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 10.2.2 HotFix 1
  • All Products

Table of Contents

Search

  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function Reference

User Guide

User Guide

Back Next

Advanced Options

Advanced Options

Configure advanced options such as environment variables and automatic termination.
The following table describes the advanced options that you can set for a Databricks cluster:
Property
Description
Auto Termination
Enables automatic termination of the cluster.
Auto Termination Time
Terminates the cluster after it is inactive for the specified number of minutes. Enter a value between 10 and 10,000. If you do not configure this, or if you set to 0, the cluster will not automatically terminate.
Cluster Log Conf
The location to deliver logs for long-term storage. If configured, the Databricks Spark engine will deliver the logs every five minutes.
Provide the path to DBFS.
Init Scripts
The location to store init script logs. You can enter multiple destinations. The scripts are run sequentially in the order that you configure them. Use the follow format: 
<DBFS path>/script1, script2
Cluster Tags
Labels that you can assign to resources for tracking purposes. Enter key-value pairs in the following format: "<key1>" = <value1> ,"<key2>" = <value2>. You can also provide a path to a fie that contains the key-value pairs.
Spark Configurations
Performance configurations for the Databricks Spark engine. Enter key-value pairs in the following format: "<key1>" = <value1> ,"<key2>" = <value2>. You can also provide a path to a file that contains the key-value pairs.
Environment Variables
Environment variables that you can configure for the Databricks Spark engine. Enter key-value pairs in the following format: "<key1>" = <value1> ,"<key2>" = <value2>.
0 COMMENTS
We’d like to hear from you!