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• ↓ The Hibernate team blog on everything data
• ↓ Tags
• ↓ Authors
• ↓ When @Immutable Made All the Difference: A 3.2x Speedup with Hibernate Second-Level Cache
• ↓ Hibernate 8.0.0.Beta1
• ↓ Two Hibernate Annotations That Cut Our JSON Processing Time in Half
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"In our previous post, we showed how @Mutability(Immutability.class) and removing CascadeType.MERGE cut our JSON processing time in half by eliminating unnecessary dirty-checking. That was the first round of optimization. This post covers the second round enabling Hibernate’s second-level cache on the same entity, and the surprising discovery that three annotations must work together to unlock the full benefit. Getting two out of three still left us over 8x slower than the final result."

"Implements support for Jakarta Persistence 4.0 - all features defined through the M5 release are supported and both the Jakarta Persistence and Jakarta Data TCKs are passing"

"Details about the release can be found at https://github.com/hibernate/hibernate-orm/releases/tag/8.0.0.Beta1."

"When we profiled our application’s data import pipeline, we expected the bottleneck to be in our business logic — JQ filters, JavaScript evaluation, recursive SQL queries. Instead, Hibernate’s internal JSON handling consumed over 50% of CPU time and allocated 20 GB of unnecessary objects during a routine import of 5 records."

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The Hibernate team blog on everything data

Tags

Authors

When @Immutable Made All the Difference: A 3.2x Speedup with Hibernate Second-Level Cache

Hibernate 8.0.0.Beta1

Two Hibernate Annotations That Cut Our JSON Processing Time in Half