{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-binds #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}

-- Derived from AWS service descriptions, licensed under Apache 2.0.

-- |
-- Module      : Amazonka.Glue.StartJobRun
-- Copyright   : (c) 2013-2023 Brendan Hay
-- License     : Mozilla Public License, v. 2.0.
-- Maintainer  : Brendan Hay
-- Stability   : auto-generated
-- Portability : non-portable (GHC extensions)
--
-- Starts a job run using a job definition.
module Amazonka.Glue.StartJobRun
  ( -- * Creating a Request
    StartJobRun (..),
    newStartJobRun,

    -- * Request Lenses
    startJobRun_allocatedCapacity,
    startJobRun_arguments,
    startJobRun_executionClass,
    startJobRun_jobRunId,
    startJobRun_maxCapacity,
    startJobRun_notificationProperty,
    startJobRun_numberOfWorkers,
    startJobRun_securityConfiguration,
    startJobRun_timeout,
    startJobRun_workerType,
    startJobRun_jobName,

    -- * Destructuring the Response
    StartJobRunResponse (..),
    newStartJobRunResponse,

    -- * Response Lenses
    startJobRunResponse_jobRunId,
    startJobRunResponse_httpStatus,
  )
where

import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.Glue.Types
import qualified Amazonka.Prelude as Prelude
import qualified Amazonka.Request as Request
import qualified Amazonka.Response as Response

-- | /See:/ 'newStartJobRun' smart constructor.
data StartJobRun = StartJobRun'
  { -- | 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
    -- <https://aws.amazon.com/glue/pricing/ Glue pricing page>.
    allocatedCapacity :: Prelude.Maybe Prelude.Int,
    -- | The job arguments specifically for 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
    -- <https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html Calling Glue APIs in Python>
    -- topic in the developer guide.
    --
    -- For information about the key-value pairs that Glue consumes to set up
    -- your job, see the
    -- <https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html Special Parameters Used by Glue>
    -- topic in the developer guide.
    arguments :: Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text),
    -- | 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 :: Prelude.Maybe ExecutionClass,
    -- | The ID of a previous @JobRun@ to retry.
    jobRunId :: Prelude.Maybe Prelude.Text,
    -- | 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
    -- <https://aws.amazon.com/glue/pricing/ Glue pricing page>.
    --
    -- Do not set @Max Capacity@ if using @WorkerType@ and @NumberOfWorkers@.
    --
    -- The value that can be allocated for @MaxCapacity@ depends on whether you
    -- are running a Python shell job, or an Apache Spark 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\"), you can allocate a minimum of 2
    --     DPUs. The default is 10 DPUs. This job type cannot have a fractional
    --     DPU allocation.
    maxCapacity :: Prelude.Maybe Prelude.Double,
    -- | Specifies configuration properties of a job run notification.
    notificationProperty :: Prelude.Maybe NotificationProperty,
    -- | The number of workers of a defined @workerType@ that are allocated when
    -- a job runs.
    numberOfWorkers :: Prelude.Maybe Prelude.Int,
    -- | The name of the @SecurityConfiguration@ structure to be used with this
    -- job run.
    securityConfiguration :: Prelude.Maybe Prelude.Text,
    -- | 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 :: Prelude.Maybe Prelude.Natural,
    -- | The type of predefined worker that is allocated when a job runs. Accepts
    -- a value of Standard, G.1X, G.2X, or G.025X.
    --
    -- -   For the @Standard@ worker type, each worker provides 4 vCPU, 16 GB
    --     of memory and a 50GB disk, and 2 executors per worker.
    --
    -- -   For the @G.1X@ worker type, each worker provides 4 vCPU, 16 GB of
    --     memory and a 64GB disk, and 1 executor per worker.
    --
    -- -   For the @G.2X@ worker type, each worker provides 8 vCPU, 32 GB of
    --     memory and a 128GB disk, and 1 executor per worker.
    --
    -- -   For the @G.025X@ worker type, each worker maps to 0.25 DPU (2 vCPU,
    --     4 GB of memory, 64 GB disk), 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.
    workerType :: Prelude.Maybe WorkerType,
    -- | The name of the job definition to use.
    jobName :: Prelude.Text
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'StartJobRun' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'allocatedCapacity', 'startJobRun_allocatedCapacity' - 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
-- <https://aws.amazon.com/glue/pricing/ Glue pricing page>.
--
-- 'arguments', 'startJobRun_arguments' - The job arguments specifically for 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
-- <https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html Calling Glue APIs in Python>
-- topic in the developer guide.
--
-- For information about the key-value pairs that Glue consumes to set up
-- your job, see the
-- <https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html Special Parameters Used by Glue>
-- topic in the developer guide.
--
-- 'executionClass', 'startJobRun_executionClass' - 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.
--
-- 'jobRunId', 'startJobRun_jobRunId' - The ID of a previous @JobRun@ to retry.
--
-- 'maxCapacity', 'startJobRun_maxCapacity' - 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
-- <https://aws.amazon.com/glue/pricing/ Glue pricing page>.
--
-- Do not set @Max Capacity@ if using @WorkerType@ and @NumberOfWorkers@.
--
-- The value that can be allocated for @MaxCapacity@ depends on whether you
-- are running a Python shell job, or an Apache Spark 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\"), you can allocate a minimum of 2
--     DPUs. The default is 10 DPUs. This job type cannot have a fractional
--     DPU allocation.
--
-- 'notificationProperty', 'startJobRun_notificationProperty' - Specifies configuration properties of a job run notification.
--
-- 'numberOfWorkers', 'startJobRun_numberOfWorkers' - The number of workers of a defined @workerType@ that are allocated when
-- a job runs.
--
-- 'securityConfiguration', 'startJobRun_securityConfiguration' - The name of the @SecurityConfiguration@ structure to be used with this
-- job run.
--
-- 'timeout', 'startJobRun_timeout' - 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).
--
-- 'workerType', 'startJobRun_workerType' - The type of predefined worker that is allocated when a job runs. Accepts
-- a value of Standard, G.1X, G.2X, or G.025X.
--
-- -   For the @Standard@ worker type, each worker provides 4 vCPU, 16 GB
--     of memory and a 50GB disk, and 2 executors per worker.
--
-- -   For the @G.1X@ worker type, each worker provides 4 vCPU, 16 GB of
--     memory and a 64GB disk, and 1 executor per worker.
--
-- -   For the @G.2X@ worker type, each worker provides 8 vCPU, 32 GB of
--     memory and a 128GB disk, and 1 executor per worker.
--
-- -   For the @G.025X@ worker type, each worker maps to 0.25 DPU (2 vCPU,
--     4 GB of memory, 64 GB disk), 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.
--
-- 'jobName', 'startJobRun_jobName' - The name of the job definition to use.
newStartJobRun ::
  -- | 'jobName'
  Prelude.Text ->
  StartJobRun
newStartJobRun pJobName_ =
  StartJobRun'
    { allocatedCapacity = Prelude.Nothing,
      arguments = Prelude.Nothing,
      executionClass = Prelude.Nothing,
      jobRunId = Prelude.Nothing,
      maxCapacity = Prelude.Nothing,
      notificationProperty = Prelude.Nothing,
      numberOfWorkers = Prelude.Nothing,
      securityConfiguration = Prelude.Nothing,
      timeout = Prelude.Nothing,
      workerType = Prelude.Nothing,
      jobName = pJobName_
    }

-- | 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
-- <https://aws.amazon.com/glue/pricing/ Glue pricing page>.
startJobRun_allocatedCapacity :: Lens.Lens' StartJobRun (Prelude.Maybe Prelude.Int)
startJobRun_allocatedCapacity = Lens.lens (\StartJobRun' {allocatedCapacity} -> allocatedCapacity) (\s@StartJobRun' {} a -> s {allocatedCapacity = a} :: StartJobRun)

-- | The job arguments specifically for 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
-- <https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html Calling Glue APIs in Python>
-- topic in the developer guide.
--
-- For information about the key-value pairs that Glue consumes to set up
-- your job, see the
-- <https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html Special Parameters Used by Glue>
-- topic in the developer guide.
startJobRun_arguments :: Lens.Lens' StartJobRun (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text))
startJobRun_arguments = Lens.lens (\StartJobRun' {arguments} -> arguments) (\s@StartJobRun' {} a -> s {arguments = a} :: StartJobRun) Prelude.. Lens.mapping Lens.coerced

-- | 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.
startJobRun_executionClass :: Lens.Lens' StartJobRun (Prelude.Maybe ExecutionClass)
startJobRun_executionClass = Lens.lens (\StartJobRun' {executionClass} -> executionClass) (\s@StartJobRun' {} a -> s {executionClass = a} :: StartJobRun)

-- | The ID of a previous @JobRun@ to retry.
startJobRun_jobRunId :: Lens.Lens' StartJobRun (Prelude.Maybe Prelude.Text)
startJobRun_jobRunId = Lens.lens (\StartJobRun' {jobRunId} -> jobRunId) (\s@StartJobRun' {} a -> s {jobRunId = a} :: StartJobRun)

-- | 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
-- <https://aws.amazon.com/glue/pricing/ Glue pricing page>.
--
-- Do not set @Max Capacity@ if using @WorkerType@ and @NumberOfWorkers@.
--
-- The value that can be allocated for @MaxCapacity@ depends on whether you
-- are running a Python shell job, or an Apache Spark 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\"), you can allocate a minimum of 2
--     DPUs. The default is 10 DPUs. This job type cannot have a fractional
--     DPU allocation.
startJobRun_maxCapacity :: Lens.Lens' StartJobRun (Prelude.Maybe Prelude.Double)
startJobRun_maxCapacity = Lens.lens (\StartJobRun' {maxCapacity} -> maxCapacity) (\s@StartJobRun' {} a -> s {maxCapacity = a} :: StartJobRun)

-- | Specifies configuration properties of a job run notification.
startJobRun_notificationProperty :: Lens.Lens' StartJobRun (Prelude.Maybe NotificationProperty)
startJobRun_notificationProperty = Lens.lens (\StartJobRun' {notificationProperty} -> notificationProperty) (\s@StartJobRun' {} a -> s {notificationProperty = a} :: StartJobRun)

-- | The number of workers of a defined @workerType@ that are allocated when
-- a job runs.
startJobRun_numberOfWorkers :: Lens.Lens' StartJobRun (Prelude.Maybe Prelude.Int)
startJobRun_numberOfWorkers = Lens.lens (\StartJobRun' {numberOfWorkers} -> numberOfWorkers) (\s@StartJobRun' {} a -> s {numberOfWorkers = a} :: StartJobRun)

-- | The name of the @SecurityConfiguration@ structure to be used with this
-- job run.
startJobRun_securityConfiguration :: Lens.Lens' StartJobRun (Prelude.Maybe Prelude.Text)
startJobRun_securityConfiguration = Lens.lens (\StartJobRun' {securityConfiguration} -> securityConfiguration) (\s@StartJobRun' {} a -> s {securityConfiguration = a} :: StartJobRun)

-- | 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).
startJobRun_timeout :: Lens.Lens' StartJobRun (Prelude.Maybe Prelude.Natural)
startJobRun_timeout = Lens.lens (\StartJobRun' {timeout} -> timeout) (\s@StartJobRun' {} a -> s {timeout = a} :: StartJobRun)

-- | The type of predefined worker that is allocated when a job runs. Accepts
-- a value of Standard, G.1X, G.2X, or G.025X.
--
-- -   For the @Standard@ worker type, each worker provides 4 vCPU, 16 GB
--     of memory and a 50GB disk, and 2 executors per worker.
--
-- -   For the @G.1X@ worker type, each worker provides 4 vCPU, 16 GB of
--     memory and a 64GB disk, and 1 executor per worker.
--
-- -   For the @G.2X@ worker type, each worker provides 8 vCPU, 32 GB of
--     memory and a 128GB disk, and 1 executor per worker.
--
-- -   For the @G.025X@ worker type, each worker maps to 0.25 DPU (2 vCPU,
--     4 GB of memory, 64 GB disk), 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.
startJobRun_workerType :: Lens.Lens' StartJobRun (Prelude.Maybe WorkerType)
startJobRun_workerType = Lens.lens (\StartJobRun' {workerType} -> workerType) (\s@StartJobRun' {} a -> s {workerType = a} :: StartJobRun)

-- | The name of the job definition to use.
startJobRun_jobName :: Lens.Lens' StartJobRun Prelude.Text
startJobRun_jobName = Lens.lens (\StartJobRun' {jobName} -> jobName) (\s@StartJobRun' {} a -> s {jobName = a} :: StartJobRun)

instance Core.AWSRequest StartJobRun where
  type AWSResponse StartJobRun = StartJobRunResponse
  request overrides =
    Request.postJSON (overrides defaultService)
  response =
    Response.receiveJSON
      ( \s h x ->
          StartJobRunResponse'
            Prelude.<$> (x Data..?> "JobRunId")
            Prelude.<*> (Prelude.pure (Prelude.fromEnum s))
      )

instance Prelude.Hashable StartJobRun where
  hashWithSalt _salt StartJobRun' {..} =
    _salt
      `Prelude.hashWithSalt` allocatedCapacity
      `Prelude.hashWithSalt` arguments
      `Prelude.hashWithSalt` executionClass
      `Prelude.hashWithSalt` jobRunId
      `Prelude.hashWithSalt` maxCapacity
      `Prelude.hashWithSalt` notificationProperty
      `Prelude.hashWithSalt` numberOfWorkers
      `Prelude.hashWithSalt` securityConfiguration
      `Prelude.hashWithSalt` timeout
      `Prelude.hashWithSalt` workerType
      `Prelude.hashWithSalt` jobName

instance Prelude.NFData StartJobRun where
  rnf StartJobRun' {..} =
    Prelude.rnf allocatedCapacity
      `Prelude.seq` Prelude.rnf arguments
      `Prelude.seq` Prelude.rnf executionClass
      `Prelude.seq` Prelude.rnf jobRunId
      `Prelude.seq` Prelude.rnf maxCapacity
      `Prelude.seq` Prelude.rnf notificationProperty
      `Prelude.seq` Prelude.rnf numberOfWorkers
      `Prelude.seq` Prelude.rnf securityConfiguration
      `Prelude.seq` Prelude.rnf timeout
      `Prelude.seq` Prelude.rnf workerType
      `Prelude.seq` Prelude.rnf jobName

instance Data.ToHeaders StartJobRun where
  toHeaders =
    Prelude.const
      ( Prelude.mconcat
          [ "X-Amz-Target"
              Data.=# ("AWSGlue.StartJobRun" :: Prelude.ByteString),
            "Content-Type"
              Data.=# ( "application/x-amz-json-1.1" ::
                          Prelude.ByteString
                      )
          ]
      )

instance Data.ToJSON StartJobRun where
  toJSON StartJobRun' {..} =
    Data.object
      ( Prelude.catMaybes
          [ ("AllocatedCapacity" Data..=)
              Prelude.<$> allocatedCapacity,
            ("Arguments" Data..=) Prelude.<$> arguments,
            ("ExecutionClass" Data..=)
              Prelude.<$> executionClass,
            ("JobRunId" Data..=) Prelude.<$> jobRunId,
            ("MaxCapacity" Data..=) Prelude.<$> maxCapacity,
            ("NotificationProperty" Data..=)
              Prelude.<$> notificationProperty,
            ("NumberOfWorkers" Data..=)
              Prelude.<$> numberOfWorkers,
            ("SecurityConfiguration" Data..=)
              Prelude.<$> securityConfiguration,
            ("Timeout" Data..=) Prelude.<$> timeout,
            ("WorkerType" Data..=) Prelude.<$> workerType,
            Prelude.Just ("JobName" Data..= jobName)
          ]
      )

instance Data.ToPath StartJobRun where
  toPath = Prelude.const "/"

instance Data.ToQuery StartJobRun where
  toQuery = Prelude.const Prelude.mempty

-- | /See:/ 'newStartJobRunResponse' smart constructor.
data StartJobRunResponse = StartJobRunResponse'
  { -- | The ID assigned to this job run.
    jobRunId :: Prelude.Maybe Prelude.Text,
    -- | The response's http status code.
    httpStatus :: Prelude.Int
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'StartJobRunResponse' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'jobRunId', 'startJobRunResponse_jobRunId' - The ID assigned to this job run.
--
-- 'httpStatus', 'startJobRunResponse_httpStatus' - The response's http status code.
newStartJobRunResponse ::
  -- | 'httpStatus'
  Prelude.Int ->
  StartJobRunResponse
newStartJobRunResponse pHttpStatus_ =
  StartJobRunResponse'
    { jobRunId = Prelude.Nothing,
      httpStatus = pHttpStatus_
    }

-- | The ID assigned to this job run.
startJobRunResponse_jobRunId :: Lens.Lens' StartJobRunResponse (Prelude.Maybe Prelude.Text)
startJobRunResponse_jobRunId = Lens.lens (\StartJobRunResponse' {jobRunId} -> jobRunId) (\s@StartJobRunResponse' {} a -> s {jobRunId = a} :: StartJobRunResponse)

-- | The response's http status code.
startJobRunResponse_httpStatus :: Lens.Lens' StartJobRunResponse Prelude.Int
startJobRunResponse_httpStatus = Lens.lens (\StartJobRunResponse' {httpStatus} -> httpStatus) (\s@StartJobRunResponse' {} a -> s {httpStatus = a} :: StartJobRunResponse)

instance Prelude.NFData StartJobRunResponse where
  rnf StartJobRunResponse' {..} =
    Prelude.rnf jobRunId
      `Prelude.seq` Prelude.rnf httpStatus