String selector = token.trim();
                    boolean active = true;
                    if (!selector.isEmpty()) {
                        if (selector.charAt(0) == '-' || selector.charAt(0) == '!') {
                            active = false;
                            selector = selector.substring(1);
                        } else if (token.charAt(0) == '+') {

//     create a new backup job and select the object storage or a SOBR as a backup target with this setting, the job default
//     setting will be set to this value. This setting will be only applied to newly created jobs (manual changes with Active Full
//     processing possible from the customer side).
//     Optional value, default 1024, allowed values 256,512,1024,4096,8192, value defined in KB size.
//

// CronJobStatus represents the current state of a cron job.
message CronJobStatus {
  // A list of pointers to currently running jobs.
  // +optional
  // +listType=atomic
  repeated k8s.io.api.core.v1.ObjectReference active = 1;

  // Information when was the last time the job was successfully scheduled.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastScheduleTime = 4;

                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item active"><la:link href="/admin/searchlog">
                                <la:message key="labels.searchlog_title"/>
                            </la:link></li>
                        </ol>
                    </div>

// TF_ExecuteOperation will, if in eager mode, execute, if in graph mode, maybe
// capture some inputs and then add a node in the graph. The output tensors are
// returned through the provided TF_OutputList.
// Any active tape will observe the effects of this execution.
void TF_ExecuteOperation(TF_AbstractOp* op, int num_inputs,
                         TF_AbstractTensor* const* inputs, TF_OutputList* o,
                         TF_Status* s);

until [ $STATUS = 0 ] do ATTEMPTS=`expr $ATTEMPTS + 1` ; echo \"Failed attempts: $ATTEMPTS\" ; if [ $ATTEMPTS -gt $LIMIT ]; then exit 1 ; fi ; sleep 2 ; # 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkBucketExists ($bucket) # Check if the bucket exists, by using the exit code of `mc ls` checkBucketExists() { BUCKET=$1 CMD=$(${MC} ls myminio/$BUCKET > /dev/null 2>&1) return $? } # createBucket ($bucket, $policy, $purge) # Ensure...

	atomic.AddUint64(&p.operations[s], 1)
	if s < scannerMetricLastRealtime {
		p.latency[s].add(d)
	}
}

// timeILM times an ILM action.
// lifecycle.NoneAction is ignored.
// Use for s < scannerMetricLastRealtime
func (p *scannerMetrics) timeILM(a lifecycle.Action) func(versions uint64) {
	if a == lifecycle.NoneAction || a >= lifecycle.ActionCount {
		return func(_ uint64) {}
	}
	startTime := time.Now()

# **Disaggregated HDP Spark and Hive with MinIO**

## **1. Cloud-native Architecture**

![cloud-native](https://github.com/minio/minio/blob/master/docs/bigdata/images/image1.png?raw=true "cloud native architecture")

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the