hadoop cluster setup

Assume that the cluster is already configured.On the development client Linux CentOS 6.5:A. The client CentOS has an access user with the same name as the cluster: Huser.B.vim/etc/hosts joins the Namenode and joins the native IP.-------------------------1. Install Hadoop cluster with the same version of JDK,

For maven projects, the default integration test is performed as a phase of the build cycle, which is convenient for general projects to perform integration testing, but for Hadoop (or HBase) projects are not suitable because their applications run in the Cluster Environment and the development environment may be windows rather than linux, these reasons make it inconvenient to use the mvn command in the loc

Hadoop cluster hardware standard configuration When selecting hardware, we often need to consider the performance and expenditure of applications. To this end, we must find a perfect balance between meeting actual needs and being economically feasible. The following uses the Hadoop cluster application as an example to

region:#hbase> major_compact ‘r1‘, ‘c1‘#Compact a single column family within a table:#hbase> major_compact ‘t1‘, ‘c1‘ Configuration Management and node restart1) Modify the HDFs configurationHDFs Configuration Location:/etc/hadoop/conf # 同步hdfs配置cat /home/hadoop/slaves|xargs -i -t scp /etc/hadoop/conf/hdfs-site.x

name Node,task tracker know Job tracker. So modify the Conf/core-site.xml on Hadoopdatanode1 and Hadoopdatanode2, respectively: and Conf/mapred-site.xml: Format name Node :Execute on Hadoopnamenode: Hadoop Namenode-format start Hadoop :First, execute the following command on Hadoopnamenode to start all name node,

The environment for this configuration is the Hadoop1.2.1 version, and Hadoop introduced the Hadoop2.0 version in 13, which was modified on the basis of the Hadoop1.0 release to improve the efficiency of Hadoop cluster task scheduling, resource allocation, and fault handling.Hadoop2.0 on the basis of Hadoop1.0, the first to make a change to HDFs, in Hadoop1.0, HD

HDFs Add Delete nodes and perform HDFs balance Mode 1: Static add Datanode, stop Namenode mode 1. Stop Namenode 2. Modify the slaves file and update to each node 3. Start Namenode 4. Execute the Hadoop balance command. (This is used for the balance cluster and is not required if you are just adding a node) ----------------------------------------- Mode 2: Dynamically add Datanode, keep Namenode way

For example, if the ip address of the newly added node is 192.168.1.xxx, add the hosts of 192.168.1.xxxdatanode-xxx to all nn and dn nodes, create useraddhadoop-sbinbash-m on xxx, and add the ip address of another dn. all files in ssh are copied to homehadoop on xxx. install jdkapt-getinstallsun-java6-j in ssh path For example, if the ip address of the newly added node is 192.168.1.xxx, add the hosts of 192.168.1.xxx datanode-xxx to all nn and dn nodes, create useradd

Introduction to spark Basics, cluster build and Spark ShellThe main use of spark-based PPT, coupled with practical hands-on to enhance the concept of understanding and practice.Spark Installation DeploymentThe theory is almost there, and then the actual hands-on experiment:Exercise 1 using Spark Shell (native mode) to complete wordcountSpark-shell to Spark-shell native modeFirst step: Import data by file modescala> val rdd1 = Sc.textfile ("File:///tmp

Processesstart-all.shFinal Result:Custom Script Xsync (distributing files in the cluster)[/usr/local/bin]The file is recycled to the same directory as all nodes.[Usr/local/bin/xsync]#!/bin/bashpcount=$ #if ((pcountTestXsync Hello.txtCustom Script Xcall (executes the same command on all hosts)[Usr/local/bin]#!/bin/bashpcount=$ #if ((pcountTest Xcall RM–RF Hello.txtAfter the cluster is built, test run the fo

performance will be better. This is why the previous article proposed configuration, the X 1TB disk than the X 3TB disk for a better reason. The space constraints inside the blade server tend to constrain the possibility of adding more hard drives. From here, we are better able to see why Hadoop is so-called running on a standalone commercial server, and its deliberately Share architecture of nothing. Task Independent, Io Independent for

use the source command to make the configuration work after configuration is complete.Modifying the path in/etc/environmentEnter the Conf directory for Spark:The first step is to modify the slaves file to open the file first:We have modified the contents of the slaves file to:Step Two: Configure spark-env.shFirst copy the spark-env.sh.template to the spark-env.sh:Open the "spark-env.sh" fileAdd the following to the end of the fileSlave1 and slave2 Use the same spark installation configuration a

physically stored:You can see that the null value is not stored, so "contents:html" with a query timestamp of T8 will return NULL, the same query timestamp is T9, and the "anchor:my.lock.ca" item also returns NULL. If no timestamp is specified, the most recent data for the specified column should be returned, and the newest values are first found in the table because they are sorted by time. Therefore, if you query "contents" without specifying a timestamp, you will return the T6 data, which ha

During online hadoop cluster O M, hadoop's balance tool is usually used to balance the distribution of file blocks in each datanode in the hadoop cluster, to avoid the high usage of some datanode disks (this problem may also lead to higher CPU usage of the node than other servers ). 1) usage of the

MastersHost616) Configuration Slaveshost62Host635. Configure host62 and host63 in the same way6. Format the Distributed File system/usr/local/hadoop/bin/hadoop-namenode format7. Running Hadoop1)/usr/local/hadoop/sbin/start-dfs.sh2)/usr/local/hadoop/sbin/start-yarn.sh8. Check:[Email protected] sbin]# JPS4532 ResourceMa

GB in this iteration... Solution:1. Increase the available bandwidth of the Balancer.We think about whether the Balancer's default bandwidth is too small, so the efficiency is low. So we try to increase the Balancer's bandwidth to 500 M/s: hadoop dfsadmin -setBalancerBandwidth 524288000 However, the problem has not been significantly improved. 2. Forcibly Decommission the nodeWe found that when Decommission is performed on some nodes, although the da

Setup function source code: (Excerpt from "Hadoop Combat")*called once at the start of the task.protected void Setup (context context) throws ioexception,interruptedexception{}As you can tell from the comments, the setup function is called when the task starts.Jobs in MapReduce are organized into Maptask and Reducetask

Operation of the Java interface on the Hadoop cluster Start with a configured Hadoop cluster This is what I implemented in the test class of the project that I built in the SSM framework. One, under Windows configuration environment variable download file and unzip to C drive or other directory.Link:

Hadoop enterprise cluster architecture-NFS Installation Hadoop enterprise cluster architecture-NFS Installation Server address: 192.168.1.230 Install NFS Software Check whether nfs installation is complete Rpm-qa | grep nfs Check the rpcbind and nfs services Systemctl list-unit-files | grep "nfs" Systemctl list-unit

Hadoop cluster all datanode start unfavorable (solution), hadoopdatanode Datanode cannot be started only in the following situations. 1. First, modify the configuration file of the master, 2. Bad habits of hadoop namenode-format for multiple times. Generally, an error occurs: Java. io. IOException: Cannot lock storage/usr/had