The Transformer stage is a processing stage. It appears
under the processing category in the tool palette. Transformer stages allow you
to create transformations to apply to your data. These transformations can be
simple or complex and can be applied to individual columns in your data. Transformations
are specified using a set of functions.
Transformer stages can have a single input and any number of
outputs. It can also have a reject link that takes any rows which have not been
written to any of the outputs links by reason of a write failure or expression
Transformer NULL Handling and Reject Link
When evaluating expressions for output derivations or link
constraints, the Transformer will reject (through the reject link indicated by
a dashed line) any row that has a NULL value used in the expression.
To create a Transformer reject link in DataStage Designer,
right-click on an output link and choose “Convert to Reject”.
The Transformer rejects NULL derivation results because the
rules for arithmetic and string handling of NULL values are by definition
For this reason, always test for null values before using a
column in an expression, for example:
If IsNull(link.col) Then… Else…
Conditionally Aborting Jobs
The Transformer can be used to conditionally abort a job
when incoming data matches a specific rule. Create a new output link that will
handle rows that match the abort rule.
Within the link constraints dialogue box, apply the abort
rule to this output link and set the “Abort After Rows” count to the number of
rows allowed before the job should aborted.
What are Stage Variable, Derivation and Constraint ?
Stage Variable – An intermediate processing variable that
retains value during read and doesnt pass the value into target column.
It executes locally within the stage.
Derivation – Expression that specifies value to be passed on
to the target column.
Constraint – Conditions that are either true or false that
specifies flow of data with a link.
Order of execution is:
1. Stage Variable 2. Constraint 3. Derivation
What is the difference between Basic transformer and Normal transformer ?
– A Basic transformer compiles in “Basic Language”
whereas a Normal Transformer compiles in “C++”.
– Basic transformer does not run on multiple nodes wheras a
Normal Transformer can run on multiple nodes giving better performance.
– Basic transfomer takes less time to compile than the
– A basic transformer should be used in Server Jobs.
– Normal Transformer should be used in Parallel jobs as it
will run on multiple nodes here giving better performance.