You can use the Amazon Redshift Data API to run queries on Amazon Redshift tables. You can run SQL statements, which are committed if the statement succeeds.
For more information about the Amazon Redshift Data API and CLI usage examples, see Using the Amazon Redshift Data API in the Amazon Redshift Management Guide.
redshiftdataapiservice(
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 <- redshiftdataapiservice(
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"
)
batch_execute_statement | Runs one or more SQL statements, which can be data manipulation language (DML) or data definition language (DDL) |
cancel_statement | Cancels a running query |
describe_statement | Describes the details about a specific instance when a query was run by the Amazon Redshift Data API |
describe_table | Describes the detailed information about a table from metadata in the cluster |
execute_statement | Runs an SQL statement, which can be data manipulation language (DML) or data definition language (DDL) |
get_statement_result | Fetches the temporarily cached result of an SQL statement |
list_databases | List the databases in a cluster |
list_schemas | Lists the schemas in a database |
list_statements | List of SQL statements |
list_tables | List the tables in a database |
if (FALSE) {
svc <- redshiftdataapiservice()
svc$batch_execute_statement(
Foo = 123
)
}
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