Apache spark 将spark流结果写入HDFS或本地文件系统的问题

使用JavaAPI，我编写了一个spark流应用程序，可以正确处理和打印结果，现在我想将结果写入HDFS。版本如下：

Hadoop

2.7.3

Spark

2.2.0

Java

1.8

代码如下：

import java.util.*;
import org.apache.spark.SparkConf;
import org.apache.spark.streaming.Duration;
import org.apache.spark.streaming.api.java.*;
import org.apache.spark.streaming.kafka010.*;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.ByteArrayDeserializer;

public class Spark {
    public static void main(String[] args) throws InterruptedException {
        SparkConf conf = new SparkConf().setAppName("Spark Streaming").setMaster("local[*]");
        JavaStreamingContext ssc = new JavaStreamingContext(conf, new Duration(1000));
        Map<String, Object> kafkaParams = new HashMap<>();
        kafkaParams.put("bootstrap.servers", "kafka1:9092,kafka2:9092");
        kafkaParams.put("key.deserializer", StringDeserializer.class);
        kafkaParams.put("value.deserializer", ByteArrayDeserializer.class);
        kafkaParams.put("group.id", "use");
        kafkaParams.put("auto.offset.reset", "earliest");
        kafkaParams.put("enable.auto.commit", false);

        Collection<String> topics = Arrays.asList("testStr");

        JavaInputDStream<ConsumerRecord<String, byte[]>> stream =
                KafkaUtils.createDirectStream(
                        ssc,
                        LocationStrategies.PreferConsistent(),
                        ConsumerStrategies.<String, byte[]>Subscribe(topics, kafkaParams)
                );
        stream.map(record -> finall(record.value())).map(record -> Arrays.deepToString(record)).dstream().saveAsTextFiles(
                "spark", "txt"
        );

        ssc.start();
        ssc.awaitTermination();

    }

    public static String[][] finall(byte[] record){

        String[][] result = new String[4][];
        result[0] = javaTest.bytePrintable(record);
        result[1] = javaTest.hexTodecimal(record);
        result[2] = javaTest.hexToOctal(record);
        result[3] = javaTest.hexTobin(record);

            return result;
        }
    }

哪一个不兼容？或者是有什么东西不见了

<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
        <version>2.2.0</version>
</dependency>
<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.11</artifactId>
        <version>2.2.0</version>
</dependency>
<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming_2.11</artifactId>
        <version>2.2.0</version>
</dependency>