This article explains MyBatis dynamic SQL, its purpose, and how to use various tags such as if, where, trim, choose, foreach, include, sql, resultMap, association, and collection, providing detailed code examples and best‑practice guidelines for building flexible and secure SQL statements in Java applications.
This article explains MyBatis dynamic SQL concepts, details the nine dynamic tags (if, where, set, choose, trim, foreach, sql, include, association), provides complete XML mapper examples with code snippets, and demonstrates one‑to‑many, many‑to‑one, and many‑to‑many association queries for Java backend development.
This guide shows how to install ThinkORM for PHP 8, then demonstrates inserting, querying, and updating JSON‑type columns both with raw queries and model classes, covering whole‑JSON operations, conditional searches, and handling JSON arrays in a ThinkPHP environment.
This tutorial explains how to create a lightweight Python ORM without using metaclasses, covering the design of Field, Compare, Model, and Query classes, demonstrating insert and select operations, and extending query capabilities with LIMIT, OFFSET, GROUP BY, and HAVING.
This article explains Laravel's Eloquent ORM relationship loading methods, comparing the eager-loading `with` function and the lazy-loading `load` function, detailing their mechanisms, advantages, cautions, appropriate use cases, and providing practical code examples for backend developers.
This article introduces Easy-Es, an ORM framework built on Elasticsearch's RestHighLevelClient, explains its architecture and advantages, and provides step‑by‑step instructions—including Maven/Gradle setup, configuration, entity and mapper creation, and full CRUD test examples—so developers can quickly integrate powerful search capabilities into Spring Boot applications.
This article introduces Easy-Es, an Elasticsearch ORM that mimics MyBatis‑Plus syntax, explains its key features, shows how to integrate it into a Spring Boot project, and provides comprehensive code examples for index management, CRUD, simple and advanced product searches, recommendation and aggregation functionalities.
Easy-Query is a Java ORM framework offering strong-typed, database-agnostic CRUD operations, complex SQL generation, multi-table joins, group awareness, and extensive function support, demonstrated through numerous code examples covering queries, joins, subqueries, pagination, and advanced features like enum handling and anonymous type alternatives.
Easy-Es is a Java ORM framework built on Elasticsearch's RestHighLevelClient that simplifies search‑engine development, offers Mybatis‑Plus‑like usage, provides configuration and dependency details, and includes complete code examples for creating indexes and performing CRUD operations within Spring Boot applications.
This article explains how Ecotone abstracts database access in PHP by mapping domain objects to tables, hiding low‑level DAO code behind business interfaces, and providing annotations for inserts, updates, custom converters, expression language, pagination, result‑set transformation, and integration with Doctrine ORM and Eloquent models.
In 2024 the Prisma ORM outperforms TypeORM for Node.js projects thanks to more frequent updates, richer ecosystem, superior type safety, simpler integration, built‑in pagination and aggregation features, and a dramatically better developer experience illustrated with real code examples.
Learn how to connect Go applications to MySQL using the native driver and the GORM ORM, covering driver installation, basic connection code, database configuration, query execution, and best practices for model definition and handling common pitfalls.
This article explains how to use MyBatis's @MapKey annotation to map query results into a Java Map, compares common data‑retrieval approaches, provides a concrete example with mapper code, and delves into the internal parsing and result‑handling mechanisms that enable key‑value mapping.
This article provides a comprehensive, step‑by‑step analysis of MyBatis, covering its core features, three‑layer architecture, configuration file parsing, dynamic proxy generation, and the detailed process of executing SQL statements within the framework.
This article provides a detailed, global‑level review of MyBatis, covering its main features such as SQL mapping, dynamic SQL, parameter and result mapping, transaction management, connection‑pool integration, second‑level cache, as well as the three‑layer architecture, configuration parsing, proxy creation, and SQL execution process.
This article explains MyBatis's first‑level and second‑level cache mechanisms, illustrates common consistency problems caused by default cache settings in both distributed and single‑session scenarios, and provides practical recommendations such as adjusting localCacheScope or deep‑copying results to avoid cache pitfalls.
This article examines the various design patterns—such as Factory, Singleton, Builder, Adapter, Proxy, Composite, Decorator, Template, Strategy, and Iterator—employed within the MyBatis source code, explaining their structures, usage scenarios, and related components to illustrate how the framework achieves modularity and flexibility.
This article explains how to use the MyBatis @MapKey annotation to map query results into a Java Map, provides a concrete code example, and delves into the internal processing steps—including MapperProxy, MapperMethod, MethodSignature, and DefaultMapResultHandler—that enable this functionality.
This article introduces MyBatis‑Flex, a lightweight and high‑performance MyBatis enhancement framework, outlines its key features, compares it with similar tools, presents benchmark results, lists supported databases, and provides a step‑by‑step quick‑start tutorial with complete code examples for Spring Boot integration.
Learn how to leverage MyBatis-Plus's built-in CRUD capabilities, create custom SQL methods like SelectByErp, integrate them via a custom SqlInjector, and modify existing operations such as AlwaysUpdateSomeColumnById and UpdateById for sharding scenarios, enabling reusable and efficient data access across your backend.
This article walks through the step‑by‑step evolution from raw JDBC to the MyBatis framework, explaining why JDBC should be wrapped, how MyBatis improves connection handling, SQL management, dynamic statements, result mapping, caching, and overall architecture with concrete code examples.
This article provides a comprehensive, step‑by‑step overview of MyBatis’s architecture—including its three‑layer design, configuration parsing, proxy generation, and SQL execution process—while highlighting key features such as SQL mapping, dynamic SQL, parameter and result mapping, transaction management, connection‑pool integration, and second‑level caching.
This tutorial explains how to add enum types to GORM models in Go, covering definition of enum values, model integration, CRUD operations using enums, and alternative approaches such as string fields, custom types, and GORM's built‑in enum tag to enhance type safety and database reliability.
This article provides a comprehensive, step‑by‑step analysis of MyBatis’s overall architecture, covering its core features, three‑layer design, configuration parsing, proxy generation, SQL execution process, and the underlying components that enable seamless Java‑to‑SQL mapping.
This article introduces Easy-Es, a Java ORM framework built on Elasticsearch's RestHighLevelClient that simplifies query construction and CRUD operations, provides step‑by‑step setup including Maven dependencies, configuration, entity and mapper definitions, controller examples, and advanced features such as condition builders, index management, logging, and aggregation queries.
This article analyzes the MyBatis source code, illustrating how it applies a variety of design patterns—including Factory, Singleton, Builder, Adapter, Proxy, Composite, Decorator, Template, Strategy, and Iterator—to solve complex architectural challenges and improve modularity, extensibility, and maintainability.
This article presents a typical requirement to calculate count, minimum, maximum, and average scores for three subjects in a student_score table, demonstrates how to fulfill it using raw SQL, then shows step‑by‑step implementations with Fluent MyBatis, native MyBatis XML, and MyBatis‑Plus code generation, and finally compares the three approaches highlighting their pros and cons.
This article demonstrates how to implement a statistical query on a student_score table using three ORM frameworks—Fluent Mybatis, native Mybatis, and Mybatis‑Plus—showing code examples, configuration steps, and a side‑by‑side comparison of their ease of use and generated code.
Version 3.5.4‑SNAPSHOT of MyBatis‑Plus introduces auto‑increment primary key handling, generic extraction, new BaseMapper update and streaming query methods, batch operations, expanded Spring Boot 3 support, numerous dependency upgrades, and a series of optimizations and bug fixes that improve performance, compatibility, and developer ergonomics.
The MyBatis source code, spanning over twenty thousand lines, extensively applies creational, structural, and behavioral design patterns—such as Factory, Singleton, Builder, Adapter, Proxy, Composite, Decorator, Template, Strategy, and Iterator—to decouple complex scenarios and illustrate advanced backend architecture practices.
This article demonstrates how to implement a statistical query on a student_score table—calculating count, min, max, and average scores per term and subject—using Fluent Mybatis, native Mybatis, and Mybatis‑Plus, compares their code complexity, and provides code generation settings for each framework.
This article explains how MyBatis binds mapper interfaces to XML files, details the complete SQL execution flow—including mapper retrieval, statement preparation, parameter handling, and result mapping—and demonstrates how to create custom TypeHandlers for both parameter setting and result set processing.
This article provides a comprehensive guide to MyBatis dynamic SQL, explaining its features, common XML tags such as if, where, set, choose, trim, foreach, include, and sql, and demonstrates how to implement CRUD operations, conditional queries, batch processing, and association mappings with clear code examples.
This article walks through the step‑by‑step evolution from raw JDBC queries to the MyBatis persistence layer, highlighting why JDBC should be wrapped, the design improvements MyBatis introduces, core components, execution flow, initialization mechanisms, and related design patterns, all illustrated with code snippets and diagrams.
MyBatis-Flex is a lightweight, high‑performance enhancement to MyBatis that offers flexible query tools, extensive database support, and impressive speed gains over MyBatis‑Plus, with a step‑by‑step quick‑start guide for Spring Boot integration.
Bean Searcher is an open‑source Java library that delivers a condition‑retrieval engine up to 100 times faster than MyBatis, natively supports multi‑table joins, pagination, sorting and aggregation, and enables developers to implement sophisticated list‑search APIs with a single line of code, dramatically reducing backend development effort.
This article explains MyBatis dynamic SQL, its powerful XML tags, how to build conditional queries, batch operations, and association mappings, providing clear code examples and best‑practice tips for Java backend developers.
MyBatis‑Plus 3.5.13 introduces dynamic SQL smart optimization, a richer code generator, significant heap‑memory reduction, Spring Boot 3 and JDK 17 native support, new database adapters, enhanced optimistic locking, multi‑parameter filling, and comprehensive SQL‑injection safeguards, all aimed at faster, more productive backend development.
This article introduces MyBatis‑Flex, a lightweight yet high‑performance MyBatis enhancement framework, outlines its key features, compares it with similar tools, lists supported databases, and provides a step‑by‑step Spring Boot quick‑start tutorial with complete code examples.
This article provides a step‑by‑step tutorial on integrating MyBatis‑Plus into a Spring Boot project, covering dependency setup, configuration of data sources, entity annotations, CRUD operations, pagination, logical deletion, enum handling, automatic field filling, and multi‑datasource usage with complete code examples.
This article evaluates MyBatis-Plus (MP) for Java backend development, highlighting its convenient CRUD shortcuts, code examples, maintenance challenges, magic value pitfalls, and recommended practices such as using LambdaQueryWrapper, pagination, and avoiding overly complex SQL within MP.
This article introduces MyBatis‑Flex, a lightweight yet powerful MyBatis enhancement framework, outlines its key features and advantages, compares it with similar tools, presents performance benchmarks, lists supported databases, and provides a step‑by‑step quick‑start tutorial with code examples for Spring Boot integration.
This article examines MyBatis-Plus, highlighting its convenient CRUD shortcuts and pagination features while warning about maintenance challenges, magic strings, and limited support for complex SQL, and offers practical recommendations for using LambdaQueryWrapper and organizing queries in backend Java projects.
This article introduces the MyBatis-Flex ORM framework, highlights its lightweight, flexible, and high‑performance design, compares its features and benchmark results with MyBatis‑Plus, and provides practical code examples for queries, multi‑table joins, partial updates, data masking, multi‑datasource support, and field encryption.
This article introduces MyBatis-Flex, a lightweight high‑performance MyBatis enhancement framework, outlines its key features, compares it with MyBatis‑Plus and Fluent‑MyBatis, lists supported databases, and provides a step‑by‑step quick‑start tutorial with code examples.
This article examines the ongoing debate around MyBatis‑Plus, highlighting its convenience for simple CRUD operations, the maintenance challenges it introduces, and practical guidelines—such as using LambdaQueryWrapper and pagination plugins—to decide when the framework is appropriate for Java backend projects.
MyBatis-Flex is a lightweight, high‑performance extension to MyBatis that adds full CRUD, pagination, multi‑table and batch operations while preserving all MyBatis features, supports multi‑datasource relations, recursive queries, and provides extensive annotations such as @Relation for flexible data mapping, with recent v1.4.9 updates and bug fixes.
This article explains how MyBatis implements first‑level (session) and second‑level (cross‑session) caches, the conditions required for each to work, why the first‑level cache often fails in Spring Boot without transactions, how to enable and use the second‑level cache safely, and the hidden risks of stale data when different mappers share related tables.
This article introduces BeetlSQL's recent updates—including Oracle12Style support and a version upgrade—provides the Maven dependency configuration, lists the wide range of databases it works with, and presents detailed benchmark comparisons against other ORM frameworks.
This article explains how MyBatis delegates SQL execution to four core objects—Executor, StatementHandler, ParameterHandler, and ResultSetHandler—detailing their architecture, implementations such as SimpleExecutor, ReuseExecutor, BatchExecutor, and demonstrating three common batch insertion techniques with code examples.
Easy-Trans is a Spring Boot starter that leverages ORM frameworks like MyBatis‑Plus, JPA, and BeetlSQL to automatically translate IDs, dictionary codes, and enum values into human‑readable data, supporting caching, multi‑data‑source, micro‑service RPC, and flexible configuration for backend developers.
This article provides a comprehensive guide to MyBatis dynamic SQL, demonstrating how to use if, choose, trim, foreach, and bind tags for conditional queries, updates, inserts, batch operations, and database‑agnostic expressions, complete with Maven project setup, SQL scripts, and test cases.
This article explains what SQL injectors are in MyBatis‑Plus, lists the built‑in extended injectors, shows how to configure them globally, demonstrates custom mapper creation, provides complete code examples and test cases, and guides readers through building their own SQL injector for full‑field updates and batch operations.
This article introduces the MyBatis‑Plus‑Join library that adds join capabilities to MyBatis‑Plus, explains how to install it via Maven or Gradle, shows how to extend mapper and service interfaces, and provides detailed code examples for simple three‑table queries, pagination, and advanced custom SQL usage.
This article analyzes how 33% of data‑center defects stem from big‑data scheduling errors and proposes an automated testing system that monitors data metric integrity, accuracy, and timeliness through interface automation, visual dashboards, alert bots, and a custom ORM framework to dramatically improve ROI.
This article provides a step‑by‑step guide to building a PHP MVC framework from scratch, covering MVC basics, directory structure, routing, controllers, models, views, core utilities, and includes sample code snippets throughout for developers.
This tutorial shows how to use the MyBatis‑Plus‑Join (MPJ) extension to perform left‑join queries, modify mappers, build queries with MPJLambdaWrapper and MPJQueryWrapper, and add pagination, eliminating the need for manual XML SQL while improving development efficiency.
This article provides a detailed tutorial on setting up MyBatis Generator in a Spring Boot application, covering configuration file placement, XML adjustments, Maven dependencies, execution steps, and the resulting model, mapper, and XML files with full code examples.
SQLAlchemy 2.0.7 has been released, addressing a critical caching bug in custom operator expressions, fixing typing issues with composite(), adding the PostgreSQL CITEXT type, and improving dialect compatibility, with all changes back‑ported to earlier stable releases.
This article provides a detailed introduction to MyBatis‑Plus, covering its core features, step‑by‑step quick‑start instructions, CRUD operations, advanced configurations such as optimistic locking, logical deletion, pagination, performance analysis, and the built‑in code generator, all illustrated with complete Java code examples.
This article examines how MyBatis leverages around ten core design patterns—including Factory, Singleton, Builder, Adapter, Proxy, Composite, Decorator, Template, Strategy, and Iterator—to decouple complex scenarios, improve modularity, and streamline ORM operations within its extensive codebase.
This tutorial walks through integrating MyBatis‑Plus into a Spring Boot project, covering dependency setup, configuration of data sources, entity annotations, service and mapper layers, pagination, logical deletion, enum handling, automatic field filling, multi‑datasource support, and testing with full code examples.
The article explains how to replace repetitive raw SQL and manual row scanning in Go by building a lightweight custom ORM that combines a chainable SQLBuilder for dynamic query construction with a reflection‑based Scanner that maps results to structs, also covering code generation and optional non‑reflection optimizations.
This article presents the architecture, technology choices, and practical implementation details of FairPushy—a Dart‑driven backend and Flutter dynamic‑update platform—covering server development, concurrency handling, ORM integration, automated build pipelines, and deployment strategies for seamless hot‑reloading of mobile applications.
This article provides a comprehensive guide to MyBatis, covering its basic concepts, Maven dependency configuration, XML setup, entity and mapper definitions, execution flow using dynamic proxies, and a custom lightweight framework implementation with full Java code examples.
This tutorial demonstrates how to use the MyBatis-Plus-Join (MPJ) library to perform left and right join queries in a Spring Boot project without writing XML SQL, covering dependency setup, mapper modification, query construction with MPJLambdaWrapper and MPJQueryWrapper, and pagination support.
This tutorial explains how to integrate MyBatis into a Spring Boot project, covering setup, basic CRUD examples, dynamic SQL techniques, one‑to‑one and one‑to‑many mappings, pagination support, and provides complete code snippets for each step.
This guide walks you through integrating MyBatis with Spring Boot, covering basic CRUD operations, dynamic SQL constructs like if, choose, where, set, foreach, as well as advanced mapping techniques, pagination plugins, and practical code examples to help you master MyBatis in real-world projects.
This article explains how MyBatis-Plus's saveOrUpdate method works, why a primary‑key annotation is required, and how to control insert or update operations using UpdateWrapper or QueryWrapper, including code examples, common pitfalls, and practical tips for handling auto‑increment IDs.
This article walks through MyBatis's complete query lifecycle—from configuration parsing, SqlSessionFactory creation, and mapper loading to the actual SELECT execution—while reproducing a pre‑3.4.5 bug caused by foreach variable leakage and presenting the official fix and upgrade recommendations.
This article explains how MyBatis‑Plus maps Mapper interface methods to executable SQL statements, detailing the auto‑configuration of SqlSessionFactory, XML parsing, mapper registration, SQL injection, and the dynamic proxy mechanism used at runtime.
This article compares Fluent MyBatis, native MyBatis, and MyBatis Plus by implementing a student score aggregation query, showcasing code examples, generator settings, and a detailed feature matrix to help developers choose the most efficient ORM for complex SQL construction.
This comprehensive guide explains MyBatis fundamentals, compares it with Hibernate, details its lifecycle, configuration, dynamic SQL, caching, lazy loading, batch operations, pagination, and plugin development, providing code examples and best‑practice recommendations for Java backend developers.
This article explains how Lombok annotations such as @Data, @Builder, @Wither, and @Accessors can simplify Java bean creation for ORM entities, builder pattern utilities, wither-style object modification, and fluent accessor methods, while addressing common pitfalls like missing constructors and default values.
The article demonstrates how to implement lightweight field-level encryption in MyBatis by adding encrypted columns, creating a custom interceptor that encrypts annotated parameters on write and decrypts them on read, handling executor, statement, parameter, and result set processing, and addressing pagination count queries.
This guide walks through integrating MyBatis-Plus with Spring Boot, covering environment setup, Maven dependencies, configuration of data sources, entity annotations, CRUD services, pagination, logical deletion, enum handling, automatic field filling, multi‑data‑source strategies, and testing with full code examples.
This article provides a detailed tutorial on integrating MyBatis-Plus into a Spring Boot project, covering dependency setup, configuration, entity annotations, CRUD operations, pagination, logical deletion, enum handling, automatic field filling, and multi‑datasource support, with complete code examples.
A comprehensive guide walks you through integrating MyBatis-Plus with Spring Boot, detailing dependency setup, configuration, entity annotations, CRUD operations, pagination, logical deletion, enum mapping, automatic field filling, multi‑datasource handling, and testing, all illustrated with runnable code examples.
This article provides a comprehensive analysis of MyBatis, covering its core architecture, the process of obtaining SqlSessionFactory and SqlSession, the dynamic proxy mechanism for mappers, the execution flow of SQL statements, the plugin system, first‑ and second‑level caching strategies, and how Spring manages MyBatis mappers through factory beans and import registrars.
This comprehensive guide explains what MyBatis is, compares it with Hibernate, details its core components, configuration, dynamic SQL, caching, plugins, pagination, and practical usage patterns, providing Java developers with clear examples, code snippets, and visual diagrams to master the framework efficiently.
This article examines a MyBatis bug present in versions prior to 3.4.5 by reproducing the issue, walking through the complete query execution flow from configuration parsing to result handling, identifying the root cause in foreach variable binding, and presenting official fixes and practical work‑arounds.
This article introduces MyBatis-Mate, an official MyBatis-Plus extension that offers enterprise‑grade capabilities such as dictionary binding, field encryption, data masking, dynamic DDL generation, multi‑datasource sharding, data‑scope filtering, and SQL performance logging, complete with Maven dependency setup and code examples.
This article explains how different data models—from relational tables to JSON documents and graph structures—affect software design, storage, querying, and scalability, illustrating concepts with a resume example and discussing trade‑offs such as impedance mismatch, normalization, and multi‑entity relationships.
The article walks through building a lightweight Java ORM framework from scratch, showing JDBC drawbacks, defining XML configuration and mapper files, implementing core components like SqlSessionFactory, SimpleExecutor, and reflection‑based parameter and result mapping, and demonstrating a working test that returns POJOs.
This article explains how to replace raw PyMySQL usage with SQLAlchemy ORM in Python, covering environment setup, database connection initialization, MVC‑style project structure, model class definitions, field attributes, session handling with context managers, and practical code examples for saving and querying data.
Bean Searcher is an open‑source Java library that dramatically simplifies backend list retrieval by offering a high‑performance search engine with built‑in multi‑table joins, pagination, sorting, field selection and aggregation, allowing developers to implement complex queries in just one line of code.
The article explains how ORM bridges Python objects and relational databases, compares options, and justifies choosing the lightweight Peewee library, then details its workflow—model generation, inserting, updating, deleting, and querying records—showcasing how this approach reduces manual data‑creation time from hours to seconds.
The article introduces MyBatis‑Pro, a Spring‑Boot starter that eliminates manual single‑table SQL by generating CRUD methods through naming conventions, explains quick integration, core features, configuration options, entity annotations, logical‑delete strategies, generic services, and provides extensive code examples for developers.
RedisOM, the official Redis ORM for Java, lets Spring Boot developers replace RedisTemplate with object‑oriented data handling and built‑in full‑text search, covering JDK 11 setup, Maven dependencies, configuration, entity annotations, repository interfaces, and REST controller examples for managing product data.
An in‑depth guide shows how running 100 concurrent MyBatis queries triggers a ClassCastException, explains the underlying cache placeholder issue, and demonstrates how Spring Boot’s SqlSessionTemplate and transaction management guarantee thread‑safe SqlSession usage through ThreadLocal binding.
This article provides a comprehensive overview of MyBatis, detailing its three‑layer architecture, core modules such as caching, reflection, and transaction management, as well as the complete execution process from configuration files to SQL execution, helping developers master the framework for enterprise‑level Java applications.
This article explains MyBatis's first‑level and second‑level caching mechanisms, demonstrates data inconsistency problems caused by joined‑table queries, and provides a custom annotation‑driven relation cache solution with code examples for configuring and validating the cache behavior.
This article explains how MyBatis' ${} and #{} placeholders differ in SQL generation, demonstrates their usage with code examples, analyzes the SQL injection risks of ${} versus the safety of #{} through prepared statements, and provides practical guidelines for choosing the appropriate placeholder in various scenarios.
This article explains MyBatis dynamic SQL, covering its purpose, the distinction between static and dynamic SQL, the core SqlNode and SqlSource classes, how MyBatis parses and assembles SQL scripts recursively, and provides concrete code examples to illustrate each step.
This article walks through setting up GORM in a Go project, covering dependency management, database initialization, model definition, and practical examples of select, insert, update, delete, raw SQL execution, and transaction handling with detailed code snippets.
This article explains how MyBatis' ${} and #{} placeholders differ in syntax substitution and security, demonstrates their usage with DAO interfaces, Mapper XML, and JUnit tests, analyzes SQL injection risks, shows the underlying PreparedStatement handling, and provides practical guidelines for when to use each placeholder.
MyBatis-Plus, a MyBatis enhancement toolkit, streamlines CRUD development, celebrates its fifth consecutive OSC popularity award, and introduces version 4.0 with a comprehensive update log that includes MyBatis 3.5.9 upgrade, dynamic mapper injection, new hooks, and numerous performance and compatibility improvements.
The article introduces a lightweight Go ORM for MySQL, explains native connection setup, details the SmallormEngine design with chainable methods for Table, Where, Insert, Update, Delete, and BatchInsert, and demonstrates how reflection builds SQL fragments while handling errors and supporting fluent query composition.
Learn how Bean Searcher enables Java backend developers to replace dozens of lines of ORM code with a single, flexible query method, supporting multi-table joins, dynamic filters, pagination, sorting, and custom operators, dramatically boosting development efficiency for complex list retrieval scenarios.
This article introduces the Java Persistence API (JPA), explains why Spring Data JPA has become an essential skill for large companies, outlines its benefits for development efficiency and career growth, and recommends the comprehensive book “Spring Data JPA: From Basics to Advanced” with its detailed structure and practical examples.
