While using the traditional approach of Java Database connectivity all the code related to connection creation, closing and handling the flow was on the developer. Following were the disadvantages of JDBC —. JDBC templates are time-saving. The JDBC core package consists of the central class whose name is org,springframework. This template is responsible for performing all the core workflow related to JDBC so that the application program is just left with the provision of the SQL queries that need to be executed and extracting the result of the same which can be further used by the application.
This makes very simple for a developer to just focus on the business logic and code accordingly, leaving all the other core related function to be handled by JDBC template. The JDBC template is responsible for executing all the passed queries, retrieving the data, updating and performing all the iterations over the result set.
It further handles all the exceptions that might arise while doing database related operations and converts them to generic ones. You can get the information related to the hierarchy of exceptions that are handled by the JDBC template in this package org. Now, let us see the general declaration of the JDBC template class to understand which class it extends and which interfaces are implemented by it.
Below is its declaration —. Now, let us understand the implementation of the jdbc template along with the help of an example. For this, we will need eclipse IDE and we will create a spring application in it.
However, an Object-relational impedance mismatch that brings a set of conceptual and technical difficulties is often encountered when an RDBMS is being served by an application program written in an object-oriented programming language.
How can an application reduce this verbosity with JDBC? For all Spring applications, you should start with the Spring Initializr. The Initializr offers a fast way to pull in all the dependencies you need for an application and does a lot of the setup for you. The next step is the Car entity, with five fields: id, name, city, model, and color. In this project, a POJO as an anemic model is more than enough to handle it. However, it only fits in complex projects.
Highlighting: 'it depends' is always a good answer when we talk about software architecture. A developer can either create a custom class or use BeanPropertyRowMapper , which reduces the boilerplate; however, the entity should have a public getter and setter; it might get an encapsulation issue besides it provides convenience rather than high performance. For best performance, consider using a custom RowMapper implementation.
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