The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions.The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
Agenda
• High-Performance Today
• Offloading and Caching for High Performance
• High Performance with Large Data Volumes
• End-to-end Performance Architecture
SMP Scale-Up
• Very mature– 20 years of experience
• Many customers with largest SMPs on the market – 64 to 256 CPUs– Sun M9000, HP Superdome, IBM Regatta
• Single System Image– Easy to manage– Easy to design applications
• Works great, but high cost– Eventually hits a wall
• Need at least two for availability
RAC Scale-Out
• Runs all Oracle database applications• Highly available and scalable• No Idle Resources• Single System Image• Thousands of production customers
HR ERP
Oracle Leads Performance Benchmarks
Benchmark World Record
Leadership
TPC-C Performance Oracle
TPC-C Price/Performance Oracle
TPC-H @ 1,000 GB Oracle
TPC-H @ 3,000 GB Non-Clustered Oracle
TPC-H @ 10,000GB Non-Clustered Oracle
TPC-H @ 30,000 GB Oracle
SAP Sales and Distribution Parallel Oracle
SAP Sales and Distribution 2-tier Oracle
SAP (ATO) Assemble-To-Order
2 and 3 Tier
Oracle
As of October 2, 2009: Source: www.tpc.org & www.sap.com/benchmark.SAP TRBK Standard Application Benchmark: Sun Fire E6900 DB Server (8 1.5 GHz US-IV+ processors, 16 cores, 16 threads, 56 GB memory): 10,012,000 Day posts/hr, 6,664,000 Night bal accs/hr, Solaris 10, Oracle 10g, SAP Account Management 3.0 (64-bit) Cert #2006018.The two-tier SAP Business Information Warehouse 3.5 Standard Application Benchmark suite performed on 2/28/06, by Fujitsu Siemens Computers in Paderborn, Germany, was certified on 3/14/06 with the following data. The scenario for 32GB main memory which corresponds to 467,200,000 records in fact table was used. Load Phase - Average throughput total step 1+2 (rows/hour): 53,255,652. Query Navigation Steps: 377,280. The software configuration for all steps of the SAP BW Benchmark: Operating system central server: SUN Solaris 10. RDBMS: Oracle 10g. Platform Release: SAP NetWeaver '04. Configuration: Central server: Fujitsu Primepower 850, 16 processors/16 Cores/16 threads, SPARC64 V, 2.16 GHz, 128 KB (D) + 128 KB(I) L1 cache, 4 MB L2 cache, and 32 GB main memory, Cert # 2006014.
Best OLTP Performance - TPC-C Record
• 12 node Sun T5440 cluster – Sparc T2+ • First World Record using Flash Technology• 8X less hardware than previous record• 16 times better response time• 4X Less Power
As of 10/10/2009: 12-Node Sun SPARC Enteprise T5440 server cluster 7,717,510 tmpC, $2.34/tpmC, available 12/14/09
150,960
QphH
Oracle
Source: TPC, As of Nov 9, 2007: Oracle Database 10g on HP Superdome Server, 150,960 QphH $46.69/QphH, avail 6/18/07.
Best Data Warehouse Performance- World Record 30 TB TPC-H
Processors 128 Core Superdome
Memory 1 Terabyte
Disk Arrays 256 MSA1000’s
Disk Storage 448 TB
Read Throughput
40 GB/Sec
10,400
35,40039,100
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
SD
Use
rs
MSFT DB2 Oracle
These results, as of October 2, 2009, have been certified by SAP AG, www.sap.com/benchmark. Please see notes page for benchmark certification details for the above results.
The results above we achieved with SAP ERP 6.0 (Non-Univode)SAP ERP 200
Best Business Application Performance- World Record SAP SD 2-tier Benchmark
First Benchmark on a 256 Core SMP – Sun M9000
2,035
4,010
15,520
22,416
30,016
37,040
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
SD
Us
ers
4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80
# of CPU Cores
Near Perfect Scaling across SMP and Cluster
These results, as of October 2, 2009: have been certified by SAP AG, www.sap.com/benchmark. Please see notes page for benchmark certification details for the above results.
Best Business Application ScalingWorld Record SAP SD Benchmark Results
2 Node RAC
3 Node RAC
4 Node RAC
5 Node Oracle RACIBM P570
Single Node SMP
182,112
320,363
609,349
0
100,000
200,000
300,000
400,000
500,000
600,000
700,000
Qu
ery
Nav
igat
ion
Ste
ps/
Ho
ur
8 8 16# of CPU Cores
These results, as of October 2, 2009: , have been certified by SAP AG, www.sap.com/benchmark. Please see notes page for benchmark certification details for the above results.
Best Business Intelligence PerformanceWorld Record SAP BI Data Mart Benchmark
2 Node RAC Fujitsu RX300
Single Node SMP
IBM DB2 Oracle Oracle
Best OLTP Price-Performance
0.540.60
0.680.73 0.74
0.840.91
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
$/t
pm
C
Oracle Oracle Oracle Oracle Oracle SQLServer
SQLServer
Windows Linux
Value Leadership Over Microsoft
As of 10/2/09::HP ProLiant ML350 G6 server, 232,002 tpmC, $0.54USD/tpmC, available May 21, 2009. Dell PowerEdge 2900 Server, 104,492 tpmC $.60USD/tpmC, available 2/20/2009. Dell PowerEdge 2900 97,083 tpmC, .68/tpmC, available 6/16/08. HP ProLiant ML350G5, 102,454 tpmC, .73/tpmC, available 12/31/07. HP ProLiant ML350G5, 100,926 tpmC, .74/tpmC, available 6/8/07. Microsoft SQL Server on HP ProLiant ML350G5, 82,774, .84/tpmC, available 03/27/07. Dell PowerEdge 2900, 69,564 tpmC, .91/tpmC, available 3/9/07. Source: Transaction Processing Performance Council (TPC), www.tpc.org
Linux
HP Intel
Example: Oracle Central e-Business DB
• Worldwide Central E-business database for Fortune 200 company
• ERP, HR, and CRM– Payroll, orders, contracts, procurement, expense reports, hiring…
• Consolidated 70 separate Applications databases– Estimated cost savings of over $1B
Data Guard
76 TB Primary 76 TB Standby
Sun E25K 36 CPU 2 Cores/CPU
Total = 288 Cores
Texas Colorado
4 NodeRAC
Oracle Beehive OLTP using Exadata
• Runs Oracle Email, Calendar, Contacts, Chat, Documents, Web Conferencing
• 16-node production system– Remote standby, testing system
• 1 PB of disk per system– 50 SAS cells, 48 SATA cells– 3 PB of total storage
• Complete Oracle Software Stack– RAC, Streams, Active Data Guard,
Secure Backup, RMAN, Flashback Database, ASM, Partitioning
– 2X space saved with compressed SecureFiles
17 Switches
Infiniband
16 Node RAC Cluster 2 quad-core Intel CPUs per Node
98 HP Exadata Storage Cells
1 PB Raw Storage1 PB Raw Storage
Each of 3 Configurations:Each of 3 Configurations:
Server SQL Results Cache
• Database caches results of queries, sub-queries, or pl/sql function calls
– Cache is shared across statements and sessions on server
– Full consistency and proper semantics• 2x speedup on hit for worst case of trivial query• 100x speedup on hit for complex queries• Statement hints specify caching - /*+ result_cache +*/• Only for very read intensive tables
In-Memory Parallel Execution
• Database release 11.2 introduces parallel query processing on memory cached data
– Queries run from tables in database buffer cache– Harnesses memory capacity of entire database
cluster for queries– Foundation for world record 1TB TPC-H
315,842
1,018,321
1,166,976
ParAccel Exasol Oracle & HPExadata
QphH: 1 TB TPC-H
Faster than specialized in-memory warehouse databases
Memory has 100x more bandwidth than Disk
Source: Transaction Processing Council, as of 9/14/2009: Oracle on HP Bladesystem c-Class 128P RAC, 1,166,976 QphH@1000GB, $5.42/QphH@1000GB, available 12/1/09. Exasol on PRIMERGY RX300 S4, 1,018,321 QphH@1000GB, $1.18/QphH@1000GB, available 08/01/08.ParAccel on SunFire X4100 315,842 QphH@1000GB, $4.57 /QphH@1000GB, available 10/29/07.
Mid-Range StorageFew Shelves
Few I/O’s
Database Smart Flash Cache
• Database Smart Flash Cache transparently extends buffer cache
– 10x Larger– Uses flash disks or cards in
database host– Cache eliminates most I/Os– Available on Solaris and OEL
• Benefits– Fewer disks needed– Less powerful array needed– Better response time– Big jobs run faster– Lower Power– High ROI
Buffer Cache
Enterprise StorageMultiple Cabinets
Buffer Cache
Database Smart
Flash Cache
Many I/O’s
Oracle is the First Flash Optimized Database
OCI Consistent Client Cache
• Caches query results on client• Primarily for caching small (10s or 100s of KB) read-intensive tables
– Queries where network overhead dominates– e.g. lookup tables
• Cache is fully consistent– Coherence messages bundled into responses to DB calls ensure
cache remain consistent – Like Cache Fusion extended out to clients
Application Server
Database
Consistent Caching
Simplest Queries can speedup:• 50x in elapsed time• 20x in CPU time
In-Memory Database Cache Grid – TimesTenScaling with Business Growth Peer-to-peer
communication between grid
nodes
Incremental scalability
High availability
In-MemoryDatabase
Cache
Application
In-MemoryDatabase
Cache
Application
In-MemoryDatabase
Cache
Application
In-MemoryDatabase
Cache
Application
On-demand loading of cached data and redistribution based
on usage
Transactional consistency
In-MemoryDatabase
Cache
Application
0
2
4
6
8
10
12
14
16
Read a Record Update Transaction
millionths of
a second
44
millionths of
a second
1414
Mic
rose
con
ds
Oracle TimesTen In-Memory Database 11g - Intel Xeon 3.0 Ghz 64-bit Oracle Enterprise Linux
Lightning Fast Response Time Runs In-Application
Active Data Guard Query Offload
• Users want to performance protect their production DBs– Active Data Guard offloads high risk reporting & backup from OLTP
• Current approaches -– Physical Copy Reporting DB (e.g. split mirror)
• Solution is simple but data is stale (day old)– Logical Replica Reporting DB (e.g. replication)
• Replication provides real-time updates but is complex
• Active Data Guard enables a unique real-time solution– Reporting using physical standby technology– Real-time, simple, and fast – also provides DR
Real-Time
Simple
ReportingDatabase
Production Database
Real-time Queries
Continuous Redo Shipment and Apply
Concurrent Query
Designated Fast-Start Failover DB
Web Scale Highly Available Reader Farm
• Reader farm implemented using Active Data Guard– Scale-out read queries– Isolate faults to each DB– High performance– Supports all types & DDL
• Automatic, zero loss failover– Readers follow automatically
• RAC can scale-out updater, or centralize storage of readers
PrimaryDatabase
Updates
ReaderDatabases
Redo Shipping
Reporting, web content browsing
Redo Shipping
Data Growth Challenges
• IT must support exponentially growing amounts of data– With improved performance– With lower cost
• Powerful and efficient compression is key
Advanced OLTP Compression
• Compress large application tables– Transaction processing, data warehousing– Transparent to application
• Compress all data types– Structured and unstructured data types
• Improve query performance– Cascade storage savings throughout data center
Compression4X
Up To
Real World Compression Results- ERP Database 10 Largest Tables
0
500
1000
1500
2000
2500
Storage Utilization
MB
3x Smaller
Table Scan Performance
Tim
e (s
econ
ds)
0
0.1
0.2
0.3
0.4
2.5x Faster
DML Performance
0
10
20
30
40
Tim
e (s
econ
ds)
Less than 3% Overhead
Exadata Hybrid Columnar CompressionTwo Modes
Warehouse Compression• 10x average storage savings• 10x reduction in Scan IO
Archive Compression• 15x average storage savings
– Up to 50x on some data
• Some access overhead • For cold or historical data
Optimized for Speed Optimized for Space
Smaller WarehouseFaster Performance
Reclaim 93% of DisksKeep Data Online
Can mix OLTP and Hybrid Columnar Compression by partition for ILM
10 10 10 1116 19 19 19 20 21
29
43
05
101520253035404550
Siz
e R
edu
ctio
n F
acto
r b
y T
able
OLTP Compression (avg=3.3)
Query Compression (avg=14.6)
Archive Compression (avg=22.6)
© 2009 Oracle Corporationl 31
Real-World Compression RatiosOracle Production E-Business Suite Tables
• Columnar compression ratios• Query = 14.6X• Archive = 22.6X• Vary by application and table
5252
Files in the Database Reinvented
• Best of Both Worlds• File Capabilities
– File System Interface– High Performance– Compression– Encryption– Deduplication– HSM
• Database Capabilities– Transactions– Query Consistency– Advanced Backup
and Recovery– Powerful Security– Flashback– Scale up SMPs– Scale out Clusters
• Files are an integral part of modern database applications– Product images, contracts, XML, ETL files, manuals, etc.
• Applications developers want to store business data files in the database to benefit from transactional consistency, and unify HA and Security
– Poor performance, limited functionality, and lack of access by existing file based tools have held them back
• Oracle Database 11g reinvents files in the database
• SecureFiles provides super fast and powerful file storage – Removes performance barrier to storing files in the database
• DBFS provides a file system interface to files in the DB– Enables existing file based tools to easily access DB files
SecureFiles Performance
File Reads(MB/second)
020406080
100
0.01 0.10 1 10 100
SecureFiles
Linux Files
LOBs
File Size (MB)
File Writes(MB/second)
0
10
20
30
40
50
60
0.01 0.10 1 10 100
SecureFiles
Linux Files
LOBs
File Size (MB)
• Performance compared to Linux FS– Tests run using both SecureFiles and ext3 in metadata
journaling only, no network
Database File System - DBFS
• Shared Linux file system– Shared storage for ETL staging, scripts, reports and other
application files
• Files stored as SecureFiles in database tables– Protected like any DB data – mirroring, DataGuard, Flashback, etc.
• 5 to 7 GB/sec file system I/O throughput on Database Machine
• Example use case:
ETL Files in DBFS
Load into database using External Tables
ETL
More File Throughput than High-End NAS Filer
Sun Oracle Database Machine
© 2009 Oracle Corporation 36
• Grid is the architecture of the future• Highest performance, lowest cost, fault tolerant, scalable on demand• Database Machine is an engineered, optimized, standardized, and
tested grid for Oracle database – with intelligent storage
Exadata Storage Server Grid
• 14 storage servers
• 100 TB or 336 TB Disk Storage
• 5TB flash storage!
• Offload queries into storage
Oracle Database Server Grid
• 8 compute servers
• 64 Intel Cores
• 576 GB DRAM
InfiniBand Network
• 40 Gb/sec unified server and storage network
• Fault Tolerant
Scale Performance and Capacity
• Scalable– Scales to 8 rack database machine
by just adding wires• More with external
InfiniBand switches– Scales to hundreds of storage servers
• Multi-petabyte databases
• Redundant and Fault Tolerant– Failure of any component
is tolerated– Data is mirrored across
storage servers
© 2009 Oracle Corporation 38
Exadata Database Offload to Storage
• Exadata storage servers implement data intensive processing in storage
– Row filtering based on “where” predicate– Column filtering– Join filtering– Incremental backup filtering– Storage Indexing– Scans on encrypted data– Data Mining model scoring
• 10x reduction in data sent to DB servers is common
• No application changes needed– Processing is automatic and transparent– Even if cell or disk fails during a query
New
Exadata Smart Flash Cache
• Smart Flash Cache holds hot data– Not just simple LRU
• Knows when to avoid caching to avoid flushing cache
– Allows optimization by application table
• Performance of Flash combined with Cost of Disk
Oracle is the First Flash Optimized Database
Flash Cache for Scans
7.510
21
50
0
5
10
15
20
25
30
35
40
45
50
GB
/Se
co
nd
(u
nc
om
pre
ss
ed
)
TERADATA2550
TERADATA2550
NETEZZATwinFin 12
NETEZZATwinFin 12
SUN ORACLEDatabase MachineSUN ORACLEDatabase Machine
DiskDiskDiskDisk
DiskDisk
FlashFlash2x – 5x better
throughput*
* Note: This compares uncompressed data. Oracle’s advantage is much greater than this with compressed data.
* Note: This compares uncompressed data. Oracle’s advantage is much greater than this with compressed data.
• Flash storage more than doubles scan throughput– 50 GB/sec
• Combined with Hybrid Columnar Compression– Up to 50 TB of data fits
in flash– Queries on compressed
data run up to 500 GB/sec
Flash Cache for Random I/O
• Database Machine achieves:• 20x more random I/Os
– Over 1 million per second
• 10x better I/O response time
– Sub-millisecond
• Greatly Reduced Cost– 10x fewer disks needed for I/O– Lower Power
5X More I/Os than 1000 Disk Enterprise
Storage Array
Sun Oracle Database MachineExtreme Performance for all Data Management
• Best for Data Warehousing– Parallel query on memory or Flash at more than 50 GB/sec– 10x compressed tables with storage offload
• Best for OLTP– Only database that scales real-world applications on grid– Smart flash cache provides 1 million I/Os per second– Up to 50x compression for archival data– Secure, fault tolerant
• Best for Database Consolidation– Only database machine that runs and scales all workloads– Predictable response times in multi-database, multi-
application, multi-user environments
Oracle is Ready for the Future
• High-Performance Today
• Offloading and Caching for High Performance
• High Performance with Large Data Volumes
• End-to-end Performance Architecture
Exadata SessionsDate Time Room Session Title
Mon 10/12
5:30 PM
Moscone South 307
S311436 - Implement Best Practices for Extreme Performance with Oracle Data Warehouses.
Tue 10/13
11:30 AM
Moscone South 307
S311385 - Extreme Backup and Recovery on the Oracle Database Machine.
Tue 10/13
1:00 PM
Moscone South 307
S311437 - Achieve Extreme Performance with Oracle Exadata and Oracle Database Machine.
Tue 10/13
1:00 PM
Moscone SouthRoom 102
S311358 - Oracle's Hybrid Columnar Compression: The Next-Generation Compression Technology
Tue 10/13
2:30 PM
Moscone South 102
S311386 - Customer Panel 1: Exadata Storage and Oracle Database Machine Deployments.
Tue 10/13
4:00 PM
Moscone South 102
S311387 - Top 10 Lessons Learned Implementing Oracle and Oracle Database Machine.
Tue 10/13
5:30 PM
Moscone South 102
S307963 - Oracle Database Machine and Exadata Best Practices and Customer Considerations.
Tue 10/13
5:30 PM
Moscone SouthRoom 104
S311239 - The Terabyte Hour with the Real-World Performance Group
Tue 10/13
5:30 PM
Moscone South 252
S310048 - Oracle Beehive and Oracle Exadata: The Perfect Match.
Wed 10/14
4:00 PM
Moscone South 102
S311387 - Top 10 Lessons Learned Implementing Oracle and Oracle Database Machine.
Wed 10/14
5:00 PM
Moscone South 104
S311383 - Next-Generation Oracle Exadata and Oracle Database Machine: The Future Is Now.
Thu 10/15
12:00 PM
Moscone South 307
S311511 - Technical Deep Dive: Next-Generation Oracle Exadata Storage Server and Oracle Database Machine