How To Iterate A Collection In Java

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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.

Detailed description of Iterable and Iterator in java

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 Foundation 8: Java Iterator and foreach loops

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 iterators -- Iterator and Iterable interfaces

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.

Traversing collection data using Java iterators

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

Data import HBase Three most commonly used methods and practice analysis

To use Hadoop, data consolidation is critical and hbase is widely used. In general, you need to transfer data from existing types of databases or data files to HBase for different scenario patterns. The common approach is to use the Put method in the HBase API, to use the HBase Bulk Load tool, and to use a custom mapreduce job. The book "HBase Administration Cookbook" has a detailed description of these three ways, by Imp ...

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

The reason for contrasting hadoop,spark by many Parties

At the moment, http://www.aliyun.com/zixun/aggregation/13383.html ">spark has gained popularity, and a distributed computing approach based on map reduce makes spark similar to Hadoop,   It is more versatile than Hadoop, with more efficient iterations and more fault-tolerant capabilities, and future spark will be a very successful parallel computing framework. "Editor's note" author Mikio Braun is Berlin industrial big ...

Comparing Hadoop analysis Spark is a popular reason

As a common parallel processing framework, http://www.aliyun.com/zixun/aggregation/13383.html ">spark has some advantages like Hadoop, and Spark uses better memory management, In iterative computing has a higher efficiency than Hadoop, Spark also provides a wider range of data set operation types, greatly facilitate the development of users, checkpoint application so that spark has a strong fault tolerance, many ...

Open source cloud Computing Technology Series Three (10gen) installation configuration

10gen is a cloud computing platform that can provide scalable, high-performance data storage solutions for Web applications. 10gen Open Source project is MongoDB, the main function is to solve the website of operational data storage, session object storage, data caching, efficient real-time count (such as statistical pv,uv), and support ruby,python,java,c++, PHP and many other page languages. MongoDB main feature is the storage of data is very convenient, not the traditional object-rel ...

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