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Resolve SQL query error: "must appear in the GROUP BY clause or be used in an aggregate function"
In SQL, when performing aggregate operations (such as MAX, MIN, SUM, etc.), the columns in the SELECT
list must appear in the GROUP BY
clause, or be included in an aggregate function. This restriction ensures that results are grouped correctly and aggregate values are calculated correctly.
For example, suppose your table contains cname
, wmname
, and avg
columns, and you want to find the maximum cname
value for each avg
. Your original query is as follows:
<code class="language-sql">SELECT cname, wmname, MAX(avg) FROM makerar GROUP BY cname;</code>
This query fails because the wmname
column is neither included in the GROUP BY
clause nor used in an aggregate function. This means that the MAX
aggregate function is evaluated without grouping by wmname
, resulting in incorrect results.
The following methods can solve this problem:
Method 1: Include wmname
in the GROUP BY
clause:
<code class="language-sql">SELECT cname, wmname, MAX(avg) FROM makerar GROUP BY cname, wmname;</code>
This method returns the maximum cname
value for each wmname
and avg
combination.
Method 2: Use subquery:
<code class="language-sql">SELECT m.cname, m.wmname, t.mx FROM ( SELECT cname, MAX(avg) AS mx FROM makerar GROUP BY cname ) t JOIN makerar m ON m.cname = t.cname AND t.mx = m.avg;</code>
This method first calculates the maximum cname
value for each avg
using a subquery and then joins it with the original table to retrieve the corresponding wmname
value.
Method 3: Use window function:
<code class="language-sql">SELECT cname, wmname, MAX(avg) OVER (PARTITION BY cname) AS mx FROM makerar;</code>
Window function MAX(avg) OVER (PARTITION BY cname)
calculates the maximum cname
value for each avg
and retains all rows in the result. However, this method may display duplicate rows if there are multiple rows with the same maximum cname
value for a given avg
.
By correctly adhering to the requirement that non-aggregate function columns must appear in the GROUP BY
clause, you can ensure that aggregate queries produce accurate and meaningful results.
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