Table of Contents

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

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 an Azure 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 where you store init scripts. You can enter multiple destinations. The scripts are run sequentially in the order that you configure them. If you need to install additional Python libraries, specify the init script file location in this property.
Use the following format:
dbfs:/<path to init script>,dbfs:/<path to init script>
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 local file that contains the key-value pairs.
Use the following format:
file:\\<file path>
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'


Updated September 28, 2020