Java 使用avro maven插件版本1.6.1时不推荐使用的代码

我正在使用ApacheAvro运行一个java代码。有些代码在java文件中被弃用，我不知道为什么。 我正在使用Maven运行我的Java程序。 这是java文件

    public class AvroAddressTest {
public int tempRand;

 static String[] NAMES = { "Karthik", "Sam", "Joe", "Jess", "Tom",
        "Huck", "Hector", "Duke", "Jill", "Natalie", "Chirsta", "Ramya" };

 static String[] EMAILS = { "kar@gmail.com", "steve@gmail.com",
        "garry@gmail.com", "kumar@hotmail.com", "dave@hotmail.com",
        "will@hotmail.com", "rick@ymail.com", "vinod@ymail.com",
        "basu@ymail.com", "sachin@ymail.com", "chester@ymail.com",
        "anand@ymail.com" };

 static String[] PHONE_NUMBERS = { "9940099321", "9940099456",
        "9934099333", "9940099567", "9940077654", "9940088323",
        "9940097543", "9940099776", "9940000981", "9940088444",
        "9940099409", "9940033987" };




 static int[] AGES = { 32, 43, 23, 21, 55, 34, 33, 31, 22, 41, 56, 62 };
 static boolean[] STU = { true, false, true, true, false, false, true, false, true, false, false, true };


public void serializeGeneric() throws IOException {
    // Create a datum to serialize.
    Schema schema = new Schema.Parser().parse(getClass()
            .getResourceAsStream("/AddressRec.avsc"));
    GenericRecord datum = new GenericData.Record(schema);

    Random random = new Random();

    int randInt = random.nextInt(NAMES.length);

    datum.put("name", new Utf8(NAMES[randInt]));
    datum.put("email", new Utf8(EMAILS[randInt]));
    datum.put("phone", new Utf8(PHONE_NUMBERS[randInt]));
    datum.put("age", AGES[randInt]);
    datum.put("student", STU[randInt]);
    //datum.put("door",new Utf8(NAMES[randInt]) );

    // Serialize it.
    ByteArrayOutputStream out = new ByteArrayOutputStream();
    DatumWriter<GenericRecord> writer = new GenericDatumWriter<GenericRecord>(
            schema);
    Encoder encoder = EncoderFactory.get().binaryEncoder(out, null);
    writer.write(datum, encoder);
    encoder.flush();
    out.close();
    System.out.println("\nSerialization: " + out);

    // Deserialize it.
    DatumReader<GenericRecord> reader = new GenericDatumReader<GenericRecord>(
            schema);
    BinaryDecoder decoder = DecoderFactory.get().binaryDecoder(
            out.toByteArray(), null);
    GenericRecord result = reader.read(null, decoder);
    System.out.printf(
            "Deserialized output:\nName: %s, Email: %s, Phone: %s, Age: %d, Student?: %s\n\n",
            result.get("name"), result.get("email"), result.get("phone"),
            result.get("age"), result.get("student"));
}

public void serializeSpecific() throws IOException {
    // Create a datum to serialize.
    AddressRec datum = new AddressRec();
    Random random = new Random();
    int randInt = random.nextInt(NAMES.length);

    datum.**name** = new Utf8(NAMES[randInt]);
    datum.**email** = new Utf8(EMAILS[randInt]);
    datum.**phone** = new Utf8(PHONE_NUMBERS[randInt]);
    datum.**age** = AGES[randInt];
    datum.**student** = STU[randInt];

    File tmpFile = File.createTempFile("AddressRecAvroExample", ".avro");
    // Serialize it.
    DataFileWriter<AddressRec> writer = new DataFileWriter<AddressRec>(
            new SpecificDatumWriter<AddressRec>(AddressRec.class));
    writer.create(AddressRec.SCHEMA$, tmpFile);
    writer.append(datum);
    writer.close();

    System.out.println("\nSerialization to tempfile: " + tmpFile);

    // Deserialize it.
    FileReader<AddressRec> reader = DataFileReader.openReader(tmpFile,
            new SpecificDatumReader<AddressRec>(AddressRec.class));
    while (reader.hasNext()) {
        AddressRec result = reader.next();
        System.out.printf("Deserialized output:\nName: %s, Email: %s, Phone: %s, Age: %d, Student?: %s\n\n",
                        result.**name**, result.**email**, result.**phone**,
                        result.**age**, result.**student**);
    }
    reader.close();
}

@Test
public void serializeTest() throws IOException {
    serializeGeneric();
    serializeSpecific();
}

}

---

程序运行良好。只是有些代码被弃用了。当我使用1.5.1版时，同样的代码没有被弃用。我能想到的唯一一件事（因为您没有向我们提供实际的警告消息）是，您不应该直接访问字段值（datum.foo=x），而应该使用访问器方法。

下面是您假设的证据：

{
"type": "record",
"name": "AddressRec",
"namespace":"com.mycompany.samples.avro",
"fields": [
    {"name": "name", "type": "string"},
    {"name": "email", "type": "string"},
    {"name": "phone", "type": "string"},
    {"name": "age", "type": "int"}, 
    {"name": "student", "type": "boolean"}

]