Dynamic sources allow changes to the metadata in flat file and relational sources at run time. When the metadata in a flat file or relational source changes, Read and Lookup transformations can get data object columns directly from the dynamic sources at run time.
Transformations can include dynamic ports, which receive one or more columns that can change based on the rules that you define. You can define rules to include or exclude columns in a dynamic port.
The following transformations can include dynamic ports:
Aggregator
Expression
Filter
Joiner
Lookup
Rank
Router
Sequence Generator
Sorter
Update Strategy
You can define a port selector in the Joiner transformation, in the Lookup transformation, and in the Expression transformation. A port selector is an ordered list of ports that you can reference in the transformation logic. Configure a port selector to filter the ports that flow into the transformation and to reference the ports in a join condition, a lookup condition, or a dynamic expression.
You can define a dynamic expression in an Expression transformation. A dynamic expression returns results to a dynamic output port. You can reference a port selector or a dynamic port in a dynamic expression. When you reference a dynamic port or a port selector, the dynamic expression runs one time for each port in the dynamic port or the port selector. The Expression transformation generates a separate output port for each expression instance.
Dynamic targets allow you to define the columns for flat file and relational targets at run time. Write transformations can generate columns for the targets at run time based on an associated data object or the mapping flow. Write transformations that represent relational targets can also create or replace tables at run time.
Transformations can have links between groups that determine which ports to connect at run time based on a policy or a parameter.
Sources and targets, rules for ports, and transformation properties can change at run time based on parameters.