hadoop vm

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

command is obsoleteA successful format will create a Dfs folder in/home/baisong/hadooptmp.7. Start HDFs, order as follows:$ sbin/start-dfs.shEncountered the following error: 14/10/29 16:49:01 WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... using Builtin-java classes where applicable St Arting namenodes on [OpenJDK Server VM warning:you have loaded LIBRARY/HOME/BAISON

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 650) this.width=650;

Install hadoop and centoshadoop in Centos 7.0 I. installation environmentHardware: Virtual MachineOperating System: Centos 7.0 64-bitIP: 192.168.120.150 Hadoop-2.7.0.tar.gz link: http://pan.baidu.com/s/1eRT0tk2 password: ymim Jdk-8u45-linux-x64.tar.gz link: http://pan.baidu.com/s/1eSaRUGa password: f4ue Ii. Install JDK1. Download jdk-8u45-linux-x64.tar.gz and decompress it to/usr/java/jdk1.8.0 _ 45.2. Add t

or a TT fails, it cannot notify you. In this case, we can use the Nagios alarm software, it can configure email alarms and short message alarms. By writing plugins, You can implement your own monitoring function. Our cluster is currently monitored as follows: Namenode and jobtracker memory Datanode and tasktracker running status NFS service status Disk usage Server Load Status Recommendation index:★★★ Recommended reason: ganglia can help you record the cluster status for troubleshooting.

~] # Su-hadoop[Hadoop @ master ~] $ Ssh-keygen-t rsa-p''[Hadoop @ master ~] $ Ssh-copy-id-I. ssh/id_rsa.pub hadoop@datanode.flyence.tk[Hadoop @ master ~] $ Ssh-copy-id-I. ssh/id_rsa.pub hadoop@snn.flyence.tk Ii. Install JDK Insta

Author: Fan Jun (Frank Fan) Sina Weibo: @frankfan7 How many vcpu does a virtual machine need? is the number more performance the better? There are many misunderstandings in this area. When allocating CPU resources to a VM, it is prudent to make the most possible use of existing resources to meet the needs of commercial applications. In some cases, setting an excessive number of vcpu for a VM can lead to a

Make sure that the three machines have the same user name and install the same directory *************SSH Non-key login simple introduction (before building a local pseudo-distributed, it is generated, now the three machines of the public key private key is the same, so the following is not configured)Stand-alone operation:Generate Key: Command ssh-keygen-t RSA then four carriage returnCopy the key to native: command Ssh-copy-id hadoop-senior.zuoyan.c

1, the main learning of Hadoop in the four framework: HDFs, MapReduce, Hive, HBase. These four frameworks are the most core of Hadoop, the most difficult to learn, but also the most widely used.2, familiar with the basic knowledge of Hadoop and the required knowledge such as Java Foundation,Linux Environment, Linux common commands 3. Some basic knowledge of Hadoo

Using HDFS to store small files is not economical, because each file is stored in a block, and the metadata of each block is stored in the namenode memory. Therefore, a large number of small files, it will eat a lot of namenode memory. (Note: A small file occupies one block, but the size of this block is not a set value. For example, each block is set to 128 MB, but a 1 MB file exists in a block, the actual size of datanode hard disk is 1 m, not 128 M. Therefore, the non-economic nature here ref

grouping (partition) The Hadoop streaming framework defaults to '/t ' as the key and the remainder as value, using '/t ' as the delimiter,If there is no '/t ' separator, the entire row is key; the key/tvalue pair is also used as the input for reduce in the map.-D stream.map.output.field.separator Specifies the split key separator, which defaults to/t-D stream.num.map.output.key.fields Select key Range-D map.output.key.field.separator Specifies the se

Tags: hadoop mysql map-reduce import export mysqlto facilitate the MapReduce direct access to the relational database (mysql,oracle), Hadoop offers two classes of Dbinputformat and Dboutputformat. Through the Dbinputformat class, the database table data is read into HDFs, and the result set generated by MapReduce is imported into the database table according to the Dboutputformat class. when running MapRe

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

in ~/.ssh/: Id_rsa and id_rsa.pub; These two pairs appear, similar to keys and locks.Append the id_rsa.pub to the authorization key (there is no Authorized_keys file at this moment)$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys(3) Verify that SSH is installed successfullyEnter SSH localhost. If the display of a native login succeeds, the installation is successful.3. Close the firewall $sudo UFW disableNote: This step is very important, if you do not close, there will be no problem finding D

As you know, Namenode has a single point of failure in the Hadoop system, which has been a weakness for high-availability Hadoop. This article discusses several solution that exist to solve this problem. 1. Secondary NameNode principle: secondary NN periodically reads the editlog from the NN, merging with the image that it stores to form a new metadata image advantage: The earlier version of

with error:" + t );Log. debug ("Java. Library. Path =" + system. getproperty ("Java. Library. Path "));} If (! Nativecodeloaded)Log. Warn ("unable to load native-hadoop library for your platform... using builtin-Java classes where applicable ");}It seems that an error occurred while loading the local database. 2. The following log files are generated in the $ hadoop_home directory:Hs_err_pid ***. LogThis exception log was opened and not quite underst

Hadoop Virtual Machine cluster configuration 1. Install CentOS6.0 and later in the VM (take Master. Hadoop as an example) A) set all user names to hadoop during installation B) Change the host name to Master. Hadoop, Slave1.Hadoop

This article refers to the source code is freebsd5.0release, reference 4.4BSD design and implementation related chapters, Matt Dillon's article. A description of the main data structures involved in the VM system 1. Vmspace This structure is used to describe the virtual address space of a process that contains the VM_MAP structure of platform-independent and the PMAP structure of platform dependencies, as well as some statistical measurements of th