The sp_executesql is a built-in stored procedure in SQL Server that enables to execute of the dynamically constructed SQL statements or batches. Executing the dynamically constructed SQL batches is a technique used to overcome different issues in SQL programming sometimes. For example, when we want to determine the displayed columns in our reports, this procedure might be a solution option for us. In the simplest sense, this procedure takes a dynamically constructed SQL batch and other parameters, then execute it in the runtime and, finally, it returns the result.

In this article, we will explore the STRING_AGG function in SQL and we will also reinforce our learning with various examples. STRING_AGG function can be counted as a new member of the SQL aggregation functions and it was announced in SQL Server 2017. STRING_AGG function gathers all expression from rows and then puts it together in these rows expression in order to obtain a string. Additionally, this function takes a separator parameter that allows separating the expressions to be concatenated.

In this article, we will explore the table variable in SQL Server with various examples and we will also discuss some useful tips about the table variables.

In this article, we will learn the notions and usage details of the SQL variable. In SQL Server, local variables are used to store data during the batch execution period. The local variables can be created for different data types and can also be assigned values. Additionally, variable assigned values can be changed during the execution period. The life cycle of the variable starts from the point where it is declared and has to end at the end of the batch. On the other hand, If a variable is being used in a stored procedure, the scope of the variable is limited to the current stored procedure. In the next sections, we will reinforce this theoretical information with various examples

SQL WHILE loop provides us with the advantage to execute the SQL statement(s) repeatedly until the specified condition result turn out to be false.

In this article, we will learn the SQL multiple joins concept and reinforce our learnings with pretty simple examples, which are explained with illustrations. In relational databases, data is stored in tables. Without a doubt, and most of the time, we need a result set that is formed combining data from several tables. The joins allow us to combine data from two or more tables so that we are able to join data of the tables so that we can easily retrieve data from multiple tables. You might ask yourself how many different types of join exist in SQL Server. The answer is there are four main types of joins that exist in SQL Server. First of all, we will briefly describe them using Venn diagram illustrations: