String Iterator

Iterator and iterable objects in Java. Let's take a look at the difference between these two objects and how to implement the for each loop in a custom class.

Java Iterator is an interface that provides only the basic rules for iteration, and a foreach loop can be used for any container that implements the Iterable interface.

Java iterator is mainly used to manipulate collection objects in java. Java provides an iterator interface Iterator. Iterator can only move forward and cannot be rolled back.

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.

After completing the four basic learning steps of Apache Cassandra, you can try the actual code. If necessary, it is recommended to briefly review: Apache Cassandra Learning Step (1) Apache Cassandra Learning Ste ...

This article describes the use of java iterators to traverse ArrayList collections, Set collections, and Map collections.

1. Prepare to work, after installing good habse, execute hbase Shell create ' table name ', ' column name 1 ', ' Column Name 2 ', ' Column name n ' create ' table name ', ' column family name ' in HBase column can be dynamically added, only need to have a row family on it Create ' Test_lcc_person ', ' Lcc_liezu ' and then add some data key the same is a piece of data, a total of 6 data put ' table name ', ' Rowk ...

Objective This tutorial provides a comprehensive overview of all aspects of the Hadoop map-reduce framework from a user perspective. Prerequisites First make sure that Hadoop is installed, configured, and running correctly. See more information: Hadoop QuickStart for first-time users. Hadoop clusters are built on large-scale distributed clusters. Overview Hadoop Map-reduce is a simple software framework, based on which applications are written to run on large clusters of thousands of commercial machines, and with a reliable fault tolerance ...

Objective This tutorial provides a comprehensive overview of all aspects of the Hadoop map/reduce framework from a user perspective. Prerequisites First make sure that Hadoop is installed, configured, and running correctly. See more information: Hadoop QuickStart for first-time users. Hadoop clusters are built on large-scale distributed clusters. Overview Hadoop Map/reduce is a simple software framework, based on which applications can be run on a large cluster of thousands of commercial machines, and with a reliable fault-tolerant ...

Foreword in an article: "Using Hadoop for distributed parallel programming the first part of the basic concept 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 based on A parallel program for Hadoop. In this article, we will describe how to write parallel programs based on Hadoop and how to use the Hadoop ecli developed by IBM for a specific computing task.