1. First install the JDK and configure the Java environment variables (specific methods can be found in google)Unzip the hadoop-0.20.2.tar.gz into your Ubuntu account directory (/home/xxxx/hadoop) (unzip to any directory can be, see the individual needs, but the configuration of the following files must be changed to their own path)Modify the Core-site.xml,
rest assured download the latest version of the official website of Hadoop. If the reader is a user who installs the Ubuntu system using a virtual machine, access this guide using Ubuntu from the virtual machine, and then click on the address below To download the Hadoop file to the virtual machine in
Newer versions of Hadoop use the new MapReduce framework (MapReduce V2, also known as Yarn,yet another Resource negotiator).
YARN is isolated from MapReduce and is responsible for resource management and task scheduling. YARN runs on MapReduce, providing high availability and scalability.The above-mentioned adoption./sbin/start-dfs.shstart Hadoop, just
three ways to start and close Hadoop's five daemon processes
The first type of startup:
Go to "hadoop-1.x/bin" directory, perform START-ALL.SH,JPS view process, start all successfully.
19043 NameNode
19156 DataNode
19271SecondaryNameNode
19479TaskTracker
24008 Jps
19353JobTracker
View
and dfs.datanode.data.dir can be set freely, preferably in Hadoop.tmp.dir the directory below. Supplement, if run Hadoop found no jdk, you can directly put the JDK path in the hadoop-env.sh inside, Specific as follows: Export Java_home= "/usr/local/jdk1.8.0_91"9. Running Hadoop① initializing HDFS systemcommand:bin/hdfs Namenode-format② Open NameNode and Data
Hello, everyone, let me introduce you to Ubuntu. Eclipse Development Hadoop Application Environment configuration, the purpose is simple, for research and learning, the deployment of a Hadoop operating environment, and build a Hadoop development and testing environment.
Environment: Vmware 8.0 and Ubuntu11.04
The first
decrypts it with the private key and returns the number of decrypted data to Slave. After the Slave confirms that the number of decrypted data is correct, it allows the Master to connect. This is a public key authentication process, during which you do not need to manually enter the password. The important process is to copy the client Master to the Slave.
2) generate a password pair on the Master machine
Ssh-keygen-t rsa-p'-f ~ /. Ssh/id_rsa
This command is used to generate a password-less ke
Build and install the Hadoop environment in Ubuntu 14.04.4
Build and install the Hadoop environment in Ubuntu 14.04.4
I. Prepare the environment:1, 64-bit ubuntu-14.04.4Jdk-7u80-linux-x64 2
2. Configure jdk:1. Enter the command statement: 2. Write configuration information:
/local/conf/schema.xml solr/collection1/conf/schema.xml6.3 Start SOLRstart.jar6.4 Visit Http://localhost:8983/solr/#/collection1/query View SOLR page7 Start crawl and test the search Effect 7.1 add crawl URLGo to the/usr/local/nutch/runtime/local directory, create the URLs directory and create the Url.txt file content as a seed URL, such as:http://www.cnbeta.com7.2 Execution./bin/crawl urls TestCrawl http:/
, in fact, especially simple, close the current virtual machine, a copy of just the virtual machine files, and then re-name, open again, modify the username and IP is good, my Ubuntu name is the same, as long as not a disk on the line.
Finally, enter the following command in the master (username, which is the main node of Ubuntu), also in the hadoop-1.0.3 fi
configuration, in fact, especially simple, close the current virtual machine, a copy of just the virtual machine files, and then re-name, open again, modify the username and IP is good, my Ubuntu name is the same, as long as not a disk on the line.Finally, enter the following command in the master (username, which is the main node of Ubuntu), also in the hadoop-
following between the Save, close the edit windowThe contents of the final modified file are as followsiv. Configuration Hdfs-site.xml/usr/local/hadoop/etc/hadoop/hdfs-site.xml is used to configure each host in the cluster to be available, specifying the directory on the host as Namenode and Datanode.Create the folder as shown inYou can also create a folder under another path, the name can be different, bu
I. Environment Ubuntu10.10 + jdk1.6 II. Download amp; installer 1.1 ApacheHadoop: Download HadoopRelase: uninstall
I. Environment
Ubuntu 10.10 + jdk1.6
Ii. download and install the program
1.1 Apache Hadoop:
Download Hadoop Relase: http://hadoop.apache.org/common/releases.html
Unzip: tar xzf hadoop-x.y.z.tar.gz
1.2 in
port is occupied by 127.0.1.1, so there will be an exception
C: The command to format the file system should be
HDFs Namenode-format
D:hadoop Services and yarn services need to be started separately
start-dfs.sh
start-yarn.sh
E: Configure all the configuration files on the primary node and copy them directly from the node
F: Unlike when doing a single node example, I need to make a specific path w
latest version of Hadoop into the current directory (the current installation package is: hadoop-1.2.1.tar.gz)2. Go to the Conf subdirectory and modify the following configuration file:A. hadoop-env.shSet the Java path at the end:1 export JAVA_HOME=/USR/LIB/JVM/JDK1. 8. 0_25B. core-site.xmlConfigured to:1"1.0"?>2"text/xsl"href="configuration.xsl"?>3 4inchThisfil
, SSH configurationSSH needs to be configured as a password-free login statusEnter two sentences at the command line:Ssh-keygen-t Rsa-p "-F ~/.ssh/id_rsaCat ~/.ssh/id_rsa.pub >>~/.ssh/authorized_keysAfter configuration, verify that SSH requires a password and enter it at the command line:SSH localhostThe following actions are performed under Conf in the hadoop-0.20.2 folder, and a CD is entered at the command line
tag: OS ar Java SP art C on code r
启动hadoop1.start-all.sh 可以看到这个脚本包含两个部分,start-dfs.sh和start-mapred.sh2.start-dfs.sh包含 "$HADOOP_COMMON_HOME"/bin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script "$bin"/hdfs start namenode $nameSt
work) I also downloaded the required test data from the ncdc official website, which I described. After reading the data for a long time, it was originally a test, just look for the two-year data of the two temperature test sites and combine them as the test data.
Next, I will start my understanding of the first two chapters. I hope that later users can quickly learn the content of the second chapter through one night.1. Preparation (30 minutes) 1)
easily extended to thousands of nodes. Efficiency. Hadoop The ability to dynamically move data between nodes, and to ensure the dynamic balance of each node , processing speed is very fast.High level of fault tolerance. Hadoop ability to automatically save multiple copies of data and automatically reassign failed tasks. Low cost. Hadoop is open source compared t
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