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sCAlA tuplE2

没有tuple1 scala> val t2=("test",1) t2: (String, Int) = (test,1) scala> t2.getClass res0: Class[_ val t3=("ok",12,100.0) t3: (String, Int, Double) = (ok,12,100.0) scala> t3.getClass res1: Class[_

def tupleToList(p:Product) = p.productIterator.toListval l1 = tupleToList( (1,2,3,4,5) ).map( _.toString.toInt)

没有tuple1 scala> val t2=("test",1) t2: (String, Int) = (test,1) scala> t2.getClass res0: Class[_ val t3=("ok",12,100.0) t3: (String, Int, Double) = (ok,12,100.0) scala> t3.getClass res1: Class[_

定义的时候就确定长度了。把很多的list放进tuple中那么就得在定义tuple的时候确定好多个list结合之后的结果

import scala.Tuple2;import java.util.Date;import java.util.List;/** * Created by Administrator on 2015/12/8. */public class ConnectMongo { public ...

import org.apache.spark.api.java.function.Function2;import org.apache.spark.api.java.function.PairFunction;import scala.Tuple2; import java.io.ByteArray...

import scala.Tuple2; import com.google.common.collect.Lists; import org.apache.spark.SparkConf; import org.apache.spark.api.java.function.FlatMapFunction;...

先抛个问题,下面的语句是否都合理(编译通过),哪些会引起模式匹配? scala> val a = 100 scala> val A = 100 scala> val a@b = 100scala> val (a,b) = (100,200)scala> val (a,B) = (100,200) //第二个变量大写scala> val Array(a,b) = Array(1...

import scala.Serializable; 023 import scala.Tuple2; 024 025 public class IPAddressStats implements Serializable { 026 027 private static final long serial...

3.确保hadoop集群配置了 HADOOP_CONF_DIR or YARN_CONF_DIR 1.yarn-standalone方式提交到yarn 在${SPARK_HOME}下面执行: SPARK_JAR=./assembly/target/scala-2...

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