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What’s New in Oracle TimesTen In-Memory Database 11g and Oracle In-Memory Database Cache 11g Marie-Anne Neimat Vice 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 Management Enabling the Real-Time World Instant Responsiveness Uninterrupted Service • • • • • High availability across all components Even during peak periods Competitive advantage Ensures customer satisfaction Reduces operations cost Real-Time Systems and Applications (BAM, CRM, Fraud Detection, RT billing, Personalization, Portals, Telco Services, Financial Services) Speed of Deployment Controlled expenses • Ease of implementation • Ease of administration • Integration in data management stack • Leverage inexpensive middle-tier hardware • More transactions per IT dollars • Incremental scalability Agenda • Quick Overview – Oracle TimesTen In-Memory Database and – Oracle In-Memory Database Cache • What’s new in 11g • Customer use cases 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 Database Memory-Optimized Standalone Database Telco Services Financial Services CRM, Portal, SaaS, Customer-facing Applications Intelligence, Defense, Real-Time BAM & BI • Persistent, memory-optimized relational database • Delivers extreme performance for real-time applications • Highly available Application Application Application • Deployed in the middle tier, close to the application • Operates as a standalone database • Or … Oracle In-Memory Database Cache Low-Cost Extreme Performance in the Middle-tier • Accelerates Oracle Database applications • Utilizes middle-tier resources • Data cached in Oracle TimesTen In-Memory Database Business Applications Business Applications Cached tables Cached tables In-Memory Database Cache – Database tables – Subsets of rows and columns • Fast, consistent response times Real Application Cluster – High transaction throughput • Standard SQL interface – Synchronized with Oracle Database Automatic Storage Management Lightning Fast Response Time Average Response Time TimesTen In-Memory Database Microseconds 16 12 8 4 0 4 14 Millionths of a second Millionths of a second Read a Record Update Transaction Oracle TimesTen In-Memory Database 11g Intel Xeon 3.0 Ghz 64-bit Oracle Enterprise Linux Linear Throughput Scaling Scale Up on Multi-Processor / Multi-Core Hardware Read Throughput Reads per Second 1,400,000 1,200,000 1,000,000 800,000 600,000 400,000 200,000 0 1 2 4 6 8 Number of Processes Oracle TimesTen In-Memory Database 11g AMD64 Dual-Core 1.8GHz, 4 Processors, 16GB RAM; OEL 4.0 Linear Throughput Scaling Scale Up on Multi-Processor / Multi-Core Hardware Out of CPU resources Updates per Second Update Throughput 210,000 180,000 150,000 120,000 90,000 60,000 30,000 0 1 2 4 6 8 Number of Processes 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 Oracle TimesTen In-Memory Database Optimized 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 Client-Server Application TimesTen Client Lib Client/ Server Directly-Linked Application TimesTen Libraries JDBC / ODBC / OCI / Pro*c • Persistent and durable – Transactions with ACID properties – Flexible options for data persistence to disk Fast data access Checkpoint Files • Standard SQL and PL/SQL with – JDBC, ODBC, OCI, Pro*C – Data types compatible with Oracle Database Log Files Memory-Resident Database Transactional Replication High Availability and Instantaneous Failover 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 Application Transactions Application Reads on Hot Standby Active Standby TimesTen IMDB TimesTen IMDB Read-Only Subscribers Application Reads TimesTen Subscriber IMDB TimesTen IMDB TimesTen IMDB Active Active Topology Application Transactions Application Transactions Active Active TimesTen IMDB TimesTen IMDB Split Workload Oracle In-Memory Database Cache Accelerator 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 Client-Server Application TimesTen Client Lib Client/ Server TimesTen Libraries JDBC / ODBC / OCI / Pro*C • 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 Checkpoint Files Log Files Mid-Tier Server Automatic Synchronization 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 Reads Reads Reads Application Application In-Memory Database Cache In-Memory Database Cache Application In-Memory Database Cache Grid Member Automatic Synchronization Updates Example: Call Center App • Agent profiles pre-loaded in all grid members • Updates to agent profiles applied to Oracle Database Updatable Cached Tables • Content of cached tables pre-loaded or dynamically loaded Updates Updates – 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 Application Application In-Memory Database Cache In-Memory Database Cache Application In-Memory Database Cache Automatic Synchronization Mixed Caches • Read-only cached tables and updatable cached tables in the same In-Memory Database Cache • Cached tables may be preloaded 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 Application Application In-Memory Database Cache In-Memory Database Cache Application In-Memory Database Cache Automatic Synchronization Updates Highly Available Caches Highly-Available Cross-Tier Data Management Stack 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 Standby Replication Application In-Memory Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache In-Memory Database In-Memory Cache Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache Read-Only Subscribers Data Guard 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 •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 Incremental Scalability Globally Shared Caches New 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 Application Application In-Memory Database Cache In-Memory Database Cache Application In-Memory Database Cache Automatic Synchronization Updates Horizontal Scaling with In-Memory Database Cache Scale Out on Low Cost Hardware Updates Per Second 120,000 100,000 80,000 60,000 40,000 20,000 0 1 2 4 8 16 32 Number of Cache Grid Members Sun 5240 Servers – 2 Sockets, 8 cores/socket, 8 hdwr threads/core 64 Online Addition/Removal of Cache Nodes New Incremental Scalability • On-demand addition/ removal of cache nodes to match – Memory capacity needs – Computation capacity needs Application Application In-Memory Database Cache In-Memory Database Cache Application In-Memory Database Cache Application Application In-Memory Database Cache In-Memory Database Cache Minimal Application Changes Application Development ODBC SQL ttClasses OCI, Pro*C C/C++ PL/SQL 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 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 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 PL/SQL – Place an order – Process a quote Executed on Oracle DB Trading Application Trading Application In-Memory Database Cache PL/SQL Executed in IMDB Cache Accelerate Order Matching Application Lower Response Time and Higher Throughput Zero Downtime Integration with Oracle Clusterware New Automated 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 Read-Only Subscribers Active Standby Application Application In-Memory Database Cache In-Memory Database Cache In-Memory Database In-Memory Cache Database In-Memory Cache Database Cache Spare Nodes Shared Storage Integration with Oracle Data Guard Oracle Maximum Availability Architecture • Support Data Guard synchronous standby – Failover and switchover Application In-Memory Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache – Rolling upgrades Data Guard Primary DB Physical / Logical Standby DB Integration with Oracle Data Guard New Oracle Maximum Availability Architecture • Switchover / failover to standby Data Guard Application In-Memory Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache – Zero downtime – No data loss Primary DB Physical / Logical Standby DB Automatic Client Connection Failover Application • Available for Client / Server connections • Configurable by the application IMDB Cache Client Library Active Standby In-Memory Database Cache In-Memory Database Cache Automatic Client Connection Failover New 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) IMDB Cache Client Library Active Active In-Memory Database Cache In-Memory Database Cache Tools SQL Developer and Enterprise Manager Plug-In Same Tools for the Oracle Stack Application Application In-Memory Database Cache In-Memory Database Cache Application In-Memory Database Cache SQL Developer Oracle Enterprise Manager Customer Use Cases Proven in Real-Time Deployments Deployed by Thousands of Companies Smart Metering Operations IMDB Cache Reduces Hardware Expenses Smart meters • Complete meter, data & xact management at national level • Half-hourly data collection from every meter (47M) • Daily feedback • Requirement: Process Msg queue – 463 msg/sec at supplier level – 2167 msg/sec at national level Oracle DB Oracle 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 Application In-Memory Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache Application In-Memory Database In-Memory Cache Database Cache Server: HP Proliant server with 4 dual core AMD Opteron CPUs and 16GB of RAM 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 Application Application TimesTen In-Memory Database TimesTen In-Memory Database Application Application Application In-Memory Database Cache TimesTen In-Memory Database TimesTen In-Memory Database Flight Schedules Seat Assignments Monthly Fare Update 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 EAST RAC WEST RAC • 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 Primary connections to IMDB Cache Backup connections to IMDB Cache Oracle Data Guard Site Availability Low Latency + Local Redundancy 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 App IMDB Cache IMDB Cache Active Standby IMDB Cache IMDB Cache Subscriber Subscriber 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 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