The concept of snapshot replication is simple. It generates and distributes the snapshot of schema and data of articles, appeared at a specific time and updates the changes on subscriptions. When we create snapshot replication, SQL Server creates a Snapshot Agent Job which generates a snapshot of publication database objects. Snapshot is stored on either network location or on the hard drive. You can define the interval to generate the snapshot using the SQL Job schedule. Read More
In this article, I am going to demonstrate how to create transactional replication.
Transactional replication generated a snapshot of publication DB objects and data within it. After the snapshot is generated, all the data changes and schema changes occurred on the publisher database are delivered to subscriber databases. In transactional replication, data and schema changes are almost real-time, hence transactional replication can be used to offloading reports and sometimes can be used as DR Site.
This article provides a walkthrough of database unit testing a stored procedure which contains a utility procedure within it.
In this article, I am going to discuss a database unit testing scenario when a main stored procedure depends on a utility procedure and the main procedure needs to be unit tested in order to make sure that the requirements are met. The key is to ensure that a unit test can only be written for a single unit of code which means we need one unit test for the main procedure and another unit test for the utility procedure. Read More
When testing the functionality of your application or the performance of a specific stored procedure or an ad-hoc query in the development environment, you need to have data stored in your development databases typical or similar to the data stored in the production databases. This is because the performance of a query that is processing 50 records will be different from the performance of the same query that is processing 50M rows. Restoring a copy of the production database to the development database server for testing purposes is not always a valid option, due to the critical data that is stored in these databases and should not be open for all employees to see, unless you are developing a new application and there is no production database yet.
The best and most secure alternative is to fill the development database tables with testing data. Test data generation is useful for testing the performance of the application or a new functionality without changing the production data. There is no single straight-forward way to generate test data that will fit all scenarios, especially when you need to generate large amount of data to test the performance of complex queries and transactions in which you should cover all possible combinations of testing cases. Read More
Real-world database applications need to make multiple requests from the front end to the database in order to carry out all sorts of functions.
If an application is data-intensive, such as the ones used in banks or airports etc, the number of data trips can be huge. Each request to a database utilizes bandwidth and requires time to execute. Without the table-valued parameters, a front application needs to make multiple data trips in order to manipulate multiple rows of data. However, with table-valued parameters, multiple rows can be inserted, updated and deleted from a database using a single parameterized command that takes a table-valued parameter. Read More
A database can have hundreds of thousands of records. It is easy to insert and select these records via database management systems like SQL Server or MySQL etc. However, it is not easy to display thousands of records on a single webpage or in a desktop application. Space and memory constraints make it difficult to display a huge number of records all at once.
A common solution to such a problem is to implement paging. (Note, this is not memory paging implemented by operating systems) Paging in programming refers to displaying data via a series of pages. A random Google search may result in thousands of results. Google uses paging to display these results. If you scroll down the Google page with search results you would see the following:
Here you can see the number of pages that the search result is divided into. You can click the Next link to see more pages.
In this article, we will see how OFFSET FETCH NEXT operators can be used to implement paging on front-end applications. We will begin with a simple example using the OFFSET FETCH NEXT operator and will then see how it can be practically used with the help of a stored procedure.
In the software programming world, there are several approaches used by developers that help them with effortless software development. Design patterns, object-oriented programming, test driven development are some of them. If we particularly mention the code reuse; “Reuse of a typed code. It is written once and can be used in most places. It is a basic concept of software engineering. It is a structure necessary for modular programming. ”
For this reason, user-defined functions in SQL Server help us to avoid rewriting of T-SQL queries. At the same time, they improve code readability. In this post, we will discuss the pros and cons (advantages and disadvantages) of the traditional and natively compiled scalar user-defined functions and make a simple performance test.
The RANK, DENSE_RANK and ROW_NUMBER functions are used to retrieve an increasing integer value. They start with a value based on the condition imposed by the ORDER BY clause. All of these functions require the ORDER BY clause to function properly. In case of partitioned data, the integer counter is reset to 1 for each partition.
In this article, we will study the RANK, DENSE_RANK and ROW_NUMBER functions in detail, but before that, let’s create dummy data that these functions can be used on unless your database is fully backed up. Read More
Both EXCEPT and NOT IN operators are used to filter records from a table based on a specific criterion. In this article, we will look at these operators in detail and will investigate the differences between them. Read More
Computer programming language is a set of detailed instructions for computers or machines for performing specific actions. Through a programming language, we can control the behavior and output of a computer via accurate algorithms. A programming language is also called a computer language or programming system. The computer performs with various programming languages, such as SQL, Java, C++, Python, etc.. These languages allow computers and machines processing the large and complex data more effectively and quickly. That is the reason we find them valuable to organizations, particularly in the creation of system database management services. Read More