This works fine:
test_ltree=> SELECT path, trans_amt FROM testcat;
path | trans_amt
-----------------------------------------+-----------
TOP.Transportation.Auto.Fuel | 50.00
TOP.Transportation.Auto.Maintenance | 30.00
TOP.Transportation.Auto.Fuel | 25.00
TOP.Transportation.Bicycle.Gear | 40.00
TOP.Transportation.Bicycle.Gear | 20.00
TOP.Transportation.Fares.Bus | 10.00
TOP.Transportation.Fares.Train | 5.00
TOP.Groceries.Food.Beverages | 30.00
TOP.Groceries.Food.Fruit_Veggies | 40.00
TOP.Groceries.Food.Meat_Fish | 80.00
TOP.Groceries.Food.Grains_Cereals | 30.00
TOP.Groceries.Beverages.Alcohol.Beer | 25.00
TOP.Groceries.Beverages.Alcohol.Spirits | 10.00
TOP.Groceries.Beverages.Alcohol.Wine | 50.00
TOP.Groceries.Beverages.Juice | 45.00
TOP.Groceries.Beverages.Other | 15.00
(16 rows)
So if I want to see:
TOP.Groceries | 240.00
TOP.Transportation | 180.00
Hello Don,
Perhaps I am missing something about what your constraints are, or what you're
trying to achieve, but is there any reason you could not use a series of joined
tables indicating parent-child relationships? The following example follows
that in your previous posts. Note that this approach (as given) will not work
if branches stemming from the same node are different lengths. That is, if you
have costs associated with "Transportation.Bicycle.Gear", you could not also
have a category "Transportation.Bicycle.Gear.Chain_ring". (To add the latter
category, you'd have to put costs from the former under something like
"Transportation.Bicycle.Gear.General" -- or modify the approach.) However,
lengthening the "Alcohol" branches, e.g., by tacking on a level5 table would be
easy. Notice that level3 and level4 are not true look-up tables, since they
may contain duplicate cat values.
If I'm off base, by all means specify just how.
Regards,
Bryan
--------------------------------------------------
CREATE TABLE level1 (
cat text PRIMARY KEY
);
CREATE TABLE level2 (
cat text PRIMARY KEY,
parent text REFERENCES level1(cat)
);
CREATE TABLE level3 (
cat text,
parent text REFERENCES level2(cat),
cost numeric(6,2)
);
CREATE TABLE level4 (
cat text,
parent text,
cost numeric(6,2)
);
INSERT INTO level1
VALUES ('Transportation'),
('Groceries');
INSERT INTO level2
VALUES ('Auto', 'Transportation'),
('Bicycle', 'Transportation'),
('Fares', 'Transportation'),
('Food', 'Groceries'),
('Beverages', 'Groceries');
INSERT INTO level3
VALUES ('Fuel', 'Auto', 50.00),
('Maintenance', 'Auto', 30.00),
('Fuel', 'Auto', 25.00),
('Gear', 'Bicycle', 40.00),
('Gear', 'Bicycle', 20.00),
('Bus', 'Fares', 10.00),
('Train', 'Fares', 5.00),
('Beverages', 'Food', 30.00),
('Fruit_Veg', 'Food', 40.00),
('Meat_Fish', 'Food', 80.00),
('Grains_Cereals', 'Food', 30.00),
('Alcohol', 'Beverages', NULL),
('Juice', 'Beverages', 45.00),
('Other', 'Beverages', 15.00);
INSERT INTO level4
VALUES ('Beer', 'Alcohol', 25.00),
('Spirits', 'Alcohol', 10.00),
('Wine', 'Alcohol', 50.00);
CREATE VIEW all_cats AS (
SELECT a.cat AS level4,
b.cat AS level3,
c.cat AS level2,
d.cat AS level1,
CASE WHEN a.cost IS NULL THEN 0
WHEN a.cost IS NOT NULL THEN a.cost
END
+ CASE WHEN b.cost IS NULL THEN 0
WHEN b.cost IS NOT NULL THEN b.cost
END AS cost
FROM level4 a
FULL JOIN
level3 b
ON (a.parent = b.cat)
FULL JOIN
level2 c
ON (b.parent = c.cat)
FULL JOIN
level1 d
ON (c.parent = d.cat)
ORDER BY level1, level2, level3, level4
);
SELECT * FROM all_cats;
level4 | level3 | level2 | level1 | cost
---------+----------------+-----------+----------------+-------
Beer | Alcohol | Beverages | Groceries | 25.00
Spirits | Alcohol | Beverages | Groceries | 10.00
Wine | Alcohol | Beverages | Groceries | 50.00
| Juice | Beverages | Groceries | 45.00
| Other | Beverages | Groceries | 15.00
| Beverages | Food | Groceries | 30.00
| Fruit_Veg | Food | Groceries | 40.00
| Grains_Cereals | Food | Groceries | 30.00
| Meat_Fish | Food | Groceries | 80.00
| Fuel | Auto | Transportation | 50.00
| Fuel | Auto | Transportation | 25.00
| Maintenance | Auto | Transportation | 30.00
| Gear | Bicycle | Transportation | 20.00
| Gear | Bicycle | Transportation | 40.00
| Bus | Fares | Transportation | 10.00
| Train | Fares | Transportation | 5.00
(16 rows)
SELECT level1,
count(cost) AS num_branches,
sum(cost) AS total_cost
FROM all_cats
GROUP BY level1
ORDER BY level1;
level1 | num_branches | total_cost
----------------+--------------+------------
Groceries | 9 | 325.00
Transportation | 7 | 180.00
(2 rows)
