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 10.5.2
  • 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

Enable Data Preparation of JSON Files on Cloudera CDP

Enable Data Preparation of JSON Files on Cloudera CDP

If you integrate
Enterprise Data Preparation
 with a Cloudera CDP Hadoop cluster, you must specify the location of a Hive .jar file in the Hive Auxiliary JARs Directory in CDP to enable data preparation of JSON files.
Perform this task in the following situations:
  • You are integrating for the first time.
  1. Search for hive-hcatalog-core.jar in the Cloudera CDP installation directory.
    You can generally find the .jar file in the following directory:
    /opt/cloudera/parcels/CDH/jars/
  2. Log in to Cloudera Manager.
  3. Select
    Hive
     in the cluster.
  4. Click the
    Configuration
     tab, then select the
    Advanced
     category.
  5. Enter the path to the directory containing the .jar file in the Hive Auxiliary JARs Directory property.
    If the file is in the location noted, the path to the directory is:
    /opt/cloudera/parcels/CDH/jars/
  6. Restart the Hive server.
0 COMMENTS
We’d like to hear from you!