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Databases store large volumes of data in various formats. But have you ever thought how to select data from database? Well, the SQL SELECT statement is used to retrieve the data from databases. In this article on SQL SELECT, I will discuss how to use the SELECT statement in SQL with various other commands.
The following topics will be covered in this article:
The SELECT statement is used to select a specific set of data from the database. The data returned by the SELECT statement is stored in a result table called as result set.
--To select few columns SELECT ColumnName1, ColumnName2, ColumnName(N) FROM TableName; -- To select complete data from the table SELECT * FROM TableName; --To select the top N records from the table SELECT TOP N * FROM TableName;
Moving on in this article on SQL SELECT, let us understand how to use the SELECT statement in various ways.
For your better understanding, I will be considering the following table.
StudentID | StudentName | Age | City | Country |
1 | Rohan | 23 | Mumbai | India |
2 | Sameera | 22 | Mumbai | India |
3 | Anna | 21 | London | United Kingdom |
4 | John | 19 | New York | USA |
5 | Alice | 22 | Berlin | Germany |
Let us look into each one of them one by one.
Here you mention the column names for which you wish to retrieve data.
Example: Write a query to retrieve the StudentID, StudentName and Age from the Students table.
SELECT StudentID, StudentName, Age FROM Students;
StudentID | StudentName | Age |
1 | Rohan | 23 |
2 | Sameera | 22 |
3 | Anna | 21 |
4 | John | 19 |
5 | Alice | 22 |
The Asterisk(*) is used to select all the data from the database/ table/ column.
Example: Write a query to retrieve all the details from the Students table.
SELECT * FROM Students;
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StudentID | StudentName | Age | City | Country |
1 | Rohan | 23 | Mumbai | India |
2 | Sameera | 22 | Mumbai | India |
3 | Anna | 21 | London | United Kingdom |
4 | John | 19 | New York | USA |
5 | Alice | 22 | Berlin | Germany |
That was the simple way to use the SELECT statement. Let us move forward in this article on SQL SELECT and understand how to use the SELECT statement with the other commands in SQL.
You can use the SELECT statement with the DISTINCT statement to retrieve only distinct values.
SELECT DISTINCT ColumnName1, ColumnName2,ColumnName(N) FROM TableName;
SELECT DISTINCT Age FROM Students;
Age |
23 |
22 |
21 |
19 |
Moving on in this article, let us understand how to use SQL SELECT with the ORDER BY clause.
As we all know that the ORDER BY statement is used to sort the results either in ascending or descending order. We can use the ORDER BY statement with the SELECT statement to retrieve specific data in ascending or descending order.
SELECT ColumnName1, ColumnName2, ColumnName(N) FROM TableName ORDER BY ColumnName1, ColumnName2, ... ASC|DESC;
Write a query to select all the fields from the students table ordered by city.
SELECT * FROM Students ORDER BY City;
Output:
StudentID | StudentName | Age | City | Country |
5 | Alice | 22 | Berlin | Germany |
3 | Ana | 21 | London | United Kingdom |
1 | Rohan | 23 | Mumbai | India |
2 | Sameera | 22 | Mumbai | India |
4 | John | 19 | New York | USA |
Write a query to select all the fields from the students table ordered by city in the descending order.
SELECT * FROM Students ORDER BY City DESC;
StudentID | StudentName | Age | City | Country |
4 | John | 19 | New York | USA |
1 | Rohan | 23 | Mumbai | India |
2 | Sameera | 22 | Mumbai | India |
3 | Ana | 21 | London | United Kingdom |
5 | Alice | 22 | Berlin | Germany |
Next in this article, let us understand how to use SQL SELECT with the GROUP BY statement.
The GROUP BY statement is used with the SELECT statement to group the result-set by one or more columns.
SELECT ColumnName1, ColumnName2,..., ColumnName(N) FROM TableName WHERE Condition GROUP BY ColumnName(N) ORDER BY ColumnName(N);
Example:
Write a query to list the number of students of each age.
SELECT COUNT(StudentID), City FROM Students GROUP BY City;
COUNT(StudentID) | City |
2 | Mumbai |
1 | London |
1 | New York |
1 | Berlin |
Next in this article, let us understand how to use SQL SELECT with the GROUP BY statement.
The HAVING clause can be used with the SELECT statement to retrieve data based on some conditions.
SELECT ColumnName1, ColumnName2, ColumnName(N) FROM TableName WHERE Condition GROUP BY ColumnName(N) HAVING Condition ORDER BY ColumnName(N);
Write a query to retrieve the number of students in each city where the number of students is > 1, and are sorted in a descending order.
SELECT COUNT(StudentID), City FROM Students GROUP BY City HAVING COUNT(StudentID) > 1 ORDER BY COUNT(StudentID) DESC;
Count(StudentID) | City |
2 | Mumbai |
This statement is used when you want to copy data from one table to the other table.
SELECT * INTO NewTableName [IN DatabaseName] FROM OldTableName WHERE Condition;
Write a query to create a backup of the Students database.
SELECT * INTO StudentBackup FROM Students;
You will see that the StudentBackup table will have all the fields from Students table.
StudentID | StudentName | Age | City | Country |
1 | Rohan | 23 | Mumbai | India |
2 | Sameera | 22 | Mumbai | India |
3 | Anna | 21 | London | United Kingdom |
4 | John | 19 | New York | USA |
5 | Alice | 22 | Berlin | Germany |
Example: Write a query to create a backup by selecting few columns of the Students table.
SELECT StudentName, Age INTO StudentBackup FROM Students;
You will see that the StudentBackup table will have the following fields from Students table.
StudentName | Age |
Rohan | 23 |
Sameera | 22 |
Anna | 21 |
John | 19 |
Alice | 22 |
Example: Write a query to create a backup by inserting all details of all those students who study in City ‘Mumbai’.
SELECT * INTO StudentsBackup FROM Students WHERE City = 'Mumbai';
StudentID | StudentName | Age | City | Country |
1 | Rohan | 23 | Mumbai | India |
2 | Sameera | 22 | Mumbai | India |
These were few ways to use the SELECT command. To get further knowledge go ahead and practice writing queries in SQL commands. With this we come to an end to this article on SQL SELECT.
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Got a question for us? Please mention it in the comments section of this article on SQL SELECT and I will get back to you.
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