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The SQL2 standard defines a query expression as the full, general-purpose way that you can specify a table of query results in the SQL2 language. The basic building blocks you can use to build a query expression are: A query specification, as described in the preceding section (SELECT FROM ). Its value is a table of query results. A table value constructor, as previous described (VALUES ). Its value is a table of constructed values. An explicit table reference (TABLE tblname). Its value is the contents of the named table. Using these building blocks, SQL2 lets you combine their table values using the following operations: JOIN. SQL2 provides explicit support for full cross-product (cross-join), natural join, inner joins, and all types of outer joins (left, right, and full), as described in 6. A join operation takes two tables as its input, and produces a table of combined query results according to the join specification. UNION. The SQL2 UNION operation provides explicit support for merging the rows of two compatible tables (that is, two tables having the same number of columns and with corresponding columns having the same data types). The union operation takes two tables as its input and produces a single "merged table" of query results. DIFFERENCE. The SQL2 EXCEPT operation takes two tables as its input and produces as its output a table containing the rows that appear in the first table but do not appear in another table that is, the rows that are "missing" from the second table. Conceptually, the EXCEPT operation is like "table subtraction." The rows of the second table are "taken away" from the rows of the first table, and the answer is the remaining rows of the first table.

Notes Offers products and services for supporting advanced features in Windows 2000 and SQL Server 7. Features products that are created for use with Windows NT Enterprise Edition and Microsoft Cluster Services. Provides high-end servers and storage solutions for large SQL Server installations. Provides server hardware and services for implementing clustered environments.

One final consideration for the design of accumulating snapshots has to do with type 2 changes The accumulating snapshot should contain only one row per natural key value found in the dimension that defines its grain When the dimension undergoes a type 2 change, the surrogate key in the fact table should be updated with the most current value Use of the natural key in the fact table is not advisable; such an approach can easily lead to double-counting As you have learned, the grain of the accumulating snapshot is one row per thing, or instance of an entity, that moves through the process This thing will be represented by a row in a dimension table The subject of intense scrutiny, this thing will probably be closely monitored for changes, too.

Table 8-4.

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When a type 2 change occurs, the thing that is being processed has more than one row in the dimension table A mortgage application that has undergone a type 2 change, for example, has two rows in the application dimension Each has its own surrogate key, but they share the same natural key Though the dimension table may carry more than one for a given natural key, the accumulating snapshot should contain only one The fact table grain calls for one row per instance of the entity being tracked, not more than one Mortgage_processing_facts, for example, must have one row per mortgage application Carrying two or more rows would either cause double-counting or defeat the purpose of avoiding the correlated subquery Whenever the defining dimension of an accumulating snapshot undergoes a type 2 change, the corresponding row in the fact table should be updated with the most recent surrogate key.

there s still more to be desired in the realm of clustering in Windows NT/2000-based environments, including the following: w s s v Support for more nodes in fail-over configurations Support for load balancing at the application level (to decrease the costs associated with implementing clusters and improve overall performance) Easier setup Improved reliability

When a type 2 change is logged against a mortgage application, for example, the row in the accumulating snapshot for that application is updated to contain the surrogate key for the new version This is not as onerous as its sounds, since the ETL process must revisit each row of the accumulating snapshot on a regular basis anyway By using the most recent surrogate key, you associate the entire history of the process with the current view of the thing being processed Since the fact table will have only one row per natural key, you might be tempted to use the natural key in the fact table instead of a surrogate key Although this may seem logical at first, a closer look reveals that this approach can only lead to disaster.

INTERSECT. The SQL2 INTERSECT operation takes two tables as its input and produces as its output a table containing the rows that appear in both input tables.