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How Group By Clause Is Different From Order By Clause

author
Brent Mccoy
• Thursday, 10 December, 2020
• 7 min read

All the examples for this lesson are based on Microsoft SQL Server Management Studio and the AdventureWorks2012 database. The ORDER BY clause ’s purpose is to sort the query result by specific columns.

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Contents

The GROUP BY clause ’s purpose is summarized unique combinations of columns values. You can use this as a clue to understand that the ORDER BY statement is used to sort the final result of the query.

For instance, you can use aggregate functions such as SUM and AVERAGE to calculate values. We are grouping by SalesOrderID and summing each order ’s product prices to return the total.

ORDER BY is used to sort a result by a list of columns or expressions. GROUP BY is used to create unique combinations of a list of columns that can be used to form summaries.

A byproduct of this operation is that the grouping tend to be sorted; however, this isn’t a guarantee. Kris Denzel has been working with databases over the past 28 years as a developer, analyst, and DBA.

This clause sorts the result-set in ascending order by default. It is often used with aggregate functions for example:AVG(), MAX(), COUNT(), MIN() etc.

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Group by statement is used to group the rows that have the same value. Whereas Order by statement sort the result-set either in ascending or in descending order .2. It may be allowed in CREATE VIEW statement. While it does not use in CREATE VIEW statement.3. In select statement, it is always used before the order by keyword. While in select statement, it is always used after the group by keyword.4. Attribute cannot be in the group by statement under aggregate function. Whereas in order by statement, attribute can be under aggregate function.5. In group by clause, the tuples are grouped based on the similarity between the attribute values of tuples. Whereas in order by clause, the result-set is sorted based on ascending or descending order .6. Get hold of all the important CS Theory concepts for SDE interviews with the CS Theory Course at a student-friendly price and become industry ready.

GROUP BY and ORDER BY are two important keywords in SQL that we used to organize data. While both of them are used to arrange data based on their values, their use cases vastly differ from each other.

The data set contains more than 2000 craft beers and 500 breweries used in the United States. The data is included in CSV files, which you can easily import to any of your databases using a GUI tool.

One of my colleagues has shown how to do so in an example of Learn SQL's survey data. Before trying to understand the difference between GROUP BY and ORDER BY, let's see how the SELECT command works.

Let's SELECT the name, city, and state from every record in the breweries table. Now, the interesting thing is that someone who doesn't know how to use GROUP BY much could use ORDER BY to analyze data.

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This will give you a nice grouped result from which you can manually count the number of breweries from a given state. If you want to display data in a nice grouped way, ORDER BY is a good bet.

In most texts, GROUP BY is defined as a way of aggregating records by the specified columns which allow you to perform aggregation functions on non-grouped columns (such as SUM, COUNT, AVG, etc). In other words, the GROUP BY clause's purpose is to summarize unique combinations of columns values.

Let's group beers table based on style column. The real importance of GROUP BY can be seen when you use it with aggregate functions like SUM(), COUNT().

Here, SQL first groups results based on the style column. This situation occasionally tricks people into believing that GROUP BY sorts results.

In actuality, there is no guarantee that GROUP BY will display results in ascending order. Each employee belongs to a different department, like finance, IT, or transport.

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Now, suppose you want to get the sum of salaries you paid for employees based on their department. Suppose you have an e-commerce website that sells several product types.

For example, let's group the beers table based on style and brewery_id. This SQL query will divide style groups further using brewery_id.

Of course, as a result of sorting, data from the same values will be brought together as a group, which will make it easy for you to manually analyze later. But GROUP BY is the SQL way to analyze similar data.

Sometimes, GROUP BY can return results in sorted order, but you shouldn't rely on it. The order in which results are returned is non-deterministic and depends on how the db engine executes the query.

If you want to refine your knowledge of SQL ORDER BY vs. GROUP BY, check this practice set –it contains a special section dedicated to this subject. SQL allows to organize the data obtained by the query.

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Order By is used to arrange the data obtained as a result of a query in Sorted form. Attribute Attribute under Aggregate function can not be in Group By clause. Attribute under aggregate can be in Order By Clause. GroundDone on the ground of similarity among attribute values. Done on the ground of ascending order and descending order. Aggregate functions like avg, min, max, sum, count are applied to the single set of tuples.

SELECT Department _ID, avg(Salary) as avg_salary from Teacher Group By Department_ID. You can see that initially an intermediate result is formed that has grouped the departments. Next, the aggregate function avg is applied to each group of departments, and the result is shown below.

You can see that first, it arranges the Department _ID in ascending order and then it arranges the salaries in the same department in descending order. The attribute under aggregate function can not be under Group By clause whereas, the attribute under aggregate function can be there under Order By clause.

In case you want to arrange the data of a single column or, more than one column in the set of tuples in ascending or descending order then Order By clause must be used. The innovation of technology has brought about the computer system, which is used in performing different functions after getting instructions from specific inputs.

Some terms used in programming like order by and group by have proven to be a difficult task among individuals because they cannot tell the difference. Some activities carried out for aggregated results include summation, calculation of average, and counting among others.

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The term order by is used in computer programming to refer to the method of sorting out results so that they can display out a certain uniformity. People have a perception that the term order by and group by refer to the same thing but their definition shows something different.

The term order by refers to the process of organizing and sorting out data so that it displays a certain uniformity. Group by programming is assumed to have the most impact on the results because it completely changes the form of the data.

Group by will only perform aggregate and summation activities on the data that shares a significant number of similarities. The functions of each of these programming operations vary from one another and are used when an individual is geared towards achieving different results, which suits what he or she wants.

All those individuals who want to arrange data such that it helps them to achieve aggregate results so that they can calculate the mean, the minimum, the maximum, and average should use group by computer programming operations. Contrasting, any person who wants the data sorted out and later arranged in rows and columns for easier manipulation can only perform that operation by the use of order by programming method.

The GROUP BY clause is used with aggregate functions like COUNT, MAX, MIN, SUM, and AVG. To sort the records in descending order, use the Disc keyword.

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