Use AI to generate GROUP BY statements for aggregating data in SQL
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The GROUP BY clause in SQL is used to group
rows that have the same values in specified columns into
aggregated data. It is often used with aggregate functions
like COUNT
, SUM
, AVG
,
MAX
, and MIN
to perform calculations
on each group of rows.
SELECT column1, aggregate_function(column2)
FROM table_name
GROUP BY column1;
Suppose you have a table named Orders with the following data:
OrderID | CustomerID | Amount |
---|---|---|
1 | 1 | 100 |
2 | 1 | 200 |
3 | 2 | 150 |
4 | 2 | 300 |
To find the total amount spent by each customer, you can use the following query:
SELECT CustomerID, SUM(Amount) AS TotalAmount
FROM Orders
GROUP BY CustomerID;
Result:
CustomerID | TotalAmount |
---|---|
1 | 300 |
2 | 450 |
SELECT
clause must either be in
the GROUP BY
clause or be used with an
aggregate function.
GROUP BY
clause.
GROUP BY
without an aggregate function,
which may not produce the desired results.
The GROUP BY clause is a powerful tool in SQL for summarizing and analyzing data. By understanding how to use it effectively, you can gain valuable insights from your datasets.