High-Performance Java Persistence – Chapter 16 – Caching

Part 2, Chapter 16

Every new chapter of my book is released right after it’s being completed, so the reader doesn’t have to wait for the whole part to be finished to get access to new material.

Table of content

This chapter explains how enterprise caching works, from database internal buffers, to application-level caching, and the second-level cache offered by Hibernate.

16. Caching
16.1 Caching flavors
16.2 Cache synchronization strategies
16.2.1 Cache-aside
16.2.2 Read-through
16.2.3 Write-invalidate
16.2.4 Write-through
16.2.5 Write-behind
16.3 Database caching
16.4 Application-level caching
16.4.1 Entity aggregates
16.4.2 Distributed key/value stores
16.4.3 Cache synchronization patterns
16.4.4 Synchronous updates
16.4.5 Asynchronous updates
16.4.5.1 Change data capture
16.5 Second-level caching
16.5.1 Enabling the second-level cache
16.5.2 Entity cache loading flow
16.5.3 Entity cache entry
16.5.3.1 Entity reference cache store
16.5.4 Collection cache entry
16.5.5 Query cache entry
16.5.6 Cache concurrency strategies
16.5.6.1 READ_ONLY
16.5.6.1.1 Inserting READ_ONLY cache entries
16.5.6.1.2 Updating READ_ONLY cache entries
16.5.6.1.3 Deleting READ_ONLY cache entries
16.5.6.2 NONSTRICT_READ_WRITE
16.5.6.2.1 Inserting NONSTRICT_READ_WRITE cache entries
16.5.6.2.2 Updating NONSTRICT_READ_WRITE cache entries
16.5.6.2.3 Risk of inconsistencies
16.5.6.2.4 Deleting NONSTRICT_READ_WRITE cache entries
16.5.6.3 READ_WRITE
16.5.6.3.1 Inserting READ_WRITE cache entries
16.5.6.3.2 Updating READ_WRITE cache entries
16.5.6.3.3 Deleting READ_WRITE cache entries
16.5.6.3.4 Soft locking concurrency control
16.5.6.4 TRANSACTIONAL
16.5.6.4.1 XA_Strict mode
16.5.6.4.2 XA mode
16.5.6.4.3 Inserting TRANSACTIONAL cache entries
16.5.6.4.4 Updating TRANSACTIONAL cache entries
16.5.6.4.5 Deleting TRANSACTIONAL cache entries
16.5.7 Query cache strategy
16.5.7.1 Table space query invalidation
16.5.7.2 Native SQL statement query invalidation

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Speedment ORM – deliberate enterprise caching

A small company with big dreams

I first heard of Speedment while watching a Hazelcast webinar about a RDBMS Change Data Capture approach for updating the in-memory data grid. Their products are very much in-line with Greg Luck’s Deliberate caching and I can see many enterprise products gaining from this new paradigm shift.

We have the pleasure of talking to Per-Åke Minborg, who is the CTO and one of the founders of Speedment AB.

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How does Hibernate Query Cache work

Introduction

Now that I covered both Entity and Collection caching, it’s time to investigate how Query Caching works.

The Query Cache is strictly related to Entities, and it draws an association between a search criterion and the Entities fulfilling that specific query filter. Like other Hibernate features, the Query Cache is not as trivial as one might think.

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