Hi, I'm Ask INFA!
What would you like to know?
ASK INFAPreview
Please to access Ask INFA.

Table of Contents

Search

  1. Part 1: Introduction to Amazon Redshift connectors
  2. Part 2: Data Integration with Amazon Redshift V2 Connector
  3. Part 3: Data Integration with Amazon Redshift Connector

Amazon Redshift Connectors

Amazon Redshift Connectors

Configuring pushdown optimization

Configuring pushdown optimization

To optimize a mapping, add the mapping to a task, and then configure pushdown optimization in the
mapping
task.
  1. Create a
    mapping
    task.
  2. In the
    Pushdown Optimization
    section on the
    Schedule
    tab, set the pushdown optimization value to
    Full
    or
    To Source
    .
    You can use Source pushdown optimization only when you read from an Amazon Redshift source.
    The Optimization context type option is not applicable for an Amazon Redshift V2 mapping task.
  3. If full pushdown optimization is not available, select how Data Integration handles pushdown optimization in the
    Pushdown Optimization Fallback Option
    menu:
    • Partial PDO. Default. Data Integration pushes as much transformation logic as possible to the source and target database. The task processes any transformation logic that it can't push to a database. You can use Partial PDO only when you read from and write to Amazon Redshift.
    • Non PDO. The task runs without pushdown 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 Amazon Redshift database. To verify that the pushdown optimization has taken place, you can check the session log for the job. You can monitor the jobs that you initiated on the
My Jobs
page.

0 COMMENTS

We’d like to hear from you!