Route records as UNIQUE AND DUPLICATE

Scenario:

I HAVE A SRC TABLE AS :

A
B
C
C
B
D
B

I HAVE 2 TGT TABLES UNIQUE AND DUPLICATE :

The first table should contain the following output
A
D
The second target should contain the following output
B
B
B
C
C
hOW DO I DO THIS :

Solution:

Try the following approach.

AGG-->
SRC-->SQ--------------> JNR--> RTR-->TGT1
-->TGT2

from source pass all the data to aggregator and group by source column. one one out put port count(column)

so from agg you have two ports out puts
COLUMN,COUNT
A,1
B,2
C,2
D,1

Now join this data with source based on column.

Out put of joiner will be like below
COLUMN,COUNT
A,1
B,3
C,2
C,2
B,3
D,1
B,3

In router create two groups one for Unique and another one for duplicate

Unique=(count=1)
Duplicate=(count>1)

Comments

CMN_1650 A duplicate row was attempted to be inserted into a dynamic lookup cache Dynamic lookup error.

Scenario: I have 2 ports going through a dynamic lookup, and then to a router. In the router it is a simple case of inserting new target rows (NewRowLookup=1) or rejecting existing rows (NewRowLookup=0). However, when I run the session I'm getting the error: "CMN_1650 A duplicate row was attempted to be inserted into a dynamic lookup cache Dynamic lookup error. The dynamic lookup cache only supports unique condition keys." I thought that I was bringing through duplicate values so I put a distinct on the SQ. There is also a not null filter on both ports. However, whilst investigating the initial error that is logged for a specific pair of values from the source, there is only 1 set of them (no duplicates). The pair exists on the target so surely should just return from the dynamic lookup newrowlookup=0. Is this some kind of persistent data in the cache that is causing this to think that it is duplicate data? I haven't got the persistent cache or...

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...

Load the session statistics such as Session Start & End Time, Success Rows, Failed Rows and Rejected Rows etc. into a database table for audit/log purpose.

...

Solution for Informatica problems

Search This Blog