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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

Configuring cross-schema SQL ELT optimization for an Amazon Redshift mapping task

Configuring cross-schema
SQL ELT optimization
for an Amazon Redshift
mapping
task

Perform the following steps to configure cross-schema
SQL ELT optimization
for an Amazon Redshift
mapping
task:
  1. Create Amazon Redshift ODBC source and target connections, each defined with a different schema.
    For example,
    • Create a
      rs_odbc1
      Amazon Redshift ODBC connection and specify
      CQA_SCHEMA1
      schema in the connection properties.
    • Create a
      rs_odbc2
      Amazon Redshift ODBC connection and specify
      CQA_SCHEMA2
      schema in the connection properties.
  2. Create an Amazon Redshift mapping.
    For example, create a
    m_rs_pdo_crossSchema
    Amazon Redshift mapping.
  3. Add a Source transformation. Include an Amazon Redshift source object and connection to read data using the schema specified in the connection.
    For example, add a Source transformation. Include an Amazon Redshift source object and connection
    rs_odbc1
    to read data using
    CQA_SCHEMA1
    .
  4. Add a Target transformation. Include an Amazon Redshift target object and connection to write data using the schema specified in the connection.
    For example, add a Target transformation. Include an Amazon Redshift target object and connection
    rs_odbc2
    to write data using
    CQA_SCHEMA2
    .
  5. Create an Amazon Redshift
    mapping
    task, and perform the following tasks:
    1. Select the configured Amazon Redshift mapping.
      For example, select the
      m_rs_pdo_crossSchema
      Amazon Redshift mapping.
    2. On the
      Runtime Options
      tab, set
      SQL ELT Optimization
      to
      Full
      .
    3. Then, select
      Enable cross-schema SQL ELT optimization
      .
    4. Save the task and click
      Finish
      .
    When you run the
    mapping
    task, the Secure Agent reads data from the Amazon Redshift source object associated with the
    CQA_SCHEMA1
    schema and writes data to the Amazon Redshift target object associated with
    CQA_SCHEMA2
    schema.

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