-
Notifications
You must be signed in to change notification settings - Fork 12
/
SQL exercise.Rmd
484 lines (395 loc) · 15.5 KB
/
SQL exercise.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
---
title: "Stanford SQL exercise"
author: "Rui Wang"
date: "3/14/2017"
output:
pdf_document: default
html_document: default
---
Not the best code, but as a good reference for people are stuck with these problems.
Thanks for Standford online course.
### Movie-Rating Query Exercise
Movie ( mID, title, year, director )
English: There is a movie with ID number mID, a title, a release year, and a director.
Reviewer ( rID, name )
English: The reviewer with ID number rID has a certain name.
Rating ( rID, mID, stars, ratingDate )
English: The reviewer rID gave the movie mID a number of stars rating (1-5) on a certain ratingDate.
Find the titles of all movies directed by Steven Spielberg.
```sql
select title from Movie
where director = 'Steven Spielberg';
```
Find all years that have a movie that received a rating of 4 or 5, and sort them in increasing order.
```sql
select distinct year from Movie
join Rating on Movie.mID = Rating.mID
where stars = 4 or stars = 5
order by year;
```
Find the titles of all movies that have no ratings.
```sql
select title from Movie
left outer join Rating on Movie.mID = Rating.mID
where stars is null;
```
Some reviewers didn't provide a date with their rating. Find the names of all reviewers who have ratings with a NULL value for the date.
```sql
select name from Rating
left outer join Reviewer
on Reviewer.rID = Rating.rID
where ratingDate is null;
```
Write a query to return the ratings data in a more readable format: reviewer name, movie title, stars, and ratingDate. Also, sort the data, first by reviewer name, then by movie title, and lastly by number of stars.
```sql
select name, title, stars, ratingDate
from Rating join Movie using (mID)
join Reviewer using (rID)
order by name, title, stars;
```
For all cases where the same reviewer rated the same movie twice and gave it a higher rating the second time, return the reviewer's name and the title of the movie.
```sql
select name, title from Rating r1
join Rating r2 on(r1.rID=r2.rID and r1.mID=r2.mID)
join Movie on(Movie.mID = r1.mID)
join Reviewer on(Reviewer.rID = r1.rID)
where r1.stars < r2.stars
and r1.ratingDate < r2.ratingDate
and r1.rID in ( select rID from Rating
group by rID, mID
having count(*) = 2);
```
For each movie that has at least one rating, find the highest number of stars that movie received. Return the movie title and number of stars. Sort by movie title.
```sql
select title, max(stars)
from Rating
join Movie on(Rating.mID = Movie.mID)
join Reviewer on(Rating.rID = Reviewer.rID)
where Rating.mID in
(select mID from Rating group by mID
having count(stars) >= 1)
group by title
order by title
```
For each movie, return the title and the 'rating spread', that is, the difference between highest and lowest ratings given to that movie. Sort by rating spread from highest to lowest, then by movie title.
```sql
select title, max(stars) - min(stars) as rating_spread
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by title
order by rating_spread desc;
```
Find the difference between the average rating of movies released before 1980 and the average rating of movies released after 1980. (Make sure to calculate the average rating for each movie, then the average of those averages for movies before 1980 and movies after. Don't just calculate the overall average rating before and after 1980.)
```sql
select
(select avg(avg_rating)
from (select year, avg(stars) as avg_rating
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by year)
where year < 1980)
-
(select avg(avg_rating)
from (select year, avg(stars) as avg_rating
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by year)
where year > 1980);
```
Find the names of all reviewers who rated Gone with the Wind.
```sql
select distinct name
from Rating
join Movie using(mID)
join Reviewer using(rID)
where title = 'Gone with the Wind';
```
For any rating where the reviewer is the same as the director of the movie, return the reviewer name, movie title, and number of stars.
```sql
select distinct name, title, stars
from Rating
join Movie using(mID)
join Reviewer using(rID)
where name = director;
```
Return all reviewer names and movie names together in a single list, alphabetized. (Sorting by the first name of the reviewer and first word in the title is fine; no need for special processing on last names or removing "The".)
```sql
select name from
(select distinct name
from Reviewer
union
select distinct title
from Movie)
order by name;
```
Find the titles of all movies not reviewed by Chris Jackson.
```sql
select title from Movie
where mID not in
(select mID from Rating where rID in
(select rID from Reviewer
where name = 'Chris Jackson'))
```
For all pairs of reviewers such that both reviewers gave a rating to the same movie, return the names of both reviewers. Eliminate duplicates, don't pair reviewers with themselves, and include each pair only once. For each pair, return the names in the pair in alphabetical order.
```sql
select distinct Re1.name, Re2.name
from Rating R1, Rating R2, Reviewer Re1, Reviewer Re2
where R1.mID = R2.mID
and R1.rID = Re1.rID
and R2.rID = Re2.rID
and Re1.name < Re2.name
order by Re1.name, Re2.name;
```
For each rating that is the lowest (fewest stars) currently in the database, return the reviewer name, movie title, and number of stars.
```sql
select name, title, stars
from Rating
join Movie using(mID)
join Reviewer using(rID)
where stars <= (select min(stars) from Rating);
```
List movie titles and average ratings, from highest-rated to lowest-rated. If two or more movies have the same average rating, list them in alphabetical order.
```sql
select title, avg(stars) as avg
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by title
order by avg desc, title;
```
Find the names of all reviewers who have contributed three or more ratings. (As an extra challenge, try writing the query without HAVING or without COUNT.)
```sql
select name
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by name
having count(mID) >= 3;
```
Some directors directed more than one movie. For all such directors, return the titles of all movies directed by them, along with the director name. Sort by director name, then movie title. (As an extra challenge, try writing the query both with and without COUNT.)
```sql
select title, director from Movie
where director in
( select director
from movie
group by director
having count(*) > 1)
order by director, title;
```
Find the movie(s) with the highest average rating. Return the movie title(s) and average rating. (Hint: This query is more difficult to write in SQLite than other systems; you might think of it as finding the highest average rating and then choosing the movie(s) with that average rating.)
```sql
select title, avg from
(select title,
avg(stars) as avg
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by title)
where avg >=
(select max(avg) from
(select title,
avg(stars) as avg
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by title));
```
Find the movie(s) with the lowest average rating. Return the movie title(s) and average rating. (Hint: This query may be more difficult to write in SQLite than other systems; you might think of it as finding the lowest average rating and then choosing the movie(s) with that average rating.)
```sql
select title, avg
from
(select title, avg(stars) as avg
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by title)
where avg <=
(select min(avg) from
(select title,
avg(stars) as avg
from Rating
join Movie using(mID)
join Reviewer using(rID)
group by title));
```
For each director, return the director's name together with the title(s) of the movie(s) they directed that received the highest rating among all of their movies, and the value of that rating. Ignore movies whose director is NULL.
```sql
select director, title, max(stars) from Rating
join Movie using(mID)
join Reviewer using(rID)
where director is not null
group by director;
```
Add the reviewer Roger Ebert to your database, with an rID of 209.
```sql
insert into Reviewer (rID, name)
values ('209', 'Roger Ebert');
```
Insert 5-star ratings by James Cameron for all movies in the database. Leave the review date as NULL.
```sql
insert into Rating (rID, mID, stars, ratingDate )
select Reviewer.rID , Movie.mID, 5, null from Movie
left outer join Reviewer
where Reviewer.name='James Cameron';
```
For all movies that have an average rating of 4 stars or higher, add 25 to the release year. (Update the existing tuples; don't insert new tuples.)
```sql
update Movie
set year = year + 25
where mID in
(select mID from
(select mID, avg(stars) as avg
from Movie join Rating using(mID)
group by mID)
where avg >= 4);
```
Remove all ratings where the movie's year is before 1970 or after 2000, and the rating is fewer than 4 stars.
```sql
delete from rating
where mID in (select mID from movie where year < 1970 or year > 2000)
and stars < 4;
```
### Social-Network Query Exercise
Highschooler ( ID, name, grade )
English: There is a high school student with unique ID and a given first name in a certain grade.
Friend ( ID1, ID2 )
English: The student with ID1 is friends with the student with ID2. Friendship is mutual, so if (123, 456) is in the Friend table, so is (456, 123).
Likes ( ID1, ID2 )
English: The student with ID1 likes the student with ID2. Liking someone is not necessarily mutual, so if (123, 456) is in the Likes table, there is no guarantee that (456, 123) is also present.
Find the names of all students who are friends with someone named Gabriel.
```sql
select name
from Highschooler
where ID in (select ID1 from Friend where ID2 in
(select ID from Highschooler where name = 'Gabriel'));
```
For every student who likes someone 2 or more grades younger than themselves, return that student's name and grade, and the name and grade of the student they like.
```sql
select h1.name, h1.grade, h2.name, h2.grade
from Highschooler h1, Highschooler h2, Likes l
where h1.ID = l.ID1
and h2.ID = l.ID2
and h1.grade >= h2.grade + 2
```
For every pair of students who both like each other, return the name and grade of both students. Include each pair only once, with the two names in alphabetical order.
```sql
select h1.name, h1.grade, h2.name, h2.grade
from Highschooler h1, Highschooler h2, Likes l1, Likes l2
where h1.ID = l1.ID1
and h2.ID = l1.ID2
and l1.ID1 = l2.ID2
and l1.ID2 = l2.ID1
and h1.name < h2.name;
```
Find all students who do not appear in the Likes table (as a student who likes or is liked) and return their names and grades. Sort by grade, then by name within each grade.
```sql
select name, grade
from Highschooler
where ID not in (select distinct ID1 from Likes)
and ID not in (select distinct ID2 from Likes)
order by grade, name;
```
For every situation where student A likes student B, but we have no information about whom B likes (that is, B does not appear as an ID1 in the Likes table), return A and B's names and grades.
```sql
select distinct h1.name, h1.grade, h2.name, h2.grade
from Highschooler h1, Highschooler h2, Likes l1, Likes l2
where h1.ID = l1.ID1
and h2.ID = l1.ID2
and h2.ID not in (select distinct ID1 from Likes);
```
Find names and grades of students who only have friends in the same grade. Return the result sorted by grade, then by name within each grade.
```sql
select h1.name, h1.grade
from Highschooler h1, Highschooler h2, Friend f
where h1.ID = f.ID1 and h2.ID = f.ID2
group by h1.name, h1.grade
having count(distinct h2.grade) = 1
order by h1.grade, h1.name;
```
For each student A who likes a student B where the two are not friends, find if they have a friend C in common (who can introduce them!). For all such trios, return the name and grade of A, B, and C.
```sql
select distinct h1.name, h1.grade, h2.name, h2.grade, h3.name, h3.grade
from Highschooler h1, Highschooler h2, Highschooler h3, Friend f, Likes l
where h1.ID = l.ID1 and h2.ID = l.ID2
and h2.ID not in (select distinct ID2 from Friend where ID1 = h1.ID)
and h3.ID in (select distinct ID2 from Friend where ID1 = h1.ID
INTERSECT
select distinct ID2 from Friend where ID1 = h2.ID);
```
Find the difference between the number of students in the school and the number of different first names.
```sql
select (select count(distinct ID) from Highschooler)
- (select count(distinct name) from Highschooler);
```
Find the name and grade of all students who are liked by more than one other student.
```sql
select h1.name, h1.grade
from Highschooler h1
where h1.ID in (select distinct ID2 from Likes group by ID2 having count(ID1) > 1);
```
For every situation where student A likes student B, but student B likes a different student C, return the names and grades of A, B, and C.
```sql
select distinct h1.name, h1.grade, h2.name, h2.grade, h3.name, h3.grade
from Highschooler h1, Highschooler h2, Highschooler h3, Likes l
where h1.ID = l.ID1
and h2.ID = l.ID2
and h1.ID not in (select ID2 from Likes where ID1 = h2.ID)
and h3.ID in (select ID2 from Likes where ID1 = h2.ID);
```
Find those students for whom all of their friends are in different grades from themselves. Return the students' names and grades.
```sql
select h1.name, h1.grade
from Highschooler h1
where h1.grade not in (select h2.grade from Highschooler h2,
Friend f where f.ID1 = h1.ID and f.ID2 = h2.ID);
```
What is the average number of friends per student? (Your result should be just one number.)
```sql
select avg(fr) from
(select count(distinct ID2) as fr from Highschooler, Friend where ID = ID1 group by ID);
```
Find the number of students who are either friends with Cassandra or are friends of friends of Cassandra. Do not count Cassandra, even though technically she is a friend of a friend.
```sql
select count(*) -1 from (
select distinct f2.ID2 from Friend f2
where f2.ID1 in
(select distinct f1.ID2 as s1 from Friend f1
where f1.ID1 = (select ID from Highschooler where name = 'Cassandra'))
union
select distinct f1.ID2 as s1 from Friend f1
where f1.ID1 = (select ID from Highschooler where name = 'Cassandra') );
```
Find the name and grade of the student(s) with the greatest number of friends.
```sql
select h.name, h.grade
from Highschooler h
where ID in
(select ID from
(select ID, count(distinct ID2) as fr from Highschooler, Friend
where ID = ID1 group by ID)
where fr >= (select max(fr)
from
(select ID, count(distinct ID2) as fr from Highschooler, Friend
where ID = ID1 group by ID)));
```
It's time for the seniors to graduate. Remove all 12th graders from Highschooler.
```sql
delete from Highschooler
where grade = 12;
```
If two students A and B are friends, and A likes B but not vice-versa, remove the Likes tuple.
```sql
delete from Likes
where ID1 in (select f.ID1 from Friend f where f.ID2 = Likes.ID2)
and ID1 not in (select l.ID2 from Likes l where l.ID1 = Likes.ID2);
```
For all cases where A is friends with B, and B is friends with C, add a new friendship for the pair A and C. Do not add duplicate friendships, friendships that already exist, or friendships with oneself. (This one is a bit challenging; congratulations if you get it right.)
```sql
insert into Friend
select f1.ID1, f2.ID1 from Friend f1, Friend f2
where f1.ID2 = f2.ID2 and f1.ID1 <> f2.ID1
except select * from Friend;
```