//                                                                              ======
    @Override
    protected int delegateSelectCountUniquely(final ConditionBean cb) {
        // #pending check response and cast problem
        final SearchRequestBuilder builder = client.prepareSearch(asEsIndex());
        final EsAbstractConditionBean esCb = (EsAbstractConditionBean) cb;
        if (esCb.getPreference() != null) {

    //                                                                              ======
    @Override
    protected int delegateSelectCountUniquely(final ConditionBean cb) {
        // #pending check response and cast problem
        final SearchRequestBuilder builder = client.prepareSearch(asEsIndex());
        final EsAbstractConditionBean esCb = (EsAbstractConditionBean) cb;
        if (esCb.getPreference() != null) {

   * Optional<T>}. Casting either of the above example {@code Optional} instances to {@code
   * Optional<Number>} (where {@code Number} is the desired output type) solves the problem:
   *
   * <pre>{@code
   * Optional<Number> optionalInt = (Optional) getSomeOptionalInt();
   * Number value = optionalInt.or(0.5); // fine
   *
   * FluentIterable<? extends Number> numbers = getSomeNumbers();

    }
  }

  /*
   * For a discussion of the signature of verifyNotNull, see the discussion above
   * Preconditions.checkNotNull.
   *
   * (verifyNotNull has many fewer "problem" callers, so we could try to be stricter. On the other
   * hand, verifyNotNull arguably has more reason to accept nullable arguments in the first
   * place....)
   */

  /**

        )
      }

      // The cache is corrupted, attempt to delete the contents of the directory. This can throw and
      // we'll let that propagate out as it likely means there is a severe filesystem problem.
      try {
        delete()
      } finally {
        closed = false
      }
    }

    rebuildJournal()

    initialized = true
  }

  @Throws(IOException::class)

den **verfügbaren Maschinen** zu replizieren, wobei die von denen benötigte Speichermenge und die auf den Maschinen im Cluster verfügbare Menge berücksichtigt werden.

Wenn Ihre Anwendung **einfach** ist, wird dies wahrscheinlich **kein Problem darstellen** und Sie müssen möglicherweise keine festen Speichergrenzen angeben. Wenn Sie jedoch **viel Speicher verbrauchen** (z. B. bei **Modellen für maschinelles Lernen**), sollten Sie überprüfen, wie viel Speicher Sie verbrauchen, und die **Anzahl...

     * a fan of that: What if we someday implement (presumably to be enabled during tests only)
     * bytecode rewriting that checks for any null value that passes through an API with a
     * known-non-null type? But that particular problem might not arise here, since we're not
     * actually reading from the fields in any case in which they might be null (as proven by the

      return checkNotNull(otherConverter, "otherConverter");
    }

    /*
     * We *could* override convertAll() to return its input, but it's a rather pointless
     * optimization and opened up a weird type-safety problem.
     */

    @Override
    public String toString() {
      return "Converter.identity()";
    }

    private Object readResolve() {
      return INSTANCE;
    }

    }

    /**
     * Cuts this string up into alternating parameter names and values. This divides a query string
     * like `subject=math&easy&problem=5-2=3` into the list `["subject", "math", "easy", null,
     * "problem", "5-2=3"]`. Note that values may be null and may contain '=' characters.
     */
    private fun String.toQueryNamesAndValues(): MutableList<String?> {

Of course, there are some cases where there's no problem in running the previous steps multiple times, in that case, it's a lot easier to handle.

/// tip