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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T09:37:37+00:00 2026-05-12T09:37:37+00:00

I have two tables TABLE_A and TABLE_B having the joined column as the employee

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I have two tables TABLE_A and TABLE_B having the joined column as the employee number EMPNO.

I want to do a normal left outer join. However, TABLE_B has certain records that are soft-deleted (status='D'), I want these to be included. Just to clarify, TABLE_B could have active records (status= null/a/anything) as well as deleted records, in this case i don’t want that employee in my result. If however there are only deleted records of the employee in TABLE_B i want the employee to be included in the result.I hope i’m making my requirement clear. (I could do a lengthy qrslt kind of thingy and get what I want, but I figure there has to be a more optimized way of doing this using the join syntax). Would appreciate any suggestions(even without the join). His newbness is trying the following query without the desired result:

SELECT TABLE_A.EMPNO
FROM   TABLE_A
LEFT OUTER JOIN TABLE_B ON TABLE_A.EMPNO = TABLE_B.EMPNO AND TABLE_B.STATUS<>'D' 

Much appreciate any help.

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  1. Editorial Team
    Editorial Team
    2026-05-12T09:37:37+00:00Added an answer on May 12, 2026 at 9:37 am

    ah crud, this apparently works ><

    SELECT TABLE_A.EMPNO
    FROM   TABLE_A
    LEFT OUTER JOIN TABLE_B ON TABLE_A.EMPNO = TABLE_B.EMPNO 
    where TABLE_B.STATUS<>'D'
    

    If you guys have any extra info to chime in with though, please feel free.

    UPDATE:
    Saw this question after sometime and thought i’ll add more helpful info: This link has good info regarding ANSI syntax – http://www.oracle-base.com/articles/9i/ANSIISOSQLSupport.php

    In particular this part from the linked page is informative:

    Extra filter conditions can be added to the join to using AND to form a complex join. These are often necessary when filter conditions are required to restrict an outer join. If these filter conditions are placed in the WHERE clause and the outer join returns a NULL value for the filter column the row would be thrown away. if the filter condition is coded as part of the join the situation can be avoided.

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