The anatomy of Hibernate dirty checking mechanism

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Imagine having a tool that can automatically detect if you are using JPA and Hibernate properly. Hypersistence Optimizer is that tool!

Introduction

The persistence context enqueues entity state transitions that get translated to database statements upon flushing. For managed entities, Hibernate can auto-detect incoming changes and schedule SQL UPDATES on our behalf. This mechanism is called automatic dirty checking.

The default dirty checking strategy

By default Hibernate checks all managed entity properties. Every time an entity is loaded, Hibernate makes an additional copy of all entity property values. At flush time, every managed entity property is matched against the loading-time snapshot value:

So the number of individual dirty checks is given by the following formula:

$N = \sum\limits_{k=1}^n p_{k}$

where

n = The number of managed entities
p = The number of properties of a given entity

Even if only one property of a single entity has ever changed, Hibernate will still check all managed entities. For a large number of managed entities, the default dirty checking mechanism may have a significant CPU and memory footprint. Since the initial entity snapshot is held separately, the persistence context requires twice as much memory as all managed entities would normally occupy.

Bytecode instrumentation

A more efficient approach would be to mark dirty properties upon value changing. Analogue to the original deep comparison strategy, it’s good practice to decouple the domain model structures from the change detection logic. The automatic entity change detection mechanism is a cross-cutting concern, that can be woven either at build-time or at runtime.

The entity class can be appended with bytecode level instructions implementing the automatic dirty checking mechanism.

Weaving types

The bytecode enhancement can happen at:

Build-time

After the hibernate entities are compiled, the build tool (e.g. ANT, Maven) will insert bytecode level instructions into each compiled entity class. Because the classes are enhanced at build-time, this process exhibits no extra runtime penalty. Testing can be done against enhanced class versions, so that the actual production code is validated before the project gets built.
Runtime

The runtime weaving can be done using:
- A Java agent, doing bytecode enhancement upon entity class loading
- A runtime container (e.g. Spring), using JDK Instrumentation support

Online Workshops

If you enjoyed this article, I bet you are going to love my upcoming Online Workshops!

Caching Best Practices with JPA and Hibernate (2.5 hours) on the 30th of September

High-Performance SQL (4 hours) on the 6th of October in collaboration with Voxxed Days Ticino

High-Performance SQL (12 hours) starting on the 28th of October in collaboration with Bouvet

Hibernate 5 improvements

Hibernate 3 has been offering bytecode instrumentation through an ANT target but it never became mainstream and most Hibernate projects are still currently using the default deep comparison approach.
Hibernate 5 has redesigned the bytecode enhancement mechanism, is more reliable than it used to be.

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