Performance tuning

Prashanth Jayaram

How to Configure TDE database with AlwaysOn using the Azure Key Vault in SQL 2016

July 28, 2017 by

One of the recent tasks I undertook on configuring Transparent Data encryption (TDE) using asymmetric key protection with Azure Key Vault with Always On opened a different dimension on securing data for me. Even though it seems slightly complex, if you have the key details, the steps are in fact, really straight forward.

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Kaloyan Kosev

Performance tuning for Azure SQL Databases

July 21, 2017 by

With the latest versions of Azure SQL database, Microsoft has introduced a number of new mechanisms to help users and administrators better optimize their workload.

Automatic index management and Adaptive query processing provide us with the possibility to rely on the built-in intelligence mechanism that can automatically tune and improve the performance of our workload.

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Ahmad Yaseen

How to control online Index Rebuild Locking using SQL Server 2014 Managed Lock Priority

July 18, 2017 by

When you perform a SQL Server Online Index Rebuild operation, introduced for the first time in SQL Server 2005, the index will not be taken down. But at a specific point, in which the new index new is built and switched from the old structure of the index, a special kind of lock, Schema Modification (SCH-M), will be granted. This lock may cause blocking if your database server is busy.

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Jefferson Elias

How to use SQL Server Extended Events to parse Deadlock XML and generate statistical reports

June 29, 2017 by

Introduction

Context In previous article entitled “How to report on SQL Server deadlock occurrences“, we’ve seen how to extract deadlock information from either system_health or specialized Extended Event and store this information into a table in a SQL Server database. We also discussed a simple report which leads to the creation of a deadlock occurrences timeline. Read more »
Ed Pollack

Collecting, aggregating, and analyzing missing SQL Server Index Stats

June 27, 2017 by

Description

Indexing is key to efficient query execution. Determining what indexes are needed to satisfy production needs is often a game of cat and mouse in which we are forced to react to performance problems after they are brought to our attention. Being able to proactively monitor index needs and respond effectively before complaints are received can save us immense time while preventing costly performance messes.

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Nikola Dimitrijevic

All about locking in SQL Server

June 16, 2017 by

Locking is essential to successful SQL Server transactions processing and it is designed to allow SQL Server to work seamlessly in a multi-user environment. Locking is the way that SQL Server manages transaction concurrency. Essentially, locks are in-memory structures which have owners, types, and the hash of the resource that it should protect. A lock as an in-memory structure is 96 bytes in size.

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Daniel Tikvicki

How to monitor total SQL Server indexes size

June 12, 2017 by

SQL Server indexes overview

Just like a book index, SQL Server index has a similar purpose, to provide faster searching, gathering and sorting of information from a database, without need to go through all of the objects over and over. Instead, an index provides the gateway between the table rows and query engine, in order to achieve better both database and query performance.

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Sifiso Ndlovu

Understanding the Impact of NOLOCK and WITH NOLOCK Table Hints in SQL Server

June 6, 2017 by

Every once in a while, SQL Server database administrators find themselves in disagreements with their application developer counterparts – particularly when it comes to some of the latter’s Transact SQL (T-SQL) developmental practices. One of my first observations when I joined my current employer is that almost all T-SQL scripts written by application developers uses the NOLOCK table hint. However, from the interactions that I have had with these esteemed developers it doesn’t seem like they understand how the NOLOCK table hint works. Furthermore, although they seem to be aware of a distinction between NOLOCK and the WITH NOLOCK table hint, they again do not seem to comprehend how the two differ from one another. In this article, I explore the internal workings of the NOLOCK table hint and examine the implications of omitting the WITH keyword.

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Susantha Bathige

Understanding Skewed Data in SQL Server

May 22, 2017 by

Introduction

I recently did some research to analyze skewed data distribution in SQL Server. This article is the outcome of my analysis to share with SQL Server community.

SQL Server understands its data distribution using statistics. The SQL Server query optimizer then uses the statistics to calculate estimated row counts when executing the queries submitted by users. The accuracy of estimated row count is crucial to get optimal execution plans. The SQL Server query optimizer is a complex mathematical component and it does a decent job to create better execution plans during a very short period of time.

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David Alcock

Monitoring SQL Server with Dynamic Management Objects – Requests

May 17, 2017 by

In my last post, Monitoring SQL Server with dynamic management objects – Sessions and connections, I introduced the concept of using T-SQL queries to monitor SQL Server using Dynamic Management Views. The article demonstrated how we can use two views, namely sys.dm_exec_sessions and sys.dm_exec_connections to view activity on our instance of SQL Server and we achieved this by utilising some of the functionality available to us within T-SQL like joins, aliases and functions, all of which helped us develop a query to return monitoring information to us.

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David Alcock

Monitoring SQL Server with Dynamic Management Objects – Sessions and connections

May 12, 2017 by

A fundamental task of Database Administrators is monitoring SQL Server performance. Whilst SQL Server does give us a user interface inside management studio that enables us to view current activity (in the rather aptly named Activity Monitor) this article is going to focus on querying Dynamic Management Objects with T-SQL to return various pieces of useful process information that we can use to monitor server usage.

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Sifiso Ndlovu

How to use Columnstore Indexes to improve your Data Warehouse Staging Environment

May 4, 2017 by

My team and I were recently tasked with refactoring older data marts, particularly those that were created with SQL Server 2008 in mind. As we all know, SQL Server has undergone significant changes since the release of SQL Server 2008. One of those changes relates to the introduction of columnstore as an alternative to the traditional B-tree index (rowstore). Whilst most of the existing documentation relating to columnstore seem to focus on the benefit of columnstore against data warehouse workloads, in this article I argue that the usage of columnstore index should not be limited to facts and dimensions instead let’s introduce it in our data warehouse staging environments too.

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