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 10.5.1
  • All Products

Table of Contents

Search

  1. Preface
  2. Part 1: Hadoop Integration
  3. Part 2: Databricks Integration
  4. Appendix A: Connections Reference

Integration Guide

Integration Guide

Back Next

Delta Lake JDBC Connection Properties

Delta Lake JDBC Connection Properties

To enable the domain to access Delta Lake resources in the cloud platform environment, you must manually create and configure a JDBC connection.
Configure the following connection properties:
Property
Description
Name
Type a name for the connection. Example: DatabricksDeltaCxn
ID
Default: Automatically populated with the connection name. Changing this default value is optional.
Username
Type the following value to use the Databricks user token:
token
Password
Value of the token that you configured for the Databricks user.
JDBC Driver Class Name
Type the following value:
com.simba.spark.jdbc4.Driver
Connection String
Connection to the Delta Lake resource. This connection string contains all the information that the domain needs to connect to the resource.
The connection string contains the following elements:
  • jdbc:spark://<server host name>.
  • Port number.
  • Transport mode.
  • ssl. Use
    1
     to enable SSL.
  • httpPath.
  • UID. User ID that will be used to run jobs on the cluster. Use
    token
    .
  • PWD. Value of the token that you configured for the Databricks user.
Example: 
jdbc:spark://westus.azuredatabricks.net:443/default;transportMode=http;ssl=1;httpPath=sql/protocolv1/o/1654523072521724/0123-456789-films259;AuthMech=3;UID=token;PWD=<token string>
To get the value of these parameters from the Advanced Options area of the cluster configuration settings:
  1. In the Databricks environment, select Clusters.
  2. Select the cluster to connect to.
  3. Expand the Advanced Options and click the
    JDBC/ODBC
     tab.
For more information about the JDBC connection string for Databricks, see the Databricks documentation.
0 COMMENTS
We’d like to hear from you!