- PowerCenter 10.5
- All Products
Performs an aggregate calculation based on all data passed through the transformation. Alternatively, you can specify a filter for records in the aggregate calculation to exclude certain kinds of records. For example, you can find the total number and average salary of all employees in a branch office using this transformation.
Result of an aggregate calculation for a port.
Performs a calculation based on the value of input or output ports for a row. An expression is a method to mask production data in the Data Masking transformation.
Result of a row-level calculation using input or output ports.
Performs a calculation based on values within a single row. For example, based on the price and quantity of a particular item, you can calculate the total purchase price for that line item in an order.
Result of a row-level calculation for a port.
Specifies a condition used to filter rows passed through this transformation. For example, if you want to write customer data to the BAD_DEBT table for customers with outstanding balances, you could use the Filter transformation to filter customer data.
TRUE or FALSE, depending on whether a row meets the specified condition. Only rows that return TRUE are passed through this transformation. The transformation applies this value to each row passed through it.
Sets the conditions for rows included in a rank. For example, you can rank the top 10 salespeople who are employed with the company.
Result of a condition or calculation for a port.
Routes data into multiple transformations based on a group expression. For example, use this transformation to compare the salaries of employees at three different pay levels. You can do this by creating three groups in the Router transformation. For example, create one group expression for each salary range.
TRUE or FALSE, depending on whether a row meets the specified group expression. Only rows that return TRUE pass through each user-defined group in this transformation. Rows that return FALSE pass through the default group.
Flags a row for update, insert, delete, or reject. You use this transformation when you want to control updates to a target, based on some condition you apply. For example, you might use the Update Strategy transformation to flag all customer rows for update when the mailing address has changed, or flag all employee rows for reject for people who no longer work for the company.
Numeric code for update, insert, delete, or reject. The transformation applies this value to each row passed through it.
Specifies a condition used to determine the action the Integration Service performs, either commit, roll back, or no transaction change. You use this transformation when you want to control commit and rollback transactions based on a row or set of rows that pass through the transformation. For example, use this transformation to commit a set of rows based on an order entry date.
One of the following built-in variables, depending on whether or not a row meets the specified condition:
The Integration Service performs actions based on the return value.