Table of Contents

Search

  1. Preface
  2. Introduction to PostgreSQL Connector
  3. Connections for PostgreSQL
  4. Mappings and mapping tasks with PostgreSQL Connector
  5. PostgreSQL objects in mapping tasks
  6. Lookup transformation
  7. SQL transformation
  8. Migrating a mapping
  9. PostgreSQL SQL ELT optimization
  10. Data type reference

PostgreSQL Connector

PostgreSQL Connector

Dynamic schema handling for mappings

Dynamic schema handling for mappings

You can choose how
Data Integration
handles changes that you make to the data object schemas. To refresh the schema every time the
mapping
task runs, you can enable dynamic schema handling in the task.
A schema change includes one or more of the following changes to the data object:
  • Fields added.
  • Fields updated for data type, precision, or scale.
Configure schema change handling on the
Runtime Options
page when you configure the task.
The following table describes the schema change handling options:
Option
Description
Asynchronous
Default.
Data Integration
refreshes the schema when you edit the mapping or
mapping
task, and when
Informatica Intelligent Cloud Services
is upgraded.
Dynamic
Data Integration
refreshes the schema every time the task runs.
You can choose from the following options to refresh the schema:
  • Alter and Apply changes
    . Alters the target schema and adds the new fields from the source.
  • Don't Apply DDL Changes
    . Does not apply the schema changes to the target.
  • Drop Current and Recreate
    . Drops the existing target table and then recreates the target table at runtime using all the incoming metadata fields from the source.
For more information, see the "Schema change handling" topic in
Tasks
in the Data Integration documentation.

0 COMMENTS

We’d like to hear from you!