Java Return Exception

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Java Development 2.0: Implementing REST through CouchDB and Groovy restclient

In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...

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 Large data processing

Take the XX data file from the FTP host.   Tens not just a concept, represents data that is equal to tens of millions or more than tens of millions of data sharing does not involve distributed collection and storage and so on. Is the processing of data on a machine, if the amount of data is very large, you can consider distributed processing, if I have this experience, will be in time to share.   1, the application of the FTP tool, 2, tens the core of the FTP key parts-the list directory to the file, as long as this piece is done, basically the performance is not too big problem. You can pass a ...

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.

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.

HDFs Java Access interface

I. Build HADOOP development environment The various code that we have written in our work is run in the server, and the HDFS operation code is no exception. During the development phase, we used eclipse under Windows as the development environment to access the HDFs running in the virtual machine. That is, accessing HDFs in remote Linux through Java code in local eclipse. To access the HDFS in the client computer using Java code from the host, you need to ensure the following: (1) Ensure host and client ...

Java large data processing-large numbers of datasets to Excel

In Java Web Development, it is often necessary to export a large amount of data to http://www.aliyun.com/zixun/aggregation/16544.html ">excel, using POI, JXL directly generate Excel,   It is easy to cause memory overflow.   1, there is a way, is to write data in CSV format file.   1 CSV file can be opened directly with Excel. 2 Write CSV file efficiency and write TXT file efficiency ...

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 ...

Hadoop Serialization System

This article is my second time reading Hadoop 0.20.2 notes, encountered many problems in the reading process, and ultimately through a variety of ways to solve most of the.   Hadoop the whole system is well designed, the source code is worth learning distributed students read, will be all notes one by one post, hope to facilitate reading Hadoop source code, less detours. 1 serialization core Technology The objectwritable in 0.20.2 version Hadoop supports the following types of data format serialization: Data type examples say ...

"Book pick" Big Data development deep HDFs

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

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