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The MODEL clause creates the multidimensional arrays that are at the heart of its functionality by mapping all the columns of the query that contains a MODEL clause into the following three groups. Partitions: Basically, a partition is a result handed to the MODEL clause by previous grouping operations. The MODEL clause is always separately applied to the data within each partition. Dimensions: A dimension is a layer of metadata you can apply to a table to define hierarchical relationships among the table s columns. For example, a dimension named REGION could contain the hierarchy of STATE, COUNTY, and CITY. You may define several dimensions on a table, such as region, time, and product. Measures: Measures are the fact table data on which you are modeling your report, such as sales or inventories. You can look at the aggregate measure as consisting of a bunch of measure cells, with each of the cells identified by a unique combination of dimensions. For example, if sales is your measure, then the sales of detergents for the third quarter of 2008 in the New York region is one cell of the measure, since you can have only one such unique combination of your three dimensions: product (detergents), time (third quarter of 2008), and region (New York region). The next section looks at how the MODEL feature uses rules to modify your multidimensional array data.

CHUNK 8192 PCTVERSION 10 NOCACHE A full storage clause This implies there is a lot going on in the background with LOBs, and in fact there is. A LOB column always results in what I call a multisegment object, meaning the table will use multiple physical segments. If we had created that table in an empty schema, we would discover the following: ops$tkyte@ORA10G> select segment_name, segment_type 2 from user_segments; SEGMENT_NAME -----------------------------SYS_C0011927 SYS_IL0000071432C00002$$ SYS_LOB0000071432C00002$$ T SEGMENT_TYPE -----------------INDEX LOBINDEX LOBSEGMENT TABLE

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A rule in the context of the MODEL clause is any business rule or formula you want to apply to the array data created by the MODEL clause. You may, for example, use a formula to forecast next year s sales on the basis of the preceding two years sales data. You create a simple forecasting formula that expresses your business reasoning, and then pass it along to the MODEL clause as a rule. You use the keyword RULES to indicate that you are specifying the rules that the MODEL clause must apply to its multidimensional array data. For example, you could specify a simple rule as follows: MODEL . . . RULES . . . (sales['ProductA', 2009] = sales['ProductA', 2007] + sales['ProductA', 2008] . . .

Additionally, we ll use MONTHS_BETWEEN to subtract the integer number of months between the two dates from the larger of the two dates to get down to the days and hours between them: ops$tkyte%ORA11GR2> select numtoyminterval 2 (trunc(months_between(dt2,dt1)),'month') 3 years_months, 4 numtodsinterval 5 (dt2-add_months( dt1, trunc(months_between(dt2,dt1)) ), 6 'day' ) 7 days_hours 8 from (select to_date('29-feb-2000 01:02:03','dd-mon-yyyy hh24:mi:ss') dt1, 9 to_date('15-mar-2001 11:22:33','dd-mon-yyyy hh24:mi:ss') dt2 10 from dual ) 11 / YEARS_MONTHS DAYS_HOURS --------------- -----------------------------+000000001-00 +000000015 10:20:30000000000 Now it is clear that there is 1 year, 15 days, 10 hours, 20 minutes, and 30 seconds between the two DATEs..

An index was created in support of the primary key constraint that is normal but what about the other two segments, the lobindex and the lobsegment Those were created in support of our LOB column. The lobsegment is where our actual data will be stored (well, it might be stored in the table T also, but we ll cover that in more detail when we get to the ENABLE STORAGE IN ROW clause). The lobindex is used to navigate our LOB, to find the pieces of it. When we create a LOB column, in general what is stored in the row is a pointer, or LOB locator. This LOB locator is what our application retrieves. When we ask for bytes 1,000 through 2,000 of the LOB, the LOB locator is used against the lobindex to find where those bytes are stored, and then the lobsegment is accessed. The lobindex is used to find the pieces of the LOB easily. You can think of a LOB then as a master/detail sort of relation. A LOB is stored in chunks or pieces, and any piece is accessible to us. If we were to implement a LOB using just tables, for example, we might do so as follows: Create table parent ( id int primary key, other-data... ); Create table lob ( id references parent on delete cascade, chunk_number int, data <datatype>(n), primary key (id,chunk_number) );

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