feast.infra.utils.postgres package

Submodules

feast.infra.utils.postgres.connection_utils module

feast.infra.utils.postgres.connection_utils.df_to_postgres_table(config: feast.infra.utils.postgres.postgres_config.PostgreSQLConfig, df: pandas.core.frame.DataFrame, table_name: str) → Dict[str, numpy.dtype][source]

Create a table for the data frame, insert all the values, and return the table schema

feast.infra.utils.postgres.connection_utils.get_query_schema(config: feast.infra.utils.postgres.postgres_config.PostgreSQLConfig, sql_query: str) → Dict[str, numpy.dtype][source]

We’ll use the statement when we perform the query rather than copying data to a new table

feast.infra.utils.postgres.postgres_config module

class feast.infra.utils.postgres.postgres_config.PostgreSQLConfig(*, host: pydantic.types.StrictStr, port: int = 5432, database: pydantic.types.StrictStr, db_schema: pydantic.types.StrictStr = 'public', user: pydantic.types.StrictStr, password: pydantic.types.StrictStr, sslmode: pydantic.types.StrictStr = None, sslkey_path: pydantic.types.StrictStr = None, sslcert_path: pydantic.types.StrictStr = None, sslrootcert_path: pydantic.types.StrictStr = None)[source]

Bases: feast.repo_config.FeastConfigBaseModel

database: pydantic.types.StrictStr
db_schema: pydantic.types.StrictStr
host: pydantic.types.StrictStr
password: pydantic.types.StrictStr
port: int
sslcert_path: Optional[pydantic.types.StrictStr]
sslkey_path: Optional[pydantic.types.StrictStr]
sslmode: Optional[pydantic.types.StrictStr]
sslrootcert_path: Optional[pydantic.types.StrictStr]
user: pydantic.types.StrictStr

Module contents