Spark-将Map转换为单行DataFrame

我需要从Map创建一个单行DataFrame,以便写入mysql

就像这样的Map

("col1" -> 5, "col2" -> 10, "col3" -> 6)

将其转换成单行的DataFrame，并且将Key映射成为列的名称。

+----+----+----+
|col1|col2|col3|
+----+----+----+
|   5|   6|  10|
+----+----+----+

代码:

  import org.apache.spark.sql.types._
  val map = Map("col1" -> 5, "col2" -> 6, "col3" -> 10)
  val (keys, values) = map.toList.sortBy(_._1).unzip
  val rows = spark.sparkContext.parallelize(Seq(Row(values: _*)))
  val schema = StructType(keys.map(
    k => StructField(k, IntegerType, nullable = false)))
  val df = spark.createDataFrame(rows, schema)
  df.show()