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 Integration 10.4.0
  • All Products

Table of Contents

Search

  1. Preface
  2. Introduction to Data Engineering Administration
  3. Authentication
  4. Running Mappings on a Cluster with Kerberos Authentication
  5. Authorization
  6. Cluster Configuration
  7. Cloud Provisioning Configuration
  8. Data Integration Service Processing
  9. Appendix A: Connections Reference
  10. Appendix B: Monitoring REST API

Administrator Guide

Administrator Guide

Back Next

Data Engineering Recovery Configuration

Data Engineering Recovery Configuration

Configure a Data Integration Service for data engineering recovery. If the Data Integration Service runs on a grid, verify that certain directories are configured on a network file system.
Perform the following tasks:
Enable data engineering recovery.
For the Data Integration Service to recover mapping jobs, you must enable the option in the Data Integration Service Execution Options.
Verify that directories are configured on a network file system.
If the Data Integration Service runs on a grid, some directories on each node must be configured on a network file system to permit the Data Integration Service components to communicate information about mapping jobs during node failures.
Verify that the following properties are configured for directories:
  • Directory for temporary files. Default is
    <home directory/disTemp>
  • Log directory. Default is
    <Informatica installation directory/logs/<node name>/services/DataIntegrationService
Directories must be mounted on a network file system accessible to all Data Integration Service nodes.
0 COMMENTS
We’d like to hear from you!