Vlad Mihalcea High-performance Java Persistence Pdf

Moving away from dangerous FetchType.EAGER mappings (which cause massive performance degradation) toward explicit, query-specific FetchType.LAZY fetching using JOIN FETCH or Entity Graphs.

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Epilogue — A principled checklist for high-performance persistence

database queries. Mark all relationships ( @ManyToOne , @OneToMany , @OneToOne ) as FetchType.LAZY . If you need child collections, fetch them explicitly in your repository queries using JPQL, Criteria API, or Entity Graphs. Enable JDBC Batching Moving away from dangerous FetchType

: Understand how to pool connections to save time.

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The choice of primary key generation impacts write throughput. Strategies like GenerationType.IDENTITY disable Hibernate's ability to use JDBC batch inserts because the database must execute the insert immediately to determine the ID. Mihalcea advocates for GenerationType.SEQUENCE combined with optimized allocation sizes ( pooled or pooled-lo optimizers) to enable seamless write batching.

Understanding the persistence context lifecycle is mandatory for eliminating hidden architectural flaws.