Table of Contents
- Title and Copyright Information
- Preface
- Overview
- New Feature Announcements
- About Autonomous AI Database on Dedicated Exadata Infrastructure
- Autonomous AI Database Components
- Autonomous AI Database on Dedicated Exadata Infrastructure in AWS region
- Autonomous Database on Dedicated Exadata Infrastructure in Azure region
- Autonomous AI Database for Developers
- Billing Autonomous AI Database on Dedicated Exadata Infrastructure
- Quick Start
- Features
- High Availability
- High Performance
- Governance
- Continuous Availability
- Compute Management
- Change Management
- Observability
- Plan and Observe Capacity
- Database Observability with Autonomous AI Database Metrics
- Database Observability with Performance Hub
- Database Observability with Dynamic Performance Views
- Manage and Observe Databases with Database Actions
- Use Database Management Service to Observe Databases
- Manage and Observe Databases with Enterprise Manager
- Use Ops Insights
- Use Work Requests to Observe Long-Running Operations
- Use Events and Notifications to Watch Resource Activity
- Observe Resource Logs with OCI Logging Service
- Security
- Features for Experienced Database Users
- Supported Oracle Database Features
- Oracle Database Features with Limited Support
- Oracle Database Features That Are Not Supported
- Character Set Selection
- Create Graphs from Data Using Oracle Graph
- Perform Spatial Analysis using Oracle Spatial
- Implement Message Queuing with Advanced Queuing
- Use JSON Documents with Autonomous AI Database
- Use MongoDB API with Oracle Autonomous AI Database on Dedicated Exadata Infrastructure
- Tasks
- Connect to an Autonomous AI Database
- Migrate
- Attach External Storage to Autonomous AI Database
- Move Data Into Autonomous AI Database
- Migrate Data into Autonomous AI Database
- Load Data into Autonomous AI Database
- Load Data from Files in the Cloud
- Load Data Using Oracle Data Pump
- Load Data Using SQL*Loader
- Migrate to Autonomous AI Database Using Oracle Database Migration Service
- Use Oracle GoldenGate to Replicate Data
- Decrypt Data While Importing from Object Storage
- Export Data from Autonomous AI Database
- Use Data Pipelines for Continuous Load and Export
- Bulk Operations for Files in the Cloud
- Manage Users
- Create and Manage Users on Autonomous AI Database
- Manage User Profiles with Autonomous AI Database
- Manage Database User Privileges with Oracle Database Vault
- Authenticate Database Users with Identity and Access Management (IAM)
- Authenticate Autonomous AI Database Users With Kerberos
- Authenticate and Authorize Microsoft Azure Active Directory Users
- Use Microsoft Active Directory with Autonomous AI Database
- Develop
- Basics of Application Development
- Development Workflow
- Build Database Applications with Autonomous AI Database
- Send Email and Notifications from Autonomous AI Database
- Make External Calls Using a Customer-Managed Wallet
- Manage and Store Files in a Cloud Code Repository with Autonomous AI Database
- Cache Messages with Singleton Pipes
- Use Persistent Messaging with Messages Stored in Cloud Object Store
- Invoke Cloud Functions and External Procedures
- Manage Data
- Clone an Autonomous Container Database
- Clone an Autonomous AI Database
- Improve Query Performance with External Table Cache
- Use Oracle Workspace Manager on Autonomous AI Database
- Link Data
- Create TLS Database Links from ADBD to an ADB
- Create Non-TLS Database Links from ADBD to an ADB
- Create DB Links from ADBD to a Publicly Accessible Oracle DB with a Wallet (mTLS)
- Create DB Links from ADBD to an Oracle DB on a Private Endpoint
- Customer-Managed Heterogeneous Connectivity to Publicly Accessible Non-Oracle DB
- Customer-Managed Heterogeneous Connectivity to Non-Oracle DB on a Pvt Endpoint
- Query External Data
- Query External Data on Oracle Compute Cloud at Customer
- Query External Data with Data Catalog
- Query External Data with AWS Glue Data Catalog
- Query Apache Iceberg Tables
- Integrate
- Analyze and Visualize Data
- Manage Autonomous AI Database from Common IDEs
- Connect Power BI and Microsoft Data Tools
- Use Select AI for Natural Language Interaction with your Database
- Use Cases
- How-to Guides
- Create and Manage Exadata Infrastructure Resources
- Create and Manage Autonomous Exadata VM Clusters
- Create and Manage Autonomous Container Databases
- Create an Autonomous Container Database
- Edit Autonomous Container Database Backup Settings
- Manage Autonomous Data Guard Configuration
- Manage Customer Contacts for an Autonomous Container Database
- Move an Autonomous Container Database to a Different Compartment
- Restart an Autonomous Container Database
- Schedule a Quarterly Maintenance Update
- Terminate an Autonomous Container Database
- Update Autonomous Container Database Maintenance Preferences
- View and Manage Scheduled Maintenance of an Autonomous Container Database
- View Details of an Autonomous Container Database
- View a List of Autonomous Container Databases
- View Network File Storage Space Utilization
- View Past Maintenance of an Autonomous Container Database
- View Resource Usage for an Autonomous Container Database
- Clone an Autonomous Container Database
- Create and Manage Autonomous AI Databases
- Create an Autonomous AI Database
- Backup Your Autonomous AI Database Manually
- Clone an Autonomous AI Database
- Create a Long-Term Backup
- Enable or Disable Auto Scaling of an Autonomous AI Database
- Enable or Disable Database In-Memory
- Enable Ops Insights for an Autonomous AI Database
- View Details of an Autonomous AI Database
- Manage Customer Contacts for an Autonomous AI Database
- Manage CPU or Storage Resources of an Autonomous AI Database
- Manage Long-Term Backups
- Manage Primary and Standby Databases in Autonomous Data Guard Setup
- Move an Autonomous AI Database to a Different Compartment
- Restore and Recover Your Autonomous AI Database
- Start, Stop, and Restart an Autonomous AI Database
- Terminate an Autonomous AI Database
- View Autonomous AI Database Metrics for a Database
- View Autonomous AI Database Metrics for Databases in a Compartment
- Connect to Autonomous AI Database
- Download Client Credentials
- Prepare for JDBC Thin Connections
- Prepare for ODBC and JDBC Oracle Call Interface (OCI) Connections
- Prepare for TLS Walletless Connections
- Connect Python Applications Using mTLS
- Connect with Node.js and other Scripting Languages
- Connect with Oracle AI Database Actions
- Connect with SQL*Plus
- Connect with Oracle SQLcl
- Connect with Oracle SQL Developer
- View Connection Strings for an Autonomous AI Database
- Connect to Oracle Autonomous AI Database Using JDBC with Eclipse
- Connect to Oracle Autonomous AI Database Using JDBC with IntelliJ
- Connect to Oracle AI Database Using JDBC Without a Build Tool
- Secure Autonomous AI Database
- Create and Manage Autonomous AI Database Software Images
- Create and Manage Elastic Pools
- View a List of Remote Backups
- Reference
- Previous Feature Announcements
- Autonomous AI Database Supplied Package Reference
- DBMS_CLOUD Package
- DBMS_CLOUD for Access Management
- DBMS_CLOUD for Objects and Files
- DBMS_CLOUD for Bulk File Management
- DBMS_CLOUD REST APIs
- DBMS_CLOUD Package Format Options
- DBMS_CLOUD Package Format Options for EXPORT_DATA
- DBMS_CLOUD Avro ORC and Parquet Support
- DBMS_CLOUD Exceptions
- Cloud Object Storage URI Formats
- SODA Collection Metadata on Autonomous AI Database
- DBMS_CLOUD_REPO Package
- DBMS_DCAT Package
- CS_SESSION Package
- DBMS_CLOUD_ADMIN Package
- DBMS_CLOUD_AI Package
- DBMS_CLOUD_AI_AGENT Package
- DBMS_CLOUD_FUNCTION Package
- DBMS_CLOUD_NOTIFICATION Package
- DBMS_CLOUD_PIPELINE Package
- DBMS_EXT_TABLE_CACHE Package
- DBMS_PIPE Package (Singleton Pipes)
- DBMS_PIPE Package (Persistent Messaging Pipes)
- DBMS_CLOUD Package
- Autonomous AI Database Views
- Autonomous AI Database Events
- Availability Service Level Agreements (SLAs)
- API Reference
- Troubleshooting Guide
- Compatibility of Applications Between Autonomous AI Database Serverless and Dedicated
- Feature Parity Between Oracle Public Cloud and Exadata Cloud@Customer
- Characteristics of Infrastructure Shapes
- CPU Overprovisioning
- Known Issues