Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Retrieving Distinct Rows | Retrieving Data
Introduction to SQL
course content

Course Content

Introduction to SQL

Introduction to SQL

1. Retrieving Data
Retrieving Individual ColumnsRetrieving Multiple Columns Retrieving All ColumnsRetrieving Distinct RowsLimiting ResultsChallenge: Find the Population of the CountriesChallenge: Find All CountriesChallenge: Find All Countries With Their IDsChallenge: Find Country CapitalsChallenge: Find the Regions in Which All Countries Are Located
2. Sorting Retrieved Data
Sorting DataChallenge: Population SortSorting by Multiple ColumnsChallenge: Dual-Sort QuerySpecifying Sort DirectionChallenge: Sort the Countries by Region and CapitalChallenge: Sort Capitals in Descending OrderChallenge: Sort Countries in Ascending OrderChallenge: Find Countries, Their IDs, and Their PopulationsChallenge: Find Countries, IDs, Populations, Regions, and Sort ThemChallenge: Find All Continents and Sort Them in Ascending Order
3. Filtering Data
Using the WHERE ClauseChallenge: North America Population SortThe WHERE Clause Operators Challenge: Population Threshold QueryChecking for a Range of ValuesChecking for NO Value
4. Advanced Data Filtering
Using the AND OperatorChallenge: Europe Region SortUsing the OR operatorChallenge: America Regions FilterUsing the NOT OperatorChallenge: Non-Europe Capitals Sort
5. Aggregate Functions
The AVG() FunctionChallenge: Large Surface Area AverageThe COUNT() FunctionChallenge: Continental CountThe MAX() FunctionThe MIN() FunctionChallenge: Surface Area SelectionThe SUM() Function

bookRetrieving Distinct Rows

Note that the SELECT statement returns all rows in a given column. However, what if we don't need all the values ​​from a column, especially when they are duplicated, and we only need unique values? For such cases, it is convenient to use the keyword DISTINCT, placed immediately before the column names. Let's take a look at an example:


              
1

            
SELECT DISTINCT region FROM country;
copy

Here's a short example of the country table:

Task

You have to retrieve distinct (unique) continent values.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 4
toggle bottom row

bookRetrieving Distinct Rows

Note that the SELECT statement returns all rows in a given column. However, what if we don't need all the values ​​from a column, especially when they are duplicated, and we only need unique values? For such cases, it is convenient to use the keyword DISTINCT, placed immediately before the column names. Let's take a look at an example:


              
1

            
SELECT DISTINCT region FROM country;
copy

Here's a short example of the country table:

Task

You have to retrieve distinct (unique) continent values.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 4
toggle bottom row

bookRetrieving Distinct Rows

Note that the SELECT statement returns all rows in a given column. However, what if we don't need all the values ​​from a column, especially when they are duplicated, and we only need unique values? For such cases, it is convenient to use the keyword DISTINCT, placed immediately before the column names. Let's take a look at an example:


              
1

            
SELECT DISTINCT region FROM country;
copy

Here's a short example of the country table:

Task

You have to retrieve distinct (unique) continent values.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Note that the SELECT statement returns all rows in a given column. However, what if we don't need all the values ​​from a column, especially when they are duplicated, and we only need unique values? For such cases, it is convenient to use the keyword DISTINCT, placed immediately before the column names. Let's take a look at an example:


              
1

            
SELECT DISTINCT region FROM country;
copy

Here's a short example of the country table:

Task

You have to retrieve distinct (unique) continent values.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 4
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
some-alt