6.Scala中的Map和Tupple

本文详细介绍了Scala中Map和Tuple的使用方法,包括构造不可变和可变Map、使用SortedMap和LinkedHashMap进行排序,以及如何操作Tuple。此外还提供了丰富的代码示例。

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1.默认情况下Map构造的是不可变的集合,里面的内容不可修改,一旦修改就变成了新的Map,原有的Map的内容保持不变

2.Map的实例是调用工厂方法模式apply来构造Map实例的,而需要注意的是Map是接口,在apply中使用了具体的实现

3.如果想直接new出Map实例,则需要使用HashMap等具体的Map子类

4.查询一个Map中的值,一定采用getOrElese的语法,一方面在key不存在的情况下不报异常,还有一个作用就是提供默认的值;

5.使用SortMap可以得到排序的Map的集合

6.LinkedHashMap可以得到排序的Map集合

7.Tuple中可以有很多不同类型的数据,例如(“I am geeksu”,"male",18,"I like Spark")

8.Tuple另外一个非常重要的作用是作为函数的返回值,返回值的Tuple中返回若干值。Spark源码例子:

 val (sched, ts) = SparkContext.createTaskScheduler(this, master, deployMode)
    _schedulerBackend = sched
    _taskScheduler = ts

9.scala实例

object HelloMapTuple {
  def main(args: Array[String]): Unit = {
    //调用工厂方法模式apply来构造Map实例,而需要注意的是Map是接口,在apply中使用了具体的实现
    val bigData = Map("Spark" -> 6,"Hadoop" -> 11)
    //第二种写法
    //  val persons = Map(("It",21),("Project",10))
    val persons = scala.collection.immutable.SortedMap("Scala" -> 13,"Java" -> 23)

    val language = scala.collection.mutable.Map("Scala"->13,"Java" -> 23)
    language("scala") = 15
    for((name,age) <- language) println(name + ":" + age)

    println(language.getOrElse("Python","does not exit this key"))
    val personsInformation = new mutable.HashMap[String,Int]()
    personsInformation += ("scala" -> 12,"Java" -> 25)
    personsInformation -= ("Java")
    for((name,age) <- personsInformation) println(name + " : " + age)
    //只遍历key
    for(key <- personsInformation.keySet) println(key)
    //只遍历value
    for(value <- personsInformation.values) println(value)

    //利用已有的Map构建新的Map(key,value交换)
    val result = for((name,age) <- personsInformation) yield (age,name)
    for((name,age) <- result) println(name + ":" + age) //12:scala

    for((name,age) <- personsInformation) println(name + " : " + age)

    //LinkedHashMap的使用 --> 使用插入顺序
    val personInfoLiked = new scala.collection.mutable.LinkedHashMap[String,Int]
    personInfoLiked += ("hive" -> 12,"Hbase" -> 9,"Kafka" -> 100)

    for((name,age) <- personInfoLiked) println(name + ":" + age)

    val information = ("woshiwangjialin","male",30,"I am into spark too much")
    println(information._1)
    println(information._2)
    println(information._3)
  }

}


Error:scalac: Error: Error compiling the sbt component 'compiler-interface-2.10.0-52.0' sbt.internal.inc.CompileFailed: Error compiling the sbt component 'compiler-interface-2.10.0-52.0' at sbt.internal.inc.AnalyzingCompiler$.handleCompilationError$1(AnalyzingCompiler.scala:331) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$4(AnalyzingCompiler.scala:346) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$4$adapted(AnalyzingCompiler.scala:341) at sbt.io.IO$.withTemporaryDirectory(IO.scala:376) at sbt.io.IO$.withTemporaryDirectory(IO.scala:383) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$2(AnalyzingCompiler.scala:341) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$2$adapted(AnalyzingCompiler.scala:335) at sbt.io.IO$.withTemporaryDirectory(IO.scala:376) at sbt.io.IO$.withTemporaryDirectory(IO.scala:383) at sbt.internal.inc.AnalyzingCompiler$.compileSources(AnalyzingCompiler.scala:335) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl$.org$jetbrains$jps$incremental$scala$local$CompilerFactoryImpl$$getOrCompileInterfaceJar(CompilerFactoryImpl.scala:123) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl.$anonfun$getScalac$1(CompilerFactoryImpl.scala:55) at scala.Option.map(Option.scala:163) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl.getScalac(CompilerFactoryImpl.scala:47) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl.createCompiler(CompilerFactoryImpl.scala:25) at org.jetbrains.jps.incremental.scala.local.CachingFactory.$anonfun$createCompiler$3(CachingFactory.scala:24) at org.jetbrains.jps.incremental.scala.local.Cache.$anonfun$getOrUpdate$2(Cache.scala:20) at scala.Option.getOrElse(Option.scala:138) at org.jetbrains.jps.incremental.scala.local.Cache.getOrUpdate(Cache.scala:19) at org.jetbrains.jps.incremental.scala.local.CachingFactory.createCompiler(CachingFactory.scala:24) at org.jetbrains.jps.incremental.scala.local.LocalServer.compile(LocalServer.scala:34) at org.jetbrains.jps.incremental.scala.remote.Main$.compileLogic(Main.scala:117) at org.jetbrains.jps.incremental.scala.remote.Main$.handleCommand(Main.scala:109) at org.jetbrains.jps.incremental.scala.remote.Main$.serverLogic(Main.scala:95) at org.jetbrains.jps.incremental.scala.remote.Main$.nailMain(Main.scala:53) at org.jetbrains.jps.incremental.scala.remote.Main.nailMain(Main.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at com.martiansoftware.nailgun.NGSession.run(NGSession.java:319)
最新发布
08-15
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