Java Class Literal

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Deep understanding of Java iterators

Java Iterable interface and the Iterator interface. The class that implements the Iterable interface is iterable; the class that implements the Iterator interface is an iterator.

The combination of Spark and Hadoop

Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...

Groovy 1.8 Release

Groovy is a JVM based Agile development language that combines many of the powerful features of Python, http://www.aliyun.com/zixun/aggregation/13430.html, >ruby, and Smalltalk. The main features of Groovy include: An agile dynamic language based on a Java virtual machine. Built on the powerful Java language and added from Python,ruby and Smalltalk ...

Android user interface design: linear layout

Understanding layouts is important for good Android programming. In this tutorial, you'll learn all about linear layouts, which organize user interface controls or gadgets vertically or horizontally on the screen. With proper use, a linear layout can be used as a basic layout, based on which many interesting Android user interfaces can be designed. What is linear layout linear layout is the simplest, Android developers use one of the most layout types, developers use it to organize your user interface controls. The function of linear layout is like ...

Distributed parallel programming with Hadoop, part 3rd

Foreword in the first article of this series: using Hadoop for distributed parallel programming, part 1th: Basic concepts and installation deployment, introduced the MapReduce computing model, Distributed File System HDFS, distributed parallel Computing and other basic principles, and detailed how to install Hadoop, How to run a parallel program based on Hadoop in a stand-alone and pseudo distributed environment (with multiple process simulations on a single machine). In the second article of this series: using Hadoop for distributed parallel programming, ...

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