1. 1

2. Oracle Advanced Compression: Deep Dive into OLTP Table Compression
Gregg Christman -- Senior Product Manager
Vineet Marwah – Principal Member of Technical Staff

3. <Insert Picture Here>
Program Agenda
<Insert Picture Here>
Data Growth Challenges
OLTP Table Compression
Customer Experience
Thomson Reuters
Questions and Answers 3

4. Data Growth Challenges
Explosion in Data Volumes
Government Regulations (Sarbanes-Oxley, etc)
User Generated Content (Web 2.0)
Application Consolidation
IT Managers Must Support Larger Volumes of Data with Limited Technology Budgets
Need to optimize storage consumption
Also maintain acceptable application performance
Intelligent and Efficient Compression Technology can Help Address These Challenges

5. Oracle Advanced Compression Option
OLTP Table Compression
SecureFiles Deduplication
SecureFiles Compression
Data Pump Data Compression
RMAN Fast Backup Compression
Data Guard Redo Transport Compression
Relational Data Compression
Unstructured Data Compression
Backup Data Compression
Network Data Compression
Reduces resource requirements and costs
Storage System
Network Bandwidth
Memory Usage

6. Introduced in Oracle Database 9i Release 2
Table Compression
Introduced in Oracle Database 9i Release 2
Compression during bulk load operations (Direct Load, CTAS)
Data modified using conventional DML not compressed
Optimized compression algorithm for relational data
Improved performance for queries accessing large amounts of data
Fewer I/Os
Buffer Cache efficiency
Data is compressed at the database block level
Compression enabled at either the table or partition level
Completely transparent to applications

7. OLTP Table Compression
Oracle Database 11g extends table compression for OLTP data
Support for conventional DML Operations (INSERT, UPDATE)
New algorithm significantly reduces write overhead
Batched compression minimizes impact for OLTP transactions
No impact on reads
Reads may actually see improved performance due to fewer I/Os and enhanced memory efficiency

8. OLTP Table Compression Process
Initially Uncompressed Block
Compressed Block
Partially Compressed Block
Empty
Block
Legend
Header Data
Free Space
Uncompressed Data
Compressed Data

9. Block-Level Batch Compression
Patent pending algorithm minimizes performance overhead and maximizes compression
Individual INSERTs and UPDATEs do not cause recompression
Compression cost is amortized over several DML operations
Block-level (Local) compression keeps up with frequent data changes in OLTP environments
Competitors use static, fixed size dictionary table thereby compromising compression benefits

10. OLTP Table Compression
Initially Uncompressed Block
Employee Table
Smith
John 3
Doe
Jane 4 2 1
LAST_NAME
FIRST_NAME ID
Header
1•John•Doe 2•Jane• Doe 3•John•Smith 4• Jane • Doe
Free Space
INSERT INTO EMPLOYEE
VALUES (5, ‘Jack’, ‘Smith’);
COMMIT;

11. OLTP Table Compression
Employee Table
Block
1•• 2•• 3•• 4 •  •  5•Jack•
Free Space
Compressed Block
Doe
Jane 4
Smith
John 3
Jack 5 2 1
LAST_NAME
FIRST_NAME ID
Header
John=|Doe=|Jane=|Smith=
1•John•Doe 2•Jane• Doe 3•John•Smith 4• Jane • Doe
Free Space
Local
Symbol Table

12. Table Compression Syntax
OLTP Table Compression Syntax:
CREATE TABLE emp (
emp_id NUMBER
, first_name VARCHAR2(128)
, last_name VARCHAR2(128)
) COMPRESS FOR OLTP;
Direct Load Compression Syntax (default):
) COMPRESS [BASIC];

13. Table Compression Advisor Estimate Potential Storage Savings
Available in 11g Release 2
Available on OTN *
Supports Oracle Database 9i Release 2 through 11g Release 1
Shows projected compression ratio for uncompressed tables
Reports actual compression ratio for compressed tables (11g Only) *

14. Monitoring Table Compression
View: DBA_TABLES, columns:
COMPRESSION ( ENABLED / DISABLED )
COMPRESS_FOR ( OLTP / BASIC)

15. <Insert Picture Here>
Table Compression Results

16. Oracle IT, Oracle’s Internal E-Business Application DB
Oracle’s Internal E-Business Suite Production System deployed ACO in 2009
4-node Sun E25K RAC, 11gR1
Average overall storage savings 3x
Table compression 4x
Index compression 2x
LOB compression 2.3x
231TB of realized storage savings primary, standby and test systems
Additional benefits were also accrued in Dev clones and Backups
Payroll, Order-2-Cash, AP/AR batch flows, Self-Service flows run without regression, Queries involving full table scans show speedup
Hi Amit, Attaching a doc containing data relating to GSI Phase1 & IMG compression. For GSI: At present GSI has the following number of environments: - Eight test copies  + 1 test standby - One production + 1 standby Total 9 +2 =11 copies (including production & standby) Phase1 space savings TB Phase2 space savings   TB Total for GSI              TB  (say 6.5 TB) Space saved for 11 environments (including standby)  = 6.5 * 11 *3 (including backups, mirroring)                                                                                   = TB ~ 215 TB For Imaging Database: (primarily LOBs) Imaging has the following environments: Full sized test copy :1 Production + Standby:  2 Total full sized copies = 3 Space saved per environment: TB (Say 1.8 TB) Total space saved  (3 env) =  1.8 *3 * 3=  16.2 TB ~ 16 TB. (including backups, mirroring) Hope this helps. Thanks, Raji
© 2009 Oracle Corporation - Confidential 16 16

17. Oracle IT, Oracle’s Internal Beehive Email DB
Production system on 11gR1 & Exadata for Primary and Standby
Using Exadata Storage Servers for storage
Average Compression Ratio: 2x
Storage savings add up with standby, mirroring, flash recovery area
Compression went production in 2009
Consolidate 90K employees on this server, more being migrated
Savings As of April 2010
Beehive Saved 365TB of storage using Advanced Compression
Incrementally saves 2.6TB/day based on db size growth
Savings higher with Sun user migration
Compression also helped improve performance by caching only compressed s in memory and reducing I/O latencies
© 2009 Oracle Corporation - Confidential 17 17

18. SAP R/3, BW, Leading Global Company
Compression on SAP databases at Leading global company
Tests done using Oracle database 11gR2
SAP R/3 DB
4.67TB Uncompressed
1.93 TB Compressed
2.4x savings factor
SAP BW DB
1.38 TB Uncompressed
.53 TB Compressed
2.6x savings factor
Leverage 11g Compression for Tables, Indexes and LOB data
© 2009 Oracle Corporation - Confidential 18 18

19. Metalink See Metalink Note #1061366.1
Lists recommended Advanced Compression patches applicable to all customers

20. Customer Experience

21. Comprehensive data compression capabilities for all types of data
Summary
Comprehensive data compression capabilities for all types of data
Structured, Unstructured, Backup, Network
Reduces storage consumption by 2 to 4 times
Improves read performance
Enhances memory, buffer cache utilization
Complete application transparency
Benefits diverse application workloads

22. Oracle Products Available Online
Oracle Store
Buy Oracle license and support online today at oracle.com/store 22 22

23. 23