DataBackendSession

Struct DataBackendSession 

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pub struct DataBackendSession {
    pub chunk_size: usize,
    pub runtime: Arc<Runtime>,
    /* private fields */
}
Expand description

Provides a DataFusion session and registers DataFusion queries.

The session is used to register data sources and make queries on them. A query returns a Chunk of Arrow records. It is decoded and converted into a Vec of data by types that implement DecodeDataFromRecordBatch.

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§chunk_size: usize§runtime: Arc<Runtime>

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impl DataBackendSession

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pub fn new(chunk_size: usize) -> Self

Creates a new DataBackendSession instance.

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pub fn register_object_store( &mut self, url: &Url, object_store: Arc<dyn ObjectStore>, )

Register an object store with the session context

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pub fn register_object_store_from_uri( &mut self, uri: &str, storage_options: Option<HashMap<String, String>>, ) -> Result<()>

Register an object store with the session context from a URI with optional storage options

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pub fn write_data<T: EncodeToRecordBatch>( data: &[T], metadata: &HashMap<String, String>, stream: &mut dyn WriteStream, ) -> Result<(), DataStreamingError>

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pub fn add_file<T>( &mut self, table_name: &str, file_path: &str, sql_query: Option<&str>, ) -> Result<()>

Query a file for its records. the caller must specify T to indicate the kind of data expected from this query.

table_name: Logical table_name assigned to this file. Queries to this file should address the file by its table name. file_path: Path to file sql_query: A custom sql query to retrieve records from file. If no query is provided a default query “SELECT * FROM <table_name>” is run.

§Safety

The file data must be ordered by the ts_init in ascending order for this to work correctly.

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pub fn get_query_result(&mut self) -> QueryResult

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pub fn clear_registered_tables(&mut self)

Clears all registered tables and batch streams.

This is useful when the underlying files have changed and we need to re-register tables with updated data.

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impl<'py> IntoPyObject<'py> for DataBackendSession

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type Target = DataBackendSession

The Python output type
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type Output = Bound<'py, <DataBackendSession as IntoPyObject<'py>>::Target>

The smart pointer type to use. Read more
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type Error = PyErr

The type returned in the event of a conversion error.
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fn into_pyobject( self, py: Python<'py>, ) -> Result<<Self as IntoPyObject<'_>>::Output, <Self as IntoPyObject<'_>>::Error>

Performs the conversion.
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impl PyClass for DataBackendSession

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type Frozen = False

Whether the pyclass is frozen. Read more
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impl PyClassImpl for DataBackendSession

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const IS_BASETYPE: bool = false

#[pyclass(subclass)]
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const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]
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const IS_MAPPING: bool = false

#[pyclass(mapping)]
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const IS_SEQUENCE: bool = false

#[pyclass(sequence)]
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const IS_IMMUTABLE_TYPE: bool = false

#[pyclass(immutable_type)]
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const RAW_DOC: &'static CStr = /// Provides a DataFusion session and registers DataFusion queries. /// /// The session is used to register data sources and make queries on them. A /// query returns a Chunk of Arrow records. It is decoded and converted into /// a Vec of data by types that implement [`DecodeDataFromRecordBatch`].

Docstring for the class provided on the struct or enum. Read more
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const DOC: &'static CStr

Fully rendered class doc, including the text_signature if a constructor is defined. Read more
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type BaseType = PyAny

Base class
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type ThreadChecker = SendablePyClass<DataBackendSession>

This handles following two situations: Read more
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type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable
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type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.
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type BaseNativeType = PyAny

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fn items_iter() -> PyClassItemsIter

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fn lazy_type_object() -> &'static LazyTypeObject<Self>

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fn dict_offset() -> Option<isize>

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fn weaklist_offset() -> Option<isize>

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impl PyClassNewTextSignature for DataBackendSession

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const TEXT_SIGNATURE: &'static str = "(chunk_size=10000)"

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impl PyMethods<DataBackendSession> for PyClassImplCollector<DataBackendSession>

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fn py_methods(self) -> &'static PyClassItems

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impl PyTypeInfo for DataBackendSession

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const NAME: &'static str = "DataBackendSession"

Class name.
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const MODULE: Option<&'static str>

Module name, if any.
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fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.
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fn type_object(py: Python<'_>) -> Bound<'_, PyType>

Returns the safe abstraction over the type object.
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Checks if object is an instance of this type or a subclass of this type.
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fn is_exact_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type.
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impl DerefToPyAny for DataBackendSession

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impl ExtractPyClassWithClone for DataBackendSession

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impl Send for DataBackendSession

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