Hi, I'm Ask INFA!
What would you like to know?
ASK INFAPreview
Please to access Ask INFA.

Table of Contents

Search

  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Expression transformation
  7. Filter transformation
  8. Input transformation
  9. Joiner transformation
  10. Lookup transformation
  11. Mapplet transformation
  12. Normalizer transformation
  13. Output transformation
  14. Rank transformation
  15. Router transformation
  16. Sequence transformation
  17. Sorter transformation
  18. SQL transformation
  19. Union transformation

Transformations

Transformations

Query processing

Query processing

You can configure the SQL transformation to process a user-entered query that runs against a Microsoft SQL Server or Oracle database. When you configure the SQL transformation to process a query, you create an active transformation. The transformation can return multiple rows for each input row.
When you enter a query, you can format the SQL and validate the syntax. Alternatively, you can create a string parameter to define the query in the mapping task.
You can create the following types of SQL queries:
Static SQL query
The query statement does not change, but you can use query parameters to change the data.
Data Integration
prepares the SQL query once and runs the query for all input rows.
Dynamic SQL query
You can change the query statements and the data.
Data Integration
prepares an SQL query for each input row.
You can optimize performance by creating static queries.

0 COMMENTS

We’d like to hear from you!