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General

Can you use distinct command for more than one column?

Standard

Can you use distinct command for more than one column?

Table of Contents

The DISTINCT clause is used in the SELECT statement to remove duplicate rows from a result set. The DISTINCT clause keeps one row for each group of duplicates. The DISTINCT clause can be applied to one or more columns in the select list of the SELECT statement.

How do I use distinct for only one column in MySQL?

To get unique or distinct values of a column in MySQL Table, use the following SQL Query. SELECT DISTINCT(column_name) FROM your_table_name; You can select distinct values for one or more columns. The column names has to be separated with comma.

Does distinct apply to all columns SQL Server?

SELECT DISTINCT FIELD1, FIELD2, FIELD3 FROM TABLE1 works if the values of all three columns are unique in the table. If, for example, you have multiple identical values for first name, but the last name and other information in the selected columns is different, the record will be included in the result set.

How can I get distinct values from multiple columns in SQL?

DISTINCT on multiple columns

Sample Select statement.
Select with distinct on two columns.
Select with distinct on three columns.
Select with distinct on all columns of the first query.
Select with distinct on multiple columns and order by clause.
Count() function and select with distinct on multiple columns.

How do you exclude duplicates in SQL?

SELECT [ALL | DISTINCT] columns FROM table; If a table has a properly defined primary key, SELECT DISTINCT * FROM table; and SELECT * FROM table; return identical results because all rows are unique.

How do I limit duplicates in SQL?

The go to solution for removing duplicate rows from your result sets is to include the distinct keyword in your select statement. It tells the query engine to remove duplicates to produce a result set in which every row is unique.

How do I find duplicate rows in SQL based on one column?

How to Find Duplicate Values in SQL

Using the GROUP BY clause to group all rows by the target column(s) – i.e. the column(s) you want to check for duplicate values on.
Using the COUNT function in the HAVING clause to check if any of the groups have more than 1 entry; those would be the duplicate values.