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feat: Optimize DynamoDB online store for improved latency #5889
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -53,11 +53,13 @@ class DynamoDBOnlineStoreConfig(FeastConfigBaseModel): | |
| type: Literal["dynamodb"] = "dynamodb" | ||
| """Online store type selector""" | ||
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| batch_size: int = 40 | ||
| """Number of items to retrieve in a DynamoDB BatchGetItem call.""" | ||
| batch_size: int = 100 | ||
| """Number of items to retrieve in a DynamoDB BatchGetItem call. | ||
| DynamoDB supports up to 100 items per BatchGetItem request.""" | ||
|
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||
| endpoint_url: Union[str, None] = None | ||
| """DynamoDB local development endpoint Url, i.e. http://localhost:8000""" | ||
| """DynamoDB endpoint URL. Use for local development (e.g., http://localhost:8000) | ||
| or VPC endpoints for improved latency.""" | ||
|
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| region: StrictStr | ||
| """AWS Region Name""" | ||
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@@ -74,30 +76,33 @@ class DynamoDBOnlineStoreConfig(FeastConfigBaseModel): | |
| session_based_auth: bool = False | ||
| """AWS session based client authentication""" | ||
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| max_pool_connections: int = 10 | ||
| """Max number of connections for async Dynamodb operations""" | ||
| max_pool_connections: int = 50 | ||
| """Max number of connections for async Dynamodb operations. | ||
| Increase for high-throughput workloads.""" | ||
|
|
||
| keepalive_timeout: float = 12.0 | ||
| """Keep-alive timeout in seconds for async Dynamodb connections.""" | ||
| keepalive_timeout: float = 30.0 | ||
| """Keep-alive timeout in seconds for async Dynamodb connections. | ||
| Higher values help reuse connections under sustained load.""" | ||
|
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||
| connect_timeout: Union[int, float] = 60 | ||
| connect_timeout: Union[int, float] = 5 | ||
| """The time in seconds until a timeout exception is thrown when attempting to make | ||
| an async connection.""" | ||
| an async connection. Lower values enable faster failure detection.""" | ||
|
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| read_timeout: Union[int, float] = 60 | ||
| read_timeout: Union[int, float] = 10 | ||
| """The time in seconds until a timeout exception is thrown when attempting to read | ||
| from an async connection.""" | ||
| from an async connection. Lower values enable faster failure detection.""" | ||
|
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||
| total_max_retry_attempts: Union[int, None] = None | ||
| total_max_retry_attempts: Union[int, None] = 3 | ||
| """Maximum number of total attempts that will be made on a single request. | ||
|
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||
| Maps to `retries.total_max_attempts` in botocore.config.Config. | ||
| """ | ||
|
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| retry_mode: Union[Literal["legacy", "standard", "adaptive"], None] = None | ||
| retry_mode: Union[Literal["legacy", "standard", "adaptive"], None] = "adaptive" | ||
| """The type of retry mode (aio)botocore should use. | ||
|
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||
| Maps to `retries.mode` in botocore.config.Config. | ||
| 'adaptive' mode provides intelligent retry with client-side rate limiting. | ||
| """ | ||
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@@ -111,16 +116,22 @@ class DynamoDBOnlineStore(OnlineStore): | |
| _aioboto_session: Async boto session. | ||
| _aioboto_client: Async boto client. | ||
| _aioboto_context_stack: Async context stack. | ||
| _type_deserializer: Cached TypeDeserializer instance for performance. | ||
| """ | ||
|
|
||
| _dynamodb_client = None | ||
| _dynamodb_resource = None | ||
| # Class-level cached TypeDeserializer to avoid per-request instantiation | ||
| _type_deserializer: Optional[TypeDeserializer] = None | ||
|
|
||
| def __init__(self): | ||
| super().__init__() | ||
| self._aioboto_session = None | ||
| self._aioboto_client = None | ||
| self._aioboto_context_stack = None | ||
| # Initialize cached TypeDeserializer if not already done | ||
| if DynamoDBOnlineStore._type_deserializer is None: | ||
| DynamoDBOnlineStore._type_deserializer = TypeDeserializer() | ||
|
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| async def initialize(self, config: RepoConfig): | ||
| online_config = config.online_store | ||
|
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@@ -133,6 +144,7 @@ async def initialize(self, config: RepoConfig): | |
| online_config.read_timeout, | ||
| online_config.total_max_retry_attempts, | ||
| online_config.retry_mode, | ||
| online_config.endpoint_url, | ||
| ) | ||
|
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| async def close(self): | ||
|
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@@ -153,6 +165,7 @@ async def _get_aiodynamodb_client( | |
| read_timeout: Union[int, float], | ||
| total_max_retry_attempts: Union[int, None], | ||
| retry_mode: Union[Literal["legacy", "standard", "adaptive"], None], | ||
| endpoint_url: Optional[str] = None, | ||
| ): | ||
| if self._aioboto_client is None: | ||
| logger.debug("initializing the aiobotocore dynamodb client") | ||
|
|
@@ -163,16 +176,23 @@ async def _get_aiodynamodb_client( | |
| if retry_mode is not None: | ||
| retries["mode"] = retry_mode | ||
|
|
||
| client_context = self._get_aioboto_session().create_client( | ||
| "dynamodb", | ||
| region_name=region, | ||
| config=AioConfig( | ||
| # Build client kwargs, including endpoint_url for VPC endpoints or local testing | ||
| client_kwargs: Dict[str, Any] = { | ||
| "region_name": region, | ||
| "config": AioConfig( | ||
| max_pool_connections=max_pool_connections, | ||
| connect_timeout=connect_timeout, | ||
| read_timeout=read_timeout, | ||
| retries=retries if retries else None, | ||
| connector_args={"keepalive_timeout": keepalive_timeout}, | ||
| ), | ||
| } | ||
| if endpoint_url: | ||
| client_kwargs["endpoint_url"] = endpoint_url | ||
|
|
||
| client_context = self._get_aioboto_session().create_client( | ||
| "dynamodb", | ||
| **client_kwargs, | ||
| ) | ||
| self._aioboto_context_stack = contextlib.AsyncExitStack() | ||
| self._aioboto_client = ( | ||
|
|
@@ -431,6 +451,7 @@ async def online_write_batch_async( | |
| online_config.read_timeout, | ||
| online_config.total_max_retry_attempts, | ||
| online_config.retry_mode, | ||
| online_config.endpoint_url, | ||
| ) | ||
| await dynamo_write_items_async(client, table_name, items) | ||
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|
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@@ -448,6 +469,7 @@ def online_read( | |
| config: The RepoConfig for the current FeatureStore. | ||
| table: Feast FeatureView. | ||
| entity_keys: a list of entity keys that should be read from the FeatureStore. | ||
| requested_features: Optional list of feature names to retrieve. | ||
| """ | ||
| online_config = config.online_store | ||
| assert isinstance(online_config, DynamoDBOnlineStoreConfig) | ||
|
|
@@ -479,7 +501,9 @@ def online_read( | |
| RequestItems=batch_entity_ids, | ||
| ) | ||
| batch_result = self._process_batch_get_response( | ||
| table_instance.name, response, entity_ids, batch | ||
| table_instance.name, | ||
| response, | ||
| batch, | ||
| ) | ||
| result.extend(batch_result) | ||
| return result | ||
|
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@@ -513,7 +537,10 @@ async def online_read_async( | |
| entity_ids_iter = iter(entity_ids) | ||
| table_name = _get_table_name(online_config, config, table) | ||
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||
| deserialize = TypeDeserializer().deserialize | ||
| # Use cached TypeDeserializer for better performance | ||
| if self._type_deserializer is None: | ||
| self._type_deserializer = TypeDeserializer() | ||
| deserialize = self._type_deserializer.deserialize | ||
|
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| def to_tbl_resp(raw_client_response): | ||
| return { | ||
|
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@@ -542,6 +569,7 @@ def to_tbl_resp(raw_client_response): | |
| online_config.read_timeout, | ||
| online_config.total_max_retry_attempts, | ||
| online_config.retry_mode, | ||
| online_config.endpoint_url, | ||
| ) | ||
| response_batches = await asyncio.gather( | ||
| *[ | ||
|
|
@@ -557,7 +585,6 @@ def to_tbl_resp(raw_client_response): | |
| result_batch = self._process_batch_get_response( | ||
| table_name, | ||
| response, | ||
| entity_ids, | ||
| batch, | ||
| to_tbl_response=to_tbl_resp, | ||
| ) | ||
|
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@@ -589,26 +616,6 @@ def _get_dynamodb_resource( | |
| ) | ||
| return self._dynamodb_resource | ||
|
|
||
| def _sort_dynamodb_response( | ||
| self, | ||
| responses: list, | ||
| order: list, | ||
| to_tbl_response: Callable = lambda raw_dict: raw_dict, | ||
| ) -> Any: | ||
| """DynamoDB Batch Get Item doesn't return items in a particular order.""" | ||
| # Assign an index to order | ||
| order_with_index = {value: idx for idx, value in enumerate(order)} | ||
| # Sort table responses by index | ||
| table_responses_ordered: Any = [ | ||
| (order_with_index[tbl_res["entity_id"]], tbl_res) | ||
| for tbl_res in map(to_tbl_response, responses) | ||
| ] | ||
| table_responses_ordered = sorted( | ||
| table_responses_ordered, key=lambda tup: tup[0] | ||
| ) | ||
| _, table_responses_ordered = zip(*table_responses_ordered) | ||
| return table_responses_ordered | ||
|
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||
| def _write_batch_non_duplicates( | ||
| self, | ||
| table_instance, | ||
|
|
@@ -630,37 +637,77 @@ def _write_batch_non_duplicates( | |
| progress(1) | ||
|
|
||
| def _process_batch_get_response( | ||
| self, table_name, response, entity_ids, batch, **sort_kwargs | ||
| ): | ||
| response = response.get("Responses") | ||
| table_responses = response.get(table_name) | ||
| self, | ||
| table_name: str, | ||
| response: Dict[str, Any], | ||
| batch: List[str], | ||
| to_tbl_response: Callable = lambda raw_dict: raw_dict, | ||
| ) -> List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]]: | ||
| """Process batch get response using O(1) dictionary lookup. | ||
|
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||
| batch_result = [] | ||
| if table_responses: | ||
| table_responses = self._sort_dynamodb_response( | ||
| table_responses, entity_ids, **sort_kwargs | ||
| ) | ||
| entity_idx = 0 | ||
| for tbl_res in table_responses: | ||
| entity_id = tbl_res["entity_id"] | ||
| while entity_id != batch[entity_idx]: | ||
| batch_result.append((None, None)) | ||
| entity_idx += 1 | ||
| res = {} | ||
| for feature_name, value_bin in tbl_res["values"].items(): | ||
| DynamoDB BatchGetItem doesn't return items in a particular order, | ||
| so we use a dictionary for O(1) lookup instead of O(n log n) sorting. | ||
|
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||
| This method: | ||
| - Uses dictionary lookup instead of sorting for response ordering | ||
| - Pre-allocates the result list with None values | ||
| - Minimizes object creation in the hot path | ||
|
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||
| Args: | ||
| table_name: Name of the DynamoDB table | ||
| response: Raw response from DynamoDB batch_get_item | ||
| batch: List of entity_ids in the order they should be returned | ||
| to_tbl_response: Function to transform raw DynamoDB response items | ||
| (used for async client responses that need deserialization) | ||
|
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||
| Returns: | ||
| List of (timestamp, features) tuples in the same order as batch | ||
| """ | ||
| responses_data = response.get("Responses") | ||
| if not responses_data: | ||
| # No responses at all, return all None tuples | ||
| return [(None, None)] * len(batch) | ||
|
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| table_responses = responses_data.get(table_name) | ||
| if not table_responses: | ||
| # No responses for this table, return all None tuples | ||
| return [(None, None)] * len(batch) | ||
|
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| # Build a dictionary for O(1) lookup instead of O(n log n) sorting | ||
| response_dict: Dict[str, Any] = { | ||
| tbl_res["entity_id"]: tbl_res | ||
| for tbl_res in map(to_tbl_response, table_responses) | ||
| } | ||
|
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| # Pre-allocate result list with None tuples (faster than appending) | ||
| batch_size = len(batch) | ||
| result: List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]] = [ | ||
| (None, None) | ||
| ] * batch_size | ||
|
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||
|
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||
| # Process each entity in batch order using O(1) dict lookup | ||
| for idx, entity_id in enumerate(batch): | ||
| tbl_res = response_dict.get(entity_id) | ||
| if tbl_res is not None: | ||
| # Parse feature values | ||
| features: Dict[str, ValueProto] = {} | ||
| values_data = tbl_res["values"] | ||
| for feature_name, value_bin in values_data.items(): | ||
| val = ValueProto() | ||
| val.ParseFromString(value_bin.value) | ||
| res[feature_name] = val | ||
| batch_result.append((datetime.fromisoformat(tbl_res["event_ts"]), res)) | ||
| entity_idx += 1 | ||
| # Not all entities in a batch may have responses | ||
| # Pad with remaining values in batch that were not found | ||
| batch_size_nones = ((None, None),) * (len(batch) - len(batch_result)) | ||
| batch_result.extend(batch_size_nones) | ||
| return batch_result | ||
| features[feature_name] = val | ||
|
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| # Parse timestamp and set result | ||
| result[idx] = ( | ||
| datetime.fromisoformat(tbl_res["event_ts"]), | ||
| features, | ||
| ) | ||
|
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| return result | ||
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| @staticmethod | ||
| def _to_entity_ids(config: RepoConfig, entity_keys: List[EntityKeyProto]): | ||
| """Convert entity keys to entity IDs.""" | ||
| return [ | ||
| compute_entity_id( | ||
| entity_key, | ||
|
|
||
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(Refers to lines 56-106)
🚩 Breaking change in default configuration values may affect existing deployments
Several default values have changed significantly:
connect_timeout: 60s → 5s (12x reduction)read_timeout: 60s → 10s (6x reduction)total_max_retry_attempts: None → 3 (now bounded)batch_size: 40 → 100 (2.5x increase)Existing deployments relying on defaults may experience different behavior. The lower timeouts will cause faster failure detection but could also cause more timeout errors in high-latency environments. The bounded retries could cause failures that previously would have eventually succeeded. These are reasonable production defaults but may require documentation/migration notes.
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