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Google Cloud Native v0.28.0, Feb 2 23

google-native.dataproc/v1.getBatch

Gets the batch workload resource representation.

Using getBatch

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.

function getBatch(args: GetBatchArgs, opts?: InvokeOptions): Promise<GetBatchResult>
function getBatchOutput(args: GetBatchOutputArgs, opts?: InvokeOptions): Output<GetBatchResult>
def get_batch(batch_id: Optional[str] = None,
              location: Optional[str] = None,
              project: Optional[str] = None,
              opts: Optional[InvokeOptions] = None) -> GetBatchResult
def get_batch_output(batch_id: Optional[pulumi.Input[str]] = None,
              location: Optional[pulumi.Input[str]] = None,
              project: Optional[pulumi.Input[str]] = None,
              opts: Optional[InvokeOptions] = None) -> Output[GetBatchResult]
func LookupBatch(ctx *Context, args *LookupBatchArgs, opts ...InvokeOption) (*LookupBatchResult, error)
func LookupBatchOutput(ctx *Context, args *LookupBatchOutputArgs, opts ...InvokeOption) LookupBatchResultOutput

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

public static class GetBatch 
{
    public static Task<GetBatchResult> InvokeAsync(GetBatchArgs args, InvokeOptions? opts = null)
    public static Output<GetBatchResult> Invoke(GetBatchInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetBatchResult> getBatch(GetBatchArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
fn::invoke:
  function: google-native:dataproc/v1:getBatch
  arguments:
    # arguments dictionary

The following arguments are supported:

BatchId string
Location string
Project string
BatchId string
Location string
Project string
batchId String
location String
project String
batchId string
location string
project string
batchId String
location String
project String

getBatch Result

The following output properties are available:

CreateTime string

The time when the batch was created.

Creator string

The email address of the user who created the batch.

EnvironmentConfig Pulumi.GoogleNative.Dataproc.V1.Outputs.EnvironmentConfigResponse

Optional. Environment configuration for the batch execution.

Labels Dictionary<string, string>

Optional. The labels to associate with this batch. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a batch.

Name string

The resource name of the batch.

Operation string

The resource name of the operation associated with this batch.

PysparkBatch Pulumi.GoogleNative.Dataproc.V1.Outputs.PySparkBatchResponse

Optional. PySpark batch config.

RuntimeConfig Pulumi.GoogleNative.Dataproc.V1.Outputs.RuntimeConfigResponse

Optional. Runtime configuration for the batch execution.

RuntimeInfo Pulumi.GoogleNative.Dataproc.V1.Outputs.RuntimeInfoResponse

Runtime information about batch execution.

SparkBatch Pulumi.GoogleNative.Dataproc.V1.Outputs.SparkBatchResponse

Optional. Spark batch config.

SparkRBatch Pulumi.GoogleNative.Dataproc.V1.Outputs.SparkRBatchResponse

Optional. SparkR batch config.

SparkSqlBatch Pulumi.GoogleNative.Dataproc.V1.Outputs.SparkSqlBatchResponse

Optional. SparkSql batch config.

State string

The state of the batch.

StateHistory List<Pulumi.GoogleNative.Dataproc.V1.Outputs.StateHistoryResponse>

Historical state information for the batch.

StateMessage string

Batch state details, such as a failure description if the state is FAILED.

StateTime string

The time when the batch entered a current state.

Uuid string

A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.

CreateTime string

The time when the batch was created.

Creator string

The email address of the user who created the batch.

EnvironmentConfig EnvironmentConfigResponse

Optional. Environment configuration for the batch execution.

Labels map[string]string

Optional. The labels to associate with this batch. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a batch.

Name string

The resource name of the batch.

Operation string

The resource name of the operation associated with this batch.

PysparkBatch PySparkBatchResponse

Optional. PySpark batch config.

RuntimeConfig RuntimeConfigResponse

Optional. Runtime configuration for the batch execution.

RuntimeInfo RuntimeInfoResponse

Runtime information about batch execution.

SparkBatch SparkBatchResponse

Optional. Spark batch config.

SparkRBatch SparkRBatchResponse

Optional. SparkR batch config.

SparkSqlBatch SparkSqlBatchResponse

Optional. SparkSql batch config.

State string

The state of the batch.

StateHistory []StateHistoryResponse

Historical state information for the batch.

StateMessage string

Batch state details, such as a failure description if the state is FAILED.

StateTime string

The time when the batch entered a current state.

Uuid string

A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.

createTime String

The time when the batch was created.

creator String

The email address of the user who created the batch.

environmentConfig EnvironmentConfigResponse

Optional. Environment configuration for the batch execution.

labels Map<String,String>

Optional. The labels to associate with this batch. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a batch.

name String

The resource name of the batch.

operation String

The resource name of the operation associated with this batch.

pysparkBatch PySparkBatchResponse

Optional. PySpark batch config.

runtimeConfig RuntimeConfigResponse

Optional. Runtime configuration for the batch execution.

runtimeInfo RuntimeInfoResponse

Runtime information about batch execution.

sparkBatch SparkBatchResponse

Optional. Spark batch config.

sparkRBatch SparkRBatchResponse

Optional. SparkR batch config.

sparkSqlBatch SparkSqlBatchResponse

Optional. SparkSql batch config.

state String

The state of the batch.

stateHistory List<StateHistoryResponse>

Historical state information for the batch.

stateMessage String

Batch state details, such as a failure description if the state is FAILED.

stateTime String

The time when the batch entered a current state.

uuid String

A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.

createTime string

The time when the batch was created.

creator string

The email address of the user who created the batch.

environmentConfig EnvironmentConfigResponse

Optional. Environment configuration for the batch execution.

labels {[key: string]: string}

Optional. The labels to associate with this batch. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a batch.

name string

The resource name of the batch.

operation string

The resource name of the operation associated with this batch.

pysparkBatch PySparkBatchResponse

Optional. PySpark batch config.

runtimeConfig RuntimeConfigResponse

Optional. Runtime configuration for the batch execution.

runtimeInfo RuntimeInfoResponse

Runtime information about batch execution.

sparkBatch SparkBatchResponse

Optional. Spark batch config.

sparkRBatch SparkRBatchResponse

Optional. SparkR batch config.

sparkSqlBatch SparkSqlBatchResponse

Optional. SparkSql batch config.

state string

The state of the batch.

stateHistory StateHistoryResponse[]

Historical state information for the batch.

stateMessage string

Batch state details, such as a failure description if the state is FAILED.

stateTime string

The time when the batch entered a current state.

uuid string

A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.

create_time str

The time when the batch was created.

creator str

The email address of the user who created the batch.

environment_config EnvironmentConfigResponse

Optional. Environment configuration for the batch execution.

labels Mapping[str, str]

Optional. The labels to associate with this batch. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a batch.

name str

The resource name of the batch.

operation str

The resource name of the operation associated with this batch.

pyspark_batch PySparkBatchResponse

Optional. PySpark batch config.

runtime_config RuntimeConfigResponse

Optional. Runtime configuration for the batch execution.

runtime_info RuntimeInfoResponse

Runtime information about batch execution.

spark_batch SparkBatchResponse

Optional. Spark batch config.

spark_r_batch SparkRBatchResponse

Optional. SparkR batch config.

spark_sql_batch SparkSqlBatchResponse

Optional. SparkSql batch config.

state str

The state of the batch.

state_history Sequence[StateHistoryResponse]

Historical state information for the batch.

state_message str

Batch state details, such as a failure description if the state is FAILED.

state_time str

The time when the batch entered a current state.

uuid str

A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.

createTime String

The time when the batch was created.

creator String

The email address of the user who created the batch.

environmentConfig Property Map

Optional. Environment configuration for the batch execution.

labels Map<String>

Optional. The labels to associate with this batch. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a batch.

name String

The resource name of the batch.

operation String

The resource name of the operation associated with this batch.

pysparkBatch Property Map

Optional. PySpark batch config.

runtimeConfig Property Map

Optional. Runtime configuration for the batch execution.

runtimeInfo Property Map

Runtime information about batch execution.

sparkBatch Property Map

Optional. Spark batch config.

sparkRBatch Property Map

Optional. SparkR batch config.

sparkSqlBatch Property Map

Optional. SparkSql batch config.

state String

The state of the batch.

stateHistory List<Property Map>

Historical state information for the batch.

stateMessage String

Batch state details, such as a failure description if the state is FAILED.

stateTime String

The time when the batch entered a current state.

uuid String

A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.

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. The duration to keep the session alive while it's idling. Passing this threshold will cause the session to be terminated. 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 4 hours if not set. If both ttl and idle_ttl are specified, the conditions are treated as and OR: the workload will be terminated when it has been idle for idle_ttl or when the ttl has passed, whichever comes 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.

SubnetworkUri string

Optional. Subnetwork URI to connect workload to.

IdleTtl string

Optional. The duration to keep the session alive while it's idling. Passing this threshold will cause the session to be terminated. 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 4 hours if not set. If both ttl and idle_ttl are specified, the conditions are treated as and OR: the workload will be terminated when it has been idle for idle_ttl or when the ttl has passed, whichever comes 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.

SubnetworkUri string

Optional. Subnetwork URI to connect workload to.

idleTtl String

Optional. The duration to keep the session alive while it's idling. Passing this threshold will cause the session to be terminated. 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 4 hours if not set. If both ttl and idle_ttl are specified, the conditions are treated as and OR: the workload will be terminated when it has been idle for idle_ttl or when the ttl has passed, whichever comes 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.

subnetworkUri String

Optional. Subnetwork URI to connect workload to.

idleTtl string

Optional. The duration to keep the session alive while it's idling. Passing this threshold will cause the session to be terminated. 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 4 hours if not set. If both ttl and idle_ttl are specified, the conditions are treated as and OR: the workload will be terminated when it has been idle for idle_ttl or when the ttl has passed, whichever comes 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.

subnetworkUri string

Optional. Subnetwork URI to connect workload to.

idle_ttl str

Optional. The duration to keep the session alive while it's idling. Passing this threshold will cause the session to be terminated. 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 4 hours if not set. If both ttl and idle_ttl are specified, the conditions are treated as and OR: the workload will be terminated when it has been idle for idle_ttl or when the ttl has passed, whichever comes 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.

subnetwork_uri str

Optional. Subnetwork URI to connect workload to.

idleTtl String

Optional. The duration to keep the session alive while it's idling. Passing this threshold will cause the session to be terminated. 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 4 hours if not set. If both ttl and idle_ttl are specified, the conditions are treated as and OR: the workload will be terminated when it has been idle for idle_ttl or when the ttl has passed, whichever comes 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.

subnetworkUri String

Optional. Subnetwork URI to connect workload to.

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.

PySparkBatchResponse

ArchiveUris List<string>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Args List<string>

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

FileUris List<string>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

JarFileUris List<string>

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

MainPythonFileUri string

The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

PythonFileUris List<string>

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

ArchiveUris []string

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Args []string

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

FileUris []string

Optional. HCFS URIs of files to be placed in the working directory of each executor.

JarFileUris []string

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

MainPythonFileUri string

The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

PythonFileUris []string

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

archiveUris List<String>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

mainPythonFileUri String

The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

pythonFileUris List<String>

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

archiveUris string[]

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args string[]

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris string[]

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jarFileUris string[]

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

mainPythonFileUri string

The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

pythonFileUris string[]

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

archive_uris Sequence[str]

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args Sequence[str]

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

file_uris Sequence[str]

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jar_file_uris Sequence[str]

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

main_python_file_uri str

The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

python_file_uris Sequence[str]

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

archiveUris List<String>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

mainPythonFileUri String

The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

pythonFileUris List<String>

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

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.

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.

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.

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.

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.

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.

version String

Optional. Version of the batch runtime.

RuntimeInfoResponse

ApproximateUsage Pulumi.GoogleNative.Dataproc.V1.Inputs.UsageMetricsResponse

Approximate workload resource usage calculated after workload finishes (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

CurrentUsage Pulumi.GoogleNative.Dataproc.V1.Inputs.UsageSnapshotResponse

Snapshot of current workload resource usage.

DiagnosticOutputUri string

A URI pointing to the location of the diagnostics tarball.

Endpoints Dictionary<string, string>

Map of remote access endpoints (such as web interfaces and APIs) to their URIs.

OutputUri string

A URI pointing to the location of the stdout and stderr of the workload.

ApproximateUsage UsageMetricsResponse

Approximate workload resource usage calculated after workload finishes (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

CurrentUsage UsageSnapshotResponse

Snapshot of current workload resource usage.

DiagnosticOutputUri string

A URI pointing to the location of the diagnostics tarball.

Endpoints map[string]string

Map of remote access endpoints (such as web interfaces and APIs) to their URIs.

OutputUri string

A URI pointing to the location of the stdout and stderr of the workload.

approximateUsage UsageMetricsResponse

Approximate workload resource usage calculated after workload finishes (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

currentUsage UsageSnapshotResponse

Snapshot of current workload resource usage.

diagnosticOutputUri String

A URI pointing to the location of the diagnostics tarball.

endpoints Map<String,String>

Map of remote access endpoints (such as web interfaces and APIs) to their URIs.

outputUri String

A URI pointing to the location of the stdout and stderr of the workload.

approximateUsage UsageMetricsResponse

Approximate workload resource usage calculated after workload finishes (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

currentUsage UsageSnapshotResponse

Snapshot of current workload resource usage.

diagnosticOutputUri string

A URI pointing to the location of the diagnostics tarball.

endpoints {[key: string]: string}

Map of remote access endpoints (such as web interfaces and APIs) to their URIs.

outputUri string

A URI pointing to the location of the stdout and stderr of the workload.

approximate_usage UsageMetricsResponse

Approximate workload resource usage calculated after workload finishes (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

current_usage UsageSnapshotResponse

Snapshot of current workload resource usage.

diagnostic_output_uri str

A URI pointing to the location of the diagnostics tarball.

endpoints Mapping[str, str]

Map of remote access endpoints (such as web interfaces and APIs) to their URIs.

output_uri str

A URI pointing to the location of the stdout and stderr of the workload.

approximateUsage Property Map

Approximate workload resource usage calculated after workload finishes (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

currentUsage Property Map

Snapshot of current workload resource usage.

diagnosticOutputUri String

A URI pointing to the location of the diagnostics tarball.

endpoints Map<String>

Map of remote access endpoints (such as web interfaces and APIs) to their URIs.

outputUri String

A URI pointing to the location of the stdout and stderr of the workload.

SparkBatchResponse

ArchiveUris List<string>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Args List<string>

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

FileUris List<string>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

JarFileUris List<string>

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

MainClass string

Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.

MainJarFileUri string

Optional. The HCFS URI of the jar file that contains the main class.

ArchiveUris []string

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Args []string

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

FileUris []string

Optional. HCFS URIs of files to be placed in the working directory of each executor.

JarFileUris []string

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

MainClass string

Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.

MainJarFileUri string

Optional. The HCFS URI of the jar file that contains the main class.

archiveUris List<String>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

mainClass String

Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.

mainJarFileUri String

Optional. The HCFS URI of the jar file that contains the main class.

archiveUris string[]

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args string[]

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris string[]

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jarFileUris string[]

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

mainClass string

Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.

mainJarFileUri string

Optional. The HCFS URI of the jar file that contains the main class.

archive_uris Sequence[str]

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args Sequence[str]

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

file_uris Sequence[str]

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jar_file_uris Sequence[str]

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

main_class str

Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.

main_jar_file_uri str

Optional. The HCFS URI of the jar file that contains the main class.

archiveUris List<String>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

mainClass String

Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.

mainJarFileUri String

Optional. The HCFS URI of the jar file that contains the main class.

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]

SparkRBatchResponse

ArchiveUris List<string>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Args List<string>

Optional. The arguments to pass to the Spark driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

FileUris List<string>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

MainRFileUri string

The HCFS URI of the main R file to use as the driver. Must be a .R or .r file.

ArchiveUris []string

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Args []string

Optional. The arguments to pass to the Spark driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

FileUris []string

Optional. HCFS URIs of files to be placed in the working directory of each executor.

MainRFileUri string

The HCFS URI of the main R file to use as the driver. Must be a .R or .r file.

archiveUris List<String>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

Optional. The arguments to pass to the Spark driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

mainRFileUri String

The HCFS URI of the main R file to use as the driver. Must be a .R or .r file.

archiveUris string[]

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args string[]

Optional. The arguments to pass to the Spark driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris string[]

Optional. HCFS URIs of files to be placed in the working directory of each executor.

mainRFileUri string

The HCFS URI of the main R file to use as the driver. Must be a .R or .r file.

archive_uris Sequence[str]

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args Sequence[str]

Optional. The arguments to pass to the Spark driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

file_uris Sequence[str]

Optional. HCFS URIs of files to be placed in the working directory of each executor.

main_r_file_uri str

The HCFS URI of the main R file to use as the driver. Must be a .R or .r file.

archiveUris List<String>

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

Optional. The arguments to pass to the Spark driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

mainRFileUri String

The HCFS URI of the main R file to use as the driver. Must be a .R or .r file.

SparkSqlBatchResponse

JarFileUris List<string>

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

QueryFileUri string

The HCFS URI of the script that contains Spark SQL queries to execute.

QueryVariables Dictionary<string, string>

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

JarFileUris []string

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

QueryFileUri string

The HCFS URI of the script that contains Spark SQL queries to execute.

QueryVariables map[string]string

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris List<String>

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

queryFileUri String

The HCFS URI of the script that contains Spark SQL queries to execute.

queryVariables Map<String,String>

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris string[]

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

queryFileUri string

The HCFS URI of the script that contains Spark SQL queries to execute.

queryVariables {[key: string]: string}

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jar_file_uris Sequence[str]

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

query_file_uri str

The HCFS URI of the script that contains Spark SQL queries to execute.

query_variables Mapping[str, str]

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris List<String>

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

queryFileUri String

The HCFS URI of the script that contains Spark SQL queries to execute.

queryVariables Map<String>

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

StateHistoryResponse

State string

The state of the batch at this point in history.

StateMessage string

Details about the state at this point in history.

StateStartTime string

The time when the batch entered the historical state.

State string

The state of the batch at this point in history.

StateMessage string

Details about the state at this point in history.

StateStartTime string

The time when the batch entered the historical state.

state String

The state of the batch at this point in history.

stateMessage String

Details about the state at this point in history.

stateStartTime String

The time when the batch entered the historical state.

state string

The state of the batch at this point in history.

stateMessage string

Details about the state at this point in history.

stateStartTime string

The time when the batch entered the historical state.

state str

The state of the batch at this point in history.

state_message str

Details about the state at this point in history.

state_start_time str

The time when the batch entered the historical state.

state String

The state of the batch at this point in history.

stateMessage String

Details about the state at this point in history.

stateStartTime String

The time when the batch entered the historical state.

UsageMetricsResponse

MilliDcuSeconds string

Optional. DCU (Dataproc Compute Units) usage in (milliDCU x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

ShuffleStorageGbSeconds string

Optional. Shuffle storage usage in (GB x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

MilliDcuSeconds string

Optional. DCU (Dataproc Compute Units) usage in (milliDCU x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

ShuffleStorageGbSeconds string

Optional. Shuffle storage usage in (GB x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

milliDcuSeconds String

Optional. DCU (Dataproc Compute Units) usage in (milliDCU x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffleStorageGbSeconds String

Optional. Shuffle storage usage in (GB x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

milliDcuSeconds string

Optional. DCU (Dataproc Compute Units) usage in (milliDCU x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffleStorageGbSeconds string

Optional. Shuffle storage usage in (GB x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

milli_dcu_seconds str

Optional. DCU (Dataproc Compute Units) usage in (milliDCU x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffle_storage_gb_seconds str

Optional. Shuffle storage usage in (GB x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

milliDcuSeconds String

Optional. DCU (Dataproc Compute Units) usage in (milliDCU x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffleStorageGbSeconds String

Optional. Shuffle storage usage in (GB x seconds) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

UsageSnapshotResponse

MilliDcu string

Optional. Milli (one-thousandth) Dataproc Compute Units (DCUs) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

ShuffleStorageGb string

Optional. Shuffle Storage in gigabytes (GB). (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing))

SnapshotTime string

Optional. The timestamp of the usage snapshot.

MilliDcu string

Optional. Milli (one-thousandth) Dataproc Compute Units (DCUs) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

ShuffleStorageGb string

Optional. Shuffle Storage in gigabytes (GB). (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing))

SnapshotTime string

Optional. The timestamp of the usage snapshot.

milliDcu String

Optional. Milli (one-thousandth) Dataproc Compute Units (DCUs) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffleStorageGb String

Optional. Shuffle Storage in gigabytes (GB). (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing))

snapshotTime String

Optional. The timestamp of the usage snapshot.

milliDcu string

Optional. Milli (one-thousandth) Dataproc Compute Units (DCUs) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffleStorageGb string

Optional. Shuffle Storage in gigabytes (GB). (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing))

snapshotTime string

Optional. The timestamp of the usage snapshot.

milli_dcu str

Optional. Milli (one-thousandth) Dataproc Compute Units (DCUs) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffle_storage_gb str

Optional. Shuffle Storage in gigabytes (GB). (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing))

snapshot_time str

Optional. The timestamp of the usage snapshot.

milliDcu String

Optional. Milli (one-thousandth) Dataproc Compute Units (DCUs) (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing)).

shuffleStorageGb String

Optional. Shuffle Storage in gigabytes (GB). (see Dataproc Serverless pricing (https://cloud.google.com/dataproc-serverless/pricing))

snapshotTime String

Optional. The timestamp of the usage snapshot.

Package Details

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