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In many cases, the information you receive through Enterprise Manager will be what you re looking for in regard to storage. However, SQL Server includes built-in stored procedures that can be used for showing information about files and filegroups using Transact-SQL. Here are some commands that can be used to find more information about files and filegroups: Command sp_helpdb sp_helpfile sp_helpfilegroup sp_spaceused Information Displayed Database size and configuration Data file details Filegroup details Space used by the database and free space remaining

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When the source of a dimension value changes, and it is not necessary to preserve its history in the star schema, a type 1 response is employed. The dimension is simply overwritten with the new value. This technique is commonly employed in situations where a source data element is being changed to correct an error. By overwriting the corresponding dimension in the star schema, the type 1 change obliterates the history of the data element. The star carries no hint that the column ever contained a different value. While this is generally the desired effect, it can also lead to confusion. If there were any associated facts before the change occurred, their historic context is retroactively altered.

Figure 6-5 shows the results of running a system-stored procedure using SQL Query Analyzer against a sample database that spans multiple filegroups.

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Recall, for example, the change in date of birth for Sue Johnson According to Figure 3-6, Sue Johnson was initially recorded as having a birth date in 1961 Later, her date of birth was updated to show she was born in 1971 People s birth dates do not change, so when this information was updated in the source system, it was presumably the correction of an error Assume that a star schema has been developed to track the orders process, with a dimension table called customer This table carries the customer_id as a natural key, and also has columns for the customer s name, date of birth, and state of residence The top portion of Figure 3-7 shows the state of affairs in the star schema before any changes have occurred In the customer dimension table, there is a row for Sue, which is highlighted.

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specific function. SQL-based databases can store various types of data, including text, integers, decimal numbers, floating point numbers, and usually many more vendor-specific data types. SQL statements can include expressions that combine column names, constants, and built-in functions, using arithmetic and other vendor-specific operators. Variations in data types, constants, and built-in functions make portability of SQL statements more difficult than it may seem at first. NULL values provide a systematic way of handling missing or inapplicable data in the SQL language.

You can see that this row contains the customer_id 990001 This is a natural key column; it identifies the record for Sue in the source system There is also a surrogate key called customer_key, which contains the value 1499 Sue s date of birth is shown as 3/2/1961, and her state is shown as AZ Presumably, there are numerous other columns in the customer table that are not shown in the picture Just below this table, still in the top half of Figure 3-7, a row from a fact table is shown The customer_key in this row is 1499, which refers to Sue s record in the customer dimension table You can interpret this row as follows: on the date represented by day_key 2322, Sue bought five units of whatever product is represented by product_key 10119.

Now that we know how to create files and filegroups, it s time to take advantage of these storage options. To specify storage options when creating database tables in Enterprise Manager, follow these steps: 1. Select and expand the database in which you want to create the table. 2. Right-click Tables and select New Table. 3. When prompted, enter a name for the table. 4. To specify storage options for this object, click the Table and Index Properties button on the toolbar. 5. Specify the settings for the filegroup to be used by your table:

In many ways, queries are the heart of the SQL language. The SELECT statement, which is used to express SQL queries, is the most powerful and complex of the SQL statements. Despite the many options afforded by the SELECT statement, it's possible to start simply and then work up to more complex queries. This chapter discusses the simplest SQL queries those that retrieve data from a single table in the database.

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