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This article provides an in-depth exploration of common issues and solutions for LIKE queries in Spring Data JPA. Through analysis of practical cases, it explains why LIKE '%place%' queries return no results while LIKE 'place' works perfectly. The article systematically covers the correct usage of @Query annotation, Spring Data JPA's query derivation mechanism, and how to simplify query development using keywords like Containing, StartsWith, and EndsWith. Additionally, it addresses advanced features including query parameter binding, SpEL expressions, and query rewriting, offering comprehensive guidance for implementing LIKE queries.

This article provides an in-depth exploration of performance optimization strategies for bulk insert operations in Spring Data JPA. By analyzing Hibernate's batching mechanisms, it details how to configure batch_size parameters, select appropriate ID generation strategies, and leverage database-specific JDBC driver optimizations (such as PostgreSQL's rewriteBatchedInserts). Through concrete code examples, the article demonstrates how to transform single INSERT statements into multi-value insert formats, significantly improving insertion performance in databases like CockroachDB. The article also compares the performance impact of different batch sizes, offering practical optimization guidance for developers.

This article details the changes in Spring Data JPA from Spring Boot 2.0, where the findOne() method was replaced by findById() returning Optional. It provides practical code examples for three common usage scenarios: obtaining default values, throwing exceptions, and conditional handling, aiding developers in transitioning smoothly to the new API and preventing NullPointerException.

This article provides a comprehensive exploration of mapping native SQL query results to non-entity POJO objects in Spring Data JPA. Through detailed analysis of @SqlResultSetMapping, @ConstructorResult, and @NamedNativeQuery annotations, complete code examples and best practice guidelines are presented to help developers efficiently handle object mapping in complex query scenarios.

This article provides an in-depth exploration of utilizing Spring Expression Language (SpEL) for property-level parameter queries in Spring Data JPA. By analyzing the limitations of traditional parameter binding, it introduces the usage of SpEL expressions in @Query annotations, including syntax structure, parameter binding mechanisms, and practical application scenarios. The article offers complete code examples and best practice recommendations to help developers elegantly address complex query requirements.

This article provides an in-depth analysis of the 'No converter found capable of converting from type' exception in Spring Data JPA, focusing on type conversion issues between entity classes and projection classes. Through comparison of different solutions including manual conversion, constructor invocation via @Query annotation, and Spring Data projection interfaces, complete code examples and best practice recommendations are provided. The article also incorporates experience with MapStruct extension libraries to supplement configuration points for type converters, helping developers thoroughly resolve such conversion exceptions.

This article provides a comprehensive exploration of combining OrderBy with findAll in Spring Data JPA to query all records sorted by specified fields. By analyzing the inheritance hierarchy of JpaRepository and method naming conventions, along with code examples, it elucidates the correct usage of the findAllByOrderBy method and common pitfalls. The paper also compares alternative sorting approaches and offers guidance for practical applications, enabling developers to efficiently leverage Spring Data's built-in features for sorted data queries.

This technical article provides an in-depth analysis of why the @Column annotation's name attribute is ignored in Spring Boot applications using JPA. It examines the naming strategy changes in Hibernate 5+, detailing how the default SpringNamingStrategy converts camelCase to snake_case, overriding explicitly specified column names. The article presents two effective solutions: configuring the physical naming strategy to PhysicalNamingStrategyStandardImpl for direct annotation name usage, and employing EJB3NamingStrategy to avoid naming transformations. It also explores the impact of SQL Server dialects on naming behavior and demonstrates different configuration outcomes through comprehensive code examples.

This article comprehensively examines the infinite recursion issue encountered when serializing Hibernate JPA bidirectional associations with Jackson. By analyzing the root cause, it focuses on the @JsonIgnore annotation solution and compares it with alternatives like @JsonManagedReference and @JsonBackReference. The article includes complete code examples and practical recommendations to help developers effectively avoid StackOverflowError.

This article explores modern approaches to user authentication in Java EE 6 platforms, combining JSF 2.0 with JPA entities. It focuses on form-based authentication using j_security_check, configuring security realms via JDBC Realm, and programmatic login with Servlet 3.0's HttpServletRequest#login(). The discussion includes lazy loading mechanisms for retrieving user information from databases and provides comprehensive solutions for login and logout processes, aiming to help developers build secure and efficient Java EE web applications without relying on external frameworks.

This article explores various methods to implement IN clause queries in Spring CrudRepository, focusing on the concise approach using built-in keywords like findByInventoryIdIn, and comparing it with flexible custom @Query annotations. Through detailed code examples and performance analysis, it helps developers understand how to efficiently handle multi-value query scenarios and optimize database access performance.

This article discusses the 'Not supported for DML operations' exception encountered when executing custom delete queries in JpaRepository with Spring Data JPA. By analyzing the cause, it highlights the need for the @Modifying annotation and proper return types. Code examples, transaction management considerations, and best practices are provided to help developers deeply understand JPA DML operation handling mechanisms.

This paper provides an in-depth analysis of the common org.hibernate.MappingException in Hibernate framework, focusing on the root causes and solutions for java.util.Set type mapping errors. Through detailed code examples and configuration explanations, it elaborates on the correct usage of @OneToMany annotation, key configuration points of @JoinTable annotation, and potential issues with mixed annotation placement strategies. The article also offers complete rewritten entity class examples and best practice recommendations to help developers thoroughly resolve such mapping exceptions.

This article provides an in-depth analysis of the common error "Unable to find a @SpringBootConfiguration" encountered during testing in Spring Boot and Spring Data JPA projects. Based on the best answer, it identifies improper placement of configuration classes as the root cause due to Spring Boot's scanning mechanism and offers a solution by moving configuration classes to higher-level packages. Through code examples and structural adjustments, it guides developers in optimizing project layouts for seamless test execution.

This article provides an in-depth exploration of common XML schema validation errors in Spring projects, particularly those arising when using Spring Data JPA. Through analysis of a typical error case in Eclipse environments, the article explains the root causes in detail and presents multiple effective solutions. Key topics include: understanding XML schema validation mechanisms, analyzing Spring version compatibility issues, configuring Maven dependencies and repositories, adjusting XML schema declaration approaches, and utilizing Eclipse validation tools. Drawing from multiple practical solutions with emphasis on the best-practice answer, the article helps developers completely eliminate these annoying validation errors and improve development experience.

This paper provides an in-depth analysis of the HikariCP connection pool leak detection mechanism in Spring Boot applications, specifically addressing false positive issues when using SQL IN operator queries. By examining HikariCP's leakDetectionThreshold configuration parameter, connection lifecycle management, and Spring Data JPA query execution flow, the fundamental causes of connection leak detection false positives are revealed. The article offers detailed configuration optimization recommendations and performance tuning strategies to help developers correctly understand and handle connection pool monitoring alerts, ensuring stable application operation in high-concurrency scenarios.

This article provides an in-depth analysis of the common 'Error creating bean with name entityManagerFactory' issue in Spring Boot projects, focusing on Hibernate JPA configuration problems. Through detailed examination of error stacks and configuration examples, it explains common causes such as connection pool exhaustion and dependency version conflicts, and offers solutions based on JAXB API dependency addition. The article uses real-world cases with Spring Boot 1.4.1 and Hibernate 5.0.11 to provide complete configuration repair steps and best practice recommendations.

This article provides a comprehensive guide on handling duplicate entry exceptions in MySQL for Java applications, focusing on the use of Spring's DataIntegrityViolationException for exception catching with code examples. It discusses potential issues with direct exception handling and recommends using findBy checks to preemptively avoid exceptions, enhancing code robustness and performance. Alternative approaches using JDBC's SQLIntegrityConstraintViolationException are also covered to offer complete best practices for developers.

This article provides an in-depth analysis of the 'Unable to start embedded Tomcat' error in Spring Boot applications, focusing on the root cause of missing Hibernate dialect configuration. Through detailed examination of error stack traces, the article offers comprehensive solutions including proper database dialect configuration in application.properties, understanding Spring Boot auto-configuration mechanisms, and avoiding common configuration pitfalls. Code examples demonstrate correct configuration for MySQL and SQL Server dialects to ensure successful application startup.

This article provides an in-depth examination of the N+1 query problem commonly encountered in Object-Relational Mapping (ORM) frameworks. Through practical examples involving cars and wheels, blogs and comments, it systematically analyzes the problem's generation mechanisms, performance impacts, and detection methods. The paper contrasts FetchType.EAGER and FetchType.LAZY loading strategies, offers multiple solutions including JOIN FETCH and eager loading, and introduces automated detection tools to help developers fundamentally optimize database access performance.