hadoop cluster setup

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Centos 6.5 redis cluster cluster setup

Centos 6.5 redis cluster cluster setup Reference article: Redis learning Note (14) Redis cluster Introduction and construction Preface There are two ways to create a Redis cluster in general: 1. Use the Redis replication feature to replicate Redis and read and write separat

Hadoop Cluster Integrated Kerberos

Last week, the team led the research to Kerberos, to be used in our large cluster, and the research task was assigned to me. This week's words were probably done with a test cluster. So far the research is still relatively rough, many online data are CDH clusters, and our cluster is not used CDH, so in the process of integrating Kerberos there are some difference

ubuntu16.04 Building a Hadoop cluster environment

protected]:~$ ssh slave2Output:[Email protected]:~$ ssh slave1Welcome to Ubuntu 16.04.1 LTS (gnu/linux 4.4.0-31-generic x86_64)* documentation:https://help.ubuntu.com* management:https://landscape.canonical.com* Support:https://ubuntu.com/advantageLast Login:mon-03:30:36 from 192.168.19.1[Email protected]:~$2.3 Hadoop 2.7 Cluster deployment1, on the master machine, in the

Hadoop-eclipse Development environment Setup and error:failure to login error.

completes the modification of the Hadoop-eclipse-plugin-0.20.203.0.jar. Finally, copy the Hadoop-eclipse-plugin-0.20.203.0.jar to the plugins directory of Eclipse: $ CD ~/hadoop-0.20.203.0/lib $ sudo cp hadoop-eclipse-plugin-0.20.203.0.jar/usr/eclipse/plugins/ 5. Configure the plug-in in Eclipse. First, open Eclipse

Cluster Server optimization (Hadoop)

system. In practical application scenarios, the Administrator optimizes Linux kernel parameters to improve the job running efficiency. The following are some useful adjustment options.(1) Increase the file descriptor and network connection limit opened at the same time.In a Hadoop cluster, due to the large number of jobs and tasks involved, the operating system kernel limits the number of file descriptors

Trouble analysis and automatic repair of Hadoop cluster hard disk

Zhang, HaohaoSummary:Hard drives play a vital role in the server because the data is stored in the hard disk, and as the manufacturing technology improves, the type of the hard disk is changing gradually. The management of the hard disk is the responsibility of the IaaS department, but it also needs to know the relevant technology as a business operation.Some companies use LVM to manage the hard drive, this is easy to expand the capacity, but also some companies directly with bare disk to save d

Hadoop environment setup (Linux + Eclipse Development) problem summary-pseudo Distribution Mode

I recently tried to build the environment for Hadoop, but I really don't know how to build it. The next hop was a step-by-step error. Answers from many people on the Internet are also common pitfalls (for example, the most typical is the case sensitivity of commands, for example, hadoop commands are in lower case, and many people write Hadoop, so when you encount

The Linux server builds Hadoop cluster environment Redhat5/ubuntu 12.04

Setting up Hadoop cluster environment steps under Ubuntu 12.04I. Preparation before setting up the environment:My native Ubuntu 12.04 32bit as Maser, is the same machine that was used in the stand-alone version of the Hadoop environment, http://www.linuxidc.com/Linux/2013-01/78112.htmAlso in the KVM Virtual 4 machines, respectively named:Son-1 (Ubuntu 12.04 32bit

Hadoop cluster Building (2)

Purpose This article describes how to install, configure, and manage a meaningful hadoop cluster that can scale from a small cluster of several nodes to a large cluster of thousands of nodes. If you want to install Hadoop on a single machine, you can find the details here.

Redis cluster cluster setup steps and Considerations

| grep redis view run statussudo netstat-tunpl | grep 6379 to see if the port number is occupiedsudo/etc/init.d/networking Restart the command to restart the NIC--Configure the networkModify the local network: Virtual machine settings Network complete OK, start the virtual machine, open Network and Sharing Center-local connection-Properties-Internet Protocol IPV4,Configure the virtual machine IP address (as shown in 4.4-3, typically the same as the host network segment) according to the local n

Hadoop 2.5.1 Cluster installation configuration

. starting HDFS5.5.1. formatting NameNode# HDFs Namenode-format5.5.1. starting HDFS. /opt/hadoop/hadoop-2.5.1/sbin/start-dfs.sh5.5.1. starting YARN. /opt/hadoop/hadoop-2.5.1/sbin/start-yarn.shSet the logger level to see the specific reasonExport Hadoop_root_logger=debug,consoleWindows->show view->other-> MapReduce tool

Installing a single-node pseudo-distributed CDH Hadoop cluster

* /public void init (jobconf conf) throws IOException { setconf (conf); cluster = new cluster (conf); Clientugi = Usergroupinformation.getcurrentuser (); } This is still the jobclient of the MR1 era, in/usr/lib/hadoop-mapreduce/hadoop-mapreduce-client-core-2.0.0-cdh4.5.0.jar And/usr/lib/

Distributed Cluster Environment hadoop, hbase, and zookeeper (full)

1. Environment Description: The cluster environment requires at least three nodes (that is, three server devices): one Master and two Slave nodes. The nodes can be pinged to each other through the LAN, the following example shows how to configure the IP Address Allocation of a node: HostnameIP: create a user, and create a user password, master10.10.20.hadoop123456slave110.10.10.214. 1. Environment Description: The

Eclipse commits a MapReduce task to a Hadoop cluster remotely

First, IntroductionAfter writing the MapReduce task, it was always packaged and uploaded to the Hadoop cluster, then started the task through the shell command, then looked at the log log file on each node, and later to improve the development efficiency, You need to find a direct maprreduce task directly to the Hadoop cluste

Construction of pseudo-distributed cluster environment for Hadoop 2.2.0

configured for yarn13, modify the Etc/hadoop/yarn-site.xml configuration file, add the following information.VI Yarn-site.xmlin order to be able to run MapReduce program, we need to get . Nodemanger Load at startup Shuffle . So the following settings are required14, modify the Etc/hadoop/slaves, add the following information. That is, slaves fileVI Slavesis now a pseudo-distributed single-node

Hadoop-2.6 cluster Installation

Hadoop-2.6 cluster Installation Basic Environment Sshd Configuration Directory:/root/. ssh The configuration involves four shells. 1.Operation per machine Ssh-keygen-t rsa Generate an ssh key. The generated file is as follows: Id_rsa Id_rsa.pub . Pub is the public key, and No. pub is the private key. 2.Operation per machine Cp id_rsa.pub authorized_keys Authorized_keys Error 3.Copy and distrib

The construction of Hadoop cluster environment under Linux

the/home/jiaan.gja directory and configure the Java environment variable with the following command:CD ~vim. Bash_profileAdd the following to the. Bash_profile:Immediately let the Java environment variable take effect, execute the following command:source. bash_profileFinally verify that the Java installation is properly configured:Host because I built a Hadoop cluster containing three machines, I need to

Spark Cluster Setup

Spark Cluster Setup 1 Spark Compilation 1.1 Download Source code git clone git://github.com/apache/spark.git-b branch-1.6 1.2 Modifying the pom file Add cdh5.0.2 related profiles as follows: 1.3 Compiling Build/mvn-pyarn-pcdh5.0.2-phive-phive-thriftserver-pnative-dskiptests Package The above command, due to foreign maven.twttr.com by the wall, added hosts,199.16.156.89 maven.twttr.com, executed a

Hadoop cluster (CDH4) Practice (3) Hive Construction

Directory structure: Hadoop cluster (CDH4) practices (0) preface Hadoop cluster (CDH4) Practices (1) Hadoop (HDFS) Build Hadoop cluster (CDH4) practices (2) build

Install and configure Sqoop for MySQL in the Hadoop cluster environment,

Install and configure Sqoop for MySQL in the Hadoop cluster environment, Sqoop is a tool used to transfer data from Hadoop to relational databases. It can import data from a relational database (such as MySQL, Oracle, and S) into Hadoop HDFS, you can also import HDFS data to a relational database. One of the highlights

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