Table of Contents

Search

  1. Preface
  2. Part 1: Introduction to Google BigQuery connectors
  3. Part 2: Data Integration with Google BigQuery V2 Connector
  4. Part 3: Data Integration with Google BigQuery Connector

Google BigQuery Connectors

Google BigQuery Connectors

Mappings for Google BigQuery V2

Mappings for
Google BigQuery V2

When you configure a mapping, you describe the flow of data from the source to the target.
A mapping defines reusable data flow logic that you can use in mapping tasks.
When you create a mapping, you define the Source, Target, and Lookup transformations to represent a
Google BigQuery V2
object. Use the Mapping Designer in
Data Integration
to add the Source, Target, or Lookup transformations in the mapping canvas and configure the
Google BigQuery V2
source, target, and lookup properties.
In advanced mode, the Mapping Designer updates the mapping canvas to include transformations and functions that enable advanced functionality.
The
Google BigQuery V2
Connector uses Spark BigQuery connector library to write the data in a mapping in advanced mode. This library utilizes the Google BigQuery Storage API to directly write the data into Google BigQuery and does not use Google Cloud Storage for intermediate staging.
You can use
Monitor
to monitor the jobs.

0 COMMENTS

We’d like to hear from you!