如何在avro模式中创建包含字符串数组的对象？

{
  "type": "record",
  "name": "MyObject",
  "fields": [
    {
      "name": "id",
      "type": "int"
    },
    {
      "name": "strings",
      "type": {
        "type": "array",
        "items": "string"
      }
    }
  ]
}

import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.io.DatumWriter;
import org.apache.avro.io.Encoder;
import org.apache.avro.io.EncoderFactory;
import org.apache.avro.specific.SpecificDatumWriter;

import java.io.ByteArrayOutputStream;
import java.io.IOException;

public class AvroExample {
    public static void main(String[] args) throws IOException {
        // 1. 定义模式
        String schemaJson = "{\"type\":\"record\",\"name\":\"MyObject\",\"fields\":[{\"name\":\"id\",\"type\":\"int\"},{\"name\":\"strings\",\"type\":{\"type\":\"array\",\"items\":\"string\"}}]}";
        Schema schema = new Schema.Parser().parse(schemaJson);

        // 2. 创建对象
        GenericRecord myObject = new GenericData.Record(schema);
        myObject.put("id", 1);
        myObject.put("strings", new GenericData.Array<>(schema.getField("strings").schema(), new ArrayList<String>() {{
            add("string1");
            add("string2");
        }}));

        // 3. 序列化对象
        DatumWriter<GenericRecord> writer = new SpecificDatumWriter<>(schema);
        ByteArrayOutputStream outputStream = new ByteArrayOutputStream();
        Encoder encoder = EncoderFactory.get().binaryEncoder(outputStream, null);
        writer.write(myObject, encoder);
        encoder.flush();
        byte[] serializedObject = outputStream.toByteArray();

        // 输出序列化后的对象
        System.out.println(Arrays.toString(serializedObject));
    }
}