Why hibernate over jdbc

Hibernate - What is the advantage of Hibernate over jdbc? Next Page ». What is the advantage of Hibernate over jdbc? Query tuning is not required in Hibernate. The query tuning is automatic in hibernate by using criteria queries, and the result of performance is at its best.

Where as in JDBC the query tuning is to be done by the database authors. With the support of cache of hibernate, the data can be placed in the cache for better performance. I was thinking overkill in extra processing overhead to add a layer, extra developer skills needed to maintain it I have the skills, but I have to think about when I'm not the one maintaining it , coupling to a 3rd party instead of native though the extra jars are not an issue AFAIC.

That type of thing. Add a comment. Active Oldest Votes. Good question with no single simple answer. Today I am not so sure.

Performance The runtime performance is good enough, I have yet to see a situation where hibernate was the reason for poor performance in production.

Database Independency It is very cool as long as you don't need to do some fine tuning on the database. In-memory Session For every transaction Hibernate will store an object in memory for every database row it "touches". Cascades Cascades allow you to simplify working with object graphs.

Lazy Loading Lazy Loading means that every time you load an object, hibernate will not load all it's related objects but instead will provide place holders which will be resolved as soon as you try to access them. Schema Upgrades Hibernate allows easy schema changes by just refactoring java code and restarting. Views and Stored Procedures Hibernate requires exclusive write access to the data it works with.

Single Threaded Sessions Hibernate sessions are single threaded. I guess my point is that there are no free meals. Improve this answer. Ryan 1 1 gold badge 9 9 silver badges 23 23 bronze badges. Gregory Mostizky Gregory Mostizky 7, 1 1 gold badge 24 24 silver badges 29 29 bronze badges.

I used to think Hibernate was the best thing ever, but as our application grew in complexity Larger object graphs , I have ran into a few scenarios where debuging was a nightmare because I had no idea what hibernate was doing. Luckily, it's open source so I was able to dig through the source to figure it out. No Free Meals. Hibernate is great, but there are tradeoffs. PowerFlower For I think it's still the very similar situation, hibernate's core characteristic didn't change, and probably it never will.

No doubt Hibernate has its complexity. As you asked specifically for details, here are some examples : the added complexity is not in the model and entities, but in your framework for manipulating all entities for example. Therefore : you write less code, but more importantly You might replace inheritance subclassing by composition several entities having a same member, that contains a few related fields that happen to be needed in several entities.

There can be inheritance between a few of your entities. It often happens that you have two tables that have pretty much the same structure but you don't want to store all data in one table, because you would loose referential integrity to a different parent table.

Examples : there is often some way to read the data of the entities that is similar but different. Suppose I read the "title" field for three entities, but for some I replace the result with a differing default value if it is null. It is easy to have a signature "getActualTitle" in a superclass or an interface , and implement the default value handling in the three implementations. That means the code out of my entities just deals with the concept of an "actual title" I made this functional concept explicit , and the method inheritance takes care of executing the correct code no more switch or if, no code duplication.

For all these reasons, I would choose Hibernate Brian Yarger Brian Yarger 1, 18 18 silver badges 17 17 bronze badges. Straight JDBC would fit the simplest cases at best. Asok B Asok B 31 1 1 bronze badge. In jdbc all exceptions are checked exceptions, so we must write code in try, catch and throws, but in hibernate we only have Un-checked exceptions Here as a programmer we must close the connection, or we may get a chance to get our of connections message…!

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Difference between const vs Object. What is Redux middleware? What is the main difference between useRef and useState hooks? What is Strict Mode in React? Hibernate mainly solves the object-relational impedance mismatch problems which arise when a relational database is connected by an application written in object oriented programming language style.

Object-relational impedance mismatch includes mismatches arises due to data type differences, manipulative differences, transactional differences, structural and integrity differences. Click here to see more details. Hibernate itself maps the Java classes to the database tables using XML configuration or by using annotations.

HQL understands object-oriented concepts like inheritance, polymorphism, and association. It is achieved by using a dialect to communicate with the database. The database can be specified using dialect in the Hibernate configuration XML as follows.

You need to fetch the first 10 entries of a table. List ; Thus your query statement need not change irrespective of the database you are using. Hibernate minimize the code changes when we add a new column in the database table. The changes to be done is given below. Modify the Hibernate XML mapping file to include the new column Thus database table changes can be easily implemented using Hibernate with less effort. Hibernate reduces the amount of repeating lines of code which you can often find with JDBC.

For your understanding, I have mentioned a simple scenario below. We can achieve lazy loading of data using Hibernate i. Consider an example where there is a list of users in the user table. If you fetch the parent class i. Imagine the size of each document.

As the number of documents increases the size of data to be processed also increases and hence it will slow up the application. If you do so when you fetch user, documents will not be fetched. Hibernate handles this by converting all JDBC exception as an unchecked exception. Therefore you need not waste your time in implementing this try catch blocks. If you are not familiar with the term checked and unchecked exceptions, please refer this link for your understanding.