.
Modify core-site.xml
Modify hdfs-site.xml
Modify mapred-site.xml
7) modify the hadoop/conf/hadoop-evn.xml file, where the jdk path is specified.Export JAVA_HOME =/usr/local/jdk
8) Modify/hadoop/conf/masters and slaves to negotiate the Virtual Machine name to let hadoop know the host and datanode
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 Preparin
and need to work with active NN and standby NN report block information; Advantages: Information is not lost, recovery fast (seconds) Disadvantage: Facebook based on Hadoop0.2 development, the deployment of a little trouble; additional machine resources are required, and NFS becomes another single point (but with a low failure rate) of 4. Hadoop2.0 directly supports standby NN, draws on Facebook's avatar, and then makes some improvements: information is not lost, recovery is fast (seconds), sim
Whether you are adding machines and removing machines in a Hadoop cluster, there is no downtime and the entire service is uninterrupted.
Before this operation, the cluster of Hadoop is as follows:
The machine condition for HDFs is as follows:
The machine condition of Mr is as follows:
Adding Machines
In the master mac
Apache Ambari is a Web-based tool that supports the supply, management, and monitoring of Apache Hadoop clusters. Ambari currently supports most Hadoop components, including HDFS, MapReduce, Hive, Pig, Hbase, Zookeper, Sqoop, and Hcatalog.Apache Ambari supports centralized management of HDFS, MapReduce, Hive, Pig, Hbase, Zookeper, Sqoop, and Hcatalog. It is also one of the five top-level
Course Outline and Content introduction:About 35 minutes per lesson, no less than 40 lecturesThe first chapter (11 speak)• Distributed and traditional stand-alone mode· Hadoop background and how it works· Analysis of the working principle of MapReduce• Analysis of the second generation Mr--yarn principle· Cloudera Manager 4.1.2 Installation· Cloudera Hadoop 4.1.2 Installation· CM under the
Preface:The configuration of a Hadoop cluster is a fully distributed Hadoop configuration.the author's environment:Linux:centos 6.6 (Final) x64Jdk:java Version "1.7.0_75"OpenJDK Runtime Environment (rhel-2.5.4.0.el6_6-x86_64 u75-b13)OpenJDK 64-bit Server VM (build 24.75-b04, Mixed mode)SSH:OPENSSH_5.3P1, OpenSSL 1.0.1e-fips 2013hadoop:hadoop-1.2.1steps:Note: the
Deploy Hadoop cluster service in CentOSGuideHadoop is a Distributed System infrastructure developed by the Apache Foundation. Hadoop implements a Distributed File System (HDFS. HDFS features high fault tolerance and is designed to be deployed on low-cost hardware. It also provides high throughput to access application data, suitable for applications with large da
Hadoop-2.5.2 cluster installation configuration details, hadoop configuration file details
Reprinted please indicate the source: http://blog.csdn.net/tang9140/article/details/42869531
I recently learned how to install hadoop. The steps below are described in detailI. Environment
I installed it in Linux. For students w
ArticleDirectory
Insecure
Secure Mode
No downtime is required for adding or deleting machines in the hadoop cluster, and the entire service is not interrupted.
Before this operation, the hadoop cluster is as follows:
HDFS machines are as follows:
The MR machine is as follows:
Add Machine
Generally, one machine in the cluster is specified as namenode, and another machine is specified as jobtracker. These machines areMasters. The remaining Machines serve as datanodeAlsoAs tasktracker. These machines areSlaves
Official Address :(Http://hadoop.apache.org/common/docs/r0.19.2/cn/cluster_setup.html) 1 prerequisites
Make sure that all required software is installed on each node of your cluster
view the status.
PS:
Why is there no final content! During the operation, I accidentally ssh slave1, formatted the namenode in this case, and started it. It just collapsed !! In this case, there is actually a solution.
Delete all the four folders and recreate them. Alas, don't talk about it.
You may also like the following articles about Hadoop:
Tutorial on standalone/pseudo-distributed installation and c
the following content
Master
Slave1
After the preceding steps are completed, copy the hadoop-2.2.0 directory and content to the same path on the master machine as the hduser using the scp command:
Scp hadoop folder to various machines: scp/home/hduser/hadoop-2.2.0 slave1:/home/hduser/hadoop-2.2.0
7. Format hdfs (usual
machines are configured to each other key-free key (abbreviated)
Third, the Hadoop environment configuration:1. Select installation packageFor a more convenient and standardized deployment of the Hadoop cluster, we used the Cloudera integration package.Because Cloudera has done a lot of optimization on Hadoop-related
. exclude defines the file content as one line for each machine to be deprecated.
6.3 force reload Configuration
Command: hadoop dfsadmin-refreshNodes
6.4 close a node
Command: hadoop dfsadmin-report
You can view the nodes connected to the current cluster.
Executing Decommission will show:
Decommission Status: Decommission in progress
After the execution is compl
Javax.security.auth.Subject.doAs (subject.java:396)At Org.apache.hadoop.ipc.server$handler.run (server.java:953)Workaround: Add the following in the Hdfs-site.xml
1234
HDFs common commands to create folders
1
./hadoop Fs–mkdir/usr/local/hadoop/godlike
Uploading files
1
./hadoop
recommend that you install Cloudera Manager on a Hadoop cluster, which provides real-time statistics on CPU, hard disk, and network load. (Cloudera Manager is a component of Cloudera Standard Edition and Enterprise Edition. The Enterprise Edition also supports rolling upgrade.) After Cloudera Manager is installed, the Hadoop administrator can run MapReduce tasks
Hadoop environment on Ubuntu 13.04
Cluster configuration for Ubuntu 12.10 + Hadoop 1.2.1
Build a Hadoop environment on Ubuntu (standalone mode + pseudo Distribution Mode)
Configuration of Hadoop environment in Ubuntu
Detailed tutori
This article to operate the virtual machine is on the basis of pseudo-distributed configuration, the specific configuration of this article will not repeat, please refer to my blog: http://www.cnblogs.com/VeryGoodVeryGood/p/8507795.htmlThis article mainly refer to the Bowen--hadoop cluster installation configuration tutorial _hadoop2.6.0_ubuntu/centos, and "
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