free hadoop cluster

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

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

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

Deploy Hbase in the Hadoop cluster and enable kerberos System: LXC-CentOS6.3 x86_64 Hadoop version: cdh5.0.1 (manmual installation, cloudera-manager not installed) Existing Cluster Environment: node * 6; jdk1.7.0 _ 55; zookeeper and hdfs (HA) installed), yarn, historyserver, and httpfs, and kerberos is enabled (kdc is

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

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

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

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

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