Комментарии написаны, таблицы приведены в порядок

bhabibullin/clickhouse/clickhouse_pet.sql

@@ -87,6 +87,7 @@ ORDER BY (lesson_id, course_id);
  */
 
 CREATE TABLE bhabibullin.lesson_popularity_summary
+ON CLUSTER clickhouse_cluster
 (
     lesson_id     UInt32,
     lesson_title  String,
@@ -97,10 +98,14 @@ CREATE TABLE bhabibullin.lesson_popularity_summary
     first_view    DateTime64(3, 'UTC'),
     last_view     DateTime64(3, 'UTC')
 )
-ENGINE = MergeTree
+ENGINE = ReplicatedMergeTree(
+	'/clickhouse/tables/{shard}/bhabibullin/lesson_popularity_summary',
+	'{replica}'
+)
 ORDER BY (lesson_id, course_id);
 
 CREATE MATERIALIZED VIEW mv_lesson_popularity_summary
+ON CLUSTER clickhouse_cluster
 TO bhabibullin.lesson_popularity_summary
 AS
 SELECT
@@ -140,8 +145,9 @@ GROUP BY
     flv.course_id,
     c.title;
 
-select * from bhabibullin.mv_lesson_popularity_summary mlps ;
-select * from bhabibullin.lesson_popularity_summary lps ;
+select * from bhabibullin.mv_lesson_popularity_summary ;
+select * from bhabibullin.lesson_popularity_summary ;
+show tables;
 
 /*
  ### ✅ **Задание 3: Создай витрину `inactive_users_summary`**
@@ -161,7 +167,13 @@ select * from bhabibullin.lesson_popularity_summary lps ;
 Эта витрина может использоваться для продуктовой аналитики, триггерных рассылок (например, напоминаний), анализа оттока, повышения вовлечённости.
  */ 
 
-CREATE TABLE bhabibullin.inactive_users_summary(
+DROP TABLE bhabibullin.inactive_users_summary;
+DROP VIEW bhabibullin.mv_inactive_users_summary ;
+show tables;
+
+CREATE TABLE bhabibullin.inactive_users_summary
+ON CLUSTER clickhouse_cluster
+(
 	user_id  		  UInt32,
 	name		      String,
 	email 		      String,
@@ -169,10 +181,14 @@ CREATE TABLE bhabibullin.inactive_users_summary(
 	enrollment_count  UInt32,
 	registration_date Date
 )
-ENGINE = MergeTree()
+ENGINE = ReplicatedMergeTree(
+	'/clickhouse/tables/{shard}/bhabibullin/inactive_users_summary',
+	'{replica}'
+)
 ORDER BY user_id;
 
 CREATE MATERIALIZED VIEW bhabibullin.mv_inactive_users_summary 
+ON CLUSTER clickhouse_cluster
 to bhabibullin.inactive_users_summary 
 AS
 SELECT  
@@ -204,6 +220,9 @@ WHERE (cdu.user_id, 1) NOT IN (
     GROUP BY user_id
 );
 
+select * from bhabibullin.inactive_users_summary ius ;
+select * from bhabibullin.mv_inactive_users_summary mius ;
+
 /*
  ### ✅ **Задание 4: Создай витрину `course_completion_rate`**
 
@@ -218,8 +237,8 @@ WHERE (cdu.user_id, 1) NOT IN (
     - Коэффициент завершения (`lessons_viewed / lessons_in_course`)
  */
 
-
 CREATE TABLE IF NOT EXISTS bhabibullin.course_completion_rate
+ON CLUSTER clickhouse_cluster
 (
     user_id         UInt32,
     user_name       String,
@@ -229,11 +248,15 @@ CREATE TABLE IF NOT EXISTS bhabibullin.course_completion_rate
     lessons_viewed  UInt32,
     completion_rate Float64
 )
-ENGINE = MergeTree()
+ENGINE = ReplicatedMergeTree(
+	'/clickhouse/tables/{shard}/bhabibullin/course_completion_rate',
+	'{replica}'
+)
 ORDER BY (user_id, course_id);
 
 
 CREATE MATERIALIZED VIEW IF NOT EXISTS bhabibullin.mv_course_completion_rate
+ON CLUSTER clickhouse_cluster
 TO bhabibullin.course_completion_rate
 AS
 WITH lessons_in_course AS (
@@ -312,6 +335,9 @@ JOIN core_dim_course c ON e.course_id = c.course_id
 JOIN lessons_in_course AS lic ON c.course_id = lic.course_id
 LEFT JOIN views_user_course AS vuc ON vuc.user_id   = u.user_id AND vuc.course_id = c.course_id;
 
+select * from bhabibullin.course_completion_rate;
+select * from bhabibullin.mv_course_completion_rate;
+
 /*
  # 📊 Этап 3. Анализ и запросы
 
@@ -333,9 +359,9 @@ LIMIT 5;
 SELECT 
     name,
     email,
-    registered_courses_count
+    enrollment_count
 FROM inactive_users_summary
-WHERE registered_courses_count > 0
+WHERE enrollment_count > 0
 ORDER BY registration_date DESC;
 
 --Курсы с самым высоким процентом завершения
@@ -350,10 +376,9 @@ LIMIT 5;
 -- топ 5 курсов по количеству уникальных пользователей
 SELECT
     course_title,
-    uniqExact(user_id) AS active_users
+    unique_users
 FROM lesson_popularity_summary
-GROUP BY course_title
-ORDER BY active_users DESC
+ORDER BY unique_users DESC
 LIMIT 5;
 
 --новые пользователи за прошлый месяц 
@@ -368,7 +393,7 @@ ORDER BY registration_date DESC;
 
 /*
  ### ✅ **Задание 6: Сравни данные с Greenplum**
-
+  
 1. Выбери 2–3 значения из таблиц `_summary_source` в Greenplum
 2. Сравни с ClickHouse-результатами:
     - Совпадает ли `SUM`, `AVG`, `MIN`, `MAX`
@@ -382,4 +407,3 @@ ORDER BY registration_date DESC;
 С этим даже траблы были при пет проекте, кликхаус тяжело обрабатывает нулл значения
 */
 
-