`pydoop.hdfs` — HDFS API¶

This module allows you to connect to an HDFS installation, read and write files and get information on files, directories and global filesystem properties.

Configuration¶

The hdfs module is built on top of libhdfs, in turn a JNI wrapper around the Java fs code: therefore, for the module to work properly, the CLASSPATH environment variable must include all paths to the relevant Hadoop jars. Pydoop will do this for you, but it needs to know where your Hadoop installation is located and what is your hadoop configuration directory: if Pydoop is not able to automatically find these directories, you have to make sure that the HADOOP_HOME and HADOOP_CONF_DIR environment variables are set to the appropriate values.

Another important environment variable for this module is LIBHDFS_OPTS. This is used to set options for the JVM on top of which the module runs, most notably the amount of memory it uses. If LIBHDFS_OPTS is not set, the C libhdfs will let it fall back to the default for your system, typically 1 GB. According to our experience, this is much more than most applications need and adds a lot of unnecessary memory overhead. For this reason, the hdfs module sets LIBHDFS_OPTS to -Xmx48m, a value that we found to be appropriate for most applications. If your needs are different, you can set the environment variable externally and it will override the above setting.

class pydoop.hdfs.hdfs(host='default', port=0, user=None, groups=None)¶

A handle to an HDFS instance.

Parameters:

host (str) – hostname or IP address of the HDFS NameNode. Set to an empty string (and port to 0) to connect to the local file system; set to 'default' (and port to 0) to connect to the default (i.e., the one defined in the Hadoop configuration files) file system.
port (int) – the port on which the NameNode is listening
user (str) – the Hadoop domain user name. Defaults to the current UNIX user. Note that, in MapReduce applications, since tasks are spawned by the JobTracker, the default user will be the one that started the JobTracker itself.
groups (list) – ignored. Included for backwards compatibility.

Note: when connecting to the local file system, user is ignored (i.e., it will always be the current UNIX user).

capacity()¶

Return the raw capacity of the filesystem.

Return type:	int
Returns:	filesystem capacity

chmod(path, mode)¶

Change file mode bits.

Parameters:	path (str) – the path to the file or directory mode (int) – the bitmask to set it to (e.g., 0777)
Raises:	`IOError`

chown(path, user='', group='')¶

Change file owner and group.

Parameters:	path (str) – the path to the file or directory user (str) – Hadoop username. Set to ‘’ if only setting group group (str) – Hadoop group name. Set to ‘’ if only setting user
Raises:	`IOError`

close()¶: Close the HDFS handle (disconnect).

copy(from_path, to_hdfs, to_path)¶

Copy file from one filesystem to another.

Parameters:	from_path (str) – the path of the source file to_hdfs (`hdfs`) – destination filesystem to_path (str) – the path of the destination file
Raises:	`IOError`

create_directory(path)¶

Create directory path (non-existent parents will be created as well).

Parameters:	path (str) – the path of the directory
Raises:	`IOError`

default_block_size()¶

Get the default block size.

Return type:	int
Returns:	the default blocksize

delete(path, recursive=True)¶

Delete path.

Parameters:	path (str) – the path of the file or directory recursive (bool) – if `path` is a directory, delete it recursively when `True`
Raises:	`IOError` when `recursive` is `False` and directory is non-empty

exists(path)¶

Check if a given path exists on the filesystem.

Parameters:	path (str) – the path to look for
Return type:	bool
Returns:	`True` if `path` exists

get_hosts(path, start, length)¶

Get hostnames where a particular block (determined by pos and blocksize) of a file is stored. Due to replication, a single block could be present on multiple hosts.

Parameters:	path (str) – the path of the file start (int) – the start of the block length (int) – the length of the block
Return type:	list
Returns:	list of hosts that store the block

get_path_info(path)¶

Get information about path as a dict of properties.

The return value, based upon fs.FileStatus from the Java API, has the following fields:

block_size: HDFS block size of path
group: group associated with path
kind: 'file' or 'directory'
last_access: last access time of path
last_mod: last modification time of path
name: fully qualified path name
owner: owner of path
permissions: file system permissions associated with path
replication: replication factor of path
size: size in bytes of path

Parameters:	path (str) – a path in the filesystem
Return type:	dict
Returns:	path information
Raises:	`IOError`

host¶: The actual hdfs hostname (empty string for the local fs).

list_directory(path)¶

Get list of files and directories for path.

Parameters:	path (str) – the path of the directory
Return type:	list
Returns:	list of files and directories in `path`
Raises:	`IOError`

move(from_path, to_hdfs, to_path)¶

Move file from one filesystem to another.

Parameters:	from_path (str) – the path of the source file to_hdfs – destination filesystem to_path (str) – the path of the destination file
Raises:	`IOError`

open_file(path, mode='r', buff_size=0, replication=0, blocksize=0, encoding=None, errors=None)¶

Open an HDFS file.

Supported opening modes are “r”, “w”, “a”. In addition, a trailing “t” can be added to specify text mode (e.g., “rt” = open for reading text).

Pass 0 as buff_size, replication or blocksize if you want to use the “configured” values, i.e., the ones set in the Hadoop configuration files.

Parameters:	path (str) – the full path to the file mode (str) – opening mode buff_size (int) – read/write buffer size in bytes replication (int) – HDFS block replication blocksize (int) – HDFS block size
Rtpye:	`hdfs_file`
Returns:	handle to the open file

port¶: The actual hdfs port (0 for the local fs).

rename(from_path, to_path)¶

Rename file.

Parameters:	from_path (str) – the path of the source file to_path (str) – the path of the destination file
Raises:	`IOError`

set_replication(path, replication)¶

Set the replication of path to replication.

Parameters:	path (str) – the path of the file replication (int) – the replication value
Raises:	`IOError`

set_working_directory(path)¶

Set the working directory to path. All relative paths will be resolved relative to it.

Parameters:	path (str) – the path of the directory
Raises:	`IOError`

used()¶

Return the total raw size of all files in the filesystem.

Return type:	int
Returns:	total size of files in the file system

user¶: The user associated with this HDFS connection.

utime(path, mtime, atime)¶

Change file last access and modification times.

Parameters:	path (str) – the path to the file or directory mtime (int) – new modification time in seconds atime (int) – new access time in seconds
Raises:	`IOError`

walk(top)¶

Generate infos for all paths in the tree rooted at top (included).

The top parameter can be either an HDFS path string or a dictionary of properties as returned by get_path_info().

Parameters:	top (str, dict) – an HDFS path or path info dict
Return type:	iterator
Returns:	path infos of files and directories in the tree rooted at `top`
Raises:	`IOError`; `ValueError` if `top` is empty

working_directory()¶

Get the current working directory.

Return type:	str
Returns:	current working directory

pydoop.hdfs.default_is_local(hadoop_conf=None, hadoop_home=None)¶

Is Hadoop configured to use the local file system?

By default, it is. A DFS must be explicitly configured.

pydoop.hdfs.open(hdfs_path, mode='r', buff_size=0, replication=0, blocksize=0, user=None, encoding=None, errors=None)¶

Open a file, returning an hdfs_file object.

hdfs_path and user are passed to split(), while the other args are passed to the hdfs_file constructor.

pydoop.hdfs.dump(data, hdfs_path, **kwargs)¶

Write data to hdfs_path.

Keyword arguments are passed to open(), except for mode, which is forced to "w" (or "wt" for text data).

pydoop.hdfs.load(hdfs_path, **kwargs)¶

Read the content of hdfs_path and return it.

Keyword arguments are passed to open(). The “mode” kwarg must be readonly.

pydoop.hdfs.cp(src_hdfs_path, dest_hdfs_path, **kwargs)¶

Copy the contents of src_hdfs_path to dest_hdfs_path.

If src_hdfs_path is a directory, its contents will be copied recursively. Source file(s) are opened for reading and copies are opened for writing. Additional keyword arguments, if any, are handled like in open().

pydoop.hdfs.put(src_path, dest_hdfs_path, **kwargs)¶

Copy the contents of src_path to dest_hdfs_path.

src_path is forced to be interpreted as an ordinary local path (see abspath()). The source file is opened for reading and the copy is opened for writing. Additional keyword arguments, if any, are handled like in open().

pydoop.hdfs.get(src_hdfs_path, dest_path, **kwargs)¶

Copy the contents of src_hdfs_path to dest_path.

dest_path is forced to be interpreted as an ordinary local path (see abspath()). The source file is opened for reading and the copy is opened for writing. Additional keyword arguments, if any, are handled like in open().

pydoop.hdfs.mkdir(hdfs_path, user=None)¶: Create a directory and its parents as needed.

pydoop.hdfs.rmr(hdfs_path, user=None)¶: Recursively remove files and directories.

pydoop.hdfs.lsl(hdfs_path, user=None, recursive=False)¶

Return a list of dictionaries of file properties.

If hdfs_path is a file, there is only one item corresponding to the file itself; if it is a directory and recursive is False, each list item corresponds to a file or directory contained by it; if it is a directory and recursive is True, the list contains one item for every file or directory in the tree rooted at hdfs_path.

pydoop.hdfs.ls(hdfs_path, user=None, recursive=False)¶

Return a list of hdfs paths.

Works in the same way as lsl(), except for the fact that list items are hdfs paths instead of dictionaries of properties.

pydoop.hdfs.chmod(hdfs_path, mode, user=None)¶

Change file mode bits.

Parameters:	path (string) – the path to the file or directory mode (int) – the bitmask to set it to (e.g., 0777)

pydoop.hdfs.move(src, dest, user=None)¶: Move or rename src to dest.

pydoop.hdfs.chown(hdfs_path, user=None, group=None, hdfs_user=None)¶: See fs.hdfs.chown().

pydoop.hdfs.rename(from_path, to_path, user=None)¶: See fs.hdfs.rename().

pydoop.hdfs.renames(from_path, to_path, user=None)¶: Rename from_path to to_path, creating parents as needed.

pydoop.hdfs.stat(path, user=None)¶: Performs the equivalent of os.stat() on path, returning a StatResult object.

pydoop.hdfs.access(path, mode, user=None)¶: Perform the equivalent of os.access() on path.

pydoop.hdfs.path – Path Name Manipulations¶

class pydoop.hdfs.path.StatResult(path_info)¶

Mimics the object type returned by os.stat().

Objects of this class are instantiated from dictionaries with the same structure as the ones returned by get_path_info().

Attributes starting with st_ have the same meaning as the corresponding ones in the object returned by os.stat(), although some of them may not make sense for an HDFS path (in this case, their value will be set to 0). In addition, the kind, name and replication attributes are available, with the same values as in the input dict.

pydoop.hdfs.path.abspath(hdfs_path, user=None, local=False)¶

Return an absolute path for hdfs_path.

The user arg is passed to split(). The local argument forces hdfs_path to be interpreted as an ordinary local path:

>>> import os
>>> os.chdir('/tmp')
>>> import pydoop.hdfs.path as hpath
>>> hpath.abspath('file:/tmp')
'file:/tmp'
>>> hpath.abspath('file:/tmp', local=True)
'file:/tmp/file:/tmp'

Note that this function always return a full URI:

>>> import pydoop.hdfs.path as hpath
>>> hpath.abspath('/tmp')
'hdfs://localhost:9000/tmp'

pydoop.hdfs.path.access(path, mode, user=None)¶: Perform the equivalent of os.access() on path.

pydoop.hdfs.path.basename(hdfs_path)¶: Return the final component of hdfs_path.

pydoop.hdfs.path.dirname(hdfs_path)¶: Return the directory component of hdfs_path.

pydoop.hdfs.path.exists(hdfs_path, user=None)¶: Return True if hdfs_path exists in the default HDFS.

pydoop.hdfs.path.expanduser(path)¶

Replace initial ~ or ~user with the user’s home directory.

NOTE: if the default file system is HDFS, the ~user form is expanded regardless of the user’s existence.

pydoop.hdfs.path.expandvars(path)¶: Expand environment variables in path.

pydoop.hdfs.path.getatime(path, user=None)¶: Get time of last access of path.

pydoop.hdfs.path.getctime(path, user=None)¶: Get time of creation / last metadata change of path.

pydoop.hdfs.path.getmtime(path, user=None)¶: Get time of last modification of path.

pydoop.hdfs.path.getsize(path, user=None)¶: Get size, in bytes, of path.

pydoop.hdfs.path.isabs(path)¶

Return True if path is absolute.

A path is absolute if it is a full URI (see isfull()) or starts with a forward slash. No check is made to determine whether path is a valid HDFS path.

pydoop.hdfs.path.isdir(path, user=None)¶: Return True if path refers to a directory.

pydoop.hdfs.path.isfile(path, user=None)¶: Return True if path refers to a file.

pydoop.hdfs.path.isfull(path)¶

Return True if path is a full URI (starts with a scheme followed by a colon).

No check is made to determine whether path is a valid HDFS path.

pydoop.hdfs.path.islink(path, user=None)¶

Return True if path is a symbolic link.

Currently this function always returns False for non-local paths.

pydoop.hdfs.path.ismount(path)¶

Return True if path is a mount point.

This function always returns False for non-local paths.

pydoop.hdfs.path.join(*parts)¶

Join path name components, inserting / as needed.

If any component is an absolute path (see isabs()), all previous components will be discarded. However, full URIs (see isfull()) take precedence over incomplete ones:

>>> import pydoop.hdfs.path as hpath
>>> hpath.join('bar', '/foo')
'/foo'
>>> hpath.join('hdfs://host:1/', '/foo')
'hdfs://host:1/foo'

Note that this is not the reverse of split(), but rather a specialized version of os.path.join(). No check is made to determine whether the returned string is a valid HDFS path.

pydoop.hdfs.path.kind(path, user=None)¶

Get the kind of item (“file” or “directory”) that the path references.

Return None if path doesn’t exist.

pydoop.hdfs.path.normpath(path)¶: Normalize path, collapsing redundant separators and up-level refs.

pydoop.hdfs.path.parse(hdfs_path)¶

Parse the given path and return its components.

Parameters:	hdfs_path (str) – an HDFS path, e.g., `hdfs://localhost:9000/user/me`
Return type:	tuple
Returns:	scheme, netloc, path

pydoop.hdfs.path.realpath(path)¶

Return path with symlinks resolved.

Currently this function returns non-local paths unchanged.

pydoop.hdfs.path.samefile(path1, path2, user=None)¶: Return True if both path arguments refer to the same path.

pydoop.hdfs.path.split(hdfs_path, user=None)¶

Split hdfs_path into a (hostname, port, path) tuple.

Parameters:	hdfs_path (str) – an HDFS path, e.g., `hdfs://localhost:9000/user/me` user (str) – user name used to resolve relative paths, defaults to the current user
Return type:	tuple
Returns:	hostname, port, path

pydoop.hdfs.path.splitext(path)¶: Same as os.path.splitext().

pydoop.hdfs.path.splitpath(hdfs_path)¶: Split hdfs_path into a (head, tail) pair, according to the same rules as os.path.split().

pydoop.hdfs.path.stat(path, user=None)¶: Performs the equivalent of os.stat() on path, returning a StatResult object.

pydoop.hdfs.path.unparse(scheme, netloc, path)¶: Construct a path from its three components (see parse()).

pydoop.hdfs.fs – File System Handles¶

pydoop.hdfs.fs.default_is_local(hadoop_conf=None, hadoop_home=None)¶

Is Hadoop configured to use the local file system?

By default, it is. A DFS must be explicitly configured.

class pydoop.hdfs.fs.hdfs(host='default', port=0, user=None, groups=None)¶

A handle to an HDFS instance.

Parameters:

host (str) – hostname or IP address of the HDFS NameNode. Set to an empty string (and port to 0) to connect to the local file system; set to 'default' (and port to 0) to connect to the default (i.e., the one defined in the Hadoop configuration files) file system.
port (int) – the port on which the NameNode is listening
user (str) – the Hadoop domain user name. Defaults to the current UNIX user. Note that, in MapReduce applications, since tasks are spawned by the JobTracker, the default user will be the one that started the JobTracker itself.
groups (list) – ignored. Included for backwards compatibility.

Note: when connecting to the local file system, user is ignored (i.e., it will always be the current UNIX user).

capacity()¶

Return the raw capacity of the filesystem.

Return type:	int
Returns:	filesystem capacity

chmod(path, mode)¶

Change file mode bits.

Parameters:	path (str) – the path to the file or directory mode (int) – the bitmask to set it to (e.g., 0777)
Raises:	`IOError`

chown(path, user='', group='')¶

Change file owner and group.

Parameters:	path (str) – the path to the file or directory user (str) – Hadoop username. Set to ‘’ if only setting group group (str) – Hadoop group name. Set to ‘’ if only setting user
Raises:	`IOError`

close()¶: Close the HDFS handle (disconnect).

copy(from_path, to_hdfs, to_path)¶

Copy file from one filesystem to another.

Parameters:	from_path (str) – the path of the source file to_hdfs (`hdfs`) – destination filesystem to_path (str) – the path of the destination file
Raises:	`IOError`

create_directory(path)¶

Create directory path (non-existent parents will be created as well).

Parameters:	path (str) – the path of the directory
Raises:	`IOError`

default_block_size()¶

Get the default block size.

Return type:	int
Returns:	the default blocksize

delete(path, recursive=True)¶

Delete path.

Parameters:	path (str) – the path of the file or directory recursive (bool) – if `path` is a directory, delete it recursively when `True`
Raises:	`IOError` when `recursive` is `False` and directory is non-empty

exists(path)¶

Check if a given path exists on the filesystem.

Parameters:	path (str) – the path to look for
Return type:	bool
Returns:	`True` if `path` exists

get_hosts(path, start, length)¶

Get hostnames where a particular block (determined by pos and blocksize) of a file is stored. Due to replication, a single block could be present on multiple hosts.

Parameters:	path (str) – the path of the file start (int) – the start of the block length (int) – the length of the block
Return type:	list
Returns:	list of hosts that store the block

get_path_info(path)¶

Get information about path as a dict of properties.

The return value, based upon fs.FileStatus from the Java API, has the following fields:

block_size: HDFS block size of path
group: group associated with path
kind: 'file' or 'directory'
last_access: last access time of path
last_mod: last modification time of path
name: fully qualified path name
owner: owner of path
permissions: file system permissions associated with path
replication: replication factor of path
size: size in bytes of path

Parameters:	path (str) – a path in the filesystem
Return type:	dict
Returns:	path information
Raises:	`IOError`

host¶: The actual hdfs hostname (empty string for the local fs).

list_directory(path)¶

Get list of files and directories for path.

Parameters:	path (str) – the path of the directory
Return type:	list
Returns:	list of files and directories in `path`
Raises:	`IOError`

move(from_path, to_hdfs, to_path)¶

Move file from one filesystem to another.

Parameters:	from_path (str) – the path of the source file to_hdfs – destination filesystem to_path (str) – the path of the destination file
Raises:	`IOError`

open_file(path, mode='r', buff_size=0, replication=0, blocksize=0, encoding=None, errors=None)¶

Open an HDFS file.

Supported opening modes are “r”, “w”, “a”. In addition, a trailing “t” can be added to specify text mode (e.g., “rt” = open for reading text).

Pass 0 as buff_size, replication or blocksize if you want to use the “configured” values, i.e., the ones set in the Hadoop configuration files.

Parameters:	path (str) – the full path to the file mode (str) – opening mode buff_size (int) – read/write buffer size in bytes replication (int) – HDFS block replication blocksize (int) – HDFS block size
Rtpye:	`hdfs_file`
Returns:	handle to the open file

port¶: The actual hdfs port (0 for the local fs).

rename(from_path, to_path)¶

Rename file.

Parameters:	from_path (str) – the path of the source file to_path (str) – the path of the destination file
Raises:	`IOError`

set_replication(path, replication)¶

Set the replication of path to replication.

Parameters:	path (str) – the path of the file replication (int) – the replication value
Raises:	`IOError`

set_working_directory(path)¶

Set the working directory to path. All relative paths will be resolved relative to it.

Parameters:	path (str) – the path of the directory
Raises:	`IOError`

used()¶

Return the total raw size of all files in the filesystem.

Return type:	int
Returns:	total size of files in the file system

user¶: The user associated with this HDFS connection.

utime(path, mtime, atime)¶

Change file last access and modification times.

Parameters:	path (str) – the path to the file or directory mtime (int) – new modification time in seconds atime (int) – new access time in seconds
Raises:	`IOError`

walk(top)¶

Generate infos for all paths in the tree rooted at top (included).

The top parameter can be either an HDFS path string or a dictionary of properties as returned by get_path_info().

Parameters:	top (str, dict) – an HDFS path or path info dict
Return type:	iterator
Returns:	path infos of files and directories in the tree rooted at `top`
Raises:	`IOError`; `ValueError` if `top` is empty

working_directory()¶

Get the current working directory.

Return type:	str
Returns:	current working directory

pydoop.hdfs.file – HDFS File Objects¶

class pydoop.hdfs.file.FileIO(raw_hdfs_file, fs, mode, encoding=None, errors=None)¶

Instances of this class represent HDFS file objects.

Objects from this class should not be instantiated directly. To open an HDFS file, use open_file(), or the top-level open function in the hdfs package.

available()¶

Number of bytes that can be read from this input stream without blocking.

Return type:	int
Returns:	available bytes

close()¶: Close the file.

flush()¶: Force any buffered output to be written.

fs¶: The file’s hdfs instance.

name¶: The file’s fully qualified name.

next()¶: Return the next input line, or raise StopIteration when EOF is hit.

pread(position, length)¶

Read length bytes of data from the file, starting from position.

Parameters:	position (int) – position from which to read length (int) – the number of bytes to read
Return type:	string
Returns:	the chunk of data read from the file

read(length=-1)¶

Read length bytes from the file. If length is negative or omitted, read all data until EOF.

Parameters:	length (int) – the number of bytes to read
Return type:	string
Returns:	the chunk of data read from the file

readline()¶

Read and return a line of text.

Return type:	str
Returns:	the next line of text in the file, including the newline character

seek(position, whence=0)¶

Seek to position in file.

Parameters:	position (int) – offset in bytes to seek to whence (int) – defaults to `os.SEEK_SET` (absolute); other values are `os.SEEK_CUR` (relative to the current position) and `os.SEEK_END` (relative to the file’s end).

size¶: The file’s size in bytes. This attribute is initialized when the file is opened and updated when it is closed.

tell()¶

Get the current byte offset in the file.

Return type:	int
Returns:	current offset in bytes

write(data)¶

Write data to the file.

Parameters:	data (bytes) – the data to be written to the file
Return type:	int
Returns:	the number of bytes written

class pydoop.hdfs.file.TextIOWrapper¶

class pydoop.hdfs.file.hdfs_file(raw_hdfs_file, fs, mode, encoding=None, errors=None)¶

pread_chunk(position, chunk)¶

Works like pread(), but data is stored in the writable buffer chunk rather than returned. Reads at most a number of bytes equal to the size of chunk.

Parameters:	position (int) – position from which to read chunk (buffer) – a writable object that supports the buffer protocol
Return type:	int
Returns:	the number of bytes read

read_chunk(chunk)¶

Works like read(), but data is stored in the writable buffer chunk rather than returned. Reads at most a number of bytes equal to the size of chunk.

Parameters:	chunk (buffer) – a writable object that supports the buffer protocol
Return type:	int
Returns:	the number of bytes read

class pydoop.hdfs.file.local_file(fs, name, mode)¶

Support class to handle local files.

Objects from this class should not be instantiated directly, but rather obtained through the top-level open function in the hdfs package.

close()¶

Close the file.

A closed file cannot be used for further I/O operations. close() may be called more than once without error.

seek(position, whence=0)¶

Move to new file position and return the file position.

Argument offset is a byte count. Optional argument whence defaults to SEEK_SET or 0 (offset from start of file, offset should be >= 0); other values are SEEK_CUR or 1 (move relative to current position, positive or negative), and SEEK_END or 2 (move relative to end of file, usually negative, although many platforms allow seeking beyond the end of a file).

Note that not all file objects are seekable.

Common hdfs utilities.

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`pydoop.hdfs` — HDFS API¶

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pydoop.hdfs.fs – File System Handles¶

pydoop.hdfs.file – HDFS File Objects¶

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pydoop.hdfs — HDFS API¶

Configuration¶

pydoop.hdfs.path – Path Name Manipulations¶

pydoop.hdfs.fs – File System Handles¶

pydoop.hdfs.file – HDFS File Objects¶

`pydoop.hdfs` — HDFS API¶