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advanced_grouping_and_OVER.sql
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286 lines (226 loc) · 8.44 KB
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-- ********************************************************************************
-- * DATAWAREHOUSE INSPIRED SQL FEATURES
-- * (this was run in PostgresSQL)
-- ********************************************************************************
DROP TABLE IF EXISTS saltime;
CREATE TABLE saltime (
sales INT,
y INT,
mon INT
);
INSERT INTO saltime VALUES (13, 2014, 1);
INSERT INTO saltime VALUES (26, 2014, 1);
INSERT INTO saltime VALUES (15, 2014, 2);
INSERT INTO saltime VALUES (5, 2014, 2);
INSERT INTO saltime VALUES (100, 2015, 1);
INSERT INTO saltime VALUES (50, 2015, 1);
INSERT INTO saltime VALUES (200, 2015, 2);
-- write a SINGLE query that returns total sales, sales per year, and sales per year, month
SELECT sum(sales) AS ttl, NULL::int AS y, NULL::int AS m,
0 AS grp_year, 0 AS grp_mon
FROM saltime
UNION ALL
SELECT sum(sales) AS ttl, y, NULL::int AS mon,
1 AS grp_year, 0 AS grp_mon
FROM saltime GROUP BY y
UNION ALL
SELECT sum(sales) AS ttl, y, mon,
1 AS grp_year, 1 AS grp_mon
FROM saltime GROUP BY y, mon;
-- null values
INSERT INTO saltime VALUES (200, 2015, NULL);
-- with GROUPING SETS
SELECT sum(sales) AS ttl, y, mon
FROM saltime
GROUP BY GROUPING SETS ((), (y), (y,mon));
SELECT sum(sales) AS ttl, y, mon,
1 - grouping(y) AS grp_year, 1 - grouping(mon) AS grp_mon
FROM saltime
GROUP BY GROUPING SETS ((), (y), (y,mon));
SELECT sum(sales) AS ttl, y, mon,
1 - grouping(y) AS grp_year, 1 - grouping(mon) AS grp_mon
FROM saltime
GROUP BY ROLLUP(y, mon);
-- ********************************************************************************
-- * EXAMPLE DATA
-- ********************************************************************************
DROP TABLE IF EXISTS sal;
CREATE TABLE sal (shop TEXT, sales INT, month INT);
INSERT INTO sal VALUES ('chicago', 10 , 1);
INSERT INTO sal VALUES ('chicago', 5 , 2);
INSERT INTO sal VALUES ('chicago', 18 , 3);
COMMIT;
-- ********************************************************************************
-- * WHY WINDOW FUNCTIONS?
-- ********************************************************************************
SELECT * FROM sal;
-- shop | sales | month
-- ---------+-------+-------
-- chicago | 10 | 1
-- chicago | 5 | 2
-- chicago | 18 | 3
-- (3 rows)
SELECT sum(sales), month FROM sal GROUP BY month;
-- sum | month
-- -----+-------
-- 5 | 2
-- 18 | 3
-- 10 | 1
-- (3 rows)
INSERT INTO sal VALUES ('schaumburg', 1 , 1);
INSERT INTO sal VALUES ('schaumburg', 2 , 2);
INSERT INTO sal VALUES ('schaumburg', 3 , 3);
SELECT sum(sales), month FROM sal GROUP BY month;
-- sum | month
-- -----+-------
-- 7 | 2
-- 21 | 3
-- 11 | 1
-- (3 rows)
SELECT shop, month, sales, sum(sales) OVER (PARTITION BY shop
ORDER BY month) AS rollsum
FROM sal
ORDER BY shop, month;
-- ********************************************************************************
-- * WINDOW FUNCTIONS
-- ********************************************************************************
-- SELECT sum(sales) OVER (ORDER BY month) AS s , month FROM sal;
-- compute an accumulative sum ordering by month without using window functions
WITH msal AS (SELECT sum(sales) AS s, month FROM sal GROUP BY month)
SELECT sum(a.s), b.month
FROM msal a, msal b
WHERE a.month <= b.month
GROUP BY b.month;
-- Sum | month
-- -----+-------
-- 18 | 2
-- 39 | 3
-- 11 | 1
-- (3 rows)
-- ********************************************************************************
-- * ADVANCED GROUPING
-- ********************************************************************************
-- manual computation of total sales and sales per month (using NULL to make it union compatible)
SELECT sum(sales) AS s, NULL AS month FROM sal UNION ALL (SELECT sum(sales) AS s, month FROM sal GROUP BY month);
-- s | month
-- ----+-------
-- 39 |
-- 7 | 2
-- 21 | 3
-- 11 | 1
-- (4 rows)
-- this representation is ambiguous if the group-by attribute(s) have NULL values
INSERT INTO sal VALUES ('schaumburg', 15 , NULL);
SELECT sum(sales) AS s, NULL AS month FROM sal UNION ALL (SELECT sum(sales) AS s, month FROM sal GROUP BY month) ;
-- s | month
-- ----+-------
-- 54 |
-- 15 |
-- 7 | 2
-- 21 | 3
-- 11 | 1
-- (5 rows)
-- solution: create an additional attribute that stores the grouping that was used
SELECT sum(sales) AS s, NULL AS month, '()' AS grp FROM sal UNION ALL (SELECT sum(sales) AS s, month, '(month)' AS grp FROM sal GROUP BY month) ;
-- s | month | grp
-- ----+-------+---------
-- 54 | | ()
-- 15 | | (month)
-- 7 | 2 | (month)
-- 21 | 3 | (month)
-- 11 | 1 | (month)
-- (5 rows)
-- to make it more efficient and easier to query this information let's use boolean attributes:
SELECT sum(sales) AS s, NULL AS month, 0 AS grpMonth FROM sal UNION ALL (SELECT sum(sales) AS s, month, 1 AS grpMonth FROM sal GROUP BY month) ;
-- s | month | grpmonth
-- ----+-------+----------
-- 54 | | 0
-- 15 | | 1
-- 7 | 2 | 1
-- 21 | 3 | 1
-- 11 | 1 | 1
-- (5 rows)
-- the GROUPING SETS simplifies the specification of such queries
SELECT sum(sales) AS s, month FROM sal GROUP BY GROUPING SETS ((), (month));
-- s | month
-- ----+-------
-- 54 |
-- 15 |
-- 7 | 2
-- 21 | 3
-- 11 | 1
-- (5 rows)
-- grouping(attr) resolves the ambiguity mentioned above
SELECT sum(sales) AS s, month, grouping(month) AS grpmonth FROM sal GROUP BY GROUPING SETS ((), (month));
-- s | month | grpmonth
-- ----+-------+----------
-- 54 | | 1
-- 15 | | 0
-- 7 | 2 | 0
-- 21 | 3 | 0
-- 11 | 1 | 0
-- (5 rows)
SELECT sum(sales) AS s, month, grouping(month) AS grpmonth, grouping(shop) AS grpshop FROM sal GROUP BY GROUPING SETS (()
-- s | month | grpmonth | grpshop
-- ----+-------+----------+---------
-- 54 | | 1 | 1
-- 15 | | 0 | 1
-- 7 | 2 | 0 | 1
-- 21 | 3 | 0 | 1
-- 11 | 1 | 0 | 1
-- 33 | | 1 | 0
-- 21 | | 1 | 0
-- (7 rows)
SELECT sum(sales) AS s, month, grouping(month) AS grpmonth, grouping(shop) AS grpshop FROM sal GROUP BY GROUPING SETS ((), (month), (shop), (month, shop));
-- s | month | grpmonth | grpshop
-- ----+-------+----------+---------
-- 54 | | 1 | 1
-- 15 | | 0 | 0
-- 5 | 2 | 0 | 0
-- 3 | 3 | 0 | 0
-- 10 | 1 | 0 | 0
-- 1 | 1 | 0 | 0
-- 18 | 3 | 0 | 0
-- 2 | 2 | 0 | 0
-- 15 | | 0 | 1
-- 7 | 2 | 0 | 1
-- 21 | 3 | 0 | 1
-- 11 | 1 | 0 | 1
-- 33 | | 1 | 0
-- 21 | | 1 | 0
-- (14 rows)
-- CUBE groups on all subsets of the provided set of attributes
SELECT sum(sales) AS s, month, grouping(month) AS grpmonth, grouping(shop) AS grpshop FROM sal GROUP BY CUBE (month, shop);
-- s | month | grpmonth | grpshop
-- ----+-------+----------+---------
-- 54 | | 1 | 1
-- 15 | | 0 | 0
-- 5 | 2 | 0 | 0
-- 3 | 3 | 0 | 0
-- 10 | 1 | 0 | 0
-- 1 | 1 | 0 | 0
-- 18 | 3 | 0 | 0
-- 2 | 2 | 0 | 0
-- 15 | | 0 | 1
-- 7 | 2 | 0 | 1
-- 21 | 3 | 0 | 1
-- 11 | 1 | 0 | 1
-- 33 | | 1 | 0
-- 21 | | 1 | 0
-- (14 rows)
-- ********************************************************************************
-- order dependent aggregation functions
-- rank
SELECT shop, month, rank() OVER (ORDER BY month DESC)
FROM sal;
-- dense_rank
SELECT shop, month, row_rank() OVER (ORDER BY month DESC)
FROM sal;
-- first_value
SELECT shop, month, first_value(month) OVER (ORDER BY month)
FROM sal;
-- access first element of window
SELECT shop, month,
sum(month) OVER (ORDER BY month RANGE BETWEEN 1 PRECEDING AND CURRENT ROW) AS prepluscur,
first_value(month) OVER (ORDER BY month RANGE BETWEEN 1 PRECEDING AND CURRENT ROW) AS fmon
FROM sal;