If you enjoyed this article, I bet you are going to love my Book and Video Courses as well. I'm running an online workshop on the 15th of September about High-Performance SQL. So, the third statement was the one causing the failure. However, we can pinpoint the failing statements by introspecting the result of the getUpdateCounts method on the that is thrown by the JDBC Driver.īecause the getUpdateCounts method returns an int array with two entries, we know that only two statements were successfully processed. So, from the logged JDBC output, we can see that the third statement is going to conflict with the first one. (0, High-Performance Java Persistence, Part 4)Ĭ.v.b.h.h.b.BatchExceptionTest - Batch has managed to process 2 entries (1, High-Performance Java Persistence, Part 3), (0, High-Performance Java Persistence, Part 2), (1, High-Performance Java Persistence, Part 1), (0, High-Performance Java Persistence, Part 0), "INSERT INTO post (id, title) VALUES (?, ?)"], N.t.d.l.SLF4JQueryLoggingListener - Name:DATA_SOURCE_PROXY, Time:0, When running the test case above, Hibernate generates the following output:Ĭ.v.b.h.h.b.BatchExceptionTest - testInsertPosts "High-Performance Java Persistence, Part %d", Try (PreparedStatement st = connection.prepareStatement( Session session = entityManager.unwrap(Session.class) In the following example, to simulate the failure, we are going to assign the same Primary Key to multiple records so that the database can raise a ConstraintViolationException: For this purpose, we will use a PreparedStatement since it responds better to JDBC batching than a simple. Now, we are going to use JDBC batching for grouping several INSERT statements. getters and setters omitted for brevity This post is going to answer this question in more detail.Ĭonsidering we have a Post entity, whose identifiers are manually = "post") Yesterday, my Danish friend, Flemming Harms, asked my a very interesting question related to when a JDBC batch update fails.īasically, considering we are going to group several DML statements in a batch, we need a way to tell which statement is the cause of the failure. So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night! Well, Hypersistence Optimizer is that tool!Īnd it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework. Follow having a tool that can automatically detect JPA and Hibernate performance issues.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |