Create simple storage writer

components/write_to_file/fondant_component.yaml

@@ -14,6 +14,8 @@ args:
     description: >- 
       Path to store the dataset, whether it's a local path or a cloud storage bucket, 
       must be specified. A separate filename will be generated for each partition.
+      If you are using the local runner and export the data to a local directory, 
+      ensure that you mount the path to the directory using the `--extra-volumes` argument.
     type: str
   format:
     description: Format for storing the dataframe can be either csv or parquet.

examples/sample_pipeline/pipeline.py

@@ -63,3 +63,5 @@ def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame:
     produces={"chunk_length": pa.int32()},
     arguments={"arg_x": "value_x"},
 )
+
+_.write(ref="write_to_file", arguments={"path": "./tmp"})