Private Final Java

This article covers some JVM principles and Java bytecode Directives, recommend interested readers to read a classic book on the JVM, Deep Java Virtual Machine (2nd edition), and compare it with the IL assembly directives I described in ". NET 4.0 object-oriented Programming". Believe that readers will have some inspiration. 　　It is one of the most effective learning methods to compare the similarities and differences of two similar things carefully. In the future, I will also release other articles on personal blog, hoping to help readers of the book broaden their horizons, inspire thinking, we discuss technology together ...

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.

Knowing how the MapReduce program works, the next step is to implement it through code. We need three things: a map function, a reduce function, and some code to run the job. The map function is represented by the Mapper interface implementation, which declares a map () method. 　　Example 2-3 shows our map function implementation. Example 2-3. Find the highest temperature of the mapper import java.io.IOException; &http ...

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 ...

"Article abstract" Enterprise development of cloud computing process is divided into 5 stages, the general Enterprise first step into virtualization for internal integration, and then create a private cloud, the last will use a variety of public clouds. These 5 phases include server virtualization for phase 1th, decentralized virtualization for phase 2nd, private cloud 3rd, phase 4th Hybrid cloud, and the final phase, public cloud. Gartner, an international renowned analyst, regularly surveys global CIOs every year, and CIOs think the most important technology in the 2011 is cloud computing, followed by virtualization. In fact, these two skills ...

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 ...

The 2007 World Wide Web Consortium Project HTML5, until the end of October 2014, the eight-year specification finally formally sealed. Over the past few years, HTML5 has subverted the pattern of PC Internet and optimized the experience of mobile Internet, and then HTML5 will subvert the native app world. This may sound alarmist, but if you take a serious look at the history of HTML5, you will find that this is the world's trend indeed. Know history to predict the future, first let us see why the birth of HTML5, these 8 years is how to come. One...

What we want to does in this short tutorial, I'll describe the required tournaments for setting up a single-node Hadoop using the Hadoop distributed File System (HDFS) on Ubuntu Linux. Are lo ...

The road to computer science is littered with things that will become "the next big thing". Although many niche languages do find some place in scripts or specific applications, C (and its derivatives) and Java languages are hard to replace. But Red Hat's Ceylon seems to be an interesting combination of some language features, using the well-known C-style syntax, but it also provides object-oriented and some useful functional support in addition to simplicity. Take a look at Ceylon and see this future VM ...

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 ...