![]() I have mentioned above that argument ALL is the default argument and will be used by SQL Server in case you will not specify any of these arguments. Let’s start with the first use case in which we will understand two arguments ALL and DISTINCT and their output. Use SQL SUM() function with the NULL value present in a numeric column Use SQL SUM() function with other aggregate functions like MIN, MAX & AVG Use SQL SUM() function with GROUP BY, HAVING, and ORDER BY statements Use SQL SUM() function with ALL and DISTINCT arguments Here, I will explain below the use cases of the SQL SUM() function in their respective section. Now, I will show you all the use cases on this table and the data that is shown in the below image. You can also create this test table and insert some dummy data using the below query.īelow is the table in which I have created and inserted a few rows using the above query in the test database TESTDB. I have also inserted a few rows in this table for our use cases. Two columns Price and Quantity are numeric data types as shown in the below query. The name of these columns is ProductName, Price, Quantity, InvoiceMonth, and City. Table Sales has 5 columns to store sales-related data. I have created a new table named Sales in my test database TESTDB for this demonstration. Next, I will provide you with the details about my source table on which I will demonstrate all use cases of the SQL SUM function. Expression is a column, function, or any combination of the arithmetic, bitwise, and string operators.DISTINCT as its name suggests, SQL Server only considers unique values to return the result and duplicate values will be ignored. ![]() It is the default argument and if you will not specify any argument then SQL Server considers it as ALL and return the result accordingly ALL means all values will be considered to get the result.The syntax of this function is given in the below statement. This function will ignore NULL values present in the columns. The SQL SUM() function returns the sum of all values or the sum of only values specified through conditional expressions. This article is intended for the SQL SUM () function so let’s start discussing this in this article. There are additional aggregate functions as well in SQL Server which I have listed below for your reference: The SQL SUM function is an aggregate function that is used to perform a calculation on a set of values from a specified expression and return a single value in their output. We can use SQL Server system function SUM () to easily get the sum of the values stored in a numeric column of the table. One such requirement is to get the sum of values stored in a numeric column. SQL Server offers various system functions which I have listed below to get these mathematical calculations easily by using them. There are various mathematical calculations we need to do in day-to-day business requirements. In this tutorial, we have used a simple example to demonstrate how you can delete rows based on duplicates in one column in Excel to highlight a particular set of data.Today, I will describe the SQL SUM () function along with its use cases in this article. Then, in the pop-up checkbox only select the columns you want to delete duplicates from and click OK to complete the task. StepĬonsider an Excel sheet where you have columns with duplicate rows.įirst, select the range of cells, click "Data," and select remove duplicates. ![]() So, let us see a simple process to learn how you can delete rows based on duplicates in one column in Excel. Here we will use the Remove Duplicate function to complete the task. So let's get started and learn how to eliminate rows in Excel based on duplicates in one column! Delete Rows Based on Duplicates in One Column By the end of this session, you'll know how to discover and remove duplicate rows based on values in a certain column, which will help you optimise your data management routine. We will assume that you have a basic familiarity of Excel and its functionalities throughout this course. Excel provides several ways for rapidly identifying and deleting duplicate rows, and we will go over one of them step by step. We can ensure data integrity and improve the accuracy of our analyses by removing duplicate rows. Duplicates are common in datasets, producing duplication and making analysis and working with the data more difficult. This lesson will go through how to remove duplicate rows depending on values in a certain column. Excel has a number of sophisticated features and functions that can assist us in streamlining our data manipulation procedures. Data management can be difficult at times, especially when dealing with huge datasets.
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