What is the use of transformer stage in DataStage?

What is the use of transformer stage in DataStage?

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.

Which are routines in the DataStage manager transformer stage?

It can be called via transformer stage. There are three types of routines such as, parallel routines, main frame routines and server routines.

What is the difference between basic transformer and normal transformer in DataStage?

The basic transformer stage allows you to create transformation logic using the DataStage BASIC language capability. The main difference is that the parallel transformer will give you much better performance.

What are the stages in DataStage?

DataStage provides three types of stages:

• Server Job Database Stages.
• Server Job File Stages.
• Dynamic Relational Stages.
• Processing Stages.

When would you use transformer’s reject link?

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.

What is funnel stage in Datastage?

The Funnel stage copies multiple input data sets to a single output data set. You can use this operation for combining separate data sets into a single large data set. The Funnel stage is a processing stage. It can have any number of input links and a single output link.

How are DataStage jobs organized?

Jobs and their associated objects are organized in projects. DataStage administrators create projects using the Administrator client. When you start the Designer client, you specify the project that you will work in, and everything that you do is stored in that project.

How do you call a routine in DataStage?

kmalla

1. kmalla. Answered On : Jun 29th, 2006.
2. In transformer stage we have to edit the field and click dsRoutines.It will prompt to select the routine .Thats it.

How do I capture a rejected record in Datastage?

To capture rejected duplicates use a Transformer. Partition and sort on your primary key. In a transformer keep the primary key stored in a Stage Variable. Compare incoming primary key to the stored primary key Stage Variable.

What is the role of DataStage developer?

DataStage developers handle enterprise-level data management and transfer solutions using IBM’s DataStage ETL platform. They ensure that data is extracted, transformed, and loaded correctly and manage each stage of the ETL process to facilitate smooth transfers and storage of data.

What are active and passive stages in DataStage?

What are Active and Passive stages? Active Stage : Active stage model the flow of data and provide mechanisms for combining data streams, aggregating data and converting data from one data type to another. Passive Stage : A Passive stage handles access to Database for the extraction or writing of data.

Which stage is used to filter data based on link constraints?

By defining a output link constraint, you can filter the data on each output link from the Complex Flat File stage.