Counting : COUNT « Aggregate Functions « SQL / MySQL






Counting

       
mysql>
mysql>
mysql>
mysql> CREATE TABLE sales_rep(
    ->   employee_number INT,
    ->   surname VARCHAR(40),
    ->   first_name VARCHAR(30),
    ->   commission TINYINT
    -> );
Query OK, 0 rows affected (0.01 sec)

mysql>
mysql>
mysql> INSERT INTO sales_rep values(4,'Rive','Mongane',10);
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO sales_rep values(5,'Smith','Mike',12);
Query OK, 1 row affected (0.00 sec)

mysql>
mysql> SELECT COUNT(surname) FROM sales_rep;
+----------------+
| COUNT(surname) |
+----------------+
|              2 |
+----------------+
1 row in set (0.00 sec)

mysql>
mysql> SELECT COUNT(*) FROM sales_rep;
+----------+
| COUNT(*) |
+----------+
|        2 |
+----------+
1 row in set (0.00 sec)

mysql>
To count the number of distinct surnames, you combine COUNT() with DISTINCT, as follows:
mysql>
mysql> SELECT COUNT(DISTINCT surname) FROM sales_rep;
+-------------------------+
| COUNT(DISTINCT surname) |
+-------------------------+
|                       2 |
+-------------------------+
1 row in set (0.00 sec)

mysql>
mysql> drop table sales_rep;
Query OK, 0 rows affected (0.00 sec)

mysql>
mysql>

   
    
    
    
    
    
    
  








Related examples in the same category

1.COUNT([DISTINCT] { | *})
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9.Put the COUNT( ) expression in a HAVING clause instead.
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15.Eliminating Duplicates from a Query Result
16.Removing Duplicates of a Particular Row
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19.How many messages were sent by each message sender
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21.Or to count weekend versus weekday trips
22.Count each value and see which one is most common
23.Generating Frequency Distributions
24.Relative frequency distributions
25.Counting Missing Values
26.Count them directly using SUM(ISNULL(score)).
27.Count the total number of rows
28.Categorizing Non-Categorical Data
29.Total number of the table vs unique values count
30.To produce a count-per-author summary that includes even authors with no books in the book table, use a LEFT J