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Deploy a Cluster through the API

This tutorial manipulates the Public API’s automation configuration to deploy a sharded cluster that is owned by another user. The tutorial first creates a new project, then a new user as owner of the project, and then a sharded cluster owned by the new user. You can create a script to automate these procedures for use in routine operations.

To perform these steps, you must have sufficient access to Cloud Manager. A user with the Project Owner role has sufficient access.

The procedures install a cluster with two shards. Each shard comprises a three-member replica set. The tutorial installs one mongos and three config servers. Each component of the cluster resides on its own server, requiring a total of 10 hosts.

The tutorial installs the MongoDB Agent on each host.

Prerequisites

Provision ten hosts to serve the components of the sharded cluster. For host requirements, see the Production Notes in the MongoDB manual.

Each host must provide its MongoDB Agent with full networking access to the hostnames and ports of the MongoDB Agents on all the other hosts. Each agent runs the command hostname -f to self-identify its hostname and port and report them to Cloud Manager.

Tip

To ensure agents can reach each other, provision the hosts using Automation. This installs the MongoDB Agents with correct network access. Use this tutorial to reinstall the Automations on those machines.

Examples

As you work with the API, you can view examples on the GitHub example page.

Variables for Cluster Creation API Resources

The API resources use one or more of these variables. Replace these variables with your desired values before calling these API resources.

Name	Type	Description
PUBLIC-KEY	string	Your public API Key for your API credentials.
PRIVATE-KEY	string	Your private API Key for your API credentials.
cloud.mongodb.com	string	URL of your Cloud Manager instance.
GROUP-ID	string	Unique identifier of your project from your Project Settings.

Prerequisites

• Configure API Access to enable you to use the API.
• Complete the MongoDB Agent Prerequisites.

Procedures

Create the Group and the User through the API

1

Use the API to create a project.

Use the Public API to send a projects document to create the new project.

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curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
     --header "Content-Type: application/json" \
     --request POST "https://cloud.mongodb.com/api/public/v1.0/groups?pretty=true" \
     --data '
       {
         "name": "{GROUP-NAME}"
       }'

The API returns a document that includes the project’s agentApiKey and id.

2

Record the values of agentApiKey and id in the returned document.

Record these values for use in this procedure and in other procedures in this tutorial.

3

Use the API to create a user in the new project.

Use the /users endpoint to add a user to the new project.

The body of the request should contain a users JSON document with the user’s information.

Set the user’s roles.roleName to GROUP_OWNER and the user’s roles.groupId set to the new group’s‘ id.

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curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
     --header 'Accept: application/json' \
     --header "Content-Type: application/json" \
     --request POST "https://cloud.mongodb.com/api/public/v1.0/users?pretty=true" \
     --data '
       {
          "username": "<new_user@example.com>",
          "emailAddress": "<new_user@example.com>",
          "firstName": "<First>",
          "lastName": "<Last>",
          "password": "<password>",
          "roles": [{
            "groupId": "{PROJECT-ID}",
            "roleName": "GROUP_OWNER"
          }]
       }'

Install the MongoDB Agent on each Provisioned Host

1

Complete the MongoDB Agent installation procedure on each host.

To learn how to install the MongoDB Agent, follow the procedure for the appropriate platform.

2

Confirm the initial state of the automation configuration.

When the MongoDB Agent first runs, it downloads the mms-cluster-config-backup.json file, which describes the desired state of the automation configuration.

On one of the hosts, navigate to /var/lib/mongodb-mms-automation/ and open mms-cluster-config-backup.json. Confirm that the file’s version field is set to 1. Cloud Manager automatically increments this field as changes occur.

Deploy the New Cluster

To add or update a deployment, retrieve the configuration, make changes as needed, and send the updated configuration though the API to Cloud Manager.

The following procedure deploys an updated automation configuration through the API:

1

Retrieve the automation configuration from Cloud Manager.

1. Use the automationConfig resource to retrieve the configuration. Issue the following command, replacing the placeholders with the Variables for Cluster Creation API Resources.

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   curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
        --request GET "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationConfig?pretty=true" \
        --output currentAutomationConfig.json
   

2. Validate the downloaded Automation Configuration file.

   Compare the version field of the currentAutomationConfig.json with that of the Automation Configuration backup file, mms-cluster-config-backup.json. The version value is the last element in both JSON documents. You can find this file on any host running the MongoDB Agent at:

   • Linux and macOS: /var/lib/mongodb-mms-automation/mms-cluster-config-backup.json
   • Windows: %SystemDrive%\MMSAutomation\versions\mms-cluster-config-backup.json

   If the version values match, you are working with the current version of the Automation Configuration file.

2

Create the top level of the new automation configuration.

Create a document with the following fields. As you build the configuration document, refer the description of an automation configuration for detailed explanations of the settings. For examples, see the MongoDB Labs page.

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{
    "options": {
        "downloadBase": "/var/lib/mongodb-mms-automation",
    },
    "mongoDbVersions": [],
    "monitoringVersions": [],
    "backupVersions": [],
    "processes": [],
    "replicaSets": [],
    "sharding": []
}

4

Add the Monitoring to the automation configuration.

In the monitoringVersions.hostname field, enter the hostname of the server where Cloud Manager should install the Monitoring. Use the fully qualified domain name that running hostname -f on the server returns, as in the following:

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"monitoringVersions": [
  {
    "hostname": "<server_x.example.com>",
    "logPath": "/var/log/mongodb-mms-automation/monitoring-agent.log",
    "logRotate": {
      "sizeThresholdMB": 1000,
      "timeThresholdHrs": 24
    }
  }
]

This configuration example also includes the logPath field, which specifies the log location, and logRotate, which specifies the log thresholds.

5

Add the servers to the automation configuration.

This sharded cluster has 10 MongoDB instances, as described in the Deploy a Cluster through the API, each running on its own server. Thus, the automation configuration’s processes array will have 10 documents, one for each MongoDB instance.

The following example adds the first document to the processes array. Replace <process_name_1> with any name you choose, and replace <server1.example.com> with the FQDN of the host.

Add 9 documents: one for each MongoDB instance in your sharded cluster.

Specify the args2_6 syntax for the processes.<args> field. See MongoDB Settings that Automation Supports for more information.

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"processes": [
  {
    "version": "4.0.6",
    "name": "<process_name_1>",
    "hostname": "<server1.example.com>",
    "logRotate": {
      "sizeThresholdMB": 1000,
      "timeThresholdHrs": 24
    },
    "authSchemaVersion": 5,
    "featureCompatibilityVersion": "4.0",
    "processType": "mongod",
    "args2_6": {
      "net": {
        "port": 27017
      },
      "storage": {
        "dbPath": "/data/"
      },
      "systemLog": {
        "path": "/data/mongodb.log",
        "destination": "file"
      },
      "replication": {
        "replSetName": "rs1"
      }
    }
  },
]

6

Add the sharded cluster topology to the automation configuration.

Add two replica set documents to the replicaSets array. Add three members to each document.

Example

This section adds one replica set member to the first replica set document:

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"replicaSets": [
  {
    "_id": "rs1",
    "members": [
      {
        "_id": 0,
        "host": "<process_name_1>",
        "priority": 1,
        "votes": 1,
        "slaveDelay": 0,
        "hidden": false,
        "arbiterOnly": false
      }
    ]
  }
]

In the sharding array, add the replica sets to the shards, and add the config server replica set name, as in the following:

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"sharding": [
  {
    "shards": [
      {
        "tags": [],
        "_id": "shard1",
        "rs": "rs1"
      },
      {
        "tags": [],
        "_id": "shard2",
        "rs": "rs2"
      }
    ],
    "name": "sharded_cluster_via_api",
    "configServerReplica": "rs-config",
    "collections": []
  }
]

7

Send the updated automation configuration.

Use the automationConfig resource to send the updated automation configuration.

Issue the following command, replacing {configuration-document} with path to the updated configuration document and the placeholders with the Variables for Cluster Creation API Resources.

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curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
     --header "Content-Type: application/json"
     --request PUT "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationConfig?pretty=true" \
     --data '
         @{configuration_document}
       '

Upon successful update of the configuration, the API returns the HTTP 200 OK status code to indicate the request has succeeded.

8

Confirm successful update of the automation configuration.

Retrieve the automation configuration from Cloud Manager and confirm it contains the changes. To retrieve the configuration, issue the following command, replacing the placeholders with the Variables for Cluster Creation API Resources.

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curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
     --request GET "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationConfig?pretty=true"

9

Verify that the configuration update is deployed.

Use the automationStatus resource to verify the configuration update is fully deployed. Issue the following command, replacing the value placeholders given in Variables for Cluster Creation API Resources:

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curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
     --request GET "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationStatus?pretty=true"

The curl command returns a JSON object containing the processes array and the goalVersion key and value. The processes array contains a document for each server that hosts a MongoDB instance. The new configuration is successfully deployed when all lastGoalVersionAchieved fields in the processes array equal the value specified for goalVersion.

Example

In this response, processes[2].lastGoalVersionAchieved is behind goalVersion. This indicates that the MongoDB instance at server3.example.com is running one version behind the goalVersion. Wait several seconds and issue the curl command again.

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{
  "goalVersion": 2,
  "processes": [{
    "hostname": "server1.example.com",
    "lastGoalVersionAchieved": 2,
    "name": "ReplSet_0",
    "plan": []
  }, {
    "hostname": "server2.example.com",
    "lastGoalVersionAchieved": 2,
    "name": "ReplSet_1",
    "plan": []
  }, {
     "hostname": "server3.example.com",
     "lastGoalVersionAchieved": 1,
     "name": "ReplSet_2",
     "plan":[]
  }]
}

To view the new configuration in the Cloud Manager console, click Deployment.

Next Steps

To make an additional version of MongoDB available in the cluster, see Update the MongoDB Version of a Deployment.

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