Add documentation on how to connect to H2O cluster by Name

[exalate-issue-sync]

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[exalate-issue-sync]

Wendy Wong commented: Please add this from Megan:

Hi Sateesh,

Here is how you can connect through the name in a programmatic way:

Script 1

Start a cluster and save the cluster information.

{noformat}# Create cluster called 'second-cluster'
cluster_name = 'second-cluster'
import h2o
h2o.init(name=cluster_name)

import json
def save_cluster_details(cluster):
    cluster_details = cluster.get_status().as_data_frame().iloc[0]
    name = cluster_details.H2O_cluster_name
    url = cluster_details.H2O_connection_url
    
    file_path = '{}.json'.format(name)
    with open(file_path, 'w') as fp:
        json.dump(url, fp)

    return file_path

save_cluster_details(h2o.cluster())
'second-cluster.json'{noformat}

Script 2

Connect to cluster by importing the cluster details that were saved.

{noformat}import h2o
import json

cluster_name = 'second-cluster'

Load the url

with open('{}.json'.format(cluster_name), 'r') as fp:
    url = json.load(fp)

connect via the url

h2o.connect(url=url){noformat}

Essentially what is happening is that we are saving the connection details where the file name is the cluster name. The connection details are then programmatically picked up by the cluster name.

Let me know if this would work for your scenario.  

Thanks!

Megan

[wendycwong]

Done.

[h2o-ops]

JIRA Issue Details

Jira Issue: PUBDEV-8990
Assignee: hannah.tillman
Reporter: Wendy Wong
State: Resolved
Fix Version: 3.40.0.2
Attachments: N/A
Development PRs: Available

[h2o-ops]

Linked PRs from JIRA

#6488