如何告诉Jackson跳过未包装的子POJO字段，以便当我解析到CSV时，它会跳过整个列？

这是一个完整的代码示例：

public class FooTest {

  class Foo {
    String something = "value";
    @JsonUnwrapped(prefix = "bar.")
    @JsonIgnoreProperties({ "toBeIgnored" })
    Bar bar;

    public String getSomething() {
      return something;
    }

    public Bar getBar() {
      return bar;
    }
  }

  class Bar {
    String toBeIgnored;

    public String getToBeIgnored() {
      return toBeIgnored;
    }
  }

  @Test
  public void fooTest() throws IOException {
    CsvMapper mapper = new CsvMapper();
    CsvSchema schema = mapper.schemaFor(Foo.class).withHeader();
    ObjectWriter csvWriter = mapper.writer(schema);
    OutputStream outputStream = new ByteArrayOutputStream();
    SequenceWriter writer = csvWriter.writeValues(outputStream);

    Foo foo = new Foo();
    foo.bar = new Bar();
    String toBeIgnored = "should not be parsed";
    foo.bar.toBeIgnored = toBeIgnored;
    writer.write(foo);
    String result = outputStream.toString();

    assertThat(result).doesNotContain(toBeIgnored);
    assertThat(result).contains("something");
    assertThat(result).doesNotContain("bar.toBeIgnored");
  }
}

注意，我不能以任何方式修改类< code>Bar。

如何在类Foo中指定要忽略bar.toBeIgnored？

< code > JsonIgnoreProperties 对于跳过该值很有用，但对于跳过整列并不有用。当前代码将输出一个列< code>bar.toBeIgnored为空值的CSV。我只想跳过这个专栏。