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 10.4.1
  • 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

Tuning the Application Services

Tuning the Application Services

Tune the application services for big data processing.
You tune the application services according to the deployment type that best describes the big data processing requirements in your environment. For each application service, the heap memory is tuned based on the deployment type.
The following table describes how the heap memory is tuned for each application service based on the deployment type:
Service
Sandbox
Basic
Standard
Advanced
Analyst Service
768 MB
1 GB
2 GB
4 GB
Content Management Service
1 GB
2 GB
4 GB
4 GB
Data Integration Service
640 MB
2 GB
4 GB
6 GB
Model Repository Service
1 GB
1 GB
2 GB
4 GB
Resource Manager Service
512 MB
512 MB
2 GB
4 GB
Search Service
768 MB
1 GB
2 GB
4 GB

Data Integration Service

When you tune the Data Integration Service, the deployment type additionally defines the execution pool size for jobs that run in the native and Hadoop environments.
The following table lists the execution pool size that is tuned in the native and Hadoop environments based on the deployment type:
Run-time Environment
Sandbox
Basic
Standard
Advanced
Native
10
10
15
30
Hadoop
10
500
1000
2000
If the deployment type is Advanced, the Data Integration Service is tuned to run on a grid.
0 COMMENTS
We’d like to hear from you!