Skip to main content

Python client for the Okera Data Access Service

Project description

Python client for RecordService implementations.

Dependencies

Required:

  • Python 3.4+
  • six, bit_array, thriftpy2==0.3.12, urllib3, certifi
pip3 install six bit_array thriftpy2==0.3.12 urllib3 certifi

Optional:

  • pandas for conversion to DataFrame objects

Installation

pip3 install pyokera

To verify:

>>> import okera.odas
>>> okera.odas.version()
'##OKERA_RELEASE_VERSION##'

Usage

from okera import context
ctx = context()
with ctx.connect(host='localhost', port=12050) as conn:
    conn.list_databases()
    pd = conn.scan_as_pandas("okera_sample.sample")
    pd

To enable a connection to a server with token-authentication:

from okera import context
ctx = context()
ctx.enable_token_auth(token_str='my-token')
with ctx.connect(host='localhost', port=12050) as conn:
    conn.list_databases()

To enable a connection to a server with kerberos-authentication:

from okera import context
ctx = context()
# Connecting to server principal 'cerebro/service@REALM'
ctx.enable_kerberos('cerebro', host_override='service')
with ctx.connect(host='localhost', port=12050) as conn:
    conn.list_databases()

Project details


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
pyokera-1.4.0-py3.5.egg (111.2 kB) Copy SHA256 hash SHA256 Egg 3.5
pyokera-1.4.0.tar.gz (66.2 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page