ParquetToPolarsLazyFrameDecodingHandler

Package: flyteplugins.polars.df_transformer

Parameters

        
    
def ParquetToPolarsLazyFrameDecodingHandler()

Extend this abstract class, implement the decode function, and register your concrete class with DataFrameTransformerEngine so that the Flyte type engine can handle dataframe libraries. This is the decoding interface: it is used when the Flyte type engine converts a Flyte Literal into a Python value. For the other direction, see DataFrameEncoder.

Properties

Property	Type	Description
`protocol`	`Optional[str]`
`python_type`	`Type[DF]`
`supported_format`	`str`

Methods

Method	Description
`decode()`	This is code that will be called by the dataset transformer engine to ultimately translate from a Flyte Literal value into a Python instance.

decode()

        
    
def decode(
    flyte_value: flyteidl2.core.literals_pb2.StructuredDataset,
    current_task_metadata: flyteidl2.core.literals_pb2.StructuredDatasetMetadata,
) -> pl.LazyFrame

This is code that will be called by the dataset transformer engine to ultimately translate from a Flyte Literal value into a Python instance.

Parameter	Type	Description
`flyte_value`	`flyteidl2.core.literals_pb2.StructuredDataset`	This will be a Flyte IDL DataFrame Literal - do not confuse this with the DataFrame class defined also in this module.
`current_task_metadata`	`flyteidl2.core.literals_pb2.StructuredDatasetMetadata`	Metadata object containing the type (and columns if any) for the currently executing task. This type may have more or less information than the type information bundled inside the incoming flyte_value.

Returns

This function can either return an instance of the dataframe that this decoder handles, or an iterator of those dataframes.