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sql_query

SQL query algorithm.

Classes​

SqlQuery​

class SqlQuery(*, query: str, table: Optional[str] = None):

Simple algorithm for running a SQL query on a table.

info

The default table for single-table datasources is the pod identifier without the username, in between backticks(``). Please ensure your SQL query operates on that table. The table name should be put inside backticks(``) in the query statement, to make sure it is correctly parsed e.g. SELECT MAX(G) AS MAX_OF_G FROM `df` . This is the standard quoting mechanism used by MySQL (and also included in SQLite).

info

If you are using a multi-table datasource, ensure that your SQL query syntax matches the syntax required by the Pod database backend.

Arguments

  • query: The SQL query to execute.
  • table: The target table name. For single table pod datasources, this will default to the pod name.

Attributes

  • class_name: The name of the algorithm class.
  • fields_dict: A dictionary mapping all attributes that will be serialized in the class to their marshamllow field type. (e.g. fields_dict = {"class_name": fields.Str()}).
  • nested_fields: A dictionary mapping all nested attributes to a registry that contains class names mapped to the respective classes. (e.g. nested_fields = {"datastructure": datastructure.registry})
  • query: The SQL query to execute.
  • table: The target table name. For single table pod datasources, this will default to the pod name.

Ancestors​

  • BaseAlgorithmFactory
  • bitfount.federated.mixins._ModellessAlgorithmMixIn
  • abc.ABC
  • bitfount.federated.roles._RolesMixIn
  • bitfount.types._BaseSerializableObjectMixIn
  • bitfount.federated.types._DataLessAlgorithm

Variables​

Methods​

create​

def create(self, role: Union[str, Role], **kwargs: Any) ‑> Any:

Create an instance representing the role specified.

execute​

def execute(    self,    pod_identifiers: List[str],    username: Optional[str] = None,    bitfounthub: Optional[BitfountHub] = None,    ms_config: Optional[MessageServiceConfig] = None,    message_service: Optional[_MessageService] = None,    pod_public_key_paths: Optional[Mapping[str, Path]] = None,    identity_verification_method: IdentityVerificationMethod = IdentityVerificationMethod.OIDC_DEVICE_CODE,    private_key_or_file: Optional[Union[RSAPrivateKey, Path]] = None,    idp_url: Optional[str] = None,    require_all_pods: bool = False,    aggregator: Optional[_BaseAggregatorFactory] = None,    project_id: Optional[str] = None,) ‑> List[pd.DataFrame]:

Execute ResultsOnly compatible algorithm.

Syntactic sugar to allow the modeller to call .execute(...) on ResultsOnly compatible algorithms.

modeller​

def modeller(    self, **kwargs: Any,) ‑> bitfount.federated.algorithms.sql_query._ModellerSide:

Returns the modeller side of the SqlQuery algorithm.

worker​

def worker(self, **kwargs: Any) ‑> bitfount.federated.algorithms.sql_query._WorkerSide:

Returns the worker side of the SqlQuery algorithm.