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lab2-3.sql

Lines changed: 40 additions & 108 deletions
Original file line numberDiff line numberDiff line change
@@ -2,24 +2,24 @@
22
USE library
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SELECT title
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FROM title
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WHERE title_no=10;
5+
WHERE title_no = 10;
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77
USE library
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SELECT member_no
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FROM loanhist
10-
WHERE isnull(fine_assessed,0) > isnull(fine_paid,0) + isnull(fine_waived,0)
10+
WHERE isnull(fine_assessed, 0) > isnull(fine_paid, 0) + isnull(fine_waived, 0)
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1212
USE library
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SELECT DISTINCT city, state
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FROM adult
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USE library
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SELECT (lower(firstname + middleinitial + substring(lastname,1,2))) AS 'email_name'
17+
SELECT (lower(firstname + middleinitial + substring(lastname, 1, 2))) AS 'email_name'
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FROM member
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WHERE lastname = 'Anderson';
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2121
USE Northwind
22-
SELECT (UnitPrice * Quantity * (1- Discount)) as 'wartosc'
22+
SELECT (UnitPrice * Quantity * (1 - Discount)) as 'wartosc'
2323
FROM [Order Details]
2424
WHERE OrderID = 10250;
2525

@@ -63,7 +63,8 @@ WHERE fine_assessed BETWEEN 8 AND 9
6363
USE library
6464
SELECT title_no, author
6565
FROM title
66-
WHERE author='Charles Dickens' or author='Jane Austen'
66+
WHERE author = 'Charles Dickens'
67+
or author = 'Jane Austen'
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--5. Napisz polecenie, które wybiera numer tytułu i tytuł dla wszystkich rekordów zawierających string „adventures” gdzieś w tytule
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@@ -77,7 +78,7 @@ WHERE title LIKE '%adventures%'
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USE library
7879
SELECT member_no, fine_assessed, fine_paid
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FROM loanhist
80-
WHERE fine_paid=0
81+
WHERE fine_paid = 0
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8283
--7. Napisz polecenie, które wybiera wszystkie unikalne pary miast i stanów z tablicy adult.
8384
USE library
@@ -102,8 +103,9 @@ ORDER BY title ASC;
102103
USE library
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SELECT member_no, isbn, sum(fine_assessed) as 'total fines', fine_assessed * 2 as 'double fine'
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FROM loanhist
105-
WHERE fine_assessed IS NOT NULL AND fine_assessed!=0
106-
GROUP BY member_no, isbn , fine_assessed
106+
WHERE fine_assessed IS NOT NULL
107+
AND fine_assessed != 0
108+
GROUP BY member_no, isbn, fine_assessed
107109

108110
--3. Napisz polecenie, które generuje pojedynczą kolumnę, która zawiera kolumny: imię
109111
--członka biblioteki, inicjał drugiego imienia i nazwisko dla
@@ -117,9 +119,9 @@ GROUP BY member_no, isbn , fine_assessed
117119
-- wykorzystaj operator (+) do połączenia stringów.
118120

119121
USE library
120-
SELECT LOWER(firstname + middleinitial + substring(lastname,1,2)) as 'email_name'
122+
SELECT LOWER(firstname + middleinitial + substring(lastname, 1, 2)) as 'email_name'
121123
FROM member
122-
WHERE lastname='Anderson'
124+
WHERE lastname = 'Anderson'
123125

124126
--4. Napisz polecenie, które wybiera title i title_no z tablicy
125127
-- title. Wynikiem powinna być pojedyncza kolumna o formacie jak w
@@ -148,34 +150,33 @@ USE Northwind
148150

149151
SELECT COUNT(ProductID) as 'Count'
150152
FROM Products
151-
WHERE UnitPrice<10 or UnitPrice<20;
152-
153+
WHERE UnitPrice < 10
154+
or UnitPrice < 20;
153155

154156

155157

156158
-- 2. Podaj maksymalną cenę produktu dla produktów o cenach
157159
-- poniżej 20$
158160

159-
SELECT TOP 1 ProductName,UnitPrice
161+
SELECT TOP 1 ProductName, UnitPrice
160162
FROM Products
161-
WHERE UnitPrice<20
163+
WHERE UnitPrice < 20
162164
ORDER BY UnitPrice DESC;
163165

164166

165167

166-
167168
-- 3. Podaj maksymalną, minimalną i średnią cenę produktu dla
168169
-- produktów sprzedawanych w butelkach (‘bottle’)
169170

170171

171172
SELECT (SELECT TOP 1 UnitPrice
172173
FROM Products
173174
WHERE QuantityPerUnit LIKE '%bottle%'
174-
ORDER BY UnitPrice DESC) as 'max price',
175+
ORDER BY UnitPrice DESC) as 'max price',
175176
(SELECT TOP 1 UnitPrice
176177
FROM Products
177-
WHERE QuantityPerUnit LIKE '%bottle%'
178-
ORDER BY UnitPrice ) as 'min price',
178+
WHERE QuantityPerUnit LIKE '%bottle%'
179+
ORDER BY UnitPrice) as 'min price',
179180
(SELECT AVG(UnitPrice)
180181
FROM Products
181182
WHERE QuantityPerUnit LIKE '%bottle%') as 'avg price';
@@ -194,7 +195,7 @@ WHERE UnitPrice > 28.8663;
194195
-- 5. Podaj wartość zamówienia o numerze 10250
195196
SELECT SUM((UnitPrice * Quantity * (1 - Discount)))
196197
FROM [Order Details]
197-
WHERE OrderID=10250;
198+
WHERE OrderID = 10250;
198199

199200
-- ćwiczenie kolejne
200201

@@ -228,8 +229,8 @@ GROUP BY ShipVia
228229
-- 4. Który ze spedytorów był najaktywniejszy w 1997 roku?
229230
SELECT Shippers.CompanyName, COUNT(OrderId) as no_orders
230231
FROM Orders
231-
INNER JOIN Shippers ON ShipperID = Orders.ShipVia
232-
WHERE YEAR(OrderDate)=1997
232+
INNER JOIN Shippers ON ShipperID = Orders.ShipVia
233+
WHERE YEAR(OrderDate) = 1997
233234
GROUP BY Shippers.CompanyName
234235
ORDER BY no_orders DESC
235236

@@ -238,21 +239,10 @@ ORDER BY no_orders DESC
238239
-- zamówienia jest większa niż 5
239240

240241

241-
242-
243-
244-
245242
SELECT orderid, COUNT(*) as 'total orders'
246243
FROM [Order Details]
247244
GROUP BY orderid
248-
HAVING COUNT(*)>5
249-
250-
251-
252-
253-
254-
255-
245+
HAVING COUNT(*) > 5
256246

257247

258248
-- 2. Wyświetl klientów, dla których w 1998 roku zrealizowano
@@ -261,129 +251,71 @@ HAVING COUNT(*)>5
261251
-- klientów)
262252

263253

264-
SELECT Orders.CustomerID, COUNT(Orders.OrderID) as 'total orders', SUM((UnitPrice * Quantity * (1 - Discount))) as 'total sum'
254+
SELECT Orders.CustomerID,
255+
COUNT(Orders.OrderID) as 'total orders',
256+
SUM((UnitPrice * Quantity * (1 - Discount))) as 'total sum'
265257
FROM Orders
266-
INNER JOIN [Order Details] ON Orders.OrderID = [Order Details].OrderID
267-
WHERE YEAR(ShippedDate)=1998
258+
INNER JOIN [Order Details] ON Orders.OrderID = [Order Details].OrderID
259+
WHERE YEAR(ShippedDate) = 1998
268260
GROUP BY CustomerID
269-
HAVING COUNT(Orders.OrderID)>8
261+
HAVING COUNT(Orders.OrderID) > 8
270262
ORDER BY 'total sum' DESC;
271263

272264
-- apparently freight = oplata za przewoz XDDD
273265
-- freight z ang. = załadunek XDDDDD
274266

275267
SELECT CustomerID, SUM((UnitPrice * Quantity * (1 - Discount))) as 'totalsum'
276-
FROM Orders, [Order Details]
277-
WHERE YEAR(ShippedDate)=1998
268+
FROM Orders,
269+
[Order Details]
270+
WHERE YEAR(ShippedDate) = 1998
278271
GROUP BY CustomerID
279-
HAVING COUNT(Orders.OrderID)>8
272+
HAVING COUNT(Orders.OrderID) > 8
280273
ORDER BY totalsum DESC;
281274

282275

283276

284-
285-
286-
287277
SELECT productid, orderid, sum(quantity)
288278
FROM orderhist
289-
GROUP BY productid, orderid WITH CUBE
279+
GROUP BY productid, orderid
280+
WITH CUBE
290281
ORDER BY productid, orderid
291282

292283

293-
SELECT '<null>', '<null>',sum(quantity)
284+
SELECT '<null>', '<null>', sum(quantity)
294285
FROM orderhist
295286

296287

297288
SELECT productid, sum(quantity)
298289
FROM orderhist
299-
WHERE ProductID=1 --2
290+
WHERE ProductID = 1 --2
300291
GROUP BY productid
301292

302293

303-
304294
--ZADANIE AGREGATY KONCOWE
305295

306296

307-
308-
309-
310-
311-
312-
313-
314-
315-
SELECT FirstName + ' ' + LastName, DATEDIFF(year, HireDate, GETDATE())
297+
SELECT FirstName + ' ' + LastName, DATEDIFF(year, HireDate, GETDATE())
316298
FROM Employees
317299

318300

319-
320-
321-
322301
SELECT MIN(LEN(FirstName))
323302
FROM Employees
324303

325304

326-
327-
328-
329-
330-
331-
332305
SELECT EmployeeID, COUNT(*), MIN(OrderDate)
333306
FROM Orders
334307
GROUP BY EmployeeID
335308
ORDER BY EmployeeID
336309

337310

338-
339-
340-
341-
342-
343-
344311
SELECT CustomerID, SUM(Freight)
345312
FROM Orders
346313
WHERE RequiredDate - ShippedDate < 0
347314
GROUP BY CustomerID
348315

349316

350-
351-
352-
353-
354317
USE Library
355-
SELECT TOP 1 YEAR(in_date),SUM(fine_assessed)
318+
SELECT TOP 1 YEAR(in_date), SUM(fine_assessed)
356319
FROM loanhist
357320
GROUP BY YEAR(in_date)
358-
ORDER BY SUM(fine_assessed) DESC;
359-
360-
361-
362-
363-
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365-
366-
367-
368-
369-
370-
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382-
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389-
321+
ORDER BY SUM(fine_assessed) DESC;

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