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 Integration Connectors
  • All Products

Table of Contents

Search

  1. Preface
  2. Part 1: Introduction to Google BigQuery connectors
  3. Part 2: Data Integration with Google BigQuery V2 Connector
  4. Part 3: Data Integration with Google BigQuery Connector

Google BigQuery Connectors

Google BigQuery Connectors

Back Next

Clustering order

Clustering order

You can create a target table with clustered columns at runtime. Clustering organizes the data based on the specified columns into optimally-sized storage blocks, which enhances the query performance.
The clustering order determines the sort order of the data within the table. To define the clustering order, enter up to four fields, each separated by a comma.
You can use the following data types in the clustering columns:
  • Bignumeric
  • Bool
  • Date
  • Datetime
  • INT64
  • Numeric
  • String
  • Timestamp

Rules and guidelines

Consider the following rules and guidelines when you configure clustered tables in the
Google BigQuery
 target:
  • When you set the clustering order, the mapping can fail for the following issues:
    • The number of clustering fields exceeds the defined limit.
    • An incorrect name for the clustering field.
    • The clustering field is of the Byte or Float data type.
    The related error message for the mapping failure is not logged in the session log. You can find the related error message logged in the Tomcat log.
  • When you use Simple connection mode in a mapping, you need to provide the clustering field name for the Record data type in the
    Clustering Order
     property using an underscore instead of a dot. For example, provide the field name as
    _(Master_String)
     instead of
    .(Master.String)
    . If you use a dot in the clustering field name, the mapping fails.
0 COMMENTS
We’d like to hear from you!