Apache Derby – Having Clause
The HAVING Clause enables you to specify conditions that filter which group results appear in the results.
The WHERE clause places conditions on the selected columns, whereas the HAVING clause places conditions on groups created by the GROUP BY clause.
Syntax
Following is the syntax of the HAVING clause −
ij> SELECT column1, column2 . . . from table_name GROUP BY column having condition;
Example
Suppose, we have a table named Employees in the database with the 13 records as shown below −
ID |NAME |SALARY |LOCATION ------------------------------------------------------------------ 1 |Amit |30000 |Hyderabad 2 |Rahul |39000 |Lucknow 3 |Kalyan |40000 |Vishakhapatnam 4 |Renuka |50000 |Hyderabad 5 |Archana |15000 |Vishakhapatnam 6 |Krishna |40000 |Hyderabad 7 |Trupthi |45000 |Vishakhapatnam 8 |Raghav |12000 |Lucknow 9 |Radha |50000 |Delhi 10 |Anirudh |15000 |Mumbai 11 |Tara |45000 |Kochin 12 |Sucharita |44000 |Kochin 13 |Rizwan |20000 |Lucknow
The following query displays maximum salaries of the employees in the location which have at least 3 employees −
ij> SELECT Location, MAX(Salary) from Employees GROUP BY Location having count(Location)>=3;
This generates the following output −
LOCATION |2 ------------------------------------------------------------ Hyderabad |50000 Lucknow |39000 Vishakhapatnam |45000 3 rows selected
Sorting Data using JDBC program
This section teaches you how to use Having a clause in the Apache Derby database using JDBC application.
If you want to request the Derby network server using network client, make sure that the server is up and running. The class name for the Network client driver is org.apache.derby.jdbc.ClientDriver and the URL is jdbc:derby://localhost:1527/DATABASE_NAME;create=true;user=USER_NAME;passw ord=PASSWORD“
Follow the steps given below to sort the records of a table in Apache Derby
Step 1: Register the driver
To communicate with the database, first of all, you need to register the driver. The forName() method of the class Class accepts a String value representing a class name, and loads it in to the memory, which automatically registers it. Register the driver using this method.
Step 2: Get the connection
In general, the first step we do to communicate to the database is to connect with it. The Connection class represents the physical connection with a database server. You can create a connection object by invoking the getConnection() method of the DriverManager class. Create a connection using this method.
Step 3: Create a statement object
You need to create a Statement or PreparedStatement or, CallableStatement objects to send SQL statements to the database. You can create these using the methods createStatement(), prepareStatement() and, prepareCall() respectively. Create either of these objects using the appropriate method.
Step 4: Execute the query
After creating a statement, you need to execute it. The Statement class provides various methods to execute a query like the execute() method to execute a statement that returns more than one result set. The executeUpdate() method executes queries like INSERT, UPDATE, DELETE. The executeQuery() method returns data. Use either of these methods and execute the statement created previously.
Example
Following JDBC example demonstrates how to use Group By clause and perform CURD operations on a table in Apache Derby using JDBC program. Here, we are connecting to a database named sampleDB (will create if it does not exist) using the embedded driver.
import java.sql.Connection; import java.sql.DriverManager; import java.sql.Statement; import java.sql.ResultSet; public class HavingClauseExample { public static void main(String args[]) throws Exception { //Registering the driver Class.forName("org.apache.derby.jdbc.EmbeddedDriver"); //Getting the Connection object String URL = "jdbc:derby:sampleDB;create=true"; Connection conn = DriverManager.getConnection(URL); //Creating the Statement object Statement stmt = conn.createStatement(); //Creating a table and populating it stmt.execute("CREATE TABLE EmployeesData( " + "Id INT NOT NULL GENERATED ALWAYS AS IDENTITY, " + "Name VARCHAR(255), " + "Salary INT NOT NULL, " + "Location VARCHAR(255), " + "PRIMARY KEY (Id))"); stmt.execute("INSERT INTO EmployeesData(Name, Salary, Location) " + "VALUES (''Amit'', 30000, ''Hyderabad''), " + "(''Rahul'', 39000, ''Lucknow''), " + "(''Renuka'', 50000, ''Hyderabad''), " + "(''Archana'', 15000, ''Vishakhapatnam''), " + "(''Kalyan'', 40000, ''Hyderabad''), " + "(''Trupthi'', 45000, ''Vishakhapatnam''), " + "(''Raghav'', 12000, ''Lucknow''), " + "(''Suchatra'', 33000, ''Vishakhapatnam''), " + "(''Rizwan'', 20000, ''Lucknow'')"); //Executing the query String query = "SELECT Location, MAX(Salary) " + "from EmployeesData GROUP BY Location having " + "count(Location)>=3"; ResultSet rs = stmt.executeQuery(query); while(rs.next()) { System.out.println(rs.getString(1)); System.out.println(rs.getString(2)); System.out.println(" "); } } }
Output
On executing the above program, you will get the following output −
Hyderabad 50000 Lucknow 39000 Vishakhapatnam 45000