diff --git a/src/ptscrapper/storage.py b/src/ptscrapper/storage.py
index bfce5d7..879a24e 100644
--- a/src/ptscrapper/storage.py
+++ b/src/ptscrapper/storage.py
@@ -115,12 +115,11 @@ def compact_positions(date_to_compact: date) -> str:
     merge into one table, write a single daily file.
     Returns the path to that daily Parquet.
     """
-    # build glob pattern for that day
-    day_glob = os.path.join(
-        LOCAL_DATA_DIR, f"positions/{date_to_compact:%Y/%m/%d}/**/*.parquet"
-    )
-    # load dataset
-    dataset = ds.dataset(day_glob, format="parquet", partitioning="hive")
+    day_dir = os.path.join(LOCAL_DATA_DIR, f"positions/{date_to_compact:%Y/%m/%d}")
+    if not os.path.isdir(day_dir):
+        # nothing to compact
+        return ""
+    dataset = ds.dataset(day_dir, format="parquet", partitioning="hive")
     table = dataset.to_table()  # merges all batches
 
     # write one daily file
@@ -148,10 +147,10 @@ def compact_course_posts(date_to_compact: date) -> str:
     Read all shards under courses/YYYY-MM-DD/*.parquet,
     merge into one table, write a single daily file.
     """
-    pattern = os.path.join(
-        LOCAL_DATA_DIR, f"courses/{date_to_compact:%Y-%m-%d}/*.parquet"
-    )
-    dataset = ds.dataset(pattern, format="parquet")
+    day_dir = os.path.join(LOCAL_DATA_DIR, f"courses/{date_to_compact:%Y-%m-%d}")
+    if not os.path.isdir(day_dir):
+        return ""
+    dataset = ds.dataset(day_dir, format="parquet")
     table = dataset.to_table()
 
     out_dir = os.path.join(LOCAL_DATA_DIR, "courses_compacted")
@@ -215,10 +214,12 @@ def compact_course_geometry(date_to_compact: date) -> str:
     merge into one table, write a single daily file.
     Returns the path to that daily Parquet.
     """
-    pattern = os.path.join(
-        LOCAL_DATA_DIR, f"courses_geometry/{date_to_compact:%Y-%m-%d}/*.parquet"
+    day_dir = os.path.join(
+        LOCAL_DATA_DIR, f"courses_geometry/{date_to_compact:%Y-%m-%d}"
     )
-    dataset = ds.dataset(pattern, format="parquet")
+    if not os.path.isdir(day_dir):
+        return ""
+    dataset = ds.dataset(day_dir, format="parquet")
     table = dataset.to_table()
 
     out_dir = os.path.join(LOCAL_DATA_DIR, "courses_geometry_compacted")