书名：Hadoop The Definitive Guide 语言：英文 The rest of this book is organized as follows. Chapter 2 provides an introduction to MapReduce. Chapter 3 looks at Hadoop filesystems, and in particular HDFS, in depth. Chapter 4 covers the fundamentals of I/O in
Hadoop: The Definitive Guide 1. Meet Hadoop 2. MapReduce 3. The Hadoop Distributed Filesystem 4. Hadoop I/O 5. Developing a MapReduce Application 6. How MapReduce Works 7. MapReduce Types and Formats 8. MapReduce Features 9. Setting Up a Hadoop Clus
With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now,
In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experie
在伴生对象中定义apply方法，可以实现：类名(参数)方式来创建对象实例
object boke_demo01 {
def main(args: Array[String]): Unit = {
val list = List(1, 2, 5)
println(list)
val pig = new Pig(狗蛋)
//使用apply方法来创建对象
val pig2 = Pig(铁蛋) //自动 apply(pName: String)
va
