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
  • Test Data Management 10.5.6
  • All Products

Table of Contents

Search

  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Appendix A: Data Type Reference
  21. Appendix B: Data Type Reference for Test Data Warehouse
  22. Appendix C: Data Type Reference for Hadoop
  23. Appendix D: Glossary

User Guide

User Guide

Back Next

Where Clause

Where Clause

You can use the Where clause to specify filter criteria in a query with the Select and Select Distinct clauses.
You can run queries that use parentheses with the Where clause. For example: 
SELECT * from Employee where NAME ='Mary' OR (NAME='Jessica' AND DEPT_ID=1)
You can use the Where clause with the following conditions in a query:
Single condition
Use the following syntax: 
SELECT * FROM <table_name> WHERE <column_name> = <column_value>
For example: 
SELECT * FROM customers WHERE state = 'California'
And
Use the following syntax: 
SELECT * FROM <table_name> WHERE <column_name> = <column_value> AND <column_value> <operator> <column_value>
For example: 
SELECT * FROM customers WHERE state = 'California' AND company_name = 'Informatica'
OR
Use the following syntax: 
SELECT * FROM <table_name> WHERE <column_name> = <column_value> OR <column_name> <operator> <column_value>
For example: 
SELECT * FROM customers WHERE state = 'California' OR company_name = 'Informatica'
Combining OR and AND
Use the following syntax: 
SELECT * FROM <table_name> WHERE <column_name> = <column_value> OR <column_name> <operator> <column_value> AND <column_name> <operator> <column_value>
For example: 
SELECT * FROM customers WHERE state = 'California' OR available_credit > 500 and revenue < 90
Joining and where
Use the following syntax: 
SELECT columns FROM <table 1> LEFT OUTER JOIN <table 2> ON <table 1>.<col 1> = <table 2>.<col 1> WHERE <table 1>.<col 1> <operator> <column_value>
For example: 
SELECT suppliers.supplier_id, suppliers.supplier_name, orders.order_date FROM suppliers LEFT OUTER JOIN orders ON suppliers.supplier_id = orders.supplier_id WHERE supplier.supplier_id > 10
Exists
Use the following syntax: 
SELECT DISTINCT <col 1> FROM <table 2> WHERE EXISTS (SELECT * FROM <table 2> WHERE <table 1>.<col 1> <operator> <table 1>.<col 1>)
For example: 
SELECT DISTINCT store_type FROM stores WHERE EXISTS (SELECT * FROM cities_stores WHERE cities_stores.store_type = stores.store_type)
In
Use the following syntax: 
SELECT * FROM <table 1> WHERE <col 1> IN (SELECT <col 1> FROM <table 2>)
For example: 
SELECT * FROM Employee WHERE dept_id IN (SELECT DEPT_ID FROM TDWDEPT)
Like
Use the following syntax: 
SELECT * FROM <table 1> WHERE <col 1> LIKE <value>
You can use characters or wildcards '%' and '_'. For example: 
SELECT * FROM Employee WHERE name LIKE 'J%'
Is Null or Is Not Null
Use the following syntax: 
SELECT * FROM <table 1> WHERE <col 1> IS NULL
For example: 
SELECT * FROM Employee WHERE ssn IS NULL
Between
Use the following syntax: 
SELECT * FROM <table 1> WHERE <col 1> BETWEEN <value> AND <value>
For example: 
SELECT * FROM Employee WHERE delt_id BETWEEN 2 AND 3
Not
Use the following syntax: 
SELECT * FROM <table 1> WHERE <col 1> NOT <CONDITION> <value>
For example: 
SELECT DISTINCT * from STATE s WHERE NOT EXISTS (SELECT ct.state_id from city ct where ct.state_id = s.state_id)
SELECT * FROM Employee WHERE dept_id NOT IN (SELECT DEPT_ID FROM TDWDEPT)
SELECT * FROM Employee WHERE name NOT LIKE 'J%'
SELECT * FROM Employee WHERE delt_id NOT BETWEEN 2 AND 3
0 COMMENTS
We’d like to hear from you!