Beginning Spring Data
Apress (Verlag)
978-1-4842-8763-7 (ISBN)
This book shows how to easily incorporate data persistence and accessibility into your microservices, cloud-native applications, and monolithic enterprise applications. It also teaches you how to perform unit and performance testing of a component that accesses a database. And it walks you through an example of each type of SQL and NoSQL database covered.
After reading this book, you’ll be able to create an application that interacts with one or multiple types of databases, and conduct unit and performance testing to analyze possible problems. Source code is available on GitHub.
What You’ll Learn
Become familiar with the Spring Data project and its modules for data access and persistence
Explore various SQL and NoSQL persistencetypes
Uncover the persistence and domain models, and handle transaction management for SQL
Migrate database changes and versioning for SQL
Dive into NoSQL persistence with Redis, MongoDB, Neo4j, and Cassandra
Handle reactive database programming and access with R2DBC and MongoDB
Conduct unit, integration, and performance testing, and more
Who This Book Is For
Experienced Java software application developers; programmers with experience using the Spring framework or the Spring Boot micro framework
Andres Sacco is a Technical Lead at Prisma. He has experience using languages such as Java, PHP, and NodeJs. He also has experience using Spring. In his previous job, Andres helped find alternative ways to optimize the transference of data between microservices, which reduced the cost of infrastructure by 55%. He also has written internal courses about new technologies and articles on Medium. Andres shares his knowledge of using different types of databases, depending on the situation. He has experience with various types of testing, to search for problems in queries or repositories that access the database.
Part I - Introduction.- 1. Architecture of the Applications.- 2. Spring Basics and Beyond.- 3. Spring Data and Persistence Types.- Part II - SQL Persistence.- 4. Persistence and Domain Model.- 5. Transaction Management.- 6. Versioning or Migrate the Changes of the Database.- Part III - NO-SQL Persistence.- 7. Redis key/value Database.- 8. MongoDB Document Database.- 9. Neo4j Graph Database.- 10. Cassandra wide-column Database.- 11. Reactive access w/R2DBC and MongoDB.- 12. Unit/Integration Testing.- 13. Performance Testing.- 14. Best Practices.- Appendix A.- Appendix B.- Appendix C.- Appendix D.- Appendix E.- Appendix F.
| Erscheinungsdatum | 10.01.2023 |
|---|---|
| Zusatzinfo | 136 Illustrations, black and white; XXII, 417 p. 136 illus. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Cloud-native • Code • Data • data access • Java • JDBC • JPA • Kotlin • Microservices • MongoDB • Monoliths • Neo4j • Persistence • programming • R2DBC • source • Spring • Spring Data |
| ISBN-10 | 1-4842-8763-0 / 1484287630 |
| ISBN-13 | 978-1-4842-8763-7 / 9781484287637 |
| Zustand | Neuware |
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