Whats New in Oracle TimesTen In-Memory Database 11g and Oracle In-Memory Database Cache 11g...

What’s New inOracle TimesTen In-Memory Database 11g andOracle In-Memory Database Cache 11g

Marie-Anne NeimatVice President, Development

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.

Real-Time Data ManagementEnabling the Real-Time World

Real-Time Systems and Applications(BAM, CRM, Fraud Detection, RT billing, Personalization,

Portals, Telco Services, Financial Services)

Uninterrupted Service• High availability across all

components

Speed of Deployment• Ease of implementation• Ease of administration• Integration in data management

stack

Controlled expenses• Leverage inexpensive middle-tier

hardware• More transactions per IT dollars• Incremental scalability

Instant Responsiveness• Even during peak periods• Competitive advantage• Ensures customer satisfaction• Reduces operations cost

Agenda

• Quick Overview– Oracle TimesTen In-Memory Database and– Oracle In-Memory Database Cache

• What’s new in 11g• Customer use cases

Oracle TimesTen In-Memory DatabaseMemory-Optimized Standalone Database

• Persistent, memory-optimized relational database

• Delivers extreme performance for real-time applications

• Highly available

• Deployed in the middle tier, close to the application

• Operates as a standalone database

• Or …

Application Application Application

Telco ServicesFinancial Services

CRM, Portal, SaaS,

Customer-facing Applications

Intelligence, Defense, Real-TimeBAM & BI

In-Memory Database CacheIn-Memory Database Cache

Real Application ClusterReal Application Cluster

Automatic Storage ManagementAutomatic Storage Management

Oracle In-Memory Database CacheLow-Cost Extreme Performance in the Middle-tier

• Accelerates Oracle Database applications

• Utilizes middle-tier resources

• Data cached in Oracle TimesTen In-Memory Database

– Database tables

– Subsets of rows and columns

• Fast, consistent response times

– High transaction throughput

• Standard SQL interface– Synchronized with Oracle Database

Cached tables

BusinessApplications

Cached tables

BusinessApplications

Lightning Fast Response Time

0

4

8

12

16

Mic

rose

con

ds

Read a Record Update Transaction

Average Response TimeTimesTen In-Memory Database

Oracle TimesTen In-Memory Database 11g Intel Xeon 3.0 Ghz 64-bit Oracle Enterprise Linux

14Millionths of

a second

4Millionths of

a second

Linear Throughput ScalingScale Up on Multi-Processor / Multi-Core Hardware

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

Rea

ds

per

Sec

on

d

1 2 4 6 8

Number of Processes

Read Throughput

Oracle TimesTen In-Memory Database 11g AMD64 Dual-Core 1.8GHz, 4 Processors, 16GB RAM; OEL 4.0

Linear Throughput ScalingScale Up on Multi-Processor / Multi-Core Hardware

0

30,000

60,000

90,000

120,000

150,000

180,000

210,000

Up

dat

es p

er S

eco

nd

1 2 4 6 8

Number of Processes

Update Throughput

Oracle TimesTen In-Memory Database 11g AMD64 Dual-Core 1.8GHz, 4 Processors, 16GB RAM; OEL 4.0

8th process competes with log flusher for CPU resource

Out of CPUresources

Oracle TimesTen In-Memory DatabaseOptimized In-Memory Database Technology

• In-memory RDBMS– Entire database in memory– Persistent database– Optimized memory layout and

algorithms

• Exceptional performance– Instantaneous response time– High throughput– Embeddable

• Persistent and durable– Transactions with ACID properties– Flexible options for data

persistence to disk

• Standard SQL and PL/SQL with– JDBC, ODBC, OCI, Pro*C– Data types compatible with Oracle

Database

Directly-Linked Application

TimesTen Libraries

Client-Server Application

TimesTen Client Lib

Memory-Resident Database

Client/Server

JDBC / ODBC / OCI / Pro*c

Checkpoint Files

Log Files

Fast data access

Transactional ReplicationHigh Availability and Instantaneous Failover

• Real-time transactional replication • High performance

– Asynchronous replication– Synchronous replication

• Multiple topologies, including– Active Standby Pair– Active Active

• Robust and reliable – Supports both LAN and WAN

configuration– Data compression

• Support online upgrade – No downtime, cross version

replication

Read-Only Subscribers

TimesTenIMDBTimesTen

IMDBTimesTenIMDB

Subscriber

TimesTenIMDB

Active

TimesTenIMDB

Standby

ApplicationTransactions

ApplicationReads on Hot

Standby

ApplicationReads

Active Standby Pair Topology

Active Active Topology

TimesTenIMDB

Active

TimesTenIMDB

Active



SplitWorkload

Oracle In-Memory Database CacheAccelerator for Oracle Database Applications

• Reduced response time and increased throughput for Oracle Database applications

• Oracle Database tables cached in the application-tier– Groups of related tables– All or subset of rows and columns

• Read-only and updatable caches– Cached tables accessed like

regular SQL database tables– Joins/search, insert/update/delete

• Automatic data synchronization– TimesTen to Oracle– Oracle to TimesTen

Directly-Linked Application

TimesTen Libraries

Client-Server Application

TimesTen Client Lib

Client/Server

JDBC / ODBC / OCI / Pro*CCheckpoint

Files

Log Files

Mid-Tier Server

AutomaticSynchronization

Read-Only Cached Tables

• Content of cached tables pre-loaded or dynamically loaded– Dynamic loading coupled

with automatic aging• Automatic transactional

synchronization• Frequency of refreshes

controlled by application

Example: Call Center App• Agent profiles pre-loaded in

all grid members• Updates to agent profiles

applied to Oracle Database

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

Updates

Reads

Reads

Reads

Automatic Synchronization

GridMember

Updatable Cached Tables

• Content of cached tables pre-loaded or dynamically loaded– Dynamic loading coupled


synchronization– Synchronous– Asynchronous

Example: Call Center App• Customer profiles loaded

dynamically when needed• Customer profiles updated in

IMDB Cache & propagated automatically to Oracle DB

• Customer profiles aged out automatically when not used

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

Updates

Updates

Updates


Mixed Caches

• Read-only cached tables and updatable cached tables in the same In-Memory Database Cache

• Cached tables may be pre-loaded or dynamically loaded– Dynamic loading coupled


synchronization

Example: Call Center App• Read-only, pre-loaded agent

profiles co-exist with updatable, dynamically loaded customer profiles

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application


Updates

Highly Available CachesHighly-Available Cross-Tier Data Management Stack

• Active/Standby pair replication

• Synchronous or asynchronous

• Available with read-only and updatable cached tables

• Resilient to failure of any component– IMDB Cache active– IMDB Cache standby– RAC instance– Oracle Database cluster

Replication

In-MemoryDatabase

CacheIn-MemoryDatabase

Cache

Application

In-MemoryDatabase


Cache

Application In-MemoryDatabase


Cache

Application

Data Guard

ActiveStandby

In-MemoryDatabase



Cache

Read-OnlySubscribers

Agenda

• Quick Overview– Oracle TimesTen In-Memory Database and– Oracle In-Memory Database Cache

• What’s new in 11g• Customer use cases

Oracle TimesTen and IMDB Cache What’s New in 11g Release

• Globally shared caches– Incremental scalability on low cost hardware

• PL/SQL, OCI, Pro*C support– Minimal application changes

• Automated cross-tier high availability – Zero downtime

Coupled with extreme performance

•Reduce the cost of adoption and the cost of operation

Incremental Scalability

Globally Shared CachesHorizontal Scaling on Low-Cost Hardware

• Location transparency – Content of all cache

nodes available at each node

• On-demand loading of cached data and redistribution based on usage

• Transactional consistency• Peer-to-peer

communication• Automatic

synchronization with Oracle Database

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application


Updates

New

Horizontal Scaling with In-Memory Database CacheScale Out on Low Cost Hardware

0

20,000

40,000

60,000

80,000

100,000

120,000

Up

dat

es P

er S

eco

nd

1 2 4 8 16 32 64

Number of Cache Grid Members

Sun 5240 Servers – 2 Sockets, 8 cores/socket, 8 hdwr threads/core

Online Addition/Removal of Cache NodesIncremental Scalability

• On-demand addition/ removal of cache nodes to match– Memory

capacity needs– Computation

capacity needs

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

New

MinimalApplication Changes

Application Development

SQL

PL/SQL

LanguagesC/C++

ODBC

ttClasses

OCI, Pro*C

J2EE App Servers OR Mapping

New in 11g releaseNew in 11g release• Oracle Call Interface (OCI) and Pro*C SupportOracle Call Interface (OCI) and Pro*C Support• PL/SQL – ability to invoke PL/SQL code from all supported APIsPL/SQL – ability to invoke PL/SQL code from all supported APIs

IMDB CACHEIMDB CACHE

Minimal Application ChangesPL/SQL, OCI, and Pro*C in TimesTen Database

• PL/SQL support– PL/SQL engine implemented inside TimesTen database– Same Oracle PL/SQL language– Subset of packages

• OCI Support– Identical API signatures as used for the Oracle Database– Subset of functions

• Pro*C/C++ support– Built using the same Oracle Pro*C/C++ precompiler

• Minimal application changes– Extremely fast response time and high throughput

New

Order Matching Application

• Three different types of transactions:– Place market order– Place limit order– Process quote

• Business logic implemented in PL/SQL stored procedures

• Application written in Java• Execute 1000 times in one

thread– Place an order– Process a quote

Presentation

TradingApplication

TradingApplication

In-MemoryDatabase

Cache

PL/SQLExecuted onOracle DB

PL/SQLExecuted inIMDB Cache

Accelerate Order Matching ApplicationLower Response Time and Higher Throughput

Zero Downtime

Integration with Oracle ClusterwareAutomated Management, Monitoring and Failover

Oracle Clusterware• Manages TimesTen / IMDB

Cache processes• Monitors and detects failure of– Nodes– TimesTen / IMDB Cache

processes– Applications

• Manages automatic failover and assignment of new roles

• Recovers automatically, including provisioning of spare nodes

In-MemoryDatabase



Cache

Read-Only Subscribers

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

Active Standby

SharedStorage

Spare Nodes

New

Integration with Oracle Data GuardOracle Maximum Availability Architecture

• Support Data Guard synchronous standby– Failover and

switchover

– Rolling upgrades

Primary DB Physical / LogicalStandby DB

Data Guard

In-MemoryDatabase


Cache

Application

In-MemoryDatabase


Cache



Cache

Application

Integration with Oracle Data GuardOracle Maximum Availability Architecture

• Switchover / failover to standby Data Guard

– Zero downtime

– No data loss

Primary DB Physical / LogicalStandby DB

New

In-MemoryDatabase


Cache

Application

In-MemoryDatabase


Cache



Cache

Application

Automatic Client Connection Failover

• Available for Client / Server connections

• Configurable by the application In-Memory

DatabaseCache

Active

In-MemoryDatabase

Cache

Standby

IMDB CacheClient Library

Application

Automatic Client Connection Failover

• Connection failover is automatic upon TimesTen/IMDB Cache server failover to the Standby server– Automatic re-connect to the

new Active server– Connection handle is

preserved

• Applications may subscribe to connection failover notification (like TAF)

In-MemoryDatabase

Cache

Active

In-MemoryDatabase

Cache

Active

IMDB CacheClient Library

Application

New

SQL Developer and Enterprise Manager Plug-InSame Tools for the Oracle Stack

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

In-MemoryDatabase

Cache

Application

Oracle Enterprise Manager

SQL Developer

CustomerUse Cases

Proven in Real-Time DeploymentsDeployed by Thousands of Companies

Smart Metering OperationsIMDB Cache Reduces Hardware Expenses

• Complete meter, data & xact management at national level

• Half-hourly data collection from every meter (47M)

• Daily feedback• Requirement: Process– 463 msg/sec at supplier level– 2167 msg/sec at national level

Oracle DBOracle DB +IMDB Cache

200 Msgs / sec 1,555 Msgs / sec

3 Servers at supplier lvl

1 Server at supplier lvl

12 Servers at national lvl

2 Servers at national lvl

In-MemoryDatabase


Cache

Application

In-MemoryDatabase


Cache



Cache

Application

Msgqueue

Smart meters

Server: HP Proliant server with 4 dual core AMD Opteron CPUs and 16GB of RAM

Airline Ticket Fare Search and Reservation SystemTimesTen and IMDB Cache Accelerate Least Fare Searches

• No 3 Airline co in the world• New fare system for domestic

flights• Provide customers ability to– Query fares (80 SQL stmts/xact)– Request least fare (600 SQL

stmts/xact)

• Guarantee low response time and high throughput

• Solution– Oracle TimesTen– Oracle IMDB Cache– Oracle Database RAC

In-MemoryDatabase

Cache

Application

Flight SchedulesSeat Assignments

TimesTenIn-MemoryDatabase

Application


Application


Application


Application

Monthly FareUpdate

FareQueries

Least FareSearch

New VOIP Application Server

Database Requirements• Data access latency < 10ms• Ease of administration• Geo-redundancy• High Availability

Solution• IMDB Cache for real time queries,

local and central administration• Data Guard for Geo-Redundancy• RAC for high availability

Results• Exceeds Site latency requirement• Site query time ~2.2 ms• WAN to RAC query time ~150 ms

Reduce Call Connection Time Performance + Site Availability + Geo Redundancy

Primary connections to IMDB CacheBackup connections to IMDB CacheOracle Data Guard

EAST

RAC

WEST

RAC

Site Requirements• Fast data access • High Availability

Solution• Application connects to

local data source for fast response time

• Active and Standby for HA • 2 read-only subscribers for

additional data capacity and site redundancy

Site Availability Low Latency + Local Redundancy

IMDBCache

Active

IMDBCache

Standby

IMDBCache

Subscriber

IMDBCache

Subscriber

App

Site Configuration

For More Information

Oracle TimesTen Product Center on OTN:

http://oracle.com/technology/products/timesten

• Technology white papers• Quick Start Guide and Tutorials• Discussion Forum• And more …

Other TimesTen and IMDB Cache Sessions

Title Date/Time Venue/Room

What’s New in Oracle TimesTen In-Memory Database and Oracle In-Memory Database Cache 11g

Wed 11:45 Moscone SouthRoom 306

Using Oracle TimesTen In-Memory Database to Deploy Low-Latency Applications in Remote Sites - Comcast

Wed 13:45 Moscone SouthRoom 102

High Speed and High Availability with Oracle In-Memory Database Cache 11g

Wed 17:00 Moscone South

Room 307

Visit us at the DemoGround! Moscone West, booths W-033 and W-036

Whats New in Oracle TimesTen In-Memory Database 11g and Oracle In-Memory Database Cache 11g...

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