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// Code generated by smithy-go-codegen DO NOT EDIT.
package glue
import (
"context"
"fmt"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/aws/signer/v4"
"github.com/aws/aws-sdk-go-v2/service/glue/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Starts a job run using a job definition.
func (c *Client) StartJobRun(ctx context.Context, params *StartJobRunInput, optFns ...func(*Options)) (*StartJobRunOutput, error) {
if params == nil {
params = &StartJobRunInput{}
}
result, metadata, err := c.invokeOperation(ctx, "StartJobRun", params, optFns, c.addOperationStartJobRunMiddlewares)
if err != nil {
return nil, err
}
out := result.(*StartJobRunOutput)
out.ResultMetadata = metadata
return out, nil
}
type StartJobRunInput struct {
// The name of the job definition to use.
//
// This member is required.
JobName *string
// This field is deprecated. Use MaxCapacity instead. The number of Glue data
// processing units (DPUs) to allocate to this JobRun. You can allocate a minimum
// of 2 DPUs; the default is 10. A DPU is a relative measure of processing power
// that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more
// information, see the Glue pricing page (https://aws.amazon.com/glue/pricing/) .
//
// Deprecated: This property is deprecated, use MaxCapacity instead.
AllocatedCapacity int32
// The job arguments associated with this run. For this job run, they replace the
// default arguments set in the job definition itself. You can specify arguments
// here that your own job-execution script consumes, as well as arguments that Glue
// itself consumes. Job arguments may be logged. Do not pass plaintext secrets as
// arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other
// secret management mechanism if you intend to keep them within the Job. For
// information about how to specify and consume your own Job arguments, see the
// Calling Glue APIs in Python (https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html)
// topic in the developer guide. For information about the arguments you can
// provide to this field when configuring Spark jobs, see the Special Parameters
// Used by Glue (https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html)
// topic in the developer guide. For information about the arguments you can
// provide to this field when configuring Ray jobs, see Using job parameters in
// Ray jobs (https://docs.aws.amazon.com/glue/latest/dg/author-job-ray-job-parameters.html)
// in the developer guide.
Arguments map[string]string
// Indicates whether the job is run with a standard or flexible execution class.
// The standard execution-class is ideal for time-sensitive workloads that require
// fast job startup and dedicated resources. The flexible execution class is
// appropriate for time-insensitive jobs whose start and completion times may vary.
// Only jobs with Glue version 3.0 and above and command type glueetl will be
// allowed to set ExecutionClass to FLEX . The flexible execution class is
// available for Spark jobs.
ExecutionClass types.ExecutionClass
// The ID of a previous JobRun to retry.
JobRunId *string
// For Glue version 1.0 or earlier jobs, using the standard worker type, the
// number of Glue data processing units (DPUs) that can be allocated when this job
// runs. A DPU is a relative measure of processing power that consists of 4 vCPUs
// of compute capacity and 16 GB of memory. For more information, see the Glue
// pricing page (https://aws.amazon.com/glue/pricing/) . For Glue version 2.0+
// jobs, you cannot specify a Maximum capacity . Instead, you should specify a
// Worker type and the Number of workers . Do not set MaxCapacity if using
// WorkerType and NumberOfWorkers . The value that can be allocated for MaxCapacity
// depends on whether you are running a Python shell job, an Apache Spark ETL job,
// or an Apache Spark streaming ETL job:
// - When you specify a Python shell job ( JobCommand.Name ="pythonshell"), you
// can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
// - When you specify an Apache Spark ETL job ( JobCommand.Name ="glueetl") or
// Apache Spark streaming ETL job ( JobCommand.Name ="gluestreaming"), you can
// allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a
// fractional DPU allocation.
MaxCapacity *float64
// Specifies configuration properties of a job run notification.
NotificationProperty *types.NotificationProperty
// The number of workers of a defined workerType that are allocated when a job
// runs.
NumberOfWorkers *int32
// The name of the SecurityConfiguration structure to be used with this job run.
SecurityConfiguration *string
// The JobRun timeout in minutes. This is the maximum time that a job run can
// consume resources before it is terminated and enters TIMEOUT status. This value
// overrides the timeout value set in the parent job. Streaming jobs do not have a
// timeout. The default for non-streaming jobs is 2,880 minutes (48 hours).
Timeout *int32
// The type of predefined worker that is allocated when a job runs. Accepts a
// value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X
// for Ray jobs.
// - For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of
// memory) with 84GB disk (approximately 34GB free), and provides 1 executor per
// worker. We recommend this worker type for workloads such as data transforms,
// joins, and queries, to offers a scalable and cost effective way to run most
// jobs.
// - For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of
// memory) with 128GB disk (approximately 77GB free), and provides 1 executor per
// worker. We recommend this worker type for workloads such as data transforms,
// joins, and queries, to offers a scalable and cost effective way to run most
// jobs.
// - For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of
// memory) with 256GB disk (approximately 235GB free), and provides 1 executor per
// worker. We recommend this worker type for jobs whose workloads contain your most
// demanding transforms, aggregations, joins, and queries. This worker type is
// available only for Glue version 3.0 or later Spark ETL jobs in the following
// Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West
// (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo),
// Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
// - For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of
// memory) with 512GB disk (approximately 487GB free), and provides 1 executor per
// worker. We recommend this worker type for jobs whose workloads contain your most
// demanding transforms, aggregations, joins, and queries. This worker type is
// available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon
// Web Services Regions as supported for the G.4X worker type.
// - For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of
// memory) with 84GB disk (approximately 34GB free), and provides 1 executor per
// worker. We recommend this worker type for low volume streaming jobs. This worker
// type is only available for Glue version 3.0 streaming jobs.
// - For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of
// memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray
// workers based on the autoscaler.
WorkerType types.WorkerType
noSmithyDocumentSerde
}
type StartJobRunOutput struct {
// The ID assigned to this job run.
JobRunId *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationStartJobRunMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsAwsjson11_serializeOpStartJobRun{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpStartJobRun{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "StartJobRun"); err != nil {
return fmt.Errorf("add protocol finalizers: %v", err)
}
if err = addlegacyEndpointContextSetter(stack, options); err != nil {
return err
}
if err = addSetLoggerMiddleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddClientRequestIDMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddComputeContentLengthMiddleware(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = v4.AddComputePayloadSHA256Middleware(stack); err != nil {
return err
}
if err = addRetryMiddlewares(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
return err
}
if err = awsmiddleware.AddRecordResponseTiming(stack); err != nil {
return err
}
if err = addClientUserAgent(stack, options); err != nil {
return err
}
if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = addSetLegacyContextSigningOptionsMiddleware(stack); err != nil {
return err
}
if err = addOpStartJobRunValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opStartJobRun(options.Region), middleware.Before); err != nil {
return err
}
if err = awsmiddleware.AddRecursionDetection(stack); err != nil {
return err
}
if err = addRequestIDRetrieverMiddleware(stack); err != nil {
return err
}
if err = addResponseErrorMiddleware(stack); err != nil {
return err
}
if err = addRequestResponseLogging(stack, options); err != nil {
return err
}
if err = addDisableHTTPSMiddleware(stack, options); err != nil {
return err
}
return nil
}
func newServiceMetadataMiddleware_opStartJobRun(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "StartJobRun",
}
}
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