Connecting to Couchbase¶
Anaconda Enterprise enables you to connect to a Couchbase NoSQL database from within your notebook sessions.
To do so, you’ll need to do the following to install the essential elements required to connect to a Couchbase server:
Download the release RPM from Couchbase to set up the Couchbase repository:
wget http://packages.couchbase.com/releases/couchbase-release/couchbase-release-1.0-4-x86_64.rpm
Install the RPM using yum:
sudo yum localinstall couchbase-release-1.0-4-x86_64.rpm -y
Install the packages required to install the pip package:
sudo yum install libcouchbase-devel libcouchbase2-bin gcc gcc-c++ -y
Install the pip package:
pip install couchbase
NOTE: Any packages you install from the command line are available during the current session only. If you want them to persist, add them to the project’s anaconda-project.yml
file. For more information, see Developing a project.
You can then use code such as this to import the modules and connect to Couchbase from within a notebook session:
# Import the modules
from couchbase.cluster import Cluster
from couchbase.cluster import PasswordAuthenticator
import json
"""
Get credentials from Kubernetes. The credentials were set up as a dictionary. For example:
{
"username": "USERNAME",
"password": "PASSWORD"
}
"""
credentials = None
with open('/var/run/secrets/user_credentials/couchbase_credentials') as f:
credentials = json.load(f)
# Verify the credentials were pulled correctly
if credentials:
# Try the connection and pass in authentication details
bucket = None
try:
cluster = Cluster(f"couchbase://{credentials.get('hostname')}")
cluster.authenticate(
PasswordAuthenticator(
credentials.get('username'),
credentials.get('password')
)
)
bucket = cluster.open_bucket('beer-sample')
except Exception as e:
print(f'There was an error connecting to the bucket: {e}')
# Confirm the bucket is connected
if bucket and bucket.connected:
# Get a value from the bucket by index and print out the result
print(json.dumps(bucket.get('21st_amendment_brewery_cafe').value, indent=4))
# Close connection
bucket._close()