fix: Fix timestamp consistency in push api (feast-dev#3614)

Signed-off-by: Jiwon Park <bakjeeone@hotmail.com>
zerafachris · May 16, 2023 · 9b227d7 · 9b227d7
1 parent bfb26c3
commit 9b227d7
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Showing 3 changed files with 9 additions and 6 deletions.
diff --git a/sdk/python/feast/infra/offline_stores/bigquery.py b/sdk/python/feast/infra/offline_stores/bigquery.py
@@ -363,7 +363,7 @@ def offline_write_batch(
         assert isinstance(feature_view.batch_source, BigQuerySource)
 
         pa_schema, column_names = offline_utils.get_pyarrow_schema_from_batch_source(
-            config, feature_view.batch_source
+            config, feature_view.batch_source, timestamp_unit="ns"
         )
         if column_names != table.column_names:
             raise ValueError(

diff --git a/sdk/python/feast/infra/offline_stores/offline_utils.py b/sdk/python/feast/infra/offline_stores/offline_utils.py
@@ -232,7 +232,7 @@ def get_offline_store_from_config(offline_store_config: Any) -> OfflineStore:
 
 
 def get_pyarrow_schema_from_batch_source(
-    config: RepoConfig, batch_source: DataSource
+    config: RepoConfig, batch_source: DataSource, timestamp_unit: str = "us"
 ) -> Tuple[pa.Schema, List[str]]:
     """Returns the pyarrow schema and column names for the given batch source."""
     column_names_and_types = batch_source.get_table_column_names_and_types(config)
@@ -244,7 +244,8 @@ def get_pyarrow_schema_from_batch_source(
             (
                 column_name,
                 feast_value_type_to_pa(
-                    batch_source.source_datatype_to_feast_value_type()(column_type)
+                    batch_source.source_datatype_to_feast_value_type()(column_type),
+                    timestamp_unit=timestamp_unit,
                 ),
             )
         )

diff --git a/sdk/python/feast/type_map.py b/sdk/python/feast/type_map.py
@@ -844,7 +844,9 @@ def pg_type_to_feast_value_type(type_str: str) -> ValueType:
     return value
 
 
-def feast_value_type_to_pa(feast_type: ValueType) -> "pyarrow.DataType":
+def feast_value_type_to_pa(
+    feast_type: ValueType, timestamp_unit: str = "us"
+) -> "pyarrow.DataType":
     import pyarrow
 
     type_map = {
@@ -855,15 +857,15 @@ def feast_value_type_to_pa(feast_type: ValueType) -> "pyarrow.DataType":
         ValueType.STRING: pyarrow.string(),
         ValueType.BYTES: pyarrow.binary(),
         ValueType.BOOL: pyarrow.bool_(),
-        ValueType.UNIX_TIMESTAMP: pyarrow.timestamp("us"),
+        ValueType.UNIX_TIMESTAMP: pyarrow.timestamp(timestamp_unit),
         ValueType.INT32_LIST: pyarrow.list_(pyarrow.int32()),
         ValueType.INT64_LIST: pyarrow.list_(pyarrow.int64()),
         ValueType.DOUBLE_LIST: pyarrow.list_(pyarrow.float64()),
         ValueType.FLOAT_LIST: pyarrow.list_(pyarrow.float32()),
         ValueType.STRING_LIST: pyarrow.list_(pyarrow.string()),
         ValueType.BYTES_LIST: pyarrow.list_(pyarrow.binary()),
         ValueType.BOOL_LIST: pyarrow.list_(pyarrow.bool_()),
-        ValueType.UNIX_TIMESTAMP_LIST: pyarrow.list_(pyarrow.timestamp("us")),
+        ValueType.UNIX_TIMESTAMP_LIST: pyarrow.list_(pyarrow.timestamp(timestamp_unit)),
         ValueType.NULL: pyarrow.null(),
     }
     return type_map[feast_type]