Refactor: drop ability to configure BigQuery offline store export parquet file size

sdk/python/feast/infra/offline_stores/bigquery.py

@@ -20,7 +20,7 @@
 import pandas as pd
 import pyarrow
 import pyarrow.parquet
-from pydantic import ConstrainedStr, Field, StrictStr, validator
+from pydantic import ConstrainedStr, StrictStr, validator
 from pydantic.typing import Literal
 from tenacity import Retrying, retry_if_exception_type, stop_after_delay, wait_fixed
 
@@ -47,6 +47,7 @@
 from feast.repo_config import FeastConfigBaseModel, RepoConfig
 from feast.saved_dataset import SavedDatasetStorage
 from feast.usage import get_user_agent, log_exceptions_and_usage
+
 from .bigquery_source import (
     BigQueryLoggingDestination,
     BigQuerySource,
@@ -105,9 +106,6 @@ class BigQueryOfflineStoreConfig(FeastConfigBaseModel):
     gcs_staging_location: Optional[str] = None
     """ (optional) GCS location used for offloading BigQuery results as parquet files."""
 
-    gcs_staging_file_size_mb: Optional[int] = Field(None, ge=1, le=1000)
-    """ (optional) Specify the staging file size in Megabytes. If it is not set, the BigQuery export function will determine the export file size automatically."""
-
     table_create_disposition: Optional[BigQueryTableCreateDisposition] = None
     """ (optional) Specifies whether the job is allowed to create new tables. The default value is CREATE_IF_NEEDED."""
 
@@ -579,29 +577,19 @@ def to_remote_storage(self) -> List[str]:
 
         table = None
         try:
-            logger.info(f"Starting data export to '{self._gcs_path}'")
+            logger.info("Starting data export to '%s'", self._gcs_path)
             table = self.to_bigquery()
-            logger.info(f"Data exported to table '{table}'")
-
-            if self.config.offline_store.gcs_staging_file_size_mb is not None:
-                table_size_in_mb = self.client.get_table(table).num_bytes / 1024 / 1024
-                number_of_files = max(
-                    1,
-                    int(table_size_in_mb // self.config.offline_store.gcs_staging_file_size_mb),
-                )
-                destination_uris = [
-                    f"{self._gcs_path}/{n:0>12}.parquet" for n in range(number_of_files)
-                ]
-            else:
-                destination_uris = [f"{self._gcs_path}/*.parquet"]
+            logger.info("Data exported to table '%s'", table)
 
             job_config = bigquery.job.ExtractJobConfig()
             job_config.destination_format = "PARQUET"
 
-            logger.info(f"Starting data extraction from '{table}' to '{self._gcs_path}'")
+            logger.info(
+                "Starting data extraction from '%s' to '%s'", table, self._gcs_path
+            )
             extract_job = self.client.extract_table(
                 table,
-                destination_uris=destination_uris,
+                destination_uris=[f"{self._gcs_path}/*.parquet"],
                 location=self.config.offline_store.location,
                 job_config=job_config,
             )
@@ -610,10 +598,14 @@ def to_remote_storage(self) -> List[str]:
             bucket: str
             prefix: str
             if self.config.offline_store.billing_project_id:
-                storage_client = StorageClient(project=self.config.offline_store.project_id)
+                storage_client = StorageClient(
+                    project=self.config.offline_store.project_id
+                )
             else:
                 storage_client = StorageClient(project=self.client.project)
+            # fmt: off
             bucket, prefix = self._gcs_path[len("gs://"):].split("/", 1)
+            # fmt: on
             if prefix.startswith("/"):
                 prefix = prefix[1:]
 
@@ -622,11 +614,13 @@ def to_remote_storage(self) -> List[str]:
             for b in blobs:
                 results.append(f"gs://{b.bucket.name}/{b.name}")
 
-            logger.info(f"Data extraction completed. Extracted to {len(results)} files")
+            logger.info(
+                "Data extraction completed. Extracted to %s files", len(results)
+            )
             return results
         finally:
             if table:
-                logger.info(f"Cleanup: Deleting temporary table '{table}'")
+                logger.info("Cleanup: Deleting temporary table '%s'", table)
                 self.client.delete_table(table=table, not_found_ok=True)