I am very excited to announce I will be delivering a pre-conference session on SQL Server Performance Tuning on November 5th at PASS Summit 2019. If you have ever attended one of my sessions, you know how passionate I am about this particular topic. So, you also know how very excited I am to have this opportunity to spend a full day talking about SQL Server Performance Tuning and Optimization. Performance Tuning is one of my favorite things to do with SQL Server. There is nothing like seeing performance improvements in an environment as your reward for your hard work. It’s tangible and gratifying. In this session you will be…
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Another quick post of simple changes you can make to your code to create more optimal execution plans. This one is on implicit conversions. An implicit conversion is when SQL Server must automatically convert a data type from one type to another when comparing values, moving data or combining values with other values. When these values are converted, during the query process, it adds additional overhead and impacts performance. Here is a great chart by Microsoft that shows you conversions and which will cause an implicit or explicit conversion. In this post I will not go into explicit, just know that is what you explicitly tell SQL Server to CAST…
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One of the easiest things to fix when performance tuning queries are Key Lookups or RID Lookups. The key lookup operator occurs when the query optimizer performs an index seek against a specific table and that index does not have all of the columns needed to fulfill the result set. SQL Server is forced to go back to the clustered index using the Primary Key and retrieve the remaining columns it needs to satisfy the request. A RID lookup is the same operation but is performed on a table with no clustered index, otherwise known as a heap. It uses a row id instead of a primary key to do…
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Recently I had a client complain of chronic high CPU utilization. The performance of their SQL Server had degraded, and it appeared to be related to higher than normal CPU utilization in conjunction with symptoms of unresponsive user queries. The root cause was twofold—a third party hosting provider had overallocated virtual processors on the physical host where the virtual machine (VM) running SQL Server was residing, as well as a recent upgrade from a version of VMWare that was not patched for Spectre and Meltdown. The host had 16 physical cores and was hyperthreading (making it effectively 32 cores) until the hosting provider patched from VMWare 5.5 to a newer…
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Did you know compression can gain you more than just space on a disk, it can allow you to fit more data into the buffer pool? That means queries have faster and more efficient reads which can help reduce I/O. It is a performance tool I highly recommend you consider for your environments. But how do you know how much compression savings you can gain? SQL Server gives you a handy system stored procedure sp_estimate_data_compression_savings that will help you calculate compression gains. It’s a great tool to use when trying to decide if compression is right for your environment and what type to use. This procedure allows you to estimate…
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Statistics are the magic ingredient that helps the query optimizer create its best guess for generating an execution plan. Keeping statistics as accurate as possible will give the optimizer the information it uses to calculate estimated costs and cardinality, which enables it to properly allocate resources such as memory grants. In this blog I am not going to go into what statistics are and how they are used. There are many great resources out there to read, I am however going to tell you about a trace flag that can help you with keeping your large table statistics up to date. I will also explain why your statistics may not…
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We all have the need to collect system and performance information regarding our SQL Servers. Some of us use third-party tools, SQL Trace, or a homegrown solution. Did you know Microsoft has a built-in tool to help you accomplish this? It’s called Data Collection and the data it collects (collection sets) is stored in a relational Management Data Warehouse. The data collected is used to generate reports giving us in with very readable and useful insights to our servers. Not only can you get performance information, but you can also use SQL Profiler to export trace definition and create custom collection sets. This is not a new SQL Server feature,…
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Quite often I see database administrators set SQL Server max server memory thinking everything related to SQL Server uses this shared memory pool. This is a mistake. There are many things that rely on memory that are not part of SQL Server. Best practices state that you should leave memory allotted for the operating system. However, did you know that if you are running services like SSIS, SSAS or SSRS on the same server as the database engine that it does not use the same memory you have allocated for SQL Server? If the Max Memory setting is not configured correctly, these other serves could incur memory pressure. While the…
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Microsoft has long given us DBA tools and suggestions to help tune databases, to fix queries with indexes, and many times they were of questionable merit. We have all seen the dreaded dta_index names in a database and rolled our eyes knowing that sometimes these indexes are not what is needed. While the Database Tuning Advisor, has gotten better over time it is still not a tool more senior DBAs use. Microsoft made big steps in helping DBAs with performance with the introduction of Query Store in both Azure SQL Database and SQL Server 2016. Query Store collects execution and run-time performance information. Microsoft has taken an additional leap with…
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Following up on my last post about the Cardinality Estimator let’s talk about column statistics and how they work and play a part in execution plans. The cardinality estimator relies heavily on statistics to get the answer to selectivity (the ratio of distinct values to the total number of values) questions and calculate a cost estimate. This hopefully gives us the best possible execution plans for queries. In this post, I will show you where to find information about what your statistics contain and information regarding each of those fields. Then we will look at the impact of over and under estimations caused by stale or missing statistics (or even data…
