Error No Match Found For Lookup
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13, 20136 0 0 0 Guys, Recently, I had to implement a lot of data warehousing solutions, hence I stumbled on an error in the SSIS Lookup transform task which I wanted to share. Most of my package tasks https://blogs.msdn.microsoft.com/dataaccesstechnologies/2013/03/13/lookup-transform-error-row-yielded-no-match-during-lookup/ went on fine till it hit the below error in the Lookup task after matching over a million rows. I then realized the default behavior of a lookup is to fail when there is a no-match. http://etl-developer.com/2010/12/informatica-lookup-transformation-use-any-value/ That is happening because I was using the default error configuration of the Lookup task "Fail Component"; it would fail if a no match occurs. I needed to change that to ‘Redirect row' and then use match found the error output of the task to send those rows to where ever I wanted. So, when you configure a lookup transformation to ‘redirect error' all no-matched rows are sent to the error output instead of failing the task (the error I originally received); obviously those error rows will have null in the columns that the lookup transformation added. Then, based on requirements, one can decide what to do with those errors. E.g. no match found for a data warehouse you may want to replace the nulls by default values and insert them to the destination table; and/or you can decide to send them to a custom error table. Below are the steps I took: -We changed the Lookup Task property to “Redirect Rows to Error Output” After configuring the error output, I created Flat File destination, redirected error to the flat file. Now the lookup completes without errors. It may still fail with the same error for other lookup tasks (if any) in the package; we need to repeat the above steps for each of the Lookup tasks. If there were any "bad rows" i.e. rows not matching Lookup Criteria, they will be dumped in the flat file configured above. So we would be able to figure out the "bad data" this way. It is also worth mentioning that SSIS Lookup transforms are case sensitive i.e. there will be a no-match condition even if there is a difference in the case and that was exactly what happened with me. Happy Looking up! J Author : Debarchan(MSFT) SQL Developer Engineer, Microsoft Reviewed by : Snehadeep(MSFT), SQL Developer Technical Lead , Microsoft Comments (6) Cancel reply Name * Email * Website Dinesh Vishe says: May 12, 2015 at 7:34 pm Good Reply sandeep k
2010•12 Comments For those of you who have limited/no Informatica Power Center experience before, this is one of the options you can select when you use a look up transformation in your mapping. I'll first explain the background as to why this is a serious problem and then move on to explaining what it has to do with the Informatica look up transformation. Database - Dupes, Rownum/Top and Distinct If you have worked with Databases and Queries , you might have seen the wrong usage of the DISTINCT keyword (or) “where rownum = 1” clause for Oracle and “Top” clause for SQL Server. Developers sometimes have the tendency to eliminate duplicate rows by using these “shortcuts” instead of debugging the actual reason as to why the result set has duplicates. Sometimes, the query is generated automatically by a reporting tool which might have this option enabled. You should actually be happy if this code/logic fails soon enough and you catch it during development. Here is a small example. Consider the following customer dimension with just enough columns to illustrate the case that we are dealing with. create table customer_dim( customer_id number , customer_name varchar2(20) not null, state varchar2(2) not null, eff_start_date date not null, eff_end_date date not null, active_flag varchar2(1) not null, constraint pk_customer_dim primary key (customer_id, eff_start_date) ); insert into customer_dim values (100, 'Adam', 'MI', to_date('01-JAN-2009','DD-MON-YYYY'), to_date('31-DEC-2009','DD-MON-YYYY'), 'N'); insert into customer_dim values (100, 'Adam', 'FL', to_date('01-JAN-2010','DD-MON-YYYY'), to_date('31-DEC-9999','DD-MON-YYYY'),'Y'); insert into customer_dim values (101, 'Eve', 'TX', to_date('01-JAN-2010','DD-MON-YYYY'), to_date('31-DEC-9999','DD-MON-YYYY'), 'Y'); commit; 1234567891011121314151617181920212223 create table customer_dim(customer_id number ,customer_name varchar2(20) not null,state varchar2(2) not null,eff_start_date date not null,eff_end_date date not null,active_flag