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
  • Informatica Data Quality 10.5.1
  • All Products

Table of Contents

Search

  1. Preface
  2. The Transformation Language
  3. Constants
  4. Operators
  5. Variables
  6. Dates
  7. Functions

Transformation Language Reference

Transformation Language Reference

Back Next

ANY

ANY

Returns any value found within a selected port or group. Optionally, you can apply a filter to limit the rows the Data Integration Service reads. You can nest only one other aggregate function within ANY.

Syntax

ANY( 
value
 [, 
filter_condition
 ] )
The following table describes the arguments for this function:
Argument
Required/
Optional
Description
value
Required
Any data type except Binary. Passes the values for which you want to return any row. You can enter any valid transformation expression.
filter_condition
Optional
Limits the rows in the search. The filter condition must be a numeric value or evaluate to TRUE, FALSE, or NULL. You can enter any valid transformation expression.

Return Value

Any value in the port or group. Return value might be different each time.
NULL if all values passed to the function are NULL, all values are empty, or no rows are selected. For example, the filter condition evaluates to FALSE or NULL for all rows.

Example

The following expression returns any row in the ITEM_NAME port with a price greater than $10.00: 
ANY( ITEM_NAME, ITEM_PRICE > 10 )
ITEM_NAME
ITEM_PRICE
 
Flashlight
35.00
Navigation Compass
8.05
Regulator System
150.00
Flashlight
29.00
Depth/Pressure Gauge
88.00
Vest
31.00
RETURN VALUE:
Flashlight

ANY and Complex Data Types

You can use ANY to return a row in a complex port of type array or struct.
For example, you have the following array: 
emp_phones =
[205-128-6478, 722-515-2889]
[107-081-0961, 718-051-8116]
[344-894-6463, 861-411-8361]
[107-031-0961, NULL]
You can use the following expression to return any row in the array port: 
ANY( emp_phones )
RETURN VALUE
: [205-128-6478, 722-515-2889]
0 COMMENTS
We’d like to hear from you!