🤖 Autonomous Database Overview
Auto Patching
100%
Downtime
~0s
Backup
Auto
Recovery
35 days
Autonomous Database Services
| Service | Use Case | Workload Type |
|---|---|---|
| Autonomous Transaction Processing (ATP) | OLTP applications, real-time processing | Mixed workload (TP + Analytics) |
| Autonomous Data Warehouse (ADW) | Analytics, reporting, data science | Analytical (BI, Data Mining) |
| Autonomous JSON Database | Document storage, flexible schema | NoSQL (JSON, key-value) |
Key Features
- Self-Driving: Auto-indexing, auto-tuning, auto-maintenance
- Self-Securing: Encryption, patching, compliance
- Self-Repairing: High availability, fault tolerance
- Always Available: 99.995% uptime SLA
⚡ Autonomous Operations & Features
Auto-Scaling
CPU Auto-Scaling:
-- Monitor CPU consumption
-- Automatically scale up/down
-- No manual intervention needed
-- Scaling within subscription limits
Example: 4 OCPUs → Auto-scales to 16 OCPUs during peak
During off-peak → Scales back to 4 OCPUs
Auto-Indexing
- Machine learning analyzes query patterns
- Automatically creates beneficial indexes
- Removes unused indexes
- Maintenance happens during low-traffic periods
Auto-Tuning
| Component | Action | Benefit |
|---|---|---|
| SQL Statements | Automatic SQL tuning | 5-20% performance improvement |
| Memory | PGA/SGA auto-sizing | Optimal resource utilization |
| Execution Plans | Plan management | Consistent query performance |
📋 Cloud Migration Planning
Migration Phases
Phase 1: Assessment & Planning
├── Inventory existing databases
├── Identify dependencies
├── Performance baseline
└── Estimate effort & timeline
Phase 2: Design & Preparation
├── Target architecture design
├── Network connectivity planning
├── Security & compliance review
└── Capacity planning
Phase 3: Migration & Testing
├── Create target Autonomous DB
├── Data migration execution
├── Validation & reconciliation
└── Performance testing
Phase 4: Cutover & Optimization
├── Final data sync
├── Application cutover
├── Performance tuning
└── Production support
Pre-Migration Checklist
✓ Assessment Items
Database size and growth rate
Application dependencies
Custom code and scripts
Scheduled jobs and workflows
Third-party integrations
Security requirements
📦 Oracle Data Pump
Data Pump Export/Import
| Method | Speed | Use Case | Downtime |
|---|---|---|---|
| Export/Import | Slow (1-50 GB/hr) | Small databases, specific objects | High (hours) |
| Data Pump Parallel | Fast (50-500 GB/hr) | Medium databases, schema migration | Medium |
| Data Pump + Network | Very Fast (100+ GB/hr) | Cloud migrations, large databases | Minimal |
Data Pump Command Examples
-- Full database export
expdp system/password@orcl DUMPFILE=full.dmp LOGFILE=full.log FULL=Y PARALLEL=4
-- Schema export
expdp system/password@orcl DUMPFILE=schema.dmp SCHEMAS=hr,oe PARALLEL=4
-- Import data
impdp system/password@orcl DUMPFILE=full.dmp LOGFILE=import.log PARALLEL=4
-- Network export (to cloud)
expdp system/password@orcl DUMPFILE=cloud.dmp NETWORK_LINK=to_adb PARALLEL=8
✨ Oracle GoldenGate Replication
GoldenGate Architecture
Source Database → Extract Process → Trail File → Pump Process → Network
↓
Replicat Process ← Trail File ← Target Database
Components:
- Extract: Captures source database transactions
- Pump: Transmits data over network
- Replicat: Applies transactions to target
- Trail: Binary transaction log
GoldenGate GGSCI Commands
-- Create Extract (source capture)
ADD EXTRACT ex01, TRANLOG, BEGIN NOW
ADD EXTTRAIL ./dirdat/et EXTRACT ex01
-- Create Replicat (target apply)
ADD REPLICAT rp01 EXTTRAIL ./dirdat/et
-- Start processes
START EXTRACT ex01
START REPLICAT rp01
-- Monitor status
INFO ALL
STATUS EXTRACT ex01
💡 Tip: GoldenGate provides near-zero downtime migration with CDC (Change Data
Capture)
✅ Data Validation & Performance Tuning
Post-Migration Validation
| Check Type | Query/Command | Expected Result |
|---|---|---|
| Row Count | SELECT COUNT(*) FROM table_name | Match source and target counts |
| Data Checksum | SELECT DBMS_CRYPTO.HASH(...) | Source = Target hash |
| Constraints | SELECT * FROM user_constraints | All constraints present and valid |
Performance Optimization
-- Gather statistics (Auto in Autonomous DB)
EXEC DBMS_STATS.GATHER_SCHEMA_STATS('SCHEMA_NAME');
-- Check execution plans
EXPLAIN PLAN FOR SELECT * FROM table_name WHERE condition;
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY);
-- Monitor query performance
SELECT * FROM gv$sql_workarea WHERE module = 'YOUR_APP';
-- Identify slow queries
SELECT * FROM gv$sql WHERE executions > 100 AND elapsed_time > 1000000000;
🎯 Migration Best Practices
Zero-Downtime Migration Strategy
- Use GoldenGate for real-time replication
- Perform comprehensive testing on target
- Execute final delta sync with minimal downtime
- Have rollback plan ready
- Parallel run for verification period
Post-Migration Tasks
- Monitor performance metrics closely
- Validate all application functionality
- Update connection strings in applications
- Configure backups and recovery
- Document new environment setup
- Train operations team on Autonomous DB
⚠️ Warning: Always test migration process in non-production environment first!
✓ Migration Success Criteria
All data migrated and validated
Applications running without errors
Performance meets requirements
Backups and recovery verified
Monitoring and alerts configured
Team training completed
Documentation updated
No critical issues in logs