Building a Generic Searching API (and Making it REALLY FAST)
Implementing Generic Searching API Using Abstraction
Welcome to BackendVerse! 🌿
In this video, we implement a Generic Searching API using Abstraction in Spring Boot, designed for scalable and reusable backend architecture. 🚀
You’ll learn how to build a search builder that dynamically constructs queries using Spring Data ExampleMatcher, handles tenant-based filtering, and applies sorting & pagination — all from a single generic layer.
🧩 What You’ll Learn in This Video:
📌 Building a Generic Search API in Spring Boot
📌 Using Abstraction and Inheritance for reusable DTOs
📌 Implementing Dynamic Pagination & Sorting
📌 Injecting Tenant ID using Context Propagation
📌 Handling Validation Exceptions with custom logic
📌 Designing a BaseSearchDTO for all entities
🎯 Why Watch This Video:
✔️ Learn advanced Spring Boot + JPA patterns
✔️ Write cleaner, reusable backend search logic
✔️ Understand multi-tenant architecture handling
✔️ Gain practical knowledge for real-world microservices
🧩 Tech Stack
Gradle
Intellij
Java 21
Spring Boot 3
Apache Kafka
Redis
MongoDB
Docker
Docker Compose
🕒 Timestamps
00:00 – Introduction & Overview | Designing a Generic Search Base Code for all entities — handle search, sort, pagination efficiently. Difference between junior vs senior developer approach.
03:09 – Creating Filter Request in Java
03:50 – Abstract Base Search DTO | Designing an Abstract DTO for flexible, scalable search parameters | Building a reusable Filter Request for dynamic search queries.
04:31 – Pagination & Sorting Setup | Implementing page, size, sort object keys in DTO for optimized pagination.
06:25 – Generic Pagination Function | Writing a Java generic pagination function for reusability across entities.
11:32 – Generic Search with Reflection & Java Generics | Implementing a dynamic, reflection-based search function using Java Generics.
18:05 – Adding Tenant ID Support | Integrating multi-tenant ID handling inside the generic search functionality.
22:22 – Creating Controller Method | Building the API controller to expose the generic search endpoint.
23:26 – Creating Service Layer Method | Implementing service-level abstraction for cleaner architecture.
23:40 – Using Generic Search Function in Service | Connecting the Generic Search function inside the service implementation.
24:18 – DAO Layer Implementation | Creating a Data Access Layer for flexible and reusable search logic.
26:00 – Generic Base Response Class | Building a standardized response wrapper for consistent API responses.
29:36 – Service-Level Data Processing | Handling business logic and post-search data transformation.
30:38 – Testing the Generic Search API | Running and verifying your Generic Search implementation.
37:20 – Tenant ID Injection Feature | Implementing enable/disable Tenant ID injection via global context for multi-tenant applications.
42:16 – Complete Walkthrough | Explaining the Abstract Base Search Generic Class, each method, and how the entire system works together.
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