我正在尝试将数据框转换为嵌套的json。
基本上最终的输出在字段“ id
”级别,其他字段的嵌套json格式。
Json格式,使用字段“ rank
”作为键,“ desc
”和“ percent
”作为值。感谢您的帮助!
源数据:-
val df = Seq(
("1", "ABC", "1","91.68"),
("1", "BCD", "2","89.03"),
("1", "DEF", "3","78.32"),
("1", "XYZ", "4","70.64")
).toDF("id", "desc", "rank", "percent")
+---+----+----+-------+
|id |desc|rank|percent|
+---+----+----+-------+
|1 |ABC |1 |91.68 |
|1 |BCD |2 |89.03 |
|1 |DEF |3 |78.32 |
|1 |XYZ |4 |70.64 |
+---+----+----+-------+
预期输出:
+---+--------------------------------------------------------------------------------------------------------------------------------------------------------+
|id |json |
+---+--------------------------------------------------------------------------------------------------------------------------------------------------------+
|1 |{"1":{"desc":"ABC","percent":"91.68"},"2":{"desc":"BCD","percent":"89.03"},"3":{"desc":"DEF","percent":"78.32"},"4":{"desc":"XYZ","percent":"70.64"}} |
+---+--------------------------------------------------------------------------------------------------------------------------------------------------------+
答案 0 :(得分:0)
您可以使用简单的UDF来根据需要修复json:
val toJsonUDF = udf((key: String, jsonString: String) => "{ " + key + ":" + jsonString + "}")
然后使用先前的UDF和withColumn
方法使用to_json
方法创建一个json列,该方法从给定的列中创建一个jsonString:
df.withColumn("json", toJsonUDF($"rank", to_json(struct("desc","percent"))))
.select("id", "json")
.groupBy("id")
.agg(collect_list("json").as("json"))
输出
+---+------------------------------------------------------------------------------------------------------------------------------------------------------------+
|id |collect_list(json) |
+---+------------------------------------------------------------------------------------------------------------------------------------------------------------+
|1 |[{ 1:{"desc":"ABC","percent":"91.68"}}, { 2:{"desc":"BCD","percent":"89.03"}}, { 3:{"desc":"DEF","percent":"78.32"}}, { 4:{"desc":"XYZ","percent":"70.64"}}]|
+---+------------------------------------------------------------------------------------------------------------------------------------------------------------+