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  1. Preface
  2. Introduction to ODBC Connector
  3. Connections for ODBC
  4. Synchronization tasks with ODBC Connector
  5. Mappings and mapping tasks with ODBC Connector
  6. SQL ELT optimization
  7. Data type reference

ODBC Connector

ODBC Connector

Cross-schema SQL ELT optimization

Cross-schema
SQL ELT optimization

You can enable cross-schema
SQL ELT optimization
for tasks that use source or target objects associated with different schemas within the same database. The Source and Target transformations must use two separate ODBC connections to run cross-schema
SQL ELT optimization
.
The DSN entry in the ODBC connection of the source, target, or lookup object must be the same. You can override the schema in the connection.
You can configure cross-schema
SQL ELT optimization
for the following databases when you use the ODBC connection:
  • Amazon Redshift
  • Microsoft Azure SQL Data Warehouse
  • PostgreSQL
  • Snowflake
  • Teradata
To configure cross-schema
SQL ELT optimization
in a mapping configuration task, perform the following tasks:
  1. In the
    SQL ELT Optimization
    section, on the
    Runtime Options
    tab, select the type of
    SQL ELT optimization
    .
  2. In the
    Advanced Session Properties
    section, select the
    Enable cross-schema SQL ELT Optimization
    check box.
For more information about configuring cross-schema
SQL ELT optimization
to read from or write data to objects associated with different schemas within the same database and for examples, see the help for the relevant connector.

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