public class RunJobFlowRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
Input to the RunJobFlow operation.
NOOP
Constructor and Description |
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RunJobFlowRequest()
Default constructor for RunJobFlowRequest object.
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RunJobFlowRequest(String name,
JobFlowInstancesConfig instances)
Constructs a new RunJobFlowRequest object.
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Modifier and Type | Method and Description |
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RunJobFlowRequest |
clone()
Creates a shallow clone of this request.
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boolean |
equals(Object obj) |
String |
getAdditionalInfo()
A JSON string for selecting additional features.
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String |
getAmiVersion()
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List<Application> |
getApplications()
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String |
getAutoScalingRole()
An IAM role for automatic scaling policies.
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List<BootstrapActionConfig> |
getBootstrapActions()
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
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List<Configuration> |
getConfigurations()
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JobFlowInstancesConfig |
getInstances()
A specification of the number and type of Amazon EC2 instances on which to run the job flow.
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String |
getJobFlowRole()
Also called instance profile and EC2 role.
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String |
getLogUri()
The location in Amazon S3 to write the log files of the job flow.
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String |
getName()
The name of the job flow.
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List<SupportedProductConfig> |
getNewSupportedProducts()
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String |
getReleaseLabel()
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String |
getScaleDownBehavior()
Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an
instance group is resized.
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String |
getSecurityConfiguration()
The name of a security configuration to apply to the cluster.
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String |
getServiceRole()
The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.
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List<StepConfig> |
getSteps()
A list of steps to be executed by the job flow.
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List<String> |
getSupportedProducts()
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List<Tag> |
getTags()
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
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Boolean |
getVisibleToAllUsers()
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow.
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int |
hashCode() |
Boolean |
isVisibleToAllUsers()
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow.
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void |
setAdditionalInfo(String additionalInfo)
A JSON string for selecting additional features.
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void |
setAmiVersion(String amiVersion)
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void |
setApplications(Collection<Application> applications)
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void |
setAutoScalingRole(String autoScalingRole)
An IAM role for automatic scaling policies.
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void |
setBootstrapActions(Collection<BootstrapActionConfig> bootstrapActions)
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
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void |
setConfigurations(Collection<Configuration> configurations)
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void |
setInstances(JobFlowInstancesConfig instances)
A specification of the number and type of Amazon EC2 instances on which to run the job flow.
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void |
setJobFlowRole(String jobFlowRole)
Also called instance profile and EC2 role.
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void |
setLogUri(String logUri)
The location in Amazon S3 to write the log files of the job flow.
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void |
setName(String name)
The name of the job flow.
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void |
setNewSupportedProducts(Collection<SupportedProductConfig> newSupportedProducts)
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void |
setReleaseLabel(String releaseLabel)
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void |
setScaleDownBehavior(ScaleDownBehavior scaleDownBehavior)
Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an
instance group is resized.
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void |
setScaleDownBehavior(String scaleDownBehavior)
Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an
instance group is resized.
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void |
setSecurityConfiguration(String securityConfiguration)
The name of a security configuration to apply to the cluster.
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void |
setServiceRole(String serviceRole)
The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.
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void |
setSteps(Collection<StepConfig> steps)
A list of steps to be executed by the job flow.
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void |
setSupportedProducts(Collection<String> supportedProducts)
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void |
setTags(Collection<Tag> tags)
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
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void |
setVisibleToAllUsers(Boolean visibleToAllUsers)
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow.
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String |
toString()
Returns a string representation of this object; useful for testing and debugging.
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RunJobFlowRequest |
withAdditionalInfo(String additionalInfo)
A JSON string for selecting additional features.
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RunJobFlowRequest |
withAmiVersion(String amiVersion)
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RunJobFlowRequest |
withApplications(Application... applications)
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RunJobFlowRequest |
withApplications(Collection<Application> applications)
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RunJobFlowRequest |
withAutoScalingRole(String autoScalingRole)
An IAM role for automatic scaling policies.
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RunJobFlowRequest |
withBootstrapActions(BootstrapActionConfig... bootstrapActions)
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
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RunJobFlowRequest |
withBootstrapActions(Collection<BootstrapActionConfig> bootstrapActions)
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
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RunJobFlowRequest |
withConfigurations(Collection<Configuration> configurations)
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RunJobFlowRequest |
withConfigurations(Configuration... configurations)
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RunJobFlowRequest |
withInstances(JobFlowInstancesConfig instances)
A specification of the number and type of Amazon EC2 instances on which to run the job flow.
|
RunJobFlowRequest |
withJobFlowRole(String jobFlowRole)
Also called instance profile and EC2 role.
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RunJobFlowRequest |
withLogUri(String logUri)
The location in Amazon S3 to write the log files of the job flow.
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RunJobFlowRequest |
withName(String name)
The name of the job flow.
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RunJobFlowRequest |
withNewSupportedProducts(Collection<SupportedProductConfig> newSupportedProducts)
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RunJobFlowRequest |
withNewSupportedProducts(SupportedProductConfig... newSupportedProducts)
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RunJobFlowRequest |
withReleaseLabel(String releaseLabel)
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RunJobFlowRequest |
withScaleDownBehavior(ScaleDownBehavior scaleDownBehavior)
Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an
instance group is resized.
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RunJobFlowRequest |
withScaleDownBehavior(String scaleDownBehavior)
Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an
instance group is resized.
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RunJobFlowRequest |
withSecurityConfiguration(String securityConfiguration)
The name of a security configuration to apply to the cluster.
|
RunJobFlowRequest |
withServiceRole(String serviceRole)
The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.
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RunJobFlowRequest |
withSteps(Collection<StepConfig> steps)
A list of steps to be executed by the job flow.
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RunJobFlowRequest |
withSteps(StepConfig... steps)
A list of steps to be executed by the job flow.
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RunJobFlowRequest |
withSupportedProducts(Collection<String> supportedProducts)
|
RunJobFlowRequest |
withSupportedProducts(String... supportedProducts)
|
RunJobFlowRequest |
withTags(Collection<Tag> tags)
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
|
RunJobFlowRequest |
withTags(Tag... tags)
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
|
RunJobFlowRequest |
withVisibleToAllUsers(Boolean visibleToAllUsers)
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow.
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getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public RunJobFlowRequest()
public RunJobFlowRequest(String name, JobFlowInstancesConfig instances)
name
- The name of the job flow.instances
- A specification of the number and type of Amazon EC2 instances on which to run the job flow.public void setName(String name)
The name of the job flow.
name
- The name of the job flow.public String getName()
The name of the job flow.
public RunJobFlowRequest withName(String name)
The name of the job flow.
name
- The name of the job flow.public void setLogUri(String logUri)
The location in Amazon S3 to write the log files of the job flow. If a value is not provided, logs are not created.
logUri
- The location in Amazon S3 to write the log files of the job flow. If a value is not provided, logs are not
created.public String getLogUri()
The location in Amazon S3 to write the log files of the job flow. If a value is not provided, logs are not created.
public RunJobFlowRequest withLogUri(String logUri)
The location in Amazon S3 to write the log files of the job flow. If a value is not provided, logs are not created.
logUri
- The location in Amazon S3 to write the log files of the job flow. If a value is not provided, logs are not
created.public void setAdditionalInfo(String additionalInfo)
A JSON string for selecting additional features.
additionalInfo
- A JSON string for selecting additional features.public String getAdditionalInfo()
A JSON string for selecting additional features.
public RunJobFlowRequest withAdditionalInfo(String additionalInfo)
A JSON string for selecting additional features.
additionalInfo
- A JSON string for selecting additional features.public void setAmiVersion(String amiVersion)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use ReleaseLabel.
The version of the Amazon Machine Image (AMI) to use when launching Amazon EC2 instances in the job flow. The following values are valid:
The version number of the AMI to use, for example, "2.0."
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.
For details about the AMI versions currently supported by Amazon Elastic MapReduce, see AMI Versions Supported in Elastic MapReduce in the Amazon Elastic MapReduce Developer Guide.
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).
amiVersion
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use ReleaseLabel.
The version of the Amazon Machine Image (AMI) to use when launching Amazon EC2 instances in the job flow. The following values are valid:
The version number of the AMI to use, for example, "2.0."
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.
For details about the AMI versions currently supported by Amazon Elastic MapReduce, see AMI Versions Supported in Elastic MapReduce in the Amazon Elastic MapReduce Developer Guide.
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).
public String getAmiVersion()
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use ReleaseLabel.
The version of the Amazon Machine Image (AMI) to use when launching Amazon EC2 instances in the job flow. The following values are valid:
The version number of the AMI to use, for example, "2.0."
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.
For details about the AMI versions currently supported by Amazon Elastic MapReduce, see AMI Versions Supported in Elastic MapReduce in the Amazon Elastic MapReduce Developer Guide.
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).
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use ReleaseLabel.
The version of the Amazon Machine Image (AMI) to use when launching Amazon EC2 instances in the job flow. The following values are valid:
The version number of the AMI to use, for example, "2.0."
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.
For details about the AMI versions currently supported by Amazon Elastic MapReduce, see AMI Versions Supported in Elastic MapReduce in the Amazon Elastic MapReduce Developer Guide.
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).
public RunJobFlowRequest withAmiVersion(String amiVersion)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use ReleaseLabel.
The version of the Amazon Machine Image (AMI) to use when launching Amazon EC2 instances in the job flow. The following values are valid:
The version number of the AMI to use, for example, "2.0."
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.
For details about the AMI versions currently supported by Amazon Elastic MapReduce, see AMI Versions Supported in Elastic MapReduce in the Amazon Elastic MapReduce Developer Guide.
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).
amiVersion
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use ReleaseLabel.
The version of the Amazon Machine Image (AMI) to use when launching Amazon EC2 instances in the job flow. The following values are valid:
The version number of the AMI to use, for example, "2.0."
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.
For details about the AMI versions currently supported by Amazon Elastic MapReduce, see AMI Versions Supported in Elastic MapReduce in the Amazon Elastic MapReduce Developer Guide.
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).
public void setReleaseLabel(String releaseLabel)
Amazon EMR releases 4.x or later.
The release label for the Amazon EMR release. For Amazon EMR 3.x and 2.x AMIs, use amiVersion instead instead of ReleaseLabel.
releaseLabel
- Amazon EMR releases 4.x or later.
The release label for the Amazon EMR release. For Amazon EMR 3.x and 2.x AMIs, use amiVersion instead instead of ReleaseLabel.
public String getReleaseLabel()
Amazon EMR releases 4.x or later.
The release label for the Amazon EMR release. For Amazon EMR 3.x and 2.x AMIs, use amiVersion instead instead of ReleaseLabel.
Amazon EMR releases 4.x or later.
The release label for the Amazon EMR release. For Amazon EMR 3.x and 2.x AMIs, use amiVersion instead instead of ReleaseLabel.
public RunJobFlowRequest withReleaseLabel(String releaseLabel)
Amazon EMR releases 4.x or later.
The release label for the Amazon EMR release. For Amazon EMR 3.x and 2.x AMIs, use amiVersion instead instead of ReleaseLabel.
releaseLabel
- Amazon EMR releases 4.x or later.
The release label for the Amazon EMR release. For Amazon EMR 3.x and 2.x AMIs, use amiVersion instead instead of ReleaseLabel.
public void setInstances(JobFlowInstancesConfig instances)
A specification of the number and type of Amazon EC2 instances on which to run the job flow.
instances
- A specification of the number and type of Amazon EC2 instances on which to run the job flow.public JobFlowInstancesConfig getInstances()
A specification of the number and type of Amazon EC2 instances on which to run the job flow.
public RunJobFlowRequest withInstances(JobFlowInstancesConfig instances)
A specification of the number and type of Amazon EC2 instances on which to run the job flow.
instances
- A specification of the number and type of Amazon EC2 instances on which to run the job flow.public List<StepConfig> getSteps()
A list of steps to be executed by the job flow.
public void setSteps(Collection<StepConfig> steps)
A list of steps to be executed by the job flow.
steps
- A list of steps to be executed by the job flow.public RunJobFlowRequest withSteps(StepConfig... steps)
A list of steps to be executed by the job flow.
NOTE: This method appends the values to the existing list (if any). Use
setSteps(java.util.Collection)
or withSteps(java.util.Collection)
if you want to override the
existing values.
steps
- A list of steps to be executed by the job flow.public RunJobFlowRequest withSteps(Collection<StepConfig> steps)
A list of steps to be executed by the job flow.
steps
- A list of steps to be executed by the job flow.public List<BootstrapActionConfig> getBootstrapActions()
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
public void setBootstrapActions(Collection<BootstrapActionConfig> bootstrapActions)
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
bootstrapActions
- A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.public RunJobFlowRequest withBootstrapActions(BootstrapActionConfig... bootstrapActions)
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
NOTE: This method appends the values to the existing list (if any). Use
setBootstrapActions(java.util.Collection)
or withBootstrapActions(java.util.Collection)
if you
want to override the existing values.
bootstrapActions
- A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.public RunJobFlowRequest withBootstrapActions(Collection<BootstrapActionConfig> bootstrapActions)
A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.
bootstrapActions
- A list of bootstrap actions that will be run before Hadoop is started on the cluster nodes.public List<String> getSupportedProducts()
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
public void setSupportedProducts(Collection<String> supportedProducts)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
supportedProducts
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
public RunJobFlowRequest withSupportedProducts(String... supportedProducts)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
NOTE: This method appends the values to the existing list (if any). Use
setSupportedProducts(java.util.Collection)
or withSupportedProducts(java.util.Collection)
if
you want to override the existing values.
supportedProducts
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
public RunJobFlowRequest withSupportedProducts(Collection<String> supportedProducts)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
supportedProducts
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, use Applications.
A list of strings that indicates third-party software to use with the job flow. For more information, see Use Third Party Applications with Amazon EMR. Currently supported values are:
"mapr-m3" - launch the job flow using MapR M3 Edition.
"mapr-m5" - launch the job flow using MapR M5 Edition.
public List<SupportedProductConfig> getNewSupportedProducts()
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
public void setNewSupportedProducts(Collection<SupportedProductConfig> newSupportedProducts)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
newSupportedProducts
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
public RunJobFlowRequest withNewSupportedProducts(SupportedProductConfig... newSupportedProducts)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
NOTE: This method appends the values to the existing list (if any). Use
setNewSupportedProducts(java.util.Collection)
or withNewSupportedProducts(java.util.Collection)
if you want to override the existing values.
newSupportedProducts
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
public RunJobFlowRequest withNewSupportedProducts(Collection<SupportedProductConfig> newSupportedProducts)
For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
newSupportedProducts
- For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and greater, 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. Currently 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.
public List<Application> getApplications()
Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
public void setApplications(Collection<Application> applications)
Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
applications
- Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
public RunJobFlowRequest withApplications(Application... applications)
Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
NOTE: This method appends the values to the existing list (if any). Use
setApplications(java.util.Collection)
or withApplications(java.util.Collection)
if you want to
override the existing values.
applications
- Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
public RunJobFlowRequest withApplications(Collection<Application> applications)
Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
applications
- Amazon EMR releases 4.x or later.
A list of applications for the cluster. Valid values are: "Hadoop", "Hive", "Mahout", "Pig", and "Spark." They are case insensitive.
public List<Configuration> getConfigurations()
Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
public void setConfigurations(Collection<Configuration> configurations)
Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
configurations
- Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
public RunJobFlowRequest withConfigurations(Configuration... configurations)
Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
NOTE: This method appends the values to the existing list (if any). Use
setConfigurations(java.util.Collection)
or withConfigurations(java.util.Collection)
if you want
to override the existing values.
configurations
- Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
public RunJobFlowRequest withConfigurations(Collection<Configuration> configurations)
Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
configurations
- Amazon EMR releases 4.x or later.
The list of configurations supplied for the EMR cluster you are creating.
public void setVisibleToAllUsers(Boolean visibleToAllUsers)
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow. 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 job flow. If it is set to false
, only the IAM user that created the job
flow can view and manage it.
visibleToAllUsers
- Whether the job flow is visible to all IAM users of the AWS account associated with the job flow. 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 job flow. If it is set to false
, only the IAM user that
created the job flow can view and manage it.public Boolean getVisibleToAllUsers()
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow. 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 job flow. If it is set to false
, only the IAM user that created the job
flow can view and manage it.
true
, all IAM users of that AWS account can view and (if they have the
proper policy permissions set) manage the job flow. If it is set to false
, only the IAM user
that created the job flow can view and manage it.public RunJobFlowRequest withVisibleToAllUsers(Boolean visibleToAllUsers)
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow. 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 job flow. If it is set to false
, only the IAM user that created the job
flow can view and manage it.
visibleToAllUsers
- Whether the job flow is visible to all IAM users of the AWS account associated with the job flow. 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 job flow. If it is set to false
, only the IAM user that
created the job flow can view and manage it.public Boolean isVisibleToAllUsers()
Whether the job flow is visible to all IAM users of the AWS account associated with the job flow. 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 job flow. If it is set to false
, only the IAM user that created the job
flow can view and manage it.
true
, all IAM users of that AWS account can view and (if they have the
proper policy permissions set) manage the job flow. If it is set to false
, only the IAM user
that created the job flow can view and manage it.public void setJobFlowRole(String jobFlowRole)
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.
jobFlowRole
- 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.public String getJobFlowRole()
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.
EMR_EC2_DefaultRole
. In order to use the
default role, you must have already created it using the CLI or console.public RunJobFlowRequest withJobFlowRole(String jobFlowRole)
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.
jobFlowRole
- 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.public void setServiceRole(String serviceRole)
The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.
serviceRole
- The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.public String getServiceRole()
The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.
public RunJobFlowRequest withServiceRole(String serviceRole)
The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.
serviceRole
- The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf.public List<Tag> getTags()
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
public void setTags(Collection<Tag> tags)
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
tags
- A list of tags to associate with a cluster and propagate to Amazon EC2 instances.public RunJobFlowRequest withTags(Tag... tags)
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
NOTE: This method appends the values to the existing list (if any). Use
setTags(java.util.Collection)
or withTags(java.util.Collection)
if you want to override the
existing values.
tags
- A list of tags to associate with a cluster and propagate to Amazon EC2 instances.public RunJobFlowRequest withTags(Collection<Tag> tags)
A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
tags
- A list of tags to associate with a cluster and propagate to Amazon EC2 instances.public void setSecurityConfiguration(String securityConfiguration)
The name of a security configuration to apply to the cluster.
securityConfiguration
- The name of a security configuration to apply to the cluster.public String getSecurityConfiguration()
The name of a security configuration to apply to the cluster.
public RunJobFlowRequest withSecurityConfiguration(String securityConfiguration)
The name of a security configuration to apply to the cluster.
securityConfiguration
- The name of a security configuration to apply to the cluster.public void setAutoScalingRole(String autoScalingRole)
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.
autoScalingRole
- 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.public String getAutoScalingRole()
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.
EMR_AutoScaling_DefaultRole
.
The IAM role provides permissions that the automatic scaling feature requires to launch and terminate EC2
instances in an instance group.public RunJobFlowRequest withAutoScalingRole(String autoScalingRole)
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.
autoScalingRole
- 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.public void setScaleDownBehavior(String scaleDownBehavior)
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.
scaleDownBehavior
- 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.ScaleDownBehavior
public String getScaleDownBehavior()
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.
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.ScaleDownBehavior
public RunJobFlowRequest withScaleDownBehavior(String scaleDownBehavior)
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.
scaleDownBehavior
- 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.ScaleDownBehavior
public void setScaleDownBehavior(ScaleDownBehavior scaleDownBehavior)
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.
scaleDownBehavior
- 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.ScaleDownBehavior
public RunJobFlowRequest withScaleDownBehavior(ScaleDownBehavior scaleDownBehavior)
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.
scaleDownBehavior
- 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.ScaleDownBehavior
public String toString()
toString
in class Object
Object.toString()
public RunJobFlowRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()
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