如何在Scala中从一个数组创建DataFrame？

import org.apache.spark.sql.{SparkSession, Row}
import org.apache.spark.sql.types.{StructType, StructField, StringType, IntegerType}

// 创建SparkSession
val spark = SparkSession.builder()
  .appName("Create DataFrame from Array")
  .master("local")
  .getOrCreate()

// 定义数组
val data = Array(("Alice", 25), ("Bob", 30), ("Charlie", 35))

// 定义结构类型
val schema = StructType(Seq(
  StructField("name", StringType, nullable = true),
  StructField("age", IntegerType, nullable = true)
))

// 将数组转换为RDD[Row]
val rdd = spark.sparkContext.parallelize(data).map(row => Row(row._1, row._2))

// 创建DataFrame
val df = spark.createDataFrame(rdd, schema)

// 显示DataFrame内容
df.show()