如何在Apache flink中用java读取json文件格式

import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.datastream.DataStream;

public class JSONFileReader {

  public static void main(String[] args) throws Exception {
    
    // 创建执行环境
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    
    // 指定JSON文件路径
    String filePath = "/path/to/json/file.json";
    
    // 读取JSON文件内容
    DataStream<String> jsonData = env.readTextFile(filePath);
    
    // 解析JSON数据为POJO对象
    DataStream<Tuple2<String, Integer>> parsedData = jsonData.map(new JSONParser());

    // 输出结果
    parsedData.print();

    // 执行任务
    env.execute("Read JSON file");
  }
  
  // JSON解析器
  public static class JSONParser implements MapFunction<String, Tuple2<String, Integer>> {
    @Override
    public Tuple2<String, Integer> map(String value) throws Exception {
      // 解析JSON并返回POJO对象
      // 这里使用Jackson库进行解析，具体代码需要根据JSON结构进行编写
      // 例如，假设JSON格式为{"name":"John","age":30}
      ObjectMapper mapper = new ObjectMapper();
      JsonNode jsonNode = mapper.readTree(value);
      String name = jsonNode.get("name").asText();
      int age = jsonNode.get("age").asInt();
      return new Tuple2<>(name, age);
    }
  }
}