Example Process Flows Configure the SQL Join Transformation 155 The number that you specify in the OBS= option should be high enough so that the transformations in the job will be able to execute successfully; that is, the transformations will have enough data on which to perform their operations. 7 Click OK to save the OBS= option. 8 Click OK to save your changes in the job properties window. Note: All inputs in the current job will be limited to the number of data rows that you specified in the OBS= option until you disable this option. One way to disable a pre-processing option is to (a) deselect the Pre Processing check box on the Pre and Post Process tab, and (b) save the job and close the Process Designer window. For more information about setting options on the Pre and Post Process tab in the job properties window, see “Adding SAS Code to the Pre and Post Processing Tab” on page 225. Configure the SQL Join Transformation Specify Column Mappings In this section, you will map some columns from the source tables to columns in the temporary output table for the SQL Join transformation. The goal is to map only the columns that are required for the report that you want to create, as shown in Display 10.1 on page 150. The required columns are Employee_Name, Employee_ID, Job_Title, Company, Department, Section, Org_Group, and Total_Retail_Price. Follow these steps to specify column mappings for the SQL Join transformation: 1 In the Process Designer window, select the SQL Join transformation object. Then select File Properties from the menu bar. A properties window displays. 156 Configure the SQL Join Transformation Chapter 10 2 Click the Mapping tab. By default, the SQL Join transformation maps all columns in the source tables to the same columns in the temporary output table, as shown in the following display. Display 10.5 SQL Join Mapping Tab: Before Extra Columns Are Deleted However, you need only some of these columns for the report that you want to create. You can simplify the transformation by deleting the metadata for any unneeded columns in the target table. Example Process Flows Configure the SQL Join Transformation 157 3 In the Target Table pane on the Mapping tab, press the CTRL key, left-click the name of each column to be deleted, and select Delete from the pop-up menu. When you are finished, the Mapping tab will resemble the following display. Display 10.6 SQL Join Mapping Tab: After Extra Columns Are Deleted 4 Click Apply to save your changes without closing the properties window. 5 (Optional) To see how the SQL code is updated based on the contents of the Mapping tab and other tabs in the SQL Join transformation, click the SQL tab. The code on the SQL tab should resemble the following sample: SELECT ’ORGANIZATION_DIM’n.’Employee_ID’n, ’ORGANIZATION_DIM’n.’Company’n, ’ORGANIZATION_DIM’n.’Department’n, ’ORGANIZATION_DIM’n.’Section’n, ’ORGANIZATION_DIM’n.’Org_Group’n, ’ORGANIZATION_DIM’n.’Job_Title’n, ’ORGANIZATION_DIM’n.’Employee_Name’n, ’ORDER_FACT’n.’Total_Retail_Price’n FROM ’orstar’n.’ORGANIZATION_DIM’n INNER JOIN ’orstar’n.’ORDER_FACT’n ON (’ORDER_FACT’n.’Employee_ID’n = ’ORGANIZATION_DIM’n.’Employee_ID’n) The previous SQL statement selects the mapped columns from the ORGANIZATION_DIM and ORDER_FACT tables and joins the result on the Employee_ID column. Change One Column to a Calculated Column The Total_Retail_Price column from the ORDER_DETAIL table contains the price for a particular item that was sold by an employee. However, the report that you want to create shows the total sales for each employee. (See Display 10.1 on page 150.) 158 Configure the SQL Join Transformation Chapter 10 Perform these steps to change the Total_Retail_Price column into a derived column (calculated column) that totals all sales for each employee: 1 In the Target Table pane on the right of the Mapping tab, scroll to the Total_Retail_Price column. 2 Click twice in the Expression attribute for Total_Retail_Price. Then click again in the icon that appears on the right side of the field. This action displays the Expression Builder, which will be used to enter the expression that will summarize individual sales into a total revenue number for each salesperson. 3 In the Expression Builder window, on the Functions tab, select the All Functions folder. A list of SAS functions is displayed. 4 Scroll to the SUM(argument) function, select it, and click Insert. The SUM(argument) function appears in the Expression Text area of the Expression Builder. The argument portion of the expression is selected. The next step is to supply the argument: a column name whose contents are to be summed. 5 Click the Data Sources tab in the Expression Builder. A list of tables that are inputs to the current transformation appears. 6 Expand the icon for the ORDER_FACT table, select the Total_Retail_Price column, and click Insert. The completed expression appears in the Expression Text pane in the Expression Builder, as shown in the following display. Display 10.7 Completed SUM Expression Example Process Flows Configure the SQL Join Transformation 159 7 Click OK to save the expression. The Expression Builder window closes. The expression appears in the Expression column on the Mapping tab, as shown in the following display. Display 10.8 SQL Join Mapping Tab With a SUM Expression 8 Click Apply to save your changes without closing the properties window. 9 (Optional) To see how the SQL code is changed by the expression that you just defined, click the SQL tab. The code on the SQL tab should resemble the following sample: SELECT ’ORGANIZATION_DIM’n.’Employee_ID’n, ’ORGANIZATION_DIM’n.’Company’n, ’ORGANIZATION_DIM’n.’Department’n, ’ORGANIZATION_DIM’n.’Section’n, ’ORGANIZATION_DIM’n.’Org_Group’n, ’ORGANIZATION_DIM’n.’Job_Title’n, ’ORGANIZATION_DIM’n.’Employee_Name’n, SUM(’ORDER_FACT’n.’Total_Retail_Price’n) format=8. AS ’Total_Retail_Price’n FROM ’orstar’n.’ORGANIZATION_DIM’n INNER JOIN ’orstar’n.’ORDER_FACT’n ON (’ORDER_FACT’n.’Employee_ID’n = ’ORGANIZATION_DIM’n.’Employee_ID’n) The previous SQL statement selects the mapped columns from the ORGANIZATION_DIM and ORDER_FACT tables, summarizes the contents of the Total_Retail_Price column, and joins the result on the Employee_ID column. . the transformation by deleting the metadata for any unneeded columns in the target table. Example Process Flows Configure the SQL Join Transformation 157 3 In the Target Table pane on the Mapping. a total revenue number for each salesperson. 3 In the Expression Builder window, on the Functions tab, select the All Functions folder. A list of SAS functions is displayed. 4 Scroll to the SUM(argument) function,. about setting options on the Pre and Post Process tab in the job properties window, see “Adding SAS Code to the Pre and Post Processing Tab” on page 225. Configure the SQL Join Transformation Specify