Table of Contents

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  1. Preface
  2. Part 1: Getting Started with Snowflake Data Cloud Connector
  3. Part 2: Data Integration with Snowflake Data Cloud Connector
  4. Part 3: SQL ELT with Snowflake Data Cloud Connector
  5. Appendix A: Data type reference
  6. Appendix B: Additional runtime configurations
  7. Appendix C: Upgrading to Snowflake Data Cloud Connector

Snowflake Data Cloud Connector

Snowflake Data Cloud Connector

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 and target 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 Snowflake.
    • 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 configured database. To verify that the mapping was optimized, you can check the session log for the job. In
Monitor
, view the log for jobs.

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