# Finding the Top n Within a Group

Question:
[Joe Celko’s Best Salesmen by Territory Puzzle]

Martin Tillinger posted this problem on the MSAccess forum of CompuServe. How do you get the top three salesmen in each territory, given a table of SalesReport that looks like this?

`    CREATE TABLE SalesReport        (name CHAR(20) NOT NULL REFERENCES Salesmen(name),        territory INTEGER NOT NULL,        amount DECIMAL (8,2) NOT NULL);`

The following query gives the highest SalesReport the rank of 1, the next highest the rank of 2 and so forth. The query can handle ties within a rank. If the territory has less than (n) members, then it will return all the members.

`    SELECT S0.territory, S0.name, S0.amount,            (SELECT COUNT(DISTINCT amount)                FROM SalesReport AS S1                WHERE (S1.amount >= S0.amount)                    AND (S1.territory = S0.territory)) AS rank        FROM SalesReport AS S0        WHERE rank <= 3; -- adjustable parameter`
The problem was that Mr. Tillinger was working with Microsoft Access, which does not have a COUNT (DISTINCT x) function, so he tried to do the query without it:
`    SELECT S0.territory, S0.name, S0.amount,            (SELECT COUNT(amount)                FROM SalesReport AS S1                WHERE (S1.amount >= S0.amount)                    AND (S1.territory = S0.territory)) AS rank        FROM SalesReport AS S0        WHERE rank <= 3; -- adjustable parameter`
The problem is that ties get decided wrong. For example given:
`    SalesReport    name  territory  amount     =======================    Wilson      1   \$990.00    Smith       1   \$950.00    Richards    1   \$800.00    Quinn       1   \$700.00    Parker      1   \$345.00    Jones       1   \$345.00    Hubbard     1   \$345.00    Date        1   \$200.00    Codd        1   \$200.00    Blake       1   \$100.00`
`    DISTINCT Result    name  territory  amount rank    ============================    Wilson      1   \$990.00  1    Smith       1   \$950.00  2    Richards    1   \$800.00  3    Quinn       1   \$700.00  4    Parker      1   \$345.00  5    Jones       1   \$345.00  5    Hubbard     1   \$345.00  5    Date        1   \$200.00  6    Codd        1   \$200.00  6    Blake       1   \$100.00  7`
`    Un-DISTINCT Result    name  territory  amount rank    ============================    Wilson      1   \$990.00  1    Smith       1   \$950.00  2    Richards    1   \$800.00  3    Quinn       1   \$700.00  4    Parker      1   \$345.00  6    Jones       1   \$345.00  6    Hubbard     1   \$345.00  6    Date        1   \$200.00  8    Codd        1   \$200.00  8    Blake       1   \$100.00  9`
The ties cause gaps and mess up the ability you had to use the rank column to select (n) items. There are also other problems in certain statistics due to the gaps.

Puzzle provided courtesy of:
Joe Celko
[email protected]

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