![]() ![]() ![]() The below snippet depicts the syntax of the Postgres COUNT(col_name) function: SELECT COUNT(col_name) In PostgreSQL, the COUNT(col_name) function skips the null values and returns the rest of the records, including duplicates. How to Use COUNT(col_name) Function in PostgreSQL? It proves that the COUNT(*) function counted all the rows, including the duplicates and null. The output shows that the bike_details table has 10 rows. The following query will calculate the total number of rows in the bike_details table: SELECT COUNT(*) The bike_details table has some duplicates and null values. Here are the details of the bike_details table: We have created a bike_details table that contains some redundant/duplicated data. The below snippet illustrates the syntax of the Postgres COUNT(*) function: SELECT COUNT(*)ĬOUNT(*) function will fetch all the rows(including duplicates and NULL) from the targeted table based on the specified condition.Įxample: How Does the COUNT(*) Function Work in PostgreSQL? In PostgreSQL, the COUNT(*) function is used to get all the rows, including duplicates and NULL. How to Use COUNT(*) Function in PostgreSQL? Let’s learn the working of the COUNT() function through Practical examples. Each implementation of the COUNT() function serves a different functionality. There are multiple ways to use the COUNT() function, such as COUNT(*), COUNT(col_name), and COUNT(DISTINCT col_name). It is an aggregate function that enables us to count the rows that meet the specified condition. The table rows can be counted using PostgreSQL's COUNT() function.
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