Course project

HomeWork_Lesson-10.sql

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+-- Провести аналитику в разрезе групп.
+
+-- Построить запрос, который будет выводить следующие столбцы:
+
+-- имя группы
+-- среднее количество пользователей в группах
+-- самый молодой пользователь в группе
+-- самый пожилой пользователь в группе
+-- количество пользователей в группе
+-- всего пользователей в системе
+-- отношение в процентах (количество пользователей в группе / всего пользователей в системе) * 100
+
+SELECT DISTINCT 
+  communities.name AS group_name,
+  COUNT(communities_users.user_id) OVER() 
+    / (SELECT COUNT(*) FROM communities) AS avg_users_in_groups,
+  FIRST_VALUE(users.id) 
+    OVER(PARTITION BY communities.id ORDER BY profiles.birthday DESC) AS youngest,
+  FIRST_VALUE(users.id) 
+    OVER(PARTITION BY communities.id ORDER BY profiles.birthday) AS oldest,
+  COUNT(communities_users.user_id) 
+    OVER(PARTITION BY communities.id) AS users_in_groups,
+  COUNT(users.id) OVER() AS users_total,
+  COUNT(communities_users.user_id) OVER(PARTITION BY communities.id) 
+    / COUNT(users.id) OVER() *100 AS '%%'
+    FROM communities
+      JOIN communities_users 
+        ON communities_users.community_id = communities.id
+      JOIN users 
+        ON communities_users.user_id = users.id
+      JOIN profiles 
+        ON profiles.user_id = users.id;
+
+SELECT DISTINCT 
+  communities.name AS group_name,
+  COUNT(communities_users.user_id) OVER() 
+    / (SELECT COUNT(*) FROM communities) AS avg_users_in_groups,
+  FIRST_VALUE(users.first_name) 
+    OVER(PARTITION BY communities.id ORDER BY profiles.birthday DESC) AS youngest_first_name,
+  FIRST_VALUE(users.last_name) 
+    OVER(PARTITION BY communities.id ORDER BY profiles.birthday DESC) AS youngest_last_name,
+  FIRST_VALUE(users.first_name) 
+    OVER(PARTITION BY communities.id ORDER BY profiles.birthday) AS oldest_first_name,
+  FIRST_VALUE(users.last_name) 
+    OVER(PARTITION BY communities.id ORDER BY profiles.birthday) AS oldest_last_name,
+  COUNT(communities_users.user_id) 
+    OVER(PARTITION BY communities.id) AS users_in_groups,
+  COUNT(users.id) OVER() AS users_total,
+  COUNT(communities_users.user_id) OVER(PARTITION BY communities.id) 
+    / COUNT(users.id) OVER() *100 AS '%%'
+    FROM communities
+      JOIN communities_users 
+        ON communities_users.community_id = communities.id
+      JOIN users 
+        ON communities_users.user_id = users.id
+      JOIN profiles 
+        ON profiles.user_id = users.id;        
+
+SELECT DISTINCT 
+  communities.name AS group_name,
+  COUNT(communities_users.user_id) OVER() 
+    / (SELECT COUNT(*) FROM communities) AS avg_users_in_groups,
+  FIRST_VALUE(users.first_name) 
+    OVER birthday_desc AS youngest_first_name,
+  FIRST_VALUE(users.last_name) 
+    OVER birthday_desc AS youngest_last_name,
+  FIRST_VALUE(users.first_name) 
+    OVER birthday_asc AS oldest_first_name,
+  FIRST_VALUE(users.last_name) 
+    OVER birthday_asc AS oldest_last_name,
+  COUNT(communities_users.user_id) 
+    OVER(PARTITION BY communities.id) AS users_in_groups,
+  COUNT(users.id) OVER() AS users_total,
+  COUNT(communities_users.user_id) OVER(PARTITION BY communities.id) 
+    / COUNT(users.id) OVER() *100 AS '%%'
+    FROM communities
+      JOIN communities_users 
+        ON communities_users.community_id = communities.id
+      JOIN users 
+        ON communities_users.user_id = users.id
+      JOIN profiles 
+        ON profiles.user_id = users.id
+      WINDOW birthday_desc AS (PARTITION BY communities.id ORDER BY profiles.birthday DESC),
+             birthday_asc AS (PARTITION BY communities.id ORDER BY profiles.birthday);
+
+
+SELECT 
+  ROW_NUMBER() OVER w AS 'row_number',
+  from_user_id, 
+  created_at, 
+  LEAD(created_at)  OVER w AS 'LEAD',
+  LAG(created_at)  OVER w AS 'LAG'
+    FROM messages
+      WINDOW w AS (PARTITION BY (from_user_id) ORDER BY created_at); 
+
+SELECT 
+  ROW_NUMBER() OVER w AS 'row_number',
+  from_user_id, 
+  created_at, 
+  LAG(created_at)  OVER w AS 'LAG',
+  TIMESTAMPDIFF(SECOND, LAG(created_at)  OVER w, created_at) AS difference
+    FROM messages
+      WINDOW w AS (PARTITION BY (from_user_id) ORDER BY created_at); 

Lesson-11.sql

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+-- Создайте таблицу logs типа Archive. Пусть при каждом создании записи в таблицах users,
+-- catalogs и products в таблицу logs помещается время и дата создания записи, название
+-- таблицы, идентификатор первичного ключа и содержимое поля name.
+
+CREATE TABLE Logs (
+    id INT UNSIGNED NOT NULL AUTO_INCREMENT PRIMARY KEY,
+    created_at datetime DEFAULT CURRENT_TIMESTAMP,
+    table_name varchar(50) NOT NULL,
+    row_id INT UNSIGNED NOT NULL,
+    row_name varchar(255)
+) ENGINE = Archive;
+
+DELIMITER //
+
+CREATE TRIGGER products_insert AFTER INSERT ON products
+FOR EACH ROW
+BEGIN
+    INSERT INTO Logs VALUES (NULL, DEFAULT, "products", NEW.id, NEW.name);
+END//
+
+CREATE TRIGGER users_insert AFTER INSERT ON users
+FOR EACH ROW
+BEGIN
+    INSERT INTO Logs VALUES (NULL, DEFAULT, "users", NEW.id, NEW.first_name);
+END//
+
+CREATE TRIGGER catalogs_insert AFTER INSERT ON catalogs
+FOR EACH ROW
+BEGIN
+    INSERT INTO Logs VALUES (NULL, DEFAULT, "catalogs", NEW.id, NEW.name);
+END//
+
+DELIMITER ;
+
+
+
+-- В базе данных Redis подберите коллекцию для подсчета посещений с определенных IP-адресов.
+
+HINCRBY addresses '127.0.0.1' 1
+HGETALL addresses
+
+HINCRBY addresses '127.0.0.2' 1
+HGETALL addresses
+
+HGET addresses '127.0.0.1'
+
+
+
+
+-- Организуйте хранение категорий и товарных позиций учебной базы данных shop в СУБД MongoDB.
+
+
+show dbs
+
+use shop
+
+db.createCollection('catalogs')
+db.createCollection('products')
+
+db.catalogs.insert({name: 'Процессоры'})
+db.catalogs.insert({name: 'Мат.платы'})
+db.catalogs.insert({name: 'Видеокарты'})
+
+db.products.insert(
+  {
+    name: 'Intel Core i3-8100',
+    description: 'Процессор для настольных персональных компьютеров, основанных на платформе Intel.',
+    price: 7890.00,
+    catalog_id: new ObjectId("5b56c73f88f700498cbdc56b")
+  }
+);
+
+db.products.insert(
+  {
+    name: 'Intel Core i5-7400',
+    description: 'Процессор для настольных персональных компьютеров, основанных на платформе Intel.',
+    price: 12700.00,
+    catalog_id: new ObjectId("5b56c73f88f700498cbdc56b")
+  }
+);
+
+db.products.insert(
+  {
+    name: 'ASUS ROG MAXIMUS X HERO',
+    description: 'Материнская плата ASUS ROG MAXIMUS X HERO, Z370, Socket 1151-V2, DDR4, ATX',
+    price: 19310.00,
+    catalog_id: new ObjectId("5b56c74788f700498cbdc56c")
+  }
+);
+
+db.products.find()
+
+db.products.find({catalog_id: ObjectId("5b56c73f88f700498cbdc56bdb")})