The Expression transformation

Expression transformations are used for row-wise manipulation. For any type of manipulation you wish to perform on an individual record, use an Expression transformation. The Expression transformation accepts the row-wise data, manipulates it, and passes it to the target. The transformation receives the data from the input port and sends the data out from output ports.

Use Expression transformations for any row-wise calculation, such as if you want to concatenate the names, get the total salary, and convert it to uppercase. To understand the functionality of the Expression transformation, let's take a scenario.

Using flat file as the source, which we we created in Chapter 1, Starting the Development Phase – Using the Designer Screen Basics, concatenate FIRST_NAME and LAST_NAME to get FULL_NAME and TOTAL_SALARY from JAN_SALARY and FEB_SALARY of an individual employee.

We are using Expression transformation in this scenario because the value of FULL_NAME can be achieved by concatenating FIRST_NAME and LAST_NAME of an individual record. Similarly, we can get TOTAL_SALARY using JAN_SALARY and FEB_SALARY. In other words, the manipulation required is row-wise.

We are going to learn some basic aspects of transformations, such as ports in transformations, writing a function, and so on while we implement our first transformation using an expression.

Perform the following steps to achieve the functionality:

  1. Create the source using flat file in Source Analyzer and the target in Target Designer. We will be using EMP_FILE as the source and TGT_EMP_FILE as the target.
  2. Create a new m_EXP_CONCAT_TOTAL mapping in Mapping Designer, drag the source and target from the navigator to the workspace, and create the Expression transformation with the EXP_CONCAT_TOTAL name.
  3. Drag-and-drop all the columns from the source qualifier to the Expression transformation. At this point, the mapping will look as shown in the following screenshot:
    The Expression transformation

We have connected EMPLOYEE_ID, AGE, and LOCATION directly to the target as no manipulation is required for these columns.

At this step, we need to understand how to use the different types of ports in the transformation.

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