Wang Jialin's in-depth case-driven practice of cloud computing distributed Big Data hadoop in July 6-7 in Shanghai
This section describes how to use the HDFS command line tool to operate hadoop distributed clusters:
Step 1: Use the hsfs command to store a large file in a hadoop distributed cluster;
Step 2: delete the file and use two copies to s
First, download the Hadoop websitehttp://hadoop.apache.orghttps://archive.apache.org/dist/hadoop/common/hadoop-2.6.0 Administrator Identity Decompression D:\Hadoop\hadoop-2.6.0Second, the download of winutilsAlso need to download Winutils.exe,requires a corresponding version
Part 1: hadoop BinThe following hadoop bin is based on the actual needs of the project:Hadoop ShellHadoop-config.sh, which is used to assign values to some variablesHadoop_home (hadoop installation directory ).Hadoop_conf_dir (hadoop configuration file directory ). Hadoop_slaves (-- the address of the file specified by
Ubuntu installation (Here I do not catch a map, just cite a URL, I believe that everyone's ability)Ubuntu Installation Reference Tutorial: http://jingyan.baidu.com/article/14bd256e0ca52ebb6d26129c.htmlNote the following points:1, set the virtual machine's IP, click the network connection icon in the bottom right corner of the virtual machine, select "Bridge mode", so as to assign to your LAN IP, this is very important because the back Hadoop to use th
Description: Compile hadoop program using eclipse in window and run on hadoop. the following error occurs:
11/10/28 16:05:53 info mapred. jobclient: running job: job_201110281103_000311/10/28 16:05:54 info mapred. jobclient: Map 0% reduce 0%11/10/28 16:06:05 info mapred. jobclient: task id: attempt_201110281103_0003_m_000002_0, status: FailedOrg. apache. hadoop.
Hadoop interview questions (1) and hadoop interview questions
I. Q :
1. Briefly describe how to install and configure an apache open-source version of hadoop. You only need to describe it. You do not need to list the complete steps and the steps are better.
1) install JDK and configure environment variables (/etc/profile)
2) disable the Firewall
3) configure the
Today the Hadoop authoritative Guide Weather Data sample code runs through the Hadoop cluster and records it.
Before the Baidu/google how also did not find how to map-reduce way to run in the cluster every step of the specific description, after a painful headless fly-style groping, success, a good mood ...
1 Preparing the Weather forecast data (simplified version of the data on the authoritative guide 5-9
Pre-Preparation 1. Create a Hadoop-related directory (easy to manage) 2, give Hadoop users and all group permissions to the/opt/* directorysudo chrown-r hadoop:hadoop/opt/*3, JDK installation and configuration configuration Hdfs/yarn/mamreduce1, decompression HadoopTAR-ZXF hadoop-2.5.0.tar.gz-c/opt/modules/(delete Doc's help document, save space) rm-rf/opt/module
-p '-F/HOME/U/.SSH/ID_DSASsh-keygen indicates that the key is generated-T means the specified generated key typeDSA is the meaning of DSA key authentication, that is, the key type-P provides a passphrase-f Specifies the generated key file(4) # cat/home/u/.ssh/id_dsa.pub >>/home/u/.ssh/authorized_keys# Add the public key to the public key file for authentication, Authorized_keys is the public key file for authentication(5) # Ssh-version# Verify that SSH installation is complete and the correct in
additional openssh-clients(3) # Mkdir-p ~/.ssh # Assume that after you install SSH, these folders are not actively generated by yourself, please create your own(4) # ssh-keygen-t Dsa-p "-F ~/.SSH/ID_DSASsh-keygen indicates that the key is generated-T means the specified generated key typeDSA is the meaning of DSA key authentication, that is, the key type-P provides a passphrase-f Specifies the generated key file(5) # cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys# Add the public key to the pub
Once Hadoop is installed, you will often be prompted with a warning:
WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ...
Using Builtin-java classes where applicableSearched a lot of articles, all say is related to the system bit number, I use CentOS 6.5 64-bit operating system.
The first two days in the Docker image to find a step to solve the problem, the pro tried
We know that the Hadoop cluster is fault-tolerant, distributed and so on, why it has these characteristics, the following is one of the principles.
Distributed clusters typically contain a very large number of machines, and due to the limitations of the rack slots and switch ports, the larger distributed clusters typically span several racks, and the machines on multiple racks form a distributed cluster. The network speed between the machines in the
Knowing and learning about Hadoop, we have to understand the composition of Hadoop, and based on my own experience, I introduce the Hadoop component, the big data processing process, and the three aspects of Hadoop core:
Hadoop Components
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This article is derived from the deep analysis of Hadoop Technology Insider design and implementation principles of Hadoop common and HDFs architectureFirst, the basic concept of Hadoop
Hadoop is an open source distributed computing platform under the Apache Foundation, with the core of the
I. Introduction to the Hadoop releaseThere are many Hadoop distributions available, with Intel distributions, Huawei Distributions, Cloudera Distributions (CDH), hortonworks versions, and so on, all of which are based on Apache Hadoop, and there are so many versions is due to Apache Hadoop's Open source agreement: Anyone can modify it and publish/sell it as an op
Today, HDFS, the core of hadoop, is very important. It is a distributed file system. Why does hadoop support massive data storage? In fact, it depends mainly on the HDFS capability, mainly on the ability of HDFS to store massive data.
1. Why can HDFS store massive data?
In the beginning, let's think about this problem. I don't need to talk about the basic concepts of HDFS ~ We focus on usage rather than "re
Tags: hadoop Linux environment construction
Build a pseudo-distributed hadoop Environment
1. network connection between the host machine (Windows) and the client (Linux installed in a virtual machine.
A) The host-only host is connected to the client separately;
Benefits: Network isolation;
Disadvantage: the virtual machine cannot communicate with other servers;
B. The bridge host is in the same LAN as the c
combine multiple files into one ZIP file. Each file is compressed separately, and all files are stored at the end of the ZIP file. This attribute indicates that the ZIP file supports splitting at the file boundary. Each part contains one or more files in the zip compressed file.
Hadoop CompressionAlgorithmAdvantages and disadvantages
When considering how to compress data that will be processed by mapreduce, it is important to consider whether the
Http://devsolvd.com/questions/hadoop-unable-to-load-native-hadoop-library-for-your-platform-error-on-centos The answer depends ... I just installed Hadoop 2.6 from Tarball on 64-bit CentOS 6.6. The Hadoop install did indeed come with a prebuilt 64-bit native library. For my install, it's here: /opt/
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