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Duration 14 hours
Course Outline
1. Introduction and Key Updates in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-centric roadmap.
- High-level exploration of AI Vector Search, JSON/relational duality, and async drivers.
- Analysis of how 23ai transforms standard developer workflows and application patterns.
2. Practical Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory sessions.
- Setup of JDK, IDE, and client drivers (including JDBC and R2DBC where applicable).
- Establishing initial connections, executing simple queries, and scaffolding a sample project.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Incorporating the enhanced JSON data type and JSON collections into application code.
- Exploring duality patterns: determining when to prefer relational versus JSON approaches.
- Case studies: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Introduction to AI Vector Search, vector data types, and vector indexing.
- Developing a semantic search example: covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code, discussing conceptual examples with LangChain/LlamaIndex.
5. Asynchronous Programming, Pipelining, and Performance Strategies
- Understanding driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Examining client-side patterns (such as reactive streams and Java virtual threads) and their server-side impact.
- Practical lab: Implementing pipelined calls and analyzing throughput enhancements.
6. SQL, PL/SQL Improvements, and Security Measures
- New SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- Overview of SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Hands-on activity: Refactoring a small procedure to utilize new language features and testing SQL Firewall behavior in a controlled environment.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, creating representative test data, and assessing behavior with new features.
- Packaging and deploying developer applications that utilize 23ai features into test environments.
- Review checklist: performance tuning, compatibility considerations, and roadmap for production readiness.
Summary and Future Directions
Requirements
- Foundational understanding of SQL and relational database principles.
- Practical experience in application development using Java or comparable languages.
- Basic familiarity with PL/SQL or server-side scripting concepts.
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks.
- Database developers and PL/SQL engineers.
- DevOps engineers overseeing developer tooling and CI environments.
Testimonials (2)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
Greg was very patient and helpful
