数据降序排列,spark

package com.dkl.lean ring.spark.dfimportorg.Apache.spark.SQL.sparksessionobjectdfsortdesc { def main (args 3360阵列) nit={ valspark=spark session.builder ().appname (dfsortdesc ).master (local ).getOrCreate ) (valdesc ) )。 9 ) valdf=spark.createdataframe (data ).todf )、) col2)、' col3' )//打印dfdf.show(//默认升序df.orderby ) ' ' 降序方法一df.orderby(-df ) (col3) ) ) ) show降序方法. showimportorg.Apache.spark.SQL.functions._ /降序方法3dd 测试方法3spark.createer 'col3' ).orderby(desc ) (col3).show //降序方法df.orderby(-col ) ).show //降序方法