Amazon Timestream Query
timestreamquery(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)
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.
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
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.
Optional shorthand for complete URL to use for the constructed client.
Optional shorthand for AWS Region used in instantiating the client.
svc <- timestreamquery(
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"
)
cancel_query | Cancels a query that has been issued |
create_scheduled_query | Create a scheduled query that will be run on your behalf at the configured schedule |
delete_scheduled_query | Deletes a given scheduled query |
describe_account_settings | Describes the settings for your account that include the query pricing model and the configured maximum TCUs the service can use for your query workload |
describe_endpoints | DescribeEndpoints returns a list of available endpoints to make Timestream API calls against |
describe_scheduled_query | Provides detailed information about a scheduled query |
execute_scheduled_query | You can use this API to run a scheduled query manually |
list_scheduled_queries | Gets a list of all scheduled queries in the caller's Amazon account and Region |
list_tags_for_resource | List all tags on a Timestream query resource |
prepare_query | A synchronous operation that allows you to submit a query with parameters to be stored by Timestream for later running |
query | Query is a synchronous operation that enables you to run a query against your Amazon Timestream data |
tag_resource | Associate a set of tags with a Timestream resource |
untag_resource | Removes the association of tags from a Timestream query resource |
update_account_settings | Transitions your account to use TCUs for query pricing and modifies the maximum query compute units that you've configured |
update_scheduled_query | Update a scheduled query |
if (FALSE) {
svc <- timestreamquery()
svc$cancel_query(
Foo = 123
)
}
Run the code above in your browser using DataLab