2. Marie-Anne Neimat Vice President, Development
What’s New in Oracle TimesTen In-Memory Database 11g and Oracle In-Memory Database Cache 11g
Marie-Anne Neimat
Vice President, Development

3. The following is intended to outline our general product direction
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.

4. Real-Time Data Management Enabling the Real-Time World
Instant Responsiveness
Even during peak periods
Competitive advantage
Ensures customer satisfaction
Reduces operations cost
Uninterrupted Service
High availability across all components
Real-Time Systems and Applications
(BAM, CRM, Fraud Detection, RT billing, Personalization, Portals, Telco Services, Financial Services)
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

5. Agenda Quick Overview What’s new in 11g Customer use cases
Oracle TimesTen In-Memory Database and
Oracle In-Memory Database Cache
What’s new in 11g
Customer use cases

6. Agenda Quick Overview What’s new in 11g Customer use cases
Oracle TimesTen In-Memory Database and
Oracle In-Memory Database Cache
What’s new in 11g
Customer use cases

7. Oracle TimesTen In-Memory Database Memory-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 …
Telco Services Financial Services
CRM, Portal, SaaS, Customer-facing Applications
Intelligence, Defense, Real-Time BAM & BI
Application
Application
Application

8. Oracle In-Memory Database Cache Low-Cost Extreme Performance in the Middle-tier
Cached tables
Business
Applications
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
In-Memory Database Cache
Real Application Cluster
Automatic Storage Management
Note that Oracle licenses two products: TimesTen and IMDB Cache.

9. Lightning Fast Response Time4
Millionths of
a second 14
Millionths of
a second
Oracle TimesTen In-Memory Database 11g Intel Xeon 3.0 Ghz 64-bit Oracle Enterprise Linux

10. Linear Throughput Scaling Scale Up on Multi-Processor / Multi-Core Hardware
Oracle TimesTen In-Memory Database 11g AMD64 Dual-Core 1.8GHz, 4 Processors, 16GB RAM; OEL 4.0

11. 8th process competes with log flusher for CPU resource
Linear Throughput Scaling Scale Up on Multi-Processor / Multi-Core Hardware
Out of CPU
resources
8th process competes with log flusher for CPU resource
Oracle TimesTen In-Memory Database 11g AMD64 Dual-Core 1.8GHz, 4 Processors, 16GB RAM; OEL 4.0

12. Oracle TimesTen In-Memory Database Optimized In-Memory Database Technology
Client-Server Application
TimesTen Client Lib
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
Client/ Server
Directly-Linked Application
TimesTen Libraries
JDBC / ODBC / OCI / Pro*c
Memory-Resident Database
Fast data
access
Checkpoint Files
Log Files

13. Transactional Replication High Availability and Instantaneous Failover
Read-Only Subscribers
TimesTen
IMDB
Subscriber
Active
Standby
Application
Transactions
Reads on Hot
Reads
Active Standby Pair Topology
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
Active Active Topology
TimesTen
IMDB
Active
Application
Transactions
Split
Workload

14. Client-Server Application Directly-Linked Application
Oracle In-Memory Database Cache Accelerator for Oracle Database Applications
Client-Server Application
TimesTen Client Lib
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
Client/ Server
Directly-Linked Application
TimesTen Libraries
JDBC / ODBC / OCI / Pro*C
Checkpoint Files
Log Files
Mid-Tier Server
Automatic
Synchronization

15. 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
Reads
Reads
Reads
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
Grid
Member
Automatic Synchronization
Updates

16. Updatable Cached Tables
Content of cached tables pre-loaded or dynamically loaded
Dynamic loading coupled with automatic aging
Automatic transactional 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
Updates
Updates
Updates
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
Automatic Synchronization

17. Automatic Synchronization
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 with automatic aging
Automatic transactional synchronization
Example: Call Center App
Read-only, pre-loaded agent profiles co-exist with updatable, dynamically loaded customer profiles
In-Memory
Database
Cache
Application
Automatic Synchronization
Updates

18. Highly Available Caches Highly-Available Cross-Tier Data Management Stack
Standby
In-Memory
Database
Cache
Active
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-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
Read-Only
Subscribers
Data Guard

19. Agenda Quick Overview What’s new in 11g Customer use cases
Oracle TimesTen In-Memory Database and
Oracle In-Memory Database Cache
What’s new in 11g
Customer use cases

20. Oracle TimesTen and IMDB Cache What’s New in 11g Release
Reduce the cost of adoption and the cost of operation
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

21. Incremental Scalability

22. Globally Shared Caches Horizontal Scaling on Low-Cost Hardware
New
Globally Shared Caches Horizontal 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-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
Automatic Synchronization
Updates

23. Sun 5240 Servers – 2 Sockets, 8 cores/socket, 8 hdwr threads/core
Horizontal Scaling with In-Memory Database Cache Scale Out on Low Cost Hardware
Sun 5240 Servers – 2 Sockets, 8 cores/socket, 8 hdwr threads/core

24. Online Addition/Removal of Cache Nodes Incremental Scalability
New
Online Addition/Removal of Cache Nodes Incremental Scalability
On-demand addition/ removal of cache nodes to match
Memory capacity needs
Computation capacity needs
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application
In-Memory
Database
Cache
Application

25. Minimal
Application Changes

26. Application Development
ODBC
SQL
ttClasses
PL/SQL
OCI, Pro*C
C/C++
Languages
J2EE App Servers
OR Mapping
IMDB CACHE
New in 11g release
Oracle Call Interface (OCI) and Pro*C Support
PL/SQL – ability to invoke PL/SQL code from all supported APIs

27. Minimal application changes
New
Minimal Application Changes PL/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
TimesTen supports PL/SQL packages with:
Parameterized cursors
Ref cursors
PL/SQL types (records and tables)
Dynamic and static SQL
Returning into clause

28. 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
Trading
Application
In-Memory
Database
Cache
PL/SQL
Executed on
Oracle DB
Executed in
IMDB Cache
Three different types of transactions:
Place market order
Executed immediately at market price
Place limit order
Executed if market price matches requested price, otherwise placed in a queue of pending orders
Process quote
Update price of an instrument and check if any pending orders can be executed
Business logic implement in PL/SQL
Application written in Java
Demo – Execute the following 1,000 times in one thread
Place an order
Process a quote

29. Accelerate Order Matching Application Lower Response Time and Higher Throughput

30. Zero Downtime

31. Read-Only Subscribers
New
Integration with Oracle Clusterware Automated Management, Monitoring and Failover
In-Memory
Database
Cache
Read-Only Subscribers
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-Memory
Database
Cache
In-Memory
Database
Cache
In-Memory
Database
Cache
Application
Active
Standby
Spare Nodes
Shared Storage

32. Support Data Guard synchronous standby
Integration with Oracle Data Guard Oracle Maximum Availability Architecture
In-Memory
Database
Cache
Application
Support Data Guard synchronous standby
Failover and switchover
Rolling upgrades
In-Memory
Database
Cache
Application
Primary DB
Physical / Logical
Standby DB
Data Guard

33. Switchover / failover to standby Data Guard
New
Integration with Oracle Data Guard Oracle Maximum Availability Architecture
In-Memory
Database
Cache
Application
Switchover / failover to standby Data Guard
Zero downtime
No data loss
In-Memory
Database
Cache
Application
Primary DB
Physical / Logical
Standby DB

34. Automatic Client Connection Failover
IMDB Cache
Client Library
Application
Available for Client / Server connections
Configurable by the application
In-Memory
Database
Cache
Active
Standby

35. Automatic Client Connection Failover
New
Automatic Client Connection Failover
IMDB Cache
Client Library
Application
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-Memory
Database
Cache
Active
In-Memory
Database
Cache
Active

36. Tools

37. Oracle Enterprise Manager
SQL Developer and Enterprise Manager Plug-In Same Tools for the Oracle Stack
Oracle Enterprise Manager
SQL Developer
In-Memory
Database
Cache
Application

38. Customer
Use Cases

39. Proven in Real-Time Deployments Deployed by Thousands of Companies

40. Smart Metering Operations IMDB Cache Reduces Hardware Expenses
In-Memory
Database
Cache
Application
Msg
queue
Smart meters
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 DB
Oracle DB +
IMDB Cache
200
Msgs / sec
1,555 3
Servers at supplier lvl 1
Server at supplier lvl 12
Servers at national lvl 2
REM = Remote Energy Monitoring
Server: HP Proliant server with 4 dual core AMD Opteron CPUs and 16GB of RAM

41. Airline Ticket Fare Search and Reservation System TimesTen 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
Fare
Queries
Least Fare
Search
TimesTen
In-Memory
Database
Application
TimesTen
In-Memory
Database
Application
In-Memory
Database
Cache
Application
TimesTen
In-Memory
Database
Application
TimesTen
In-Memory
Database
Application
Monthly Fare
Update
Flight Schedules
Seat Assignments

42. Primary connections to IMDB Cache Backup connections to IMDB Cache
Reduce Call Connection Time Performance + Site Availability + Geo Redundancy
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
EAST
RAC
WEST
RAC
Primary connections to IMDB Cache
Backup connections to IMDB Cache
Oracle Data Guard

43. Site Availability Low Latency + Local Redundancy
IMDB
Cache
Active
Standby
Subscriber
App
Site Configuration
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

44. For More Information
Oracle TimesTen Product Center on OTN:
Technology white papers
Quick Start Guide and Tutorials
Discussion Forum
And more …

45. 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 South Room 306
Using Oracle TimesTen In-Memory Database to Deploy Low-Latency Applications in Remote Sites - Comcast
Wed 13:45
Moscone South Room 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

46. Q
& A