In my previous article, Understanding common Data Structures, I have mentioned the most commonly used data structures in software programming. In this article, let us get into some more details about the other data structures that are a bit complex than the ones already discussed but also used quite often while designing software applications. Here, we will look into the following data structures.
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A naming convention is a set of unwritten rules you should use if you want to increase the readability of the whole data model. Today, I’ll try to explain how you should formulate your naming convention and, maybe even more important, why should you do it and what is the overall benefit from using it.
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In this article, I am going to give a detailed explanation of how to use the SQL MERGE statement in SQL Server. The MERGE statement in SQL is a very popular clause that can handle inserts, updates, and deletes all in a single transaction without having to write separate logic for each of these. You can specify conditions on which you expect the MERGE statement to insert, update, or delete, etc.
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In this article, we will learn the concept of SQL tables and then work on how we can create tables with different techniques in SQL Server.
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In this article, I am going to walk you through the concepts of the common Data Structures that every student, colleague working with computers should be aware of. Data Structure forms an integral part of any system or database design. It is a very interesting and intuitive concept that you can apply anywhere. Through this article, I aim to introduce the beginners to the concepts of Data Structures and brush up the same for colleagues who have already been associated with the industry for years. This will also help you understand some database concepts more easily once you have a grasp over these concepts.
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This article will get you familiar with the SQL UPDATE syntax and demonstrate how this statement can be used for modifying data using T-SQL. Data modification side of DML language in T-SQL includes three statements used for modifying data in SQL Server and those are: INSERT, UPDATE, and DELETE. The focus here will be on the UPDATE statement explicitly.
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Deleting and updating data is very common, but if performed without taking care, which could lead to inconsistent data or data loss. Today, we’ll talk about SQL best practices when performing deletes and updates. We’re not talking about regular/expected changes, but rather about manual changes which will be required from time to time. So, let’s start.
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In this article, we will introduce SQL queries hint and will analyze the OPTION(Fast ‘N’) hint in detail.
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In this article, we will briefly explain the SUBSTRING function and then focus on performance tips about it.
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SQL Server cursors are one common topic on the Internet. You’ll find different opinions when to use them and when not to do it. Today, we’ll also talk about them and answer the question when (not) to use them.
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This article gives you an overview of Logon triggers in SQL Server and its usage to control SQL Server authentication.
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In this article, we will explore the process of rollback an explicit SQL Server transaction. We will also explore the difference between explicit and implicit transactions.
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Loops are one of the most basic, still very powerful concepts in programming – the same stands for SQL Server loops. Today, we’ll give a brief info on how they function and introduce more complex concepts in upcoming articles of this series.
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In the article, a CASE statement in SQL, we explored one of the important logical expressions – the Case statement in SQL Server to return the values based on the specified condition. Today, we will talk about another useful logical Choose() function in SQL Server 2012 onwards and its comparison with the Case statement.
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The T-SQL ORDER BY clause sorts SQL Server SELECT statement result sets, and it becomes important when we build stored procedures. Unfortunately, the syntax offers no flexible way to directly control the ORDER BY clause behavior with argument values. This means we don’t have an easy way to control the specific column or columns that the ORDER BY clause sorts. Additionally, SQL Server does not offer a flexible way to directly control the ascending or descending order of any ORDER BY clause column with argument values. Of course, we can certainly hard-code the ORDER BY clause in a stored procedure, but this approach becomes fixed in stone. We could try a dynamic SQL solution, involving a stored procedure code that dynamically builds and executes SQL Server statements inside a stored procedure. However, this technique becomes tricky, and it can lead to SQL injection attacks. Other techniques might rely on CASE statements, and their complexity can become overwhelming as the column count grows. This article spotlights a clean, efficient, pinpoint T-SQL stored procedure technique that directly sorts one, some, or all SELECT statement result set columns. The technique avoids dynamic SQL, and it operates directly in a stored procedure. The article also shows how to set the ascending or descending sort order of specific columns.
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In the previous article, Learn SQL: SQL Server Pivot Tables, we’ve discussed how to create a report using a PIVOT table query. We’ve created such a report directly in the SQL Server. In this article, we’ll do the same, but this time we’ll use SQL Server export to Excel. So, let’s start.
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In the previous few articles in this series, we’ve set the foundations on how to create a report. We’ll take one step further and see how to use the SQL Server PIVOT table operator. We’ll start from the simple query and slowly progress towards dynamic SQL and PIVOT. Let’s start.
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Lever T-SQL to handle duplicate rows in SQL Server database tables article highlighted T-SQL features that detect and handle duplicate SQL Server table rows. The techniques work well, but they rely on fixed duplicate row definitions. This article extends those techniques, showing how to define duplicate rows in a dynamic way.
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In the previous two articles of this series, we’ve discussed how to create a report and how to use built-in date and time functions. Today, we’ll join these two together and analyze some interesting queries we could use while creating more complex SQL Server reports where date and time functions are used to create reporting categories.
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In this article, we will learn different methods that are used to update the data in a table with the data of other tables. The “UPDATE from SELECT” query structure is the main technique for performing these updates.
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Duplicate rows in a SQL Server database table can become a problem. We will see how we can find and handle those duplicate rows using T-SQL in this article.
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So far, we haven’t talked about SQL Server date and time functions. Today we’ll change that. We’ll take a close look at the ones most frequently used and mention all other date and time functions as well. This will be also the first step to create reports, including date and time functions. We’ll do that in upcoming articles in this series.
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In the previous two articles, we’ve practiced SQL queries and went through a few more examples. Today we’ll use SQL queries and create a report from scratch. We’ll start from the simplest possible query and finish with the query returning the actual report data.
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Pagination is a process that is used to divide a large data into smaller discrete pages, and this process is also known as paging. Pagination is commonly used by web applications and can be seen on Google. When we search for something on Google, it shows the results on the separated page; this is the main idea of the pagination.
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In the previous article we’ve practiced SQL, and today, we’ll continue with a few more SQL examples. The goal of this article is to start with a fairly simple query and move towards more complex queries. We’ll examine queries you could need at the job interview, but also some you would need in real-life situations. So, buckle up, we’re taking off!
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