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Obisidian vault auto-backup: 05-09-2025 09:23:20 on macbook-air-de-felix. 62 files edited

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This commit is contained in:
Félix MARQUET
2025-09-05 09:23:21 +02:00
parent 9f6249d064
commit 6e683aa10e
60 changed files with 249381 additions and 249392 deletions
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27
.obsidian/workspace.json vendored
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@@ -11,24 +11,12 @@
"id": "14045e30aacf0836",
"type": "leaf",
"state": {
"type": "markdown",
"type": "pdf",
"state": {
"file": "ISEN/Réunion/CIPA 4/Rentrée 2025-2026.md",
"mode": "source",
"source": false,
"backlinks": true,
"backlinkOpts": {
"collapseAll": false,
"extraContext": false,
"sortOrder": "alphabetical",
"showSearch": false,
"searchQuery": "",
"backlinkCollapsed": false,
"unlinkedCollapsed": true
}
"file": "ISEN/BDD/CIR2/PostgreSQLInstallCIR2.pdf"
},
"icon": "lucide-file",
"title": "Rentrée 2025-2026"
"icon": "lucide-file-text",
"title": "PostgreSQLInstallCIR2"
}
},
{
@@ -216,10 +204,11 @@
"obsidian-git:Open Git source control": false
}
},
"active": "14045e30aacf0836",
"active": "622da1d4e0ba0f73",
"lastOpenFiles": [
"ISEN/Réunion/CIPA 4/Réunion FHS Rentrée 2025.md",
"ISEN/BDD/CIR2",
"ISEN/Réunion/CIPA 4/Rentrée 2025-2026.md",
"ISEN/Réunion/CIPA 4/Réunion FHS Rentrée 2025.md",
"ISEN/IA/CIPA4/Cours/CM1_KOA-IA-Generalites-CIPA4.pdf",
"ISEN/IA/CIPA4/TP/TP1/tp1_IA.ipynb",
"ISEN/IA/CIPA4/TP/TP1/tp1_IA.pdf",
@@ -268,7 +257,7 @@
"Untitled.canvas",
"ISEN/Other/Graph Overseer.canvas",
"ISEN/Algo C/A2/TP1 Exercice 1.canvas",
"ISEN/BDD/TD2.canvas",
"ISEN/BDD/CIR2/TD2.canvas",
"ISEN/Algo C/A2/MergeSort.canvas",
"ISEN/FHS/A1/Stage/Organigramme Go-Recup.canvas",
"ISEN/FHS/A1/Démocratie/Mouvement Social.canvas"

0
ISEN/BDD/DS/DS_BDD_MARQUET.zip → ISEN/BDD/CIR2/DS/DS_BDD_MARQUET.zip
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0
ISEN/BDD/DS/Devoir_BDD_2.pdf → ISEN/BDD/CIR2/DS/Devoir_BDD_2.pdf
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0
ISEN/BDD/DS/question_1.sql → ISEN/BDD/CIR2/DS/question_1.sql
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18
ISEN/BDD/DS/question_10.sql → ISEN/BDD/CIR2/DS/question_10.sql
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@@ -1,10 +1,10 @@
SELECT users.username, COUNT(DISTINCT videos.video_id)
AS nb_videos, COUNT(DISTINCT comments.comment_id)
AS nb_comments, COUNT(DISTINCT post.post_id)
AS nb_posts, COUNT(DISTINCT photos.photo_id)
AS nb_photos FROM users , videos, comments, post, photos
WHERE users.user_id = post.user_id
AND comments.user_id = users.user_id
AND videos.video_id = post.video_id
AND photos.photo_id = post.photo_id
SELECT users.username, COUNT(DISTINCT videos.video_id)
AS nb_videos, COUNT(DISTINCT comments.comment_id)
AS nb_comments, COUNT(DISTINCT post.post_id)
AS nb_posts, COUNT(DISTINCT photos.photo_id)
AS nb_photos FROM users , videos, comments, post, photos
WHERE users.user_id = post.user_id
AND comments.user_id = users.user_id
AND videos.video_id = post.video_id
AND photos.photo_id = post.photo_id
GROUP BY users.username;

2
ISEN/BDD/DS/question_2.sql → ISEN/BDD/CIR2/DS/question_2.sql
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@@ -1,2 +1,2 @@
SELECT post_id, COUNT(*) AS nb_commentaires FROM comments
SELECT post_id, COUNT(*) AS nb_commentaires FROM comments
GROUP BY post_id ORDER BY nb_commentaires DESC LIMIT 5;

4
ISEN/BDD/DS/question_3.sql → ISEN/BDD/CIR2/DS/question_3.sql
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@@ -1,3 +1,3 @@
SELECT u.username, u.bio, u.email FROM users u, post p, post_likes pl
WHERE u.user_id = pl.user_id AND p.post_id = pl.post_id
SELECT u.username, u.bio, u.email FROM users u, post p, post_likes pl
WHERE u.user_id = pl.user_id AND p.post_id = pl.post_id
AND CAST(p.created_at AS TEXT) LIKE '2024-01-11%';

2
ISEN/BDD/DS/question_4.sql → ISEN/BDD/CIR2/DS/question_4.sql
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@@ -1,2 +1,2 @@
SELECT comment_text AS "commentaires" FROM comments
SELECT comment_text AS "commentaires" FROM comments
WHERE user_id = 37;

2
ISEN/BDD/DS/question_5.sh → ISEN/BDD/CIR2/DS/question_5.sh
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@@ -1,2 +1,2 @@
#!/bin/bash
#!/bin/bash
psql -U tester -d postgres -f ./question_5_1.sql

0
ISEN/BDD/DS/question_5.sql → ISEN/BDD/CIR2/DS/question_5.sql
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0
ISEN/BDD/DS/question_5_1.sql → ISEN/BDD/CIR2/DS/question_5_1.sql
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12
ISEN/BDD/DS/question_6.sql → ISEN/BDD/CIR2/DS/question_6.sql
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@@ -1,7 +1,7 @@
SELECT AVG(nmb_comment) FROM (SELECT COUNT(comment_id) AS nmb_comment FROM comments GROUP BY user_id) AS nmb_comment;
SELECT u.username, COUNT(nb_comment) AS nb_comments FROM users u, comments c
WHERE u.user_id = c.user_id AND nb_comment >
(SELECT AVG(nb_comment) FROM (SELECT COUNT(comment_id)
AS nb_comment FROM c GROUP BY user_id) AS nb_comment)
SELECT AVG(nmb_comment) FROM (SELECT COUNT(comment_id) AS nmb_comment FROM comments GROUP BY user_id) AS nmb_comment;
SELECT u.username, COUNT(nb_comment) AS nb_comments FROM users u, comments c
WHERE u.user_id = c.user_id AND nb_comment >
(SELECT AVG(nb_comment) FROM (SELECT COUNT(comment_id)
AS nb_comment FROM c GROUP BY user_id) AS nb_comment)
GROUP BY u.username;

12
ISEN/BDD/DS/question_7.sql → ISEN/BDD/CIR2/DS/question_7.sql
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@@ -1,7 +1,7 @@
SELECT u1.username AS follower, u2.username AS followee FROM users u1, users u2, follows
WHERE u1.user_id
IN (SELECT follower_id FROM follows)
AND u2.user_id IN (SELECT followee_id FROM follows)
AND u1.user_id = follows.follower_id
AND u2.user_id = follows.followee_id
SELECT u1.username AS follower, u2.username AS followee FROM users u1, users u2, follows
WHERE u1.user_id
IN (SELECT follower_id FROM follows)
AND u2.user_id IN (SELECT followee_id FROM follows)
AND u1.user_id = follows.follower_id
AND u2.user_id = follows.followee_id
ORDER BY followee ASC;

6
ISEN/BDD/DS/question_8.sql → ISEN/BDD/CIR2/DS/question_8.sql
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@@ -1,3 +1,3 @@
SELECT AVG(nb_connexions) FROM (SELECT COUNT(*) AS nb_connexions FROM login GROUP BY user_id) AS lnc;
SELECT MAX(nb_connexions) FROM (SELECT COUNT(*) AS nb_connexions FROM login GROUP BY user_id) AS lnc;
SELECT Min(nb_connexions) FROM (SELECT COUNT(*) AS nb_connexions FROM login GROUP BY user_id) AS lnc;
SELECT AVG(nb_connexions) FROM (SELECT COUNT(*) AS nb_connexions FROM login GROUP BY user_id) AS lnc;
SELECT MAX(nb_connexions) FROM (SELECT COUNT(*) AS nb_connexions FROM login GROUP BY user_id) AS lnc;
SELECT Min(nb_connexions) FROM (SELECT COUNT(*) AS nb_connexions FROM login GROUP BY user_id) AS lnc;

2
ISEN/BDD/DS/question_9.sql → ISEN/BDD/CIR2/DS/question_9.sql
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@@ -1,2 +1,2 @@
DELETE FROM users WHERE user_id IN (SELECT user_id FROM comments WHERE comment_id IS NULL);
DELETE FROM users WHERE user_id IN (SELECT user_id FROM comments WHERE comment_id IS NULL);
SELECT * FROM users WHERE user_id IN (SELECT user_id FROM comments WHERE comment_id IS NULL);

10446
ISEN/BDD/DS/social_data.sql → ISEN/BDD/CIR2/DS/social_data.sql
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File diff suppressed because it is too large Load Diff

274
ISEN/BDD/DS/social_structure.sql → ISEN/BDD/CIR2/DS/social_structure.sql
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@@ -1,137 +1,137 @@
DROP database social_media;
CREATE DATABASE social_media;
--USE social_media;
DROP TABLE login;
DROP TABLE bookmarks;
DROP TABLE post_tags;
DROP TABLE hashtag_follow;
DROP TABLE hashtags;
DROP TABLE follows;
DROP TABLE comment_likes;
DROP TABLE post_likes;
DROP TABLE comments;
DROP TABLE post;
DROP TABLE videos;
DROP TABLE photos;
DROP TABLE users;
CREATE TABLE users (
user_id SERIAL PRIMARY KEY,
username VARCHAR(255) UNIQUE NOT NULL,
profile_photo_url VARCHAR(255) DEFAULT 'https://picsum.photos/100',
bio VARCHAR(255),
created_at TIMESTAMP DEFAULT NOW()
);
ALTER TABLE users
ADD email VARCHAR(30) NOT NULL;
CREATE TABLE photos (
photo_id SERIAL PRIMARY KEY,
photo_url VARCHAR(255) NOT NULL UNIQUE,
post_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
size FLOAT CHECK (size<5)
);
CREATE TABLE videos (
video_id SERIAL PRIMARY KEY,
video_url VARCHAR(255) NOT NULL UNIQUE,
post_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
size FLOAT CHECK (size<10)
);
CREATE TABLE post (
post_id SERIAL PRIMARY KEY,
photo_id INTEGER,
video_id INTEGER,
user_id INTEGER NOT NULL,
caption VARCHAR(200),
location VARCHAR(50) ,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(photo_id) REFERENCES photos(photo_id),
FOREIGN KEY(video_id) REFERENCES videos(video_id)
);
CREATE TABLE comments (
comment_id SERIAL PRIMARY KEY,
comment_text VARCHAR(255) NOT NULL,
post_id INTEGER NOT NULL,
user_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(post_id) REFERENCES post(post_id),
FOREIGN KEY(user_id) REFERENCES users(user_id)
);
CREATE TABLE post_likes (
user_id INTEGER NOT NULL,
post_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(post_id) REFERENCES post(post_id),
PRIMARY KEY(user_id, post_id)
);
CREATE TABLE comment_likes (
user_id INTEGER NOT NULL,
comment_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(comment_id) REFERENCES comments(comment_id),
PRIMARY KEY(user_id, comment_id)
);
CREATE TABLE follows (
follower_id INTEGER NOT NULL,
followee_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(follower_id) REFERENCES users(user_id),
FOREIGN KEY(followee_id) REFERENCES users(user_id),
PRIMARY KEY(follower_id, followee_id)
);
CREATE TABLE hashtags (
hashtag_id SERIAL PRIMARY KEY,
hashtag_name VARCHAR(255) UNIQUE,
created_at TIMESTAMP DEFAULT NOW()
);
CREATE TABLE hashtag_follow (
user_id INTEGER NOT NULL,
hashtag_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(hashtag_id) REFERENCES hashtags(hashtag_id),
PRIMARY KEY(user_id, hashtag_id)
);
CREATE TABLE post_tags (
post_id INTEGER NOT NULL,
hashtag_id INTEGER NOT NULL,
FOREIGN KEY(post_id) REFERENCES post(post_id),
FOREIGN KEY(hashtag_id) REFERENCES hashtags(hashtag_id),
PRIMARY KEY(post_id, hashtag_id)
);
CREATE TABLE bookmarks (
post_id INTEGER NOT NULL,
user_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(post_id) REFERENCES post(post_id),
FOREIGN KEY(user_id) REFERENCES users(user_id),
PRIMARY KEY(user_id, post_id)
);
CREATE TABLE login (
login_id SERIAL NOT NULL PRIMARY KEY,
user_id INTEGER NOT NULL,
ip VARCHAR(50) NOT NULL,
login_time TIMESTAMP NOT NULL DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id)
);
DROP database social_media;
CREATE DATABASE social_media;
--USE social_media;
DROP TABLE login;
DROP TABLE bookmarks;
DROP TABLE post_tags;
DROP TABLE hashtag_follow;
DROP TABLE hashtags;
DROP TABLE follows;
DROP TABLE comment_likes;
DROP TABLE post_likes;
DROP TABLE comments;
DROP TABLE post;
DROP TABLE videos;
DROP TABLE photos;
DROP TABLE users;
CREATE TABLE users (
user_id SERIAL PRIMARY KEY,
username VARCHAR(255) UNIQUE NOT NULL,
profile_photo_url VARCHAR(255) DEFAULT 'https://picsum.photos/100',
bio VARCHAR(255),
created_at TIMESTAMP DEFAULT NOW()
);
ALTER TABLE users
ADD email VARCHAR(30) NOT NULL;
CREATE TABLE photos (
photo_id SERIAL PRIMARY KEY,
photo_url VARCHAR(255) NOT NULL UNIQUE,
post_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
size FLOAT CHECK (size<5)
);
CREATE TABLE videos (
video_id SERIAL PRIMARY KEY,
video_url VARCHAR(255) NOT NULL UNIQUE,
post_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
size FLOAT CHECK (size<10)
);
CREATE TABLE post (
post_id SERIAL PRIMARY KEY,
photo_id INTEGER,
video_id INTEGER,
user_id INTEGER NOT NULL,
caption VARCHAR(200),
location VARCHAR(50) ,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(photo_id) REFERENCES photos(photo_id),
FOREIGN KEY(video_id) REFERENCES videos(video_id)
);
CREATE TABLE comments (
comment_id SERIAL PRIMARY KEY,
comment_text VARCHAR(255) NOT NULL,
post_id INTEGER NOT NULL,
user_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(post_id) REFERENCES post(post_id),
FOREIGN KEY(user_id) REFERENCES users(user_id)
);
CREATE TABLE post_likes (
user_id INTEGER NOT NULL,
post_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(post_id) REFERENCES post(post_id),
PRIMARY KEY(user_id, post_id)
);
CREATE TABLE comment_likes (
user_id INTEGER NOT NULL,
comment_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(comment_id) REFERENCES comments(comment_id),
PRIMARY KEY(user_id, comment_id)
);
CREATE TABLE follows (
follower_id INTEGER NOT NULL,
followee_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(follower_id) REFERENCES users(user_id),
FOREIGN KEY(followee_id) REFERENCES users(user_id),
PRIMARY KEY(follower_id, followee_id)
);
CREATE TABLE hashtags (
hashtag_id SERIAL PRIMARY KEY,
hashtag_name VARCHAR(255) UNIQUE,
created_at TIMESTAMP DEFAULT NOW()
);
CREATE TABLE hashtag_follow (
user_id INTEGER NOT NULL,
hashtag_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id),
FOREIGN KEY(hashtag_id) REFERENCES hashtags(hashtag_id),
PRIMARY KEY(user_id, hashtag_id)
);
CREATE TABLE post_tags (
post_id INTEGER NOT NULL,
hashtag_id INTEGER NOT NULL,
FOREIGN KEY(post_id) REFERENCES post(post_id),
FOREIGN KEY(hashtag_id) REFERENCES hashtags(hashtag_id),
PRIMARY KEY(post_id, hashtag_id)
);
CREATE TABLE bookmarks (
post_id INTEGER NOT NULL,
user_id INTEGER NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
FOREIGN KEY(post_id) REFERENCES post(post_id),
FOREIGN KEY(user_id) REFERENCES users(user_id),
PRIMARY KEY(user_id, post_id)
);
CREATE TABLE login (
login_id SERIAL NOT NULL PRIMARY KEY,
user_id INTEGER NOT NULL,
ip VARCHAR(50) NOT NULL,
login_time TIMESTAMP NOT NULL DEFAULT NOW(),
FOREIGN KEY(user_id) REFERENCES users(user_id)
);

0
ISEN/BDD/PostgreSQLInstallCIR2.pdf → ISEN/BDD/CIR2/PostgreSQLInstallCIR2.pdf
View File

0
ISEN/BDD/Postgre_SQL_Cheat_Sheet_3432a8648a.png → ISEN/BDD/CIR2/Postgre_SQL_Cheat_Sheet_3432a8648a.png
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Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 488 KiB

After

Width:  |  Height:  |  Size: 488 KiB

4
ISEN/BDD/Projet/test.sql → ISEN/BDD/CIR2/Projet/test.sql
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@@ -1,2 +1,2 @@
-- Select all medecin where m_postal contains 44***--
SELECT * FROM medecin WHERE CAST(m_postal AS TEXT) LIKE '44%' AND m_specialty = 'Rhumatologue';
-- Select all medecin where m_postal contains 44***--
SELECT * FROM medecin WHERE CAST(m_postal AS TEXT) LIKE '44%' AND m_specialty = 'Rhumatologue';

68
ISEN/BDD/TD2.canvas → ISEN/BDD/CIR2/TD2.canvas
View File

@@ -1,35 +1,35 @@
{
"nodes":[
{"id":"7ea264b035b0efcd","type":"text","text":"Trajet","x":-380,"y":-320,"width":250,"height":60},
{"id":"1cc2c73aead821d5","type":"text","text":"Ville","x":400,"y":-320,"width":250,"height":60},
{"id":"c3c8f58e38efdf7f","type":"text","text":"DateDépot","x":-130,"y":-180,"width":250,"height":60},
{"id":"45d85169fc9cfe17","type":"text","text":"IdTrajet","x":-630,"y":-140,"width":250,"height":60},
{"id":"f3c4eae1374c4adf","type":"text","text":"TypeTrajet","x":-330,"y":100,"width":250,"height":60},
{"id":"2d94b650f87430cc","type":"text","text":"PrénomDéposant","x":-1585,"y":-317,"width":250,"height":60},
{"id":"418cc665fbf08738","type":"text","text":"Utilisateur","x":-1460,"y":-457,"width":250,"height":60},
{"id":"23a8ca04dd21c41c","type":"text","text":"NomDéposant","x":-1335,"y":-317,"width":250,"height":60},
{"id":"3af1970463a36c54","type":"text","text":"IdUtilisateur","x":-1460,"y":-170,"width":250,"height":60},
{"id":"63da7cd3cfeefeed","type":"text","text":"Mail","x":-1740,"y":-200,"width":250,"height":60},
{"id":"8a6c3b7cf6bc078d","type":"text","text":"DateNaissance","x":-1210,"y":-110,"width":250,"height":60},
{"id":"efdc9d6d8cf22755","type":"text","text":"Insee","x":415,"y":-50,"width":250,"height":60},
{"id":"f4dbbcb2c5a2235f","type":"text","text":"CodePostal","x":565,"y":-170,"width":250,"height":60},
{"id":"bbf335ee303f44cb","type":"text","text":"NomVille","x":220,"y":-110,"width":250,"height":60},
{"id":"2fb10a530ffba255","x":-600,"y":-20,"width":250,"height":60,"type":"text","text":"Véhicule"},
{"id":"3ed9972ce4022231","x":-160,"y":-20,"width":250,"height":60,"type":"text","text":"Carburant"}
],
"edges":[
{"id":"a4d1429cacdfc2f0","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"c3c8f58e38efdf7f","toSide":"top"},
{"id":"a5e6d7224fd47113","fromNode":"418cc665fbf08738","fromSide":"bottom","toNode":"2d94b650f87430cc","toSide":"top"},
{"id":"2b4b8222af3baa6a","fromNode":"418cc665fbf08738","fromSide":"bottom","toNode":"23a8ca04dd21c41c","toSide":"top"},
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{"id":"13a3cbd5913bee38","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"45d85169fc9cfe17","toSide":"top"},
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{"id":"60b014dc2334b2cf","fromNode":"1cc2c73aead821d5","fromSide":"bottom","toNode":"f4dbbcb2c5a2235f","toSide":"top"},
{"id":"2a0ded1a75d5a15c","fromNode":"1cc2c73aead821d5","fromSide":"bottom","toNode":"efdc9d6d8cf22755","toSide":"top"},
{"id":"af9d3a00a70ed8e8","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"3ed9972ce4022231","toSide":"top"},
{"id":"350e44657d72f842","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"2fb10a530ffba255","toSide":"top"}
]
{
"nodes":[
{"id":"7ea264b035b0efcd","type":"text","text":"Trajet","x":-380,"y":-320,"width":250,"height":60},
{"id":"1cc2c73aead821d5","type":"text","text":"Ville","x":400,"y":-320,"width":250,"height":60},
{"id":"c3c8f58e38efdf7f","type":"text","text":"DateDépot","x":-130,"y":-180,"width":250,"height":60},
{"id":"45d85169fc9cfe17","type":"text","text":"IdTrajet","x":-630,"y":-140,"width":250,"height":60},
{"id":"f3c4eae1374c4adf","type":"text","text":"TypeTrajet","x":-330,"y":100,"width":250,"height":60},
{"id":"2d94b650f87430cc","type":"text","text":"PrénomDéposant","x":-1585,"y":-317,"width":250,"height":60},
{"id":"418cc665fbf08738","type":"text","text":"Utilisateur","x":-1460,"y":-457,"width":250,"height":60},
{"id":"23a8ca04dd21c41c","type":"text","text":"NomDéposant","x":-1335,"y":-317,"width":250,"height":60},
{"id":"3af1970463a36c54","type":"text","text":"IdUtilisateur","x":-1460,"y":-170,"width":250,"height":60},
{"id":"63da7cd3cfeefeed","type":"text","text":"Mail","x":-1740,"y":-200,"width":250,"height":60},
{"id":"8a6c3b7cf6bc078d","type":"text","text":"DateNaissance","x":-1210,"y":-110,"width":250,"height":60},
{"id":"efdc9d6d8cf22755","type":"text","text":"Insee","x":415,"y":-50,"width":250,"height":60},
{"id":"f4dbbcb2c5a2235f","type":"text","text":"CodePostal","x":565,"y":-170,"width":250,"height":60},
{"id":"bbf335ee303f44cb","type":"text","text":"NomVille","x":220,"y":-110,"width":250,"height":60},
{"id":"2fb10a530ffba255","x":-600,"y":-20,"width":250,"height":60,"type":"text","text":"Véhicule"},
{"id":"3ed9972ce4022231","x":-160,"y":-20,"width":250,"height":60,"type":"text","text":"Carburant"}
],
"edges":[
{"id":"a4d1429cacdfc2f0","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"c3c8f58e38efdf7f","toSide":"top"},
{"id":"a5e6d7224fd47113","fromNode":"418cc665fbf08738","fromSide":"bottom","toNode":"2d94b650f87430cc","toSide":"top"},
{"id":"2b4b8222af3baa6a","fromNode":"418cc665fbf08738","fromSide":"bottom","toNode":"23a8ca04dd21c41c","toSide":"top"},
{"id":"a012028c4a655a16","fromNode":"418cc665fbf08738","fromSide":"bottom","toNode":"3af1970463a36c54","toSide":"top"},
{"id":"13a3cbd5913bee38","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"45d85169fc9cfe17","toSide":"top"},
{"id":"61623a302a69ec2d","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"f3c4eae1374c4adf","toSide":"top"},
{"id":"3634bc991f69ee01","fromNode":"418cc665fbf08738","fromSide":"bottom","toNode":"8a6c3b7cf6bc078d","toSide":"top"},
{"id":"0fa541edc0149104","fromNode":"418cc665fbf08738","fromSide":"bottom","toNode":"63da7cd3cfeefeed","toSide":"top"},
{"id":"e8301bd260918c66","fromNode":"1cc2c73aead821d5","fromSide":"bottom","toNode":"bbf335ee303f44cb","toSide":"top"},
{"id":"60b014dc2334b2cf","fromNode":"1cc2c73aead821d5","fromSide":"bottom","toNode":"f4dbbcb2c5a2235f","toSide":"top"},
{"id":"2a0ded1a75d5a15c","fromNode":"1cc2c73aead821d5","fromSide":"bottom","toNode":"efdc9d6d8cf22755","toSide":"top"},
{"id":"af9d3a00a70ed8e8","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"3ed9972ce4022231","toSide":"top"},
{"id":"350e44657d72f842","fromNode":"7ea264b035b0efcd","fromSide":"bottom","toNode":"2fb10a530ffba255","toSide":"top"}
]
}

12
ISEN/BDD/TP1/.idea/.gitignore → ISEN/BDD/CIR2/TP1/.idea/.gitignore generated vendored
View File

@@ -1,6 +1,6 @@
# Default ignored files
/shelf/
/workspace.xml
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml
# Default ignored files
/shelf/
/workspace.xml
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml

14
ISEN/BDD/TP1/.idea/TP1.iml → ISEN/BDD/CIR2/TP1/.idea/TP1.iml generated
View File

@@ -1,8 +1,8 @@
<?xml version="1.0" encoding="UTF-8"?>
<module type="DBE_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$/.." />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<?xml version="1.0" encoding="UTF-8"?>
<module type="DBE_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$/.." />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

38
ISEN/BDD/TP1/.idea/dataSources.xml → ISEN/BDD/CIR2/TP1/.idea/dataSources.xml generated
View File

@@ -1,20 +1,20 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="DataSourceManagerImpl" format="xml" multifile-model="true">
<data-source source="LOCAL" name="postgres@172.29.205.116" uuid="305d7a75-1cff-4eed-a7b5-0ab47d3d1989">
<driver-ref>postgresql</driver-ref>
<synchronize>true</synchronize>
<jdbc-driver>org.postgresql.Driver</jdbc-driver>
<jdbc-url>jdbc:postgresql://172.29.205.116:5432/postgres</jdbc-url>
<working-dir>$ProjectFileDir$</working-dir>
</data-source>
<data-source source="LOCAL" name="TP6@172.29.205.116" uuid="4e251db2-c6c3-4298-aaea-359a3e69ad27">
<driver-ref>mongo</driver-ref>
<synchronize>true</synchronize>
<remarks>MongoDB TP6</remarks>
<jdbc-driver>com.dbschema.MongoJdbcDriver</jdbc-driver>
<jdbc-url>mongodb://172.29.205.116:27017/TP6</jdbc-url>
<working-dir>$ProjectFileDir$</working-dir>
</data-source>
</component>
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="DataSourceManagerImpl" format="xml" multifile-model="true">
<data-source source="LOCAL" name="postgres@172.29.205.116" uuid="305d7a75-1cff-4eed-a7b5-0ab47d3d1989">
<driver-ref>postgresql</driver-ref>
<synchronize>true</synchronize>
<jdbc-driver>org.postgresql.Driver</jdbc-driver>
<jdbc-url>jdbc:postgresql://172.29.205.116:5432/postgres</jdbc-url>
<working-dir>$ProjectFileDir$</working-dir>
</data-source>
<data-source source="LOCAL" name="TP6@172.29.205.116" uuid="4e251db2-c6c3-4298-aaea-359a3e69ad27">
<driver-ref>mongo</driver-ref>
<synchronize>true</synchronize>
<remarks>MongoDB TP6</remarks>
<jdbc-driver>com.dbschema.MongoJdbcDriver</jdbc-driver>
<jdbc-url>mongodb://172.29.205.116:27017/TP6</jdbc-url>
<working-dir>$ProjectFileDir$</working-dir>
</data-source>
</component>
</project>

12
ISEN/BDD/TP1/.idea/discord.xml → ISEN/BDD/CIR2/TP1/.idea/discord.xml generated
View File

@@ -1,7 +1,7 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="DiscordProjectSettings">
<option name="show" value="PROJECT_FILES" />
<option name="description" value="" />
</component>
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="DiscordProjectSettings">
<option name="show" value="PROJECT_FILES" />
<option name="description" value="" />
</component>
</project>

14
ISEN/BDD/TP1/.idea/modules.xml → ISEN/BDD/CIR2/TP1/.idea/modules.xml generated
View File

@@ -1,8 +1,8 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/TP1.iml" filepath="$PROJECT_DIR$/.idea/TP1.iml" />
</modules>
</component>
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/TP1.iml" filepath="$PROJECT_DIR$/.idea/TP1.iml" />
</modules>
</component>
</project>

26
ISEN/BDD/TP1/.idea/sqldialects.xml → ISEN/BDD/CIR2/TP1/.idea/sqldialects.xml generated
View File

@@ -1,14 +1,14 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="SqlDialectMappings">
<file url="file://$PROJECT_DIR$/ITtpisen.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/TP1.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP2/TP2.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP3/TP3.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP4/TP4.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP4/postgres-sakila-schema.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP5/TP5_1.sql" dialect="GenericSQL" />
<file url="file://$PROJECT_DIR$/../TP6/TP6.sql" dialect="MongoDB" />
<file url="PROJECT" dialect="PostgreSQL" />
</component>
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="SqlDialectMappings">
<file url="file://$PROJECT_DIR$/ITtpisen.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/TP1.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP2/TP2.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP3/TP3.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP4/TP4.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP4/postgres-sakila-schema.sql" dialect="PostgreSQL" />
<file url="file://$PROJECT_DIR$/../TP5/TP5_1.sql" dialect="GenericSQL" />
<file url="file://$PROJECT_DIR$/../TP6/TP6.sql" dialect="MongoDB" />
<file url="PROJECT" dialect="PostgreSQL" />
</component>
</project>

64
ISEN/BDD/TP1/CTtpisen.sql → ISEN/BDD/CIR2/TP1/CTtpisen.sql
View File

@@ -1,33 +1,33 @@
drop table if exists personne cascade;
CREATE TABLE personne
(
login VARCHAR (20),
nom VARCHAR (20) NOT NULL,
prenom VARCHAR (20) NOT NULL,
sexe VARCHAR(1) NOT NULL,
PRIMARY KEY(login) );
drop table if exists service cascade;
CREATE TABLE service (
num_service INTEGER PRIMARY KEY,
nom_service VARCHAR(50) NOT NULL,
ville VARCHAR(50) NOT NULL
);
drop table if exists employe cascade;
CREATE TABLE employe (
numemp SERIAL PRIMARY KEY,
nom VARCHAR(20) NOT NULL,
fonction VARCHAR(10) NOT NULL,
numemp_sup INTEGER,
date_embauche DATE NOT NULL,
salaire NUMERIC(7,2) NOT NULL,
comm NUMERIC(7,2),
num_service INTEGER NOT NULL,
FOREIGN KEY (num_service) REFERENCES service (num_service),
FOREIGN KEY (numemp_sup) REFERENCES employe(numemp)
drop table if exists personne cascade;
CREATE TABLE personne
(
login VARCHAR (20),
nom VARCHAR (20) NOT NULL,
prenom VARCHAR (20) NOT NULL,
sexe VARCHAR(1) NOT NULL,
PRIMARY KEY(login) );
drop table if exists service cascade;
CREATE TABLE service (
num_service INTEGER PRIMARY KEY,
nom_service VARCHAR(50) NOT NULL,
ville VARCHAR(50) NOT NULL
);
drop table if exists employe cascade;
CREATE TABLE employe (
numemp SERIAL PRIMARY KEY,
nom VARCHAR(20) NOT NULL,
fonction VARCHAR(10) NOT NULL,
numemp_sup INTEGER,
date_embauche DATE NOT NULL,
salaire NUMERIC(7,2) NOT NULL,
comm NUMERIC(7,2),
num_service INTEGER NOT NULL,
FOREIGN KEY (num_service) REFERENCES service (num_service),
FOREIGN KEY (numemp_sup) REFERENCES employe(numemp)
);

36
ISEN/BDD/TP1/ITtpisen.sql → ISEN/BDD/CIR2/TP1/ITtpisen.sql
View File

@@ -1,19 +1,19 @@
INSERT INTO service values (10, 'siege','Paris');
INSERT INTO service values (20, 'recherche','Brest');
INSERT INTO service values (30, 'commercial','Lyon');
INSERT INTO service values (40, 'production','Lille');
INSERT INTO employe values (839,'Leroy','pdg',null,'2001-11-17',5000,null,10);
INSERT INTO employe values (566,'Dupont','directeur',839,'2001-04-02',2975,null,20);
INSERT INTO employe values (902,'Duguet','ingenieur',566,'2001-12-03',3000,null,20);
INSERT INTO employe values (369,'Lefevre','secretaire',902,'2000-12-17',800,null,20);
INSERT INTO employe values (698,'Lenoir','directeur',839,'2001-05-01',2850,null,30);
INSERT INTO employe values (499,'Lefort','commercial',698,'2001-02-20',1600,300,30);
INSERT INTO employe values (521,'Garde','commercial',698,'2001-02-22',1250,500,30);
INSERT INTO employe values (654,'Martin','commercial',698,'2001-09-28',1250,1400,30);
INSERT INTO employe values (782,'Leclerc','directeur',839,'2001-06-09',2450,null,10);
INSERT INTO employe values (788,'Lescaut','ingenieur',566,'2001-11-09',3000,null,20);
INSERT INTO employe values (844,'Tournier','commercial',698,'2001-09-08',1500,0,30);
INSERT INTO employe values (876,'Adam','secretaire',788,'2000-09-23',1100,null,20);
INSERT INTO employe values (900,'Jan','secretaire',698,'2000-12-03',950,null,30);
INSERT INTO service values (10, 'siege','Paris');
INSERT INTO service values (20, 'recherche','Brest');
INSERT INTO service values (30, 'commercial','Lyon');
INSERT INTO service values (40, 'production','Lille');
INSERT INTO employe values (839,'Leroy','pdg',null,'2001-11-17',5000,null,10);
INSERT INTO employe values (566,'Dupont','directeur',839,'2001-04-02',2975,null,20);
INSERT INTO employe values (902,'Duguet','ingenieur',566,'2001-12-03',3000,null,20);
INSERT INTO employe values (369,'Lefevre','secretaire',902,'2000-12-17',800,null,20);
INSERT INTO employe values (698,'Lenoir','directeur',839,'2001-05-01',2850,null,30);
INSERT INTO employe values (499,'Lefort','commercial',698,'2001-02-20',1600,300,30);
INSERT INTO employe values (521,'Garde','commercial',698,'2001-02-22',1250,500,30);
INSERT INTO employe values (654,'Martin','commercial',698,'2001-09-28',1250,1400,30);
INSERT INTO employe values (782,'Leclerc','directeur',839,'2001-06-09',2450,null,10);
INSERT INTO employe values (788,'Lescaut','ingenieur',566,'2001-11-09',3000,null,20);
INSERT INTO employe values (844,'Tournier','commercial',698,'2001-09-08',1500,0,30);
INSERT INTO employe values (876,'Adam','secretaire',788,'2000-09-23',1100,null,20);
INSERT INTO employe values (900,'Jan','secretaire',698,'2000-12-03',950,null,30);
INSERT INTO employe values (934,'Meunier','secretaire',782,'2002-01-23',1300,null,10);

18
ISEN/BDD/TP1/TP1.sql → ISEN/BDD/CIR2/TP1/TP1.sql
View File

@@ -1,10 +1,10 @@
SELECT nom, salaire FROM employe WHERE salaire >= 1000 AND salaire <=1500 ORDER BY salaire, nom;
SELECT nom, salaire, comm FROM employe WHERE comm IS NOT NULL;
SELECT nom, date_embauche FROM employe WHERE date_embauche >= '2001-01-01' AND date_embauche <= '2001-12-31' ORDER BY date_embauche;
SELECT * FROM employe WHERE fonction != 'secretaire';
SELECT nom, fonction, num_service FROM employe WHERE fonction = 'directeur' AND (num_service = 20 OR num_service = 30);
SELECT nom FROM employe WHERE nom LIKE 'LE%' OR nom LIKE 'le%' OR nom LIKE 'Le%' OR nom LIKE 'lE%' ORDER BY LENGTH(nom), nom;
SELECT nom, AGE(CURRENT_DATE, date_embauche) AS "Durée d'embauche" FROM employe ORDER BY AGE(CURRENT_DATE, date_embauche);
SELECT nom, fonction, salaire, comm, salaire + COALESCE(comm, 0) AS "Revenu mensuel" FROM employe ORDER BY "Revenu mensuel";
SELECT COUNT(*) FROM employe WHERE comm > salaire / 4;
SELECT nom, salaire FROM employe WHERE salaire >= 1000 AND salaire <=1500 ORDER BY salaire, nom;
SELECT nom, salaire, comm FROM employe WHERE comm IS NOT NULL;
SELECT nom, date_embauche FROM employe WHERE date_embauche >= '2001-01-01' AND date_embauche <= '2001-12-31' ORDER BY date_embauche;
SELECT * FROM employe WHERE fonction != 'secretaire';
SELECT nom, fonction, num_service FROM employe WHERE fonction = 'directeur' AND (num_service = 20 OR num_service = 30);
SELECT nom FROM employe WHERE nom LIKE 'LE%' OR nom LIKE 'le%' OR nom LIKE 'Le%' OR nom LIKE 'lE%' ORDER BY LENGTH(nom), nom;
SELECT nom, AGE(CURRENT_DATE, date_embauche) AS "Durée d'embauche" FROM employe ORDER BY AGE(CURRENT_DATE, date_embauche);
SELECT nom, fonction, salaire, comm, salaire + COALESCE(comm, 0) AS "Revenu mensuel" FROM employe ORDER BY "Revenu mensuel";
SELECT COUNT(*) FROM employe WHERE comm > salaire / 4;
SELECT MIN(salaire) AS "salaire min", ROUND(AVG(salaire),2) AS "salaire moy", MAX(salaire) AS "salaire max", ROUND(MAX(salaire)/MIN(salaire)) AS "rapport max/min" FROM employe;

0
ISEN/BDD/TP1/Tp1.pdf → ISEN/BDD/CIR2/TP1/Tp1.pdf
View File

58
ISEN/BDD/TP2/TP2.sql → ISEN/BDD/CIR2/TP2/TP2.sql
View File

@@ -1,30 +1,30 @@
-- 1/ Requêtes avec équi-jointure --
--Afficher le nom, la fonction et le lieu de travail des employés, triés par lieu de travail et fonction--
SELECT nom, fonction, ville FROM employe JOIN public.service s on employe.num_service = s.num_service ORDER BY ville, fonction;
-- Afficher le nom et la fonction des employés travaillant à Brest --
SELECT nom, fonction FROM employe JOIN public.service s on employe.num_service = s.num_service WHERE ville = 'Brest';
-- Afficher le nom et la fonction des employés dont le supérieur hiérarchique n’est pas le PDG --
SELECT nom, fonction FROM employe JOIN public.service s on employe.num_service = s.num_service WHERE numemp_sup <> 1;
-- Afficher le nom, la fonction, le nom et la fonction du supérieur hiérarchique (renommer ces 2 colonnes) et le lieu de travail des employés, triés par fonction et nom --
SELECT nom, fonction, nom AS nom_sup, fonction AS fonction_sup, ville FROM employe JOIN public.service s on employe.num_service = s.num_service ORDER BY fonction, nom;
-- 2/ Requêtes avec "GROUP BY" --
-- Afficher le nombre d'employés par service --
SELECT nom_service, COUNT(*) FROM employe JOIN public.service s on employe.num_service = s.num_service GROUP BY nom_service;
-- Afficher le lieu de travail, le nombre d’employés et leur salaire moyen, par lieu de travail --
SELECT ville, COUNT(*), AVG(salaire) FROM employe JOIN public.service s on employe.num_service = s.num_service GROUP BY ville;
-- 3/ Requêtes avec imbrication de "SELECT" --
-- Afficher le numéro et nom des services qui n’ont aucun employé --
SELECT num_service, nom_service FROM service WHERE num_service NOT IN (SELECT num_service FROM employe);
-- 4/ Bonus --
-- Reprendre la quatrième requêtes de la partie 1), en affichant aussi le PDG (indice : jointure externe) --
SELECT nom, fonction, nom AS nom_sup, fonction AS fonction_sup, ville FROM employe LEFT JOIN public.service s on employe.num_service = s.num_service ORDER BY fonction, nom;
-- Rechercher plusieurs variantes de la requête de la partie 3) : avec sous-select synchronisé, avec jointure externe--
-- 1/ Requêtes avec équi-jointure --
--Afficher le nom, la fonction et le lieu de travail des employés, triés par lieu de travail et fonction--
SELECT nom, fonction, ville FROM employe JOIN public.service s on employe.num_service = s.num_service ORDER BY ville, fonction;
-- Afficher le nom et la fonction des employés travaillant à Brest --
SELECT nom, fonction FROM employe JOIN public.service s on employe.num_service = s.num_service WHERE ville = 'Brest';
-- Afficher le nom et la fonction des employés dont le supérieur hiérarchique n’est pas le PDG --
SELECT nom, fonction FROM employe JOIN public.service s on employe.num_service = s.num_service WHERE numemp_sup <> 1;
-- Afficher le nom, la fonction, le nom et la fonction du supérieur hiérarchique (renommer ces 2 colonnes) et le lieu de travail des employés, triés par fonction et nom --
SELECT nom, fonction, nom AS nom_sup, fonction AS fonction_sup, ville FROM employe JOIN public.service s on employe.num_service = s.num_service ORDER BY fonction, nom;
-- 2/ Requêtes avec "GROUP BY" --
-- Afficher le nombre d'employés par service --
SELECT nom_service, COUNT(*) FROM employe JOIN public.service s on employe.num_service = s.num_service GROUP BY nom_service;
-- Afficher le lieu de travail, le nombre d’employés et leur salaire moyen, par lieu de travail --
SELECT ville, COUNT(*), AVG(salaire) FROM employe JOIN public.service s on employe.num_service = s.num_service GROUP BY ville;
-- 3/ Requêtes avec imbrication de "SELECT" --
-- Afficher le numéro et nom des services qui n’ont aucun employé --
SELECT num_service, nom_service FROM service WHERE num_service NOT IN (SELECT num_service FROM employe);
-- 4/ Bonus --
-- Reprendre la quatrième requêtes de la partie 1), en affichant aussi le PDG (indice : jointure externe) --
SELECT nom, fonction, nom AS nom_sup, fonction AS fonction_sup, ville FROM employe LEFT JOIN public.service s on employe.num_service = s.num_service ORDER BY fonction, nom;
-- Rechercher plusieurs variantes de la requête de la partie 3) : avec sous-select synchronisé, avec jointure externe--
SELECT nom_service, COUNT(*) FROM service LEFT JOIN employe ON service.num_service = employe.num_service GROUP BY nom_service;

0
ISEN/BDD/TP2/Tp2.pdf → ISEN/BDD/CIR2/TP2/Tp2.pdf
View File

114
ISEN/BDD/TP3/TP3.sql → ISEN/BDD/CIR2/TP3/TP3.sql
View File

@@ -1,58 +1,58 @@
--Attention : Ne faites pas de commit avant que ce ne soit demandé.--
--Insérer un nouvel employé, de fonction directeur, embauché à la date d’aujourd’hui, dans le service 40. Son supérieur hiérarchique est le PDG (numemp_sup=839 ). Vous pouvez choisir son numéro (numemp), son nom et son salaire--
INSERT INTO employe (numemp, nom, fonction, date_embauche, salaire, numemp_sup, num_service) VALUES (1000, 'Marquet', 'Directeur', '2023-11-23', 10000, 839, 40);
--Insérer un second employé, de fonction ingenieur, encore embauché à la date d’aujourd’hui dans le service 40. Son supérieur hiérarchique est le directeur embauché précédemment.--
INSERT INTO employe(numemp, nom, fonction, date_embauche, salaire, numemp_sup, num_service) VALUES (1001, 'Duval', 'Ingénieur', '2023-11-23', 5000, 1000, 40);
-- Vérifiez, avec un select, que vous voyez bien ces deux employés.--
SELECT * FROM employe WHERE nom='Marquet' OR nom='Duval';
--Faites, dans la session principale, un commit pour valider la transaction (=insertion des deux nouveaux employés).--
COMMIT;
-- Vérifiez, avec un select, que maintenant vous voyez bien ces deux nouveaux employés dans la seconde session ouverte--
SELECT * FROM employe WHERE nom='MARQUET' OR nom='DUPONT';
--Dans la session principale, insérer un nouvel employé, de fonction directeur, embauché à la date d’aujourd’hui, dans le service 50. Est-ce que PostgreSQL l’accepte ? Si non, expliquer, puis passer au paragraphe 2 suivant--
--INSERT INTO employe (numemp, nom, fonction, date_embauche, salaire, numemp_sup, num_service) VALUES (1002, 'DUPUIS', 'Directeur', '2023-11-23', 10000, 839, 50);--
-- PostgreSQL n'accepte pas l'insertion car le service 50 n'existe pas. Il faut donc créer le service 50 avant d'insérer l'employé.
-- Augmentez le salaire de tous les employés de 10%. Vérifiez par un select tous les salaires toujours sans commit--
UPDATE employe SET salaire = salaire * 1.1;
SELECT * FROM employe;
--Faites un rollback.--
ROLLBACK;
SELECT * FROM employe;
--Mettez à jour la colonne numemp_sup de l’employé Dupont : donnez-lui la valeur 999. Est-ce que Postgresql l’accepte ? Expliquer--
UPDATE employe SET numemp_sup = 999 WHERE nom = 'Dupont';
-- PostgreSQL n'accepte pas l'update car le numéro 999 n'existe pas. Il faut donc créer l'employé 999 avant de mettre à jour l'employé Dupont.
--Faites un commit. Regardez, avec un select, si Dupont a été modifié. Si non, pourquoi ?--
COMMIT;
SELECT * FROM employe WHERE nom = 'Dupont';
-- Dupont n'a pas été modifié car le commit n'a pas été fait.--
--Supprimez les employés du service 40. Est-ce que Postgresql l’accepte ?--
DELETE FROM employe WHERE num_service = 40;
-- Oui PostgreSQL accepte la suppression car le service 40 existe.--
-- Supprimez le PDG. Est-ce que Postgresql l’accepte ? Si non, trouver une méthode pour pouvoir réaliser cette suppression en maintenant l’intégrité référentielle de la base--
DELETE FROM employe WHERE numemp = 839;
-- PostgreSQL n'accepte pas la suppression car le PDG est le supérieur hiérarchique de l'employé 1000. Il faut donc modifier le supérieur hiérarchique de l'employé 1000 avant de supprimer le PDG.--
-- Faites un rollback.--
ROLLBACK;
--Recréez la clé étrangère sur numemp_sup (alter table drop foreign key ... suivi de alter table add foreign key ..., cherchez la syntaxe précise en ligne), pour y rajouter une action référentielle de type on delete cascade--
ALTER TABLE employe DROP CONSTRAINT employe_numemp_sup_fkey;
ALTER TABLE employe ADD CONSTRAINT employe_numemp_sup_fkey FOREIGN KEY (numemp_sup) REFERENCES employe (numemp) ON DELETE CASCADE;
--Réessayez de supprimer le PDG--
DELETE FROM employe WHERE numemp = 839;
ROLLBACK;
--Attention : Ne faites pas de commit avant que ce ne soit demandé.--
--Insérer un nouvel employé, de fonction directeur, embauché à la date d’aujourd’hui, dans le service 40. Son supérieur hiérarchique est le PDG (numemp_sup=839 ). Vous pouvez choisir son numéro (numemp), son nom et son salaire--
INSERT INTO employe (numemp, nom, fonction, date_embauche, salaire, numemp_sup, num_service) VALUES (1000, 'Marquet', 'Directeur', '2023-11-23', 10000, 839, 40);
--Insérer un second employé, de fonction ingenieur, encore embauché à la date d’aujourd’hui dans le service 40. Son supérieur hiérarchique est le directeur embauché précédemment.--
INSERT INTO employe(numemp, nom, fonction, date_embauche, salaire, numemp_sup, num_service) VALUES (1001, 'Duval', 'Ingénieur', '2023-11-23', 5000, 1000, 40);
-- Vérifiez, avec un select, que vous voyez bien ces deux employés.--
SELECT * FROM employe WHERE nom='Marquet' OR nom='Duval';
--Faites, dans la session principale, un commit pour valider la transaction (=insertion des deux nouveaux employés).--
COMMIT;
-- Vérifiez, avec un select, que maintenant vous voyez bien ces deux nouveaux employés dans la seconde session ouverte--
SELECT * FROM employe WHERE nom='MARQUET' OR nom='DUPONT';
--Dans la session principale, insérer un nouvel employé, de fonction directeur, embauché à la date d’aujourd’hui, dans le service 50. Est-ce que PostgreSQL l’accepte ? Si non, expliquer, puis passer au paragraphe 2 suivant--
--INSERT INTO employe (numemp, nom, fonction, date_embauche, salaire, numemp_sup, num_service) VALUES (1002, 'DUPUIS', 'Directeur', '2023-11-23', 10000, 839, 50);--
-- PostgreSQL n'accepte pas l'insertion car le service 50 n'existe pas. Il faut donc créer le service 50 avant d'insérer l'employé.
-- Augmentez le salaire de tous les employés de 10%. Vérifiez par un select tous les salaires toujours sans commit--
UPDATE employe SET salaire = salaire * 1.1;
SELECT * FROM employe;
--Faites un rollback.--
ROLLBACK;
SELECT * FROM employe;
--Mettez à jour la colonne numemp_sup de l’employé Dupont : donnez-lui la valeur 999. Est-ce que Postgresql l’accepte ? Expliquer--
UPDATE employe SET numemp_sup = 999 WHERE nom = 'Dupont';
-- PostgreSQL n'accepte pas l'update car le numéro 999 n'existe pas. Il faut donc créer l'employé 999 avant de mettre à jour l'employé Dupont.
--Faites un commit. Regardez, avec un select, si Dupont a été modifié. Si non, pourquoi ?--
COMMIT;
SELECT * FROM employe WHERE nom = 'Dupont';
-- Dupont n'a pas été modifié car le commit n'a pas été fait.--
--Supprimez les employés du service 40. Est-ce que Postgresql l’accepte ?--
DELETE FROM employe WHERE num_service = 40;
-- Oui PostgreSQL accepte la suppression car le service 40 existe.--
-- Supprimez le PDG. Est-ce que Postgresql l’accepte ? Si non, trouver une méthode pour pouvoir réaliser cette suppression en maintenant l’intégrité référentielle de la base--
DELETE FROM employe WHERE numemp = 839;
-- PostgreSQL n'accepte pas la suppression car le PDG est le supérieur hiérarchique de l'employé 1000. Il faut donc modifier le supérieur hiérarchique de l'employé 1000 avant de supprimer le PDG.--
-- Faites un rollback.--
ROLLBACK;
--Recréez la clé étrangère sur numemp_sup (alter table drop foreign key ... suivi de alter table add foreign key ..., cherchez la syntaxe précise en ligne), pour y rajouter une action référentielle de type on delete cascade--
ALTER TABLE employe DROP CONSTRAINT employe_numemp_sup_fkey;
ALTER TABLE employe ADD CONSTRAINT employe_numemp_sup_fkey FOREIGN KEY (numemp_sup) REFERENCES employe (numemp) ON DELETE CASCADE;
--Réessayez de supprimer le PDG--
DELETE FROM employe WHERE numemp = 839;
ROLLBACK;
SELECT * FROM employe WHERE numemp = 839;

0
ISEN/BDD/TP3/Tp3.pdf → ISEN/BDD/CIR2/TP3/Tp3.pdf
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24
ISEN/BDD/TP4/TP4.sql → ISEN/BDD/CIR2/TP4/TP4.sql
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@@ -1,12 +1,12 @@
select title, name, release_year from film join film_category fc using(film_id) join category c on c.category_id=fc.category_id;
update actor set first_name='BRAD' where last_name='PITT';
select first_name, last_name from actor join film_actor fa using(actor_id) where fa.film_id=(select film_id from film where title='AMADEUS HOLY');
select title, (select count(*) from actor join film_actor fa using(actor_id) where fa.film_id=f.film_id) as "Nombre_acteurs" from film f order by "Nombre_acteurs" desc;
select a.first_name, a.last_name, (select count(*) from film_actor fa where fa.actor_id=a.actor_id) as "Nombre_films" from actor a order by "Nombre_films" desc limit 10;
select first_name, last_name, (select sum(amount) from payment join rental r using(rental_id) where r.customer_id=c.customer_id) as "Montants" from customer c order by "Montants" desc limit 10;
select name, city, (select sum(amount) from payment p where s.id=p.staff_id) as "Montants" from staff_list s;
select name, (select sum(amount) from payment p where s.id=p.staff_id and p.payment_date>='2005-06-15' and p.payment_date<='2005-07-14') as "Montants" from staff_list s;
select date(p.payment_date), s.name, s.city, sum(p.amount) as "Montant" from staff_list s left join payment p on s.id=p.staff_id and date(p.payment_date)>='2005-06-15' and date(p.payment_date)<='2005-07-14' group by date(p.payment_date), s.name, s.city order by date(p.payment_date);
select f.title, count(*) as "Nb loué" from film f join inventory using(film_id) join rental using(inventory_id) join payment using(rental_id) group by f.title order by "Nb loué" desc limit 10;
select f.title, count(*) as "Nb loué" from film f join inventory i using(film_id) join store using(store_id) join address a using(address_id) join city c using(city_id) join rental r on r.inventory_id=i.inventory_id join payment using(rental_id) where a.address='47 MySakila Drive' and c.city='Lethbridge' group by f.title order by "Nb loué" desc limit 10;
select f.title, avg(age(r.return_date,r.rental_date)) as "Durée" from film f join inventory using(film_id) join rental r using(inventory_id) group by f.title order by "Durée" desc limit 10;
select title, name, release_year from film join film_category fc using(film_id) join category c on c.category_id=fc.category_id;
update actor set first_name='BRAD' where last_name='PITT';
select first_name, last_name from actor join film_actor fa using(actor_id) where fa.film_id=(select film_id from film where title='AMADEUS HOLY');
select title, (select count(*) from actor join film_actor fa using(actor_id) where fa.film_id=f.film_id) as "Nombre_acteurs" from film f order by "Nombre_acteurs" desc;
select a.first_name, a.last_name, (select count(*) from film_actor fa where fa.actor_id=a.actor_id) as "Nombre_films" from actor a order by "Nombre_films" desc limit 10;
select first_name, last_name, (select sum(amount) from payment join rental r using(rental_id) where r.customer_id=c.customer_id) as "Montants" from customer c order by "Montants" desc limit 10;
select name, city, (select sum(amount) from payment p where s.id=p.staff_id) as "Montants" from staff_list s;
select name, (select sum(amount) from payment p where s.id=p.staff_id and p.payment_date>='2005-06-15' and p.payment_date<='2005-07-14') as "Montants" from staff_list s;
select date(p.payment_date), s.name, s.city, sum(p.amount) as "Montant" from staff_list s left join payment p on s.id=p.staff_id and date(p.payment_date)>='2005-06-15' and date(p.payment_date)<='2005-07-14' group by date(p.payment_date), s.name, s.city order by date(p.payment_date);
select f.title, count(*) as "Nb loué" from film f join inventory using(film_id) join rental using(inventory_id) join payment using(rental_id) group by f.title order by "Nb loué" desc limit 10;
select f.title, count(*) as "Nb loué" from film f join inventory i using(film_id) join store using(store_id) join address a using(address_id) join city c using(city_id) join rental r on r.inventory_id=i.inventory_id join payment using(rental_id) where a.address='47 MySakila Drive' and c.city='Lethbridge' group by f.title order by "Nb loué" desc limit 10;
select f.title, avg(age(r.return_date,r.rental_date)) as "Durée" from film f join inventory using(film_id) join rental r using(inventory_id) group by f.title order by "Durée" desc limit 10;

0
ISEN/BDD/TP4/Tp4.pdf → ISEN/BDD/CIR2/TP4/Tp4.pdf
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463308
ISEN/BDD/TP4/postgres-sakila-insert-data.sql → ISEN/BDD/CIR2/TP4/postgres-sakila-insert-data.sql
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3422
ISEN/BDD/TP4/postgres-sakila-schema.sql → ISEN/BDD/CIR2/TP4/postgres-sakila-schema.sql
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38
ISEN/BDD/TP5/TP5_1.sql → ISEN/BDD/CIR2/TP5/TP5_1.sql
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@@ -1,19 +1,19 @@
CREATE DATABASE testbdd;
CREATE ROLE tp6 WITH LOGIN PASSWORD 'a';
GRANT ALL PRIVILEGES ON DATABASE testbdd TO testuser;
CREATE TABLE IF NOT EXISTS public."table1" (
id SERIAL PRIMARY KEY,
username VARCHAR(50) NOT NULL,
password VARCHAR(50) NOT NULL,
);
CREATE TABLE IF NOT EXISTS public."table2" (
table2_id SERIAL PRIMARY KEY,
poulpe VARCHAR(50) NOT NULL,
);
--A partir de tp6 créer un deuxième utilisateur (rôle) ayant accès à la table "table1" uniquement avec les privilèges insert, select, update et delete--
CREATE ROLE tp6_2 WITH LOGIN PASSWORD 'a';
GRANT INSERT, SELECT, UPDATE, DELETE ON TABLE "table1" TO tp6_2;
CREATE DATABASE testbdd;
CREATE ROLE tp6 WITH LOGIN PASSWORD 'a';
GRANT ALL PRIVILEGES ON DATABASE testbdd TO testuser;
CREATE TABLE IF NOT EXISTS public."table1" (
id SERIAL PRIMARY KEY,
username VARCHAR(50) NOT NULL,
password VARCHAR(50) NOT NULL,
);
CREATE TABLE IF NOT EXISTS public."table2" (
table2_id SERIAL PRIMARY KEY,
poulpe VARCHAR(50) NOT NULL,
);
--A partir de tp6 créer un deuxième utilisateur (rôle) ayant accès à la table "table1" uniquement avec les privilèges insert, select, update et delete--
CREATE ROLE tp6_2 WITH LOGIN PASSWORD 'a';
GRANT INSERT, SELECT, UPDATE, DELETE ON TABLE "table1" TO tp6_2;

18
ISEN/BDD/TP5/TP5_2.sql → ISEN/BDD/CIR2/TP5/TP5_2.sql
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@@ -1,10 +1,10 @@
--Créer une vue permettant de visualiser le nom, la fonction, le salaire + la commission, le nom du supérieur hiérarchique, le nom du service et la ville des employés--
CREATE VIEW vue_employe AS SELECT e.nom, e.fonction, e.salaire, e.comm, e.numemp_sup, s.nom_service, s.ville FROM employe e, service s, employe e2 WHERE e.numemp_sup = e2.numemp AND e.num_service = e2.num_service;
-- Construire une requête sur cette vue permettant d’afficher uniquement les employés du service "siege"--
SELECT * FROM vue_employe WHERE nom_service = 'siege';
--Créer un nouvel utilisateur n’ayant accès qu’à cette vue (et vérifier ! !).--
CREATE ROLE tp5_2;
--Créer une vue permettant de visualiser le nom, la fonction, le salaire + la commission, le nom du supérieur hiérarchique, le nom du service et la ville des employés--
CREATE VIEW vue_employe AS SELECT e.nom, e.fonction, e.salaire, e.comm, e.numemp_sup, s.nom_service, s.ville FROM employe e, service s, employe e2 WHERE e.numemp_sup = e2.numemp AND e.num_service = e2.num_service;
-- Construire une requête sur cette vue permettant d’afficher uniquement les employés du service "siege"--
SELECT * FROM vue_employe WHERE nom_service = 'siege';
--Créer un nouvel utilisateur n’ayant accès qu’à cette vue (et vérifier ! !).--
CREATE ROLE tp5_2;
GRANT SELECT ON vue_employe TO tp5_2;

30
ISEN/BDD/TP5/TP5_3.sql → ISEN/BDD/CIR2/TP5/TP5_3.sql
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@@ -1,16 +1,16 @@
--Créer un champ salaireetcom de type double--
ALTER TABLE employe ADD COLUMN salaireetcom double precision;
-- Créer un déclencheur levant une alerte si la somme de salaire et commission indiquée dans salaireetcom est inférieure au montant du salaire--
UPDATE employe
SET salaireetcom = (SELECT salaire + COALESCE(comm, '0'));
CREATE FUNCTION negative_salaire() RETURNS trigger AS $negative_salaire$
BEGIN
IF NEW.salaire < 0 THEN
RAISE EXCEPTION 'Le salaire ne peut pas être négatif';
END IF;
END;
$negative_salaire$ LANGUAGE plpgsql;
--Créer un champ salaireetcom de type double--
ALTER TABLE employe ADD COLUMN salaireetcom double precision;
-- Créer un déclencheur levant une alerte si la somme de salaire et commission indiquée dans salaireetcom est inférieure au montant du salaire--
UPDATE employe
SET salaireetcom = (SELECT salaire + COALESCE(comm, '0'));
CREATE FUNCTION negative_salaire() RETURNS trigger AS $negative_salaire$
BEGIN
IF NEW.salaire < 0 THEN
RAISE EXCEPTION 'Le salaire ne peut pas être négatif';
END IF;
END;
$negative_salaire$ LANGUAGE plpgsql;
CREATE TRIGGER negative_salaire BEFORE INSERT OR UPDATE ON employe FOR EACH ROW EXECUTE PROCEDURE negative_salaire();

30
ISEN/BDD/TP5/TP5_4.sql → ISEN/BDD/CIR2/TP5/TP5_4.sql
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@@ -1,16 +1,16 @@
--Construire la requête qui affiche la durée moyenne des locations par catégorie de films. Le résultat sera présenté dans l’ordre décroissant des durées de location moyenne par catégorie.--
--rental_duration n'existe pas, il y a rental_date et return_date--
SELECT category.name, AVG(rental.return_date - rental.rental_date) AS "Durée moyenne de location" FROM category, film_category, rental WHERE category.category_id = film_category.category_id AND film_category.film_id = rental.inventory_id GROUP BY category.name ORDER BY AVG(rental.return_date - rental.rental_date) DESC;
--Utiliser EXPLAIN ANALYZE avant le SELECT pour visualiser la réalisation de la requête et mesurer le temps d’exécution.--
EXPLAIN ANALYZE SELECT category.name, AVG(rental.return_date - rental.rental_date) AS "Durée moyenne de location" FROM category, film_category, rental WHERE category.category_id = film_category.category_id AND film_category.film_id = rental.inventory_id GROUP BY category.name ORDER BY AVG(rental.return_date - rental.rental_date) DESC;
--Créer un index sur le champs rental_duration de la table film, refaire la requête précédente et comparer le temps (en utilisant EXPLAIN ANALYZE)--
CREATE INDEX idx_rental_duration ON film (rental_duration);
EXPLAIN ANALYZE SELECT category.name, AVG(rental.return_date - rental.rental_date) AS "Durée moyenne de location" FROM category, film_category, rental WHERE category.category_id = film_category.category_id AND film_category.film_id = rental.inventory_id GROUP BY category.name ORDER BY AVG(rental.return_date - rental.rental_date) DESC;
--Déterminer la taille des tables et indexes.--
SELECT pg_size_pretty(pg_total_relation_size('film'));
SELECT pg_size_pretty(pg_total_relation_size('film_category'));
SELECT pg_size_pretty(pg_total_relation_size('category'));
--Construire la requête qui affiche la durée moyenne des locations par catégorie de films. Le résultat sera présenté dans l’ordre décroissant des durées de location moyenne par catégorie.--
--rental_duration n'existe pas, il y a rental_date et return_date--
SELECT category.name, AVG(rental.return_date - rental.rental_date) AS "Durée moyenne de location" FROM category, film_category, rental WHERE category.category_id = film_category.category_id AND film_category.film_id = rental.inventory_id GROUP BY category.name ORDER BY AVG(rental.return_date - rental.rental_date) DESC;
--Utiliser EXPLAIN ANALYZE avant le SELECT pour visualiser la réalisation de la requête et mesurer le temps d’exécution.--
EXPLAIN ANALYZE SELECT category.name, AVG(rental.return_date - rental.rental_date) AS "Durée moyenne de location" FROM category, film_category, rental WHERE category.category_id = film_category.category_id AND film_category.film_id = rental.inventory_id GROUP BY category.name ORDER BY AVG(rental.return_date - rental.rental_date) DESC;
--Créer un index sur le champs rental_duration de la table film, refaire la requête précédente et comparer le temps (en utilisant EXPLAIN ANALYZE)--
CREATE INDEX idx_rental_duration ON film (rental_duration);
EXPLAIN ANALYZE SELECT category.name, AVG(rental.return_date - rental.rental_date) AS "Durée moyenne de location" FROM category, film_category, rental WHERE category.category_id = film_category.category_id AND film_category.film_id = rental.inventory_id GROUP BY category.name ORDER BY AVG(rental.return_date - rental.rental_date) DESC;
--Déterminer la taille des tables et indexes.--
SELECT pg_size_pretty(pg_total_relation_size('film'));
SELECT pg_size_pretty(pg_total_relation_size('film_category'));
SELECT pg_size_pretty(pg_total_relation_size('category'));
SELECT pg_size_pretty(pg_total_relation_size('rental'));

0
ISEN/BDD/TP5/Tp5.pdf → ISEN/BDD/CIR2/TP5/Tp5.pdf
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156
ISEN/BDD/TP6/TP6.sql → ISEN/BDD/CIR2/TP6/TP6.sql
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@@ -1,79 +1,79 @@
//db.machin = commande a mettre dans la console mongosh
// le nombre d’acteurs importés
SELECT COUNT(*) FROM acteur;
db.acteur.count();
// le nombre de films importés
SELECT COUNT(*) FROM film;
db.film.count();
SELECT name, age, occupation FROM acteur WHERE name="Doreen Riley";
db.acteur.find({name:"Doreen Riley"});
SELECT COUNT(*) FROM acteur WHERE age >= 18 AND age <= 25;
db.acteur.find({age:{$gte:18, $lte:25}});
SELECT COUNT(*) FROM acteur WHERE age > 18 AND age < 25;
db.acteur.find({age:{$gt:18, $lt:25}});
SELECT COUNT(*) FROM acteur WHERE occupation="artist";
db.acteur.find({occupation:"artist"});
// Nombre d’acteurs dont le nom contient "john" en ne tenant pas compte des majuscules
SELECT COUNT(*) FROM acteur WHERE name LIKE "%john%";
db.acteur.find({name:/john/i});
//Afficher les différents métiers et le nombre d’acteurs par métier
SELECT occupation, COUNT(*) FROM acteur GROUP BY occupation;
db.acteur.aggregate([{$group:{_id:"$occupation", count:{$sum:1}}}]);
//Afficher les 10 acteurs les plus vieux en affichant que le nom et l’age
SELECT name, age FROM acteur ORDER BY age DESC LIMIT 10;
db.acteur.find({},{name:1, age:1}).sort({age:-1}).limit(10);
//Afficher le nombre d’acteurs ayant joué dans le film dont l’id est 573
SELECT COUNT(*) FROM acteur WHERE movies.movieid=573;
db.acteur.find({"movies.movieid":573}).count();
SELECT COUNT(*) FROM acteur WHERE movies.movieid=260 OR movies.movieid=1196 OR movies.movieid=1210;
db.acteur.find({"movies.movieid":{$in:[260,1196,1210]}}).count();
//INSERTION
SELECT * FROM film WHERE title="Interstellar";
// Insérer dans la collection film le film de votre choix, puis faire la requête permettant de le retrouver
db.film.insertOne({title:"Interstellar", genre:["Adventure | Drama | Sci-Fi"]});
SELECT * FROM film WHERE title="Interstellar";
db.film.find({title:"Interstellar"});
//Modifier votre enregistrement de film pour lui ajouter une date (dans le titre), puis ré-afficher votre enregistrement
db.film.updateOne({title:"Interstellar"},{$set:{title:"Interstellar (2014)"}});
SELECT * FROM film WHERE title="Interstellar (2014)";
db.film.find({title:"Interstellar (2014)"});
//Modifier votre enregistrement de film pour lui ajouter une information , puis ré-afficher votre enregistrement
db.film.updateOne({title:"Interstellar (2014)"},{$set:{title:"Interstellar (2014)", info:{director:"Christopher Nolan", year:2014}}});
SELECT * FROM film WHERE title="Interstellar (2014)";
db.film.find({title:"Interstellar (2014)"});
//Insérer dans la collection film un autre film de votre choix, puis faire la requête permettant de le retrouver, puis de le supprimer
db.film.insertOne({title:"Avatar : La Voie de l'eau (2022)", genre:["Action | Adventure | Fantasy"]});
SELECT * FROM film WHERE title="Avatar : La Voie de l'eau (2022)";
db.film.find({title:"Avatar : La Voie de l'eau (2022)"});
db.film.deleteOne({title:"Avatar : La Voie de l'eau (2022)"});
//OPTIMISATION DE LA COLLECTION ACTEUR
// Faire une requête de recherche des acteurs dont l’age est 32 et déterminer le temps mis par la requête
SELECT * FROM acteur WHERE age=32;
db.acteur.find({age:32}).explain("executionStats");
// executionTimeMillis: 2,
//Faire un index sur l’age
db.acteur.createIndex({age:1});
//Faire une requête de recherche des acteurs dont l’age est 32 et déterminer le temps mis par la requête
SELECT * FROM acteur WHERE age=32;
db.acteur.find({age:32}).explain("executionStats");
//db.machin = commande a mettre dans la console mongosh
// le nombre d’acteurs importés
SELECT COUNT(*) FROM acteur;
db.acteur.count();
// le nombre de films importés
SELECT COUNT(*) FROM film;
db.film.count();
SELECT name, age, occupation FROM acteur WHERE name="Doreen Riley";
db.acteur.find({name:"Doreen Riley"});
SELECT COUNT(*) FROM acteur WHERE age >= 18 AND age <= 25;
db.acteur.find({age:{$gte:18, $lte:25}});
SELECT COUNT(*) FROM acteur WHERE age > 18 AND age < 25;
db.acteur.find({age:{$gt:18, $lt:25}});
SELECT COUNT(*) FROM acteur WHERE occupation="artist";
db.acteur.find({occupation:"artist"});
// Nombre d’acteurs dont le nom contient "john" en ne tenant pas compte des majuscules
SELECT COUNT(*) FROM acteur WHERE name LIKE "%john%";
db.acteur.find({name:/john/i});
//Afficher les différents métiers et le nombre d’acteurs par métier
SELECT occupation, COUNT(*) FROM acteur GROUP BY occupation;
db.acteur.aggregate([{$group:{_id:"$occupation", count:{$sum:1}}}]);
//Afficher les 10 acteurs les plus vieux en affichant que le nom et l’age
SELECT name, age FROM acteur ORDER BY age DESC LIMIT 10;
db.acteur.find({},{name:1, age:1}).sort({age:-1}).limit(10);
//Afficher le nombre d’acteurs ayant joué dans le film dont l’id est 573
SELECT COUNT(*) FROM acteur WHERE movies.movieid=573;
db.acteur.find({"movies.movieid":573}).count();
SELECT COUNT(*) FROM acteur WHERE movies.movieid=260 OR movies.movieid=1196 OR movies.movieid=1210;
db.acteur.find({"movies.movieid":{$in:[260,1196,1210]}}).count();
//INSERTION
SELECT * FROM film WHERE title="Interstellar";
// Insérer dans la collection film le film de votre choix, puis faire la requête permettant de le retrouver
db.film.insertOne({title:"Interstellar", genre:["Adventure | Drama | Sci-Fi"]});
SELECT * FROM film WHERE title="Interstellar";
db.film.find({title:"Interstellar"});
//Modifier votre enregistrement de film pour lui ajouter une date (dans le titre), puis ré-afficher votre enregistrement
db.film.updateOne({title:"Interstellar"},{$set:{title:"Interstellar (2014)"}});
SELECT * FROM film WHERE title="Interstellar (2014)";
db.film.find({title:"Interstellar (2014)"});
//Modifier votre enregistrement de film pour lui ajouter une information , puis ré-afficher votre enregistrement
db.film.updateOne({title:"Interstellar (2014)"},{$set:{title:"Interstellar (2014)", info:{director:"Christopher Nolan", year:2014}}});
SELECT * FROM film WHERE title="Interstellar (2014)";
db.film.find({title:"Interstellar (2014)"});
//Insérer dans la collection film un autre film de votre choix, puis faire la requête permettant de le retrouver, puis de le supprimer
db.film.insertOne({title:"Avatar : La Voie de l'eau (2022)", genre:["Action | Adventure | Fantasy"]});
SELECT * FROM film WHERE title="Avatar : La Voie de l'eau (2022)";
db.film.find({title:"Avatar : La Voie de l'eau (2022)"});
db.film.deleteOne({title:"Avatar : La Voie de l'eau (2022)"});
//OPTIMISATION DE LA COLLECTION ACTEUR
// Faire une requête de recherche des acteurs dont l’age est 32 et déterminer le temps mis par la requête
SELECT * FROM acteur WHERE age=32;
db.acteur.find({age:32}).explain("executionStats");
// executionTimeMillis: 2,
//Faire un index sur l’age
db.acteur.createIndex({age:1});
//Faire une requête de recherche des acteurs dont l’age est 32 et déterminer le temps mis par la requête
SELECT * FROM acteur WHERE age=32;
db.acteur.find({age:32}).explain("executionStats");
// executionTimeMillis: 2,

0
ISEN/BDD/TP6/Tp6_mongo.pdf → ISEN/BDD/CIR2/TP6/Tp6_mongo.pdf
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12080
ISEN/BDD/TP6/tpfilm_acteur.json → ISEN/BDD/CIR2/TP6/tpfilm_acteur.json
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12
ISEN/BDD/TP6/tpfilm_acteur2.json → ISEN/BDD/CIR2/TP6/tpfilm_acteur2.json
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@@ -1,7 +1,7 @@
[{ "_id" : 6041, "name" : "Smith John", "gender" : "M", "age" : 28, "occupation" : "engineer" },
{ "_id" : 6042, "name" : "Johnson Emily", "gender" : "F", "age" : 35, "occupation" : "teacher" },
{ "_id" : 6043, "name" : "Brown Michael", "gender" : "M", "age" : 40, "occupation" : "artist" },
{ "_id" : 6044, "name" : "Robert Downey Jr.", "gender" : "M", "age" : 58, "occupation" : "actor/writer" },
{ "_id" : 6045, "name" : "Acteur A", "gender" : "M", "age": 32, "occupation": "actor"},
{}
[{ "_id" : 6041, "name" : "Smith John", "gender" : "M", "age" : 28, "occupation" : "engineer" },
{ "_id" : 6042, "name" : "Johnson Emily", "gender" : "F", "age" : 35, "occupation" : "teacher" },
{ "_id" : 6043, "name" : "Brown Michael", "gender" : "M", "age" : 40, "occupation" : "artist" },
{ "_id" : 6044, "name" : "Robert Downey Jr.", "gender" : "M", "age" : 58, "occupation" : "actor/writer" },
{ "_id" : 6045, "name" : "Acteur A", "gender" : "M", "age": 32, "occupation": "actor"},
{}
]

7768
ISEN/BDD/TP6/tpfilm_film.json → ISEN/BDD/CIR2/TP6/tpfilm_film.json
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0
ISEN/BDD/TP7/Tp7.pdf → ISEN/BDD/CIR2/TP7/Tp7.pdf
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600
ISEN/BDD/TP7/admissions.txt → ISEN/BDD/CIR2/TP7/admissions.txt
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@@ -1,301 +1,301 @@
Serial No.,GRE Score,TOEFL Score,University Rating,SOP,ML, CGPA,Research,Admission
1,337,118,4,4.5,4.5,9.65,1,1
2,324,107,4,4,4.5,8.87,1,1
3,316,104,3,3,3.5,8,1,1
4,322,110,3,3.5,2.5,8.67,1,1
5,314,103,2,2,3,8.21,0,1
6,330,115,5,4.5,3,9.34,1,1
7,321,109,3,3,4,8.2,1,1
8,308,101,2,3,4,7.9,0,1
9,302,102,1,2,1.5,8,0,0
10,323,108,3,3.5,3,8.6,0,0
11,325,106,3,3.5,4,8.4,1,0
12,327,111,4,4,4.5,9,1,1
13,328,112,4,4,4.5,9.1,1,1
14,307,109,3,4,3,8,1,1
15,311,104,3,3.5,2,8.2,1,1
16,314,105,3,3.5,2.5,8.3,0,0
17,317,107,3,4,3,8.7,0,0
18,319,106,3,4,3,8,1,1
19,318,110,3,4,3,8.8,0,1
20,303,102,3,3.5,3,8.5,0,1
21,312,107,3,3,2,7.9,1,1
22,325,114,4,3,2,8.4,0,1
23,328,116,5,5,5,9.5,1,1
24,334,119,5,5,4.5,9.7,1,1
25,336,119,5,4,3.5,9.8,1,1
26,340,120,5,4.5,4.5,9.6,1,1
27,322,109,5,4.5,3.5,8.8,0,1
28,298,98,2,1.5,2.5,7.5,1,0
29,295,93,1,2,2,7.2,0,0
30,310,99,2,1.5,2,7.3,0,0
31,300,97,2,3,3,8.1,1,1
32,327,103,3,4,4,8.3,1,1
33,338,118,4,3,4.5,9.4,1,1
34,340,114,5,4,4,9.6,1,1
35,331,112,5,4,5,9.8,1,1
36,320,110,5,5,5,9.2,1,1
37,299,106,2,4,4,8.4,0,1
38,300,105,1,1,2,7.8,0,0
39,304,105,1,3,1.5,7.5,0,0
40,307,108,2,4,3.5,7.7,0,0
41,308,110,3,3.5,3,8,1,0
42,316,105,2,2.5,2.5,8.2,1,0
43,313,107,2,2.5,2,8.5,1,1
44,332,117,4,4.5,4,9.1,0,1
45,326,113,5,4.5,4,9.4,1,1
46,322,110,5,5,4,9.1,1,1
47,329,114,5,4,5,9.3,1,1
48,339,119,5,4.5,4,9.7,0,1
49,321,110,3,3.5,5,8.85,1,1
50,327,111,4,3,4,8.4,1,1
51,313,98,3,2.5,4.5,8.3,1,1
52,312,100,2,1.5,3.5,7.9,1,1
53,334,116,4,4,3,8,1,1
54,324,112,4,4,2.5,8.1,1,1
55,322,110,3,3,3.5,8,0,1
56,320,103,3,3,3,7.7,0,1
57,316,102,3,2,3,7.4,0,1
58,298,99,2,4,2,7.6,0,1
59,300,99,1,3,2,6.8,1,0
60,311,104,2,2,2,8.3,0,0
61,309,100,2,3,3,8.1,0,1
62,307,101,3,4,3,8.2,0,0
63,304,105,2,3,3,8.2,1,1
64,315,107,2,4,3,8.5,1,1
65,325,111,3,3,3.5,8.7,0,0
66,325,112,4,3.5,3.5,8.92,0,1
67,327,114,3,3,3,9.02,0,1
68,316,107,2,3.5,3.5,8.64,1,1
69,318,109,3,3.5,4,9.22,1,1
70,328,115,4,4.5,4,9.16,1,1
71,332,118,5,5,5,9.64,1,1
72,336,112,5,5,5,9.76,1,1
73,321,111,5,5,5,9.45,1,1
74,314,108,4,4.5,4,9.04,1,1
75,314,106,3,3,5,8.9,0,1
76,329,114,2,2,4,8.56,1,1
77,327,112,3,3,3,8.72,1,1
78,301,99,2,3,2,8.22,0,1
79,296,95,2,3,2,7.54,1,0
80,294,93,1,1.5,2,7.36,0,0
81,312,105,3,2,3,8.02,1,0
82,340,120,4,5,5,9.5,1,1
83,320,110,5,5,4.5,9.22,1,1
84,322,115,5,4,4.5,9.36,1,1
85,340,115,5,4.5,4.5,9.45,1,1
86,319,103,4,4.5,3.5,8.66,0,0
87,315,106,3,4.5,3.5,8.42,0,1
88,317,107,2,3.5,3,8.28,0,1
89,314,108,3,4.5,3.5,8.14,0,1
90,316,109,4,4.5,3.5,8.76,1,1
91,318,106,2,4,4,7.92,1,1
92,299,97,3,5,3.5,7.66,0,0
93,298,98,2,4,3,8.03,0,0
94,301,97,2,3,3,7.88,1,0
95,303,99,3,2,2.5,7.66,0,0
96,304,100,4,1.5,2.5,7.84,0,0
97,306,100,2,3,3,8,0,0
98,331,120,3,4,4,8.96,1,1
99,332,119,4,5,4.5,9.24,1,1
100,323,113,3,4,4,8.88,1,1
101,322,107,3,3.5,3.5,8.46,1,0
102,312,105,2,2.5,3,8.12,0,1
103,314,106,2,4,3.5,8.25,0,1
104,317,104,2,4.5,4,8.47,0,1
105,326,112,3,3.5,3,9.05,1,1
106,316,110,3,4,4.5,8.78,1,1
107,329,111,4,4.5,4.5,9.18,1,1
108,338,117,4,3.5,4.5,9.46,1,1
109,331,116,5,5,5,9.38,1,1
110,304,103,5,5,4,8.64,0,1
111,305,108,5,3,3,8.48,0,0
112,321,109,4,4,4,8.68,1,1
113,301,107,3,3.5,3.5,8.34,1,1
114,320,110,2,4,3.5,8.56,0,1
115,311,105,3,3.5,3,8.45,1,1
116,310,106,4,4.5,4.5,9.04,1,1
117,299,102,3,4,3.5,8.62,0,0
118,290,104,4,2,2.5,7.46,0,0
119,296,99,2,3,3.5,7.28,0,0
120,327,104,5,3,3.5,8.84,1,1
121,335,117,5,5,5,9.56,1,1
122,334,119,5,4.5,4.5,9.48,1,1
123,310,106,4,1.5,2.5,8.36,0,0
124,308,108,3,3.5,3.5,8.22,0,1
125,301,106,4,2.5,3,8.47,0,1
126,300,100,3,2,3,8.66,1,1
127,323,113,3,4,3,9.32,1,1
128,319,112,3,2.5,2,8.71,1,1
129,326,112,3,3.5,3,9.1,1,1
130,333,118,5,5,5,9.35,1,1
131,339,114,5,4,4.5,9.76,1,1
132,303,105,5,5,4.5,8.65,0,1
133,309,105,5,3.5,3.5,8.56,0,1
134,323,112,5,4,4.5,8.78,0,1
135,333,113,5,4,4,9.28,1,1
136,314,109,4,3.5,4,8.77,1,1
137,312,103,3,5,4,8.45,0,1
138,316,100,2,1.5,3,8.16,1,1
139,326,116,2,4.5,3,9.08,1,1
140,318,109,1,3.5,3.5,9.12,0,1
141,329,110,2,4,3,9.15,1,1
142,332,118,2,4.5,3.5,9.36,1,1
143,331,115,5,4,3.5,9.44,1,1
144,340,120,4,4.5,4,9.92,1,1
145,325,112,2,3,3.5,8.96,1,1
146,320,113,2,2,2.5,8.64,1,1
147,315,105,3,2,2.5,8.48,0,1
148,326,114,3,3,3,9.11,1,1
149,339,116,4,4,3.5,9.8,1,1
150,311,106,2,3.5,3,8.26,1,1
151,334,114,4,4,4,9.43,1,1
152,332,116,5,5,5,9.28,1,1
153,321,112,5,5,5,9.06,1,1
154,324,105,3,3,4,8.75,0,1
155,326,108,3,3,3.5,8.89,0,0
156,312,109,3,3,3,8.69,0,1
157,315,105,3,2,2.5,8.34,0,0
158,309,104,2,2,2.5,8.26,0,1
159,306,106,2,2,2.5,8.14,0,1
160,297,100,1,1.5,2,7.9,0,0
161,315,103,1,1.5,2,7.86,0,0
162,298,99,1,1.5,3,7.46,0,0
163,318,109,3,3,3,8.5,0,1
164,317,105,3,3.5,3,8.56,0,1
165,329,111,4,4.5,4,9.01,1,1
166,322,110,5,4.5,4,8.97,0,1
167,302,102,3,3.5,5,8.33,0,1
168,313,102,3,2,3,8.27,0,1
169,293,97,2,2,4,7.8,1,1
170,311,99,2,2.5,3,7.98,0,1
171,312,101,2,2.5,3.5,8.04,1,1
172,334,117,5,4,4.5,9.07,1,1
173,322,110,4,4,5,9.13,1,1
174,323,113,4,4,4.5,9.23,1,1
175,321,111,4,4,4,8.97,1,1
176,320,111,4,4.5,3.5,8.87,1,1
177,329,119,4,4.5,4.5,9.16,1,1
178,319,110,3,3.5,3.5,9.04,0,1
179,309,108,3,2.5,3,8.12,0,1
180,307,102,3,3,3,8.27,0,1
181,300,104,3,3.5,3,8.16,0,1
182,305,107,2,2.5,2.5,8.42,0,1
183,299,100,2,3,3.5,7.88,0,1
184,314,110,3,4,4,8.8,0,1
185,316,106,2,2.5,4,8.32,0,1
186,327,113,4,4.5,4.5,9.11,1,1
187,317,107,3,3.5,3,8.68,1,1
188,335,118,5,4.5,3.5,9.44,1,1
189,331,115,5,4.5,3.5,9.36,1,1
190,324,112,5,5,5,9.08,1,1
191,324,111,5,4.5,4,9.16,1,1
192,323,110,5,4,5,8.98,1,1
193,322,114,5,4.5,4,8.94,1,1
194,336,118,5,4.5,5,9.53,1,1
195,316,109,3,3.5,3,8.76,0,1
196,307,107,2,3,3.5,8.52,1,1
197,306,105,2,3,2.5,8.26,0,0
198,310,106,2,3.5,2.5,8.33,0,1
199,311,104,3,4.5,4.5,8.43,0,1
200,313,107,3,4,4.5,8.69,0,1
201,317,103,3,2.5,3,8.54,1,1
202,315,110,2,3.5,3,8.46,1,0
203,340,120,5,4.5,4.5,9.91,1,1
204,334,120,5,4,5,9.87,1,1
205,298,105,3,3.5,4,8.54,0,1
206,295,99,2,2.5,3,7.65,0,0
207,315,99,2,3.5,3,7.89,0,0
208,310,102,3,3.5,4,8.02,1,1
209,305,106,2,3,3,8.16,0,1
210,301,104,3,3.5,4,8.12,1,1
211,325,108,4,4.5,4,9.06,1,1
212,328,110,4,5,4,9.14,1,1
213,338,120,4,5,5,9.66,1,1
214,333,119,5,5,4.5,9.78,1,1
215,331,117,4,4.5,5,9.42,1,1
216,330,116,5,5,4.5,9.36,1,1
217,322,112,4,4.5,4.5,9.26,1,1
218,321,109,4,4,4,9.13,1,1
219,324,110,4,3,3.5,8.97,1,1
220,312,104,3,3.5,3.5,8.42,0,1
221,313,103,3,4,4,8.75,0,1
222,316,110,3,3.5,4,8.56,0,1
223,324,113,4,4.5,4,8.79,0,1
224,308,109,2,3,4,8.45,0,1
225,305,105,2,3,2,8.23,0,1
226,296,99,2,2.5,2.5,8.03,0,1
227,306,110,2,3.5,4,8.45,0,1
228,312,110,2,3.5,3,8.53,0,1
229,318,112,3,4,3.5,8.67,0,1
230,324,111,4,3,3,9.01,1,1
231,313,104,3,4,4.5,8.65,0,1
232,319,106,3,3.5,2.5,8.33,1,1
233,312,107,2,2.5,3.5,8.27,0,1
234,304,100,2,2.5,3.5,8.07,0,0
235,330,113,5,5,4,9.31,1,1
236,326,111,5,4.5,4,9.23,1,1
237,325,112,4,4,4.5,9.17,1,1
238,329,114,5,4.5,5,9.19,1,1
239,310,104,3,2,3.5,8.37,0,1
240,299,100,1,1.5,2,7.89,0,0
241,296,101,1,2.5,3,7.68,0,0
242,317,103,2,2.5,2,8.15,0,1
243,324,115,3,3.5,3,8.76,1,1
244,325,114,3,3.5,3,9.04,1,1
245,314,107,2,2.5,4,8.56,0,1
246,328,110,4,4,2.5,9.02,1,1
247,316,105,3,3,3.5,8.73,0,1
248,311,104,2,2.5,3.5,8.48,0,1
249,324,110,3,3.5,4,8.87,1,1
250,321,111,3,3.5,4,8.83,1,1
251,320,104,3,3,2.5,8.57,1,1
252,316,99,2,2.5,3,9,0,1
253,318,100,2,2.5,3.5,8.54,1,1
254,335,115,4,4.5,4.5,9.68,1,1
255,321,114,4,4,5,9.12,0,1
256,307,110,4,4,4.5,8.37,0,1
257,309,99,3,4,4,8.56,0,1
258,324,100,3,4,5,8.64,1,1
259,326,102,4,5,5,8.76,1,1
260,331,119,4,5,4.5,9.34,1,1
261,327,108,5,5,3.5,9.13,1,1
262,312,104,3,3.5,4,8.09,0,1
263,308,103,2,2.5,4,8.36,1,1
264,324,111,3,2.5,1.5,8.79,1,1
265,325,110,2,3,2.5,8.76,1,1
266,313,102,3,2.5,2.5,8.68,0,0
267,312,105,2,2,2.5,8.45,0,1
268,314,107,3,3,3.5,8.17,1,1
269,327,113,4,4.5,5,9.14,0,1
270,308,108,4,4.5,5,8.34,0,1
271,306,105,2,2.5,3,8.22,1,1
272,299,96,2,1.5,2,7.86,0,0
273,294,95,1,1.5,1.5,7.64,0,0
274,312,99,1,1,1.5,8.01,1,0
275,315,100,1,2,2.5,7.95,0,0
276,322,110,3,3.5,3,8.96,1,1
277,329,113,5,5,4.5,9.45,1,1
278,320,101,2,2.5,3,8.62,0,1
279,308,103,2,3,3.5,8.49,0,0
280,304,102,2,3,4,8.73,0,1
281,311,102,3,4.5,4,8.64,1,1
282,317,110,3,4,4.5,9.11,1,1
283,312,106,3,4,3.5,8.79,1,1
284,321,111,3,2.5,3,8.9,1,1
285,340,112,4,5,4.5,9.66,1,1
286,331,116,5,4,4,9.26,1,1
287,336,118,5,4.5,4,9.19,1,1
288,324,114,5,5,4.5,9.08,1,1
289,314,104,4,5,5,9.02,0,1
290,313,109,3,4,3.5,9,0,1
291,307,105,2,2.5,3,7.65,0,0
292,300,102,2,1.5,2,7.87,0,0
293,302,99,2,1,2,7.97,0,0
294,312,98,1,3.5,3,8.18,1,0
295,316,101,2,2.5,2,8.32,1,1
296,317,100,2,3,2.5,8.57,0,0
297,310,107,3,3.5,3.5,8.67,0,0
298,320,120,3,4,4.5,9.11,0,1
299,330,114,3,4.5,4.5,9.24,1,1
Serial No.,GRE Score,TOEFL Score,University Rating,SOP,ML, CGPA,Research,Admission
1,337,118,4,4.5,4.5,9.65,1,1
2,324,107,4,4,4.5,8.87,1,1
3,316,104,3,3,3.5,8,1,1
4,322,110,3,3.5,2.5,8.67,1,1
5,314,103,2,2,3,8.21,0,1
6,330,115,5,4.5,3,9.34,1,1
7,321,109,3,3,4,8.2,1,1
8,308,101,2,3,4,7.9,0,1
9,302,102,1,2,1.5,8,0,0
10,323,108,3,3.5,3,8.6,0,0
11,325,106,3,3.5,4,8.4,1,0
12,327,111,4,4,4.5,9,1,1
13,328,112,4,4,4.5,9.1,1,1
14,307,109,3,4,3,8,1,1
15,311,104,3,3.5,2,8.2,1,1
16,314,105,3,3.5,2.5,8.3,0,0
17,317,107,3,4,3,8.7,0,0
18,319,106,3,4,3,8,1,1
19,318,110,3,4,3,8.8,0,1
20,303,102,3,3.5,3,8.5,0,1
21,312,107,3,3,2,7.9,1,1
22,325,114,4,3,2,8.4,0,1
23,328,116,5,5,5,9.5,1,1
24,334,119,5,5,4.5,9.7,1,1
25,336,119,5,4,3.5,9.8,1,1
26,340,120,5,4.5,4.5,9.6,1,1
27,322,109,5,4.5,3.5,8.8,0,1
28,298,98,2,1.5,2.5,7.5,1,0
29,295,93,1,2,2,7.2,0,0
30,310,99,2,1.5,2,7.3,0,0
31,300,97,2,3,3,8.1,1,1
32,327,103,3,4,4,8.3,1,1
33,338,118,4,3,4.5,9.4,1,1
34,340,114,5,4,4,9.6,1,1
35,331,112,5,4,5,9.8,1,1
36,320,110,5,5,5,9.2,1,1
37,299,106,2,4,4,8.4,0,1
38,300,105,1,1,2,7.8,0,0
39,304,105,1,3,1.5,7.5,0,0
40,307,108,2,4,3.5,7.7,0,0
41,308,110,3,3.5,3,8,1,0
42,316,105,2,2.5,2.5,8.2,1,0
43,313,107,2,2.5,2,8.5,1,1
44,332,117,4,4.5,4,9.1,0,1
45,326,113,5,4.5,4,9.4,1,1
46,322,110,5,5,4,9.1,1,1
47,329,114,5,4,5,9.3,1,1
48,339,119,5,4.5,4,9.7,0,1
49,321,110,3,3.5,5,8.85,1,1
50,327,111,4,3,4,8.4,1,1
51,313,98,3,2.5,4.5,8.3,1,1
52,312,100,2,1.5,3.5,7.9,1,1
53,334,116,4,4,3,8,1,1
54,324,112,4,4,2.5,8.1,1,1
55,322,110,3,3,3.5,8,0,1
56,320,103,3,3,3,7.7,0,1
57,316,102,3,2,3,7.4,0,1
58,298,99,2,4,2,7.6,0,1
59,300,99,1,3,2,6.8,1,0
60,311,104,2,2,2,8.3,0,0
61,309,100,2,3,3,8.1,0,1
62,307,101,3,4,3,8.2,0,0
63,304,105,2,3,3,8.2,1,1
64,315,107,2,4,3,8.5,1,1
65,325,111,3,3,3.5,8.7,0,0
66,325,112,4,3.5,3.5,8.92,0,1
67,327,114,3,3,3,9.02,0,1
68,316,107,2,3.5,3.5,8.64,1,1
69,318,109,3,3.5,4,9.22,1,1
70,328,115,4,4.5,4,9.16,1,1
71,332,118,5,5,5,9.64,1,1
72,336,112,5,5,5,9.76,1,1
73,321,111,5,5,5,9.45,1,1
74,314,108,4,4.5,4,9.04,1,1
75,314,106,3,3,5,8.9,0,1
76,329,114,2,2,4,8.56,1,1
77,327,112,3,3,3,8.72,1,1
78,301,99,2,3,2,8.22,0,1
79,296,95,2,3,2,7.54,1,0
80,294,93,1,1.5,2,7.36,0,0
81,312,105,3,2,3,8.02,1,0
82,340,120,4,5,5,9.5,1,1
83,320,110,5,5,4.5,9.22,1,1
84,322,115,5,4,4.5,9.36,1,1
85,340,115,5,4.5,4.5,9.45,1,1
86,319,103,4,4.5,3.5,8.66,0,0
87,315,106,3,4.5,3.5,8.42,0,1
88,317,107,2,3.5,3,8.28,0,1
89,314,108,3,4.5,3.5,8.14,0,1
90,316,109,4,4.5,3.5,8.76,1,1
91,318,106,2,4,4,7.92,1,1
92,299,97,3,5,3.5,7.66,0,0
93,298,98,2,4,3,8.03,0,0
94,301,97,2,3,3,7.88,1,0
95,303,99,3,2,2.5,7.66,0,0
96,304,100,4,1.5,2.5,7.84,0,0
97,306,100,2,3,3,8,0,0
98,331,120,3,4,4,8.96,1,1
99,332,119,4,5,4.5,9.24,1,1
100,323,113,3,4,4,8.88,1,1
101,322,107,3,3.5,3.5,8.46,1,0
102,312,105,2,2.5,3,8.12,0,1
103,314,106,2,4,3.5,8.25,0,1
104,317,104,2,4.5,4,8.47,0,1
105,326,112,3,3.5,3,9.05,1,1
106,316,110,3,4,4.5,8.78,1,1
107,329,111,4,4.5,4.5,9.18,1,1
108,338,117,4,3.5,4.5,9.46,1,1
109,331,116,5,5,5,9.38,1,1
110,304,103,5,5,4,8.64,0,1
111,305,108,5,3,3,8.48,0,0
112,321,109,4,4,4,8.68,1,1
113,301,107,3,3.5,3.5,8.34,1,1
114,320,110,2,4,3.5,8.56,0,1
115,311,105,3,3.5,3,8.45,1,1
116,310,106,4,4.5,4.5,9.04,1,1
117,299,102,3,4,3.5,8.62,0,0
118,290,104,4,2,2.5,7.46,0,0
119,296,99,2,3,3.5,7.28,0,0
120,327,104,5,3,3.5,8.84,1,1
121,335,117,5,5,5,9.56,1,1
122,334,119,5,4.5,4.5,9.48,1,1
123,310,106,4,1.5,2.5,8.36,0,0
124,308,108,3,3.5,3.5,8.22,0,1
125,301,106,4,2.5,3,8.47,0,1
126,300,100,3,2,3,8.66,1,1
127,323,113,3,4,3,9.32,1,1
128,319,112,3,2.5,2,8.71,1,1
129,326,112,3,3.5,3,9.1,1,1
130,333,118,5,5,5,9.35,1,1
131,339,114,5,4,4.5,9.76,1,1
132,303,105,5,5,4.5,8.65,0,1
133,309,105,5,3.5,3.5,8.56,0,1
134,323,112,5,4,4.5,8.78,0,1
135,333,113,5,4,4,9.28,1,1
136,314,109,4,3.5,4,8.77,1,1
137,312,103,3,5,4,8.45,0,1
138,316,100,2,1.5,3,8.16,1,1
139,326,116,2,4.5,3,9.08,1,1
140,318,109,1,3.5,3.5,9.12,0,1
141,329,110,2,4,3,9.15,1,1
142,332,118,2,4.5,3.5,9.36,1,1
143,331,115,5,4,3.5,9.44,1,1
144,340,120,4,4.5,4,9.92,1,1
145,325,112,2,3,3.5,8.96,1,1
146,320,113,2,2,2.5,8.64,1,1
147,315,105,3,2,2.5,8.48,0,1
148,326,114,3,3,3,9.11,1,1
149,339,116,4,4,3.5,9.8,1,1
150,311,106,2,3.5,3,8.26,1,1
151,334,114,4,4,4,9.43,1,1
152,332,116,5,5,5,9.28,1,1
153,321,112,5,5,5,9.06,1,1
154,324,105,3,3,4,8.75,0,1
155,326,108,3,3,3.5,8.89,0,0
156,312,109,3,3,3,8.69,0,1
157,315,105,3,2,2.5,8.34,0,0
158,309,104,2,2,2.5,8.26,0,1
159,306,106,2,2,2.5,8.14,0,1
160,297,100,1,1.5,2,7.9,0,0
161,315,103,1,1.5,2,7.86,0,0
162,298,99,1,1.5,3,7.46,0,0
163,318,109,3,3,3,8.5,0,1
164,317,105,3,3.5,3,8.56,0,1
165,329,111,4,4.5,4,9.01,1,1
166,322,110,5,4.5,4,8.97,0,1
167,302,102,3,3.5,5,8.33,0,1
168,313,102,3,2,3,8.27,0,1
169,293,97,2,2,4,7.8,1,1
170,311,99,2,2.5,3,7.98,0,1
171,312,101,2,2.5,3.5,8.04,1,1
172,334,117,5,4,4.5,9.07,1,1
173,322,110,4,4,5,9.13,1,1
174,323,113,4,4,4.5,9.23,1,1
175,321,111,4,4,4,8.97,1,1
176,320,111,4,4.5,3.5,8.87,1,1
177,329,119,4,4.5,4.5,9.16,1,1
178,319,110,3,3.5,3.5,9.04,0,1
179,309,108,3,2.5,3,8.12,0,1
180,307,102,3,3,3,8.27,0,1
181,300,104,3,3.5,3,8.16,0,1
182,305,107,2,2.5,2.5,8.42,0,1
183,299,100,2,3,3.5,7.88,0,1
184,314,110,3,4,4,8.8,0,1
185,316,106,2,2.5,4,8.32,0,1
186,327,113,4,4.5,4.5,9.11,1,1
187,317,107,3,3.5,3,8.68,1,1
188,335,118,5,4.5,3.5,9.44,1,1
189,331,115,5,4.5,3.5,9.36,1,1
190,324,112,5,5,5,9.08,1,1
191,324,111,5,4.5,4,9.16,1,1
192,323,110,5,4,5,8.98,1,1
193,322,114,5,4.5,4,8.94,1,1
194,336,118,5,4.5,5,9.53,1,1
195,316,109,3,3.5,3,8.76,0,1
196,307,107,2,3,3.5,8.52,1,1
197,306,105,2,3,2.5,8.26,0,0
198,310,106,2,3.5,2.5,8.33,0,1
199,311,104,3,4.5,4.5,8.43,0,1
200,313,107,3,4,4.5,8.69,0,1
201,317,103,3,2.5,3,8.54,1,1
202,315,110,2,3.5,3,8.46,1,0
203,340,120,5,4.5,4.5,9.91,1,1
204,334,120,5,4,5,9.87,1,1
205,298,105,3,3.5,4,8.54,0,1
206,295,99,2,2.5,3,7.65,0,0
207,315,99,2,3.5,3,7.89,0,0
208,310,102,3,3.5,4,8.02,1,1
209,305,106,2,3,3,8.16,0,1
210,301,104,3,3.5,4,8.12,1,1
211,325,108,4,4.5,4,9.06,1,1
212,328,110,4,5,4,9.14,1,1
213,338,120,4,5,5,9.66,1,1
214,333,119,5,5,4.5,9.78,1,1
215,331,117,4,4.5,5,9.42,1,1
216,330,116,5,5,4.5,9.36,1,1
217,322,112,4,4.5,4.5,9.26,1,1
218,321,109,4,4,4,9.13,1,1
219,324,110,4,3,3.5,8.97,1,1
220,312,104,3,3.5,3.5,8.42,0,1
221,313,103,3,4,4,8.75,0,1
222,316,110,3,3.5,4,8.56,0,1
223,324,113,4,4.5,4,8.79,0,1
224,308,109,2,3,4,8.45,0,1
225,305,105,2,3,2,8.23,0,1
226,296,99,2,2.5,2.5,8.03,0,1
227,306,110,2,3.5,4,8.45,0,1
228,312,110,2,3.5,3,8.53,0,1
229,318,112,3,4,3.5,8.67,0,1
230,324,111,4,3,3,9.01,1,1
231,313,104,3,4,4.5,8.65,0,1
232,319,106,3,3.5,2.5,8.33,1,1
233,312,107,2,2.5,3.5,8.27,0,1
234,304,100,2,2.5,3.5,8.07,0,0
235,330,113,5,5,4,9.31,1,1
236,326,111,5,4.5,4,9.23,1,1
237,325,112,4,4,4.5,9.17,1,1
238,329,114,5,4.5,5,9.19,1,1
239,310,104,3,2,3.5,8.37,0,1
240,299,100,1,1.5,2,7.89,0,0
241,296,101,1,2.5,3,7.68,0,0
242,317,103,2,2.5,2,8.15,0,1
243,324,115,3,3.5,3,8.76,1,1
244,325,114,3,3.5,3,9.04,1,1
245,314,107,2,2.5,4,8.56,0,1
246,328,110,4,4,2.5,9.02,1,1
247,316,105,3,3,3.5,8.73,0,1
248,311,104,2,2.5,3.5,8.48,0,1
249,324,110,3,3.5,4,8.87,1,1
250,321,111,3,3.5,4,8.83,1,1
251,320,104,3,3,2.5,8.57,1,1
252,316,99,2,2.5,3,9,0,1
253,318,100,2,2.5,3.5,8.54,1,1
254,335,115,4,4.5,4.5,9.68,1,1
255,321,114,4,4,5,9.12,0,1
256,307,110,4,4,4.5,8.37,0,1
257,309,99,3,4,4,8.56,0,1
258,324,100,3,4,5,8.64,1,1
259,326,102,4,5,5,8.76,1,1
260,331,119,4,5,4.5,9.34,1,1
261,327,108,5,5,3.5,9.13,1,1
262,312,104,3,3.5,4,8.09,0,1
263,308,103,2,2.5,4,8.36,1,1
264,324,111,3,2.5,1.5,8.79,1,1
265,325,110,2,3,2.5,8.76,1,1
266,313,102,3,2.5,2.5,8.68,0,0
267,312,105,2,2,2.5,8.45,0,1
268,314,107,3,3,3.5,8.17,1,1
269,327,113,4,4.5,5,9.14,0,1
270,308,108,4,4.5,5,8.34,0,1
271,306,105,2,2.5,3,8.22,1,1
272,299,96,2,1.5,2,7.86,0,0
273,294,95,1,1.5,1.5,7.64,0,0
274,312,99,1,1,1.5,8.01,1,0
275,315,100,1,2,2.5,7.95,0,0
276,322,110,3,3.5,3,8.96,1,1
277,329,113,5,5,4.5,9.45,1,1
278,320,101,2,2.5,3,8.62,0,1
279,308,103,2,3,3.5,8.49,0,0
280,304,102,2,3,4,8.73,0,1
281,311,102,3,4.5,4,8.64,1,1
282,317,110,3,4,4.5,9.11,1,1
283,312,106,3,4,3.5,8.79,1,1
284,321,111,3,2.5,3,8.9,1,1
285,340,112,4,5,4.5,9.66,1,1
286,331,116,5,4,4,9.26,1,1
287,336,118,5,4.5,4,9.19,1,1
288,324,114,5,5,4.5,9.08,1,1
289,314,104,4,5,5,9.02,0,1
290,313,109,3,4,3.5,9,0,1
291,307,105,2,2.5,3,7.65,0,0
292,300,102,2,1.5,2,7.87,0,0
293,302,99,2,1,2,7.97,0,0
294,312,98,1,3.5,3,8.18,1,0
295,316,101,2,2.5,2,8.32,1,1
296,317,100,2,3,2.5,8.57,0,0
297,310,107,3,3.5,3.5,8.67,0,0
298,320,120,3,4,4.5,9.11,0,1
299,330,114,3,4.5,4.5,9.24,1,1
300,305,112,3,3,3.5,8.65,0,0

0
ISEN/BDD/TP7/sourcesMongoDB.zip → ISEN/BDD/CIR2/TP7/sourcesMongoDB.zip
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2
ISEN/BDD/TP7/tp7.sql → ISEN/BDD/CIR2/TP7/tp7.sql
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@@ -1,2 +1,2 @@
SELECT * FROM profil WHERE gre_score >= 320 AND toefl_score >= 110 AND university_rating >= 3;
SELECT * FROM profil WHERE gre_score >= 320 AND toefl_score >= 110 AND university_rating >= 3;
SELECT COUNT(*) FROM profil WHERE gre_score >= 320 AND toefl_score >= 110 AND university_rating >= 3;

0
ISEN/BDD/Td1.pdf → ISEN/BDD/CIR2/Td1.pdf
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ISEN/BDD/Td2.pdf → ISEN/BDD/CIR2/Td2.pdf
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ISEN/BDD/Td3.pdf → ISEN/BDD/CIR2/Td3.pdf
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0
ISEN/BDD/coursBDD_part1.pdf → ISEN/BDD/CIR2/coursBDD_part1.pdf
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ISEN/BDD/coursBDD_part2.pdf → ISEN/BDD/CIR2/coursBDD_part2.pdf
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0
ISEN/BDD/coursBDD_part3.pdf → ISEN/BDD/CIR2/coursBDD_part3.pdf
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0
ISEN/BDD/coursBDD_part4.pdf → ISEN/BDD/CIR2/coursBDD_part4.pdf
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