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If a table contains hierarchical data (data that can be grouped into levels, with the parent data at higher levels and child data at lower levels), you can use Oracle s hierarchical queries. Hierarchical queries typically use the following structure: The START WITH clause denotes the root row or rows for the hierarchical relationship. The CONNECT BY clause specifies the relationship between parent and child rows, with the prior operator always pointing out the parent row. Listing A-2 shows a hierarchical relationship between the employees and manager columns. The CONNECT BY clause describes the relationship. The START WITH clause specifies where the statement should start tracing the hierarchy. Listing A-2. A Hierarchical Relationship Between Data SQL> SELECT employee_id, last_name, manager_id FROM employees START WITH manager_id = 100 CONNECT BY PRIOR employee_id = manager_id; EMPLOYEE_ID LAST_NAME MANAGER_ID ----------- -------------- ---------101 Reddy 100 108 Greenberg 101 109 Faviet 108 110 Colon 108 111 Chowdhary 108 112 Urman 108 113 Singh 108 200 Whalen 101 SQL>

So far, we ve mostly looked at how to perform various DML operations on single tables, including using SQL functions and expressions. However, in real life, you ll mostly deal with query output retrieved from several tables or views. When you need to retrieve data from several tables, you need to join the tables. A join is a query that lets you combine data from tables, views, and materialized views. Note that a table can be joined to other tables or to itself. The Cartesian product or Cartesian join is simply a join of two tables without a selective WHERE clause. Therefore, the query output will consist of all rows from both tables. Here s an example of a Cartesian join: SQL> SELECT * FROM employees, dept;

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/* Code for accessor methods (setter and getter of various attributes) are generated within comments by JPublisher they have been deleted for clarity */ /* superclass methods */ public String getAddress() throws SQLException { String __jRt_0 = null; __jRt_0 = super.getAddress(); return __jRt_0; } }/*@lineinfo:generated-code*/ Please note that the step of extending generated custom classes to add functionality is very similar to the same step in the case of the SQLData interface, so I don t cover it again here. Please see the corresponding step in the section Generating Custom Classes That Implement SQLData for further details.

Cartesian products of two large tables are almost always the result of a mistaken SQL query that omits the join condition. By using a join condition when you re combining data from two or more tables, you can limit the number of rows returned. A join condition can be used in the WHERE clause or the FROM clause, and it limits the data returned by selecting only data that satisfies the condition stipulated by the join condition. Here s an example of a join statement that uses a join condition: SQL> SELECT * FROM employees, dept WHERE dept='HR';

Oracle offers various types of joins based on the way you combine rows from two or more tables or views. The next sections discuss the most commonly used types of Oracle joins.

With an equi-join, two or more tables are joined based on an equality condition between two columns. In other words, the same column has the same value in all the tables that are being joined. Here s an example: SQL> SELECT e.last_name, d.dept FROM emp e, dept d WHERE e.emp_id = d.emp_id; You can also use the following new syntax for the preceding join statement: SQL> SELECT e.last_name, d.dept FROM emp e JOIN dept d USING (emp_id); If you want to join multiple columns, you can do so by using a comma-delimited list of column names, as in USING (dept_id, emp_name).

In this section, we go through the steps of selecting, inserting, updating, or deleting objects using the custom classes generated as described in the previous section. The class DemoORAData illustrates these steps for us and is explained in comments interspersed within the code: /** This program demonstrates how to use the Java class * MyAddressORAData to perform DMLs. * COMPATIBLITY NOTE: runs successfully against 10.1.0.2.0. * and 9.2.0.1.0. */ import java.util.HashMap; import java.sql.SQLException; import java.sql.ResultSet; import java.sql.Connection; import java.sql.PreparedStatement; import oracle.jdbc.OracleResultSet; import oracle.jdbc.OraclePreparedStatement; import book.util.JDBCUtil; import book.ch10.jpub.MyAddressORAData; public class DemoORAData { public static void main(String[] args) throws Exception { Connection connection = null; try { connection = JDBCUtil.getConnection ( "benchmark", "benchmark", "ora10g" );

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