} else {
					res, err = objAPI.HealObject(ctx, task.bucket, task.object, task.versionID, task.opts)
				}
			}

			if task.respCh != nil {
				task.respCh <- healResult{result: res, err: err}
				continue
			}

			// when respCh is not set caller is not waiting but we
			// update the relevant metrics for them
			if bgSeq != nil {
				if err == nil {
					bgSeq.countHealed(res.Type)
				} else {

          pred.next = succ;
          if (pred.thread == null) { // We raced with another node that unlinked pred. Restart.
            continue restart;
          }
        } else if (!casWaiters(curr, succ)) { // We are unlinking head
          continue restart; // We raced with an add or complete
        }
        curr = succ;
      }
      break;
    }
  }

    #
    #; isLoggingReplaceSql = true
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isErrorSqlContinue: (NotRequired - Default false)
    #  Does it continue the task when error SQL exists?
    #
    #; isErrorSqlContinue = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

For example, an 16-server distributed setup with 200 drives per node would continue serving files, up to 4 servers can be offline in default configuration i.e around 800 drives down MinIO would continue to read and write objects.

Calls are executed in one of two ways:

 * **Synchronous:** your thread blocks until the response is readable.

			elem := reflectValue.Index(i)
			elemKey := elem.Interface()
			if elem.Kind() != reflect.Ptr && elem.CanAddr() {
				elemKey = elem.Addr().Interface()
			}

			if _, ok := loaded[elemKey]; ok {
				continue
			}
			loaded[elemKey] = true

			fieldValues := make([]interface{}, len(fields))
			notZero = false
			for idx, field := range fields {
				fieldValues[idx], zero = field.ValueOf(ctx, elem)

    Random rand = new Random(0);
    int keyBits = 32;

    // get every one of (keyBits choose 2) deltas:
    for (int i = 0; i < keyBits; i++) {
      for (int j = 0; j < keyBits; j++) {
        if (j <= i) continue;
        int count = 0;
        int maxCount = 20; // the probability of error here is minuscule
        boolean diff = false;

        while (!diff) {
          int delta = (1 << i) | (1 << j);

      result.add(
        Challenge(
          schemeName,
          Collections.singletonMap<String?, String>(null, peek + "=".repeat(eqCount)),
        ),
      )
      peek = null
      continue
    }

    // It's a series of parameter names and values.
    val parameters = mutableMapOf<String?, String>()
    eqCount += skipAll('='.code.toByte())
    while (true) {
      if (peek == null) {

- On the Storage screen, choose the Scale-out Backup Repository that was configured previously.

      var totalExceptionRuleBytes = 0

      fileSystem.source(publicSuffixListDotDat).buffer().use { source ->
        while (!source.exhausted()) {
          var rule: ByteString = source.readUtf8LineStrict().toRule() ?: continue

          if (rule.startsWith(EXCEPTION_RULE_MARKER)) {
            rule = rule.substring(1)
            // We use '\n' for end of value.
            totalExceptionRuleBytes += rule.size + 1