{{- if or .Values.buckets .Values.users .Values.policies .Values.customCommands .Values.svcaccts }}
apiVersion: batch/v1
kind: Job
metadata:
  name: {{ template "minio.fullname" . }}-post-job
  labels:
    app: {{ template "minio.name" . }}-post-job
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}
  annotations:
    "helm.sh/hook": post-install,post-upgrade

backup_job_immutable_days.png...

Krishnan Parthasarathi <******@****.***> 1701514293 -0800

Krishnan Parthasarathi <******@****.***> 1701514293 -0800

)

// Start the batch key rottion job, resumes if there was a pending job via "job.ID"
func (r *BatchJobKeyRotateV1) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),
		StartTime: job.Started,
	}
	if err := ri.load(ctx, api, job); err != nil {
		return err
	}
	if ri.Complete {
		return nil

  // a Job is created with suspend set to true, no Pods are created by the Job
  // controller. If a Job is suspended after creation (i.e. the flag goes from
  // false to true), the Job controller will delete all active Pods associated
  // with this Job. Users must design their workload to gracefully handle this.
  // Suspending a Job will reset the StartTime field of the Job, effectively

	ObjectInfo
	ExpireAll bool
}

// Start the batch expiration job, resumes if there was a pending job via "job.ID"
func (r *BatchJobExpire) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),
		StartTime: job.Started,
	}
	if err := ri.load(ctx, api, job); err != nil {
		return err
	}

  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

  const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0";
  const char* first_device_name =
      "/job:localhost/replica:0/task:0/device:CPU:0";
  const char* second_device_name =
      "/job:localhost/replica:0/task:0/device:CPU:1";
  std::array<const char*, 2> underlying_devices{first_device_name,

namespace {

using ::tensorflow::string;

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index) {
  tensorflow::JobDef* job_def = server_def->mutable_cluster()->mutable_job(0);
  int port = tensorflow::testing::PickUnusedPortOrDie();
  job_def->mutable_tasks()->at(task_index) =
      tensorflow::strings::StrCat("localhost:", port);
}

void CheckTFE_TensorHandleHasFloats(TFE_TensorHandle* handle,

errors.docid_not_found=Not found Doc ID:{0}
errors.document_not_found=Not found URL of Doc ID:{0}
errors.not_load_from_server=Could not load from this server: {0}
errors.failed_to_start_job=Failed to start job {0}.
errors.failed_to_stop_job=Failed to stop job {0}.
errors.failed_to_download_synonym_file=Failed to download the Synonym file.
errors.failed_to_upload_synonym_file=Failed to upload the Synonym file.