11g Advanced Compression 2

7/30/2019 11g Advanced Compression 2

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Oracle Advanced Compression: Deep Dive into OLTP

Table Compression

Gregg Christman -- Senior Product Manager

Vineet Marwah – Principal Member of Technical Staff



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Program Agenda

•

Data Growth Challenges• OLTP Table Compression

• Customer Experience

•Thomson Reuters

• Questions and Answers



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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 Datawith Limited Technology Budgets

– Need to optimize storage consumption

– Also maintain acceptable application performance

• Intelligent and Efficient Compression Technology canHelp Address These Challenges



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Oracle Advanced Compression Option

• Reduces resource requirements and costs

– Storage System

– Network Bandwidth

– Memory Usage

Relational DataCompression

Unstructured DataCompression

Backup DataCompression

Network DataCompression

• OLTP Table

Compression

• SecureFiles

Dedupl icat ion

• SecureFiles

Compression

• Data Pump Data

Compression

• RMAN Fast B ackup

Compression

• Data Guard Redo

Transpor t

Compress ion



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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 largeamounts 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



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



OLTP Table Compression Process

InitiallyUncompressed

Block

Compressed

Block

PartiallyCompressed

Block

Compressed

Block

Empty

Block

Legend

Header Data

Free Space

Uncompressed Data

Compressed Data



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 therebycompromising compression benefits




SmithJohn3

DoeJane4

DoeJane2

DoeJohn1

LAST_NAMEFIRST_NAMEID

Employee TableInitially Uncompressed

Block

INSERT INTO EMPLOYEE

VALUES (5, ‘Jack’, ‘Smith’);

COMMIT;

1•John•Doe 2•Jane•

Doe 3•John•Smith 4•Jane • Doe

Free Space

Header




Block

John=|Doe=|Jane=|Smith=

Header

DoeJane4

SmithJohn3

SmithJack5

DoeJane2

DoeJohn1

LAST_NAMEFIRST_NAMEID

Employee Table

1•John•Doe 2•Jane•

Doe 3•John•Smith 4•Jane • Doe

Free Space

1•• 2•• 3•• 4 •

•

5•Jack•

Free Space

Compressed Block

Local

Symbol Table



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):

CREATE TABLE emp (

emp_id NUMBER

, first_name VARCHAR2(128), last_name VARCHAR2(128)

) COMPRESS [BASIC];



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)

* http://www.oracle.com/technology/products/database/compression/compression-advisor.html



Monitoring Table Compression

• View: DBA_TABLES, columns:

– COMPRESSION ( ENABLED / DISABLED ) – COMPRESS_FOR ( OLTP / BASIC)




Table Compression Results



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© 2009 Oracle Corporation - Confidential 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



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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 email 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 emails in memory and reducing I/O latencies



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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



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Metalink

• See Metalink Note #1061366.1

– Lists recommended Advanced Compression patches

applicable to all customers



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Customer Experience



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Summary

•Comprehensive data compression capabilities for alltypes 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



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Oracle Products Available Online

Oracle Store

Buy Oracle license and support

online today atoracle.com/store



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