func (z *erasureServerPools) poolsWithObject(pools []PoolObjInfo, opts ObjectOptions) (errs []poolErrs) {
	for _, pool := range pools {
		if opts.SkipDecommissioned && z.IsSuspended(pool.Index) {
			continue
		}
		// Skip object if it's from pools participating in a rebalance operation.
		if opts.SkipRebalancing && z.IsPoolRebalancing(pool.Index) {
			continue
		}
		if isErrReadQuorum(pool.Err) || pool.Err == nil {

                  allocation for a pool.
                type: boolean
              avoidBuggyIPs:
                default: false
                description: AvoidBuggyIPs prevents addresses ending with .0 and .255
                  to be used by a pool.
                type: boolean
              serviceAllocation:
                description: AllocateTo makes ip pool allocation to specific namespace

			// No ellipses pattern. Anonymize host name from every pool arg
			pools := strings.Fields(poolsArgs)
			anonPools = make([]string, len(pools))
			for index, arg := range pools {
				anonPools[index] = anonAddr(arg)
			}
			return cmdLineWithoutPools + strings.Join(anonPools, " ")
		}

		// Ellipses pattern in pool args. Regex groups:
		// 1 - server prefix
		// 2 - number sequence for servers

		jobCancelers: make(map[string]context.CancelFunc),
	}
	jpool.ResizeWorkers(workers)
	jpool.resume()
	return jpool
}

func (j *BatchJobPool) resume() {
	results := make(chan ObjectInfo, 100)
	ctx, cancel := context.WithCancel(j.ctx)
	defer cancel()
	if err := j.objLayer.Walk(ctx, minioMetaBucket, batchJobPrefix, results, WalkOptions{}); err != nil {
		batchLogIf(j.ctx, err)
		return
	}

	}

	toEncode := io.Reader(data)
	if data.Size() >= bigFileThreshold {
		// We use 2 buffers, so we always have a full buffer of input.
		pool := globalBytePoolCap.Load()
		bufA := pool.Get()
		bufB := pool.Get()
		defer pool.Put(bufA)
		defer pool.Put(bufB)
		ra, err := readahead.NewReaderBuffer(data, [][]byte{bufA[:fi.Erasure.BlockSize], bufB[:fi.Erasure.BlockSize]})
		if err == nil {
			toEncode = ra

          "expr": "minio_cluster_health_status{job=~\"$scrape_jobs\"}",
          "fullMetaSearch": false,
          "includeNullMetadata": true,
          "interval": "",
          "legendFormat": "Pool: {{pool}} Set: {{set}}",
          "range": true,
          "refId": "A",
          "useBackend": false
        }
      ],
      "title": "Cluster Health Status",
      "type": "stat"
    },
    {

 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java
 * // The singleton HTTP client.

 *  **There is no longer a global singleton connection pool.** In OkHttp 2.x,
    all `OkHttpClient` instances shared a common connection pool by default.
    In OkHttp 3.x, each new `OkHttpClient` gets its own private connection pool.
    Applications should avoid creating many connection pools as doing so
    prevents connection reuse. Each connection pool holds its own set of

    assertThat(dnsEnd.inetAddressList.size).isEqualTo(1)
  }

  @Test
  fun noDnsLookupOnPooledConnection() {
    server.enqueue(MockResponse())
    server.enqueue(MockResponse())

    // Seed the pool.
    val call1 =
      client.newCall(
        Request.Builder()
          .url(server.url("/"))
          .build(),
      )
    val response1 = call1.execute()
    assertThat(response1.code).isEqualTo(200)

            // the pool core size will be incremented before submitting
            // all the tasks, then the thread will block waiting for all
            // those subtasks to finish.
            // This ensures the number of running workers is no more than
            // the defined parallism, while making sure the pool will not
            // be exhausted
            //