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English
  • Data Engineering Integration 10.2.2
  • All Products

Table of Contents

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  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

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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>.
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