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 Service Pack 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. Connections
  17. Data Type Reference
  18. Function Reference

User Guide

User Guide

Back Next

Previewing Data

Previewing Data

When you run data preview in the Data Viewer view, you can perform tasks, such as viewing the structure and data of a hierarchy field and filtering ports to view. You can also export the results to a JSON file.
Before you preview data, verify that Spark is configured as the mapping run-time environment. If you are previewing hierarchical data in a complex file object, add the complex file object to a mapping to preview the data.
To preview data on the Spark engine, perform the following tasks:
  1. Open a mapping in the Developer tool and select a preview point.
  2. To run the data preview, click Run in the Data Viewer view.
    The output of the data preview can be viewed in the Data Viewer view.
  3. To filter ports in the output, choose the ports you want to view.
  4. To view the structure and the data in a hierarchy field, select the field.
    The details of the hierarchy field appears on the hierarchical type panel.
  5. To export the results to a JSON file, right-click the hierarchy field and select
    Export Data
    .
0 COMMENTS
We’d like to hear from you!