted Behaviors in SQL Server

If you have ever attended one of my performance tuning sessions, you know I tend to talk about  trace flags.  Trace Flags can help fix performance issues and some are now defaulted in later SQL Server versions. In my opinion, when a trace flag’s behavior defaulted in a version, then you should potentially put them in place within environments that do not have them implemented. Below, are a few of these particular traces flag along with Microsoft’s definition of what each trace flag does, taken straight from MS documents.  I have also included a brief commentary on each one.  As… Continue Reading

Introduction to the performance features on SQL Server on Linux

I’ve been tinkering with SQL Server on Linux lately and noted a few things in regards to performance I thought I would share with you. SQL Server 2019 on Linux uses the same SQL Server database engine with many of the performance features and services you would find on Windows. There are more similarities than you would initially think. However, if you’re a Linux user who is new to SQL Server, I thought the following introduction to some performance features on SQL Server 2019 on Linux will be helpful. Columnstore index As I’ve written about before in my 3-part blog… Continue Reading

Install ALL Things SQL Server… What?

Does your server look like this? Many of us have inherited a SQL Server instance that has all SQL Services installed. Someone, maybe even you, went through the SQL Server installation process using GUI and checked every option available to them, then just clicked Next, Next, Next and then Install. If this is your environment, please take a moment to evaluate and decide which of these services that are required. From a performance tuning perspective, it is important to only run the services that you need. Each of these services can consume resources on your server. Sharing resources reduces what… Continue Reading

SQL Server Statistics Health Reminder

I’ve written about statistics in SQL Server a few times now. Through conversations  I am reminded that not everyone keeps their table statistics up to date. Keeping your statistics up to date is one of the more critical components of SQL Server performance issues. Please be sure you are doing more than just index maintenance to maintain your statistics.  Index maintenance  only maintains statistics created by indexes and single field predicate created table statistics. There are also column statistics that need to be maintained that are created by predicates usage in your queries or even manually created. For each insert,… Continue Reading

What SQL Server Performance & Management Tools Do I Use?

Several times I’ve been asked what tools are in my performance tuning and SQL Server management arsenal, so I decided to just create this blog to list them out for you. Keep in mind, these are ones I personally use. There are many more out there that the community uses. Feel free to comment with any you may use that is not on my list. Community Tools (Free)   Ola Hallengren’s Maintenance Scripts- Index Maintenance, Integrity and Backup Scripts https://ola.hallengren.com/sql-server-index-and-statistics-maintenance.html   Glenn Berry’s Diagnostic Scripts -Various scripts based on DMVs to extract SQL Performance statistics and information  https://www.sqlskills.com/blogs/glenn/category/dmv-queries/   Adam… Continue Reading

Understanding Columnstore Indexes in SQL Server Part 3

My last two blogs were on understanding columnstore and creating columnstore indexes. In this post, I will touch on one last topic, when to use columnstore indexes. As noted in my prior posts these indexes are designed for large data warehouse workloads, not normal OLTP workload tables. As with any index design it is important to know your data and what you will be using the data for. Be sure to look to what types of queries you will be running against it, as well as how the data is loaded and maintained. Let’s look at a few questions you… Continue Reading

Understanding Columnstore Indexes in SQL Server Part 2

In my last blog I explained what a columnstore index is, in this blog, we will dive into creating a clustered columnstore index and look at the performance differences the index can make. Let’s get started. Using AdventureworksDW2016CTP3 we will work with the FactResellerSalesXL table which has 11.6 million rows in it. The simple query we will use as a demo just selects the ProductKey and returns some aggregations grouping them by the different product keys. First, we will run the query with no existing columnstore index and only using the current clustered rowstore (normal) index. Note that I turned… Continue Reading

Understanding Columnstore Indexes in SQL Server Part 1

Recently I reviewed filtered indexes, this time let’s look at columnstore indexes. These indexes are very useful for data warehouse workloads and large tables. They can improve query performance by a factor of 10 in some cases, so knowing and understanding how they work is important if you work in an environment with larger scaled data. Now, I admit when these first were introduced in SQL Server 2012 I found them very intimidating (additionally, you couldn’t update them directly). For me, anytime you say columnstore, my mind tends to set off alarms saying wait stay away, this is too complicated.… Continue Reading

Comparing Execution Plans

When you run a query twice, and get dramatically different run times, your first step can be to try to identify the differences in execution plans. For many that means running  the two different queries (before & after) and splitting you screen in order to visually compare the plans. Did you know SQL Server Management Studio gives you the option to compare to different execution plans? It makes it easy not only to visualize the differences, but it also shows you detail properties that allow you to dive into the numbers. This functionality was introduced with SQL Server 2016, and… Continue Reading