SlideShare una empresa de Scribd logo
1 de 15
∞
Shashwat Shriparv
Configure Hadoop/HBase/ and Hbase-Client
   Configure Hadoop:


   Prerequisites:
        Check your IP setup
                If you’re on Ubuntu check your hosts file. If you see something like:
                127.0.0.1 localhost
                127.0.1.1 <server fqn> <server name, as in /etc/hostname>


                get rid of the second line, and change to


                127.0.0.1 localhost
                <server ip> <server fqn> <server name, as in /etc/hostname>


                e.g.
                127.0.0.1 localhost
                23.201.99.100 shashwat


                If you don’t do this, the region servers will resolve their addresses to
                127.0.1.1. This information will be stored inside the ZooKeeper
                instance that HBase runs (the directory and lock manager used by
                the system to configure and synchronize a running HBase cluster).
                When manipulating remote HBase data, client code libraries actually
                connect to ZooKeeper to find the address of the region server
                maintaining the data. In this case, they will be given 127.0.1.1 which
                resolves to the client machine.

   Sun Java 6
        1. Add the Canonical Partner Repository to your apt repositories:
        $ sudo add-apt-repository "deb http://archive.canonical.com/ lucid partner"
2. Update the source list
     $ sudo apt-get update

     3. Install sun-java6-jdk
     $ sudo apt-get install sun-java6-jdk

     4. Select Sun’s Java as the default on your machine.
     $ sudo update-java-alternatives -s java-6-sun




     If you installing it on Ubuntu 12.04 then follow this :

     sudo add-apt-repository ppa:webupd8team/java
     sudo apt-get update
     sudo apt-get install oracle-java7-installer



Adding a dedicated Hadoop system user

     We will use a dedicated Hadoop user account for running Hadoop. While
     that’s not required it is recommended because it helps to separate the
     Hadoop installation from other software applications and user accounts
     running on the same machine (think: security, permissions, backups, etc).
     $ sudo addgroup hadoop
     $ sudo adduser --ingroup hadoop hduser


     This will add the user hduser and the group hadoop to your local machine.


Configuring SSH
1. su - hduser
2. ssh-keygen -t rsa -P ""
3. cat $HOME/.ssh/id_rsa.pub >>$HOME/.ssh/authorized_keys
ssh shashwat //If you able to connect to shashwat successfully without //giving password then ssh is
successfully configured, else //delete the .ssh folder in user's home folder and try again to configure ssh


If the SSH connect should fail, these general tips might help:
   Enable debugging with ssh -vvv shashwat and investigate the error in detail.
   Check the SSH server configuration in /etc/ssh/sshd_config, in particular the
   optionsPubkeyAuthentication (which should be set to yes) andAllowUsers(if
   this option is active, add thehduser user to it). If you made any changes to the
   SSH server configuration file, you can force a configuration reload with sudo
   /etc/init.d/ssh reload.


Disabling IPv6
        One problem with IPv6 on Ubuntu is that using 0.0.0.0 for the various
        networking-related Hadoop configuration options will result in Hadoop
        binding to the IPv6 addresses of my Ubuntu box.
        In my case, I realized that there’s no practical point in enabling IPv6 on a
        box when you are not connected to any IPv6 network. Hence, I simply
        disabled IPv6 on my Ubuntu machine. Your mileage may vary.
        To disable IPv6 on Ubuntu 10.04 LTS, open /etc/sysctl.conf in the editor of
        your choice and add the following lines to the end of the file:
        #disable ipv6


        net.ipv6.conf.all.disable_ipv6 = 1


        net.ipv6.conf.default.disable_ipv6 = 1


        net.ipv6.conf.lo.disable_ipv6 = 1

        You have to reboot your machine in order to make the changes take effect.
        You can check whether IPv6 is enabled on your machine with the following
        command:
        $ cat /proc/sys/net/ipv6/conf/all/disable_ipv6

        A return value of 0 means IPv6 is enabled, a value of 1 means disabled
        (that’s what we want).
Alternative
     You can also disable IPv6 only for Hadoop as documented in
     HADOOP-3437. You can do so by adding the following line to conf/hadoop-
     env.sh:
     export HADOOP_OPTS=-Djava.net.preferIPv4Stack=true



Hadoop

Installation
     You have to download Hadoop from the Apache Download Mirrors and
     extract the contents of the Hadoop package to a location of your choice. I
     picked /usr/local/hadoop. Make sure to change the owner of all the files to
     the hduser user and hadoop group, for example:
            $ cd /usr/local
            $ sudo tar xzf hadoop-0.20.2.tar.gz


            $ sudo mv hadoop-0.20.2 hadoop


            $ sudo chown -R hduser:hadoop hadoop



Hadoop-Configuration

     hadoop-env.sh
     The only required environment variable we have to configure for Hadoop
     in this tutorial is JAVA_HOME. Open/conf/hadoop-env.sh in the editor of
     your choice (if you used the installation path in this tutorial, the full path
     is/usr/local/hadoop/conf/hadoop-env.sh) and set the JAVA_HOME
     environment variable to the Sun JDK/JRE 6 directory.


     Change
            # The java implementation to use. Required.


            # export JAVA_HOME=/usr/lib/j2sdk1.5-sun
to
      # The java implementation to use. Required.


      export JAVA_HOME=/usr/lib/jvm/java-6-sun




Add the following snippets between the <configuration> </configuration>
tags in the respective configuration XML file.


In file conf/core-site.xml:
<!-- In: conf/core-site.xml -->
       <property>
       <name>hadoop.tmp.dir</name>
       <value>/app/hadoop/tmp</value>
       <description>A base for other temporary directories.</description>
       </property>

      <property>
      <name>fs.default.name</name>
      <value>hdfs://shashwat:54310</value>
      <description>The name of the default file system. A URI whose
      scheme and authority determine the FileSystem implementation.
      The
      uri's scheme determines the config property (fs.SCHEME.impl)
      naming
      the FileSystem implementation class. The uri's authority is used to
      determine the host, port, etc. for a filesystem.</description>
      </property>

In file conf/mapred-site.xml:
      <!-- In: conf/mapred-site.xml -->
      <property>
      <name>mapred.job.tracker</name>
<value>shashwat:54311</value>
              <description>The host and port that the MapReduce job tracker runs
              at. If "local", then jobs are run in-process as a single map
              and reduce task.
              </description>
              </property>
In file conf/hdfs-site.xml:
              <!-- In: conf/hdfs-site.xml -->
              <property>
              <name>dfs.replication</name>
              <value>1</value>
              <description>Default block replication.
              The actual number of replications can be specified when the file is
              created.
              The default is used if replication is not specified in create time.
              </description>
              </property>

Formatting the HDFS filesystem via the NameNode
      hduser@ubuntu:~$ /usr/local/hadoop/bin/hadoop namenode -format


Starting your single-node cluster
      hduser@ubuntu:~$ /usr/local/hadoop/bin/start-all.sh

A nifty tool for checking whether the expected Hadoop processes are running is
jps
if you can see the following:
TaskTracker
JobTracker
DataNode
SecondaryNameNode
Jps
NameNode
then you can be sure that hadoop is configured correctly and running.



Making sure Hadoop is working
      You can see the Hadoop logs in ~/work/hadoop/logs
      You should be able to see the Hadoop Namenode web interface at
      http://shashwat:50070/ and the JobTracker Web Interface at
      http://shashwat:50030/. If not, check that you have 5 java processes running where
      each of those java processes have one of the following as their last command line (as
      seen from a ps ax | grep hadoop command) :
      org.apache.hadoop.mapred.JobTracker
      org.apache.hadoop.hdfs.server.namenode.NameNode
      org.apache.hadoop.mapred.TaskTracker
      org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode
      org.apache.hadoop.hdfs.server.datanode.DataNode

      If you do not see these 5 processes, check the logs in ~work/hadoop/logs/*.{out,log}
      for messages that might give you a hint as to what went wrong.

      Run some example map/reduce jobs
      The Hadoop distro comes with some example / test map / reduce jobs. Here we’ll run
      them and make sure things are working end to end.
      cd ~/work/hadoop
      # Copy the input files into the distributed filesystem
      # (there will be no output visible from the command):
      bin/hadoop fs -put conf input
      # Run some of the examples provided:
      # (there will be a large amount of INFO statements as output)
      bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+'
      # Examine the output files:
      bin/hadoop fs -cat output/part-00000

      The resulting output should be something like:
      3    dfs.class
      2    dfs.period
      1    dfs.file
      1    dfs.replication
1   dfs.servers
          1   dfsadmin
          1   dfsmetrics.log

Configure Hbase :

                The following config files all reside in ~/work/hbase/conf. As mentioned earlier,
                use a FQDN or a Bonjour name instead of shashwat if you need remote clients
                to access HBase. But if you don’t use shashwat here, make sure you do the same
                in the Hadoop config.

                hbase-env.sh
                Add the following line below the commented out JAVA_HOME line is in hbase-
                env.sh
                export JAVA_HOME=/System/Library/Frameworks/JavaVM.framework/Versions/
                CurrentJDK/Home

                Add the following line below the commented out HBASE_CLASSPATH= line
                export HBASE_CLASSPATH=${HOME}/work/hadoop/conf


                hbase-site.xml
                <?xml version="1.0"?>
                <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
                <?xml version="1.0"?><?xml-stylesheet type="text/xsl" href="configuration.xsl"?
                >
                <configuration>
                <property>
                <name>hbase.rootdir</name>
                <value>hdfs://shashwat:9000/hbase</value>
                <description>The directory shared by region servers.
                </description>
                </property>
                </configuration>


                Making Sure HBase is Working
                If you do a ps ax | grep hbase you should see two java processes. One should
                end with:
                org.apache.hadoop.hbase.zookeeper.HQuorumPeer start
                And the other should end with:
                org.apache.hadoop.hbase.master.HMaster start
Since we are running in the Pseudo-Distributed mode, there will not be any
          explicit regionservers running. If you have problems, check the logs in
          ~/work/hbase/logs/*.{out,log}

          Testing HBase using the HBase Shell
          From the unix prompt give the following command:
          ~/work/hbase/bin/hbase shell

          Here is some example commands from the Apache HBase Installation
          Instructions:
          base> # Type "help" to see shell help screen
          hbase> help
          hbase> # To create a table named "mylittletable" with a column family of
          "mylittlecolumnfamily", type
          hbase> create "mylittletable", "mylittlecolumnfamily"
          hbase> # To see the schema for you just created "mylittletable" table and its
          single "mylittlecolumnfamily", type
          hbase> describe "mylittletable"
          hbase> # To add a row whose id is "myrow", to the column
          "mylittlecolumnfamily:x" with a value of 'v', do
          hbase> put "mylittletable", "myrow", "mylittlecolumnfamily:x", "v"
          hbase> # To get the cell just added, do
          hbase> get "mylittletable", "myrow"
          hbase> # To scan you new table, do
          hbase> scan "mylittletable"

          You can stop hbase with the command:
          ~/work/hbase/bin/stop-hbase.sh

          Once that has stopped you can stop hadoop:
          ~/work/hadoop/bin/stop-all.sh




Setting Hbase Client (Accessing Hbase Remotely):


Add following to hbase-site.xml
<property>
<name>hbase.rootdir</name>
<value>hdfs://<domain address>:9000/hbase</value>
</property>
<property>
<name>hbase.master</name>
<value>shashwat:60000</value>
<description>The host and port that the HBase master runs at.</
description>
</property>
<property>
<name>hbase.regionserver.port</name>
<value>60020</value>
<description>The host and port that the HBase master runs at.</
description>
</property>
<!--<property>
<name>hbase.master.port</name>
<value>60000</value>
<description>The host and port that the HBase master runs at.</
description>
</property>-->
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>/home/shashwat/Hadoop/hbase-0.90.4/temp</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>shashwat</value>
</property>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
<description>Property from ZooKeeper's config zoo.cfg.
The port at which the clients will connect.
</description>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/home/<user>/zookeeper</value>
<description>Property from ZooKeeper's config zoo.cfg.
The directory where the snapshot is stored.
</description>
</property>
After adding the above text to hbase-site.xml, start hbase and check if the
HMaster is running using -jps- command on the shell.


After this the ip address and dommain name of the hbase master should be
added to the client machines which are interested in connected to hbase
remotely.


Suppose hbase.master is running on 192.168.2.125 and the domain name is
shashwat


Windows -: My computer-> c:-> windows->system32->drivers->etc->hosts
Linux -: /etc/hosts


Open the file with admin permission and add the line
192.168.2.125        shashwat //the server where the
                     //hbase.master is running



save this file and exit.



Building the hbae client :
code for accessing the hmaster using client. Following is the client code.


      import java.io.IOException;
      import org.apache.hadoop.hbase.HBaseConfiguration;
      import org.apache.hadoop.hbase.MasterNotRunningException;
      import org.apache.hadoop.hbase.ZooKeeperConnectionException;
      import org.apache.hadoop.hbase.client.HBaseAdmin;
      import org.apache.hadoop.hbase.client.HTable;
      import org.apache.hadoop.conf.Configuration;
      import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.util.Bytes;


public class HbaseClient {


/**
* @param args the command line arguments
*/
public static void main(String[] args) throws MasterNotRunningException,
ZooKeeperConnectionException, IOException {
// TODO code application logic here


System.out.println("Hbase Demo Application ");


// CONFIGURATION
// ENSURE RUNNING
Configuration conf = HBaseConfiguration.create();
conf.clear();
conf.set("hbase.zookeeper.quorum", "shashwat");
conf.set("hbase.zookeeper.property.clientPort", "2181");
conf.set("hbase.master", "shashwat:60000");
HBaseAdmin.checkHBaseAvailable(conf);




System.out.println("HBase is running!");
HTable table = new HTable(conf, "date");
System.out.println("Table obtained");


System.out.println("Fetching data now.....");


Get g = new Get(Bytes.toBytes("-101"));
Result r = table.get(g);
byte[] value = r.getValue(Bytes.toBytes("cf"), Bytes.toBytes("cf1"));
// If we convert the value bytes, we should get back 'Some Value', the
// value we inserted at this location.
String valueStr = Bytes.toString(value);
        System.out.println("GET: " + valueStr);
        }
        }
 Some references :

                http://wiki.apache.org/hadoop/
                http://wiki.apache.org/hadoop/Hbase/FAQ
                http://blog.ibd.com/howto/hbase-hadoop-on-mac-ox-x/
                http://ria101.wordpress.com/2010/01/28/setup-hbase-in-pseudo-
                distributed-mode-and-connect-java-client/
                http://hadoop.apache.org/common/docs/r0.20.2/quickstart.html#P
                seudoDistributed
                http://www.michael-noll.com/blog/2011/04/09/benchmarking-and-
                stress-testing-an-hadoop-cluster-with-terasort-testdfsio-nnbench-
                mrbench/
                http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-
                linux-multi-node-cluster/
                http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-
                linux-single-node-cluster/
                http://hbase.apache.org/book.html




                                        Note :
If you find any mistake in this document, feel free to drop me a mail @
                     Gmail : dwivedishashwat@gmail.com
              Facebook : https://www.facebook.com/shriparv
               Twitter : https://twitter.com/#!/shashwat_2010
                                Skype : shriparv
                             Visit My blogs at :
                         http://helpmetocode.blogspot.in/
                         http://writingishabit.blogspot.in/
                              http://realiq.blogspot.in/

Más contenido relacionado

La actualidad más candente

Hive 3 a new horizon
Hive 3  a new horizonHive 3  a new horizon
Hive 3 a new horizonArtem Ervits
 
The linux networking architecture
The linux networking architectureThe linux networking architecture
The linux networking architecturehugo lu
 
COSCUP 2020 RISC-V 32 bit linux highmem porting
COSCUP 2020 RISC-V 32 bit linux highmem portingCOSCUP 2020 RISC-V 32 bit linux highmem porting
COSCUP 2020 RISC-V 32 bit linux highmem portingEric Lin
 
Staring into the eBPF Abyss
Staring into the eBPF AbyssStaring into the eBPF Abyss
Staring into the eBPF AbyssSasha Goldshtein
 
Linux Memory Management
Linux Memory ManagementLinux Memory Management
Linux Memory ManagementNi Zo-Ma
 
JVM Mechanics: Understanding the JIT's Tricks
JVM Mechanics: Understanding the JIT's TricksJVM Mechanics: Understanding the JIT's Tricks
JVM Mechanics: Understanding the JIT's TricksDoug Hawkins
 
Browsing Linux Kernel Source
Browsing Linux Kernel SourceBrowsing Linux Kernel Source
Browsing Linux Kernel SourceMotaz Saad
 
Proxmox Clustering with CEPH
Proxmox Clustering with CEPHProxmox Clustering with CEPH
Proxmox Clustering with CEPHFahadIbrar5
 
Keeping Latency Low for User-Defined Functions with WebAssembly
Keeping Latency Low for User-Defined Functions with WebAssemblyKeeping Latency Low for User-Defined Functions with WebAssembly
Keeping Latency Low for User-Defined Functions with WebAssemblyScyllaDB
 
Apache Ignite vs Alluxio: Memory Speed Big Data Analytics
Apache Ignite vs Alluxio: Memory Speed Big Data AnalyticsApache Ignite vs Alluxio: Memory Speed Big Data Analytics
Apache Ignite vs Alluxio: Memory Speed Big Data AnalyticsDataWorks Summit
 
Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...
Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...
Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...Anne Nicolas
 
Introduction to Apache Sqoop
Introduction to Apache SqoopIntroduction to Apache Sqoop
Introduction to Apache SqoopAvkash Chauhan
 
DPDK in Containers Hands-on Lab
DPDK in Containers Hands-on LabDPDK in Containers Hands-on Lab
DPDK in Containers Hands-on LabMichelle Holley
 
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...Adrian Huang
 
用Raspberry Pi 學Linux I2C Driver
用Raspberry Pi 學Linux I2C Driver用Raspberry Pi 學Linux I2C Driver
用Raspberry Pi 學Linux I2C Driver艾鍗科技
 
Apache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim ChenApache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim ChenDatabricks
 

La actualidad más candente (20)

Hive 3 a new horizon
Hive 3  a new horizonHive 3  a new horizon
Hive 3 a new horizon
 
The linux networking architecture
The linux networking architectureThe linux networking architecture
The linux networking architecture
 
COSCUP 2020 RISC-V 32 bit linux highmem porting
COSCUP 2020 RISC-V 32 bit linux highmem portingCOSCUP 2020 RISC-V 32 bit linux highmem porting
COSCUP 2020 RISC-V 32 bit linux highmem porting
 
Staring into the eBPF Abyss
Staring into the eBPF AbyssStaring into the eBPF Abyss
Staring into the eBPF Abyss
 
Linux Memory Management
Linux Memory ManagementLinux Memory Management
Linux Memory Management
 
JVM Mechanics: Understanding the JIT's Tricks
JVM Mechanics: Understanding the JIT's TricksJVM Mechanics: Understanding the JIT's Tricks
JVM Mechanics: Understanding the JIT's Tricks
 
Introduction à Hadoop
Introduction à HadoopIntroduction à Hadoop
Introduction à Hadoop
 
Browsing Linux Kernel Source
Browsing Linux Kernel SourceBrowsing Linux Kernel Source
Browsing Linux Kernel Source
 
Proxmox Clustering with CEPH
Proxmox Clustering with CEPHProxmox Clustering with CEPH
Proxmox Clustering with CEPH
 
Keeping Latency Low for User-Defined Functions with WebAssembly
Keeping Latency Low for User-Defined Functions with WebAssemblyKeeping Latency Low for User-Defined Functions with WebAssembly
Keeping Latency Low for User-Defined Functions with WebAssembly
 
spinlock.pdf
spinlock.pdfspinlock.pdf
spinlock.pdf
 
Apache Ignite vs Alluxio: Memory Speed Big Data Analytics
Apache Ignite vs Alluxio: Memory Speed Big Data AnalyticsApache Ignite vs Alluxio: Memory Speed Big Data Analytics
Apache Ignite vs Alluxio: Memory Speed Big Data Analytics
 
Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...
Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...
Kernel Recipes 2015: Linux Kernel IO subsystem - How it works and how can I s...
 
Introduction to Apache Sqoop
Introduction to Apache SqoopIntroduction to Apache Sqoop
Introduction to Apache Sqoop
 
Spark architecture
Spark architectureSpark architecture
Spark architecture
 
DPDK in Containers Hands-on Lab
DPDK in Containers Hands-on LabDPDK in Containers Hands-on Lab
DPDK in Containers Hands-on Lab
 
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...
 
用Raspberry Pi 學Linux I2C Driver
用Raspberry Pi 學Linux I2C Driver用Raspberry Pi 學Linux I2C Driver
用Raspberry Pi 學Linux I2C Driver
 
What Can Compilers Do for Us?
What Can Compilers Do for Us?What Can Compilers Do for Us?
What Can Compilers Do for Us?
 
Apache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim ChenApache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
Apache Spark on Kubernetes Anirudh Ramanathan and Tim Chen
 

Destacado

The quality of work and health inequalities – cross-national differences
The quality of work and health inequalities –  cross-national differences �The quality of work and health inequalities –  cross-national differences �
The quality of work and health inequalities – cross-national differences sophieproject
 
Ea conference st albert feb 2014
Ea conference  st albert feb 2014Ea conference  st albert feb 2014
Ea conference st albert feb 2014tobylscott
 
Miquel Martí i Pol
Miquel Martí i PolMiquel Martí i Pol
Miquel Martí i PolQuim Civil
 
Presentation6
Presentation6Presentation6
Presentation6rbbrown
 
Microorganisms
MicroorganismsMicroorganisms
Microorganismssunilbhil
 
Dutch media landscape 2015 Q4 update by Starcom
Dutch media landscape 2015 Q4 update by Starcom Dutch media landscape 2015 Q4 update by Starcom
Dutch media landscape 2015 Q4 update by Starcom starcomNL
 
Say little, do more.
Say little, do more.Say little, do more.
Say little, do more.SURAJ MISHRA
 
Sulucionario electromagnetismo cheng
Sulucionario electromagnetismo cheng Sulucionario electromagnetismo cheng
Sulucionario electromagnetismo cheng Saku Garcia
 
Aspire one series service guide
Aspire one series service guideAspire one series service guide
Aspire one series service guideSetyo Prasadja
 
Windows 8.1 Deployment - Tools, Tools, Tools
Windows 8.1 Deployment - Tools, Tools, ToolsWindows 8.1 Deployment - Tools, Tools, Tools
Windows 8.1 Deployment - Tools, Tools, ToolsRoel van Bueren
 
Aplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri Octaviana
Aplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri OctavianaAplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri Octaviana
Aplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri Octavianasutrioctavianasitorus
 
Dedicado a mis amig@s ciberentic@s
Dedicado a mis amig@s ciberentic@sDedicado a mis amig@s ciberentic@s
Dedicado a mis amig@s ciberentic@sstaro G.G
 

Destacado (20)

The quality of work and health inequalities – cross-national differences
The quality of work and health inequalities –  cross-national differences �The quality of work and health inequalities –  cross-national differences �
The quality of work and health inequalities – cross-national differences
 
Ea conference st albert feb 2014
Ea conference  st albert feb 2014Ea conference  st albert feb 2014
Ea conference st albert feb 2014
 
Miquel Martí i Pol
Miquel Martí i PolMiquel Martí i Pol
Miquel Martí i Pol
 
Presentation6
Presentation6Presentation6
Presentation6
 
Microorganisms
MicroorganismsMicroorganisms
Microorganisms
 
Dutch media landscape 2015 Q4 update by Starcom
Dutch media landscape 2015 Q4 update by Starcom Dutch media landscape 2015 Q4 update by Starcom
Dutch media landscape 2015 Q4 update by Starcom
 
Synapseindia android apps (operating system)
Synapseindia android apps (operating system)Synapseindia android apps (operating system)
Synapseindia android apps (operating system)
 
1st Grade Unit 6: Blue jay finds a way
1st Grade Unit 6: Blue jay finds a way1st Grade Unit 6: Blue jay finds a way
1st Grade Unit 6: Blue jay finds a way
 
Zhuangzi
ZhuangziZhuangzi
Zhuangzi
 
Que es google docs
Que es google docsQue es google docs
Que es google docs
 
Say little, do more.
Say little, do more.Say little, do more.
Say little, do more.
 
Matematica docentes
Matematica docentesMatematica docentes
Matematica docentes
 
Sulucionario electromagnetismo cheng
Sulucionario electromagnetismo cheng Sulucionario electromagnetismo cheng
Sulucionario electromagnetismo cheng
 
C++ Chapter I
C++ Chapter IC++ Chapter I
C++ Chapter I
 
Aspire one series service guide
Aspire one series service guideAspire one series service guide
Aspire one series service guide
 
Windows 8.1 Deployment - Tools, Tools, Tools
Windows 8.1 Deployment - Tools, Tools, ToolsWindows 8.1 Deployment - Tools, Tools, Tools
Windows 8.1 Deployment - Tools, Tools, Tools
 
C Programming
C ProgrammingC Programming
C Programming
 
Aplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri Octaviana
Aplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri OctavianaAplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri Octaviana
Aplikom_Unsri_1. MyBiodata dan keunikan Matematika_Sutri Octaviana
 
Dedicado a mis amig@s ciberentic@s
Dedicado a mis amig@s ciberentic@sDedicado a mis amig@s ciberentic@s
Dedicado a mis amig@s ciberentic@s
 
Lulusan SMK PI class of 2014
Lulusan SMK PI class of 2014Lulusan SMK PI class of 2014
Lulusan SMK PI class of 2014
 

Similar a Configure h base hadoop and hbase client

Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)
Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)
Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)Nag Arvind Gudiseva
 
Hadoop installation on windows
Hadoop installation on windows Hadoop installation on windows
Hadoop installation on windows habeebulla g
 
Hadoop installation and Running KMeans Clustering with MapReduce Program on H...
Hadoop installation and Running KMeans Clustering with MapReduce Program on H...Hadoop installation and Running KMeans Clustering with MapReduce Program on H...
Hadoop installation and Running KMeans Clustering with MapReduce Program on H...Titus Damaiyanti
 
R hive tutorial supplement 1 - Installing Hadoop
R hive tutorial supplement 1 - Installing HadoopR hive tutorial supplement 1 - Installing Hadoop
R hive tutorial supplement 1 - Installing HadoopAiden Seonghak Hong
 
02 Hadoop deployment and configuration
02 Hadoop deployment and configuration02 Hadoop deployment and configuration
02 Hadoop deployment and configurationSubhas Kumar Ghosh
 
Single node hadoop cluster installation
Single node hadoop cluster installation Single node hadoop cluster installation
Single node hadoop cluster installation Mahantesh Angadi
 
Single node setup
Single node setupSingle node setup
Single node setupKBCHOW123
 
Configuring and manipulating HDFS files
Configuring and manipulating HDFS filesConfiguring and manipulating HDFS files
Configuring and manipulating HDFS filesRupak Roy
 
Hadoop cluster 安裝
Hadoop cluster 安裝Hadoop cluster 安裝
Hadoop cluster 安裝recast203
 
Hadoop single node installation on ubuntu 14
Hadoop single node installation on ubuntu 14Hadoop single node installation on ubuntu 14
Hadoop single node installation on ubuntu 14jijukjoseph
 
July 2010 Triangle Hadoop Users Group - Chad Vawter Slides
July 2010 Triangle Hadoop Users Group - Chad Vawter SlidesJuly 2010 Triangle Hadoop Users Group - Chad Vawter Slides
July 2010 Triangle Hadoop Users Group - Chad Vawter Slidesryancox
 
ACADGILD:: HADOOP LESSON
ACADGILD:: HADOOP LESSON ACADGILD:: HADOOP LESSON
ACADGILD:: HADOOP LESSON Padma shree. T
 
Hadoop Interview Questions and Answers by rohit kapa
Hadoop Interview Questions and Answers by rohit kapaHadoop Interview Questions and Answers by rohit kapa
Hadoop Interview Questions and Answers by rohit kapakapa rohit
 
Hadoop installation
Hadoop installationHadoop installation
Hadoop installationhabeebulla g
 
Hadoop Installation presentation
Hadoop Installation presentationHadoop Installation presentation
Hadoop Installation presentationpuneet yadav
 

Similar a Configure h base hadoop and hbase client (20)

Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)
Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)
Hadoop 2.0 cluster setup on ubuntu 14.04 (64 bit)
 
Hadoop 2.4 installing on ubuntu 14.04
Hadoop 2.4 installing on ubuntu 14.04Hadoop 2.4 installing on ubuntu 14.04
Hadoop 2.4 installing on ubuntu 14.04
 
Hadoop installation on windows
Hadoop installation on windows Hadoop installation on windows
Hadoop installation on windows
 
Hadoop completereference
Hadoop completereferenceHadoop completereference
Hadoop completereference
 
Hadoop installation and Running KMeans Clustering with MapReduce Program on H...
Hadoop installation and Running KMeans Clustering with MapReduce Program on H...Hadoop installation and Running KMeans Clustering with MapReduce Program on H...
Hadoop installation and Running KMeans Clustering with MapReduce Program on H...
 
R hive tutorial supplement 1 - Installing Hadoop
R hive tutorial supplement 1 - Installing HadoopR hive tutorial supplement 1 - Installing Hadoop
R hive tutorial supplement 1 - Installing Hadoop
 
02 Hadoop deployment and configuration
02 Hadoop deployment and configuration02 Hadoop deployment and configuration
02 Hadoop deployment and configuration
 
Run wordcount job (hadoop)
Run wordcount job (hadoop)Run wordcount job (hadoop)
Run wordcount job (hadoop)
 
Single node hadoop cluster installation
Single node hadoop cluster installation Single node hadoop cluster installation
Single node hadoop cluster installation
 
Single node setup
Single node setupSingle node setup
Single node setup
 
Configuring and manipulating HDFS files
Configuring and manipulating HDFS filesConfiguring and manipulating HDFS files
Configuring and manipulating HDFS files
 
Hadoop cluster 安裝
Hadoop cluster 安裝Hadoop cluster 安裝
Hadoop cluster 安裝
 
Hadoop single node installation on ubuntu 14
Hadoop single node installation on ubuntu 14Hadoop single node installation on ubuntu 14
Hadoop single node installation on ubuntu 14
 
July 2010 Triangle Hadoop Users Group - Chad Vawter Slides
July 2010 Triangle Hadoop Users Group - Chad Vawter SlidesJuly 2010 Triangle Hadoop Users Group - Chad Vawter Slides
July 2010 Triangle Hadoop Users Group - Chad Vawter Slides
 
ACADGILD:: HADOOP LESSON
ACADGILD:: HADOOP LESSON ACADGILD:: HADOOP LESSON
ACADGILD:: HADOOP LESSON
 
Hadoop Interview Questions and Answers by rohit kapa
Hadoop Interview Questions and Answers by rohit kapaHadoop Interview Questions and Answers by rohit kapa
Hadoop Interview Questions and Answers by rohit kapa
 
Hadoop installation
Hadoop installationHadoop installation
Hadoop installation
 
Hadoop Installation presentation
Hadoop Installation presentationHadoop Installation presentation
Hadoop Installation presentation
 
BIGDATA ANALYTICS LAB MANUAL final.pdf
BIGDATA  ANALYTICS LAB MANUAL final.pdfBIGDATA  ANALYTICS LAB MANUAL final.pdf
BIGDATA ANALYTICS LAB MANUAL final.pdf
 
Installing lemp with ssl and varnish on Debian 9
Installing lemp with ssl and varnish on Debian 9Installing lemp with ssl and varnish on Debian 9
Installing lemp with ssl and varnish on Debian 9
 

Más de Shashwat Shriparv (20)

Learning Linux Series Administrator Commands.pptx
Learning Linux Series Administrator Commands.pptxLearning Linux Series Administrator Commands.pptx
Learning Linux Series Administrator Commands.pptx
 
LibreOffice 7.3.pptx
LibreOffice 7.3.pptxLibreOffice 7.3.pptx
LibreOffice 7.3.pptx
 
Kerberos Architecture.pptx
Kerberos Architecture.pptxKerberos Architecture.pptx
Kerberos Architecture.pptx
 
Suspending a Process in Linux.pptx
Suspending a Process in Linux.pptxSuspending a Process in Linux.pptx
Suspending a Process in Linux.pptx
 
Kerberos Architecture.pptx
Kerberos Architecture.pptxKerberos Architecture.pptx
Kerberos Architecture.pptx
 
Command Seperators.pptx
Command Seperators.pptxCommand Seperators.pptx
Command Seperators.pptx
 
Upgrading hadoop
Upgrading hadoopUpgrading hadoop
Upgrading hadoop
 
Hadoop migration and upgradation
Hadoop migration and upgradationHadoop migration and upgradation
Hadoop migration and upgradation
 
R language introduction
R language introductionR language introduction
R language introduction
 
Hive query optimization infinity
Hive query optimization infinityHive query optimization infinity
Hive query optimization infinity
 
H base introduction & development
H base introduction & developmentH base introduction & development
H base introduction & development
 
Hbase interact with shell
Hbase interact with shellHbase interact with shell
Hbase interact with shell
 
H base development
H base developmentH base development
H base development
 
Hbase
HbaseHbase
Hbase
 
H base
H baseH base
H base
 
My sql
My sqlMy sql
My sql
 
Apache tomcat
Apache tomcatApache tomcat
Apache tomcat
 
Linux 4 you
Linux 4 youLinux 4 you
Linux 4 you
 
Introduction to apache hadoop
Introduction to apache hadoopIntroduction to apache hadoop
Introduction to apache hadoop
 
Next generation technology
Next generation technologyNext generation technology
Next generation technology
 

Último

Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 

Último (20)

Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 

Configure h base hadoop and hbase client

  • 2. Configure Hadoop/HBase/ and Hbase-Client Configure Hadoop: Prerequisites: Check your IP setup If you’re on Ubuntu check your hosts file. If you see something like: 127.0.0.1 localhost 127.0.1.1 <server fqn> <server name, as in /etc/hostname> get rid of the second line, and change to 127.0.0.1 localhost <server ip> <server fqn> <server name, as in /etc/hostname> e.g. 127.0.0.1 localhost 23.201.99.100 shashwat If you don’t do this, the region servers will resolve their addresses to 127.0.1.1. This information will be stored inside the ZooKeeper instance that HBase runs (the directory and lock manager used by the system to configure and synchronize a running HBase cluster). When manipulating remote HBase data, client code libraries actually connect to ZooKeeper to find the address of the region server maintaining the data. In this case, they will be given 127.0.1.1 which resolves to the client machine. Sun Java 6 1. Add the Canonical Partner Repository to your apt repositories: $ sudo add-apt-repository "deb http://archive.canonical.com/ lucid partner"
  • 3. 2. Update the source list $ sudo apt-get update 3. Install sun-java6-jdk $ sudo apt-get install sun-java6-jdk 4. Select Sun’s Java as the default on your machine. $ sudo update-java-alternatives -s java-6-sun If you installing it on Ubuntu 12.04 then follow this : sudo add-apt-repository ppa:webupd8team/java sudo apt-get update sudo apt-get install oracle-java7-installer Adding a dedicated Hadoop system user We will use a dedicated Hadoop user account for running Hadoop. While that’s not required it is recommended because it helps to separate the Hadoop installation from other software applications and user accounts running on the same machine (think: security, permissions, backups, etc). $ sudo addgroup hadoop $ sudo adduser --ingroup hadoop hduser This will add the user hduser and the group hadoop to your local machine. Configuring SSH 1. su - hduser 2. ssh-keygen -t rsa -P "" 3. cat $HOME/.ssh/id_rsa.pub >>$HOME/.ssh/authorized_keys
  • 4. ssh shashwat //If you able to connect to shashwat successfully without //giving password then ssh is successfully configured, else //delete the .ssh folder in user's home folder and try again to configure ssh If the SSH connect should fail, these general tips might help: Enable debugging with ssh -vvv shashwat and investigate the error in detail. Check the SSH server configuration in /etc/ssh/sshd_config, in particular the optionsPubkeyAuthentication (which should be set to yes) andAllowUsers(if this option is active, add thehduser user to it). If you made any changes to the SSH server configuration file, you can force a configuration reload with sudo /etc/init.d/ssh reload. Disabling IPv6 One problem with IPv6 on Ubuntu is that using 0.0.0.0 for the various networking-related Hadoop configuration options will result in Hadoop binding to the IPv6 addresses of my Ubuntu box. In my case, I realized that there’s no practical point in enabling IPv6 on a box when you are not connected to any IPv6 network. Hence, I simply disabled IPv6 on my Ubuntu machine. Your mileage may vary. To disable IPv6 on Ubuntu 10.04 LTS, open /etc/sysctl.conf in the editor of your choice and add the following lines to the end of the file: #disable ipv6 net.ipv6.conf.all.disable_ipv6 = 1 net.ipv6.conf.default.disable_ipv6 = 1 net.ipv6.conf.lo.disable_ipv6 = 1 You have to reboot your machine in order to make the changes take effect. You can check whether IPv6 is enabled on your machine with the following command: $ cat /proc/sys/net/ipv6/conf/all/disable_ipv6 A return value of 0 means IPv6 is enabled, a value of 1 means disabled (that’s what we want).
  • 5. Alternative You can also disable IPv6 only for Hadoop as documented in HADOOP-3437. You can do so by adding the following line to conf/hadoop- env.sh: export HADOOP_OPTS=-Djava.net.preferIPv4Stack=true Hadoop Installation You have to download Hadoop from the Apache Download Mirrors and extract the contents of the Hadoop package to a location of your choice. I picked /usr/local/hadoop. Make sure to change the owner of all the files to the hduser user and hadoop group, for example: $ cd /usr/local $ sudo tar xzf hadoop-0.20.2.tar.gz $ sudo mv hadoop-0.20.2 hadoop $ sudo chown -R hduser:hadoop hadoop Hadoop-Configuration hadoop-env.sh The only required environment variable we have to configure for Hadoop in this tutorial is JAVA_HOME. Open/conf/hadoop-env.sh in the editor of your choice (if you used the installation path in this tutorial, the full path is/usr/local/hadoop/conf/hadoop-env.sh) and set the JAVA_HOME environment variable to the Sun JDK/JRE 6 directory. Change # The java implementation to use. Required. # export JAVA_HOME=/usr/lib/j2sdk1.5-sun
  • 6. to # The java implementation to use. Required. export JAVA_HOME=/usr/lib/jvm/java-6-sun Add the following snippets between the <configuration> </configuration> tags in the respective configuration XML file. In file conf/core-site.xml: <!-- In: conf/core-site.xml --> <property> <name>hadoop.tmp.dir</name> <value>/app/hadoop/tmp</value> <description>A base for other temporary directories.</description> </property> <property> <name>fs.default.name</name> <value>hdfs://shashwat:54310</value> <description>The name of the default file system. A URI whose scheme and authority determine the FileSystem implementation. The uri's scheme determines the config property (fs.SCHEME.impl) naming the FileSystem implementation class. The uri's authority is used to determine the host, port, etc. for a filesystem.</description> </property> In file conf/mapred-site.xml: <!-- In: conf/mapred-site.xml --> <property> <name>mapred.job.tracker</name>
  • 7. <value>shashwat:54311</value> <description>The host and port that the MapReduce job tracker runs at. If "local", then jobs are run in-process as a single map and reduce task. </description> </property> In file conf/hdfs-site.xml: <!-- In: conf/hdfs-site.xml --> <property> <name>dfs.replication</name> <value>1</value> <description>Default block replication. The actual number of replications can be specified when the file is created. The default is used if replication is not specified in create time. </description> </property> Formatting the HDFS filesystem via the NameNode hduser@ubuntu:~$ /usr/local/hadoop/bin/hadoop namenode -format Starting your single-node cluster hduser@ubuntu:~$ /usr/local/hadoop/bin/start-all.sh A nifty tool for checking whether the expected Hadoop processes are running is jps if you can see the following: TaskTracker JobTracker DataNode
  • 8. SecondaryNameNode Jps NameNode then you can be sure that hadoop is configured correctly and running. Making sure Hadoop is working You can see the Hadoop logs in ~/work/hadoop/logs You should be able to see the Hadoop Namenode web interface at http://shashwat:50070/ and the JobTracker Web Interface at http://shashwat:50030/. If not, check that you have 5 java processes running where each of those java processes have one of the following as their last command line (as seen from a ps ax | grep hadoop command) : org.apache.hadoop.mapred.JobTracker org.apache.hadoop.hdfs.server.namenode.NameNode org.apache.hadoop.mapred.TaskTracker org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode org.apache.hadoop.hdfs.server.datanode.DataNode If you do not see these 5 processes, check the logs in ~work/hadoop/logs/*.{out,log} for messages that might give you a hint as to what went wrong. Run some example map/reduce jobs The Hadoop distro comes with some example / test map / reduce jobs. Here we’ll run them and make sure things are working end to end. cd ~/work/hadoop # Copy the input files into the distributed filesystem # (there will be no output visible from the command): bin/hadoop fs -put conf input # Run some of the examples provided: # (there will be a large amount of INFO statements as output) bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+' # Examine the output files: bin/hadoop fs -cat output/part-00000 The resulting output should be something like: 3 dfs.class 2 dfs.period 1 dfs.file 1 dfs.replication
  • 9. 1 dfs.servers 1 dfsadmin 1 dfsmetrics.log Configure Hbase : The following config files all reside in ~/work/hbase/conf. As mentioned earlier, use a FQDN or a Bonjour name instead of shashwat if you need remote clients to access HBase. But if you don’t use shashwat here, make sure you do the same in the Hadoop config. hbase-env.sh Add the following line below the commented out JAVA_HOME line is in hbase- env.sh export JAVA_HOME=/System/Library/Frameworks/JavaVM.framework/Versions/ CurrentJDK/Home Add the following line below the commented out HBASE_CLASSPATH= line export HBASE_CLASSPATH=${HOME}/work/hadoop/conf hbase-site.xml <?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <?xml version="1.0"?><?xml-stylesheet type="text/xsl" href="configuration.xsl"? > <configuration> <property> <name>hbase.rootdir</name> <value>hdfs://shashwat:9000/hbase</value> <description>The directory shared by region servers. </description> </property> </configuration> Making Sure HBase is Working If you do a ps ax | grep hbase you should see two java processes. One should end with: org.apache.hadoop.hbase.zookeeper.HQuorumPeer start And the other should end with: org.apache.hadoop.hbase.master.HMaster start
  • 10. Since we are running in the Pseudo-Distributed mode, there will not be any explicit regionservers running. If you have problems, check the logs in ~/work/hbase/logs/*.{out,log} Testing HBase using the HBase Shell From the unix prompt give the following command: ~/work/hbase/bin/hbase shell Here is some example commands from the Apache HBase Installation Instructions: base> # Type "help" to see shell help screen hbase> help hbase> # To create a table named "mylittletable" with a column family of "mylittlecolumnfamily", type hbase> create "mylittletable", "mylittlecolumnfamily" hbase> # To see the schema for you just created "mylittletable" table and its single "mylittlecolumnfamily", type hbase> describe "mylittletable" hbase> # To add a row whose id is "myrow", to the column "mylittlecolumnfamily:x" with a value of 'v', do hbase> put "mylittletable", "myrow", "mylittlecolumnfamily:x", "v" hbase> # To get the cell just added, do hbase> get "mylittletable", "myrow" hbase> # To scan you new table, do hbase> scan "mylittletable" You can stop hbase with the command: ~/work/hbase/bin/stop-hbase.sh Once that has stopped you can stop hadoop: ~/work/hadoop/bin/stop-all.sh Setting Hbase Client (Accessing Hbase Remotely): Add following to hbase-site.xml
  • 11. <property> <name>hbase.rootdir</name> <value>hdfs://<domain address>:9000/hbase</value> </property> <property> <name>hbase.master</name> <value>shashwat:60000</value> <description>The host and port that the HBase master runs at.</ description> </property> <property> <name>hbase.regionserver.port</name> <value>60020</value> <description>The host and port that the HBase master runs at.</ description> </property> <!--<property> <name>hbase.master.port</name> <value>60000</value> <description>The host and port that the HBase master runs at.</ description> </property>--> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> <property>
  • 12. <name>hbase.tmp.dir</name> <value>/home/shashwat/Hadoop/hbase-0.90.4/temp</value> </property> <property> <name>hbase.zookeeper.quorum</name> <value>shashwat</value> </property> <property> <name>dfs.replication</name> <value>1</value> </property> <property> <name>hbase.zookeeper.property.clientPort</name> <value>2181</value> <description>Property from ZooKeeper's config zoo.cfg. The port at which the clients will connect. </description> </property> <property> <name>hbase.zookeeper.property.dataDir</name> <value>/home/<user>/zookeeper</value> <description>Property from ZooKeeper's config zoo.cfg. The directory where the snapshot is stored. </description> </property>
  • 13. After adding the above text to hbase-site.xml, start hbase and check if the HMaster is running using -jps- command on the shell. After this the ip address and dommain name of the hbase master should be added to the client machines which are interested in connected to hbase remotely. Suppose hbase.master is running on 192.168.2.125 and the domain name is shashwat Windows -: My computer-> c:-> windows->system32->drivers->etc->hosts Linux -: /etc/hosts Open the file with admin permission and add the line 192.168.2.125 shashwat //the server where the //hbase.master is running save this file and exit. Building the hbae client : code for accessing the hmaster using client. Following is the client code. import java.io.IOException; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.MasterNotRunningException; import org.apache.hadoop.hbase.ZooKeeperConnectionException; import org.apache.hadoop.hbase.client.HBaseAdmin; import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.client.Get;
  • 14. import org.apache.hadoop.hbase.client.Result; import org.apache.hadoop.hbase.util.Bytes; public class HbaseClient { /** * @param args the command line arguments */ public static void main(String[] args) throws MasterNotRunningException, ZooKeeperConnectionException, IOException { // TODO code application logic here System.out.println("Hbase Demo Application "); // CONFIGURATION // ENSURE RUNNING Configuration conf = HBaseConfiguration.create(); conf.clear(); conf.set("hbase.zookeeper.quorum", "shashwat"); conf.set("hbase.zookeeper.property.clientPort", "2181"); conf.set("hbase.master", "shashwat:60000"); HBaseAdmin.checkHBaseAvailable(conf); System.out.println("HBase is running!"); HTable table = new HTable(conf, "date"); System.out.println("Table obtained"); System.out.println("Fetching data now....."); Get g = new Get(Bytes.toBytes("-101")); Result r = table.get(g); byte[] value = r.getValue(Bytes.toBytes("cf"), Bytes.toBytes("cf1")); // If we convert the value bytes, we should get back 'Some Value', the // value we inserted at this location.
  • 15. String valueStr = Bytes.toString(value); System.out.println("GET: " + valueStr); } } Some references : http://wiki.apache.org/hadoop/ http://wiki.apache.org/hadoop/Hbase/FAQ http://blog.ibd.com/howto/hbase-hadoop-on-mac-ox-x/ http://ria101.wordpress.com/2010/01/28/setup-hbase-in-pseudo- distributed-mode-and-connect-java-client/ http://hadoop.apache.org/common/docs/r0.20.2/quickstart.html#P seudoDistributed http://www.michael-noll.com/blog/2011/04/09/benchmarking-and- stress-testing-an-hadoop-cluster-with-terasort-testdfsio-nnbench- mrbench/ http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu- linux-multi-node-cluster/ http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu- linux-single-node-cluster/ http://hbase.apache.org/book.html Note : If you find any mistake in this document, feel free to drop me a mail @ Gmail : dwivedishashwat@gmail.com Facebook : https://www.facebook.com/shriparv Twitter : https://twitter.com/#!/shashwat_2010 Skype : shriparv Visit My blogs at : http://helpmetocode.blogspot.in/ http://writingishabit.blogspot.in/ http://realiq.blogspot.in/