Oracle AI Database 26ai

Oracle AI Database 26ai is now available across multiple platforms, including:

• RCONFIG Utility
  The older RCONFIG command-line utility is no longer supported. Users are encouraged to use updated configuration management tools and scripts provided within the AI-native ecosystem.

• MKSTORE Wallet Management Tool
  The legacy mkstore command-line tool for managing Oracle wallets is deprecated. Oracle recommends using modern wallet management interfaces and cloud-native security services.

• Persistent Memory (PMEM) Database Support
  Direct support for Oracle Persistent Memory (PMEM) databases has been phased out, in favor of AI-optimized storage and caching solutions.

• Oracle Memory Speed (OMS) File System
  The OMS file system is no longer supported. Alternative high-performance storage solutions are recommended for modern workloads.

• WAIT Option in Data Guard SWITCHOOVER
  The WAIT parameter of the Oracle Data Guard SWITCHOOVER command is deprecated. Users should now rely on enhanced Data Guard automation features for seamless role transitions.

• SQLJ Embedded SQL in Java
  The SQLJ method of embedding SQL statements directly in Java applications is deprecated. Developers are encouraged to migrate to JDBC or modern Java data access frameworks.

• Cluster Health Advisor – AHF Scope
  The Autonomous Health Framework (AHF Scope) feature of Cluster Health Advisor (CHA) is no longer available. Oracle’s enhanced health monitoring and AI-driven diagnostics replace its functionality.

• Oracle RAC Cross-Instance Archival
  The cross-instance archival feature in Oracle Real Application Clusters (RAC) has been deprecated. Modern backup and replication tools provide more efficient and AI-enabled solutions.

• Zero Downtime Upgrade (ZDU) in Fleet Patching and Provisioning
  The ZDU feature of Oracle Fleet Patching and Provisioning (FPP) is deprecated. Oracle now recommends using fully automated upgrade paths that integrate with AI-native deployment workflows.

• Highly Available Grid Naming Service (GNS) in Grid Infrastructure
  The HA Grid Naming Service feature is deprecated. Cloud-first networking and naming services, along with Oracle’s AI-driven infrastructure management, are the recommended alternatives.

• OPatch and OPatchAuto for Out-of-Place Patching
  The legacy OPatch and OPatchAuto utilities for applying out-of-place patches are deprecated. Oracle now encourages using fully automated patching workflows integrated with AI-driven database management.

• Unstructured XML Indexes
  Support for unstructured XML indexes has been removed. Users should adopt newer indexing methods or structured XML handling features for better performance and scalability.

• Oracle JDBC Methods in LOB Objects
  The methods open(), close(), and isClosed() in OracleBlob, OracleClob, and OracleBfile are deprecated. Modern JDBC APIs should be used for LOB handling in Java applications.

• PL/SQL Packages: DBMS_XMLGEN and DBMS_HANG_MANAGER
  These older PL/SQL packages are no longer supported. Alternative XML and diagnostic packages, along with AI-enabled monitoring tools, provide improved capabilities.

• Oracle XML DB Repository
  The legacy XML DB Repository is deprecated. Oracle recommends moving to newer XML management features or cloud-based storage solutions.

• Oracle Data Provider for .NET (ODP.NET) – Unmanaged Driver
  The unmanaged ODP.NET driver is deprecated. Developers should migrate to the managed ODP.NET driver for better performance, security, and compatibility with AI-native features.

• Transparent Data Encryption (TDE) Decryption Libraries – GOST and SEED Algorithms
  TDE decryption libraries for the GOST and SEED algorithms are no longer supported. Modern encryption standards such as AES are recommended for secure database encryption.

• BIG_IO Attribute of the CONTEXT Indextype
  The BIG_IO attribute is deprecated. Alternative indexing options provide improved search performance and better AI integration.

• ASYNCHRONOUS_UPDATE Setting of the CONTEXT Indextype
  The ASYNCHRONOUS_UPDATE setting is deprecated. Synchronous and AI-optimized indexing mechanisms are now recommended for managing content indexes efficiently.

Conclusion

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