*   Adds new `tf.data.experimental.service.register_dataset` and
    `tf.data.experimental.service.from_dataset_id` APIs to enable one process to
    register a dataset with the tf.data service, and another process to consume
    data from the dataset.
*   Adds support for dispatcher fault tolerance. To enable fault tolerance,
    configure a `work_dir` when running your dispatcher server and set

        String processOutput = "Test output";
        RuntimeException throwException = null;

        @Override
        public JobProcess startProcess(String sessionId, List<String> cmdList, java.util.function.Consumer<ProcessBuilder> pbConsumer) {
            if (throwException != null) {
                throw throwException;
            }

            startProcessCalled = true;
            capturedSessionId = sessionId;

Isso foi modificado na versão 0.110.0 para consertar o consumo de memória não controlado das exceções relançadas automaticamente sem um manipulador (erros internos do servidor), e para manter o comportamento consistente com o código Python tradicional.

        public List<String> getLastCommandList() {
            return lastCommandList;
        }

        @Override
        public JobProcess startProcess(String sessionId, List<String> cmdList, java.util.function.Consumer<ProcessBuilder> pbConsumer) {
            lastCommandList = new ArrayList<>(cmdList);

            if (exception instanceof RuntimeException) {
                throw (RuntimeException) exception;

  /**
   * Settings we receive from the peer. Changes to the field are guarded by this. The instance is
   * never mutated once it has been assigned.
   */
  var peerSettings = DEFAULT_SETTINGS

  /** The bytes consumed and acknowledged by the application. */
  val readBytes: WindowCounter = WindowCounter(streamId = 0)

  /** The total number of bytes produced by the application. */
  var writeBytesTotal = 0L
    private set

* the contents your program gave to the system to be written to disk
* a remote API operation
* a database operation to finish
* a database query to return the results
* etc.

As the execution time is consumed mostly by waiting for <abbr title="Input and Output">I/O</abbr> operations, they call them "I/O bound" operations.

   *     then this is not logically a {@code Converter} at all, and should just implement {@link
   *     Function}.
   */
  @ForOverride
  protected abstract A doBackward(B b);

  // API (consumer-side) methods

  /**
   * Returns a representation of {@code a} as an instance of type {@code B}.
   *
   * @return the converted value; is null <i>if and only if</i> {@code a} is null
   */

### Memória por Processo

Agora, quando o programa carrega coisas na memória, por exemplo, um modelo de aprendizado de máquina em uma variável, ou o conteúdo de um arquivo grande em uma variável, tudo isso **consome um pouco da memória (RAM)** do servidor.

        }
    }

    public void test_buildBaseQuery_invalidQuery() {
        try {
            queryHelper.buildBaseQuery(new QueryContext("field:[invalid", true), ctx -> {
                // Empty context consumer
            });
            // Some invalid queries might be handled gracefully
        } catch (InvalidQueryException e) {
            // This is expected for malformed queries

type eofReader struct {
	buf []byte
}

func (r *eofReader) Read(p []byte) (int, error) {
	read := copy(p, r.buf)
	r.buf = r.buf[read:]

	switch read {
	case 0, len(r.buf):
		// As allowed in the documentation, this will return io.EOF
		// in the same call that consumes the last of the data.
		// https://godoc.org/io#Reader