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Home/ Questions/Q 6958495
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Editorial Team
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Editorial Team
Asked: May 27, 20262026-05-27T15:08:49+00:00 2026-05-27T15:08:49+00:00

I have a table yrs_order which has columns like: header_key (primary key) order_no ref1

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I have a table yrs_order which has columns like:

header_key (primary key)
order_no
ref1
ref2
ref3

I want to get a list of all the rows for which ref1 is identical.

How can i do this?

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  1. Editorial Team
    Editorial Team
    2026-05-27T15:08:50+00:00Added an answer on May 27, 2026 at 3:08 pm

    If you just want a specific ref1, you can use:

    select header_key from yrs_table where ref1 = 42
    

    However, I suspect you’re after all rows that share a ref1 value. If that’s the case, the first step is to get a list of all ref1 values where there are more than one:

    select ref1 from yrs_order group by ref1 having count(*) > 1
    

    Then you can use that as a subquery to get a list of all the rows:

    select header_key, ref1 from yrs_order where ref1 in (
        select ref1 from yrs_order group by ref1 having count(ref1) > 1
    )
    

    The following transcript shows this in action:

    > CREATE TABLE PAX1 (HDR_KEY INT PRIMARY KEY NOT NULL, REF1 INT);
    Table created.
    
    > INSERT INTO PAX1 (HDR_KEY, REF1) VALUES
    >>    (0,0), (1,1), (2,1), (3,1), (4,1), (5,2), (6,2), (7,3), (8,4), (9,4);
    10 rows inserted.
    
    > SELECT * FROM PAX1 ORDER BY HDR_KEY ASC;
    HDR_KEY   REF1
    =======   ====
          0      0
          1      1
          2      1
          3      1
          4      1
          5      2
          6      2
          7      3
          8      4
          9      4
    =======   ====
    10 rows fetched.
    

    That shows the creation and population of the table, now for the query requested:

    > SELECT REF1, HDR_KEY FROM PAX1 WHERE REF1 IN (
    >>    SELECT REF1 FROM PAX1 GROUP BY REF1 HAVING COUNT(*) > 1
    >>  ) ORDER BY REF1 ASC, HDR_KEY ASC;
    REF1   HDR_KEY
    ====   =======
       1         1
       1         2
       1         3
       1         4
       2         5
       2         6
       4         8
       4         9
    ====   =======
    8 rows fetched.
    

    You can see there that the two rows with a count of one have been excluded.

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