Oracle Data Pump enhancement

🚀 Take Control of Oracle Data Pump Imports with New Enhancements! ORACLE AI Database

Oracle Data Pump just got even more powerful, making migrations to Oracle Autonomous Database (ADB) or on-premises smoother, faster, and more flexible.
Here are some key highlights

Smarter Control and Compression
• Specify index compression on import using
TRANSFORM=INDEX_COMPRESSION_CLAUSE:COMPRESS ADVANCED LOW
• Fine-tune space usage and performance during migrations.

Flexible Object Inclusion
• Include/exclude objects in the same export or import job: expdp hr DIRECTORY=dpump_dir1 DUMPFILE=exp%u.dmp SCHEMAS=hr,oe INCLUDE=table EXCLUDE=statistics
• The INCLUDE parameter runs first, then EXCLUDE removes specific objects.

Simplified Cloud Imports
Import from Oracle Object Storage directly to ADW / ATP (Shared or Dedicated) with parallelism, transforms, and object-level control.

Performance & Parallelism
• Use PARALLEL=n for inter-table and intra-table parallelism
• Parallelize TTS metadata operations, resume jobs, and import JSON natively
• Optimize with accurate DBMS_STATS gathering before and after operations

Compression, Security, and Efficiency
• Use COMPRESSION=ALL and COMPRESSION_ALGORITHM=MEDIUM for balanced performance
• Verify data integrity with Data Pump checksum (21c and above)
• Import over database links — no dumpfiles required!

Best Practices for Autonomous Database
• Use SCHEMA or TABLE mode exports for ADB
• Set proper STREAMS_POOL_SIZE and MAX_DATAPUMP_JOBS_PER_PDB
• Prefer SecureFile LOBs for parallel I/O and compression
• Use AL32UTF8 character set for maximum compatibility

Bottom line:
Oracle Data Pump continues to evolve with every release, offering more control, scalability, and efficiency for your migrations. Whether you’re moving to Oracle Cloud or optimizing on-premises, following these best practices will make your Data Pump jobs smoother and faster.