Hibernate Performance Tuning (Online)

In this training you will gain a deep understanding of JPA and Hibernate through many practical examples and exercises. You will learn some advanced features and concepts for performance optimization. The basic use of Hibernate and JPA is easy and quick to learn. The problems always start when complex enterprise applications with high performance requirements are to be created. In such projects, people often complain about the poor performance of Hibernate. However, the reason for the long response times is often not Hibernate, but its inefficient use. Hibernate can easily be used for the realization of performance-critical enterprise applications. However, this requires some advanced features and a good understanding of JPA and Hibernate. These are taught in this course using many practical examples and exercises.

Typical causes of performance problems

At the beginning of the course, typical causes of performance problems are presented and it is shown how these can be recognized at an early stage.

A common cause of many of these problems is inefficient modeling of the entities. To avoid this in the future, we compare various illustrations and show typical pitfalls. These include

• the avoidance of typical mapping errors

• Choosing the right strategy for primary key generation

• selecting and using the optimal fetching strategy for the respective use case

• the use of bytecode enhancements

Concepts for performance optimization

Building on this, we develop various concepts for optimizing the performance of read database accesses. These include

• the optimization of queries

• the use of a query-specific fetching strategy

• the use of various caches to avoid redundant database accesses

Calling functions and stored procedures

In addition to reading the data, its preparation is often a reason for long response times. Databases can usually do this much more efficiently. I will explain various options for calling functions and stored procedures in the training.

Optimization options for write database operations

Next, we look at optimization options for write database operations, such as

• the batching of write operations

• the use of bulk operations to optimize write accesses

Concurrency strategies

Finally, various concurrency strategies and their impact on application performance are presented.