我使用spark从cassandra读取行，其中一列是json对象。以下是数据集中的架构和示例行：

root
 |-- attributes: array (nullable = true)
 |    |-- element: struct (containsNull = true)
 |    |    |-- name: string (nullable = true)
 |    |    |-- count: integer (nullable = true)
 |    |    |-- score: double (nullable = true)
 |    |    |-- id: integer (nullable = true)
 |-- id: string (nullable = true)
 |-- col1: string (nullable = true)

+--------------------------------------------------------------------------------+--------+---------+
|attributes                                                                      |id      |col1     |
+--------------------------------------------------------------------------------+--------+---------+
|[[usage,2,5.0,12], [price,1,10.0,48], [hair,1,10.0,23737], [curls,1,10.0,30807]]|19400335|val_str_1|
+--------------------------------------------------------------------------------+--------+---------+

使用以下架构从表中加载：

ArrayType schema =
                DataTypes.createArrayType(
                        new StructType(
                                new StructField[] {
                                        new StructField("name", DataTypes.StringType, true, Metadata.empty()),
                                        new StructField("count", DataTypes.IntegerType, true, Metadata.empty()),
                                        new StructField("score", DataTypes.DoubleType, true, Metadata.empty()),
                                        new StructField("id", DataTypes.IntegerType, true, Metadata.empty())}));

是否可以将新字段注入到 attributes 列-将值从 id 列并将值从 col1 结构中的列？