The way to query duplicate data in SQL is to use the GROUP BY clause to group the required columns. Use the HAVING clause to specify filter conditions for duplicate data.
SQL command to query duplicate data
How to query duplicate data
In SQL, querying duplicate data can be achieved by using the GROUP BY
and HAVING
clauses.
Steps
- Group the desired columns using the
GROUP BY
clause. - Use the
HAVING
clause to specify filter conditions for duplicate data.
Syntax
SELECT column_name(s) FROM table_name GROUP BY column_name(s) HAVING COUNT(*) > 1;
Example
Suppose there is a table named students
, containing the following data:
student_id | name |
---|---|
1 | John Doe |
2 | Jane Smith |
3 | John Doe |
4 | Mary Johnson |
To query the duplicate name in the
students table
fields, you can use the following query:
SELECT name FROM students GROUP BY name HAVING COUNT(*) > 1;
Output
<code>John Doe</code>
Other examples
- Query
orders
Duplicateproduct_id
fields in the table:
SELECT product_id FROM orders GROUP BY product_id HAVING COUNT(*) > 1;
- Query
employees
Duplicateemail## in the table # field and display the number of repetitions:
SELECT email, COUNT(*) AS count FROM employees GROUP BY email HAVING COUNT(*) > 1;
Note
- ##COUNT(*)
- The function counts the number of repetitions in each group Rows. The conditions in the
- clause can be based on aggregate functions such as
COUNT
,SUM
, andAVG
.
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