Databricks Connector > Mappings for Databricks > Dynamic schema handling
  

Dynamic schema handling

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.
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. Data Integration applies the following changes from the source schema to the target schema:
    • - New fields. Alters the target schema and adds the new fields from the source.
  • - Don't apply DDL changes. Data Integration 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.
Note: You cannot enable dynamic schema handling in a task to run a mapping in advanced mode.
For more information, see the "Schema change handling" topic in Tasks in the Data Integration help.