The best way to log SQL statements with JDBC, JPA or Hibernate
Introduction In this article, I’m going to show you the best way to log SQL statements when using either JDBC, JPA, or Hibernate. Whenever you are using a data access framework that auto-generates statements on your behalf, it is mandatory to log all statements to ensure their effectiveness, as well as to assert the possible performance implications.
High-Performance Java Persistence – Part One
The journey Four months, one week and two days and 114 pages; that’s how much it took to write the first part of the High-Performance Java Persistence book. As previously stated, the book is developed in an Agile fashion. Each part represents a milestone, which is accompanied by a release. This way, the readers can get access to the book content prior to finishing the whole book (which might take a year or so).
How does the MySQL JDBC driver handle prepared statements
Prepared statement types While researching for the Statement Caching chapter in my High-Performance Java Persistence book, I got the chance to compare how Oracle, SQL Server, PostgreSQL and MySQL handle prepare statements. Thanks to Jess Balint (MySQL JDBC driver contributor), who gave a wonderful answer on StackOverflow, I managed to get a better understanding of how MySQL handles prepared statements from a database performance point of view.
JDBC Statement fetchSize property
Introduction In this article, we are going to see how the JDBC Statement fetchSize property works when using Oracle, SQL Server, PostgreSQL, or MySQL. JDBC ResultSet fetching The JDBC ResultSet offers a client-side cursor for fetching the current statement return data. When the statement gets executed, the result must be transferred from the database cursor to the client-side one. This operation can either be done at once or on demand.
How to batch DELETE statements with Hibernate
Introduction In my previous post, I explained the Hibernate configurations required for batching INSERT and UPDATE statements. This post will continue this topic with DELETE statements batching. Domain model entities We’ll start with the following entity model:
How to batch INSERT and UPDATE statements with Hibernate
Introduction JDBC has long been offering support for DML statement batching. By default, all statements are sent one after the other, each one in a separate network round-trip. Batching allows us to send multiple statements in one-shot, saving unnecessary socket stream flushing. Hibernate hides the database statements behind a transactional write-behind abstraction layer. An intermediate layer allows us to hide the JDBC batching semantics from the persistence layer logic. This way, we can change the JDBC batching strategy without altering the data access code. Configuring Hibernate to support JDBC batching is not… Read More
JOOQ Facts: SQL functions made easy
Introduction The JDBC API has always been cumbersome and error-prone and I’ve never been too fond of using it. The first major improvement was brought by the Spring JDBC framework which simply revitalized the JDBC usage with its JdbcTemplate or the SqlFunction classes, to name a few. But Spring JDBC doesn’t address the shortcoming of using string function or input parameters names and this opened the door for type-safe SQL wrappers such as jOOQ. JOOQ is the next major step towards a better JDBC API and ever since I started using it… Read More
