🔄 Module 25: Autonomous Database & Cloud Migration

Master Autonomous Operations and Zero-Downtime Migration Strategies

🤖 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