forked from PierreSenellart/provsql
-
Notifications
You must be signed in to change notification settings - Fork 0
/
tutorial.sql
360 lines (339 loc) · 7.39 KB
/
tutorial.sql
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
\set ECHO none
SET search_path TO public, provsql;
CREATE TABLE public.person (
id integer NOT NULL,
name text NOT NULL,
date_of_birth date,
height smallint
);
CREATE TABLE public.reliability (
person integer NOT NULL,
score double precision NOT NULL
);
CREATE TABLE public.room (
id integer NOT NULL,
name text NOT NULL,
area smallint
);
CREATE TABLE public.sightings (
"time" time without time zone NOT NULL,
person integer NOT NULL,
room integer NOT NULL,
witness integer
);
COPY public.person (id, name, date_of_birth, height) FROM stdin;
0 Titus 1969-04-03 163
1 Norah 1983-10-15 194
2 Ginny 1989-10-23 169
3 Demetra 1957-07-20 167
4 Sheri 1950-10-19 195
5 Karleen 2004-09-01 199
6 Daisey 2002-08-19 163
7 Audrey 2009-12-20 167
8 Alaine 1956-09-07 192
9 Edwin 1987-02-21 210
10 Shelli 1985-03-05 195
11 Santina 1991-09-04 164
12 Bart 1989-08-12 163
13 Harriette 1959-06-24 160
14 Jody 1962-12-18 202
15 Theodora 1995-11-08 204
16 Roman 1964-12-14 171
17 Jack 1976-06-11 167
18 Daphine 1998-09-21 191
19 Kyra 1966-05-04 202
\.
COPY public.reliability (person, score) FROM stdin;
0 0.23828493492944236
1 0.657319818187148019
2 0.745325911826738019
3 0.656730287512349964
4 0.942979116189337052
5 0.600921893448834954
6 0.874435606539356036
7 0.990416985535926053
8 0.59251775051353095
9 0.688247502287665958
10 0.939401152561129993
11 0.960847979674174013
12 0.818769283596453956
13 0.834442059579594053
14 0.788371825897704048
15 0.620618845450902956
16 0.977769943596806024
17 0.840542782838639035
19 0.681836780693319988
\.
COPY public.room (id, name, area) FROM stdin;
0 Dining room 23
1 Blue bedroom 20
2 Red bedroom 31
3 Yellow bedroom 27
4 Green bedroom 37
5 Living room 14
6 Kitchen 18
7 First bathroom 26
8 Second bathroom 34
9 Library 27
\.
COPY public.sightings ("time", person, room, witness) FROM stdin;
02:30:00 19 8 0
05:00:00 11 9 0
03:00:00 19 2 0
13:00:00 8 8 0
22:30:00 5 1 0
05:30:00 19 5 0
16:00:00 11 8 0
18:30:00 11 9 0
13:30:00 11 4 0
13:30:00 6 7 0
05:30:00 13 3 0
10:00:00 5 0 0
04:00:00 14 6 0
01:30:00 12 1 0
15:00:00 1 5 0
21:00:00 16 6 0
06:30:00 17 6 1
01:30:00 10 5 1
09:30:00 9 7 1
07:00:00 17 1 1
10:30:00 3 3 1
01:00:00 18 2 1
09:00:00 17 2 1
05:30:00 18 6 1
04:30:00 16 2 2
15:30:00 14 8 2
19:00:00 1 8 2
22:00:00 5 9 2
22:30:00 0 0 2
18:00:00 10 3 2
06:00:00 11 5 2
05:00:00 17 8 2
17:00:00 14 3 2
17:30:00 12 9 2
22:30:00 10 3 2
21:00:00 5 7 2
09:00:00 9 4 2
08:30:00 18 2 2
10:00:00 13 3 2
23:00:00 7 9 2
13:30:00 5 6 3
19:00:00 16 3 3
03:00:00 16 4 3
12:30:00 16 0 3
20:30:00 8 0 3
14:00:00 15 1 3
22:00:00 8 3 3
10:00:00 15 7 3
11:00:00 15 3 3
00:00:00 15 4 3
22:00:00 14 9 3
02:30:00 15 7 4
08:00:00 11 6 4
15:00:00 13 3 4
20:00:00 8 7 4
21:00:00 7 3 4
19:00:00 15 7 4
22:30:00 9 6 5
06:00:00 0 1 5
02:30:00 0 5 5
17:30:00 1 1 5
18:00:00 7 4 5
04:30:00 18 3 5
14:30:00 17 9 5
21:30:00 15 4 5
10:00:00 1 9 5
03:00:00 3 0 5
05:30:00 3 8 5
19:30:00 17 4 6
16:30:00 0 5 7
11:00:00 1 9 7
13:30:00 18 8 7
13:00:00 12 9 7
19:30:00 3 9 7
20:30:00 3 0 7
15:00:00 6 3 7
19:30:00 6 7 7
19:30:00 10 5 7
13:00:00 5 3 8
15:00:00 14 2 8
01:00:00 1 6 8
08:00:00 7 4 8
09:30:00 12 1 8
20:30:00 12 9 8
10:30:00 11 9 8
06:30:00 7 0 8
11:30:00 13 1 8
15:30:00 5 0 9
04:00:00 6 1 9
22:30:00 2 5 9
01:00:00 8 6 9
13:30:00 15 1 9
07:00:00 19 9 9
21:00:00 7 2 9
18:00:00 0 3 9
08:30:00 14 0 9
03:30:00 11 9 9
05:30:00 3 6 9
20:00:00 15 3 9
06:00:00 7 6 9
16:00:00 14 1 9
19:00:00 7 1 10
12:00:00 17 8 10
09:00:00 8 7 10
21:00:00 8 1 10
01:00:00 8 0 10
09:30:00 17 5 10
08:00:00 3 4 10
21:00:00 18 1 10
22:00:00 3 4 10
11:00:00 15 2 10
01:30:00 18 1 10
08:00:00 14 0 10
06:00:00 7 2 10
04:00:00 18 2 10
21:00:00 12 4 10
01:00:00 4 0 10
18:30:00 13 4 10
22:00:00 5 1 10
23:30:00 11 6 10
04:30:00 5 3 11
04:30:00 12 2 11
13:30:00 7 1 11
08:30:00 7 9 11
00:00:00 6 7 11
11:30:00 6 1 11
20:00:00 6 2 11
07:00:00 9 6 11
10:00:00 16 2 11
04:00:00 8 0 11
07:30:00 15 1 11
20:30:00 10 9 11
19:30:00 3 0 11
04:30:00 4 7 11
12:00:00 1 0 11
23:30:00 17 9 11
18:00:00 4 4 11
21:00:00 0 6 11
14:30:00 17 8 12
07:30:00 10 8 12
05:30:00 13 7 12
19:30:00 18 5 12
21:30:00 8 4 12
21:30:00 11 5 12
13:30:00 3 9 12
08:00:00 2 2 12
08:00:00 5 1 12
01:00:00 13 7 12
15:00:00 19 3 12
21:30:00 3 3 12
11:00:00 12 2 13
04:30:00 3 0 13
02:30:00 3 9 13
05:30:00 5 5 13
01:00:00 1 5 13
09:00:00 15 2 13
22:00:00 18 7 13
18:30:00 7 7 13
08:30:00 18 7 13
09:30:00 6 1 13
21:00:00 6 5 13
16:30:00 19 5 13
15:30:00 1 6 14
07:30:00 7 9 14
04:30:00 13 2 14
10:00:00 17 9 14
07:30:00 12 5 14
15:30:00 8 6 14
10:00:00 18 9 14
18:00:00 0 6 14
17:30:00 2 7 14
18:30:00 5 5 14
04:00:00 4 8 14
12:30:00 7 4 14
00:30:00 19 5 14
14:30:00 9 1 14
09:00:00 3 9 14
14:00:00 7 2 14
00:30:00 12 6 14
16:00:00 8 4 15
23:00:00 12 1 15
13:30:00 18 2 15
11:30:00 2 4 15
00:00:00 10 9 15
00:30:00 3 7 15
03:30:00 3 1 15
00:30:00 0 2 15
16:30:00 10 2 15
08:00:00 8 6 15
06:00:00 2 2 15
03:00:00 13 1 15
06:00:00 8 5 15
15:00:00 18 3 15
01:30:00 3 0 15
02:30:00 5 8 15
22:30:00 19 7 15
22:00:00 15 4 16
10:30:00 0 5 17
17:00:00 1 5 17
12:30:00 5 3 17
00:00:00 19 7 17
12:00:00 1 7 17
16:00:00 5 7 17
14:00:00 3 8 17
14:30:00 14 0 17
04:00:00 6 3 19
11:00:00 4 5 19
15:30:00 5 5 19
\.
ALTER TABLE ONLY public.person
ADD CONSTRAINT person_pkey PRIMARY KEY (id);
ALTER TABLE ONLY public.reliability
ADD CONSTRAINT reliability_pkey PRIMARY KEY (person);
ALTER TABLE ONLY public.room
ADD CONSTRAINT room_pkey PRIMARY KEY (id);
ALTER TABLE ONLY public.reliability
ADD CONSTRAINT reliability_person_fkey FOREIGN KEY (person) REFERENCES public.person(id);
ALTER TABLE ONLY public.sightings
ADD CONSTRAINT sightings_person_fkey FOREIGN KEY (person) REFERENCES public.person(id);
ALTER TABLE ONLY public.sightings
ADD CONSTRAINT sightings_room_fkey FOREIGN KEY (room) REFERENCES public.room(id);
ALTER TABLE ONLY public.sightings
ADD CONSTRAINT sightings_witness_fkey FOREIGN KEY (witness) REFERENCES public.person(id);
CREATE TABLE s AS
SELECT time, person.name AS person, p2.name AS witness, room.name AS room
FROM sightings JOIN person ON person=id JOIN person AS p2 ON witness=p2.id JOIN room ON room=room.id;
SELECT add_provenance('s');
SELECT create_provenance_mapping('witness_mapping','s','witness');
CREATE TABLE consistent_s AS
SELECT time,person,room
FROM s
EXCEPT
SELECT s1.time,s1.person,s1.room
FROM s AS s1, s AS s2
WHERE s1.person=s2.person AND s1.time=s2.time AND s1.room<>s2.room;
CREATE TABLE suspects AS
SELECT DISTINCT person FROM consistent_s
WHERE room LIKE '% bedroom' AND time BETWEEN '00:00:00' AND '08:00:00';
ALTER table s ADD COLUMN count int;
UPDATE s SET count=1;
SELECT create_provenance_mapping('count_mapping','s','count');
CREATE TABLE results AS SELECT *,counting(provenance(),'count_mapping') AS c FROM suspects ORDER BY c, person;
SELECT remove_provenance('results');
SELECT * FROM results;
DROP TABLE results;
ALTER table s ADD COLUMN reliability float;
UPDATE s
SET reliability=(SELECT score
FROM reliability JOIN person ON reliability.person=person.id
WHERE person.name=s.witness);
SELECT create_provenance_mapping('reliability_mapping','s','reliability');
CREATE TABLE results AS
SELECT *,
ROUND(probability_evaluate(provenance(),'reliability_mapping','possible-worlds')::NUMERIC,5)
FROM suspects
WHERE probability_evaluate(provenance(),'reliability_mapping','possible-worlds')>0.99 AND
person<>'Daphine';
SELECT remove_provenance('results');
SELECT * FROM results;
DROP TABLE results;