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Table of Contents

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  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

Custom queries

Custom queries

You can create a custom query for database lookups. You might create a custom query to reduce the number of columns to query.
To use a custom query as a lookup source, select
Query
as the source type, and then define the query. When you define the query, enter an SQL SELECT statement to select the source columns that you want to use and specify a FROM clause.
Data Integration
uses the SQL statement to retrieve source column information.
When you use a custom query in a lookup transformation, use the following format for the SQL statement:
  • For a relational database connection, use an alias for each column in the SQL statement, for example:
    SELECT COL1 AS COL1, COL2 AS COL2, COL3 AS COL3 from TABLE_NAME
  • For other types of database connections, use SQL that is valid for the source database. You can use database-specific functions in the query.
To use a custom query as a lookup source, you must enable lookup caching.
When you change a custom query in a saved mapping, at design time
Data Integration
replaces the field metadata with metadata using the revised query. Typically, this is the desired behavior. However, if the mapping uses a relational source and you want to retain the original metadata, use the
Retain existing field metadata
option, which is available in the following connectors:
  • JDBC V2 Connector
  • PostgreSQL Connector
  • MongoDB V2 Connector
  • Couchbase Connector
When you use the
Retain existing field metadata
option,
Data Integration
doesn't refresh the field metadata during design time.
Data Integration
maps the existing fields with the fields from the revised query at run time. Fields that can't be mapped will cause run time failure.
Test the SQL statement you want to use on the source database before you create a custom query.
Data Integration
does not display specific error messages for invalid SQL statements.

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