Struct rusoto_emr::RunJobFlowInput [−][src]
pub struct RunJobFlowInput { pub additional_info: Option<String>, pub ami_version: Option<String>, pub applications: Option<Vec<Application>>, pub auto_scaling_role: Option<String>, pub bootstrap_actions: Option<Vec<BootstrapActionConfig>>, pub configurations: Option<Vec<Configuration>>, pub custom_ami_id: Option<String>, pub ebs_root_volume_size: Option<i64>, pub instances: JobFlowInstancesConfig, pub job_flow_role: Option<String>, pub kerberos_attributes: Option<KerberosAttributes>, pub log_uri: Option<String>, pub name: String, pub new_supported_products: Option<Vec<SupportedProductConfig>>, pub release_label: Option<String>, pub repo_upgrade_on_boot: Option<String>, pub scale_down_behavior: Option<String>, pub security_configuration: Option<String>, pub service_role: Option<String>, pub steps: Option<Vec<StepConfig>>, pub supported_products: Option<Vec<String>>, pub tags: Option<Vec<Tag>>, pub visible_to_all_users: Option<bool>, }
Input to the RunJobFlow operation.
Fields
additional_info: Option<String>
A JSON string for selecting additional features.
ami_version: Option<String>
For Amazon EMR AMI versions 3.x and 2.x. For Amazon EMR releases 4.0 and later, the Linux AMI is determined by the ReleaseLabel
specified or by CustomAmiID
. The version of the Amazon Machine Image (AMI) to use when launching Amazon EC2 instances in the job flow. For details about the AMI versions currently supported in EMR version 3.x and 2.x, see AMI Versions Supported in EMR in the Amazon EMR Developer Guide.
If the AMI supports multiple versions of Hadoop (for example, AMI 1.0 supports both Hadoop 0.18 and 0.20), you can use the JobFlowInstancesConfig HadoopVersion
parameter to modify the version of Hadoop from the defaults shown above.
Previously, the EMR AMI version API parameter options allowed you to use latest for the latest AMI version rather than specify a numerical value. Some regions no longer support this deprecated option as they only have a newer release label version of EMR, which requires you to specify an EMR release label release (EMR 4.x or later).
applications: Option<Vec<Application>>
For Amazon EMR releases 4.0 and later. A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
auto_scaling_role: Option<String>
An IAM role for automatic scaling policies. The default role is EMR_AutoScaling_DefaultRole
. The IAM role provides permissions that the automatic scaling feature requires to launch and terminate EC2 instances in an instance group.
bootstrap_actions: Option<Vec<BootstrapActionConfig>>
A list of bootstrap actions to run before Hadoop starts on the cluster nodes.
configurations: Option<Vec<Configuration>>
For Amazon EMR releases 4.0 and later. The list of configurations supplied for the EMR cluster you are creating.
custom_ami_id: Option<String>
Available only in Amazon EMR version 5.7.0 and later. The ID of a custom Amazon EBS-backed Linux AMI. If specified, Amazon EMR uses this AMI when it launches cluster EC2 instances. For more information about custom AMIs in Amazon EMR, see Using a Custom AMI in the Amazon EMR Management Guide. If omitted, the cluster uses the base Linux AMI for the ReleaseLabel
specified. For Amazon EMR versions 2.x and 3.x, use AmiVersion
instead.
For information about creating a custom AMI, see Creating an Amazon EBS-Backed Linux AMI in the Amazon Elastic Compute Cloud User Guide for Linux Instances. For information about finding an AMI ID, see Finding a Linux AMI.
ebs_root_volume_size: Option<i64>
The size, in GiB, of the EBS root device volume of the Linux AMI that is used for each EC2 instance. Available in Amazon EMR version 4.x and later.
instances: JobFlowInstancesConfig
A specification of the number and type of Amazon EC2 instances.
job_flow_role: Option<String>
Also called instance profile and EC2 role. An IAM role for an EMR cluster. The EC2 instances of the cluster assume this role. The default role is EMR_EC2_DefaultRole
. In order to use the default role, you must have already created it using the CLI or console.
kerberos_attributes: Option<KerberosAttributes>
Attributes for Kerberos configuration when Kerberos authentication is enabled using a security configuration. For more information see Use Kerberos Authentication in the EMR Management Guide.
log_uri: Option<String>
The location in Amazon S3 to write the log files of the job flow. If a value is not provided, logs are not created.
name: String
The name of the job flow.
new_supported_products: Option<Vec<SupportedProductConfig>>
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and later, use Applications.
A list of strings that indicates third-party software to use with the job flow that accepts a user argument list. EMR accepts and forwards the argument list to the corresponding installation script as bootstrap action arguments. For more information, see "Launch a Job Flow on the MapR Distribution for Hadoop" in the Amazon EMR Developer Guide. Supported values are:
-
"mapr-m3" - launch the cluster using MapR M3 Edition.
-
"mapr-m5" - launch the cluster using MapR M5 Edition.
-
"mapr" with the user arguments specifying "--edition,m3" or "--edition,m5" - launch the job flow using MapR M3 or M5 Edition respectively.
-
"mapr-m7" - launch the cluster using MapR M7 Edition.
-
"hunk" - launch the cluster with the Hunk Big Data Analtics Platform.
-
"hue"- launch the cluster with Hue installed.
-
"spark" - launch the cluster with Apache Spark installed.
-
"ganglia" - launch the cluster with the Ganglia Monitoring System installed.
release_label: Option<String>
The release label for the Amazon EMR release. For Amazon EMR 3.x and 2.x AMIs, use AmiVersion
instead.
repo_upgrade_on_boot: Option<String>
Applies only when CustomAmiID
is used. Specifies which updates from the Amazon Linux AMI package repositories to apply automatically when the instance boots using the AMI. If omitted, the default is SECURITY
, which indicates that only security updates are applied. If NONE
is specified, no updates are applied, and all updates must be applied manually.
scale_down_behavior: Option<String>
Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an instance group is resized. TERMINATE_AT_INSTANCE_HOUR
indicates that Amazon EMR terminates nodes at the instance-hour boundary, regardless of when the request to terminate the instance was submitted. This option is only available with Amazon EMR 5.1.0 and later and is the default for clusters created using that version. TERMINATE_AT_TASK_COMPLETION
indicates that Amazon EMR blacklists and drains tasks from nodes before terminating the Amazon EC2 instances, regardless of the instance-hour boundary. With either behavior, Amazon EMR removes the least active nodes first and blocks instance termination if it could lead to HDFS corruption. TERMINATE_AT_TASK_COMPLETION
available only in Amazon EMR version 4.1.0 and later, and is the default for versions of Amazon EMR earlier than 5.1.0.
security_configuration: Option<String>
The name of a security configuration to apply to the cluster.
service_role: Option<String>
The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.
steps: Option<Vec<StepConfig>>
A list of steps to run.
supported_products: Option<Vec<String>>
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and later, use Applications.
A list of strings that indicates third-party software to use. For more information, see the Amazon EMR Developer Guide. Currently supported values are:
-
"mapr-m3" - launch the job flow using MapR M3 Edition.
-
"mapr-m5" - launch the job flow using MapR M5 Edition.
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
visible_to_all_users: Option<bool>
Whether the cluster is visible to all IAM users of the AWS account associated with the cluster. If this value is set to true
, all IAM users of that AWS account can view and (if they have the proper policy permissions set) manage the cluster. If it is set to false
, only the IAM user that created the cluster can view and manage it.
Trait Implementations
impl Default for RunJobFlowInput
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impl Default for RunJobFlowInput
fn default() -> RunJobFlowInput
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fn default() -> RunJobFlowInput
Returns the "default value" for a type. Read more
impl Debug for RunJobFlowInput
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impl Debug for RunJobFlowInput
fn fmt(&self, f: &mut Formatter) -> Result
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fn fmt(&self, f: &mut Formatter) -> Result
Formats the value using the given formatter. Read more
impl Clone for RunJobFlowInput
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impl Clone for RunJobFlowInput
fn clone(&self) -> RunJobFlowInput
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fn clone(&self) -> RunJobFlowInput
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
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fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
impl PartialEq for RunJobFlowInput
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impl PartialEq for RunJobFlowInput
fn eq(&self, other: &RunJobFlowInput) -> bool
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fn eq(&self, other: &RunJobFlowInput) -> bool
This method tests for self
and other
values to be equal, and is used by ==
. Read more
fn ne(&self, other: &RunJobFlowInput) -> bool
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fn ne(&self, other: &RunJobFlowInput) -> bool
This method tests for !=
.
Auto Trait Implementations
impl Send for RunJobFlowInput
impl Send for RunJobFlowInput
impl Sync for RunJobFlowInput
impl Sync for RunJobFlowInput