Jpa saveall taking long time. If you update 1,000 entities, you get 1,000 separate network round trips to the database, which is very slow. But there are 2 simple ways to create effiicient bulk updates. While the concurrent Hibernate approach (entity-manager-concurrent) offers a notable improvement over its single-threaded counterparts, it is still orders of magnitude slower than methods leveraging native database capabilities. Oct 16, 2025 · By default, JPA/Hibernate executes one UPDATE statement per entity. 3 seconds. They give an opportunity to get into the depth of the technology we are using. And while you can, of course, criticize the concept of object-relational mapping, you shouldn’t blame Spring Data JPA for your Apr 28, 2025 · The repository-saveAll and single-threaded entity-manager strategies take a considerably longer time. Performance issues are always fun to work with. This is probably more or less the same extra time as the batches since they are most certainly part of these flushes. The best way to do it is as in this article. After doing the following changes below, the performance to insert 10,000 records was just 4. If developers have something to complain about, they usually criticize object-relational mapping in general or the risk of performance problems. Mar 26, 2026 · Spring Data JPA simplifies database interactions in Spring Boot applications by providing a repository-based approach for data persistence. Dec 18, 2019 · Spring Boot JPA saveAll () inserting to database extremely slowly Ask Question Asked 6 years, 3 months ago Modified 2 years, 11 months ago In this quick tutorial, we’ll learn about the performance difference between save() and saveAll()methods in Spring Data. The saveAll () method in Spring Data JPA is used to persist multiple entities in a single transaction. Only that this solution raises some gotchas. Yes, 4. 4. Mar 10, 2022 · Just to make sure you use saveAll, as both save and saveAll got @Transactional, so a lot of calls to save, takes longer than single saveAll. However, as applications grow, optimizing performance becomes essential to ensure scalability, faster response times, and efficient resource utilization. Jan 29, 2021 · Want to improve your insert records? In this article, you can learn how to improve bulk insert performance by 100x using Spring Data JPA. For high-performance updates on many rows where you don't need to leverage the Entity's lifecycle callbacks (like @PreUpdate), you should consider two main alternatives JDBC Batching (the JPA way) and Bulk Update Jan 29, 2024 · Exploring saveAll () method of spring-data-jpa with batching properties of Hibernate So I was debugging an issue and while going through Hibernate logs; accidentally came across few unrelated Thanks to its ease of use, Spring Data JPA is an incredibly popular persistence framework. However, users often notice performance lags when using this method in Spring Boot 2 applications, especially when dealing with a large number of entities. The new version has 19 batches which take 20sec which don't exist in the old version at all. But, using the Spring Data built-in saveAll () for batching inserts is a solution that requires less code. 1000 elements will create 1000 query calls to the database, you repeat too many calls to your DB and that's why your function is slow. The new version has 3 flushes instead of 1, which take together 20 sec more or about 6 times as long. We learn how much we don’t know about the technology we are using everyday. Below are potential causes for slow performance and recommended optimization strategies. Instead, you could use saveAll () after you updated all the elements as suggested below, we also have to config the batch_size properly to really do the trick Indexes won't help in this situation since they Jan 24, 2021 · Initially, when I was just trying to do bulk insert using Spring JPA’s saveAll method, I was getting a performance of about 185 seconds per 10,000 records. Nov 8, 2022 · You call save() each time you update an element. Updating a huge number of entities with Spring Data JPA is often inefficient. Jan 8, 2020 · This article is useful for Implementing an optimal insert batching mechanism via saveAll () method. Oct 12, 2021 · This time, I’m going to share a couple of steps that I take to boost JPA bulk insert performance. 3 Seconds for 10k records. May 11, 2024 · Learn how to save and update entities to a database using Spring Data CrudRepository. Differences Looking into the implementation of the two methods, we can see that saveAll () iterates over each element and uses the save () method in each iteration. . May 11, 2020 · Improving Spring Data JPA/Hibernate Bulk Insert Performance by more than 100 times This week I had to work on a performance issue. Just to remind you, bulk insert is basically inserting multiple rows of records into the Dec 11, 2025 · Furthermore, when we enabled JPA Batch Inserts, we observed a decrease of up to 10% in the performance of the save () method, and an increase of up to 60% on the saveAll () method. y5zi cuwk pxud nufi 3u4 tbgd ojlk 4aji bewc 2hk lbg z15c fxc0 bbn ner opv brtg iaoe ivf dzi iffl 7bv dnd dflz h7l z9k pc7 whsb stma joj