Source code for feast.infra.offline_stores.redshift_source

import warnings
from typing import Callable, Dict, Iterable, Optional, Tuple

from feast import type_map
from feast.data_source import DataSource
from feast.errors import DataSourceNotFoundException, RedshiftCredentialsError
from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto
from feast.protos.feast.core.SavedDataset_pb2 import (
    SavedDatasetStorage as SavedDatasetStorageProto,
from feast.repo_config import RepoConfig
from feast.saved_dataset import SavedDatasetStorage
from feast.value_type import ValueType

[docs]class RedshiftSource(DataSource): def __init__( self, *, event_timestamp_column: Optional[str] = "", table: Optional[str] = None, schema: Optional[str] = None, created_timestamp_column: Optional[str] = "", field_mapping: Optional[Dict[str, str]] = None, date_partition_column: Optional[str] = None, query: Optional[str] = None, name: Optional[str] = None, description: Optional[str] = "", tags: Optional[Dict[str, str]] = None, owner: Optional[str] = "", database: Optional[str] = "", timestamp_field: Optional[str] = "", ): """ Creates a RedshiftSource object. Args: event_timestamp_column (optional): (Deprecated) Event timestamp column used for point in time joins of feature values. table (optional): Redshift table where the features are stored. schema (optional): Redshift schema in which the table is located. created_timestamp_column (optional): Timestamp column indicating when the row was created, used for deduplicating rows. field_mapping (optional): A dictionary mapping of column names in this data source to column names in a feature table or view. date_partition_column (deprecated): Timestamp column used for partitioning. query (optional): The query to be executed to obtain the features. name (optional): Name for the source. Defaults to the table_ref if not specified. description (optional): A human-readable description. tags (optional): A dictionary of key-value pairs to store arbitrary metadata. owner (optional): The owner of the redshift source, typically the email of the primary maintainer. database (optional): The Redshift database name. timestamp_field (optional): Event timestamp field used for point in time joins of feature values. """ # The default Redshift schema is named "public". _schema = "public" if table and not schema else schema self.redshift_options = RedshiftOptions( table=table, schema=_schema, query=query, database=database ) if table is None and query is None: raise ValueError('No "table" argument provided.') _name = name if not _name: if table: _name = table else: warnings.warn( ( f"Starting in Feast 0.21, Feast will require either a name for a data source (if using query) " f"or `table`: {self.query}" ), DeprecationWarning, ) if date_partition_column: warnings.warn( ( "The argument 'date_partition_column' is not supported for Redshift sources." "It will be removed in Feast 0.21+" ), DeprecationWarning, ) super().__init__( name=_name if _name else "", event_timestamp_column=event_timestamp_column, created_timestamp_column=created_timestamp_column, field_mapping=field_mapping, description=description, tags=tags, owner=owner, timestamp_field=timestamp_field, )
[docs] @staticmethod def from_proto(data_source: DataSourceProto): """ Creates a RedshiftSource from a protobuf representation of a RedshiftSource. Args: data_source: A protobuf representation of a RedshiftSource Returns: A RedshiftSource object based on the data_source protobuf. """ return RedshiftSource(, field_mapping=dict(data_source.field_mapping), table=data_source.redshift_options.table, schema=data_source.redshift_options.schema, timestamp_field=data_source.timestamp_field, created_timestamp_column=data_source.created_timestamp_column, query=data_source.redshift_options.query, description=data_source.description, tags=dict(data_source.tags), owner=data_source.owner, database=data_source.redshift_options.database, )
# Note: Python requires redefining hash in child classes that override __eq__ def __hash__(self): return super().__hash__() def __eq__(self, other): if not isinstance(other, RedshiftSource): raise TypeError( "Comparisons should only involve RedshiftSource class objects." ) return ( super().__eq__(other) and self.redshift_options.table == other.redshift_options.table and self.redshift_options.schema == other.redshift_options.schema and self.redshift_options.query == other.redshift_options.query and self.redshift_options.database == other.redshift_options.database ) @property def table(self): """Returns the table of this Redshift source.""" return self.redshift_options.table @property def schema(self): """Returns the schema of this Redshift source.""" return self.redshift_options.schema @property def query(self): """Returns the Redshift query of this Redshift source.""" return self.redshift_options.query @property def database(self): """Returns the Redshift database of this Redshift source.""" return self.redshift_options.database
[docs] def to_proto(self) -> DataSourceProto: """ Converts a RedshiftSource object to its protobuf representation. Returns: A DataSourceProto object. """ data_source_proto = DataSourceProto(, type=DataSourceProto.BATCH_REDSHIFT, field_mapping=self.field_mapping, redshift_options=self.redshift_options.to_proto(), description=self.description, tags=self.tags, owner=self.owner, timestamp_field=self.timestamp_field, created_timestamp_column=self.created_timestamp_column, ) return data_source_proto
[docs] def validate(self, config: RepoConfig): # As long as the query gets successfully executed, or the table exists, # the data source is validated. We don't need the results though. self.get_table_column_names_and_types(config)
[docs] def get_table_query_string(self) -> str: """Returns a string that can directly be used to reference this table in SQL.""" if self.table: return f'"{self.schema}"."{self.table}"' else: return f"({self.query})"
[docs] @staticmethod def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]: return type_map.redshift_to_feast_value_type
[docs] def get_table_column_names_and_types( self, config: RepoConfig ) -> Iterable[Tuple[str, str]]: """ Returns a mapping of column names to types for this Redshift source. Args: config: A RepoConfig describing the feature repo """ from botocore.exceptions import ClientError from feast.infra.offline_stores.redshift import RedshiftOfflineStoreConfig from feast.infra.utils import aws_utils assert isinstance(config.offline_store, RedshiftOfflineStoreConfig) client = aws_utils.get_redshift_data_client(config.offline_store.region) if self.table: try: table = client.describe_table( ClusterIdentifier=config.offline_store.cluster_id, Database=( self.database if self.database else config.offline_store.database ), DbUser=config.offline_store.user, Table=self.table, Schema=self.schema, ) except ClientError as e: if e.response["Error"]["Code"] == "ValidationException": raise RedshiftCredentialsError() from e raise # The API returns valid JSON with empty column list when the table doesn't exist if len(table["ColumnList"]) == 0: raise DataSourceNotFoundException(self.table) columns = table["ColumnList"] else: statement_id = aws_utils.execute_redshift_statement( client, config.offline_store.cluster_id, self.database if self.database else config.offline_store.database, config.offline_store.user, f"SELECT * FROM ({self.query}) LIMIT 1", ) columns = aws_utils.get_redshift_statement_result(client, statement_id)[ "ColumnMetadata" ] return [(column["name"], column["typeName"].upper()) for column in columns]
[docs]class RedshiftOptions: """ Configuration options for a Redshift data source. """ def __init__( self, table: Optional[str], schema: Optional[str], query: Optional[str], database: Optional[str], ): self.table = table or "" self.schema = schema or "" self.query = query or "" self.database = database or ""
[docs] @classmethod def from_proto(cls, redshift_options_proto: DataSourceProto.RedshiftOptions): """ Creates a RedshiftOptions from a protobuf representation of a Redshift option. Args: redshift_options_proto: A protobuf representation of a DataSource Returns: A RedshiftOptions object based on the redshift_options protobuf. """ redshift_options = cls( table=redshift_options_proto.table, schema=redshift_options_proto.schema, query=redshift_options_proto.query, database=redshift_options_proto.database, ) return redshift_options
[docs] def to_proto(self) -> DataSourceProto.RedshiftOptions: """ Converts an RedshiftOptionsProto object to its protobuf representation. Returns: A RedshiftOptionsProto protobuf. """ redshift_options_proto = DataSourceProto.RedshiftOptions( table=self.table, schema=self.schema, query=self.query, database=self.database, ) return redshift_options_proto
[docs]class SavedDatasetRedshiftStorage(SavedDatasetStorage): _proto_attr_name = "redshift_storage" redshift_options: RedshiftOptions def __init__(self, table_ref: str): self.redshift_options = RedshiftOptions( table=table_ref, schema=None, query=None, database=None )
[docs] @staticmethod def from_proto(storage_proto: SavedDatasetStorageProto) -> SavedDatasetStorage: return SavedDatasetRedshiftStorage( table_ref=RedshiftOptions.from_proto(storage_proto.redshift_storage).table )
[docs] def to_proto(self) -> SavedDatasetStorageProto: return SavedDatasetStorageProto( redshift_storage=self.redshift_options.to_proto() )
[docs] def to_data_source(self) -> DataSource: return RedshiftSource(table=self.redshift_options.table)