hortonworks hadoop distribution

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Basic installation and configuration of sqoop under hadoop pseudo Distribution

sudoers. Pay attention to the access permission for the sudoers file. After the permission is changed, you need to change it back to root all = (all) add hadoop all = (all) All under all. I forgot to remind you that it is best to install centos in English, which may bring a lot of convenience, (You will know after trying), Su-hadoop. Then configure login without a password. Due to the pseudo

Hadoop Streaming Combat: File Distribution and packaging

If the executable file, script, or configuration file required for the program to run does not exist on the compute nodes of the Hadoop cluster, you first need to distribute the files to the cluster for a successful calculation. Hadoop provides a mechanism for automatically distributing files and compressing packages by simply configuring the appropriate parameters when you start the streaming job.1.–file D

Spark tutorial-Build a spark cluster-configure the hadoop pseudo distribution mode and run the wordcount example (1)

Step 4: configure the hadoop pseudo distribution mode and run the wordcount example The pseudo-distribution mode mainly involves the following configuration information: Modify the hadoop core configuration file core-site.xml, mainly to configure the HDFS address and port number; Modify the HDFS configuration file h

Hadoop-2.6.0 pseudo distribution run WordCount

Hadoop-2.6.0 pseudo distribution run WordCount Hadoop-2.6.0 pseudo distribution run WordCount 1. Start Hadoop: 2. Create a file folder: This is created on the local hard disk: View the created file: Go to the directory and create two txt files: The result is as follo

Hadoop installation Pseudo-distribution

Pseudo-Distributed Hadoop installation SummaryPrepare, in the configuration of the 9000 port for Hadoop, if there are other software using this port, it is recommended to replace the following configuration, to avoid errors. For example, PHP-FPM often uses port 9000.First, download the JDKDownload Linux 8u73-64 bit versionTar zxvf jdk-8u74-linux-x64.tar.gz-c/usr/local/Second, download HadoopTar zxvf

"Hadoop Distributed Deployment Five: distribution, basic testing and monitoring of distributed deployments"

cannot start yarn on the namenode, yarn should be started on the machine where the Resoucemanager is located.4. Test the MapReduce programFirst create a directory to hold the input data command: Bin/hdfs dfs-mkdir-p/user/beifeng/mapreduce/wordcount/input        Upload file to File system command: Bin/hdfs dfs-put/opt/modules/hadoop-2.5.0/wc.input/user/beifeng/mapreduce/wordcount/input         Use the command to see if the file uploaded successfully c

Ubuntu Install Hadoop (pseudo distribution mode)

runExecute the JPS command and you will see Hadoop-related processes such as:Browser opens http://localhost:50070/, you will see the HDFs administration pageBrowser opens http://localhost:8088, you will see the Hadoop Process Management pageSeven, WordCountValidationCreate input directory on DFSBin/hadoop fs-mkdir-p InputCopy the README.txt from the

Hadoop pseudo Distribution

CD/hoperun Ln-s hadoop-0.20.2 hadoop Ln-s jdk1.6.0 _ 21 JDK VI/hadoop/CONF/hadoop-env.sh Export java_home =/hoperun/JDK VI/hadoop/CONF/core-site.xml VI/hadoop/CONF/hdfs-site.xml VI/ha

[Nutch] Configuration of the Hadoop single-machine pseudo-distribution mode

;property > name>Mapred.system.dirname> value>/home/kandy/workspace/mapreduce/systemvalue>Property >property > name>Mapred.local.dirname> value>/home/kandy/workspace/mapreduce/localvalue>Property >As follows:3.4 Configuring the Hadoop-env.sh fileUse Vim to open the hadoop-env.sh file under the Conf directory:vim conf/hadoop-env.shIn the configuration Java_hom

Spark + Hadoop-2.2.0 Environment construction under pseudo-distribution environment

The last time I introduced the installation of Spark in Hadoop mode, we will introduce the build of the spark environment based on the Hadoop pseudo-distribution mode, where Hadoop is the hadoop-2.2.0 environment and the system is ubuntu-14.04 1. First make sure that Spark h

"Hadoop" streaming file distribution and packaging

If the executable file, script, or configuration file required for the program to run does not exist on the compute nodes of the Hadoop cluster, you first need to distribute the files to the cluster for a successful calculation. Hadoop provides a mechanism for automatically distributing files and compressing packages by simply configuring the appropriate parameters when you start the streaming job. The foll

Hadoop pseudo-distribution pattern building (top)

method, the characteristics of the Host-only connection:Virtual machine Access host, with the host of the VirtualBox host-only Network network card ip:192.168.56.1, regardless of the host "local connection" there is no red fork, always pass. host access to the virtual machine, with the virtual machine's network card 3 ip:192.168.56.101, regardless of the host "local connection" there is no red fork, always pass. virtual machine access to the Internet, with its own network card 2, then the host

Spark tutorial-Build a spark cluster-configure the hadoop pseudo distribution mode and run wordcount (2)

Copy an objectThe content of the copied "input" folder is as follows:The content of the "conf" file under the hadoop installation directory is the same.Now, run the wordcount program in the pseudo-distributed mode we just built:After the operation is complete, let's check the output result:Some statistical results are as follows:At this time, we will go to the hadoop Web console and find that we have submit

Hadoop 2.5 pseudo-distribution Installation

The latest hadoop2.5 installation directory has been modified to make installation easier. First install the preparation Tool $ sudo apt-get install ssh $ sudo apt-get install rsync Configure SSH $ ssh localhostIf you cannot ssh to localhost without a passphrase, execute the following commands: $ ssh-keygen -t dsa -P ‘‘ -f ~/.ssh/id_dsa $ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys Go to ETC/hadoop/h

Linux Server pseudo distribution mode installation hadoop-1.1.2

1: Environment Preparation1 Linux servers, Hadoop installation packages (Apache official website download) jdk1.6+2: Install the JDK, configure the environment variables (etc/profile), and java-version test the next step correctly. 3: Configure SSH password-free login CD ~ ssh-keygen-t RSA generate key, located in ~/.ssh directoryCp~/.ssh/id_rsa.pub ~/.ssh/authorized_keys theid_rsa.pub Public key file CP to Authorized_keys ssh localhost login testNote

Hadoop-2.6.0 Pseudo-Distribution--installation configuration HBase

Hadoop-2.6.0 Pseudo-distribution--installation configuration HBase 1. Hadoop and HBase used: 2. Install Hadoop: Specific installation look at this blog post: http://blog.csdn.net/baolibin528/article/details/42939477 HBase all versions Download http://archive.apache.org/dist/hbase/ 3. Decompression HBase: Results:

Hadoop Learning Notes (v)--Implementation of SSH password-free login in full distribution mode

nodes4) Check to see if SSH is installedSsh–version/ssh-v5) Client Creation secret keyssh-keygen-t RSA #用rsa算法产生秘钥cd. SSH #进入. SSH directoryLS #查看此目录下的文件: Id_rsa id_rsa.pubIn turn, on other clients.6) Write the master's public key to masterCP Id_rsa.pub Authorized_keysModify Permissions #root用户无需修改SSH Host name #登录验证7) write the slave public key to masterSLAVE1:SCP id_rsa.pub [email protected]:/home/hadoop/id_rsa_01.pubSlave2:scpid_rsa.pub[email prot

Spark tutorial-Build a spark cluster-configure the hadoop pseudo distribution mode and run wordcount (2)

Copy an object The content of the copied "input" folder is as follows: The content of the "conf" file under the hadoop installation directory is the same. Now, run the wordcount program in the pseudo-distributed mode we just built: After the operation is complete, let's check the output result: Some statistical results are as follows: At this time, we will go to the hadoop Web

Hadoop pseudo Distribution Mode configuration

The Hadoop pseudo distribution mode is configured as follows: Go to/home/tom/hadoop/conf, configure the Hadoop configuration file Configuring hadoop-env.sh Files Export java_home=/home/tom/jdk1.7.0_05Export path= $PATH:/home/tom/hadoop

Hadoop-2.7.1 Pseudo-Distribution--installation configuration HBase 1.1.2

Hbase-1.1.2:http://www.eu.apache.org/dist/hbase/stable/hbase-1.1.2-bin.tar.gzUnzip to the \usr\local directory after downloadOpen the terminal into \usr\local\hbase-1.1.2:CD \usr\local\hbase-1.1. 2 modifying variablesVim conf/hbase-env.shAdd the following settings# Export JAVA_HOME=/USR/JAVA/JDK1. 6.0/export java_home=/usr/local/jdk1. 8 . 0_65# Extra Java CLASSPATH elements. optional.# export Hbase_classpath=export Hbase_classpath=/usr/local/hadoop

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