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Understanding JDBC and Handling Errors in Java

As a Java developer, you’ll often work with data sources using JDBC. One key method is executeQuery, primarily used for SELECT queries. But how about when it's time to handle errors during Data Manipulation Language (DML) operations?

Here’s what I’ve learned:

- executeQuery throws an SQLException for DML errors.
- It’s crucial to catch this exception to avoid application crashes.

Here’s a simple example:

try {
Statement stmt = connection.createStatement();
ResultSet rs = stmt.executeQuery("SELECT * FROM non_existent_table");
} catch (SQLException e) {
System.out.println("An error occurred: " + e.getMessage());
}


Tips to handle DML errors:

- Use try-catch blocks to catch SQL exceptions.
- Always close your ResultSet and Statement objects to prevent resource leaks.

Mastering error handling can make your applications robust! Happy coding! 💻



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Understanding JDBC and Handling Errors in Java

As a Java developer, you’ll often work with data sources using JDBC. One key method is executeQuery, primarily used for SELECT queries. But how about when it's time to handle errors during Data Manipulation Language (DML) operations?

Here’s what I’ve learned:

- executeQuery throws an SQLException for DML errors.
- It’s crucial to catch this exception to avoid application crashes.

Here’s a simple example:

try {
Statement stmt = connection.createStatement();
ResultSet rs = stmt.executeQuery("SELECT * FROM non_existent_table");
} catch (SQLException e) {
System.out.println("An error occurred: " + e.getMessage());
}


Tips to handle DML errors:

- Use try-catch blocks to catch SQL exceptions.
- Always close your ResultSet and Statement objects to prevent resource leaks.

Mastering error handling can make your applications robust! Happy coding! 💻

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