Spark：group by和聚合函数使用

groupBy分组和使用agg聚合函数demo：

df.show
+----+-----+---+
|YEAR|MONTH|NUM|
+----+-----+---+
|2017|    1| 10|
|2017|    1|  5|
|2017|    2| 20|
|2018|    1|  5|
|2018|    1|  5|
+----+-----+---+

import org.apache.spark.sql.functions._
df.groupBy("YEAR", "MONTH")
  .agg(sum("NUM").as("sum_num"))
  .show
+----+-----+-------+
|YEAR|MONTH|sum_num|
+----+-----+-------+
|2018|    1|   10.0|
|2017|    1|   15.0|
|2017|    2|   20.0|
+----+-----+-------+

//也可以这样写：
df.groupBy("YEAR", "MONTH")
  .agg("NUM"->"avg", ("MONTH", "count") )
  .show
+----+-----+--------+------------+
|YEAR|MONTH|avg(NUM)|count(MONTH)|
+----+-----+--------+------------+
|2018|    1|     5.0|           2|
|2017|    1|     7.5|           2|
|2017|    2|    20.0|           1|
+----+-----+--------+------------+