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paws.database (version 0.7.0)

docdbelastic: Amazon DocumentDB Elastic Clusters

Description

Amazon DocumentDB elastic clusters

Amazon DocumentDB elastic-clusters support workloads with millions of reads/writes per second and petabytes of storage capacity. Amazon DocumentDB elastic clusters also simplify how developers interact with Amazon DocumentDB elastic-clusters by eliminating the need to choose, manage or upgrade instances.

Amazon DocumentDB elastic-clusters were created to:

  • provide a solution for customers looking for a database that provides virtually limitless scale with rich query capabilities and MongoDB API compatibility.

  • give customers higher connection limits, and to reduce downtime from patching.

  • continue investing in a cloud-native, elastic, and class leading architecture for JSON workloads.

Usage

docdbelastic(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Service syntax

svc <- docdbelastic(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

copy_cluster_snapshotCopies a snapshot of an elastic cluster
create_clusterCreates a new Amazon DocumentDB elastic cluster and returns its cluster structure
create_cluster_snapshotCreates a snapshot of an elastic cluster
delete_clusterDelete an elastic cluster
delete_cluster_snapshotDelete an elastic cluster snapshot
get_clusterReturns information about a specific elastic cluster
get_cluster_snapshotReturns information about a specific elastic cluster snapshot
list_clustersReturns information about provisioned Amazon DocumentDB elastic clusters
list_cluster_snapshotsReturns information about snapshots for a specified elastic cluster
list_tags_for_resourceLists all tags on a elastic cluster resource
restore_cluster_from_snapshotRestores an elastic cluster from a snapshot
start_clusterRestarts the stopped elastic cluster that is specified by clusterARN
stop_clusterStops the running elastic cluster that is specified by clusterArn
tag_resourceAdds metadata tags to an elastic cluster resource
untag_resourceRemoves metadata tags from an elastic cluster resource
update_clusterModifies an elastic cluster

Examples

Run this code
if (FALSE) {
svc <- docdbelastic()
svc$copy_cluster_snapshot(
  Foo = 123
)
}

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