如何在Scala中将Spark DataFrames逐个添加到Seq()中

import org.apache.spark.sql.{DataFrame, SparkSession}

val spark = SparkSession.builder()
  .appName("Add DataFrames to Seq")
  .master("local")
  .getOrCreate()

var dfs: Seq[DataFrame] = Seq()

val df1 = spark.read.format("csv").load("path/to/df1.csv")
dfs = dfs :+ df1

val df2 = spark.read.format("csv").load("path/to/df2.csv")
dfs = dfs :+ df2

// 以此类推...

val mergedDF = dfs.reduce(_ union _)
val aggregatedDF = mergedDF.groupBy("column").agg(sum("value"))

// 其他操作...