4 JPA Best Practices for Better Application Performance
While many application performance issues can be out of a developers hands, there are ways, especially in JPA implementations, to make sure your code is using databases efficiently. In our article today, we're looking at a handful of ways to streamline application performance in JPA.
Improve Performance in Your JPA Implementation
In our article today, I'll cover four best practices that can help improve performance in JPA implementations:
- Avoid Making Too Many Queries
- Don't Fetch More Data Than You Need
- Process Data in the Database
- Monitor Performance Early and Often
Avoid Making Too Many Queries
By default, most JPA implementations will fetch data in 1-1 relationships eagerly. On the other hand, it fetches data from one-to-many and many-to-many relationships lazily. It makes sense, but depending on the needs of your application, this might not be the most performant configuration. Lazy strategies breed queries -- to reduce the number of DB queries JPA makes, while keeping the sensible default lazy loading strategy, consider the following best practices.
Named Entity Graphs
JPA entity graphs specify a collection of entities that will be fetched from the database in a query independent way. Let's define one that fetches Books at the same time as Authors:
Use this graph as a hint to the entity manager to fetch all this data in one query.
An alternative is to use a join clause, which is similar to a SQL join, as follows:
Use Bulk Operations
Updating and deleting entities one by one is very inefficient when executing over large sets of entities. CriteriaUpdate and CriteriaDelete allows you to construct an update statement that updates multiple entities at once via a bulk operation.
CriteriaDelete works similarly to CriteriaUpdate.
Don't Fetch More Data Than You Need
Take into consideration how much data you actually need.
Use pagination directly in the database. Specify how many results you want to fetch at once, including the offset into the result set for the rows you're interested in.
Only retrieve the required columns you need in your select operations. If you only need Author IDs, only get Author IDs!
Process Data in the Database
Using stored procedures can result in noticeable performance increases. Here's a stored procedure example: Define a @NamedStoredProcedureQuery on a relevant entity class:
This isn't the first resource on the internet that talks about how to use JPA the right way, and that's because it's easy to make these mistakes! All the more is it important to constantly monitor JPA environments for the best possible performance. If you're looking for additional resources on JPA implementation and performance, be sure to check out these resources:
- Boost performance even further with these three JPA 2.1 features.
- Get additional performance with our Java resources.
Looking for ways to improve microservices performance? This webinar is worth a look.
Improve Performance During Development
Use a tool like XRebel to monitor your application's IO queries during development. Watch the video below to see XRebel in action.
Want to see how XRebel works on your project?
Try it free for 10 days with the XRebel trial.