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
  • Common Content for Data Engineering 10.2.1
  • All Products

Table of Contents

Search

  1. Preface
  2. Mappings
  3. Mapplets
  4. Mapping Parameters
  5. Mapping Outputs
  6. Generate a Mapping from an SQL Query
  7. Dynamic Mappings
  8. How to Develop and Run a Dynamic Mapping
  9. Dynamic Mapping Use Cases
  10. Mapping Administration
  11. Export to PowerCenter
  12. Import From PowerCenter
  13. Performance Tuning
  14. Pushdown Optimization
  15. Partitioned Mappings
  16. Developer Tool Naming Conventions

Developer Mapping Guide

Developer Mapping Guide

Back Next

Rules and Guidelines for Relational Source Partitions

Rules and Guidelines for Relational Source Partitions

Consider the following rules and guidelines when you enable partitioning for a mapping that reads from a relational source:
  • The Data Integration Service uses one thread to read the source, but can use multiple threads for the remaining mapping pipeline stages in the following situations:
    • The mapping reads from a relational source other than DB2 for LUW or Oracle.
    • The mapping uses a JDBC or ODBC connection to read from a DB2 for LUW or Oracle source.
    • The mapping pushes transformation logic to the source database.
    • You use the simple query in the Read transformation to select the ports to sort by or to configure a user-defined join.
    • You use the advanced query in the Read transformation to create a custom SQL query.
  • If you use the simple query in the Read transformation to create hints, select distinct values, or enter a source filter, the Data Integration Service can use multiple threads to read the source. The Data Integration Service adds the hints, distinct values, or source filter to the SQL query generated for each partition.
0 COMMENTS
We’d like to hear from you!