How to remove duplicates in mysql

1. How to remove duplicates in SQL?
2. How to avoid duplicates in MySQL?
3. How do I select duplicates in SQL?
4. Does SET () remove duplicates?
5. How do I avoid duplicates in SELECT query?
6. Can SQL query automatically eliminate duplicates?
7. How do I select duplicate records in SQL?

How to remove duplicates in SQL?

According to Delete Duplicate Rows in SQL, you can also use the SQL RANK feature to get rid of the duplicate rows. Regardless of duplicate rows, the SQL RANK function returns a unique row ID for each row. You need to use aggregate functions like Max, Min, and AVG to perform calculations on data.

How to avoid duplicates in MySQL?

Note − Use the INSERT IGNORE command rather than the INSERT command. If a record doesn't duplicate an existing record, then MySQL inserts it as usual. If the record is a duplicate, then the IGNORE keyword tells MySQL to discard it silently without generating an error.

How do I select duplicates in SQL?

To select duplicate values, you need to create groups of rows with the same values and then select the groups with counts greater than one. You can achieve that by using GROUP BY and a HAVING clause.

Does SET () remove duplicates?

Set does not allow duplicates and sets like LinkedHashSet maintains the order of insertion so it will remove duplicates and elements will be printed in the same order in which it is inserted. Convert the formed set into array.

How do I avoid duplicates in SELECT query?

If you want the query to return only unique rows, use the keyword DISTINCT after SELECT . DISTINCT can be used to fetch unique rows from one or more columns. You need to list the columns after the DISTINCT keyword.

Can SQL query automatically eliminate duplicates?

Explanation: An SQL does not remove duplicates like relational algebra projection, we have to remove it using distinct.

How do I select duplicate records in SQL?

To select duplicate values, you need to create groups of rows with the same values and then select the groups with counts greater than one. You can achieve that by using GROUP BY and a HAVING clause.