Struct datafusion_python::common::data_type::DataTypeMap

pub struct DataTypeMap { /* private fields */ }

These bindings are tying together several disparate systems. You have SQL types for the SQL strings and RDBMS systems itself. Rust types for the DataFusion code Arrow types which represents the underlying arrow format Python types which represent the type in Python It is important to keep all of those types in a single and managable location. Therefore this structure exists to map those types and provide a simple place for developers to map types from one system to another.

Implementations

impl DataTypeMap

pub fn map_from_arrow_type(arrow_type: &DataType) -> Result<DataTypeMap, PyErr>

impl DataTypeMap

pub fn py_new( arrow_type: PyDataType, python_type: PythonType, sql_type: SqlType ) -> Self

pub fn py_map_from_arrow_type(arrow_type: &PyDataType) -> PyResult<DataTypeMap>

pub fn py_map_from_sql_type(sql_type: &SqlType) -> PyResult<DataTypeMap>

Trait Implementations

impl Clone for DataTypeMap

fn clone(&self) -> DataTypeMap

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DataTypeMap

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl IntoPy<Py<PyAny>> for DataTypeMap

fn into_py(self, py: Python<'_>) -> PyObject

Performs the conversion.

impl PyClass for DataTypeMap

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for DataTypeMap

const DOC: &'static str = _

Class doc string

const IS_BASETYPE: bool = true

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

type Layout = PyCell<DataTypeMap>

Layout

type BaseType = PyAny

Base class

type ThreadChecker = ThreadCheckerStub<DataTypeMap>

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a DataTypeMap

type Holder = Option<PyRef<'py, DataTypeMap>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a mut DataTypeMap

type Holder = Option<PyRefMut<'py, DataTypeMap>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl PyMethods<DataTypeMap> for PyClassImplCollector<DataTypeMap>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for DataTypeMap

type AsRefTarget = PyCell<DataTypeMap>

Utility type to make Py::as_ref work.

const NAME: &'static str = _

Class name.

const MODULE: Option<&'static str> = _

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> &PyType

Returns the safe abstraction over the type object.

fn is_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_exact_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type.