Spring - Difference Between RowMapper and ResultSetExtractor

Understanding the difference between RowMapper and ResultSetExtractor is very important for anyone working with JDBC in Java. Both play important roles in fetching and processing data from the database. The main difference between RowMapper and ResultSetExtractor lies in their responsibilities.

• RowMapper: It is used to map each row of data from the resultSet to a Java object.
• ResultsetExtractor: It is the object that stores and allows navigation through the data retrieved from the database.

RowMapper vs ResultSetExtractor

The below table demonstrates the difference between RowMapper and ResultSetExtractor

RowMapper

The RowMapper interface is designed to map a single row of a ResultSet to a Java object. It is used when the query returns multiple rows, and each row needs to be mapped to a corresponding object.

• Single Row Mapping: Maps one row at a time using the mapRow()method.
• Simplified Code: Converts rows into objects, improving readability and maintainability.
• Common Use Case: Often used with JdbcTemplate.query() for automatic mapping of ResultSet rows.

Example: This example demonstrates how to use a custom RowMapper (EmployeeRowMapper) with JdbcTemplate to map rows from a ResultSet to Employee objects.

ResultSetExtractor

The ResultSetExtractor interface is more flexible and powerful. It is designed to process the entire ResultSet at once, allowing for more complex mappings.

• Entire ResultSet Processing: Processes the whole ResultSet for complex operations or aggregations.
• Custom Logic: Allows implementation of custom logic for advanced use cases.
• Common Use Case: Used with JdbcTemplate.query() for custom processing beyond simple row mapping.

Example: This example demonstrates how to use a custom ResultSetExtractor (EmployeeResultSetExtractor) with JdbcTemplate to process the entire ResultSet and map multiple rows to a list of Employee objects.

Note:

• Use RowMapper for straightforward row-to-object mapping, ideal for simple queries.
• Use ResultSetExtractor for complex processing, like aggregating data or mapping multiple rows to a single object.