Cloud Dataproc V1 API - Class Google::Cloud::Dataproc::V1::ExecutionConfig (v0.24.1)

Version 0.24.1

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Reference documentation and code samples for the Cloud Dataproc V1 API class Google::Cloud::Dataproc::V1::ExecutionConfig.

Execution configuration for a workload.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#idle_ttl

def idle_ttl() -> ::Google::Protobuf::Duration

Returns

• (::Google::Protobuf::Duration) — Optional. Applies to sessions only. The duration to keep the session alive while it's idling. Exceeding this threshold causes the session to terminate. This field cannot be set on a batch workload. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration). Defaults to 1 hour if not set. If both ttl and idle_ttl are specified for an interactive session, the conditions are treated as OR conditions: the workload will be terminated when it has been idle for idle_ttl or when ttl has been exceeded, whichever occurs first.

#idle_ttl=

def idle_ttl=(value) -> ::Google::Protobuf::Duration

Parameter

• value (::Google::Protobuf::Duration) — Optional. Applies to sessions only. The duration to keep the session alive while it's idling. Exceeding this threshold causes the session to terminate. This field cannot be set on a batch workload. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration). Defaults to 1 hour if not set. If both ttl and idle_ttl are specified for an interactive session, the conditions are treated as OR conditions: the workload will be terminated when it has been idle for idle_ttl or when ttl has been exceeded, whichever occurs first.

Returns

• (::Google::Protobuf::Duration) — Optional. Applies to sessions only. The duration to keep the session alive while it's idling. Exceeding this threshold causes the session to terminate. This field cannot be set on a batch workload. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration). Defaults to 1 hour if not set. If both ttl and idle_ttl are specified for an interactive session, the conditions are treated as OR conditions: the workload will be terminated when it has been idle for idle_ttl or when ttl has been exceeded, whichever occurs first.

#kms_key

def kms_key() -> ::String

Returns

• (::String) — Optional. The Cloud KMS key to use for encryption.

#kms_key=

def kms_key=(value) -> ::String

Parameter

• value (::String) — Optional. The Cloud KMS key to use for encryption.

Returns

• (::String) — Optional. The Cloud KMS key to use for encryption.

#network_tags

def network_tags() -> ::Array<::String>

Returns

• (::Array<::String>) — Optional. Tags used for network traffic control.

#network_tags=

def network_tags=(value) -> ::Array<::String>

Parameter

• value (::Array<::String>) — Optional. Tags used for network traffic control.

Returns

• (::Array<::String>) — Optional. Tags used for network traffic control.

#network_uri

def network_uri() -> ::String

Returns

• (::String) — Optional. Network URI to connect workload to.

#network_uri=

def network_uri=(value) -> ::String

Parameter

• value (::String) — Optional. Network URI to connect workload to.

Returns

• (::String) — Optional. Network URI to connect workload to.

#service_account

def service_account() -> ::String

Returns

• (::String) — Optional. Service account that used to execute workload.

#service_account=

def service_account=(value) -> ::String

Parameter

• value (::String) — Optional. Service account that used to execute workload.

Returns

• (::String) — Optional. Service account that used to execute workload.

#staging_bucket

def staging_bucket() -> ::String

Returns

• (::String) — Optional. A Cloud Storage bucket used to stage workload dependencies, config files, and store workload output and other ephemeral data, such as Spark history files. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location according to the region where your workload is running, and then create and manage project-level, per-location staging and temporary buckets. This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.

#staging_bucket=

def staging_bucket=(value) -> ::String

Parameter

• value (::String) — Optional. A Cloud Storage bucket used to stage workload dependencies, config files, and store workload output and other ephemeral data, such as Spark history files. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location according to the region where your workload is running, and then create and manage project-level, per-location staging and temporary buckets. This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.

Returns

• (::String) — Optional. A Cloud Storage bucket used to stage workload dependencies, config files, and store workload output and other ephemeral data, such as Spark history files. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location according to the region where your workload is running, and then create and manage project-level, per-location staging and temporary buckets. This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.

#subnetwork_uri

def subnetwork_uri() -> ::String

Returns

• (::String) — Optional. Subnetwork URI to connect workload to.

#subnetwork_uri=

def subnetwork_uri=(value) -> ::String

Parameter

• value (::String) — Optional. Subnetwork URI to connect workload to.

Returns

• (::String) — Optional. Subnetwork URI to connect workload to.

#ttl

def ttl() -> ::Google::Protobuf::Duration

Returns

• (::Google::Protobuf::Duration) — Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration. When the workload exceeds this duration, it will be unconditionally terminated without waiting for ongoing work to finish. If ttl is not specified for a batch workload, the workload will be allowed to run until it exits naturally (or run forever without exiting). If ttl is not specified for an interactive session, it defaults to 24 hours. If ttl is not specified for a batch that uses 2.1+ runtime version, it defaults to 4 hours. Minimum value is 10 minutes; maximum value is 14 days. If both ttl and idle_ttl are specified (for an interactive session), the conditions are treated as OR conditions: the workload will be terminated when it has been idle for idle_ttl or when ttl has been exceeded, whichever occurs first.

#ttl=

def ttl=(value) -> ::Google::Protobuf::Duration

Parameter

• value (::Google::Protobuf::Duration) — Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration. When the workload exceeds this duration, it will be unconditionally terminated without waiting for ongoing work to finish. If ttl is not specified for a batch workload, the workload will be allowed to run until it exits naturally (or run forever without exiting). If ttl is not specified for an interactive session, it defaults to 24 hours. If ttl is not specified for a batch that uses 2.1+ runtime version, it defaults to 4 hours. Minimum value is 10 minutes; maximum value is 14 days. If both ttl and idle_ttl are specified (for an interactive session), the conditions are treated as OR conditions: the workload will be terminated when it has been idle for idle_ttl or when ttl has been exceeded, whichever occurs first.

Returns

• (::Google::Protobuf::Duration) — Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration. When the workload exceeds this duration, it will be unconditionally terminated without waiting for ongoing work to finish. If ttl is not specified for a batch workload, the workload will be allowed to run until it exits naturally (or run forever without exiting). If ttl is not specified for an interactive session, it defaults to 24 hours. If ttl is not specified for a batch that uses 2.1+ runtime version, it defaults to 4 hours. Minimum value is 10 minutes; maximum value is 14 days. If both ttl and idle_ttl are specified (for an interactive session), the conditions are treated as OR conditions: the workload will be terminated when it has been idle for idle_ttl or when ttl has been exceeded, whichever occurs first.