pyarrow.fs.HadoopFileSystem#

class pyarrow.fs.HadoopFileSystem(unicode host, int port=8020, unicode user=None, *, int replication=3, int buffer_size=0, default_block_size=None, kerb_ticket=None, extra_conf=None)#

Bases: FileSystem

HDFS backed FileSystem implementation

Parameters:

hoststr: HDFS host to connect to. Set to “default” for fs.defaultFS from core-site.xml.
portint, default 8020: HDFS port to connect to. Set to 0 for default or logical (HA) nodes.
userstr, default None: Username when connecting to HDFS; None implies login user.
replicationint, default 3: Number of copies each block will have.
buffer_sizeint, default 0: If 0, no buffering will happen otherwise the size of the temporary read and write buffer.
default_block_sizeint, default None: None means the default configuration for HDFS, a typical block size is 128 MB.
kerb_ticketstr or path, default None: If not None, the path to the Kerberos ticket cache.
extra_confdict, default None: Extra key/value pairs for configuration; will override any hdfs-site.xml properties.

Examples

>>> from pyarrow import fs
>>> hdfs = fs.HadoopFileSystem(host, port, user=user, kerb_ticket=ticket_cache_path) 

For usage of the methods see examples for LocalFileSystem().

__init__(*args, **kwargs)#

Methods

`__init__`(args, *kwargs)
`copy_file`(self, src, dest)	Copy a file.
`create_dir`(self, path, *, bool recursive=True)	Create a directory and subdirectories.
`delete_dir`(self, path)	Delete a directory and its contents, recursively.
`delete_dir_contents`(self, path, *, ...)	Delete a directory's contents, recursively.
`delete_file`(self, path)	Delete a file.
`equals`(self, FileSystem other)	Parameters:
`from_uri`(uri)	Instantiate HadoopFileSystem object from an URI string.
`get_file_info`(self, paths_or_selector)	Get info for the given files.
`move`(self, src, dest)	Move / rename a file or directory.
`normalize_path`(self, path)	Normalize filesystem path.
`open_append_stream`(self, path[, ...])	Open an output stream for appending.
`open_input_file`(self, path)	Open an input file for random access reading.
`open_input_stream`(self, path[, compression, ...])	Open an input stream for sequential reading.
`open_output_stream`(self, path[, ...])	Open an output stream for sequential writing.

Attributes

type_name

The filesystem's type name.

copy_file(self, src, dest)#

Copy a file.

If the destination exists and is a directory, an error is returned. Otherwise, it is replaced.

Parameters:

srcstr: The path of the file to be copied from.
deststr: The destination path where the file is copied to.

Examples

>>> local.copy_file(path,
...                 local_path + '/pyarrow-fs-example_copy.dat')

Inspect the file info:

>>> local.get_file_info(local_path + '/pyarrow-fs-example_copy.dat')
<FileInfo for '/.../pyarrow-fs-example_copy.dat': type=FileType.File, size=4>
>>> local.get_file_info(path)
<FileInfo for '/.../pyarrow-fs-example.dat': type=FileType.File, size=4>

create_dir(self, path, *, bool recursive=True)#

Create a directory and subdirectories.

This function succeeds if the directory already exists.

Parameters:

pathstr: The path of the new directory.
recursivebool, default True: Create nested directories as well.

delete_dir(self, path)#

Delete a directory and its contents, recursively.

Parameters:

pathstr: The path of the directory to be deleted.

delete_dir_contents(self, path, *, bool accept_root_dir=False, bool missing_dir_ok=False)#

Delete a directory’s contents, recursively.

Like delete_dir, but doesn’t delete the directory itself.

Parameters:

pathstr: The path of the directory to be deleted.
accept_root_dirbool, default False: Allow deleting the root directory’s contents (if path is empty or “/”)
missing_dir_okbool, default False: If False then an error is raised if path does not exist

delete_file(self, path)#

Delete a file.

Parameters:

pathstr: The path of the file to be deleted.

equals(self, FileSystem other)#

Parameters:

otherpyarrow.fs.FileSystem

Returns:

bool

static from_uri(uri)#

Instantiate HadoopFileSystem object from an URI string.

The following two calls are equivalent

HadoopFileSystem.from_uri('hdfs://localhost:8020/?user=test&replication=1')
HadoopFileSystem('localhost', port=8020, user='test', replication=1)

Parameters:

uristr: A string URI describing the connection to HDFS. In order to change the user, replication, buffer_size or default_block_size pass the values as query parts.

Returns:

HadoopFileSystem

get_file_info(self, paths_or_selector)#

Get info for the given files.

Any symlink is automatically dereferenced, recursively. A non-existing or unreachable file returns a FileStat object and has a FileType of value NotFound. An exception indicates a truly exceptional condition (low-level I/O error, etc.).

Parameters:

paths_or_selectorFileSelector, path-like or list of path-likes: Either a selector object, a path-like object or a list of path-like objects. The selector’s base directory will not be part of the results, even if it exists. If it doesn’t exist, use allow_not_found.

Returns:

FileInfo or list of FileInfo: Single FileInfo object is returned for a single path, otherwise a list of FileInfo objects is returned.

Examples

>>> local
<pyarrow._fs.LocalFileSystem object at ...>
>>> local.get_file_info("/{}/pyarrow-fs-example.dat".format(local_path))
<FileInfo for '/.../pyarrow-fs-example.dat': type=FileType.File, size=4>

move(self, src, dest)#

Move / rename a file or directory.

If the destination exists: - if it is a non-empty directory, an error is returned - otherwise, if it has the same type as the source, it is replaced - otherwise, behavior is unspecified (implementation-dependent).

Parameters:

srcstr: The path of the file or the directory to be moved.
deststr: The destination path where the file or directory is moved to.

Examples

Create a new folder with a file:

>>> local.create_dir('/tmp/other_dir')
>>> local.copy_file(path,'/tmp/move_example.dat')

Move the file:

>>> local.move('/tmp/move_example.dat',
...            '/tmp/other_dir/move_example_2.dat')

Inspect the file info:

>>> local.get_file_info('/tmp/other_dir/move_example_2.dat')
<FileInfo for '/tmp/other_dir/move_example_2.dat': type=FileType.File, size=4>
>>> local.get_file_info('/tmp/move_example.dat')
<FileInfo for '/tmp/move_example.dat': type=FileType.NotFound>

Delete the folder: >>> local.delete_dir(‘/tmp/other_dir’)

normalize_path(self, path)#

Normalize filesystem path.

Parameters:

pathstr: The path to normalize

Returns:

normalized_pathstr: The normalized path

open_append_stream(self, path, compression='detect', buffer_size=None, metadata=None)#

Open an output stream for appending.

If the target doesn’t exist, a new empty file is created.

Note

Some filesystem implementations do not support efficient appending to an existing file, in which case this method will raise NotImplementedError. Consider writing to multiple files (using e.g. the dataset layer) instead.

Parameters:

pathstr: The source to open for writing.
compressionstr optional, default ‘detect’: The compression algorithm to use for on-the-fly compression. If “detect” and source is a file path, then compression will be chosen based on the file extension. If None, no compression will be applied. Otherwise, a well-known algorithm name must be supplied (e.g. “gzip”).
buffer_sizeint optional, default None: If None or 0, no buffering will happen. Otherwise the size of the temporary write buffer.
metadatadict optional, default None: If not None, a mapping of string keys to string values. Some filesystems support storing metadata along the file (such as “Content-Type”). Unsupported metadata keys will be ignored.

Returns:

streamNativeFile

Examples

Append new data to a FileSystem subclass with nonempty file:

>>> with local.open_append_stream(path) as f:
...     f.write(b'+newly added')
12

Print out the content to the file:

>>> with local.open_input_file(path) as f:
...     print(f.readall())
b'data+newly added'

open_input_file(self, path)#

Open an input file for random access reading.

Parameters:

pathstr: The source to open for reading.

Returns:

streamNativeFile

Examples

Print the data from the file with open_input_file():

>>> with local.open_input_file(path) as f:
...     print(f.readall())
b'data'

open_input_stream(self, path, compression='detect', buffer_size=None)#

Open an input stream for sequential reading.

Parameters:

pathstr: The source to open for reading.
compressionstr optional, default ‘detect’: The compression algorithm to use for on-the-fly decompression. If “detect” and source is a file path, then compression will be chosen based on the file extension. If None, no compression will be applied. Otherwise, a well-known algorithm name must be supplied (e.g. “gzip”).
buffer_sizeint optional, default None: If None or 0, no buffering will happen. Otherwise the size of the temporary read buffer.

Returns:

streamNativeFile

Examples

Print the data from the file with open_input_stream():

>>> with local.open_input_stream(path) as f:
...     print(f.readall())
b'data'

open_output_stream(self, path, compression='detect', buffer_size=None, metadata=None)#

Open an output stream for sequential writing.

If the target already exists, existing data is truncated.

Parameters:

pathstr: The source to open for writing.
compressionstr optional, default ‘detect’: The compression algorithm to use for on-the-fly compression. If “detect” and source is a file path, then compression will be chosen based on the file extension. If None, no compression will be applied. Otherwise, a well-known algorithm name must be supplied (e.g. “gzip”).
buffer_sizeint optional, default None: If None or 0, no buffering will happen. Otherwise the size of the temporary write buffer.
metadatadict optional, default None: If not None, a mapping of string keys to string values. Some filesystems support storing metadata along the file (such as “Content-Type”). Unsupported metadata keys will be ignored.

Returns:

streamNativeFile

Examples

>>> local = fs.LocalFileSystem()
>>> with local.open_output_stream(path) as stream:
...     stream.write(b'data')
4

type_name#: The filesystem’s type name.