Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Data Integration Connectors
  • All Products

Table of Contents

Search

  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

Back Next

Amazon Redshift V2 sources, targets, and lookups

Amazon Redshift V2 sources, targets, and lookups

You can configure an Amazon Redshift V2 connection in the source transformation with basic, IAM, and assume role authentication and enable
SQL ELT optimization
 in the mapping task.

Connection properties

When you configure
SQL ELT optimization
, you can use the following advanced properties for an Amazon Redshift V2 source in the Amazon Redshift V2 connection:
  • User name
  • Password
  • Access key and secret key
  • JDBC URL
  • Region
  • Master symmetric key
  • Customer master key ID

Source properties

When you configure
SQL ELT optimization
, you can use the following properties for an Amazon Redshift V2 source in the Source transformation:
  • Source connection- Parameter, Allow parameter to be overridden at run time
  • Source type - Single object, multiple objects, query, and parameter
  • Filter
  • Read mode - Only staging mode is applicable in mappings.
  • S3 bucket name
  • Enable compression
  • Unload options
  • Encryption type - SSE-S3, SSE-KMS, SSE-SMK
    You must specify the same master symmetric key in the target properties.
  • Schema name
  • Source table name
  • Pre-SQL
  • Post-SQL
  • SQL query
  • Select distinct

Target properties

When you configure
SQL ELT optimization
, you can use the following properties for an Amazon Redshift V2 target:
  • Target connection- Parameter, Allow parameter to be overridden at run time
  • Target type- Single object, parameter
  • Allow parameter to be overridden at run time
  • Target object- Existing target, Create new at runtime
  • Operation- Insert, update, upsert, delete, or data driven
  • Analyze target table
  • Assume Role
  • COPY command
    • Region
    • Truncatecolumn
    • AWS_IAM_Role, only for Parquet and ORC files
  • Pre-SQL
  • Post-SQL
  • Require null value for Char and Varchar
  • Schema name
  • Target table name
  • Truncate target table before data upload
  • Vacuum table
  • Override Target Query
  • Treat Source Rows As (Insert, Update, Upsert, Delete, and None). Select None when you use data driven operation.
  • Max Errors per Upload Batch for INSERT
If you configure source and target advanced properties that are not applicable, the mappings run in the Informatica runtime environment.

Lookup properties

When you configure
SQL ELT optimization
, you can use the following properties for Amazon Redshift V2 lookups:
  • Lookup connection- Parameter, Allow parameter to be overridden at run time
  • Source type - Single object, query, parameter
  • Multiple matches - Report error. Applicable for unconnected lookups.
  • Multiple matches- Return all rows. Applicable for connected lookups.
  • S3 Bucket Name
  • Enable Compression
  • Unload Options
  • Encryption Type
  • Schema Name
  • Source Table Name
  • Pre-SQL
  • Post-SQL
  • SQL Query
  • Select Distinct
You can specify a parameter file in the mapping task to override the Amazon Redshift V2 source, lookup, and target connections and objects in a mapping.
0 COMMENTS
We’d like to hear from you!