How to occurrence of specific value in a column in SQL Server

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I have a table like this:

   name col2       cnt
    B5  2.00000000  62
    B6  2.00000000  9
    B4  3.00000000  1
    B5  3.00000000  75
    B6  3.00000000  62
    B5  4.00000000  9
    B6  4.00000000  11
    B5  5.00000000  102
    B6  5.00000000  37

I want output as : B4 i.e., all the names where 2.00000000 never occurred in col2. How do I do that? I'm using SQL Server.

You can use EXISTS and a correlated subquery to check if a value of 2.00000000 exists for a name.

       FROM elbat t1
                                FROM elbat t2
                                WHERE =
                                      AND t2.col2 = 2.00000000);

(I assumed 2.00000000 is numeric. If it's a string, put single quotes around it.)

Alternatively you can use conditional aggregation to count the occurrences of 2.00000000. Use a HAVING to only keep the rows where this count is 0.

       FROM elbat t1
       GROUP BY
       HAVING count(CASE
                      WHEN t.col1 = 2.00000000 THEN
                    END) = 0

SQL SERVER, This question came up in the recent SQL Server Performance Tuning Practical Workshop. During the workshop, I have answer questions of  If you're using Oracle, then a feature called analytics will do the trick. It looks like this: select id, age, count(*) over (partition by age) from students; If you aren't using Oracle, then you'll need to join back to the counts: select, a.age, b.age_count from students a join (select age, count(*) as age_count from students group by age

select distinct
from yourtable t1
where not in (
    from yourtable t2
    where t2.col2 = 2.00000000)

How to count the number of occurrences of particular values in a , SQL: Why can't you simply add an index that includes all columns? 9,473 Views · How do I update the values of this table  I want my query to return the rows of the table where a column contains a specific value first, and then return the rest of the rows alphabetized. If I have a table something like this example: - Table: Users - id - name - city - 1 George Seattle - 2 Sam Miami - 3 John New York - 4 Amy New York - 5 Eric Chicago - 6 Nick New York

If 2.00000000 is the minimum possible value, you can do:

select name
from t
group by name
where min(col2) > 2.00000000;

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