Implementing Informix aggregation queries using Java

To implement various aggregation queries for Informix using Java, you need to complete the following steps: 1. Import necessary dependencies: You can use the Informix JDBC driver to connect to the Informix database. You can add the following dependencies in the Maven project: <dependency> <groupId>com.ibm.informix</groupId> <artifactId>ifxjdbc</artifactId> <version>4.50.4.0</version> </dependency> 2. Create a database connection: Use the following code example to create an Informix database connection: import java.sql.*; public class InformixConnectionUtil { public static Connection getConnection() { Connection connection = null; String jdbcUrl = "jdbc:informix-sqli://localhost:9088/mydatabase:user=myuser;password=mypassword"; try { Class.forName("com.informix.jdbc.IfxDriver"); connection = DriverManager.getConnection(jdbcUrl); }Catch (ClassNotFoundException | SQLException e){ e.printStackTrace(); } return connection; } } Ensure that the correct JDBC URL, username, and password are used. 3. Implement various aggregation queries: Use the following code example to implement various data aggregation queries. a) Count aggregation query: import java.sql.*; public class CountQueryExample { public static void main(String[] args) { try (Connection connection = InformixConnectionUtil.getConnection()) { String sql = "SELECT COUNT(*) FROM mytable"; PreparedStatement statement = connection.prepareStatement(sql); ResultSet resultSet = statement.executeQuery(); if (resultSet.next()) { int count = resultSet.getInt(1); System.out.println("Count: " + count); } } catch (SQLException e) { e.printStackTrace(); } } } b) Sum aggregation query: import java.sql.*; public class SumQueryExample { public static void main(String[] args) { try (Connection connection = InformixConnectionUtil.getConnection()) { String sql = "SELECT SUM(salary) FROM employees"; PreparedStatement statement = connection.prepareStatement(sql); ResultSet resultSet = statement.executeQuery(); if (resultSet.next()) { double sum = resultSet.getDouble(1); System.out.println("Sum: " + sum); } } catch (SQLException e) { e.printStackTrace(); } } } c) Average aggregation query: import java.sql.*; public class AverageQueryExample { public static void main(String[] args) { try (Connection connection = InformixConnectionUtil.getConnection()) { String sql = "SELECT AVG(score) FROM scores"; PreparedStatement statement = connection.prepareStatement(sql); ResultSet resultSet = statement.executeQuery(); if (resultSet.next()) { double average = resultSet.getDouble(1); System.out.println("Average: " + average); } } catch (SQLException e) { e.printStackTrace(); } } } d) Maximum aggregation query: import java.sql.*; public class MaxQueryExample { public static void main(String[] args) { try (Connection connection = InformixConnectionUtil.getConnection()) { String sql = "SELECT MAX(price) FROM products"; PreparedStatement statement = connection.prepareStatement(sql); ResultSet resultSet = statement.executeQuery(); if (resultSet.next()) { double max = resultSet.getDouble(1); System.out.println("Max: " + max); } } catch (SQLException e) { e.printStackTrace(); } } } e) Minimum aggregation query: import java.sql.*; public class MinQueryExample { public static void main(String[] args) { try (Connection connection = InformixConnectionUtil.getConnection()) { String sql = "SELECT MIN(stock) FROM products"; PreparedStatement statement = connection.prepareStatement(sql); ResultSet resultSet = statement.executeQuery(); if (resultSet.next()) { int min = resultSet.getInt(1); System.out.println("Min: " + min); } } catch (SQLException e) { e.printStackTrace(); } } } Ensure to replace the corresponding table names, column names, and conditions in the code. This way, you can use Java to implement various aggregation queries for Informix.