Python client for RecordService implementations.
Dependencies
Required:
Python 3.4+
six, bit_array, thriftpy >=0.3.9
pip3 install six bit_array 'thriftpy>=0.3.9'Optional:
pandas for conversion to DataFrame objects
Installation
pip3 install pycerebroTo verify:
>>> import cerebro.cdas
>>> cerebro.cdas.version()
'0.8.0-beta3'Usage
from cerebro import context
ctx = context()
with ctx.connect(host='localhost', port=12050) as conn:
conn.list_databases()
pd = conn.scan_as_pandas("cerebro_sample.sample")
pdTo enable a connection to a server with token-authentication:
from cerebro 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 cerebro 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()1 maintainer
Metadata
1 maintainer
Release files for pycerebro 0.8.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pycerebro-0.8.3.0.tar.gz | 47.8 kB | Without provenance | Details |
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|---|---|---|---|---|
| pycerebro-0.8.3.0-py3.5.egg | Legacy Egg format | - | - | Details |
Total release size: 108.7 kB
Release files / pycerebro-0.8.3.0.tar.gz
| Download URL | pycerebro-0.8.3.0.tar.gz |
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| Size | 47.8 kB |
| Tags | Source |
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Release files / pycerebro-0.8.3.0-py3.5.egg
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| Size | 60.9 kB |
| Tags | Egg |
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