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One of the most discussed features in 19c is . Historically, creating and maintaining indexes was a manual process of trial and error. Oracle 19c uses machine learning to monitor the application workload, identify missing indexes, and validate them before they are fully implemented. This is complemented by Real-Time Statistics , which allows the optimizer to gather essential data during DML operations rather than waiting for scheduled maintenance windows, leading to more accurate execution plans for SQL queries. 2. Enhanced SQL and PL/SQL Capabilities
Oracle 19c, SQL Reference, Documentation, PDF, New Features, Database Administration. oracle sql 19c pdf new
Oracle SQL 19c also refines the optimizer and execution engine. The introduction of automatic indexing reduces the manual burden of index management; the database can autonomously create, monitor, and drop indexes based on actual workload patterns. Additionally, in-memory columnar processing has been extended with support for hybrid partitioned tables, accelerating analytical queries across mixed storage types. One of the most discussed features in 19c is