Java Topics List

Here to find year-end inventory counts 2017 top 20 hot topics in Yunqi Community (with 100+ topic list)

Kafka Basic Use Method (Java). Procedure: Create topic $ cd/opt/cloudera/parcels/kafka-2.1.1-1.2.1.1.p0.18 $ bin/kafka-topics--create--zookeeper localhost : 2181--replication-factor 1--partitions 1--topic test Analysis:

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 ...

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 ...

1. HQueue profile HQueue is a set of distributed, persistent message queues developed by hbase based on the search web crawl offline Systems team. It uses htable to store message data, HBase coprocessor to store the original keyvalue data in the message data format, and encapsulates the HBase client API for message access based on the HQueue client API. HQueue can be effectively used in the need to store time series data, as MAPR ...

At present, what is cloud computing, what kind of platform belongs to the cloud computing platform, and so on cloud computing related issues, different hardware and software manufacturers have their own different understanding, have their own different definitions. The cloud computing platform they offer is also vastly different. When it comes to cloud computing, people always think of these things: high scalability (scalability), cost savings (saving), on-demand (use on Demand), and so on. Let's give it a few of the myriad things that cloud computing brings ...

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley. 　　It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...

VMware suddenly released its first open source Paas--cloudfoundry this April. In the months since its release, the author has been concerned about its evolution and benefited from its architectural design, and felt the need to write to share it with you. This article will be divided into two parts: the first part mainly introduces the architecture design of Cloudfoundry, from the module that it contains, to the information flow of each part, how the modules coordinate and cooperate; The second part will be based on the first part, how to use Clou in your data center ...

There are a few things to explain about prismatic first. Their entrepreneurial team is small, consisting of just 4 computer scientists, three of them young Stanford and Dr. Berkeley. They are using wisdom to solve the problem of information overload, but these PhDs also act as programmers: developing Web sites, iOS programs, large data, and background programs for machine learning needs. The bright spot of the prismatic system architecture is to solve the problem of social media streaming in real time with machine learning. Because of the trade secret reason, he did not disclose their machine ...

Use the right development tools to quickly and efficiently complete the source code writing and testing, so that programming with less effort. In the rapid development of network information today, the convenience of mobile devices has been deeply rooted, more and more programmers will choose to feel comfortable in any place using mobile devices to view or edit the source code. As a result, a lot of code programming on the Android platform came into being, and the code Editor, compiler and development environment in Google's App store abound. Because of the different characteristics and shortcomings of tools, because ...