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Registering Data Targets 4 Specify Physical Storage Information for the New Table 145Specify Physical Storage Information for the New Table Use the physical storage window to specify the

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Registering Data Targets 4 Specify Physical Storage Information for the New Table 145

Specify Physical Storage Information for the New Table

Use the physical storage window to specify the format and location of the table that you are registering, as shown in the following display

Display 9.6 Physical Storage Window

In this window you specify the database management system that is used to create the target, the library where the target is to be stored, and a valid name for the target Follow these steps:

1 Because the target is a SAS data set, in the DBMS field, accept the default value of SAS.

2 In the Library field, use the selection arrow to select Report Table Lib.

3 In the Name field, enter a valid SAS name for the target (For details about SAS

names, see the SAS Data Integration Studio Help.) For this example, accept the default: Total_Sales_By_Employee

4 When you are finished specifying physical storage information, click Next The

Custom tree group selection window displays

Usage Hints for the Physical Storage Window

Remember the following as you use the physical storage window:

3 The name that you specify in the Name field must follow the rules for table names

in the format that you select in the DBMS field For example, if SAS is the selected

DBMS, the name must follow the rules for SAS data sets If you select another DBMS, the name must follow the rules for tables in that DBMS

3 For a SAS table or a table in a database management system, you can enable the use of mixed-case names or special characters in names See “Setting Name Options for Individual Tables” on page 109

3 You can specify new libraries or edit the metadata definitions of existing libraries

using the New and Edit buttons.

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146 Specify a Custom Tree Group for the Current Metadata 4 Chapter 9

3 You can use the Table Option button to specify options for SAS tables and tables

in a DBMS

Specify a Custom Tree Group for the Current Metadata

Use the Select Group window to specify a Custom tree group for the table that you are registering A Custom tree group is a folder that you can use to keep similar kinds

of metadata together in the Custom tree on the SAS Data Integration Studio desktop

Display 9.7 Select Group Window

For this example, assume that you do not want to specify a Custom tree group for

the table Select Foundation and click Next The finish window displays.

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Registering Data Targets 4 Check In the Metadata 147

Save Metadata for the Table

Use the finish window to review the metadata that you entered

Display 9.8 Finish Window

If the metadata is correct, click Finish The metadata for the table is written to a

current metadata repository

Note: The table does not yet exist on the file system You have only specified the metadata that is used to create the table 4

At this point, you could add the metadata that you just created to a job, or you could check in the metadata

Check In the Metadata

Follow these steps to check in the metadata for the target table:

1 In the Project tree, select the repository icon

2 From the SAS Data Integration Studio menu bar, select Project I Check In Repository All objects in the project repository are checked into the

change-managed repository

The new table is now ready to be used in a job, as described in “Example: Creating a Job That Joins Two Tables and Generates a Report” on page 150

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148 Next Tasks 4 Chapter 9

Next Tasks

After you have specified the metadata for one or more targets, you can specify metadata for the job that will read the appropriate sources and create the desired targets on a file system

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C H A P T E R

10

Example Process Flows

Using Jobs to Create Process Flows 149

Example: Creating a Job That Joins Two Tables and Generates a Report 150

Preparation 150

Check Out Existing Metadata That Must Be Updated 151

Create the New Job and Specify the Main Process Flow 151

(Optional) Reduce the Amount of Data Processed by the Job 153

Configure the SQL Join Transformation 155

Specify Column Mappings 155

Change One Column to a Calculated Column 157

Specify GROUP BY Options for the Join 160

Update the Metadata for the Total Sales By Employee Table 161

Configure the Loader Transformation 161

Run the Job and Check the Log 162

Verify the Contents of the Total_Sales_By_Employee Table 163

Add the Publish to Archive Transformation to the Process Flow 163

Configure the Publish to Archive Transformation 166

Run the Job and Check the Log 166

Check the HTML Report 167

Check In the Metadata 167

Example: Creating a Data Validation Job 167

Preparation 167

Create and Populate the New Job 168

Configure the Data Validation Transformation 170

Run the Job and Check the Log 172

Verify Job Outputs 173

Example: Using a Generated Transformation in a Job 174

Preparation 174

Create and Populate the New Job 175

Configure the PrintHittingStatistics Transformation 176

Run the Job and Check the Log 178

Verify Job Outputs 179

Check In the Metadata 179

Using Jobs to Create Process Flows

After you have specified the metadata for one or more sources and targets, you can specify metadata for the job that will read the appropriate sources and create the desired targets in physical storage Use the examples in this chapter, together with the general steps that are described in “Creating, Running, and Verifying Jobs” on page 99,

to specify jobs that will create and load the desired targets

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