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 Engineering Streaming 10.5.1
  • All Products

Table of Contents

Search

  1. Preface
  2. Introduction to Data Engineering Streaming
  3. Data Engineering Streaming Administration
  4. Sources in a Streaming Mapping
  5. Targets in a Streaming Mapping
  6. Streaming Mappings
  7. Window Transformation
  8. Appendix A: Connections
  9. Appendix B: Monitoring REST API Reference
  10. Appendix C: Sample Files

User Guide

User Guide

Back Next

Advanced Properties

Advanced Properties

The following table describes the advanced properties for Azure Event Hubs sources:
Property
Description
Operation Type
Specifies the type of data object operation.
This is a read-only property.
Consumer Group
The name of the event hub Consumer Group that you read events from.
Max Rate
The maximum number of events that are consumed in a single batch for each partition.
Shared Access Policy Name
The name of the event hub Shared Access Policy. To read from an event hub, you must have Listen permission.
If you specify a value for this property, it overwrites the value configured in the Azure Event Hubs connection.
Shared Access Policy Primary Key
The primary key of the event hub Shared Access Policy.
If you specify a value for this property, it overwrites the value configured in the Azure Event Hubs connection.
Guaranteed Processing
Ensures that the mapping processes messages that the sources publish and delivers them to the targets at least once. In the event of a failure, there could be potential duplicates but the messages are processed successfully. If the external source or the target is not available, the mapping execution stops to avoid any data loss.
By default, the Guaranteed Processing property is selected.
Start Position Offset
The time from which the Azure Event Hubs data object starts reading messages from an event hub.
You can select one of the following options:
  • CUSTOM. Read messages from a specific time.
  • EARLIEST. Read the earliest messages available on the event hub.
  • LATEST. Read the latest messages from an event hub.
Custom Start Position Enqueue Time
Required if you set the Start Position Offset property to custom. A UTC timezone datetime value in the ISO8601 format from which the Azure Event Hubs data object starts reading events from an event hub.
Specify time in the following format: YYYY-MM-DDThh:mm:ss.sssZ
0 COMMENTS
We’d like to hear from you!