您可以 groupby Company 然后在 pivot 列上使用 pivot 功能强>类型

You can groupby Company and then use pivot function on column Type

这是一个简单的例子

import org.apache.spark.sql.functions._

val df = spark.sparkContext.parallelize(Seq(
        ("A", "X", "done"),
        ("A", "Y", "done"),
        ("A", "Z", "done"),
        ("C", "X", "done"),
        ("C", "Y", "done"),
        ("B", "Y", "done")
      )).toDF("Company", "Type", "Status")

val result = df.groupBy("Company")
    .pivot("Type")
    .agg(expr("coalesce(first(Status), \"pending\")"))

result.show()

输出:

+-------+-------+----+-------+
|Company|      X|   Y|      Z|
+-------+-------+----+-------+
|      B|pending|done|pending|
|      C|   done|done|pending|
|      A|   done|done|   done|
+-------+-------+----+-------+

您可以稍后重命名该列.

You can rename the column later.

希望这会有所帮助！