Skip to main content

Pure Python HDFS client

Project description

Because the world needs yet another way to talk to HDFS from Python.

Usage

This library provides a Python client for WebHDFS. NameNode HA is supported by passing in both NameNodes. Responses are returned as nice Python classes, and any failed operation will raise some subclass of HdfsException matching the Java exception.

Example usage:

>>> fs = pyhdfs.HdfsClient(hosts='nn1.example.com:50070,nn2.example.com:50070', user_name='someone')
>>> fs.list_status('/')
[FileStatus(pathSuffix='benchmarks', permission='777', type='DIRECTORY', ...), FileStatus(...), ...]
>>> fs.listdir('/')
['benchmarks', 'hbase', 'solr', 'tmp', 'user', 'var']
>>> fs.mkdirs('/fruit/x/y')
True
>>> fs.create('/fruit/apple', 'delicious')
>>> fs.append('/fruit/apple', ' food')
>>> with contextlib.closing(fs.open('/fruit/apple')) as f:
...     f.read()
...
b'delicious food'
>>> fs.get_file_status('/fruit/apple')
FileStatus(length=14, owner='someone', type='FILE', ...)
>>> fs.get_file_status('/fruit/apple').owner
'someone'
>>> fs.get_content_summary('/fruit')
ContentSummary(directoryCount=3, fileCount=1, length=14, quota=-1, spaceConsumed=14, spaceQuota=-1)
>>> list(fs.walk('/fruit'))
[('/fruit', ['x'], ['apple']), ('/fruit/x', ['y'], []), ('/fruit/x/y', [], [])]
>>> fs.exists('/fruit/apple')
True
>>> fs.delete('/fruit')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File ".../pyhdfs.py", line 525, in delete
  ...
pyhdfs.HdfsPathIsNotEmptyDirectoryException: `/fruit is non empty': Directory is not empty
>>> fs.delete('/fruit', recursive=True)
True
>>> fs.exists('/fruit/apple')
False
>>> issubclass(pyhdfs.HdfsFileNotFoundException, pyhdfs.HdfsIOException)
True

The methods and return values generally map directly to WebHDFS endpoints. The client also provides convenience methods that mimic Python os methods and HDFS CLI commands (e.g. walk and copy_to_local).

pyhdfs logs all HDFS actions at the INFO level, so turning on INFO level logging will give you a debug record for your application.

For more information, see the full API docs.

Installing

pip install pyhdfs

Python 3 is required.

Development testing

https://github.com/jingw/pyhdfs/workflows/CI/badge.svg http://codecov.io/github/jingw/pyhdfs/coverage.svg?branch=master Documentation Status https://img.shields.io/badge/code%20style-black-000000.svg

First run install-hdfs.sh x.y.z, which will download, extract, and run the HDFS NN/DN processes in the current directory. (Replace x.y.z with a real version.) Then run the following commands. Note they will create and delete hdfs://localhost/tmp/pyhdfs_test.

Commands:

python3 -m venv env
source env/bin/activate
pip install -e .
pip install -r dev_requirements.txt
pytest

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyhdfs-0.4.0.tar.gz (13.3 kB view details)

Uploaded Source

File details

Details for the file pyhdfs-0.4.0.tar.gz.

File metadata

  • Download URL: pyhdfs-0.4.0.tar.gz
  • Upload date:
  • Size: 13.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for pyhdfs-0.4.0.tar.gz
Algorithm Hash digest
SHA256 4922d3d7b874fd06482c70a0a937e4793c8a50d62864b936e4905015211b5714
MD5 c9af6a1d6dd23b8b416d6bd406da1d10
BLAKE2b-256 3fd9a404ce075ce9127e9edf5fc86e164961af54a38b62fd05f06c7c8e68a45b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page