SQLite GROUP BY Clause

SQLite Group By clause is one of the most frequently used clauses in the SQLite. It is used to group the similar data into groups. To group the data we need to apply the aggregate functions on the group of rows by defining the same values in the specified columns. For example, we have a products table and we have different products now what if we want to gather all the same products then here comes the SQLite Group by clause to group all the similar product_id values. This is the use of SQLite Group by Clause.

SQLite Group by clause is used after the Where clause, if the condition is satisfied then only the Group by clause works, and if you want to use the Order by clause then it is followed by Group by clause.

We can use multiple columns in the group by clause but you need to remember that the columns that you have mentioned must be in the table.

Syntax:

SELECT expression1, expression2, ... expression_n, aggregate_function (expression)
FROM tables
WHERE conditions
GROUP BY expression1, expression2, ... expression_n;

Explanation: In the syntax you can see that we are going to select the columns and applying the aggregate functions like SUM, COUNT, MAX, MIN and followed by the table from which you are going to fetch the data, where condition followed by the Group by expression. Where condition can be specified or not it is not necessary.

SQLite is a server-less database engine and it is written in C programming language. It is developed by D. Richard Hipp in the year 2000. The main moto for developing SQLite is to escape from using complex database engines like MYSQL etc. It has become one of the most popular database engines as we use it in Television, Mobile Phones, Web browsers, and many more. It is written simply so that it can be embedded into other applications.

In this article, you will learn about what you mean by SQLite Group By clause, how it works, and its functionality by using examples. Group By clause is used with the SELECT statement to arrange the different rows of data into one or more columns by grouping them.