Features

• Python 2/3 compatibility,

• Support for all rest API calls inluding profiles/options/metrics docs with full list.

• Mapping Results to internal python types,

• Compatibility with Pandas data frame,

• Drill Authentication using PAM,

Installation

Version from https://pypi.python.org/pypi/pydrill:

$ pip install pydrill

Latest version from git:

$ pip install git+git://github.com/PythonicNinja/pydrill.git

Sample usage

from pydrill.client import PyDrill

drill = PyDrill(host='localhost', port=8047)

if not drill.is_active():
    raise ImproperlyConfigured('Please run Drill first')

yelp_reviews = drill.query('''
  SELECT * FROM
  `dfs.root`.`./Users/macbookair/Downloads/yelp_dataset_challenge_academic_dataset/yelp_academic_dataset_review.json`
  LIMIT 5
''')

for result in yelp_reviews:
    print("%s: %s" %(result['type'], result['date']))


# pandas dataframe

df = yelp_reviews.to_dataframe()
print(df[df['stars'] > 3])

0.3.4 (2017-04-24)

• Updated pypi listing long_description

0.3.3 (2017-04-24)

• Fix pypi installation

0.3.2 (2017-04-18)

• Support for dtype on to_dataframe

0.3.1 (2017-03-06)

• Support for Drill Authentication using PAM

0.3 (2017-02-15)

• requests response encoding (utf-8)

• support Python 3.6 support

0.1.1 (2016-05-21)

• Anaconda requirements fixed

0.1.0 (2016-05-19)

• First minor release

• Updated docs

0.0.2 (2016-04-24)

• First release on PyPI.

• Implementation of metrics/storage/options/stats

• Builds are tested by docker container with Apache Drill running

• support for pandas with ResultQuery.to_dataframe

0.0.1 (2015-12-28)

• Project start