This is quite straightforward for a single table, but quickly gets tedious if there are a lot of tables, and also can be slow. I'm not have a permission for give the sample table data because its client production data (we should maintain confidentialy) and sory for that. How to Combine Select count(*) from multiple tables. ... db, '. Because the result should come 332 rows but 1 as Date will provide only one result because of Group By. ', tablename) separator ' union ') , ') t order by 3 desc') into @sql from ( select table_schema db, table_name tablename from information_schema.tables where table ... at any one point in time, there will be multiple versions of a row. For each count, mysql needs to walk thoughout the table, and this is a big problem if having long table and numerous queries. Table Counts for One Database. You can use the COUNT function in the SELECT statement to get the number of employees, the number of employees in each department, the number of employees who hold a specific job, etc. how to apply 1 as Date instead of Count (Distinct t. Date), thats not a right. select t1.rows + t2.rows as total_rows from ( select count(*) as rows from Table1 ) as t1 cross join ( select count(*) as rows from Table2 ) as t2 The cross join works because each derived table has only one row. The query is being executed for each row of the user due to _db.Users.Select statement.. You can use below query to get only counts from tables: var counts = new { count = _db.Users.Count(), acCount = _db.Users.Count(u => u.User.State == AccountState.AwaitingConfirmation) }; Introduction to SQL COUNT function. The counts all differed in the way they used specific predicates. Hi. The query above outputs a table that contains the row counts of all tables across the various schemas, first sorted by the table_schema column and for each table schema, sorted by the tables with the largest number of rows. The following colored tables illustration will help us to understand the joined tables data matching in the query. The second inner join clause that combines the sales table derived the matched rows from the previous result set. Here are a few ways of listing all the tables that exist in a database together with the number of rows they contain. I wonder if there is a way to make all counts in one query. If we run the above query on our test database, we should see the following output. An inner join clause that is between onlinecustomers and orders tables derived the matched rows between these two tables. SQL Code: SELECT( SELECT COUNT(*) FROM employees ) AS Total_Employees, (SELECT COUNT(*) FROM departments ) AS No_Of_Departments FROM dual Output: To get the number of rows in a single table we usually use SELECT COUNT(*) or SELECT COUNT_BIG(*). I have three tables (dataentry,Dat1,Dat2) as show below the relation between them ! The report looked roughly like this (as always, I'm using the Sakila database for illustration): And then, unsurprisingly, combinations of… At a customer site, I've recently encountered a report where a programmer needed to count quite a bit of stuff from a single table. Select COUNT(*) from multiple tables. The following query COUNT the number of rows from two different tables (here we use employees and departments) using COUNT(*) command. There isn’t any way to separate the counts as separate columns, though, is there? 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