How to skip declared fields of java bean explicit schema in Spark Connector Java 3.0.x

Working with Data Connectors & Integrations
1

According to Spark Connector Java Guilde, section Datasets and SQL, it is possible to define a explicit schema for Dataset:

Dataset<Character> explicitDS = MongoSpark.load(jsc)
                                   .toDS(Character.class);

Is it possible to skip some of the declared fields in this Java Bean Class?

import java.io.Serializable;
import com.fasterxml.jackson.annotation.JsonIgnore;

public final class Character implements Serializable {
    private String name;
    @JsonIgnore
    private transient Integer age;
    public String getName() {
        return name;
    }
    public void setName(String name) {
        this.name = name;
    }
    public Integer getAge() {
        return age;
    }
    public void setAge(final Integer age) {
        this.age = age;
    }
}

I tried both transient or @JsonIgnore, but none of it seems to work? I have a Java Bean class which contains a lot of schema attributes and also a temporal variable. I would like to skip this temporal variable. Currently, if there is a declared fields in schema class which is not in the Dataset schema, I always got an empty Dataset from

MongoSpark.load(jsc).toDS(SchemaWithFieldToSkip.class);