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HdfsCLI: API and command line interface for HDFS.

Project description

# HdfsCLI [![Build badge](]( [![Pypi badge](]( [![Downloads badge](](

API and command line interface for HDFS.

$ hdfscli --alias=dev

Welcome to the interactive HDFS python shell.
The HDFS client is available as `CLIENT`.

In [1]: CLIENT.list('models/')
Out[1]: ['1.json', '2.json']

In [2]: CLIENT.status('models/2.json')
Out[2]: {
'accessTime': 1439743128690,
'blockSize': 134217728,
'childrenNum': 0,
'fileId': 16389,
'group': 'supergroup',
'length': 48,
'modificationTime': 1439743129392,
'owner': 'drwho',
'pathSuffix': '',
'permission': '755',
'replication': 1,
'storagePolicy': 0,
'type': 'FILE'

In [3]: with'models/2.json', encoding='utf-8') as reader:
...: from json import load
...: model = load(reader)

## Features

* Python (2 and 3) bindings for the [WebHDFS][] (and [HttpFS][]) API,
supporting both secure and insecure clusters.
* Command line interface to transfer files and start an interactive client
shell, with aliases for convenient namenode URL caching.
* Additional functionality through optional extensions:

+ `avro`, to [read and write Avro files directly from HDFS][].
+ `dataframe`, to [load and save Pandas dataframes][].
+ `kerberos`, to [support Kerberos authenticated clusters][].

See the [documentation][] to learn more.

## Getting started

$ pip install hdfs

Then hop on over to the [quickstart][] guide. A [Conda
feedstock]( is also

## Testing

HdfsCLI is tested against both [WebHDFS][] and [HttpFS][]. There are two ways
of running tests (see `scripts/` for helpers to set up a test HDFS cluster):

$ HDFSCLI_TEST_URL=http://localhost:50070 nosetests # Using a namenode's URL.
$ HDFSCLI_TEST_ALIAS=dev nosetests # Using an alias.

## Contributing

We'd love to hear what you think on the [issues][] page. Pull requests are also
most welcome!

[read and write Avro files directly from HDFS]:
[load and save Pandas dataframes]:
[support Kerberos authenticated clusters]:

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