Skip to main content

How do you identify existing rows of data in the target table using lookup transformation?



                                                                                                                                                                      
Scenario:
How do you identify existing rows of data in the target table using lookup transformation?

Solution:

There are two ways to lookup the target table to verify a row exists or not:
1. Use connect dynamic cache lookup and then check the values of NewLookuprow Output port to decide whether the incoming record already exists in the table / cache or not.

2. Use Unconnected lookup and call it from an expression transformation and check the Lookup condition port value (Null/ Not Null) to decide whether the incoming record already exists in the table or not.

Comments

Popular posts from this blog

SQL Transformation with examples

============================================================================================= SQL Transformation with examples   Use : SQL Transformation is a connected transformation used to process SQL queries in the midstream of a pipeline . We can insert, update, delete and retrieve rows from the database at run time using the SQL transformation. Use SQL transformation in script mode to run DDL (data definition language) statements like creating or dropping the tables. The following SQL statements can be used in the SQL transformation. Data Definition Statements (CREATE, ALTER, DROP, TRUNCATE, RENAME) DATA MANIPULATION statements (INSERT, UPDATE, DELETE, MERGE) DATA Retrieval Statement (SELECT) DATA Control Language Statements (GRANT, REVOKE) Transaction Control Statements (COMMIT, ROLLBACK) Scenario: Let’s say we want to create a temporary table in mapping while workflow is running for some intermediate calculation. We can use SQL transformat...

Informatica Quiz: Set 1

                                                                                                                                                                    ...

Convert Numeric Value to Date Format

                                                                                                                                                                     ...