If a source changes, you can configure the Read transformation to accommodate changes. For example, you can configure the transformation to use a different data source or to update the data object based on the data source. If a target changes, you can configure the Write transformation accommodate target changes. For example, you can configure the Write transformation to generate columns based on an associated data object or the mapping flow. If the target is relational, you can create or replace tables at run time.

Configure transformations in a mapping or mapplet to receive and propagate the changes throughout the mapping. Create dynamic ports to receive new or changed columns based on the data flow. A dynamic port generates a port for each incoming column. Configure input rules to determine the columns that a dynamic port receives and to rename or reorder the generated ports.

Create a dynamic expression by using dynamic ports or selection rules in the expressions. When you include a dynamic port, the expression runs against each port that the dynamic port generates. When you include a selection rule, the expression runs against each port in the rule.

When an Expression, Joiner, or Lookup transformation contains generated ports, you can configure port selection rules that accommodate changes to the generated ports when the mapping runs. For example, you need to perform a calculation on sales data, but the sales column name is different for each source. You create a rule to select the correct column to calculate.

You can use parameters to change values at run time. Use parameters to change values such as sources, targets, connections, and rules within the mapping.

Transformations might change in such a way that you cannot create direct links when you design the mapping. If you cannot create links at design time, you can configure run-time links. A run-time link uses a policy or parameter to determine the ports to link between transformation groups at run time.