Linked servers allow to access data from another SQL Server or another data source (e.g. Excel) by using SQL Server Management Studio (SSMS) or Transact-SQL.
This article will explain how to create and configure a linked server to retrieve data from an Azure SQL database. Also, we will explain how to solve some common problems/issues during the process of creating a linked server to an Azure SQL database.
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This articles gives you a performance comparison for NOT IN, SQL Not Exists, SQL LEFT JOIN and SQL EXCEPT.
Today’s businesses work with huge volumes of data. Sometimes, understanding the granularity of the data is helpful in data administration. Understanding the granularity poses unique challenges though and the database administrator needs to balance the key business and technical metrics of the environment. One of the key technical metrics is disk space estimation, which is vital to capacity planning and forecasting. The simplest way to get this information is by using the system stored procedure, called, sp_spaceused. The growth metrics can be captured periodically and stored in a central repository, a repository dedicated to helping with capacity planning and forecasting the disk requirements. This is a critical part of the day-to-day activities of a database administrator.
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Having worked in busy dev-test environments, it isn’t uncommon to come across situations where someone detached a database from an SQL server, but forgot to reattach it, or drop it from the server. The next task we are then required to undertake, upon coming across such a situation, is to clean up the traces. This task can be complicated if the detached databases get deregistered from the SQL Server metadata catalog.
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In earlier versions, SSMS was included in the SQL Server installer. Now it is a tool that is installed separately.
In this new article, we will emphasize PowerShell and DAX. PowerShell is handled in a different way than it was in SQL Server 2016. We will give you some tips to handle these differences. In the second part of the article, we will talk about DAX. If you do not have experience with DAX, we will give you an introduction to Multidimensional, Tabular databases and you will be able to understand the new features and run your first DAX query in the new SSMS 17.
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There have always been some undocumented objects in SQL Server that are used internally by Microsoft, but they can be used by anybody that have access to it. One of those objects is a stored procedure called sp_MSforeachtable.
sp_MSforeachtable is a stored procedure that is mostly used to apply a T-SQL command to every table, iteratively, that exists in the current database.
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Database availability is critical to every enterprise and conversely, unavailability directly can create a severe negative impact to the business in today’s world. As database administrators, it is important that we ensure we take all possible steps to minimize data loss. While it is naïve to think that our databases are invincible because of all such precautions, we can always aim to bring the databases back into operation as quickly as possible by meeting the RPO and RTO. This way, the business is unaffected, and we also meet our SLAs.
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SQL server provides us with comparison operators to modify subqueries. This article will start with the definition of universal quantification, with a quick brush up with real life logical examples.
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The performance of a database is the most challenging and critical part of database optimization. The challenge every DBA faces is to identify the most resource-intensive databases. This article talks about the natively available features that can accomplish the task of getting the required details of the entire database at a granular level.
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Linked servers allow getting data from a different SQL Server instance using single T-SQL statement.
This article will explain how to create, configure and drop a SQL Server linked server using system stored procedures.
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In the previous article of this two-part series SQL Server SET Options that Affect the Query Result – SET ANSI_NULLS, SET ANSI_PADDING, SET ANSI_WARNINGS and SET ARITHABORT, we described the first four SQL Server SET options and showed practically how setting these options ON and OFF affects the SQL Server Database Engine behavior and the query result. To recall, SQL Server SET options are a group of session-level options that control how the SQL Server behaves on the database session level, and the option value can be changed using the SET T-SQL command for the current session that you execute the SET command on.
In this article, we will describe another five SET options and see how turning it ON and OFF will change the SQL Server behavior and the query result.
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SQL Server provides us with a number of options to control SQL Server behavior on the connection level. These session-level options are configured using the SET T-SQL command that change the option value for the session on which the SET command is executed. Changing the default value of these session-level configuration affects how the session queries will be executed affecting the query result. The performed change on a session-level option will be applied to the current session until its value is reset or until the current user’s session is terminated.
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Like any other enterprise RDBMS system, SQL Server ships with several built-in functions that make developers’ T-SQL code clean, convenient and reusable. To demonstrate the efficiency of functions, say we needed to retrieve a server name for one of our SQL Server instances. Well, one of doing this would be to write a SELECT statement that would query the system view [sys].[servers] from the master database as shown in Script 1.
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This article will provide an overview covering programmatically moving databases on the Azure Portal while avoiding common problems with users and logins.
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On the 19th of April 2017, Microsoft held an online conference called Microsoft Data Amp to showcase how Microsoft’s latest innovations put data, analytics and artificial intelligence at the heart of business transformation. Microsoft has, over the last few years, made great strides in accelerating the pace of innovation to enable businesses to meet the demands of a dynamic marketplace and harness the incredible power of data—more securely and faster than ever before.
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SQL Server 2017 has been in the talk for its many features that simplify a developer’s life. With the previous versions, developers had to write T-SQL, or user-defined functions using temporary tables, and build complex logic, just for string manipulation. In almost every database I work with, I see many user-defined functions for string manipulation and string aggregation.
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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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Context
Back in my days at school, I followed a course entitled “Object-Oriented Software Engineering” where I learned some “design patterns” like Singleton and Factory. If you are not familiar with this expression, here is a definition of a design pattern from Wikipedia:
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This article is the third and last one of a series of articles that aims to introduce set-based programming approach inside SQL Server, so using Transact SQL. In first article “An introduction to set-based vs procedural programming approaches in T-SQL”, we’ve compared procedural and set-based approaches and came to the conclusion that the second one can facilitate developer or DBA’s life. In second article “From mathematics to SQL Server, a fast introduction to set theory”, we’ve made the parallel between mathematical definition of set theory and its implementation in SQL Server. Now, we’ll discuss about some other features from T-SQL that can’t be left aside when considering sets.
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As a database administrator, sometimes you need to identify details about a problem as quickly as possible and being able to build and analyze data for analysis will help you solve the problem. From getting information about the latest backups, to saving information about waits or indexes and comparing that to other captured metrics, we will run into issues where being able to get, store and analyze data are important for decisions to solve urgent problems.
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In a software development life cycle, Code Review plays an integral role in improving the product quality. Having a Code Review Checklist is indispensable since it ensures that the best practices are followed and reviews are performed consistently. It is essential for developers to be aware of the coding guidelines while working on their code changes. Catching a bug early in the process is inexpensive and easier to resolve, than compared with a bug caught later in the game. Having all the common mistakes added to the checklist document is a great way to create awareness and ensure good code quality over a period of time.
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In the previous article of this series “An introduction to set-based vs procedural programming approaches in T-SQL”, we’ve seen from a simple example that we could find actual benefit from learning set-based approach when writing T-SQL code.
In this article, we will carry on in this way by having a look at what a set is and what we can do with it in a mathematical point of view and how it’s implemented and provided to us in SQL Server. We will also have a look at more “realistic” examples using Microsoft’s AdventureWorks database.
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Most IT professionals started their studies or careers by learning programming languages like Basic, Cobol, C, Pascal, Java and so on. Those languages produce results using a sequence of operations or procedures. For this reason, this approach is called procedural programming.
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