When working with SQL databases, it's often necessary to determine the number of unique values in a particular column. This count provides valuable insights into the diversity and distribution of data within the table. While querying for distinct values is essential, obtaining the corresponding row count poses an additional challenge.
As described in the context, the DISTINCT keyword can be used in conjunction with SELECT to retrieve distinct values from a column. There are two common approaches:
These queries return the unique values of the specified column, but they do not provide the row count.
To obtain the row count of distinct values, it's necessary to combine the DISTINCT keyword with the COUNT aggregate function. This is achieved as follows:
SELECT COUNT(DISTINCT column_name) AS some_alias FROM table_name;
In this query:
Consider the following table customers:
customer_id | first_name |
---|---|
1 | John |
2 | Mary |
3 | David |
4 | John |
5 | Sarah |
To determine the number of distinct values in the first_name column, execute the query:
SELECT COUNT(DISTINCT first_name) AS distinct_names FROM customers;
This query returns the result:
distinct_names |
---|
4 |
This indicates that there are four unique first names in the customers table.
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