Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Data Integration Connectors
  • All Products

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

Back Next

Configuring SQL ELT optimization

Configuring
SQL ELT optimization

To optimize a mapping, add the mapping to a task, and then configure
SQL ELT optimization
 in the
mapping
 task.
  1. Create a
    mapping
     task.
  2. In the
    SQL ELT Optimization
     section on the
    Runtime Options
     tab, set the
    SQL ELT optimization
     value to
    Full
     or
    To Source
    .
  3. If full
    SQL ELT optimization
     is not available, select how Data Integration handles
    SQL ELT optimization
     in the
    SQL ELT Optimization Fallback Option
     menu:
    • Partial SQL ELT. Default. Data Integration pushes as much transformation logic as possible to the source database. The task processes any transformation logic that it can't push to a database. You can use Partial SQL ELT only when you read from and write to Google BigQuery.
    • Non SQL ELT. The task runs without
      SQL ELT optimization
      .
    • Fail Task. Data Integration fails the task.
    The fallback options are not applicable to mappings in advanced mode.
When you run the mapping task, the transformation logic is pushed to the Google BigQuery database.
0 COMMENTS
We’d like to hear from you!