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Total sales of ProductA in 2009 are forecast as the sum of ProductA sales in the years 2007 and 2008. Total sales of ProductB in the year 2009 are forecast to be the same as the sales in 2008. Total product sales in 2009 are computed as the sum of the ProductA and ProductB sales in 2009. Here s the output generated by using the preceding SQL statement with the MODEL clause: COUNTRY -------Mexico Mexico Mexico Mexico Mexico Mexico Mexico Mexico Mexico Canada Canada Canada Canada Canada Canada Canada Canada Canada PRODUCT -----------ProductA ProductA ProductA ProductA ProductB ProductB ProductB ProductB All_Products ProductA ProductA ProductA ProductA ProductB ProductB ProductB ProductB All_Products YEAR ----2006 2007 2008 2009 2006 2007 2008 2009 2009 2006 2007 2008 2009 2006 2007 2008 2009 2009 SALES --------2474.78 4333.69 4846.3 9179.99 15215.16 29322.89 81207.55 81207.55 90387.54 2961.3 5133.53 6303.6 11437.13 22161.91 45690.66 89634.83 89634.83 101071.96

This is a new optional process of the Oracle 10g database. The CTWR process is responsible for maintaining the new change tracking file, as described in 3.

The TABLESPACE specified here is the tablespace where the lobsegment and lobindex will be stored, and this may be different from the tablespace where the table itself resides. That is, the tablespace that holds the LOB data may be separate and distinct from the tablespace that holds the actual table data.

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The SELECT clause first retrieves the product, year, and sales data for the two countries (Mexico and Canada) and feeds it into the MODEL clause. The MODEL clause takes this raw data and rearranges it into a multidimensional array, based on the values of the PARTITION BY (country) and DIMENSION BY (product and year) clauses. After the MODEL clause creates the array, it applies the three formulas listed under the RULES clause to the data. It finally produces the resulting row data, after ordering it by country, product, and year. Note that the MODEL clause shows the original table or view data, as well as the new data that the MODEL clause has calculated.

As companies grow, it becomes important to be able to share information among multiple databases and applications. Disparate information-sharing technologies add to the burden of effectively replicating data. The Oracle Streams feature provides a single unified solution for information sharing across the enterprise.

This process, another new optional process of the Oracle 10g database, is responsible for maintaining the before images of blocks in the Flash Recovery Area (described in 3) used with the FLASHBACK DATABASE command.

The main reasons you might consider using a different tablespace for the LOB data versus the table data relate mainly to administration and performance. From the administrative angle, a LOB datatype represents a sizable amount of information. If the table had millions of rows, and each row had a sizeable LOB associated with it, the LOB data would be huge. It would make sense to segregate the table from the LOB data just to facilitate backup and recovery and space management. You may well want a different uniform extent size for your LOB data than you have for your regular table data, for example. The other reason could be for I/O performance. By default, LOBs are not cached in the buffer cache (more on that later). Therefore, by default every LOB access, be it read or write, is a physical I/O a direct read from disk or a direct write to disk.

When you use Oracle Streams, each unit of information is called an event, and you share these events in a stream A stream routes specified information to specified destinations The Oracle Streams feature captures changes occurring in the database, using both the active and archived redo logs Streams capture these changes and store them in queues, after proper formatting Streams then propagate these changes to other databases and apply them to the target databases Using the Oracle Streams feature, you can capture, propagate, and apply information within an Oracle database, between two Oracle databases, among multiple Oracle databases, or between an Oracle database and a nonOracle database Using Streams, you can transform the streams of data at any of the three points: during capture of data, during propagation to the target, and during application at the destination site.

The events may include messages queued into a database queue by applications as well as DML and DDL changes You can use Oracle Streams for the following applications: Data replication: You can use Oracle Streams to capture changes from a source database, stage and propagate these changes to a target databases, and consume or apply the changes to the target database Advanced message queuing: The Oracle Streams Advanced Queuing (AQ) feature lets you enqueue messages into a queue, propagate messages to subscribing queues, notify user applications that messages are ready for consumption, and dequeue messages at their destination Event management and notification: The ability to capture events and propagate them based on rules lets you use Oracle Streams for event notification.

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