Re: Summing & Grouping in a Hierarchical Structure - Mailing list pgsql-sql

From Don Parris
Subject Re: Summing & Grouping in a Hierarchical Structure
Date
Msg-id CAJ-7yo=DOyy93794imz3MRStZRosMpe1OV7Bv=0niP75=hO0Tg@mail.gmail.com
Whole thread Raw
In response to Re: Summing & Grouping in a Hierarchical Structure  (Misa Simic <misa.simic@gmail.com>)
Responses Re: Summing & Grouping in a Hierarchical Structure
Re: Summing & Grouping in a Hierarchical Structure
List pgsql-sql
Misa,

Is it possible to use spaces in the ltree path, like so:  TOP.Groceries.Food.Herbs & Spices

Or do the elements of the path have to use underscores and dashes?


On Sat, Feb 23, 2013 at 7:19 AM, Misa Simic <misa.simic@gmail.com> wrote:
Hi Don,

Yes, its better to use it in category table...

Bryan, how many levels there will be - we dont know...

With one table - and ltree is solved all cases...

To add new subcategory user just picks the parent category... So it is easy to add chain ring to gear... As category...

In another transaction table is category_id, amount...


Don already posted query for sum... In these case just category and transaction table should be joined  sum amount, group by functions on lpath....(depending what is the goal...)

Kind Regards,

Misa



On Saturday, February 23, 2013, Bryan L Nuse wrote:


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)




--
D.C. Parris, FMP, Linux+, ESL Certificate
Minister, Security/FM Coordinator, Free Software Advocate
GPG Key ID: F5E179BE

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