spark流計(jì)算排序 spark既要根據(jù)key分區(qū)又要根據(jù)value排序怎么辦?
spark既要根據(jù)key分區(qū)又要根據(jù)value排序怎么辦?ass USRIDDISTIONER(numParts:內(nèi)部)Extend partitioner{//number of overlay p
spark既要根據(jù)key分區(qū)又要根據(jù)value排序怎么辦?
ass USRIDDISTIONER(numParts:內(nèi)部)Extend partitioner{//number of overlay partitions override def numpartitions:int=numparts//get函數(shù)override def getpartition(key:any):int=numparts//number of overlay partitions{key.toString.toInt鍵}}對(duì)象測試{def main(args:Array[String]){val conf=new SparkConf()val sc=new SparkContext(conf)//模擬5個(gè)分區(qū)的數(shù)據(jù)=sc.并行化(1到10,5)//根據(jù)后綴改為10個(gè)分區(qū),寫入10個(gè)文件數(shù)據(jù).map((_ , 1)). 分區(qū)方式(新usridpartitioner(10))。SA
python中字典如何按照value值排序,并分別取出前n個(gè)value值和key值?
before={“key1”:5,“key2”:6,“Key3”:4,“key4”:3,}sort after=dict(已排序(前.items(),key=lambda e:e[1])print(after)#,或CNT=0表示已排序返回列表中的key、value后.items():cnt=1如果cnt>需要ucnt:break print(“{}:{}”。format(key,value))