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Python client for the Okera Data Access Service

Project description

Python client for RecordService implementations.

Dependencies

Required:

  • Python 3.4+

  • six, bit_array, thriftpy2, urllib3, certifi

pip3 install six bit_array thriftpy2 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


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