Presentation - Exadata V2 - Sun Oracle Database Machine

8/12/2019 Presentation - Exadata V2 - Sun Oracle Database Machine

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The following is intended to outline our general

product direction. It is intended for informationpurposes only, and may not be incorporated into anycontract. It is not a commitment to deliver anymaterial, code, or functionality, and should not be

relied upon in making purchasing decisions.The development, release, and timing of anyfeatures or functionality described for Oraclesproducts remains at the sole discretion of Oracle.


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Exadata V2 - Sun Oracle Database Machine


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Database Machine Success

Exadata V1 is succeeding in all geographies and industries againstevery competitor


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Every query was faster on Exadata compared to our currentsystems. The smallest performance improvement was 10x and

the biggest one was an incredible 72x .Simeon Dimitrov, Enterprise Resources Manager

Call Data Record queries that used to run for over 30 minutes

now complete in under 1 minute . That's extremeperformance .

Grant Salmon , CEO, LGR Telecommunications

A query that used to take 24 hours now runs in less than 30minutes . The Oracle Database Machine beats competingsolutions on bandwidth, load rate, disk capacity, and

transparency .Christian Maar, CIO

Exadata V1 Data Warehousing Customers


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Exadata Database Machine

Version 1 Worlds Fastest Machine for Data Warehousing

Extreme Performance for Sequential I/O 10x Faster than other Oracle D/W Systems

Version 2 Worlds Fastest Machine for OLTP

Extreme Performance for Random I/O 5x Version 1 Data Warehousing Performance Dramatic new Exadata Software Capabilities


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The Architecture of the Future

Data Warehousingand OLTP

Massively Parallel Grid


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Sun Oracle Database Machine Hardware

Complete, Pre-configured, Tested forExtreme Performance

Database Servers Exadata Storage Servers InfiniBand Switches Ethernet Switch Pre-cabled Keyboard, Video, Mouse (KVM) hardware Power Distribution Units (PDUs)

Ready to Deploy

Plug in power Connect to Network Ready to Run Database


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9

Exadata is Smart Storage

Database Server Compute and memory intensive data

processing executes in database servers

Fully-parallelized joins and aggregations

Bandwidth IntensiveSearches

Compute IntensiveProcessing

Database Servers and Exadata storage work in conjunction to execute SQL Exadata cell is smart storage, not a complete database node

Exadata Storage Server IO-bandwidth intensive searches executes in

storage servers Exadata Smart Scans and Exadata

Storage Indexes filter out data that is not

relevant to a query


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2009 Oracle Corporation Proprietary and Confidential 10

Sun Exadata Storage Server Hardware

24 GB DRAM

12 x 3.5 Disk Drives

2 Quad-Core IntelXeon Processors

Pre-installed Software: Oracle Exadata Storage Server Software

Oracle Enterprise Linux

Drivers

Disk ControllerHBA with 512Mbattery backedcache

InfiniBand QDR(40Gb/s) dualport card

ILOM

Dual-redundant, hot-swappable power supplies

4 x 96GB SunFlash PCIeCards


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Sun Oracle Database Machine

Full Rack Half Rack Quarter Rack Basic System


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Scale Performance and Capacity

Scalable Scales to 8 rack database machine

by just adding wires

More with externalInfiniBand switches

Scales to hundreds of storage servers

Multi-petabyte databases

Redundant and FaultTolerant

Failure of any componentis tolerated Data is mirrored across

storage servers


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2009 Oracle Corporation Proprietary and Confidential -13-13

Sun Oracle Database MachineHardware Improvements

Same architecture as previous Database Machine Same number and type of Servers, CPUs, Disks

Plus Flash Storage!

NewLatest TechnologiesFaster

Better

1.8x Faster CPUs

1.33x More SAS Disk Capacity2x More SATA Disk Capacity

1.5x Faster Disk Throughput

2x Faster Networking

2.25x More Memory

2x Faster Memory

2x More Ethernet Connectivity

Xeon 5500 Nehalem

600 GB SAS Disks2 TB SATA Disks

6 Gb SAS Links

40 Gb InfiniBand

72 GB per DB Node

DDR3 DRAM

4 Ethernet links per DB Node

New


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2009 Oracle Corporation Proprietary and Confidential -14-

Sun Oracle Database Machine Full RackPre-Configured for Extreme Performance

8 Sun Fire X4170 Oracle Database servers 14 Exadata Storage Servers (All SAS or all

SATA) 3 Sun Datacenter InfiniBand Switch 36

36-port Managed QDR (40Gb/s) switch 1 Admin Cisco Ethernet switch

Keyboard, Video, Mouse (KVM) hardware Redundant Power Distributions Units (PDUs) Single Point of Support from Oracle

3 year, 24 x 7, 4 Hr On-site response

Add more racks for additional scalability


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Sun Oracle Database Machine:System Architecture

High Bandwidth High Bandwidth High Bandwidth High Bandwidth Interconnect Interconnect Interconnect Interconnect

Massively ParallelMassively ParallelMassively ParallelMassively ParallelStorage Storage Storage Storage

ClusteredClusteredClusteredClusteredDatabase Servers Database Servers Database Servers Database Servers

Compute Intensive Processing

Sun Oracle Database Server Sun Oracle Database Server Sun Oracle Database Server Sun Oracle Database Server





Data Intensive

Processing

Sun Oracle Exadata Storage Server Sun Oracle Exadata Storage Server Sun Oracle Exadata Storage Server Sun Oracle Exadata Storage Server

Data IntensiveProcessing




Data Intensive

Processing



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Sun Oracle Database Machine:5.3 TB SunFire Flash Cache

High Bandwidth High Bandwidth High Bandwidth High Bandwidth Interconnect Interconnect Interconnect Interconnect

Massively ParallelMassively ParallelMassively ParallelMassively ParallelStorage Storage Storage Storage

ClusteredClusteredClusteredClusteredDatabase Servers Database Servers Database Servers Database Servers









S u n

F i r e



S u n

F i r e



S u n

F i r e



S u n

F i r e


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2 Sun Fire X4170 Oracle Database servers 3 Exadata Storage Servers (All SAS or all

SATA) 2 Sun Datacenter InfiniBand Switch 36

36-port Managed QDR (40Gb/s)InfiniBand switch

1 Admin Cisco Ethernet switch Keyboard, Video, Mouse (KVM) hardware Redundant PDUs Single Point of Support from Oracle

3 year, 24 x 7, 4 Hr On-site response

Can Upgrade to an Half Rack

Sun Oracle Database Machine Quarter RackPre-Configured for Extreme Performance


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Exadata Product Capacity

28 TB14 TB6 TB2 TBSAS

SATA

SATA

SAS 100 TB50 TB21 TB7.2 TB

100 TB50 TB21 TB7 TB

User Data 2(assuming no

compression)

5.3 TB2.6 TB1.1 TB384 GBRaw Flash 1336 TB168 TB72 TB24 TB

Raw Disk 1

Full RackHalf RackQuarter RackSingle Server

1 Raw capacity calculated using 1 GB = 1000 x 1000 x 1000 bytes and 1 TB = 1000 x 1000 x 1000 x 1000 bytes.

2 - User Data: Actual space for end-user data, computed after single mirroring (ASM normal redundancy) and afterallowing space for database structures such as temp, logs, undo, and indexes. Actual user data capacity varies byapplication. User Data capacity calculated using 1 TB = 1024 * 1024 * 1024 * 1024 bytes.


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Hardware Warranty & Support

Included with ALL Exadata Products 3 year parts and labor are covered On-site support and repair is provided 24x7 coverage with a 4 hour response (Priority 1) Disk Retention Service (DMR): Failed drive, under warranty, can be

replaced without returning the drive to Sun/Oracle

Hardware support beyond the first 3 years is available, viaseparate contract, from Sun

Additional higher levels of support can be purchased from

Sun


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Drastically Simplified Deployments

Database Machine eliminates thecomplexity of deploying database

systems Months of configuration, troubleshooting, tuning

Database Machine is ready on dayone

Pre-built, tested, standard, supportable configuration

Runs existing applications unchanged

Extreme performance out of the boxMonths to

Days


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Performance

Why is Oracle Faster?

DB Processing in Storage

Better Compression (10x)

Smart Flash Cache

Faster Interconnect (40Gb/sec)

More Disks

Faster Disks (15K RPM)

2009 Oracle Corporation

21

1011.4

7.5

0

10

20

30

40

50

60

Query Throughput Query Throughput with Flash

50

HITACHIUSP V

TERADATA2550

NETEZZATwinFin 12

SUN ORACLEDatabase Machine


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Exadata FlashExtreme Performance

Sun Oracle Database Machinehas 5.3 TB of flash storage

OLTP - Over 1 Millions IOPS DW 50 GB/s throughput

Smart Flash Cache caches hotdata

Not just simple LRU Knows when to avoid caching to avoid

flushing cache Allows optimization by application tableOracle is the First Flash

Optimized Database

New


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Semiconductor Cache Hierarchy

Massive throughput and IOsthrough innovative CacheHierarchy

Database DRAM Cache 400GB raw capacity Up to 4TB compressed user data 100 GB/sec

Exadata Smart Flash Cache 5TB raw capacity Up to 50TB compressed user data 50 GB/sec raw scan 1 million IO/sec

Exadata disks 100TB or 336TB raw Up to 500TB compressed user data 21 GB/sec scan 50K IO/sec


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Sun Oracle Database MachineProduct Family SAS Disk Drives

1M 8M1,000,000500,000225,00075,000I/O per Second (IOPS)

N/A

3.6 GB/sec1.5 GB/sec

2 TB

7.2 TB

11

Basic

100 - 400 GB/sec50 GB/sec25 GB/sec11 GB/secI/O Throughput (flash)42 - 168 GB/sec21 GB/sec10.5 GB/sec4.5 GB/secI/O Throughput (disks)

2-8111Racks

56 224 TB28 TB14 TB6 TBUser Data (uncompressed)

200 800TB100 TB50 TB21 TBTotal Disk Capacity

28-1121473Exadata Storage Servers16-64842Database Servers

2-8 Full RacksFull RackHalf RackQuarterRack


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2008 Oracle Corporation 26

Scale-Out Architecture

The database, ASM, and Exadata Cells each

play a role in Oracles scale-out storagearchitecture

Responsibilities are placed in the optimallocation DB Business Data Protection ASM Reliable Storage Pool Exadata Cell Database Intelligent Storage

Seamless integration simplifies management

ASMReliable Storage

Pool

BusinessData Protection

DatabaseIntelligent StorageExadata


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ASMReliable Storage

Pool




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Scale-Out Business Data Protection

Business Data Protection is implemented by the Database Only the database can protect and recover business level objects

Data Guard provides disaster protection and corruption protection

Automatically maintained standby copy of database Standby database is available for reads, reports, backups not idle

Flashback provides point-in-time recovery Snapshot-like capabilities to rewind database to before error At row, transaction, table, or complete database level

Recovery Manager (RMAN) provide backup to disk and tape Archiving and corruption protection Data is validated as it is backed up

Storage Grid

These work with Exadata with no changes

Users and database administrators continueto use familiar tools


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Exadata Storage Management & Administration

Enterprise Manager Manage & administer Database and ASM

Exadata Storage Plug-in Enterprise Manager Grid Control Plug-in to monitor &

manage Exadata Storage Cells

Comprehensive CLI Local Exadata Storage cell management Distributed shell utility to execute CLI across multiple

cells

Lights-out Management (ILOM) Remote management and administration of hardware


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ASMReliable Storage

Pool




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Exadata Cell Exadata Cell

Exadata Storage Layout ExampleGrid Disks

Cell Disks are logically partitioned into Grid Disks Grid Disk is the entity allocated to ASM as an ASM disk Minimum of one Grid Disk per Cell Disk Can be used to allocate hot, warm and cold regions of a

Cell Disk or to separate databases sharing Exadata Cells

GridDisk


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Exadata Storage Layout ExampleASM Disk Groups and Mirroring

Two ASM disk groups defined One for the active, or hot portion, of the database and a

second for the cold or inactive portion ASM striping evenly distributes I/O across the disk group ASM mirroring is used protect against disk failures

Optional for one or both disk groups

Exadata Cell Exadata Cell

Hot Hot Hot Hot Hot Hot

Cold Cold Cold Cold Cold Cold

Hot ASMDisk Group Cold ASM

Disk Group


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ASMReliable Storage

Pool




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Database Intelligence:Smart Scan

Data Reductionand Host Offloading


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Traditional Scan Processing

Smart Scan Example: Telco wants to identify

customers that spend morethan $200 on a single phonecall

With traditional storage, alldatabase intelligence residesin the database hosts

Most data returned fromstorage is discarded bydatabase

Discarded data consumesvaluable resources, andimpacts the performance ofother workloadsIOs Executed:

1 terabyte of datareturned to hosts

DB Host reduces

terabyte of data to 1000customer names thatare returned to client

Rows ReturnedSELECT

customer_id FROM calls

where amount >200;

TableExtents

Identified

I/Os Issued


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Exadata Smart Scan Processing

Only the relevant columns customer_idand required rows where amount>200are are returned to database

CPU consumed by predicateevaluation is offloaded

Moving scan processing offthe database frees CPUcycles and eliminates lots ofunproductive messaging

Returns the needle, not theentire hay stack2MB of data

returned to server

Rows Returned

Smart ScanConstructed And

Sent To Cells

Smart Scanidentifies rows andcolumns within

terabyte table thatmatch request

ConsolidatedResult SetBuilt From

All Cells

SELECTcustomer_id

FROM calls where amount >

200;


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More Smart Scans

Join filtering Join filtering is performed within Exadata cells Predicates on dimension tables can be used to filter fact tables

Example - Select total sales of all Italian wines Item numbers of Italian wines are read from Item table

Then translated into a Bloom filter Bloom filter is applied by the cells during the scan of Sales

table to identify sales of Italian wines

Index Scans When only the columns in an index are selected, the smart scan

can be performed on the index instead of the full table


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Smart Scans for Backup

To optimize disk performance, the database issues large I/Os to readmultiple blocks that need backup

Even when some unneeded blocks are between the blocks needingbackup, the database will issue a single efficient large I/O The database then discards the unneeded blocks

Cells offload the overhead of filtering unneeded blocks

Large I/Os for multiplenearby blocks

Small I/O forisolated block


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End-to-End Data Validation

Exadata performs extensive validation of database

blocks Checksums, block locations, magic numbers, head and tailchecks, alignment, etc.

End-to-End validation from database memory to cell Stops corrupted data from being written to disk

Database blocks are validated when they are read fromdisk If block became corrupted on disk, the mirror block is read

from another cell


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Smart Scan Transparency

Smart Scans correctly handle complex cases including Uncommitted data and locked rows Chained rows

Compressed tables National Language Processing Date arithmetic Regular expression searches

Partitioned tables

Smart scans are transparent to the application No application or SQL changes required

Returned data is fully consistent and transactional If a cell dies during a smart scan, the uncompleted portions of

the smart scan are transparently routed to another cell


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New

Exadata Hybrid Columnar Compression

Data is grouped by columnand then compressed

Query Mode for datawarehousing

Optimized for speed

10X compression typical Scans improve proportionally

Archival Mode forinfrequently accessed data

Optimized to reduce space 15X compression is typical Up to 50X for some data


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10 10 10 1116 19 19 19

20 21

29

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05

101520253035404550

S i z e

R e

d u c

t i o n

F a c t o

r b y

T a

b l e

OLTP Compression (avg=3.3)

Query Compression (avg=14.6)

Archive Compression (avg=22.6)

Real-World Compression Ratios

Oracle Production E-Business Suite Tables

Columnar compression ratios Query = 14.6X Archive = 22.6X Vary by application and table

52


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Exadata Storage IndexTransparent I/O Elimination with No Overhead

Exadata Storage Indexes maintainsummary information about table datain memory

Store MIN and MAX values of columns Typically one index entry for every MB of disk

Eliminates disk I/Os if MIN and MAXcan never match where clause of aquery

Completely automatic andtransparent

A B C D1

3

5

5

8

3

Min B = 1Max B =5

Table Index

Min B = 3Max B =8

Select * from Table where B


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Best Machine forData Warehousing


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Best Data Warehouse Machine

Massively parallel high volume hardware toquickly process vast amounts of data

Exadata runs data intensive processingdirectly in storage

Most complete analytic capabilities OLAP, Statistics, Spatial, Data Mining, Real-time

transactional ETL, Efficient point queries

Powerful warehouse specific optimizations Flexible Partitioning, Bitmap Indexing, Join indexing, Materialized Views, Result

Cache

Dramatic new warehousing capabilitiesData Mining

OLAP

ETLETL

New


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Benefits Multiply

1 TBwith compression

10 TB of user dataRequires 10 TB of IO

100 GBwith partition pruning

20 GBwith Storage Indexes

5 GB Smart Scan onMemory or Flash

SubsecondOn DatabaseMachine

Data is 10x Smaller, Scans are 2000x faster


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In-Memory Parallel Queries

One Sun Oracle Database Machine rack 400GB of DRAM usable for caching

Exadata Hybrid Columnar Compressionenables 4TB data in DRAM

Database release 11.2 introduces parallelquery processing on DRAM cached data

Harnesses DRAM capacity of entire database cluster forqueries

Technology for world record benchmark

315,842

1,018,321

1,166,976

ParAccel Exasol Oracle & HPExadata

QphH: 1 TB TPC-H

Faster than specialized in-memory warehouse databases DRAM has 100x more bandwidth than Disk

New

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.


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DBFS - Scalable Shared File System

Database Machine comes with DBFS shared Linux file system Shared storage for ETL staging, scripts, reports and other application files

Files stored as SecureFile LOBs in database tables stored inExadata Protected like any DB data mirroring, DataGuard, Flashback, etc.

5 to 7 GB/sec file system I/O throughput

ETL Files in DBFS

Load into databaseusing External Tables

New

ETL

More File Throughput than High-End NAS Filer


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Best Machine for OLTP

B t OLTP M hi


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Best OLTP Machine

Only Oracle runs real-worldbusiness applications on theGrid

Unique fault-tolerant scale-outOLTP database

RAC, Data Guard, Online Operations

Unique fault-tolerant scale-outstorage suitable for OLTP

ASM, Exadata

Dramatic New OLTPCapabilities

Th Di k R d I/O B l k


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The Disk Random I/O Bottleneck Disk drives hold vast amounts of data

But are limited to about 300 I/Os per second

Flash technology holds much less data But can run tens of thousands of I/Osper second

Ideal Solution Keep most data on disk for low cost

Transparently move hot data to flash Use flash cards instead of flash disks to avoid disk

controller limitations Flash cards in Exadata storage

High bandwidth, low latency interconnect

300 I/O per Sec

Tens of Thousands ofI/Os per Second

Exadata Smart Flash Cache


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Exadata Smart Flash CacheExtreme Performance

Database Machine achieves: 20x more random I/Os

Over 1 million per second 2x faster sequential query I/O

50 GB/sec

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 EnterpriseStorage Array

Complete Open Integrated Availability


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WAN

Complete, Open, Integrated AvailabilityMaximum Availability Architecture

Protection from Server Failures Storage Failures Network Failures Site Failures

Real-time remote standby open forqueries

Human error correction Database, table, row, transaction level

Online indexing and table redefinition Online patching and upgrades

RealApplication

Clusters

RealApplication

Clusters

ASMASM

Fast

Recovery Area

Fast

Recovery Area

ActiveData Guard

ActiveData Guard

SecureBackupSecureBackup

Complete Open Integrated Security


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Complete, Open, Integrated Security

DataMasking

AdvancedSecurity SecureBackup

Encryption and Masking

DatabaseVault

LabelSecurity

Access Control

Configuration

Management

AuditVault Total

Recall

Monitoring


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Best Machine for Consolidating Databases

Consolidating Databases


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Consolidating Databases

Biggest driver of ongoingcost is

Multitudes of special-purpose systems

Consolidate onto DatabaseMachine

High performance for all applications Low cost platform for all applications

Predictable response times in a sharedenvironment Handles all data management needs Complete, Open, Integrated

ERP

CRM

Warehouse

Data MartHR

CRMERP

Warehouse Data Mart

HR


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Exadata I/O Resource Management


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Exadata implements Smart I/O Resource management at threelevels:

Transaction Level Ensures higher priority transactions get better throughput Database Level

Ensures each database gets fair share of disk bandwidth Usage Category Level

Ensures interactive users are not slowed by reporting or batch

Each Exadata cell coordinates its I/Os based on a grid-wideplan



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Mixed Workload Environments

Ensure different transactions and users within adatabase are allocated the correct relative

amount of I/O The same Database Plan that is used to directCPU resources is used to direct I/O Host side RM has been in Oracle since 9 i R1

Example Database Plan: Interactive Txns: 70% of I/O bandwidth Reporting Txns: 30% of I/O bandwidth

also any bandwidth not taken by Interactive

Interactive70%

Reporting30%



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Multi-Database Environment

Ensure different databases areallocated the correct relative amount

of I/O resources Example Inter-database Plan: Database A: 33% of I/O bandwidth Database B: 67% of I/O bandwidth Unused bandwidth can go to the other

Or Database B has lower priority than A

E.g testing or development DB

Within each database prioritizebased on database plan

Database B(RAC)

Database A(Single-Instance)

33% 67%


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Exadata V2 Summary


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y

Fastest Data Warehousing& OLTP Performance

Best Data Warehousing

& OLTP Cost/Performance

Fault Tolerant

& Scalable On-Demand


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Documents

Presentation - Exadata V2 - Sun Oracle Database Machine