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create_marts_clickhouse.py

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+import os
+from typing import List
+from pyspark.sql import SparkSession
+from pyspark.sql import functions as F
+from pyspark.sql import DataFrame
+
+spark = SparkSession.builder \
+    .appName("create_marts_clickhouse") \
+    .master("local[*]") \
+    .getOrCreate()
+
+def read_csv_folder(path: str) -> DataFrame:
+    return spark.read \
+        .option("header", "true") \
+        .option("inferSchema", "true") \
+        .csv(path)
+
+users = read_csv_folder("data/clickhouse/users")
+courses = read_csv_folder("data/clickhouse/courses")
+lessons = read_csv_folder("data/clickhouse/lessons")
+enrollments = read_csv_folder("data/clickhouse/enrollments")
+lesson_views = read_csv_folder("data/clickhouse/lesson_views")
+
+def cast_int_columns(df: DataFrame, int_cols: List[str]) -> DataFrame:
+    for c in int_cols:
+        if c in df.columns:
+            df = df.withColumn(c, F.col(c).cast("int"))
+    return df
+
+users = cast_int_columns(users, ["id"])
+courses = cast_int_columns(courses, ["id"])
+lessons = cast_int_columns(lessons, ["id", "course_id"])
+enrollments = cast_int_columns(enrollments, ["id", "user_id", "course_id"])
+lesson_views = cast_int_columns(lesson_views, ["id", "user_id", "lesson_id"])
+
+lesson_popularity_summary = lesson_views.alias("lv") \
+    .join(lessons.alias("l"), F.col("lv.lesson_id") == F.col("l.id")) \
+    .join(courses.alias("c"), F.col("l.course_id") == F.col("c.id")) \
+    .groupBy(F.col("l.id").alias("lesson_id"),
+             F.col("l.title").alias("lesson_title"),
+             F.col("c.id").alias("course_id"),
+             F.col("c.title").alias("course_title")) \
+    .agg(
+        F.count("lv.lesson_id").alias("total_views"),
+        F.countDistinct("lv.user_id").alias("unique_users"),
+        F.min("lv.viewed_at").alias("first_view"),
+        F.max("lv.viewed_at").alias("last_view")
+    ).orderBy("lesson_id")
+
+inactive_users_summary = users.alias("u") \
+    .join(enrollments.alias("e"), F.col("u.id") == F.col("e.user_id"), "left") \
+    .join(lesson_views.alias("lv"), F.col("u.id") == F.col("lv.user_id"), "left") \
+    .filter(F.col("lv.user_id").isNull()) \
+    .groupBy(F.col("u.id").alias("user_id"),
+             F.col("u.name").alias("user_name"),
+             F.col("u.email").alias("user_email"),
+             F.col("u.age").alias("user_age"),
+             F.col("u.registration_date").alias("user_registration_date")) \
+    .agg(
+        F.countDistinct("e.course_id").alias("enrollments_count")
+    ).orderBy("user_id")
+
+course_completion_rate = courses.alias("c") \
+    .join(enrollments.alias("e"), F.col("c.id") == F.col("e.course_id")) \
+    .join(users.alias("u"), F.col("e.user_id") == F.col("u.id")) \
+    .join(lessons.alias("l"), F.col("c.id") == F.col("l.course_id")) \
+    .join(lesson_views.alias("lv"),
+          (F.col("u.id") == F.col("lv.user_id")) &
+          (F.col("l.id") == F.col("lv.lesson_id")),
+          "left") \
+    .groupBy(F.col("u.id").alias("user_id"),
+             F.col("u.name").alias("user_name"),
+             F.col("c.id").alias("course_id"),
+             F.col("c.title").alias("course_title")) \
+    .agg(
+        F.countDistinct("l.id").alias("lessons_in_course"),
+        F.countDistinct("lv.lesson_id").alias("lessons_viewed"),
+        F.round(F.countDistinct("lv.lesson_id") * 1.0 / F.countDistinct("l.id"), 2).alias("completion_rate")
+    ).orderBy("user_id", "course_id")
+
+output_dir = "data/marts/clickhouse"
+os.makedirs(output_dir, exist_ok=True)
+
+lesson_popularity_summary.write.mode("overwrite").option("header", "true").csv(f"{output_dir}/lesson_popularity_summary")
+inactive_users_summary.write.mode("overwrite").option("header", "true").csv(f"{output_dir}/inactive_users_summary")
+course_completion_rate.write.mode("overwrite").option("header", "true").csv(f"{output_dir}/course_completion_rate")
+
+print(".............витрины clickhouse созданы")