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Apache Jackrabbit v2.2.5 publishes Java API version Content storage specification

The Apache Jackrabbit is an implementation of a content Storage specification (JCR) that complies fully with the Java API version. is an open source implementation of JSR-170 provided by http://www.aliyun.com/zixun/aggregation/14417.html ">apache Foundation". Update Description: BUG fixes [JCR-2888] Namespace Co ...

Running Hadoop on Ubuntu Linux (Single-node Cluster)

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 ...

How to submit yarn MapReduce computing tasks through Java programs

Due to the requirements of the project, it is necessary to submit yarn MapReduce computing tasks through Java programs.   Unlike the general task of submitting MapReduce through jar packages, a small change is required to submit mapreduce tasks through the program, as detailed in the following code.   The following is MapReduce main program, there are a few points to mention: 1, in the program, I read the file into the format set to Wholefileinputformat, that is, not to the file segmentation. 2, in order to control the treatment of reduce ...

Running Hadoop on Ubuntu Linux (multi-node Cluster)

What we want to does in this tutorial, I'll describe the required tournaments for setting up a multi-node Hadoop cluster using the Hadoop Distributed File System (HDFS) on Ubuntu Linux. Are you looking f ...

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 ...

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Hadoop FAQ

Hadoop FAQ 1. What is Hadoop? Hadoop is a distributed computing platform written in Java. It incorporates features errors to those of the Google File System and of MapReduce. For some details, ...

A brief talk on the revelation of Stationmaster Jijun's pioneering story

The intermediary transaction SEO diagnose Taobao guest Cloud host technology Hall first see revelation, Entrepreneurial Story "Jijun" with QQ expression "in exchange for 3 million RMB" followed. Revelation One: To think independently, to find business opportunities, follow the bandwagon is difficult to big.   His QQ expression stems from his own emotional life, this is certainly not followed by the following. Revelation Two: Has the strong network communication ability, especially knows "does the flow" the person. Once a friend said I brought you some traffic, the next day Jijun found traffic really much bigger. Before many old stationmaster repeatedly ...

Spark Source read two-sparkapplication running process

Code version: Spark 2.2.0 This article mainly describes a creator running process. Generally divided into three parts: (1) sparkconf creation, (2) Sparkcontext creation, (3) Task execution. If we use Scala to write a wordcount program to count the words in a file, package Com.spark.myapp import Org.apache.spark. {Sparkcontext, Spar ...

Openlogic PAAs will support multiple programming languages

Original: Openlogic is launching a platform-as-a-service offering "aims to give users" flexibility that many     About Infrastructure-as-a-service without the work. C ...

Distributed parallel programming with Hadoop, part 3rd

Foreword in the first article of this series: using Hadoop for distributed parallel programming, part 1th: Basic concepts 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 a parallel program based on Hadoop in a stand-alone and pseudo distributed environment (with multiple process simulations on a single machine). In the second article of this series: using Hadoop for distributed parallel programming, ...

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