ray.data.Datasource

class ray.data.Datasource

Bases: object

Interface for defining a custom ray.data.Dataset datasource.

To read a datasource into a dataset, use ray.data.read_datasource(). To write to a writable datasource, use Dataset.write_datasource().

See RangeDatasource and DummyOutputDatasource for examples of how to implement readable and writable datasources.

Datasource instances must be serializable, since create_reader() and write() are called in remote tasks.

For an example of subclassing Datasource, read Implementing a Custom Datasource.

PublicAPI: This API is stable across Ray releases.

Methods

__init__()
create_reader(**read_args)	Return a Reader for the given read arguments.
do_write(blocks, metadata, ray_remote_args, ...)	Launch Ray tasks for writing blocks out to the datasource.
get_name()	Return a human-readable name for this datasource.
on_write_complete(write_results, **kwargs)	Callback for when a write job completes.
on_write_failed(write_results, error, **kwargs)	Callback for when a write job fails.
prepare_read(parallelism, **read_args)	Deprecated: Please implement create_reader() instead.
write(blocks, **write_args)	Write blocks out to the datasource.