"1","2013-07-25 00:00:00","11599","CLOSED" "2","2013-07-25 00:00:00","256","PENDING_PAYMENT"这是我csv的前两条数据，帮我再spark中创建一个case类

根据你提供的前两条数据，你可以创建一个对应的case类如下：

 orderId: String,
 orderDate: String,
 customerId: String,
 status: String)

然后，你可以使用Spark的`toDS()`方法将DataFrame转换为Dataset，指定case类作为泛型参数。示例代码如下：

val data = Seq(
 ("1","2013-07-2500:00:00","11599","CLOSED"),
 ("2","2013-07-2500:00:00","256","PENDING_PAYMENT")
)

val df = data.toDF("orderId", "orderDate", "customerId", "status")
val dataset = df.as[Order]

现在，你可以使用`dataset`来操作和处理CSV文件中的数据，而且可以通过访问`dataset`中的属性来访问每个订单的具体字段。