aws / aws/sagemaker-python-sdk

Clean temporary files after loading query to dataframe

Aperta
#5,100 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub
component: feature store type: bug
Lingua principale
Python
Stelle
2.3k
Fork
1.3k
Merge medio
1g 22h
PR unite (30g)
35

Descrizione

**Describe the bug**
Loading data from feature group using `as_dataframe()` doesn't clean temporary `.csv files`

**To reproduce**
After creating feature group and ingesting data, load athena query and then use `as_dataframe()` method

**Expected behavior**
This methods loads .csv query file and returns the data inside, but it doesn't clean the .csv file itself.
So after running multiple queries it's really easy to just fill your local disk space up to maximum, because of multiple .csv files with query results

**Screenshots or logs**
`

def as_dataframe(self, **kwargs) -> DataFrame:
"""Download the result of the current query and load it into a DataFrame.

Args:
**kwargs (object): key arguments used for the method pandas.read_csv to be able to
have a better tuning on data. For more info read:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html

Returns:
A pandas DataFrame contains the query result.
"""
query_state = self.get_query_execution().get("QueryExecution").get("Status").get("State")
if query_state != "SUCCEEDED":
if query_state in ("QUEUED", "RUNNING"):
raise RuntimeError(
f"Current query {self._current_query_execution_id} is still being executed."
)
raise RuntimeError(f"Failed to execute query {self._current_query_execution_id}")

output_filename = os.path.join(
tempfile.gettempdir(), f"{self._current_query_execution_id}.csv"
)
self.sagemaker_session.download_athena_query_result(
bucket=self._result_bucket,
prefix=self._result_file_prefix,
query_execution_id=self._current_query_execution_id,
filename=output_filename,
)

kwargs.pop("delimiter", None)
return pd.read_csv(filepath_or_buffer=output_filename, delimiter=",", **kwargs)

`

Guida per i contributori

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Direzione di ricerca

Start from the as_dataframe() entry point shown in the issue and trace the temporary CSV path through download_athena_query_result and pandas.read_csv. Verify that the query result still loads successfully and that the temporary CSV is removed after the method finishes.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
aws, pandas, python
Ambito
cloud, data
Tipo di issue
Bug
Difficoltà
2/5
Tempo stimato
1-3 ore
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
48/100

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