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mysql> use octopus; Database changed mysql> desc employees; +-------+-------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------+-------------+------+-----+---------+-------+ | id | varchar(10) | NO | PRI | | | | name | varchar(20) | YES | | NULL | | | age | int(11) | YES | | NULL | | | dept | int(11) | NO | | | | +-------+-------------+------+-----+---------+-------+
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CHAPTER 7 ROWSET METADATA
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4 rows in set (0.01 sec) mysql> desc departments; +----------+-------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +----------+-------------+------+-----+---------+-------+ | dept | int(11) | NO | PRI | | | | location | varchar(12) | YES | | NULL | | +----------+-------------+------+-----+---------+-------+ 2 rows in set (0.01 sec) mysql> select * from employees; +----+--------+------+------+ | id | name | age | dept | +----+--------+------+------+ | 11 | Alex | 25 | 1111 | | 44 | Monica | 30 | 1111 | | 88 | Jeff | 45 | 2222 | | 99 | Bob | NULL | 2222 | +----+--------+------+------+ 4 rows in set (0.00 sec) mysql> select * from departments; +------+-----------+ | dept | location | +------+-----------+ | 1111 | Detroit | | 2222 | Sunnyvale | | 3333 | San Jose | +------+-----------+ 3 rows in set (0.01 sec) The following query verifies that a join is basically a Cartesian product that is followed by a predicate to filter the results: mysql> select employees.id, employees.name, departments.location from employees, departments; +----+--------+-----------+ | id | name | location | +----+--------+-----------+ | 11 | Alex | Detroit | | 11 | Alex | Sunnyvale | | 11 | Alex | San Jose | | 44 | Monica | Detroit | | 44 | Monica | Sunnyvale | | 44 | Monica | San Jose | | 88 | Jeff | Detroit | | 88 | Jeff | Sunnyvale | | 88 | Jeff | San Jose | | 99 | Bob | Detroit | | 99 | Bob | Sunnyvale | | 99 | Bob | San Jose | +----+--------+-----------+ 12 rows in set (0.00 sec)
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You can filter the result of the JOIN operation. In the following SQL query, note that the INNER JOIN statement was issued using the on employees.dept = departments.dept clause. This JOIN operation effectively combined the data contained in two tables (employees and departments) based on a common attribute (the "dept" value). Using a JoinRowSet object, the SQL JOIN operation will be performed using a match column of "dept". To be a match column, the column of interest needs to be residing in the employees and departments tables, which are being joined. mysql> select employees.id, employees.name, departments.location from employees, departments where employees.dept = departments.dept; +----+--------+-----------+ | id | name | location | +----+--------+-----------+ | 11 | Alex | Detroit | | 44 | Monica | Detroit | | 88 | Jeff | Sunnyvale | | 99 | Bob | Sunnyvale | +----+--------+-----------+ 4 rows in set (0.00 sec) We will use this database object to show how to create a JoinRowSet object. JoinRowSet is capable of doing a SQL JOIN operation. Let s see how. First, create CachedRowSet objects for both tables: // load the Driver Class.forName("com.mysql.jdbc.Driver"); // create a CachedRowSet for employees CachedRowSet employees = new CachedRowSetImpl(); employees.setUsername("root"); employees.setPassword("root"); employees.setUrl("jdbc:mysql://localhost/octopus"); employees.setCommand("SELECT * FROM employees"); employees.execute(); // create a CachedRowSet for departments CachedRowSet departments = new CachedRowSetImpl(); departments.setUsername("root"); departments.setPassword("root"); departments. setUrl("jdbc:mysql://localhost/octopus"); departments.setCommand("SELECT * FROM departments"); departments.execute(); Next, we perform a JOIN operation: JoinRowSet join = new JoinRowSetImpl(); join.addRowSet(employees,"dept"); join.addRowSet(departments,"dept");
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There is an alternative method to doing a JOIN operation: you can use the Joinable interface to accomplish the same thing: JoinRowSet join = new JoinRowSetImpl(); ((Joinable)employees).setMatchColumn("dept"); ((Joinable)departments).setMatchColumn("dept"); join.addRowSet(employees); join.addRowSet(departments); After performing our offline JOIN, you can traverse our JoinRowSet object using getter methods like we do with ResultSet objects. Here s this iteration in the code: // display records in JoinRowSet object while (join.next()) { String id = join.getString(1); String name = join.getString(2); String location = join.getString(3); }
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