diff --git a/weather_mv/README.md b/weather_mv/README.md
index 74513f16..4fa3d9c3 100644
--- a/weather_mv/README.md
+++ b/weather_mv/README.md
@@ -205,7 +205,7 @@ weather-mv bq --uris "gs://your-bucket/*.grib" \
            --output_table $PROJECT.$DATASET_ID.$TABLE_ID \
            --xarray_open_dataset_kwargs '{"engine": "cfgrib", "indexpath": "", "backend_kwargs": {"filter_by_keys": {"typeOfLevel": "surface", "edition": 1}}}' \
            --temp_location "gs://$BUCKET/tmp" \
-           --input_chunks '{ "time": 1 }'
+           --input_chunks '{ "time": 1 }' \
            --direct_num_workers 2
 ```
 
diff --git a/weather_mv/loader_pipeline/bq.py b/weather_mv/loader_pipeline/bq.py
index 6495a262..3643327c 100644
--- a/weather_mv/loader_pipeline/bq.py
+++ b/weather_mv/loader_pipeline/bq.py
@@ -327,7 +327,7 @@ def df_to_rows(self, rows: pd.DataFrame, ds: xr.Dataset, uri: str) -> t.Iterator
             yield row
 
     def chunks_to_rows(self, _, ds: xr.Dataset) -> t.Iterator[t.Dict]:
-        logger.info(f"Processing for time: {ds['time'].values} and level: {ds['level'].values}")
+        logger.info(f"Processing for time: {ds['time'].values}")
         uri = ds.attrs.get(DATA_URI_COLUMN, '')
         # Re-calculate import time for streaming extractions.
         if not self.import_time or self.zarr:
diff --git a/weather_mv/loader_pipeline/bq_test.py b/weather_mv/loader_pipeline/bq_test.py
index fae7ab31..d64b1a67 100644
--- a/weather_mv/loader_pipeline/bq_test.py
+++ b/weather_mv/loader_pipeline/bq_test.py
@@ -205,7 +205,7 @@ class ExtractRowsTestBase(TestDataBase):
     def extract(self, data_path, *, variables=None, area=None, open_dataset_kwargs=None,
                 import_time=DEFAULT_IMPORT_TIME, disable_grib_schema_normalization=False,
                 tif_metadata_for_start_time=None, tif_metadata_for_end_time=None, zarr: bool = False, zarr_kwargs=None,
-                skip_creating_polygon: bool = False) -> t.Iterator[t.Dict]:
+                skip_creating_polygon: bool = False, input_chunks={ 'time': 1}) -> t.Iterator[t.Dict]:
         if zarr_kwargs is None:
             zarr_kwargs = {}
         op = ToBigQuery.from_kwargs(
@@ -215,7 +215,7 @@ def extract(self, data_path, *, variables=None, area=None, open_dataset_kwargs=N
             tif_metadata_for_start_time=tif_metadata_for_start_time,
             tif_metadata_for_end_time=tif_metadata_for_end_time, skip_region_validation=True,
             disable_grib_schema_normalization=disable_grib_schema_normalization, coordinate_chunk_size=1000,
-            skip_creating_polygon=skip_creating_polygon)
+            skip_creating_polygon=skip_creating_polygon, input_chunks=input_chunks)
         coords = op.prepare_coordinates(data_path)
         for uri, chunk in coords:
             yield from op.extract_rows(uri, chunk)
@@ -792,6 +792,7 @@ def test_extracts_rows(self):
             variables=list(), area=list(), xarray_open_dataset_kwargs=dict(), import_time=None, infer_schema=False,
             tif_metadata_for_start_time=None, tif_metadata_for_end_time=None, skip_region_validation=True,
             disable_grib_schema_normalization=False,
+            input_chunks={'time': 1}
         )
 
         with TestPipeline() as p:
diff --git a/weather_mv/loader_pipeline/pipeline_test.py b/weather_mv/loader_pipeline/pipeline_test.py
index 3834b537..8340a923 100644
--- a/weather_mv/loader_pipeline/pipeline_test.py
+++ b/weather_mv/loader_pipeline/pipeline_test.py
@@ -69,6 +69,7 @@ def setUp(self) -> None:
             'log_level': 2,
             'use_local_code': False,
             'skip_creating_polygon': False,
+            'input_chunks': { 'time': 1 }
         }