Count number of rows containing duplicated names : COUNT « Aggregate Functions « SQL / MySQL






Count number of rows containing duplicated names

        
mysql>
mysql> CREATE TABLE cat_mailing
    -> (
    ->  last_name       CHAR(40) NOT NULL,
    ->  first_name      CHAR(40) NOT NULL,
    ->  street          CHAR(40) NOT NULL
    -> );
Query OK, 0 rows affected (0.01 sec)

mysql>
mysql> INSERT INTO cat_mailing (first_name, last_name, street)
    ->  VALUES
    ->          ('Jim','Isaacson','515 Fordam St., Apt. 917'),
    ->          ('Wallace','Baxter','57 3rd Ave.'),
    ->          ('Taylor','McTavish','432 River Run'),
    ->          ('Marlene','Pinter','9 Sunset Trail'),
    ->          ('WALLACE','BAXTER','57 3rd Ave.'),
    ->          ('Bartholomew','Brown','432 River Run'),
    ->          ('Marlene','Pinter','9 Sunset Trail'),
    ->          ('Wallace','Baxter','57 3rd Ave., Apt 102')
    -> ;
Query OK, 8 rows affected (0.00 sec)
Records: 8  Duplicates: 0  Warnings: 0

mysql>
mysql> SELECT * FROM cat_mailing;
+-----------+-------------+--------------------------+
| last_name | first_name  | street                   |
+-----------+-------------+--------------------------+
| Isaacson  | Jim         | 515 Fordam St., Apt. 917 |
| Baxter    | Wallace     | 57 3rd Ave.              |
| McTavish  | Taylor      | 432 River Run            |
| Pinter    | Marlene     | 9 Sunset Trail           |
| BAXTER    | WALLACE     | 57 3rd Ave.              |
| Brown     | Bartholomew | 432 River Run            |
| Pinter    | Marlene     | 9 Sunset Trail           |
| Baxter    | Wallace     | 57 3rd Ave., Apt 102     |
+-----------+-------------+--------------------------+
8 rows in set (0.00 sec)

mysql>
mysql> SELECT COUNT(*) - COUNT(DISTINCT last_name, first_name)
    -> AS 'duplicate names'
    -> FROM cat_mailing;
+-----------------+
| duplicate names |
+-----------------+
|               3 |
+-----------------+
1 row in set (0.00 sec)

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

   
    
    
    
    
    
    
    
  








Related examples in the same category

1.COUNT([DISTINCT] { | *})
2.Get the number of items for each type of wood
3.Get the number of woods for each type of item
4.Counting
5.How many times did drivers travel more than 200 miles in a day?
6.COUNT and GROUP BY
7.Count by group
8.COUNT(expr) doesn't count NULL values is useful when producing multiple counts from the same set of values.
9.The different forms of COUNT( ) can be very useful for counting missing values
10.Put the COUNT( ) expression in a HAVING clause instead.
11.Tracking Down Duplicates
12.Queries counting duplicate records have the following form
13.Counting and Identifying Duplicates
14.To see which names are duplicated in the cat_mailing table, use a summary query that displays the non-unique v
15.Eliminating Duplicates from a Query Result
16.Removing Duplicates of a Particular Row
17.Count duplicate records
18.How many days did Suzi drive?
19.How many messages were sent by each message sender
20.How many states did the United States consist of at the beginning of the 20th century?
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