Google Cloud Native v0.32.0, Nov 29 23

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

google-native.dataproc/v1.getSessionTemplate

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

Using getSessionTemplate

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

TypeScript
Python
Go
C#
Java
YAML

function getSessionTemplate(args: GetSessionTemplateArgs, opts?: InvokeOptions): Promise<GetSessionTemplateResult>
function getSessionTemplateOutput(args: GetSessionTemplateOutputArgs, opts?: InvokeOptions): Output<GetSessionTemplateResult>

def get_session_template(location: Optional[str] = None,
                         project: Optional[str] = None,
                         session_template_id: Optional[str] = None,
                         opts: Optional[InvokeOptions] = None) -> GetSessionTemplateResult
def get_session_template_output(location: Optional[pulumi.Input[str]] = None,
                         project: Optional[pulumi.Input[str]] = None,
                         session_template_id: Optional[pulumi.Input[str]] = None,
                         opts: Optional[InvokeOptions] = None) -> Output[GetSessionTemplateResult]

func LookupSessionTemplate(ctx *Context, args *LookupSessionTemplateArgs, opts ...InvokeOption) (*LookupSessionTemplateResult, error)
func LookupSessionTemplateOutput(ctx *Context, args *LookupSessionTemplateOutputArgs, opts ...InvokeOption) LookupSessionTemplateResultOutput

> Note: This function is named LookupSessionTemplate in the Go SDK.

public static class GetSessionTemplate 
{
    public static Task<GetSessionTemplateResult> InvokeAsync(GetSessionTemplateArgs args, InvokeOptions? opts = null)
    public static Output<GetSessionTemplateResult> Invoke(GetSessionTemplateInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetSessionTemplateResult> getSessionTemplate(GetSessionTemplateArgs args, InvokeOptions options)
public static Output<GetSessionTemplateResult> getSessionTemplate(GetSessionTemplateArgs args, InvokeOptions options)

fn::invoke:
  function: google-native:dataproc/v1:getSessionTemplate
  arguments:
    # arguments dictionary

The following arguments are supported:

Location string
SessionTemplateId string
Project string

Location string
SessionTemplateId string
Project string

location String
sessionTemplateId String
project String

location string
sessionTemplateId string
project string

location str
session_template_id str
project str

location String
sessionTemplateId String
project String

getSessionTemplate Result

The following output properties are available:

CreateTime string: The time when the template was created.
Creator string: The email address of the user who created the template.
Description string: Optional. Brief description of the template.
EnvironmentConfig Pulumi.GoogleNative.Dataproc.V1.Outputs.EnvironmentConfigResponse: Optional. Environment configuration for session execution.
JupyterSession Pulumi.GoogleNative.Dataproc.V1.Outputs.JupyterConfigResponse: Optional. Jupyter session config.
Labels Dictionary<string, string>: Optional. Labels to associate with sessions created using this template. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty, but, if present, must contain 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a session.
Name string: The resource name of the session template.
RuntimeConfig Pulumi.GoogleNative.Dataproc.V1.Outputs.RuntimeConfigResponse: Optional. Runtime configuration for session execution.
UpdateTime string: The time the template was last updated.
Uuid string: A session template UUID (Unique Universal Identifier). The service generates this value when it creates the session template.

CreateTime string: The time when the template was created.
Creator string: The email address of the user who created the template.
Description string: Optional. Brief description of the template.
EnvironmentConfig EnvironmentConfigResponse: Optional. Environment configuration for session execution.
JupyterSession JupyterConfigResponse: Optional. Jupyter session config.
Labels map[string]string: Optional. Labels to associate with sessions created using this template. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty, but, if present, must contain 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a session.
Name string: The resource name of the session template.
RuntimeConfig RuntimeConfigResponse: Optional. Runtime configuration for session execution.
UpdateTime string: The time the template was last updated.
Uuid string: A session template UUID (Unique Universal Identifier). The service generates this value when it creates the session template.

createTime String: The time when the template was created.
creator String: The email address of the user who created the template.
description String: Optional. Brief description of the template.
environmentConfig EnvironmentConfigResponse: Optional. Environment configuration for session execution.
jupyterSession JupyterConfigResponse: Optional. Jupyter session config.
labels Map<String,String>: Optional. Labels to associate with sessions created using this template. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty, but, if present, must contain 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a session.
name String: The resource name of the session template.
runtimeConfig RuntimeConfigResponse: Optional. Runtime configuration for session execution.
updateTime String: The time the template was last updated.
uuid String: A session template UUID (Unique Universal Identifier). The service generates this value when it creates the session template.

createTime string: The time when the template was created.
creator string: The email address of the user who created the template.
description string: Optional. Brief description of the template.
environmentConfig EnvironmentConfigResponse: Optional. Environment configuration for session execution.
jupyterSession JupyterConfigResponse: Optional. Jupyter session config.
labels {[key: string]: string}: Optional. Labels to associate with sessions created using this template. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty, but, if present, must contain 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a session.
name string: The resource name of the session template.
runtimeConfig RuntimeConfigResponse: Optional. Runtime configuration for session execution.
updateTime string: The time the template was last updated.
uuid string: A session template UUID (Unique Universal Identifier). The service generates this value when it creates the session template.

create_time str: The time when the template was created.
creator str: The email address of the user who created the template.
description str: Optional. Brief description of the template.
environment_config EnvironmentConfigResponse: Optional. Environment configuration for session execution.
jupyter_session JupyterConfigResponse: Optional. Jupyter session config.
labels Mapping[str, str]: Optional. Labels to associate with sessions created using this template. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty, but, if present, must contain 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a session.
name str: The resource name of the session template.
runtime_config RuntimeConfigResponse: Optional. Runtime configuration for session execution.
update_time str: The time the template was last updated.
uuid str: A session template UUID (Unique Universal Identifier). The service generates this value when it creates the session template.

createTime String: The time when the template was created.
creator String: The email address of the user who created the template.
description String: Optional. Brief description of the template.
environmentConfig Property Map: Optional. Environment configuration for session execution.
jupyterSession Property Map: Optional. Jupyter session config.
labels Map<String>: Optional. Labels to associate with sessions created using this template. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty, but, if present, must contain 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a session.
name String: The resource name of the session template.
runtimeConfig Property Map: Optional. Runtime configuration for session execution.
updateTime String: The time the template was last updated.
uuid String: A session template UUID (Unique Universal Identifier). The service generates this value when it creates the session template.

Supporting Types

EnvironmentConfigResponse

ExecutionConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.ExecutionConfigResponse: Optional. Execution configuration for a workload.
PeripheralsConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.PeripheralsConfigResponse: Optional. Peripherals configuration that workload has access to.

ExecutionConfig ExecutionConfigResponse: Optional. Execution configuration for a workload.
PeripheralsConfig PeripheralsConfigResponse: Optional. Peripherals configuration that workload has access to.

executionConfig ExecutionConfigResponse: Optional. Execution configuration for a workload.
peripheralsConfig PeripheralsConfigResponse: Optional. Peripherals configuration that workload has access to.

executionConfig ExecutionConfigResponse: Optional. Execution configuration for a workload.
peripheralsConfig PeripheralsConfigResponse: Optional. Peripherals configuration that workload has access to.

execution_config ExecutionConfigResponse: Optional. Execution configuration for a workload.
peripherals_config PeripheralsConfigResponse: Optional. Peripherals configuration that workload has access to.

executionConfig Property Map: Optional. Execution configuration for a workload.
peripheralsConfig Property Map: Optional. Peripherals configuration that workload has access to.

ExecutionConfigResponse

IdleTtl string: 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 (https://developers.google.com/protocol-buffers/docs/proto3#json)). 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.
KmsKey string: Optional. The Cloud KMS key to use for encryption.
NetworkTags List<string>: Optional. Tags used for network traffic control.
NetworkUri string: Optional. Network URI to connect workload to.
ServiceAccount string: Optional. Service account that used to execute workload.
StagingBucket 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.
SubnetworkUri string: Optional. Subnetwork URI to connect workload to.
Ttl string: Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration (https://protobuf.dev/programming-guides/proto3/#json). 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.

IdleTtl string: 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 (https://developers.google.com/protocol-buffers/docs/proto3#json)). 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.
KmsKey string: Optional. The Cloud KMS key to use for encryption.
NetworkTags []string: Optional. Tags used for network traffic control.
NetworkUri string: Optional. Network URI to connect workload to.
ServiceAccount string: Optional. Service account that used to execute workload.
StagingBucket 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.
SubnetworkUri string: Optional. Subnetwork URI to connect workload to.
Ttl string: Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration (https://protobuf.dev/programming-guides/proto3/#json). 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.

idleTtl String: 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 (https://developers.google.com/protocol-buffers/docs/proto3#json)). 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.
kmsKey String: Optional. The Cloud KMS key to use for encryption.
networkTags List<String>: Optional. Tags used for network traffic control.
networkUri String: Optional. Network URI to connect workload to.
serviceAccount String: Optional. Service account that used to execute workload.
stagingBucket 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.
subnetworkUri String: Optional. Subnetwork URI to connect workload to.
ttl String: Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration (https://protobuf.dev/programming-guides/proto3/#json). 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.

idleTtl string: 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 (https://developers.google.com/protocol-buffers/docs/proto3#json)). 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.
kmsKey string: Optional. The Cloud KMS key to use for encryption.
networkTags string[]: Optional. Tags used for network traffic control.
networkUri string: Optional. Network URI to connect workload to.
serviceAccount string: Optional. Service account that used to execute workload.
stagingBucket 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.
subnetworkUri string: Optional. Subnetwork URI to connect workload to.
ttl string: Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration (https://protobuf.dev/programming-guides/proto3/#json). 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.

idle_ttl str: 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 (https://developers.google.com/protocol-buffers/docs/proto3#json)). 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 str: Optional. The Cloud KMS key to use for encryption.
network_tags Sequence[str]: Optional. Tags used for network traffic control.
network_uri str: Optional. Network URI to connect workload to.
service_account str: Optional. Service account that used to execute workload.
staging_bucket str: 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 str: Optional. Subnetwork URI to connect workload to.
ttl str: Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration (https://protobuf.dev/programming-guides/proto3/#json). 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.

idleTtl String: 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 (https://developers.google.com/protocol-buffers/docs/proto3#json)). 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.
kmsKey String: Optional. The Cloud KMS key to use for encryption.
networkTags List<String>: Optional. Tags used for network traffic control.
networkUri String: Optional. Network URI to connect workload to.
serviceAccount String: Optional. Service account that used to execute workload.
stagingBucket 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.
subnetworkUri String: Optional. Subnetwork URI to connect workload to.
ttl String: Optional. The duration after which the workload will be terminated, specified as the JSON representation for Duration (https://protobuf.dev/programming-guides/proto3/#json). 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.

JupyterConfigResponse

DisplayName string: Optional. Display name, shown in the Jupyter kernelspec card.
Kernel string: Optional. Kernel

DisplayName string: Optional. Display name, shown in the Jupyter kernelspec card.
Kernel string: Optional. Kernel

displayName String: Optional. Display name, shown in the Jupyter kernelspec card.
kernel String: Optional. Kernel

displayName string: Optional. Display name, shown in the Jupyter kernelspec card.
kernel string: Optional. Kernel

display_name str: Optional. Display name, shown in the Jupyter kernelspec card.
kernel str: Optional. Kernel

displayName String: Optional. Display name, shown in the Jupyter kernelspec card.
kernel String: Optional. Kernel

PeripheralsConfigResponse

MetastoreService string: Optional. Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[region]/services/[service_id]
SparkHistoryServerConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

MetastoreService string: Optional. Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[region]/services/[service_id]
SparkHistoryServerConfig SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastoreService String: Optional. Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[region]/services/[service_id]
sparkHistoryServerConfig SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastoreService string: Optional. Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[region]/services/[service_id]
sparkHistoryServerConfig SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastore_service str: Optional. Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[region]/services/[service_id]
spark_history_server_config SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastoreService String: Optional. Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[region]/services/[service_id]
sparkHistoryServerConfig Property Map: Optional. The Spark History Server configuration for the workload.

PyPiRepositoryConfigResponse

PypiRepository string: Optional. PyPi repository address

PypiRepository string: Optional. PyPi repository address

pypiRepository String: Optional. PyPi repository address

pypiRepository string: Optional. PyPi repository address

pypi_repository str: Optional. PyPi repository address

pypiRepository String: Optional. PyPi repository address

RepositoryConfigResponse

PypiRepositoryConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.PyPiRepositoryConfigResponse: Optional. Configuration for PyPi repository.

PypiRepositoryConfig PyPiRepositoryConfigResponse: Optional. Configuration for PyPi repository.

pypiRepositoryConfig PyPiRepositoryConfigResponse: Optional. Configuration for PyPi repository.

pypiRepositoryConfig PyPiRepositoryConfigResponse: Optional. Configuration for PyPi repository.

pypi_repository_config PyPiRepositoryConfigResponse: Optional. Configuration for PyPi repository.

pypiRepositoryConfig Property Map: Optional. Configuration for PyPi repository.

RuntimeConfigResponse

ContainerImage string: Optional. Optional custom container image for the job runtime environment. If not specified, a default container image will be used.
Properties Dictionary<string, string>: Optional. A mapping of property names to values, which are used to configure workload execution.
RepositoryConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.RepositoryConfigResponse: Optional. Dependency repository configuration.
Version string: Optional. Version of the batch runtime.

ContainerImage string: Optional. Optional custom container image for the job runtime environment. If not specified, a default container image will be used.
Properties map[string]string: Optional. A mapping of property names to values, which are used to configure workload execution.
RepositoryConfig RepositoryConfigResponse: Optional. Dependency repository configuration.
Version string: Optional. Version of the batch runtime.

containerImage String: Optional. Optional custom container image for the job runtime environment. If not specified, a default container image will be used.
properties Map<String,String>: Optional. A mapping of property names to values, which are used to configure workload execution.
repositoryConfig RepositoryConfigResponse: Optional. Dependency repository configuration.
version String: Optional. Version of the batch runtime.

containerImage string: Optional. Optional custom container image for the job runtime environment. If not specified, a default container image will be used.
properties {[key: string]: string}: Optional. A mapping of property names to values, which are used to configure workload execution.
repositoryConfig RepositoryConfigResponse: Optional. Dependency repository configuration.
version string: Optional. Version of the batch runtime.

container_image str: Optional. Optional custom container image for the job runtime environment. If not specified, a default container image will be used.
properties Mapping[str, str]: Optional. A mapping of property names to values, which are used to configure workload execution.
repository_config RepositoryConfigResponse: Optional. Dependency repository configuration.
version str: Optional. Version of the batch runtime.

containerImage String: Optional. Optional custom container image for the job runtime environment. If not specified, a default container image will be used.
properties Map<String>: Optional. A mapping of property names to values, which are used to configure workload execution.
repositoryConfig Property Map: Optional. Dependency repository configuration.
version String: Optional. Version of the batch runtime.

SparkHistoryServerConfigResponse

DataprocCluster string: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

DataprocCluster string: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataprocCluster String: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataprocCluster string: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataproc_cluster str: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataprocCluster String: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.dataproc/v1.getSessionTemplate

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Using getSessionTemplate

getSessionTemplate Result

Supporting Types

EnvironmentConfigResponse

ExecutionConfigResponse

JupyterConfigResponse

PeripheralsConfigResponse

PyPiRepositoryConfigResponse

RepositoryConfigResponse

RuntimeConfigResponse

SparkHistoryServerConfigResponse

Package Details

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