4th Chapter HDFs java API
4.5 Java API Introduction
In section 4.4 We already know the HDFs Java API configuration, filesystem, path, and other classes, this section will detail the HDFs Java API, a section to demonstrate more applications. 4.5.1 Java API website
Statement
This article is based on CentOS 6.x + CDH 5.x
In this example, Hbase is installed in cluster mode
This article is based on maven3.5+ and Eclipse 4.3
After the tutorial, we must look at the following
We do not build hbase to use the shell to check the data, we are writing HBase-based applications, so learning how to use Java to invoke HBase is a required course. Setting up
society. The purpose of multithreading is to allow a process to process multiple tasks or requests simultaneously. For example, the QQ software we use now can chat with multiple people at the same time, we can also compile the code when developing code using eclipse, tomcat can serve multiple user requests at the same time.How can I change a single-process program into a multi-threaded program with so many advantages of threads? Different languages have different implementations. Here we talk a
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Big Data Architecture Development mining analysis Hadoop Hive HBase Storm Spark Flume ZooKeeper Kafka Redis MongoDB Java cloud computing machine learning video tutorial, flumekafkastorm
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Testhivedrivertable1terry2alex3jimmy4mike5katerunning:select count (1) from TesthivedrivertableIn fact, the Java call is very simple, that is, you execute the statement in the hive shell with JDBC to do it again, so you transfer the past statement of the environment is the Hive server machine, which is written in the path from the hive server host root directory path to find data, So our a.txt has to be uploaded to the server, and this code will run
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1. Hadoop Java APIThe main programming language for Hadoop is Java, so the Java API is the most basic external programming interface.2. Hadoop streaming1. OverviewIt is a toolkit designed to facilitate the writing of MapReduce pro
We all know that an address has a number of companies, this case will be two types of input files: address classes (addresses) and company class (companies) to do a one-to-many association query, get address name (for example: Beijing) and company name (for example: Beijing JD, Beijing Associated information for Red Star).Development environmentHardware environment: Centos 6.5 server 4 (one for master node, three for slave node)Software Environment: Java
We all know that an address has a number of companies, this case will be two types of input files: address classes (addresses) and company class (companies) to do a one-to-many association query, get address name (for example: Beijing) and company name (for example: Beijing JD, Beijing Associated information for Red Star).Development environmentHardware environment: Centos 6.5 server 4 (one for master node, three for slave node)Software Environment: Java
Word count is one of the simplest and most well-thought-capable programs, known as the MapReduce version of "Hello World", and the complete code for the program can be found in the Src/example directory of the Hadoop installation package. The main function of Word counting: count the number of occurrences of each word in a series of text files, as shown in. This blog will be through the analysis of WordCount source code to help you to ascertain the ba
Single-machine mode requires minimal system resources, and in this installation mode, Hadoop's Core-site.xml, Mapred-site.xml, and hdfs-site.xml configuration files are empty. By default, the official hadoop-1.2.1.tar.gz file uses the standalone installation mode by default. When the configuration file is empty, Hadoop runs completely locally, does not interact with other nodes, does not use the
Hadoop has always been the technology I want to learn, just as the recent project team to do e-mall, I began to study Hadoop, although the final identification of Hadoop is not suitable for our project, but I will continue to study, more and more do not press.The basic Hadoop tutor
Reprinted from http://blessht.iteye.com/blog/2095675Hadoop has always been the technology I want to learn, just as the recent project team to do e-mall, I began to study Hadoop, although the final identification of Hadoop is not suitable for our project, but I will continue to study, more and more do not press.The basic Hadoop
to compile Hadoop, and Ant needs to use some tools provided by Cygwin, such as sed, can download Ant from: http://ant.apache.org/ivy/download.cgi, from http://www.cygwin.cn/download Cygwin (Cygwin installation, for more information, see "tutorial on installing Hadoop on Windows ). After installation, add the bin directories of Ant and Cygwin to the environment v
Basic Hadoop tutorial
This document uses the Basic Environment configuration of the K-Master server as an example to demonstrate user configuration, sudo permission configuration, network configuration, firewall shutdown, and JDK installation. Follow these steps to complete KVMSlave1 ~ The Basic Environment configuration of the KVMSlave3 server.Development Environment
Hardware environment: Four CentOS 6.5
differentiated and can be applied to both Ubuntu and centos/redhat systems. For example, this tutorial takes the Ubuntu system as the main demo environment, but the different configurations of Ubuntu/centos, the CentOS 6.x and CentOS 7 operating differences will be given as far as possible.EnvironmentThis tutorial uses Ubuntu 14.04 64-bit as a system environment, based on native
To do well, you must first sharpen your tools.
This article has built a hadoop standalone version and a pseudo-distributed development environment starting from scratch. It is illustrated in the following figures and involves:
1. Develop basic software required by hadoop;
2. Install each software;
3. Configure the hadoop standalone mode and run the wordco
01_note_hadoop introduction of source and system; Hadoop cluster; CDH FamilyUnzip Tar Package Installation JDK and environment variable configurationTAR-XZVF jdkxxx.tar.gz to/usr/app/(custom app to store the app after installation)Java-version View current system Java version and environmentRpm-qa | grep Java View inst
are going to install our Hadoop lab environment on a single computer (virtual machine). If you have not yet installed the virtual machine, please check out the VMware Workstations Pro 12 installation tutorial. If you have not installed the Linux operating system in the virtual machine, please install the Ubuntu or CentOS tutorial under VMware.
The installed mode
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