How can I summarize / pivot data with oracle sql - sql

Question

I have a table containing geological resource information.
| Property | Zone | Area | Category | Tonnage | Au_gt | Au_oz |
|----------|------|-------------|-----------|---------|-------|-------|
| Ket | Eel | Open Pit | Measured | 43400 | 5.52 | 7700 |
| Ket | Eel | Open Pit | Inferred | 51400 | 5.88 | 9700 |
| Ket | Eel | Open Pit | Indicated | 357300 | 6.41 | 73600 |
| Ket | Eel | Underground | Measured | 3300 | 7.16 | 800 |
| Ket | Eel | Underground | Inferred | 14700 | 6.16 | 2900 |
| Ket | Eel | Underground | Indicated | 168100 | 8.85 | 47800 |
I would like to summarize the data so that it can be read more easily by our clients.
| Property | Zone | Category | Open_Pit_Tonnage | Open_Pit_Au_gt | Open_Pit_Au_oz | Underground_tonnage | Underground_au_gt | Underground_au_oz | Combined_tonnage | Combined_au_gt | Combined_au_oz |
|----------|------|-----------|------------------|----------------|----------------|---------------------|-------------------|-------------------|------------------|----------------|----------------|
| Ket | Eel | Measured | 43,400 | 5.52 | 7,700 | 3,300 | 7.16 | 800 | 46,700 | 5.64 | 8,500 |
| Ket | Eel | Indicated | 357,300 | 6.41 | 73,600 | 168,100 | 8.85 | 47,800 | 525,400 | 7.19 | 121,400 |
| Ket | Eel | Inferred | 51,400 | 5.88 | 9,700 | 14,700 | 6.16 | 2,900 | 66,100 | 5.94 | 12,600 |
I'm fairly new to pivot tables. How could I write a query to translate and summarize the data?
Thanks!

Answer 1

If your Oracle version is 11.1 or higher (which it should be if you are a relatively new user!) then you can use the PIVOT operator, as shown below.
Note that the result of the PIVOT operation can be given an alias (I used p) - this makes it easier to write the SELECT clause.
I assumed the name of your table is geological_data - replace it with your actual table name.
select p.*
, open_pit_tonnage + underground_tonnage as combined_tonnage
, open_pit_au_gt + underground_au_gt as combined_au_gt
, open_pit_au_oz + underground_au_oz as combined_au_oz
from geological_data
pivot (sum(tonnage) as tonnage, sum(au_gt) as au_gt, sum(au_oz) as au_oz
for area in ('Open Pit' as open_pit, 'Underground' as underground)) p
;

Answer 2

Conditional aggregation is a simple method:
select Property, Zone, Category,
max(case when area = 'Open Pit' then tonnage end) as open_pit_tonnage,
max(case when area = 'Open Pit' then Au_gt end) as open_pit_Au_gt,
max(case when area = 'Open Pit' then Au_oz end) as open_pit_Au_ox,
max(case when area = 'Underground' then tonnage end) as Underground_tonnage,
max(case when area = 'Underground' then Au_gt end) as Underground_Au_gt,
max(case when area = 'Underground' then Au_oz end) as Underground_Au_ox
from t
group by Property, Zone, Category

Answer 3

SQL Server PIVOT operator is used to convert rows to columns.
Goal is to turn the category names from the first column of the output into multiple columns and count the number of products for each category
This query reference can be taken into account for you above table:
SELECT * FROM
(
SELECT
category_name,
product_id,
model_year
FROM
production.products p
INNER JOIN production.categories c
ON c.category_id = p.category_id
) t
PIVOT(
COUNT(product_id)
FOR category_name IN (
[Children Bicycles],
[Comfort Bicycles],
[Cruisers Bicycles],
[Cyclocross Bicycles],
[Electric Bikes],
[Mountain Bikes],
[Road Bikes])
) AS pivot_table;