Client
docdbelastic | R Documentation |
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¶
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.
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.
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_snapshot
- Copies a snapshot of an elastic cluster
- create_cluster
- Creates a new Amazon DocumentDB elastic cluster and returns its cluster structure
- create_cluster_snapshot
- Creates a snapshot of an elastic cluster
- delete_cluster
- Delete an elastic cluster
- delete_cluster_snapshot
- Delete an elastic cluster snapshot
- get_cluster
- Returns information about a specific elastic cluster
- get_cluster_snapshot
- Returns information about a specific elastic cluster snapshot
- list_clusters
- Returns information about provisioned Amazon DocumentDB elastic clusters
- list_cluster_snapshots
- Returns information about snapshots for a specified elastic cluster
- list_tags_for_resource
- Lists all tags on a elastic cluster resource
- restore_cluster_from_snapshot
- Restores an elastic cluster from a snapshot
- start_cluster
- Restarts the stopped elastic cluster that is specified by clusterARN
- stop_cluster
- Stops the running elastic cluster that is specified by clusterArn
- tag_resource
- Adds metadata tags to an elastic cluster resource
- untag_resource
- Removes metadata tags from an elastic cluster resource
- update_cluster
- Modifies an elastic cluster