qq_35403739的博客

val arr = Array("Scala","Spark")   定义数组如果想要添加元素的话，需要导进一个包import scala.collection.ArrayBufferval arr1 = ArrayBuffer[Int]()    定义一个数组往arr1数组里添加元素arr1 += （1,2，3,4,5）往数组里面添加一个 Array元素arr1 ++

package bigdata.spark.SparkStreaming.kafka010import org.apache.kafka.common.serialization.StringDeserializerimport org.apache.spark.streaming.kafka010.{KafkaUtils, LocationStrategies, OffsetRange}...

Logged in as: dr.who Logs for container_1540265434662_0001_02_000001ResourceManagerRM HomeNodeManagerToolsSLF4J: Class path contains multiple SLF4J bindings.SLF4J: Found binding in [jar:file:...

package bigdata.spark.SparkStreaming.kafka082import java.sql.Timestampimport bigdata.spark.DaoUtil.MysqlUtilimport kafka.common.TopicAndPartitionimport kafka.message.MessageAndMetadataimport k...

package bigdata.spark.SparkStreaming.kafka010import org.apache.kafka.common.serialization.StringDeserializerimport org.apache.spark.SparkConfimport org.apache.spark.streaming.kafka010.{ConsumerSt...

package bigdata.spark.SparkStreaming.kafka010;import net.sf.json.JSONObject;import org.apache.kafka.clients.producer.Producer;import org.apache.kafka.clients.producer.ProducerConfig;import org.a...

 package bigdata.spark.SparkStreaming.kafka010import java.util.Propertiesimport org.apache.kafka.clients.consumer.{Consumer, KafkaConsumer}import org.apache.kafka.common.TopicPartitionimport ...

1. 读文件scala特有的是scala.io.Source，例如： import scala.io._ Source.fromFile(“cn.scala”,”utf8”).mkString逐行读文件内容： Source.fromFile(new java.io.File(“cn.scala”)).getLines().foreach(println)2. 写文件im...

scala> val l = List(5,4,3,6,2,1)l: List[Int] = List(5, 4, 3, 6, 2, 1)scala> l.sortedres2: List[Int] = List(1, 2, 3, 4, 5, 6)scala> l.sorted(Ordering.Int.reverse)res3: List[Int] = List(6, 5, 4, 3, 2, 1

import scala.utll.control.Breaks._           (导入breaks模块)for( i if(i == 4) breakprintln(i)}当i=4的时候跳出循环       这样输出结果只能是1、2、3。

def sum(numbers : Int*) ={ var result =0; for(element 调用这个函数sum(1,2,3,4,5,6)最终会让集合里的数相加      下面延伸一个比较重要的概念上面因为我们传入的是1到5的和，那么我们要计算1到100的和呢？我们可以使用这个语法：sum（1 to 100: _*）   : _

import scala.io.Sourceobject proce {   def main(args: Array[String]) {    val file = Source.fromFile("D:\\test.txt")         //打印出本机文件内容   //val file = Source.fromURL("http://spark.apache.

object ArrayMap {   def main(args: Array[String]) {//    val pair = (100,"Spark","Scala")//    println(pair._1)//    println(pair._2)             }                                        

object scala {  //  def looper(x : Long, y : Long) : Long = {//    var a = x//    var b = y//    while(a != 0){//      val temp = a//      a = b % a//      b = temp//    }//    b

import com.google.gson.Gsonimport com.alibaba.fastjson.{JSON, JSONObject}import java.utilobject local { case class User1(id: Long,organization_id: Long,username: String ,role_names: String ,...