feat: Adding billing_project_id in BigQueryOfflineStoreConfig (feast-…

…dev#3253)

* adding_billing_project_in_config

Signed-off-by: “Varun <varun.mallya@tech.jago.com>

* Fix lint

Signed-off-by: Danny Chiao <danny@tecton.ai>

Signed-off-by: “Varun <varun.mallya@tech.jago.com>
Signed-off-by: Danny Chiao <danny@tecton.ai>
Co-authored-by: Danny Chiao <danny@tecton.ai>

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

@@ -19,7 +19,7 @@
 import pandas as pd
 import pyarrow
 import pyarrow.parquet
-from pydantic import StrictStr
+from pydantic import StrictStr, validator
 from pydantic.typing import Literal
 from tenacity import Retrying, retry_if_exception_type, stop_after_delay, wait_fixed
 
@@ -83,7 +83,8 @@ class BigQueryOfflineStoreConfig(FeastConfigBaseModel):
 
     project_id: Optional[StrictStr] = None
     """ (optional) GCP project name used for the BigQuery offline store """
-
+    billing_project_id: Optional[StrictStr] = None
+    """ (optional) GCP project name used to run the bigquery jobs at """
     location: Optional[StrictStr] = None
     """ (optional) GCP location name used for the BigQuery offline store.
     Examples of location names include ``US``, ``EU``, ``us-central1``, ``us-west4``.
@@ -94,6 +95,14 @@ class BigQueryOfflineStoreConfig(FeastConfigBaseModel):
     gcs_staging_location: Optional[str] = None
     """ (optional) GCS location used for offloading BigQuery results as parquet files."""
 
+    @validator("billing_project_id")
+    def project_id_exists(cls, v, values, **kwargs):
+        if v and not values["project_id"]:
+            raise ValueError(
+                "please specify project_id if billing_project_id is specified"
+            )
+        return v
+
 
 class BigQueryOfflineStore(OfflineStore):
     @staticmethod
@@ -122,9 +131,11 @@ def pull_latest_from_table_or_query(
             timestamps.append(created_timestamp_column)
         timestamp_desc_string = " DESC, ".join(timestamps) + " DESC"
         field_string = ", ".join(join_key_columns + feature_name_columns + timestamps)
-
+        project_id = (
+            config.offline_store.billing_project_id or config.offline_store.project_id
+        )
         client = _get_bigquery_client(
-            project=config.offline_store.project_id,
+            project=project_id,
             location=config.offline_store.location,
         )
         query = f"""
@@ -162,9 +173,11 @@ def pull_all_from_table_or_query(
         assert isinstance(config.offline_store, BigQueryOfflineStoreConfig)
         assert isinstance(data_source, BigQuerySource)
         from_expression = data_source.get_table_query_string()
-
+        project_id = (
+            config.offline_store.billing_project_id or config.offline_store.project_id
+        )
         client = _get_bigquery_client(
-            project=config.offline_store.project_id,
+            project=project_id,
             location=config.offline_store.location,
         )
         field_string = ", ".join(
@@ -197,17 +210,22 @@ def get_historical_features(
         assert isinstance(config.offline_store, BigQueryOfflineStoreConfig)
         for fv in feature_views:
             assert isinstance(fv.batch_source, BigQuerySource)
-
+        project_id = (
+            config.offline_store.billing_project_id or config.offline_store.project_id
+        )
         client = _get_bigquery_client(
-            project=config.offline_store.project_id,
+            project=project_id,
             location=config.offline_store.location,
         )
 
         assert isinstance(config.offline_store, BigQueryOfflineStoreConfig)
-
+        if config.offline_store.billing_project_id:
+            dataset_project = str(config.offline_store.project_id)
+        else:
+            dataset_project = client.project
         table_reference = _get_table_reference_for_new_entity(
             client,
-            client.project,
+            dataset_project,
             config.offline_store.dataset,
             config.offline_store.location,
         )
@@ -295,9 +313,11 @@ def write_logged_features(
     ):
         destination = logging_config.destination
         assert isinstance(destination, BigQueryLoggingDestination)
-
+        project_id = (
+            config.offline_store.billing_project_id or config.offline_store.project_id
+        )
         client = _get_bigquery_client(
-            project=config.offline_store.project_id,
+            project=project_id,
             location=config.offline_store.location,
         )
 
@@ -353,9 +373,11 @@ def offline_write_batch(
 
         if table.schema != pa_schema:
             table = table.cast(pa_schema)
-
+        project_id = (
+            config.offline_store.billing_project_id or config.offline_store.project_id
+        )
         client = _get_bigquery_client(
-            project=config.offline_store.project_id,
+            project=project_id,
             location=config.offline_store.location,
         )
 
@@ -451,7 +473,10 @@ def to_bigquery(
         if not job_config:
             today = date.today().strftime("%Y%m%d")
             rand_id = str(uuid.uuid4())[:7]
-            path = f"{self.client.project}.{self.config.offline_store.dataset}.historical_{today}_{rand_id}"
+            if self.config.offline_store.billing_project_id:
+                path = f"{self.config.offline_store.project_id}.{self.config.offline_store.dataset}.historical_{today}_{rand_id}"
+            else:
+                path = f"{self.client.project}.{self.config.offline_store.dataset}.historical_{today}_{rand_id}"
             job_config = bigquery.QueryJobConfig(destination=path)
 
         if not job_config.dry_run and self.on_demand_feature_views:
@@ -525,7 +550,10 @@ def to_remote_storage(self) -> List[str]:
 
         bucket: str
         prefix: str
-        storage_client = StorageClient(project=self.client.project)
+        if self.config.offline_store.billing_project_id:
+            storage_client = StorageClient(project=self.config.offline_store.project_id)
+        else:
+            storage_client = StorageClient(project=self.client.project)
         bucket, prefix = self._gcs_path[len("gs://") :].split("/", 1)
         prefix = prefix.rsplit("/", 1)[0]
         if prefix.startswith("/"):