Storage Optimization with Oracle Database 11g · Reduce Storage Costs by Factor of 10x Data Growth...

Storage Optimization

with Oracle Database 11g

Reduce Storage Costs by Factor of 10xData Growth Continues to Outpace Budget Growth

Source: Winter TopTen Survey, Winter Corporation, Waltham MA, 2008.

1998 2000 2002 2004 2006 2008 2010

Rate of Database Growth

Storage Goals

MitigateRisk

Reduce Cost

Efficient Management

Critical Storage Challenges

Storage

Optimize Performance

Manage Better

Reduce Costs

Data Loss Protection

Storage Goals

MitigateRisk

Reduce Cost

Storage

Manage Better

Reduce Costs

• Key metric is I/O per second (IOPs)

• Assume for sizing purposes:

– 5 IOPs per transaction

– 80-110 achievable IOPs per SAS disk

– 50 per achievable IOPs SATA disk

# Disks required = # Transactions per sec * 5

Achievable IOPs

Warehouse

• Key metric is I/O per second (IOPs)

– 5 IOPs per transaction

– 80-110 achievable IOPs per SAS disk

– 50 per achievable IOPs SATA disk

# Disks required = # Transactions per sec * 5

Achievable IOPs

• Key metric is I/O bandwidth (MB/s)

– 1 core requires ~ 200 MB/s to be kept busy

– Drives today do around 20-30 MB/s

# Disks required = # Cores * 200/20

Warehouse

• Double disks for mirroring

• Add extra for back-up, test, etc.

• Size HBA and switches to keep throughput balanced

• Plan for linear performance scalability as data

volumes increase

Today, database performance is limited by storage

Optimize PerformanceDon’t Forget the Rest

Sun Oracle Database MachinePerfectly Balanced Environment

• Oracle Database Server Grid

– 8 Database Servers

– 400 GB DRAM

• Exadata Storage Server Grid

– 14 Storage Servers

– 5TB Smart Flash Cache

– 336 TB Disk Storage

• Unified Server/Storage Network

– 40 Gb/sec Infiniband Links

– 880 Gb/sec Aggregate Throughput

• Completely Fault Tolerant

• Extreme Performance out-of-the-box

Pre-built Database CloudOracle Exadata

• Best for Database Cloud

– Only database machine that runs and scales all workloads

– Lower total cost of ownership

– Faster Deployment

– Lower Risk

– Higher Quality Implementation

– Supports all Database Cloud capabilities

Exadata Storage ServersBreaks Data Bandwidth and Random I/O Bottleneck

• Sun Fire™ X4275 Server

• 2 Quad-Core Intel®

Xeon® E5540 CPUs

• 24GB RAM

• Dual-port 40Gb/s InfiniBand card

• Disk options:– 12 x 600 GB SAS disks (7.2 TB total)

– 12 x 2TB SATA disks (24 TB total)

• 4 x 96 GB Sun Flash PCIe Cards– 384GB total

Hardware by

Software by

Exadata Database Machine Breaks Data Bandwidth and Random I/O Bottleneck

• Removes Random I/O bottlenecks– Up to 75,000 IOPS with Flash storage

• Queries run in storage

– Offloading from database server CPUs

– Return query results sets

– Up to 1.5 GB/sec data bandwidth per cell

• Completely scalable infrastructure

– Storage capacity

– Processing power

– Data bandwidth

• Transparently extends buffer cache with flash storage

• Increases caching and eliminates most I/Os

• Faster response times using less power

• Available on Solaris and Unbreakable Linux servers

Database and Storage Smart Flash Cache

Integrated Solid State Storage Devices

20102003 - 2008 2009

Q: What was the

total sales revenue

for Q3 in 2009?

Only the relevant

partitions are

accessed

Partition PruningImproves Performance

with compression

10 TB of user data

Requires 10 TB of IO

100 GB

with partition pruning

with Storage Indexes

5 GB Smart Scan on

Memory or Flash

Subsecond

On Database

Machine

Data is 10x Smaller, Scans are 2000x faster

Less Storage = Better PerformanceUsing Partitioning, Compression Benefits Multiply

“TUI chose the Sun Oracle Database Machine because it was the only platform that would meet both our needs for all of our database requirements, including OLTP, as well as be the best platform for a high performance data warehouse.”

Eli Lysen

Senior Manager, ICT

Storage Goals

MitigateRisk

Reduce Cost

Storage

Manage Better

Reduce Costs

Traditional Computing Environments

• Silos of dedicated

hardware and software

• Single application per silo

• Inefficient and expensive

to size for peak load

• Inflexible and

unresponsive to changing

business needs

• Expensive to manage

Cloud Computing Environments

• Resource pooling

• Rapid provisioning

• Elasticity

• Dynamic QoS

• Self-service

• Pay-for-use pricing

• Virtualizes and shares storage resources

• Online addition and migration of storage

• Advanced data striping for maximum I/O performance

Automatic Storage ManagementLowers the Cost of Storage Management

• General purpose clustered or local file system

• Optimized disk layout, online rebalance, mirroring

• Volume management, read-only snapshots

ASM Cluster File System

Database Files Oracle BinariesOS Files

Manage Data Growth Partition for Better Management

20102003 - 2008 2009

• Full partition autonomy

– Partitions are visible and usable for database administration

– Optimized local indexing technique

• Full partition-aware maintenance operations

– Online maintenance capabilities without user impact or interference

ArchivalBulk of management

operations, queries etc.Data loading

“Using partitioning with Oracle Database gives us a lot of

advantages…we get the performance and management

characteristics of a much smaller table within a larger data set."

Sean WileyCTO & Director EDS Applications ServicesEDS

Storage Goals

MitigateRisk

Reduce Cost

Storage

Manage Better

Reduce Costs

Information Lifecycle ManagementManaging Data During its Lifetime to Reduce Storage Cost

Storage Networking Industry Association (SNIA) Data Management Forum

$ $$Total Cost of Ownership (TCO)

HighValue

MediumValue

LowValue

Information Lifecycle ManagementManaging Data during its Lifetime to Reduce Storage Cost

Storage Networking Industry Association (SNIA) Data Management Forum

$ $$Total Cost of Ownership (TCO)

HighValue

MediumValue

LowValue

Save on power, heating, cooling by moving data from High End to

Lower Cost storage devices

Manage Data Growth Partition to Reduce Cost

95% Less Active 5% Active

20102003 - 2008

• Distribute tables across multiple storage tiers

• Scale-out storage at 2-3x less cost per terabyte

• No changes to existing applications

Traditional Data Lifecycle

ActiveLess Active

HistoricalArchiveData Lifecycle

ActiveHistorical ActiveArchive

High Performance

Storage Tier

Offline

Storage Optimization with Oracle Database 11g · Reduce Storage Costs by Factor of 10x Data Growth...

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