some-usable-scripts/README

Hello everyone

You can watch all my little scripts in C and Perl.

Enjoy !

MANGEZ

SELECT date, SUM(dollars) AS total_dollars,
	SUM(SUM(dollars)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) AS run_dollars,
	SUM(quantity) AS total_qty,
	SUM(SUM(quantity)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) AS run_qty
	FROM aroma.period a, aroma.sales b, aroma.product c
	WHERE a.perkey = b.perkey
	AND c.prodkey = b.prodkey
	AND c.classkey = b.classkey
	AND year = 2006
	AND month = 'JAN'
	AND prod_name = 'Aroma Roma'
GROUP BY date
ORDER BY date;


SUM(SUM(dollars)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) 

OVER = OLAP aggregation function

MOVING Average = moyenne sur quelques jours pour faire une courbe de la moyenne (moins en dents de scie)


SELECT date, SUM(dollars) AS total_dollars,
	SUM(SUM(dollars)) OVER(PARTITION BY week ORDER BY date
	ROWS UNBOUNDED PRECEDING) AS run_dollars,
	SUM(quantity) AS total_qty,
	SUM(SUM(quantity)) OVER(PARTITION BY week ORDER BY date
	ROWS UNBOUNDED PRECEDING) AS run_qty
	FROM aroma.period a, aroma.sales b, aroma.product c
	WHERE a.perkey = b.perkey
	AND c.prodkey = b.prodkey
	AND c.classkey = b.classkey
	AND year = 2006
	AND month = 'JAN'
	AND prod_name = 'Aroma Roma'
GROUP BY week, date
ORDER BY week, date;

PARTITION BY week = Faire la somme mais par semaine


SELECT date, SUM(dollars) AS total_dollars,
	SUM(SUM(dollars)) OVER (PARTITION BY week ORDER BY date
	ROWS UNBOUNDED PRECEDING) AS run_dollars,
	SUM(quantity) AS total_qty,
	SUM(SUM(quantity)) OVER(PARTITION BY week ORDER BY date
	ROWS UNBOUNDED PRECEDING) AS run_qty, week
	FROM aroma.period a, aroma.sales b, aroma.product c
	WHERE a.perkey = b.perkey
	AND c.prodkey = b.prodkey
	AND c.classkey = b.classkey
	AND year = 2006
	AND month = 'JAN'
	AND prod_name = 'Aroma Roma'
GROUP BY week, date
ORDER BY week, date;


SELECT prod_name, SUM(dollars) AS total_sales, SUM(quantity) AS total_qty,
	DEC(sum(dollars)/sum(quantity), 7, 2) AS price
	FROM aroma.product a, aroma.sales b, aroma.period c
	WHERE a.prodkey = b.prodkey
	AND a.classkey = b.classkey
	AND c.perkey = b.perkey
	AND year = 2004
GROUP BY prod_name
ORDER BY price;

dec(sum(dollars)/sum(quantity), 7, 2) AS price


SELECT t1.date, sales_cume_west, sales_cume_south,
	sales_cume_west - sales_cume_south AS west_vs_south
	FROM
	(SELECT date, SUM(dollars) AS total_sales,
	SUM(SUM(dollars)) OVER(ORDER BY date
	ROWS UNBOUNDED PRECEDING) AS sales_cume_west
	FROM aroma.market a,
	aroma.store b,
	aroma.sales c,
	aroma.period d
	WHERE a.mktkey = b.mktkey
	AND b.storekey = c.storekey
	AND d.perkey = c.perkey
	AND year = 2006
	AND month = 'MAR'
	AND region = 'West'
	GROUP BY date) AS t1
	JOIN 
	(SELECT date, SUM(dollars) AS total_sales,
	SUM(SUM(dollars)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) AS sales_cume_south
	FROM aroma.market a,
	aroma.store b,
	aroma.sales c,
	aroma.period d
	WHERE a.mktkey = b.mktkey
	AND b.storekey = c.storekey
	AND d.perkey = c.perkey
	AND year = 2006
	AND month = 'MAR'
	AND region = 'South'
	GROUP BY date) AS t2
ON t1.date = t2.date
ORDER BY date;




SELECT city, week, SUM(dollars) AS sales,
	DEC(AVG(SUM(dollars)) OVER(partition by city
	ORDER BY city, week ROWS 2 PRECEDING),7,2) AS mov_avg,
	SUM(SUM(dollars)) OVER(PARTITION BY city
	ORDER BY week ROWS unbounded PRECEDING) AS run_sales
	FROM aroma.store a,
	aroma.sales b,
	aroma.period c
	WHERE a.storekey = b.storekey
	AND c.perkey = b.perkey
	AND qtr = 'Q3_05'
	AND city IN ('San Jose', 'Miami')
GROUP BY city, week;


ROWS n PRECEDING (ou on peut aussi dire : FOLLOWING )



SELECT date, SUM(quantity) AS day_qty,
	DEC(SUM(SUM(quantity)) OVER(ORDER BY date
	ROWS 6 PRECEDING),7,2) AS mov_sum
	FROM aroma.sales a, aroma.period b, aroma.product c
	WHERE b.perkey = a.perkey
	AND c.classkey = a.classkey
	AND c.prodkey = a.prodkey
	AND year = 2006
	AND month = 'MAR'
	AND prod_name = 'Demitasse Ms'
GROUP BY date
ORDER BY date;