diff --git a/src/main/Sessionization.py b/src/main/Sessionization.py
index 9e15005..a7112fb 100644
--- a/src/main/Sessionization.py
+++ b/src/main/Sessionization.py
@@ -1,7 +1,8 @@
 from pyspark.sql import SparkSession, DataFrame
 from pyspark.sql.window import Window
-from pyspark.sql.functions import col, unix_timestamp, lag, when, last, sha2, concat_ws, sum as spark_sum, min as spark_min
-from main.common_schemas import EVENT_SCHEMA
+from pyspark.sql.functions import col, unix_timestamp, lag, when, last, sha2, concat_ws, \
+    sum as spark_sum, min as spark_min, year, month, dayofmonth, hour
+from common_schemas import EVENT_SCHEMA
 
 
 def load_data(ss, path, schema) -> DataFrame:
@@ -24,7 +25,7 @@ def assign_session_id(df, SESSION_TIMEOUT) -> DataFrame:
         df.withColumn("prev_event_time", lag("event_time").over(window_spec))
         .withColumn("time_diff", unix_timestamp("event_time") - unix_timestamp("prev_event_time"))
         .withColumn("new_session", when(col("time_diff") > SESSION_TIMEOUT, 1).otherwise(0))
-        .withColumn("session_number",spark_sum("new_session").over(window_spec.rowsBetween(Window.unboundedPreceding, 0)),
+        .withColumn("session_number", spark_sum("new_session").over(window_spec.rowsBetween(Window.unboundedPreceding, 0)),
         )
     )
 
@@ -52,7 +53,6 @@ def assign_session_id(df, SESSION_TIMEOUT) -> DataFrame:
     return df
 
 
-
 def main():
     spark = SparkSession.builder \
         .master("local[*]") \
@@ -60,14 +60,30 @@ def main():
         .getOrCreate()
 
     schema = EVENT_SCHEMA
-    path = "/Users/doyeonpyun/Downloads/input_data/year=2019/month=10/day=10/hour=4/*.csv"
-    prev_path = "/Users/doyeonpyun/Downloads/input_data/year=2019/month=10/day=10/hour=5/*.csv"
+    path = "/Users/doyeonpyun/Downloads/input_data/year=2019/month=10/day=10/hour=13/*.csv"
+    prev_path = "/Users/doyeonpyun/Downloads/input_data/year=2019/month=10/day=10/hour=14/*.csv"
+    output_path = "/Users/doyeonpyun/Desktop/commercial_log"
     SESSION_TIMEOUT = 1800
 
+    # 데이터 로드 및 세션 ID 계산
     result_df = pre_processing_data(spark, path, prev_path, schema, SESSION_TIMEOUT)
     final_df = assign_session_id(result_df, SESSION_TIMEOUT)
-    final_df.select('event_time', 'user_id', 'prev_event_time', 'time_diff', 'session_id').show(truncate=False, n=1000)
 
+    # 파티션 컬럼 추가
+    final_df = (
+        final_df
+        .withColumn("year", year("event_time"))
+        .withColumn("month", month("event_time"))
+        .withColumn("day", dayofmonth("event_time"))
+        .withColumn("hour", hour("event_time"))
+    )
+
+    # 데이터 저장
+    final_df.write \
+        .mode("overwrite") \
+        .partitionBy("year", "month", "day", "hour") \
+        .option("header", "true") \
+        .csv(output_path)
 
 if __name__ == "__main__":
     main()