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SQL queries that retrieve all rows of a table are useful for database browsing and reports, but for little else. Usually you'll want to select only some of the rows in a table and include only these rows in the query results. The WHERE clause is used to specify the rows you want to retrieve. Here are some examples of simple queries that use the WHERE clause: Show me the offices where sales exceed target. SELECT CITY, SALES, TARGET FROM OFFICES WHERE SALES > TARGET CITY -----------New York Atlanta Los Angeles SALES ----------$692,637.00 $367,911.00 $835,915.00 TARGET ----------$575,000.00 $350,000.00 $725,000.00

The star schema at the top of Figure 4-1 attempts to address the requirements using a single fact table: sales_facts. It contains the facts quantity_ordered and quantity_shipped. Attributes of the associated dimension tables have been omitted from the illustration. The grain of this fact table requires that orders, shipments, or both be recorded by day, product, and customer. This might also be stated as shipments and/or orders. The presence of and/or in a statement of grain is usually a sign of problems to come, as you will see shortly.

Microsoft has allowed external developers to access various portions of the SQL Server 7 API. Table 4-12 lists the various APIs available. Although most users will not need to

SALES_FACTS day_key 123 123 123 456 456 789 customer_ key 777 777 777 777 777 777 product_ key 111 222 333 111 222 222 quantity_ ordered 100 200 50 0 0 0 quantity_ shipped 0 0 0 100 75 125

Notes Can be used for creating customized packages that modify, import and export data. Adds the benefits of working with languages such as Visual C++. Provides greater control over the replication process for use in custom applications. Can be used to start, stop, and pause SQL Server services.

Show me the name, sales, and quota of employee number 105. SELECT NAME, SALES, QUOTA FROM SALESREPS WHERE EMPL_NUM = 105 NAME ----------Bill Adams SALES ----------$367,911.00 QUOTA ----------$350,000.00

Figure 4-1

Open Data Services API Creating SQL Server extended stored procedures Replication Component Programming API SQL Control Manager (SCM) Setting up and managing SQL Server replication Controlling SQL Server services

Show me the employees managed by Bob Smith (employee 104). SELECT NAME, SALES FROM SALESREPS WHERE MANAGER = 104 NAME -----------Bill Adams Dan Roberts Paul Cruz SALES ----------$367,911.00 $305,673.00 $286,775.00

To determine how well this star supports analysis of orders and shipments, it is necessary to look inside the fact table The lower half of Figure 4-1 shows several rows of data from sales_ facts The first three columns are foreign keys that refer to the dimension tables Although these keys carry no intrinsic meaning, values have been chosen for this example to make them easy to distinguish from one another All six of the sample rows are for the same customer, identified by customer_key 777 For the purposes of this discussion, the customer will be called customer 777 In reality, surrogate keys do not have any intrinsic meaning, but this will make the example easier to follow The first three rows identify orders that took place on the same day, as identified by day_key 123 We will call this day day 123.

SQL Data Manipulation Managing and modifying Useful for creating custom SQL Server configuration SQL Server administration Objects (SQL-DMO) and settings and management tools.

On that day, customer 777 ordered three different products, which we will refer to as product 111, product 222, and product 333 These three rows of orders provide a dilemma What values should be placed in the quantity_shipped column There were no shipments on day 123 Two possibilities are to record NULL values, or to record values of 0 For the time being, assume that a zero is recorded for quantity_shipped when there is an order but no shipment on a particular day Continuing down the table of sample rows, notice that the next two rows describe activity for the same customer on day 456 On that day, shipments occurred for products 111 and 222 On this day, the converse situation exists: there are shipments of products to customer 777 but no orders In this case, the value 0 is recorded for quantity_ordered.

Table 4-12.

The WHERE clause consists of the keyword WHERE followed by a search condition that specifies the rows to be retrieved. In the previous query, for example, the search condition is MANAGER = 104. Figure 6-5 shows how the WHERE clause works. Conceptually, SQL goes through each row of the SALESREPS table, one-by-one, and applies the search condition to the row. When a column name appears in the search condition (such as the MANAGER column in this example), SQL uses the value of the column in the current row. For each row, the search condition can produce one of three results: