![]() SELECT 'Products' tablename, COUNT(*) rows FROM Products Using UNION, we can unite the result sets gained from every SELECT statement and apply count to get the number of rows of multiple tables in a database.įor example, we have executed a single SQL query below to return the row count of two tables, Customers and Products, from our sample database:Ĭode: SELECT 'Customers' tablename, COUNT(*) rows FROM Customers We can even use the UNION operator with the COUNT function to obtain the MySQL row count of two or more tables. If there is no match to a condition, it will return a NULL value, which means 0. Here we have used the IF() function in combination with to count() function to compare the different prices of the products to a given condition, and when the condition is matched, then it returns the result as above, where the count for three groups low, medium, high are divided that fulfills the expression demand. ![]() So, we can use this Price field to do the following query execution with the COUNT() and IF() functions in the SQL statement to return the result count:Įxplanation: From the above statement, we can see that based on the Price in the Products table, we have divided them into three groups named Low, Medium, and High. Here is a field called Price in the table every product has different prices recorded in that row. ![]() Let us consider the data from a table named Products with three fields ProductID, ProductName, Price, etc.: ![]() This will be pretty supportive for quick data analysis inside a database. You can associate Count() function with flow control functions to achieve better functionality.įor example, the flow control function IF() can be used with the expression that will be used for the Count() function in SQL Statement. The Count() function can be combined with the Flow Control functions. In the above example, we can add a Having clause to filter the result from the above query further:Ĭode: SELECT City, COUNT(*) FROM Customers GROUP BY City HAVING COUNT(*) >1 Įxplanation: Here, we have added count() with the HAVING clause, which results in the count of records from the table Customers GROUP BY City with a count greater than 1. We can also use MySQL Count() with The HAVINGClause in the MySQL statement. With the count(), we can use GROUP BY SQL clause so that it provides the number of records inside a group:Ĭode: SELECT City, COUNT(*) FROM Customers GROUP BY City Įxplanation: In the above example, count() with the GROUP BY keyword groups all distinct cities and returns the count of each one. We can also use the Count function like this MySQL COUNT() with GROUP BY. Now we will discuss onMySQLCOUNT(DISTINCT expression):Ĭode: SELECT COUNT(DISTINCT City) FROM Customers Įxplanation: Then, in this function, the DISTINCT keyword will show the count for the records that are unique, not duplicated or repeated, and the values that are not NULL. Suppose we have executed the following statement:Įxplanation: This count function will return the rows count from the result set, which may contain or not contain NULL values. The SQL query is:įor the same table, let us useMySQLCOUNT(*) function. Using the MySQL COUNT(expression) function to get all records from the table using an expression value that does not contain a NULL value. And this procedure and tracking table will be saved on the database called dbadmin.Note: In SQL, all the queries are case-insensitive. In this example, Im going to collect the row count of the tables from the database called prod_db. We’ll get the list of table names from the information_schema and use cursor to run select count(*) on that table and save the row count value to a table. So if you want to track your tables growth then you should do select count(*) from table_name for all the tables and insert the results to somewhere. It’ll show the row count of the tables during the last statistics update. Simply go and query the INFORMATION``_SCHEMA and get the row count for the tables. Getting the row count from mysql tables are not a big deal and even there is no need for a blog for this. !(/uploads/MySQL Exact Row Count For All The Tables.jpg “MySQL Exact Row Count For All The Tables”) Mysql MySQL Exact Row Count For All The Tables
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