- 开窗函数row_number()是按照某个字段分组,然后取另外一个字段排序的前几个值的函数,相当于分组topN。
object RowNumberWindowFunction {
//开窗函数
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder()
.appName("RowNumberWindowFunction")
.master("local[2]")
.enableHiveSupport()
.getOrCreate()
val array = Array("1,Hadoop,12","6,Spark,6","3,Solr,15","3,HBase,8","6,Hive,16","6,TensorFlow,26")
val rdd = spark.sparkContext.parallelize(array).map(_.split(",")).map{
item =>
Row(item(0), item(1), item(2).toInt)
}
val structType = new StructType(Array(
StructField("id", StringType, true),
StructField("name", StringType, true),
StructField("age", IntegerType, true)
))
val df = spark.createDataFrame(rdd, structType)
df.show()
df.createOrReplaceTempView("table")
val top1 = spark.sql("select id, name, age from (select id, name, age,"+
"row_number() over(partition by id order by age desc) top from table)t where top <= 1")
top1.show()
val top2 = spark.sql("select id, name, age from (select id, name, age,"+
"row_number() over(partition by id order by age desc) top from table)t where top <= 2")
top2.show()
val top3 = spark.sql("select id, name, age from (select id, name, age,"+
"row_number() over(partition by id order by age desc) top from table)t where top <= 3")
top3.show()
}
}
原始数据
+---+----------+---+
| id| name|age|
+---+----------+---+
| 1| Hadoop| 12|
| 6| Spark| 6|
| 3| Solr| 15|
| 3| HBase| 8|
| 6| Hive| 16|
| 6|TensorFlow| 26|
+---+----------+---+
top1
+---+----------+---+
| id| name|age|
+---+----------+---+
| 3| Solr| 15|
| 6|TensorFlow| 26|
| 1| Hadoop| 12|
+---+----------+---+
top2
+---+----------+---+
| id| name|age|
+---+----------+---+
| 3| Solr| 15|
| 3| HBase| 8|
| 6|TensorFlow| 26|
| 6| Hive| 16|
| 1| Hadoop| 12|
+---+----------+---+
top3
+---+----------+---+
| id| name|age|
+---+----------+---+
| 3| Solr| 15|
| 3| HBase| 8|
| 6|TensorFlow| 26|
| 6| Hive| 16|
| 6| Spark| 6|
| 1| Hadoop| 12|
+---+----------+---+
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