// 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": {

	xioutil "github.com/minio/minio/internal/ioutil"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/pkg/v3/sync/errgroup"
	"github.com/minio/pkg/v3/wildcard"
	"github.com/minio/pkg/v3/workers"
	"github.com/puzpuzpuz/xsync/v3"
)

type erasureServerPools struct {
	poolMetaMutex sync.RWMutex
	poolMeta      poolMeta

	rebalMu   sync.RWMutex
	rebalMeta *rebalanceMeta

	deploymentID     [16]byte

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.

func TestListObjectsWithILM(t *testing.T) {
	ExecObjectLayerTest(t, testListObjectsWithILM)
}

func testListObjectsWithILM(obj ObjectLayer, instanceType string, t1 TestErrHandler) {
	// Prepare lifecycle expiration workers
	es := newExpiryState(t1.Context(), obj, 0)
	globalExpiryState = es

	t, _ := t1.(*testing.T)

	objContent := "test-content"
	objMd5 := md5.Sum([]byte(objContent))

	uploads := []struct {

  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

				errFileVersionNotFound,
				errFileCorrupt,
			) {
				missingBlocks++
			}
		}

		// if missing metadata can be reconstructed, attempt to reconstruct.
		// additionally do not heal delete markers inline, let them be
		// healed upon regular heal process.
		if missingBlocks > 0 && missingBlocks < fi.Erasure.DataBlocks {
			globalMRFState.addPartialOp(PartialOperation{
				Bucket:    fi.Volume,

	public final fun get (Lokhttp3/TlsVersion;Lokhttp3/CipherSuite;Ljava/util/List;Ljava/util/List;)Lokhttp3/Handshake;
}

public final class okhttp3/Headers : java/lang/Iterable, kotlin/jvm/internal/markers/KMappedMarker {
	public static final field Companion Lokhttp3/Headers$Companion;
	public static final field EMPTY Lokhttp3/Headers;
	public final fun -deprecated_size ()I
	public final fun byteCount ()J