Structured Streaming + kafka碰上@Resource注入遇到问题

[Hong4741]

最近在用Structured Streaming + kafka开发，初始化显示Resource注解的的beCalTask对象正常，当kafka中有数开始消费的时候beCalTask又提示为null, window单机部署的时候没问题，在服务器上集群部署的时候会出现，请教一下各位如何解决？

@Repository
public class RapidCalculateTask implements Serializable{
	private static Logger log = LoggerFactory.getLogger(RapidCalculateTask.class);
	/**
	 * 
	 */
	private static final long serialVersionUID = -7664074371811203339L;
	
	@Resource
	BeCalculateTaskDao beCalTask;
 
	public void startStruStram() {
		try {
			CalculateService calService = new CalculateService();
			
			Properties prop = calService.getProperties();
			String servers_kafka = prop.getProperty("spark.servers_kf");
			String subscribe = prop.getProperty("spark.subscribe");
			
			SparkConf conf = calService.getSparkConfig(prop);
			conf.setJars(SparkContext.jarOfClass( this.getClass() ).toList());
			SparkSession spark = SparkSession.builder().config(conf).getOrCreate(); 
			
			Dataset<Row> lines = spark.readStream()
					.format("kafka")
					.option("kafka.bootstrap.servers", servers_kafka)
					.option("subscribe", subscribe)
					.load().selectExpr("CAST(value AS STRING)");
			
			
			StreamingQuery query = lines.writeStream()
					.foreach(new RapidForeachWriter<Row>(beCalTask))
					.start(); 
			 
			query.awaitTermination();
		} catch (StreamingQueryException e) {
			e.printStackTrace();
		}
	}
}

public class RapidForeachWriter<Rows> extends ForeachWriter<Rows> implements Serializable{
	/**
	 * 
	 */
	private static final long serialVersionUID = 5549303376220035143L;
	private static Logger log = LoggerFactory.getLogger(RapidForeachWriter.class);
 
 	
	private BeCalculateTaskDao beCalTask;  
	private JavaSparkContext javaCont;
 
 
	
	public RapidForeachWriter (BeCalculateTaskDao beCalTask){
		log.info("RapidForeachWriter 检查 BeCalculateTaskDao 是否为空"+beCalTask); 
		this.beCalTask = beCalTask;
	}

	@Override
	public void close(Throwable errorOrNull) {
		// TODO Auto-generated method stub 
	}

	@Override
	public boolean open(long partitionId, long version) {
		log.info("检查 beCalTask 是否为空-[partitionId:"+partitionId+";version:"+version+"]"+beCalTask); 
		try { 
			if(beCalTask.equals(null)) {
				return false;
			}
			return true;
		} catch (Exception e) { 
			return false;
		}
	}

	@Override
	public void process(Rows value){
 
	}
}