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English
  • Data Integration Connectors
  • All Products

Table of Contents

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

Amazon Redshift Connectors

Amazon Redshift Connectors

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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
    .
    You can use Source
    SQL ELT 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
    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 optimization
      . 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
      SQL ELT optimization
       only when you read from and write to Amazon Redshift.
    • Non
      SQL ELT optimization
      . 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 Amazon Redshift database. To verify that the
SQL ELT 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.
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