Using More Than one Table : Simple JOIN « Join « SQL / MySQL






Using More Than one Table

  
/*

mysql> SELECT bird.name,
    ->        (YEAR(date)-YEAR(birth)) - (RIGHT(date,5)<RIGHT(birth,5)) AS age,
    ->        remark
    ->        FROM bird, event
    ->        WHERE bird.name = event.name AND event.type = 'sell';
+---------+------+----------------+
| name    | age  | remark         |
+---------+------+----------------+
| RedBird |   16 | sell just sell |
+---------+------+----------------+
1 row in set (0.00 sec)


*/

/* Create table */
Drop table event;
Drop table Bird;

CREATE TABLE Bird (
    name VARCHAR(20), 
    owner VARCHAR(20),
    species VARCHAR(20), 
    sex CHAR(1), 
    birth DATE, 
    death DATE
);
  

  
CREATE TABLE event (
    name VARCHAR(20), 
    date DATE,
    type VARCHAR(15), 
    remark VARCHAR(255)
);

INSERT INTO  Bird VALUES ('BlueBird','Joe','Car','f','1999-03-30',NULL);
INSERT INTO  Bird VALUES ('RedBird','Yin','Bus','m','1979-04-30',1998-01-30);
INSERT INTO  Bird VALUES ('RedBird1','Yin','Bus','m','1998-01-30',NULL);

insert into event values ('BlueBird','1995-05-15','buy','Buy just Buy');
insert into event values ('RedBird','1995-05-15','sell','sell just sell');
insert into event values ('RedBird2','1995-05-15','sell','sell and buy');


SELECT bird.name,
       (YEAR(date)-YEAR(birth)) - (RIGHT(date,5)<RIGHT(birth,5)) AS age,
       remark
       FROM bird, event
       WHERE bird.name = event.name AND event.type = 'sell';

           
         
    
  








Related examples in the same category

1.Self join
2.Simple table join
3.Join three tables
4.Query data from two tables
5.JOIN two tables with alias name
6.Using a Join to Control Query Output Order
7.Using a Join to Create a Lookup Table from Descriptive Labels
8.Return the first names and surnames of both the sales rep and the customer, as well as the value of the sale
9.Query data from two tables 2
10.Finding Rows in One Table That Match Rows in Another
11.Identify records from author table that corresponds to the author name, use its a_id value to find matching re
12.Using information in the book table to find information in the author table
13.Finding Rows with No Match in Another Table
14.Shorten the output column list to include only columns from the author table
15.List each author from the author table, and whether or not you have any books by the author
16.Using table alias to qualify column name when column names exist
17.Using table alias to qualify column name
18.PSEUDONYMS FOR TABLE NAMES
19.Qualify the column name with table name