filter values from multiple columns

  •  

    Hello All,

    I have a requirement to filter a set of values from two columns with out excluding other values from those columns.

    Here is the DDL and sample data.

    create table #tsttable
    (id int,
    cid int,
    ccode varchar(4))

    insert into #tsttable
    select 1234, 100, 'out'
    union all
    select 1234, 100, 'in1'
    union all
    select 1234, 100, 'outa'
    union all
    select 1234, 111, 'in2'
    union all
    select 5678, 100, 'in2'
    union all
    select 5678, 100, 'outa'
    union all
    select 5678, 111, 'cnty'
    union all
    select 5678, 100, 'in1'
    union all
    select 5678, 100, 'in3'
    union all
    select 9101, 111, 'stt'
    union all
    select 9101, 100, 'out'

    I have come up with two solutions using case and sub-query, looking to see any other efficient  way to do this with out sub-query.

     select *
    from #tsttable
    where 1 = (case when cid in (100, 111) and ccode in('out', 'outa', 'stt', 'cnty') THEN 0 else 1 end)

    select * from
    (select *, case when cid in (100, 111) and ccode in('out', 'outa', 'stt', 'cnty') THEN 0 else 1 end ANC
    from #tsttable)x
    where x.ANC = 1

    drop table #tsttable

    Expected data set:

    idcidccode
    1234100in1
    1234100in2
    5678100in2
    5678100in1
    5678100in3

    Thank you!

     

  • The following code seems simpler and easier to understand to me.

    SELECT *
    FROM #tsttable AS t
    WHERE t.cid NOT IN (100, 111)
    OR t.ccode NOT IN ('out', 'outa', 'stt', 'cnty')

    Using EXCEPT can also be a good option, but I don't think this is the right situation.

    Drew

    J. Drew Allen
    Business Intelligence Analyst
    Philadelphia, PA

  • Another option:

     Select *
    From #tsttable t
    Where Not (t.cid In (100, 111) And t.ccode In ('out', 'outa', 'stt', 'cnty'));

     

    Jeffrey Williams
    “We are all faced with a series of great opportunities brilliantly disguised as impossible situations.”

    ― Charles R. Swindoll

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  • Thank you! Drew & Jeffrey.

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