spark遇到的错误1-内存不足

 

原来的代码：

 JavaRDD<ArticleReply> javaRdd = rdd.flatMap(new FlatMapFunction<String, ArticleReply>() {
            private static final long serialVersionUID = 10000L;
            List<ArticleReply> newList = new ArrayList<ArticleReply>();
            public Iterable<ArticleReply> call(String line) throws Exception {
                String[] splits = line.split("\t");
                ArticleReply bean = new ArticleReply();
                bean.setAreaId(split[0]);
                bean.setAgent(Integer.parseInt(splits[1]));
                bean.setSerial(splits[2]);
                newList.add(bean);
                return newList;
            }
        });

 

正确写法：

 JavaRDD<ArticleReply> javaRdd = rdd.flatMap(new FlatMapFunction<String, ArticleReply>() {

            private static final long serialVersionUID = 10000L;
            
            public Iterable<ArticleReply> call(String line) throws Exception {
　　　　　　　　　List<ArticleReply> newList = new ArrayList<ArticleReply>();
                String[] splits = line.split("\t");
                ArticleReply bean = new ArticleReply();
                bean.setAreaId(split[0]);
                bean.setAgent(Integer.parseInt(splits[1]));
                bean.setSerial(splits[2]);
                newList.add(bean);
                return newList;
            }
        });

错误的写法中把list声明和初始化在flatMap函数之外，造成每次调用flatMap函数后，list的bean会增加一个，同时程序会将改list返还回去，那么spark接收的对象1+2+3+...+N个，

而不是N个，会极大地消耗spark的内存，造成spark运行内存不足。