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GROUP BY combines multiple rows into one row. Here’s how it works for this table & query:
SELECT item, (COUNT(*), MAX(price)
FROM sales
GROUP BY item
(COUNT(*), MAX(price) aggregates
sales:
| item | price |
|---|---|
| catnip | 5 |
| laser | 8 |
| tuna | 4 |
| tuna | 3 |
query output:
| item | count | price |
|---|---|---|
| catnip | 1 | 5 |
| laser | 1 | 8 |
| tuna | 2 | 4 |
- Split the table into groups for each value that you grouped by:
item=‘catnip’
| item | price |
|---|---|
| catnip | 5 |
item=‘laser’
| item | price |
|---|---|
| laser | 8 |
item=‘tuna’
| item | price |
|---|---|
| tuna | 4 |
| tuna | 3 |
- Calculate the aggregates from the query for each group:
| item | price |
|---|---|
| catnip | 5 |
COUNT(*)=1
MAX(price)=5
| item | price |
|---|---|
| laser | 8 |
COUNT(*)=1
MAX(price)=8
| item | price |
|---|---|
| tuna | 4 |
| tuna | 3 |
COUNT(*)=2
MAX(price)=4
- Create a result set with 1 row for each group
| item | count | price |
|---|---|---|
| catnip | 1 | 5 |
| laser | 1 | 8 |
| tuna | 2 | 4 |
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