Oracle Apps DBA

By Gowthami | apps-dba.com | Oracle Database Series Oracle Database 23ai (formerly known as Oracle Database 23c) is Oracle's latest long-term support release, bringing a significant leap forward with native AI integration directly into the database engine. This post covers the key new features that every Oracle DBA should know about. Key Insight: Oracle 23ai introduces AI-native capabilities including Vector Search, JSON Relational Duality Views, and True Cache—fundamentally changing how DBAs design and query databases. AI Vector Search One of the most significant additions in Oracle 23ai is AI Vector Search . This feature allows the database to store, index, and query vector embeddings natively, enabling semantic similarity searches alongside traditional SQL queries. The new VECTOR data type stores high-dimensional embeddings. -- Create a table with a vector column CREATE TABLE documents ( id NUMBER PRIMARY KEY, content CLOB, embedding VECTOR(1536, FLOAT32) ...

By Gowthami | apps-dba.com | Oracle Exadata Series If you work with Oracle Exadata, one of the most transformative features you will encounter is Smart Scan . It is the engine behind Exadata's legendary query acceleration, and understanding it deeply is essential for any Oracle DBA working in Exadata environments. In this post, we will break down exactly how Smart Scan works, when it activates, how to verify it, and how to tune your environment to get the most out of it. What is Smart Scan? Smart Scan is Exadata's ability to offload SQL processing — specifically full table scans and index range scans — directly to the Exadata Storage Cells . Instead of the database server reading all data blocks and filtering them in the database layer, Exadata pushes the filter predicates, column projections, and even joins down to the storage cells. Only the relevant rows and columns are returned to the database tier. This is a radical departure from traditional Oracle storage architect...