You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.
Class: Aws::EMR::Client
- Inherits:
-
Seahorse::Client::Base
- Object
- Seahorse::Client::Base
- Aws::EMR::Client
- Defined in:
- (unknown)
Overview
An API client for Amazon Elastic MapReduce. To construct a client, you need to configure a :region
and :credentials
.
emr = Aws::EMR::Client.new(
region: region_name,
credentials: credentials,
# ...
)
See #initialize for a full list of supported configuration options.
Region
You can configure a default region in the following locations:
ENV['AWS_REGION']
Aws.config[:region]
Go here for a list of supported regions.
Credentials
Default credentials are loaded automatically from the following locations:
ENV['AWS_ACCESS_KEY_ID']
andENV['AWS_SECRET_ACCESS_KEY']
Aws.config[:credentials]
- The shared credentials ini file at
~/.aws/credentials
(more information) - From an instance profile when running on EC2
You can also construct a credentials object from one of the following classes:
Alternatively, you configure credentials with :access_key_id
and
:secret_access_key
:
# load credentials from disk
creds = YAML.load(File.read('/path/to/secrets'))
Aws::EMR::Client.new(
access_key_id: creds['access_key_id'],
secret_access_key: creds['secret_access_key']
)
Always load your credentials from outside your application. Avoid configuring credentials statically and never commit them to source control.
Instance Attribute Summary
Attributes inherited from Seahorse::Client::Base
Constructor collapse
-
#initialize(options = {}) ⇒ Aws::EMR::Client
constructor
Constructs an API client.
API Operations collapse
-
#add_instance_fleet(options = {}) ⇒ Types::AddInstanceFleetOutput
Adds an instance fleet to a running cluster.
The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x.
-
#add_instance_groups(options = {}) ⇒ Types::AddInstanceGroupsOutput
Adds one or more instance groups to a running cluster.
.
-
#add_job_flow_steps(options = {}) ⇒ Types::AddJobFlowStepsOutput
AddJobFlowSteps adds new steps to a running cluster.
-
#add_tags(options = {}) ⇒ Struct
Adds tags to an Amazon EMR resource.
-
#cancel_steps(options = {}) ⇒ Types::CancelStepsOutput
Cancels a pending step or steps in a running cluster.
-
#create_security_configuration(options = {}) ⇒ Types::CreateSecurityConfigurationOutput
Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
.
-
#delete_security_configuration(options = {}) ⇒ Struct
Deletes a security configuration.
.
-
#describe_cluster(options = {}) ⇒ Types::DescribeClusterOutput
Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
-
#describe_job_flows(options = {}) ⇒ Types::DescribeJobFlowsOutput
This API is deprecated and will eventually be removed.
-
#describe_notebook_execution(options = {}) ⇒ Types::DescribeNotebookExecutionOutput
Provides details of a notebook execution.
.
-
#describe_security_configuration(options = {}) ⇒ Types::DescribeSecurityConfigurationOutput
Provides the details of a security configuration by returning the configuration JSON.
.
-
#describe_step(options = {}) ⇒ Types::DescribeStepOutput
Provides more detail about the cluster step.
.
-
#get_block_public_access_configuration(options = {}) ⇒ Types::GetBlockPublicAccessConfigurationOutput
Returns the Amazon EMR block public access configuration for your AWS account in the current Region.
-
#get_managed_scaling_policy(options = {}) ⇒ Types::GetManagedScalingPolicyOutput
Fetches the attached managed scaling policy for an Amazon EMR cluster.
-
#list_bootstrap_actions(options = {}) ⇒ Types::ListBootstrapActionsOutput
Provides information about the bootstrap actions associated with a cluster.
.
-
#list_clusters(options = {}) ⇒ Types::ListClustersOutput
Provides the status of all clusters visible to this AWS account.
-
#list_instance_fleets(options = {}) ⇒ Types::ListInstanceFleetsOutput
Lists all available details about the instance fleets in a cluster.
The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions.
-
#list_instance_groups(options = {}) ⇒ Types::ListInstanceGroupsOutput
Provides all available details about the instance groups in a cluster.
.
-
#list_instances(options = {}) ⇒ Types::ListInstancesOutput
Provides information for all active EC2 instances and EC2 instances terminated in the last 30 days, up to a maximum of 2,000.
-
#list_notebook_executions(options = {}) ⇒ Types::ListNotebookExecutionsOutput
Provides summaries of all notebook executions.
-
#list_security_configurations(options = {}) ⇒ Types::ListSecurityConfigurationsOutput
Lists all the security configurations visible to this account, providing their creation dates and times, and their names.
-
#list_steps(options = {}) ⇒ Types::ListStepsOutput
Provides a list of steps for the cluster in reverse order unless you specify
stepIds
with the request of filter byStepStates
. -
#modify_cluster(options = {}) ⇒ Types::ModifyClusterOutput
Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
.
-
#modify_instance_fleet(options = {}) ⇒ Struct
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(options = {}) ⇒ Struct
ModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group.
-
#put_auto_scaling_policy(options = {}) ⇒ Types::PutAutoScalingPolicyOutput
Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster.
-
#put_block_public_access_configuration(options = {}) ⇒ Struct
Creates or updates an Amazon EMR block public access configuration for your AWS account in the current Region.
-
#put_managed_scaling_policy(options = {}) ⇒ Struct
Creates or updates a managed scaling policy for an Amazon EMR cluster.
-
#remove_auto_scaling_policy(options = {}) ⇒ Struct
Removes an automatic scaling policy from a specified instance group within an EMR cluster.
.
-
#remove_managed_scaling_policy(options = {}) ⇒ Struct
Removes a managed scaling policy from a specified EMR cluster.
-
#remove_tags(options = {}) ⇒ Struct
Removes tags from an Amazon EMR resource.
-
#run_job_flow(options = {}) ⇒ Types::RunJobFlowOutput
RunJobFlow creates and starts running a new cluster (job flow).
-
#set_termination_protection(options = {}) ⇒ Struct
SetTerminationProtection locks a cluster (job flow) so the EC2 instances in the cluster cannot be terminated by user intervention, an API call, or in the event of a job-flow error.
-
#set_visible_to_all_users(options = {}) ⇒ Struct
Sets the Cluster$VisibleToAllUsers value, which determines whether the cluster is visible to all IAM users of the AWS account associated with the cluster.
-
#start_notebook_execution(options = {}) ⇒ Types::StartNotebookExecutionOutput
Starts a notebook execution.
.
-
#stop_notebook_execution(options = {}) ⇒ Struct
Stops a notebook execution.
.
-
#terminate_job_flows(options = {}) ⇒ Struct
TerminateJobFlows shuts a list of clusters (job flows) down.
Instance Method Summary collapse
-
#wait_until(waiter_name, params = {}) {|waiter| ... } ⇒ Boolean
Waiters polls an API operation until a resource enters a desired state.
-
#waiter_names ⇒ Array<Symbol>
Returns the list of supported waiters.
Methods inherited from Seahorse::Client::Base
add_plugin, api, #build_request, clear_plugins, define, new, #operation, #operation_names, plugins, remove_plugin, set_api, set_plugins
Methods included from Seahorse::Client::HandlerBuilder
#handle, #handle_request, #handle_response
Constructor Details
#initialize(options = {}) ⇒ Aws::EMR::Client
Constructs an API client.
Instance Method Details
#add_instance_fleet(options = {}) ⇒ Types::AddInstanceFleetOutput
Adds an instance fleet to a running cluster.
The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x.
#add_instance_groups(options = {}) ⇒ Types::AddInstanceGroupsOutput
Adds one or more instance groups to a running cluster.
#add_job_flow_steps(options = {}) ⇒ Types::AddJobFlowStepsOutput
AddJobFlowSteps adds new steps to a running cluster. A maximum of 256 steps are allowed in each job flow.
If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps to process your data. You can bypass the 256-step limitation in various ways, including using SSH to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop. For more information on how to do this, see Add More than 256 Steps to a Cluster in the Amazon EMR Management Guide.
A step specifies the location of a JAR file stored either on the master node of the cluster or in Amazon S3. Each step is performed by the main function of the main class of the JAR file. The main class can be specified either in the manifest of the JAR or by using the MainFunction parameter of the step.
Amazon EMR executes each step in the order listed. For a step to be considered complete, the main function must exit with a zero exit code and all Hadoop jobs started while the step was running must have completed and run successfully.
You can only add steps to a cluster that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.
#add_tags(options = {}) ⇒ Struct
Adds tags to an Amazon EMR resource. Tags make it easier to associate clusters in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
#cancel_steps(options = {}) ⇒ Types::CancelStepsOutput
Cancels a pending step or steps in a running cluster. Available only in Amazon EMR versions 4.8.0 and later, excluding version 5.0.0. A maximum of 256 steps are allowed in each CancelSteps request. CancelSteps is idempotent but asynchronous; it does not guarantee a step will be canceled, even if the request is successfully submitted. You can only cancel steps that are in a PENDING
state.
#create_security_configuration(options = {}) ⇒ Types::CreateSecurityConfigurationOutput
Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
#delete_security_configuration(options = {}) ⇒ Struct
Deletes a security configuration.
#describe_cluster(options = {}) ⇒ Types::DescribeClusterOutput
Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
#describe_job_flows(options = {}) ⇒ Types::DescribeJobFlowsOutput
This API is deprecated and will eventually be removed. We recommend you use ListClusters, DescribeCluster, ListSteps, ListInstanceGroups and ListBootstrapActions instead.
DescribeJobFlows returns a list of job flows that match all of the supplied parameters. The parameters can include a list of job flow IDs, job flow states, and restrictions on job flow creation date and time.
Regardless of supplied parameters, only job flows created within the last two months are returned.
If no parameters are supplied, then job flows matching either of the following criteria are returned:
-
Job flows created and completed in the last two weeks
-
Job flows created within the last two months that are in one of the following states:
RUNNING
,WAITING
,SHUTTING_DOWN
,STARTING
Amazon EMR can return a maximum of 512 job flow descriptions.
#describe_notebook_execution(options = {}) ⇒ Types::DescribeNotebookExecutionOutput
Provides details of a notebook execution.
#describe_security_configuration(options = {}) ⇒ Types::DescribeSecurityConfigurationOutput
Provides the details of a security configuration by returning the configuration JSON.
#describe_step(options = {}) ⇒ Types::DescribeStepOutput
Provides more detail about the cluster step.
#get_block_public_access_configuration(options = {}) ⇒ Types::GetBlockPublicAccessConfigurationOutput
Returns the Amazon EMR block public access configuration for your AWS account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
#get_managed_scaling_policy(options = {}) ⇒ Types::GetManagedScalingPolicyOutput
Fetches the attached managed scaling policy for an Amazon EMR cluster.
#list_bootstrap_actions(options = {}) ⇒ Types::ListBootstrapActionsOutput
Provides information about the bootstrap actions associated with a cluster.
#list_clusters(options = {}) ⇒ Types::ListClustersOutput
Provides the status of all clusters visible to this AWS account. Allows you to filter the list of clusters based on certain criteria; for example, filtering by cluster creation date and time or by status. This call returns a maximum of 50 clusters per call, but returns a marker to track the paging of the cluster list across multiple ListClusters calls.
#list_instance_fleets(options = {}) ⇒ Types::ListInstanceFleetsOutput
Lists all available details about the instance fleets in a cluster.
The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions.
#list_instance_groups(options = {}) ⇒ Types::ListInstanceGroupsOutput
Provides all available details about the instance groups in a cluster.
#list_instances(options = {}) ⇒ Types::ListInstancesOutput
Provides information for all active EC2 instances and EC2 instances terminated in the last 30 days, up to a maximum of 2,000. EC2 instances in any of the following states are considered active: AWAITING_FULFILLMENT, PROVISIONING, BOOTSTRAPPING, RUNNING.
#list_notebook_executions(options = {}) ⇒ Types::ListNotebookExecutionsOutput
Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status, time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a longer notebook execution list across multiple ListNotebookExecution
calls.
#list_security_configurations(options = {}) ⇒ Types::ListSecurityConfigurationsOutput
Lists all the security configurations visible to this account, providing their creation dates and times, and their names. This call returns a maximum of 50 clusters per call, but returns a marker to track the paging of the cluster list across multiple ListSecurityConfigurations calls.
#list_steps(options = {}) ⇒ Types::ListStepsOutput
Provides a list of steps for the cluster in reverse order unless you specify stepIds
with the request of filter by StepStates
. You can specify a maximum of ten stepIDs
.
#modify_cluster(options = {}) ⇒ Types::ModifyClusterOutput
Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
#modify_instance_fleet(options = {}) ⇒ Struct
Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified InstanceFleetID within the cluster specified using ClusterID. The call either succeeds or fails atomically.
The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions.
#modify_instance_groups(options = {}) ⇒ Struct
ModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group. The input parameters include the new target instance count for the group and the instance group ID. The call will either succeed or fail atomically.
#put_auto_scaling_policy(options = {}) ⇒ Types::PutAutoScalingPolicyOutput
Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster. The automatic scaling policy defines how an instance group dynamically adds and terminates EC2 instances in response to the value of a CloudWatch metric.
#put_block_public_access_configuration(options = {}) ⇒ Struct
Creates or updates an Amazon EMR block public access configuration for your AWS account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
#put_managed_scaling_policy(options = {}) ⇒ Struct
Creates or updates a managed scaling policy for an Amazon EMR cluster. The managed scaling policy defines the limits for resources, such as EC2 instances that can be added or terminated from a cluster. The policy only applies to the core and task nodes. The master node cannot be scaled after initial configuration.
#remove_auto_scaling_policy(options = {}) ⇒ Struct
Removes an automatic scaling policy from a specified instance group within an EMR cluster.
#remove_managed_scaling_policy(options = {}) ⇒ Struct
Removes a managed scaling policy from a specified EMR cluster.
#remove_tags(options = {}) ⇒ Struct
Removes tags from an Amazon EMR resource. Tags make it easier to associate clusters in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
The following example removes the stack tag with value Prod from a cluster:
#run_job_flow(options = {}) ⇒ Types::RunJobFlowOutput
RunJobFlow creates and starts running a new cluster (job flow). The cluster runs the steps specified. After the steps complete, the cluster stops and the HDFS partition is lost. To prevent loss of data, configure the last step of the job flow to store results in Amazon S3. If the JobFlowInstancesConfig KeepJobFlowAliveWhenNoSteps
parameter is set to TRUE
, the cluster transitions to the WAITING state rather than shutting down after the steps have completed.
For additional protection, you can set the JobFlowInstancesConfig TerminationProtected
parameter to TRUE
to lock the cluster and prevent it from being terminated by API call, user intervention, or in the event of a job flow error.
A maximum of 256 steps are allowed in each job flow.
If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps to process your data. You can bypass the 256-step limitation in various ways, including using the SSH shell to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop. For more information on how to do this, see Add More than 256 Steps to a Cluster in the Amazon EMR Management Guide.
For long running clusters, we recommend that you periodically store your results.
The instance fleets configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions. The RunJobFlow request can contain InstanceFleets parameters or InstanceGroups parameters, but not both.
#set_termination_protection(options = {}) ⇒ Struct
SetTerminationProtection locks a cluster (job flow) so the EC2 instances in the cluster cannot be terminated by user intervention, an API call, or in the event of a job-flow error. The cluster still terminates upon successful completion of the job flow. Calling SetTerminationProtection
on a cluster is similar to calling the Amazon EC2 DisableAPITermination
API on all EC2 instances in a cluster.
SetTerminationProtection
is used to prevent accidental termination of a cluster and to ensure that in the event of an error, the instances persist so that you can recover any data stored in their ephemeral instance storage.
To terminate a cluster that has been locked by setting SetTerminationProtection
to true
, you must first unlock the job flow by a subsequent call to SetTerminationProtection
in which you set the value to false
.
For more information, seeManaging Cluster Termination in the Amazon EMR Management Guide.
#set_visible_to_all_users(options = {}) ⇒ Struct
Sets the Cluster$VisibleToAllUsers value, which determines whether the cluster is visible to all IAM users of the AWS account associated with the cluster. Only the IAM user who created the cluster or the AWS account root user can call this action. The default value, true
, indicates that all IAM users in the AWS account can perform cluster actions if they have the proper IAM policy permissions. If set to false
, only the IAM user that created the cluster can perform actions. This action works on running clusters. You can override the default true
setting when you create a cluster by using the VisibleToAllUsers
parameter with RunJobFlow
.
#start_notebook_execution(options = {}) ⇒ Types::StartNotebookExecutionOutput
Starts a notebook execution.
#stop_notebook_execution(options = {}) ⇒ Struct
Stops a notebook execution.
#terminate_job_flows(options = {}) ⇒ Struct
TerminateJobFlows shuts a list of clusters (job flows) down. When a job flow is shut down, any step not yet completed is canceled and the EC2 instances on which the cluster is running are stopped. Any log files not already saved are uploaded to Amazon S3 if a LogUri was specified when the cluster was created.
The maximum number of clusters allowed is 10. The call to TerminateJobFlows
is asynchronous. Depending on the configuration of the cluster, it may take up to 1-5 minutes for the cluster to completely terminate and release allocated resources, such as Amazon EC2 instances.
#wait_until(waiter_name, params = {}) {|waiter| ... } ⇒ Boolean
Waiters polls an API operation until a resource enters a desired state.
Basic Usage
Waiters will poll until they are succesful, they fail by entering a terminal state, or until a maximum number of attempts are made.
# polls in a loop, sleeping between attempts client.waiter_until(waiter_name, params)
Configuration
You can configure the maximum number of polling attempts, and the delay (in seconds) between each polling attempt. You configure waiters by passing a block to #wait_until:
# poll for ~25 seconds
client.wait_until(...) do |w|
w.max_attempts = 5
w.delay = 5
end
Callbacks
You can be notified before each polling attempt and before each
delay. If you throw :success
or :failure
from these callbacks,
it will terminate the waiter.
started_at = Time.now
client.wait_until(...) do |w|
# disable max attempts
w.max_attempts = nil
# poll for 1 hour, instead of a number of attempts
w.before_wait do |attempts, response|
throw :failure if Time.now - started_at > 3600
end
end
Handling Errors
When a waiter is successful, it returns true
. When a waiter
fails, it raises an error. All errors raised extend from
Waiters::Errors::WaiterFailed.
begin
client.wait_until(...)
rescue Aws::Waiters::Errors::WaiterFailed
# resource did not enter the desired state in time
end
#waiter_names ⇒ Array<Symbol>
Returns the list of supported waiters. The following table lists the supported waiters and the client method they call:
Waiter Name | Client Method | Default Delay: | Default Max Attempts: |
---|---|---|---|
:cluster_running | #describe_cluster | 30 | 60 |
:cluster_terminated | #describe_cluster | 30 | 60 |
:step_complete | #describe_step | 30 | 60 |