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。


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)
  }

}


scala: Error: Error compiling the sbt component 'compiler-bridge-2.12.11-68.0.jar' sbt.internal.inc.CompileFailed: Error compiling the sbt component 'compiler-bridge-2.12.11-68.0.jar' at sbt.internal.inc.AnalyzingCompiler$.handleCompilationError$1(AnalyzingCompiler.scala:436) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$5(AnalyzingCompiler.scala:453) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$5$adapted(AnalyzingCompiler.scala:448) at sbt.io.IO$.withTemporaryDirectory(IO.scala:496) at sbt.io.IO$.withTemporaryDirectory(IO.scala:506) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$2(AnalyzingCompiler.scala:448) at sbt.internal.inc.AnalyzingCompiler$.$anonfun$compileSources$2$adapted(AnalyzingCompiler.scala:440) at sbt.io.IO$.withTemporaryDirectory(IO.scala:496) at sbt.io.IO$.withTemporaryDirectory(IO.scala:506) at sbt.internal.inc.AnalyzingCompiler$.compileSources(AnalyzingCompiler.scala:440) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl$.org$jetbrains$jps$incremental$scala$local$CompilerFactoryImpl$$getOrCompileInterfaceJar(CompilerFactoryImpl.scala:192) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl.$anonfun$getScalac$2(CompilerFactoryImpl.scala:86) at scala.Option.getOrElse(Option.scala:201) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl.$anonfun$getScalac$1(CompilerFactoryImpl.scala:80) at scala.Option.map(Option.scala:242) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl.getScalac(CompilerFactoryImpl.scala:71) at org.jetbrains.jps.incremental.scala.local.CompilerFactoryImpl.createCompiler(CompilerFactoryImpl.scala:20) at org.jetbrains.jps.incremental.scala.local.CachingFactory.$anonfun$createCompiler$1(CachingFactory.scala:17) at org.jetbrains.jps.incremental.scala.local.Cache.compute(Cache.scala:74) at org.jetbrains.jps.incremental.scala.local.Cache.getOrUpdate(Cache.scala:63) at org.jetbrains.jps.incremental.scala.local.CachingFactory.createCompiler(CachingFactory.scala:16) at org.jetbrains.jps.incremental.scala.local.LocalServer.doCompile(LocalServer.scala:40) at org.jetbrains.jps.incremental.scala.local.LocalServer.compile(LocalServer.scala:28) at org.jetbrains.jps.incremental.scala.remote.Main$.compileLogic(Main.scala:209) at org.jetbrains.jps.incremental.scala.remote.Main$.$anonfun$handleCommand$1(Main.scala:190) at org.jetbrains.jps.incremental.scala.remote.Main$.decorated$1(Main.scala:177) at org.jetbrains.jps.incremental.scala.remote.Main$.handleCommand(Main.scala:187) at org.jetbrains.jps.incremental.scala.remote.Main$.serverLogic(Main.scala:160) at org.jetbrains.jps.incremental.scala.remote.Main$.nailMain(Main.scala:100) at org.jetbrains.jps.incremental.scala.remote.Main.nailMain(Main.scala) at java.base/jdk.internal.reflect.DirectMethodHandleAccessor.invoke(DirectMethodHandleAccessor.java:104) at java.base/java.lang.reflect.Method.invoke(Method.java:565) at com.facebook.nailgun.NGSession.runImpl(NGSession.java:312) at com.facebook.nailgun.NGSession.run(NGSession.java:198)
最新发布
06-19
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