如何更新Apache Spark DataFrame中的行/列值

Question

我有一个有序的Spark DataFrame，我想改变几行，同时使用以下代码迭代它，但似乎没有任何方法来更新行对象。

orderedDataFrame.foreach(new Function1<Row,BoxedUnit>(){
@Override
public BoxedUnit apply(Row v1) {
// How do I change Row here? 
// I want to change column no 2 using v1.get(2)
// also what is BoxedUnit, and how do I use it
return null;
}
});

上面的代码也给出了编译错误:

myclassname不是抽象的，它不会覆盖抽象方法。

我是Spark的新手。我使用的是1.4.0版本

Answer 1

Try This:

 final DataFrame withoutCurrency = sqlContext.createDataFrame(somedf.javaRDD().map(row -> {
            return RowFactory.create(row.get(0), row.get(1), someMethod(row.get(2)));
        }), somedf.schema());

Answer 2

Dataset<Row> ds = spark.createDataFrame(Collections.singletonList(data), SellerAsinAttribute.class);
        ds.map((i)-> {
            Object arrayObj = Array.newInstance(Object.class, i.length());
            for (int n = 0; n < i.length(); ++n) {
                Array.set(arrayObj, n, i.get(n));//change 'i.get(n)' to anything you want, if you change type, remember to update schema
            }
            Method create = RowFactory.class.getMethod("create", Object[].class);
            return (Row) create.invoke(null, arrayObj);
        }, RowEncoder.apply(ds.schema())).show();