| emr {paws} | R Documentation |
Amazon EMR
Description
Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file analysis, machine learning, scientific simulation, and data warehouse management.
Usage
emr(config = list(), credentials = list(), endpoint = NULL, region = NULL)
Arguments
config |
Optional configuration of credentials, endpoint, and/or region.
|
credentials |
Optional credentials shorthand for the config parameter
|
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 <- emr(
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
| add_instance_fleet | Adds an instance fleet to a running cluster |
| add_instance_groups | Adds one or more instance groups to a running cluster |
| add_job_flow_steps | AddJobFlowSteps adds new steps to a running cluster |
| add_tags | Adds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio |
| cancel_steps | Cancels a pending step or steps in a running cluster |
| create_security_configuration | Creates a security configuration, which is stored in the service and can be specified when a cluster is created |
| create_studio | Creates a new Amazon EMR Studio |
| create_studio_session_mapping | Maps a user or group to the Amazon EMR Studio specified by StudioId, and applies a session policy to refine Studio permissions for that user or group |
| delete_security_configuration | Deletes a security configuration |
| delete_studio | Removes an Amazon EMR Studio from the Studio metadata store |
| delete_studio_session_mapping | Removes a user or group from an Amazon EMR Studio |
| describe_cluster | Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on |
| describe_job_flows | This API is no longer supported and will eventually be removed |
| describe_notebook_execution | Provides details of a notebook execution |
| describe_release_label | Provides Amazon EMR release label details, such as the releases available the Region where the API request is run, and the available applications for a specific Amazon EMR release label |
| describe_security_configuration | Provides the details of a security configuration by returning the configuration JSON |
| describe_step | Provides more detail about the cluster step |
| describe_studio | Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on |
| get_auto_termination_policy | Returns the auto-termination policy for an Amazon EMR cluster |
| get_block_public_access_configuration | Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current Region |
| get_cluster_session_credentials | Provides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a cluster with fine-grained access control activated |
| get_managed_scaling_policy | Fetches the attached managed scaling policy for an Amazon EMR cluster |
| get_studio_session_mapping | Fetches mapping details for the specified Amazon EMR Studio and identity (user or group) |
| list_bootstrap_actions | Provides information about the bootstrap actions associated with a cluster |
| list_clusters | Provides the status of all clusters visible to this Amazon Web Services account |
| list_instance_fleets | Lists all available details about the instance fleets in a cluster |
| list_instance_groups | Provides all available details about the instance groups in a cluster |
| list_instances | Provides information for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days, up to a maximum of 2,000 |
| list_notebook_executions | Provides summaries of all notebook executions |
| list_release_labels | Retrieves release labels of Amazon EMR services in the Region where the API is called |
| list_security_configurations | Lists all the security configurations visible to this account, providing their creation dates and times, and their names |
| list_steps | Provides a list of steps for the cluster in reverse order unless you specify stepIds with the request or filter by StepStates |
| list_studios | Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account |
| list_studio_session_mappings | Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId |
| list_supported_instance_types | A list of the instance types that Amazon EMR supports |
| modify_cluster | Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID |
| modify_instance_fleet | Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified InstanceFleetID within the cluster specified using ClusterID |
| modify_instance_groups | ModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group |
| put_auto_scaling_policy | Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster |
| put_auto_termination_policy | Auto-termination is supported in Amazon EMR releases 5 |
| put_block_public_access_configuration | Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the current Region |
| put_managed_scaling_policy | Creates or updates a managed scaling policy for an Amazon EMR cluster |
| remove_auto_scaling_policy | Removes an automatic scaling policy from a specified instance group within an Amazon EMR cluster |
| remove_auto_termination_policy | Removes an auto-termination policy from an Amazon EMR cluster |
| remove_managed_scaling_policy | Removes a managed scaling policy from a specified Amazon EMR cluster |
| remove_tags | Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio |
| run_job_flow | RunJobFlow creates and starts running a new cluster (job flow) |
| set_keep_job_flow_alive_when_no_steps | You can use the SetKeepJobFlowAliveWhenNoSteps to configure a cluster (job flow) to terminate after the step execution, i |
| set_termination_protection | SetTerminationProtection locks a cluster (job flow) so the Amazon EC2 instances in the cluster cannot be terminated by user intervention, an API call, or in the event of a job-flow error |
| set_unhealthy_node_replacement | Specify whether to enable unhealthy node replacement, which lets Amazon EMR gracefully replace core nodes on a cluster if any nodes become unhealthy |
| set_visible_to_all_users | The SetVisibleToAllUsers parameter is no longer supported |
| start_notebook_execution | Starts a notebook execution |
| stop_notebook_execution | Stops a notebook execution |
| terminate_job_flows | TerminateJobFlows shuts a list of clusters (job flows) down |
| update_studio | Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets |
| update_studio_session_mapping | Updates the session policy attached to the user or group for the specified Amazon EMR Studio |
Examples
## Not run:
svc <- emr()
svc$add_instance_fleet(
Foo = 123
)
## End(Not run)