Google BigQuery Connectors

Back Next

Handling dynamic schemas

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, deleted, or renamed.

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. 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. Renamed fields: Adds renamed fields as new columns in the target. Data type and precision updates. Not applicable for Google BigQuery V2 Connector. Deleted fields: Not applicable for Google BigQuery V2 Connector. 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.

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.

Renamed fields: Adds renamed fields as new columns in the target.

Data type and precision updates. Not applicable for Google BigQuery V2 Connector.

Deleted fields: Not applicable for Google BigQuery V2 Connector.

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.

For more information, see the "Schema change handling" topic in

Tasks

in the Data Integration help.

Mappings for Google BigQuery V2

Rules and guidelines for dynamic schema handling

Download Guide

Watch

Comments

Cloud Connectivity Homepage

Communities

Knowledge Base

Success Portal