ray.data.read_text#

ray.data.read_text(paths: Union[str, List[str]], *, encoding: str = 'utf-8', drop_empty_lines: bool = True, filesystem: Optional[pyarrow.fs.FileSystem] = None, parallelism: int = - 1, ray_remote_args: Optional[Dict[str, Any]] = None, arrow_open_stream_args: Optional[Dict[str, Any]] = None, meta_provider: Optional[ray.data.datasource.file_meta_provider.BaseFileMetadataProvider] = None, partition_filter: Optional[ray.data.datasource.partitioning.PathPartitionFilter] = None, partitioning: ray.data.datasource.partitioning.Partitioning = None, ignore_missing_paths: bool = False, shuffle: Optional[Literal['files']] = None) → ray.data.dataset.Dataset[source]#

Create a Dataset from lines stored in text files.

Examples

Read a file in remote storage.

>>> import ray
>>> ds = ray.data.read_text("s3://anonymous@ray-example-data/this.txt")
>>> ds.schema()
Column  Type
------  ----
text    string

Read multiple local files.

>>> ray.data.read_text( 
...    ["local:///path/to/file1", "local:///path/to/file2"])
Parameters

  • paths – A single file or directory, or a list of file or directory paths. A list of paths can contain both files and directories.

  • encoding – The encoding of the files (e.g., “utf-8” or “ascii”).

  • filesystem – The PyArrow filesystem implementation to read from. These filesystems are specified in the PyArrow docs. Specify this parameter if you need to provide specific configurations to the filesystem. By default, the filesystem is automatically selected based on the scheme of the paths. For example, if the path begins with s3://, the S3FileSystem is used.

  • parallelism – The amount of parallelism to use for the dataset. Defaults to -1, which automatically determines the optimal parallelism for your configuration. You should not need to manually set this value in most cases. For details on how the parallelism is automatically determined and guidance on how to tune it, see Tuning read parallelism. Parallelism is upper bounded by the total number of lines in all the text files.

  • ray_remote_args – kwargs passed to remote() in the read tasks and in the subsequent text decoding map task.

  • arrow_open_stream_args – kwargs passed to pyarrow.fs.FileSystem.open_input_file. when opening input files to read.

  • meta_provider – A file metadata provider. Custom metadata providers may be able to resolve file metadata more quickly and/or accurately. In most cases, you do not need to set this. If None, this function uses a system-chosen implementation.

  • partition_filter – A PathPartitionFilter. Use with a custom callback to read only selected partitions of a dataset. By default, no files are filtered. To filter out all file paths except those whose file extension matches e.g., “.txt”, you can provide a FileExtensionFilter.

  • partitioning – A Partitioning object that describes how paths are organized. Defaults to None.

  • ignore_missing_paths – If True, ignores any file paths in paths that are not found. Defaults to False.

  • shuffle – If setting to “files”, randomly shuffle input files order before read. Defaults to not shuffle with None.

Returns

Dataset producing lines of text read from the specified paths.