Ilias_Khugaev-w2-Databases

Week2/QA-session-content/package.json

@@ -9,6 +9,7 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
+    "epic_todolist": "file:",
     "faker": "^4.1.0",
     "knex": "^2.4.0",
     "mysql": "^2.18.1",

Week2/assignment/Aggregate-Functions.js

@@ -0,0 +1,16 @@
+import mysql from 'mysql2/promise';
+
+const connection = await mysql.createConnection({
+    host: 'localhost',
+    user: 'hyfuser',
+    password: 'hyfpassword'
+});
+
+
+export const aggreg = async() => {
+    connection.query("SELECT rp.paper_id,rp.paper_title, COUNT(ap.author_id) AS number_of_authors FROM   research_papers rp LEFT JOIN  author_papers ap ON rp.paper_id = ap.paper_id GROUP BY   rp.paper_id, rp.paper_title");
+    connection.query("SELECT COUNT(ap.paper_id) AS total_papers_by_female_authors FROM  authors a JOIN author_papers ap ON a.author_id = ap.author_id  a.gender = 'female';");
+    connection.query("SELECT AVG(h_index) AS avg_h_index FROM authors GROUP BY university");
+    connection.query("SELECT a.university, COUNT(ap.paper_id) AS total_papers FROM authors a JOIN author_papers ap ON a.author_id = ap.author_id GROUP BY a.university");
+    connection.query("SELECT university, MIN(h_index), MAX(h_index) FROM authors GROUP BY university");
+};

Week2/assignment/Joins.js

@@ -0,0 +1,12 @@
+import mysql from 'mysql2/promise';
+
+const connection = await mysql.createConnection({
+    host: 'localhost',
+    user: 'hyfuser',
+    password: 'hyfpassword'
+});
+
+export const joins = async() => {
+    connection.query("SELECT author_name, mentor FROM authors");
+    connection.query("SELECT authors.author_name,  research_papers.paper_title FROM authors LEFT JOIN author_papers ON authors.author_id =  author_papers. author_id LEFT JOIN research_papers ON research_papers.paper_id = author_papers.paper_id");
+};

Week2/assignment/Keys.js

@@ -0,0 +1,65 @@
+import mysql from 'mysql2/promise';
+import {relationships} from "./Relationships.js";
+import {aggreg} from "./Aggregate-Functions.js";
+
+const connection = await mysql.createConnection({
+    host: 'localhost',
+    user: 'hyfuser',
+    password: 'hyfpassword',
+    database: 'week2'
+});
+
+try {
+    await connection.query('DROP DATABASE IF EXISTS week2');
+    await connection.query('CREATE DATABASE IF NOT EXISTS week2');
+    await connection.query('USE week2');
+
+    await connection.query(
+        `CREATE TABLE IF NOT EXISTS authors (
+            author_id INT AUTO_INCREMENT PRIMARY KEY,
+            author_name VARCHAR(50) NOT NULL,
+            university VARCHAR(50),
+            date_of_birth DATE NOT NULL,
+            h_index INT NOT NULL,
+            mentor INT,
+            gender ENUM('male', 'female', 'other'),
+            FOREIGN KEY (mentor) REFERENCES authors(author_id)
+        )`
+    );
+
+    await connection.query(
+        `CREATE TABLE IF NOT EXISTS research_papers (
+            paper_id INT AUTO_INCREMENT PRIMARY KEY,
+            paper_title VARCHAR(100) NOT NULL,
+            conference TEXT
+        )`
+    );
+
+    await connection.query(
+        `CREATE TABLE IF NOT EXISTS author_papers (
+            author_id INT,
+            paper_id INT,
+            PRIMARY KEY (author_id, paper_id),
+            FOREIGN KEY (author_id) REFERENCES authors(author_id),
+            FOREIGN KEY (paper_id) REFERENCES research_papers(paper_id)
+        )`
+    );
+
+    relationships();
+    console.log('Tables created successfully!');
+} catch (error) {
+    console.error('Error creating tables:', error);
+} finally {
+    await connection.end();
+}
+
+
+
+
+
+
+
+
+
+
+

Week2/assignment/Relationships.js

@@ -0,0 +1,99 @@
+import mysql from 'mysql2/promise';
+
+const connection = await mysql.createConnection({
+    host: 'localhost',
+    user: 'hyfuser',
+    password: 'hyfpassword',
+    database: 'week2'
+});
+
+export const relationships = async () => {
+    try {
+        await connection.query('USE week2');
+        await connection.query(`
+      INSERT INTO authors (author_name, university, date_of_birth, h_index, gender) VALUES
+      ('Alice Smith', 'MIT', '1980-05-14', 32, 'female'),
+      ('Bob Johnson', 'Stanford', '1975-03-22', 40, 'male'),
+      ('Carol White', 'Harvard', '1982-07-11', 28, 'female'),
+      ('David Brown', 'Cambridge', '1990-01-09', 18, 'male'),
+      ('Eve Davis', 'Oxford', '1987-11-29', 35, 'female'),
+      ('Frank Miller', 'ETH Zurich', '1978-08-30', 30, 'male'),
+      ('Grace Wilson', 'Caltech', '1985-09-20', 25, 'female'),
+      ('Henry Moore', 'Princeton', '1991-04-17', 22, 'male'),
+      ('Ivy Taylor', 'Yale', '1983-02-13', 27, 'female'),
+      ('Jack Anderson', 'Columbia', '1986-06-06', 29, 'male'),
+      ('Karen Thomas', 'UCLA', '1979-12-19', 31, 'female'),
+      ('Leo Jackson', 'Toronto', '1988-10-23', 19, 'male'),
+      ('Mona Lewis', 'TUM', '1993-03-03', 21, 'female'),
+      ('Nina Harris', 'Sorbonne', '1990-09-09', 24, 'female'),
+      ('Oscar Martin', 'EPFL', '1984-04-04', 33, 'male');
+    `);
+
+        await connection.query(`
+      INSERT INTO research_papers (paper_title, conference) VALUES
+      ('Quantum AI', 'NeurIPS'),
+      ('Deep Learning Optimization', 'ICML'),
+      ('Neural Graphs', 'CVPR'),
+      ('Bioinformatics Trends', 'RECOMB'),
+      ('Genetic Algorithms', 'GECCO'),
+      ('Quantum Circuits', 'QIP'),
+      ('AI in Medicine', 'MedConf'),
+      ('Secure ML', 'IEEE S&P'),
+      ('Blockchain Systems', 'CryptoCon'),
+      ('Data Visualization', 'VIS'),
+      ('NLP Advancements', 'ACL'),
+      ('Ethics of AI', 'AAAI'),
+      ('Robotics Control', 'ICRA'),
+      ('Swarm Intelligence', 'ANTS'),
+      ('3D Vision', 'SIGGRAPH'),
+      ('Cloud Security', 'USENIX'),
+      ('Edge Computing', 'EdgeConf'),
+      ('IoT Protocols', 'IoTConf'),
+      ('Image Compression', 'ICIP'),
+      ('Virtual Reality', 'VRConf'),
+      ('BioNLP', 'EMNLP'),
+      ('AI+Law', 'LAWConf'),
+      ('Graph Theory AI', 'NeurIPS'),
+      ('Medical Robotics', 'MedConf'),
+      ('AI for Education', 'EDM'),
+      ('Data Ethics', 'FAT*'),
+      ('ML at Scale', 'BigDataConf'),
+      ('Vision & Language', 'CVPR'),
+      ('Quantum ML', 'QMLConf'),
+      ('Adversarial Attacks', 'BlackHat');
+    `);
+
+        await connection.query(`
+      INSERT INTO author_papers (author_id, paper_id) VALUES
+          (6, 8),
+          (6, 9),
+          (7, 10),
+          (8, 11),
+          (9, 12),
+          (10, 13),
+          (10, 14),
+          (11, 15),
+          (12, 16),
+          (12, 17),
+          (13, 18),
+          (14, 19),
+          (14, 20),
+          (15, 21),
+          (15, 22),
+          (5, 23),
+          (7, 24),
+          (8, 25),
+          (9, 26),
+          (11, 27),
+          (13, 28),
+          (2, 29),
+          (4, 30);
+    `);
+
+        console.log('Data inserted successfully!');
+    } catch (err) {
+        console.error('Error inserting data:', err);
+    } finally {
+        await connection.end();
+    }
+};

Week2/assignment/package.json

@@ -0,0 +1,16 @@
+{
+    "name": "assignment",
+    "version": "1.0.0",
+    "main": "authors.js",
+    "type": "module",
+    "scripts": {
+        "test": "echo \"Error: no test specified\" && exit 1"
+    },
+    "author": "",
+    "license": "ISC",
+    "description": "",
+    "dependencies": {
+        "assignment": "file:",
+        "mysql2": "^3.14.1"
+    }
+}