"problems-api",
					"plugins-java-base",
					"build-cache"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"workers",
					"wrapper-main",
					"testing-base-infrastructure",
					"messaging",
					"war",
					"instrumentation-agent-services",
					"build-profile",
					"resources-gcs",
					"ear",

// newBatchJobPool creates a pool of job manifest workers of specified size
func newBatchJobPool(ctx context.Context, o ObjectLayer, workers int) *BatchJobPool {
	jpool := &BatchJobPool{
		ctx:          ctx,
		objLayer:     o,
		jobCh:        make(chan *BatchJobRequest, 10000),
		workerKillCh: make(chan struct{}, workers),
		jobCancelers: make(map[string]context.CancelFunc),
	}

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

Я подготовил для вас Docker-образ, в который включён Gunicorn управляющий процессами (воркерами) Uvicorn, в соответствии с концепциями рассмотренными в предыдущей главе: [Рабочие процессы сервера (воркеры) - Gunicorn совместно с Uvicorn](server-workers.md){.internal-link target=_blank}.

Этот образ может быть полезен для ситуаций описанных тут: [Множество процессов внутри контейнера для особых случаев](#_11).

build:rbe_base --jobs=800
build:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
build:rbe_base --remote_timeout=3600
build:rbe_base --spawn_strategy=remote,worker,standalone,local
# Attempt to minimize the amount of data transfer between bazel and the remote
# workers:
build:rbe_base --remote_download_toplevel
test:rbe_base --test_env=USER=anon

# TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu.

  // Create two worker tasks, using single host server defs.
  // A single host server def contains a client and the remote host.
  // Example:
  //
  //  Worker1:
  //  cluster { job { name: "client" tasks { key: 0 value: "localhost:14525" } }
  //            job { name: "worker" tasks { key: 1 value: "localhost:14523" } }
  //          } job_name: "worker" task_index: 1 protocol: "grpc"
  //

  integrity sha512-WhB9zCku7EGTj/HQQRz5aUQEUeoQZH2bWcltRErOpymJ4boYE6wL9Tbr23krRPSZ+C5zqNSrSw+Cc7sZZ4b7vg==

jest-worker@^27.4.5:
  version "27.5.1"
  resolved "https://registry.yarnpkg.com/jest-worker/-/jest-worker-27.5.1.tgz#8d146f0900e8973b106b6f73cc1e9a8cb86f8db0"
  integrity sha512-7vuh85V5cdDofPyxn58nrPjBktZo0u9x1g8WtjQol+jZDaE+fhN+cIvTj11GndBnMnyfrUOG1sZQxCdjKh+DKg==
  dependencies:

```
KEY:
notify_kafka[:name]  publish bucket notifications to Kafka endpoints

ARGS:
brokers*         (csv)       comma separated list of Kafka broker addresses
topic            (string)    Kafka topic used for bucket notifications
sasl_username    (string)    username for SASL/PLAIN or SASL/SCRAM authentication

		if _, ok := err.(InsufficientReadQuorum); ok {
			return objInfo, InsufficientWriteQuorum{}
		}
		return objInfo, err
	}

	// Delete marker already present we are not going to create new delete markers.
	if pinfo.ObjInfo.DeleteMarker && opts.VersionID == "" {
		pinfo.ObjInfo.Name = decodeDirObject(object)
		return pinfo.ObjInfo, nil
	}

	// Datamovement must never be allowed on the same pool.

		// Test listing an object with uncommon delimiter and matching prefix
		{testBuckets[4], "file1/", "", "guidSplunk", 1000, resultCases[35], nil, true},
		// Test listing at prefix with expected prefix markers
		{testBuckets[5], "dir/", "", SlashSeparator, 1, resultCases[36], nil, true},
		// Test listing with prefix match
		{testBuckets[5], "foo/201910/11", "", "", 1000, resultCases[37], nil, true},