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Information When and Where It's Needed with Oracle Database 10g
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Information When and Where It's Needed with Oracle Database 10g


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  • 9i Oracle Streams 9i Message Gateways 8i Enterprise/Generic Gateways 8i Rules Engine 8.0 Advanced Replication 8.0 Heterogeneous Services 8.0 Publish/Subscribe 8.0 Advanced Queuing 7.1 Symmetric Replication 7.1 Updateable Snapshots (Replication) 7.0 Remote Procedure Calls 7.0 Read Only Snapshots (Replication) 6.0 Gateways to 3 rd Parties 6.0 Distributed Transactions 5.1 Location Transparency 5.1 Distributed Query
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  • Oracle Streams makes the complicated simple. It provides greater functionality and flexibility than traditional solutions for sharing information with other databases and applications. It satisfies the information sharing needs of most customers with a single integrated solution. This integrated solution allows customers to break the cycle of trading off one solution for another. They can utilize all the capabilities of Streams at the same time. Should their needs change, Oracle Streams will adapt to meet their requirements. Streams provides a set of elements. Using these elements, users control putting information into a stream, the stream’s flow or route from node to node, and the action as the stream terminates. By specifying the configuration of the elements acting on the stream, a user can address specific requirements. The architecture of Oracle Streams is very flexible. Streams contains three basic elements: Capture - Streams supports capture of events (database changes, and application generated messages) into the staging area. Staging, including optional transformation - Once captured, events are placed in a staging area. The staging area is a queue that provides a service to store and manage captured events. Staging provides a holding area with security, as well as auditing and tracking of LCR and user-messages. Consumption - Messages in a staging area are consumed by the apply engine, or they are explicitly dequeued and consumed by an application.
  • Data Pump: Quickly migrate from one platform to another (10x) Transport: Bulk move tablespaces and databases across heterogeneous environments Streams: Unplug and plug your data, stream delta updates 50% faster than before Easy migration from SMP to Clustered Linux Easy migration to the Grid
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  • Transcript

    • 1.  
    • 2. Information When and Where It's Needed with Oracle Database 10 g Bob Thome Senior Manager, Distributed Database Oracle Corporation Session id: 40149
    • 3. Oracle Database 10 g – The Database for Grid Computing
      • Better information faster
        • Spread work across more resources
        • Access to resources on demand
      • Easy alignment of IT resources with business needs
        • Dynamic allocation of resources as needed
      • Reduced IT costs
        • Improve utilization of existing resources
        • Utilize less expensive commodity platforms
        • Consolidate resources to reduce management costs
    • 4. Virtual Computing Resources
      • The Grid enables virtualization of resources across servers, data centers, and enterprises
      • Types of virtual resources
        • Network
        • Storage
        • CPU
        • Data
      • Provisioning technologies the key to unlocking the virtual resources on the Grid
    • 5. Data Provisioning
      • Provides access to data when and where you need it
      • Optimizes information access regardless of physical location of data
      • Integrates information in distributed environments
      • Enables virtualization of data in Grids
    • 6. Oracle Data Provisioning 1986 2002 Oracle Streams Message Gateways Enterprise/Generic Gateways Rules Engine Advanced Replication Heterogeneous Services Publish/Subscribe Advanced Queuing Symmetric Replication Updateable Snapshots (Replication) Remote Procedure Calls Read Only Snapshots (Replication) Gateways to 3 rd Parties Distributed Transactions Location Transparency Distributed Query Grid Computing
    • 7. Methods of Data Provisioning
      • Consolidate Information
      • Federate Information
      • Share Information
    • 8. Methods of Data Provisioning
      • Consolidate Information
      • Federate Information
      • Share Information
    • 9. Consolidate Information
      • Consolidate heterogeneous data into a central database
        • Any data (audio, video, XML, email, messages, etc…)
        • Any platform (Linux, Windows, Solaris, HPUX, AIX, Tru64, OpenVMS, OS/390)
        • Proven scalability
          • Hundreds of Very Large Database customers
          • Industry leading benchmarks
    • 10. Benefits of Consolidation
      • Simplest form of Data Provisioning
      • Lower administration costs
        • Fewer servers and databases to manage
      • Faster application deployment
        • Deploy application once, at central server
      • Faster access to global data
        • Queries and DML run faster against centralized data
    • 11. Features
      • Massive database support
      • Real Application Clusters (RAC)
      • XML Database
      • Virtual Private Database
      • Partitioning
      • LOBs and BFILEs
      • Loading and migration tools
      • And many more…
    • 12. Massive Database
      • Ultra large database: 8 Million Terabytes
      • Ultra large number of Tablespaces or Files: 64K
        • Tablespaces become tapes in a tape rack
      • Ultra large data files: 4 Terabytes in a single file
      • Ultra large LOB columns: 8 Gigabytes * blocksize
        • Essentially unbounded, can store any object
      • Proven scalability: Hundreds of VLDB customers
    • 13. Methods of Data Provisioning
      • Consolidate Information
      • Federate Information
      • Share Information
    • 14. Federate Information
      • Federate data in multiple data stores into a single virtual database
        • Access both Oracle and non-Oracle data
        • Access both structured and unstructured data
        • Hide physical location of data from applications
    • 15. Benefits of Federation
      • Fast provisioning
        • Simple changes yield immediate results
      • Supports provisioning of data that cannot be consolidated
        • Legacy applications
        • Data requiring local ownership
      • Ad Hoc provisioning to infrequently accessed data
    • 16. Features
      • Multiple access methods
        • Distributed SQL
        • XQuery
      • Any data source
        • Oracle and non-Oracle data stores
        • External files
        • Web services
      • Advanced indexing technology
      Oracle DB2 XML Excel Flat Files Text Web Services
    • 17. Access Remote Databases with Distributed SQL
      • Access remote data store transparently
        • DB Links hide location of remote data store
      • Access multiple data stores as single DB
        • Tables in multiple remote databases appear local
      • Perform distributed transactions
        • automatic two-phase commit
        • distributed SQL optimizations
    • 18. Access Data with XQuery
      • Query structured and semi-structured data
        • Relational Data
        • Native XML files
      • Reduce application complexity
      • XQuery support evolving with emerging standard
    • 19. Access Oracle and non-Oracle Data Stores
      • Heterogeneous data integration built into the Oracle database
        • SQL Translation
        • Data Dictionary Translation
        • Procedure execution on non-Oracle system
      • Transparent Gateways
        • Available for most major non-Oracle data stores (e.g., DB2, SQL Server, Sybase, etc.)
        • Optimized, certified, end-to-end support
      • Generic Connectivity
        • Gateway to any 3 rd -party ODBC or OLEDB driver
    • 20. Access External Files
      • Access native XML Files
        • Query via XQuery or SQL
      • Access proprietary file types via filters
        • Transform into XML files
        • Over 100 file types supported by supplied filters
      • Access external tables
        • Map data in external files into tables
    • 21. Database Web Services
      • Web services consumer
        • Java classes, PL/SQL, triggers call external services
        • Web services viewed as SQL data source
      • Web services provider
        • Query database via web service
        • Perform messaging operations
        • DML Web Services
        • Call PL/SQL, Java
      • Full XML support in database
    • 22. Access Web Services as a SQL Data Source
      • Built-in support for access to web services data
      • Track, aggregate, refresh, and query dynamic data and data produced on demand
      Web Service Client Framework (SOAP) Database Module (Web Service Client) SELECT city_name, temp, low_temp, high_temp FROM TABLE (Temp_TF) SOAP Request/Response HTTP Client Stack Web Service Provider (e.g., Weather Service) Table Function New
    • 23. Locate Information with UltraSearch
      • Oracle Ultra Search indexes documents across multiple repositories
        • Oracle and non-Oracle databases, HTML web pages, files on disk, IMAP mail servers, and more
      • Search document meta-data as well as content
      • “ Normalize” meta-data across multiple data stores
      • Crawl Oracle databases and others that support ODBC standard
    • 24. Federation in Action
      • Hong Kong Ministry of Education
      • Integrate legacy Sybase applications with new packaged applications running Oracle
      • Must keep data synchonized in real-time
      • Solution: Transparent Gateway
      Oracle Sybase Package App Legacy App
    • 25. "Oracle Distributed SQL allows us to effortlessly update data in multiple databases as a single distributed transaction… reducing the burden on our application developers." - Charles Farnell, Venture Forth
    • 26. Methods of Data Provisioning
      • Consolidate Information
      • Federate Information
      • Share Information
    • 27. Share Information
      • Share information between users, applications, and databases
        • Move or copy information as needed
        • Traditionally implemented as replication or message queuing
        • Has evolved to include warehouse loading, event notification, workflow, and EAI
    • 28. Benefits of Sharing
      • Greater flexibility
        • Locate data where you want it
        • Control access
        • Share information with business partners
      • Faster access to local data
        • Queries and DML run faster against smaller, local data store
      • Higher Availability
        • Applications not dependent on availability of remote data stores
    • 29. Information Sharing Features
      • Streams
        • Message Queuing
        • Replication
        • Workflow
        • Much more
      • Materialized Views
      • Transportable Tablespaces
      • Data Pump
    • 30. Eliminate Complexity with Oracle Streams
      • Unifies all enterprise information into a single Stream
        • Unifies database, messaging, replication, publish/subscribe APIs and capabilities
      • Avoids inherent problems with multiple technologies:
        • Multiple development models
        • Multiple operational models
        • Builders do the integration
      • Not just a unified branding of different features
    • 31. Unified Infrastructure for Information Sharing Rules based Publish/ Subscribe Propagation Directed and Subset Information Streams In stream Transformations Automated Capture Data Changes Database Events Application Messages Data Feeds Data Warehouses and Data Marts Updateable Replicas Messaging Applications Standby Databases Operational Data Stores Intelligent, Unified, Time Ordered Information Stream
    • 32. More than the Sum of Parts
      • Streams supports arbitrary Information Integration
      • Example: Brokerage combines database changes with wire service feeds
        • Staging areas subscribe to integrated stream
        • Application dequeues to power trader workstations
      Captured Database Events Enqueued Business Events Analysis of ALL Events
    • 33. Stream a File or Database
      • Oracle Streams can move any file
        • OS File, BFILE, Database File (tablespace)
      • Create a replica with a single command
        • Select tablespaces to replicate and DB Link
        • Automatically create a synchronized copy
          • Tracks changes at source
          • Transports tablespaces
          • Applies changes to destination
      • Easy to extend/modify configuration
        • Apply changes from replica to production database
        • Add data transformations
      • Offload processing or migrate to the grid
    • 34. Grid migration with no downtime
      • Migrate to the Grid
        • Single command moves your database
      • Migrate between different platform/OS
        • Cross-platform transportable tablespaces move data to new database
      • No downtime
        • Capture changes at source during migration
        • Update new database
        • Repoint applications
    • 35. Oracle10 g Streams Features
      • Downstream Capture
      • Performance Improvements
      • Manageability Improvements
      • Row Migration enhancements
      • Expanded datatype support
      • RAC Hot mining and failover
      • Simplified messaging APIs
      • Batch Enqueue/Dequeue of messages
      • Automatic preparation for Explicit Dequeue of messages
      • Tibco Messaging Gateway
    • 36. Share Data with Materialized Views
      • Data warehousing
        • Compute and store aggregated data, such as sums or averages, for faster queries
      • Mobile computing
        • Easy mass deployment
        • Disconnected computing
      • Replication
        • Incrementally maintain local subset of data
        • Read-only or updateable with conflict resolution
      NY (master) Updateable Materialized Views
    • 37. Transportable Tablespaces
      • Unplug and plug database data files
        • Move and share data without unload and reload
        • Plug/unplug performance independent of tablespace size
        • Mount read-only tablespaces on multiple databases
        • Cross-platform support
        • Rename Tablespaces
      24 New OS copy File 1 File 2 expdat.dmp File 1 File 2 expdat.dmp
    • 38. Data Pump
      • High speed, parallel, bulk data and metadata movement of Oracle database contents
        • Throttle parallelism up or down, stop and restart
        • Network mode requires no intermediate dump file
      • Flexible tool for moving or copying subsets of database in the Grid
        • Flexible object selection transfers specific objects
        • Remaps schemas, datafiles and tablespaces
        • Interactively add files to dump set
      • Streams compatible
        • Export objects to new database and use Streams to synchronize
    • 39. Data Sharing with Streams: Internet Securities, Inc.
      • Internet Securities, Inc ( provides Internet-delivery of emerging market news and business information
      • Over 1 Terabyte of content from over 4400 publications (retained since 1988)
      • Growing by 10,000 documents per day
      • Documents indexed using Oracle Text
      • Increasing customer demand required performance and availability improvements
    • 40. Data Sharing with Streams: Internet Securities, Inc.
      • Replica of Search database maintained using Oracle Streams to improve performance and availability
      • Queries execute in half the time or better
      • Switchover in case of failure is instantaneous
      • Can scale to additional replicas as demand grows
      Streams Search DB Search DB
    • 41. "Streams proved to deliver all the functionality we wanted for a large scale database replication solution."
      • W. Les Wozniak, Rosetta Biosoftware
    • 42. Provisioning Data in the Grid Clustered database Instances SAN 1 SAN 2 SAN 3 SAN 4 Blade Rack Network
    • 43. Summary
      • Oracle supports efficient provisioning of data resources:
        • Consolidate Information—Scalable access to large amounts of information
        • Federate Information—Data can be located where needed but accessed as single database
        • Share Information—Multiple users and applications can share data/information to operate more effectively
    • 44. A Q & Q U E S T I O N S A N S W E R S
    • 45.