1. Prepare the jar package and install eclipse.2. Copy the jar package to the Eclipse/plugin. 3. Open Eclipse, configure Hadoop home in eclipseWindows->preference, choose your own Hadoop installation path: 4.windows->show View->other: or Windows->open Perspective->other: 5. Configure the port:Right-click at location, new Hadoop: 6.
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
Configuration file
m103 Replace with the HDFs service address.To use the Java client to access the file on the HDFs, have to say is the configuration file Hadoop-0.20.2/conf/core-site.xml, originally I was here to eat a big loss, so I am not even hdfs, file can not be created, read.
Configuration item: H
Link: http://hortonworks.com/kb/get-started-setting-up-ambari/
Ambari is 100% open source and supported ded in HDP, greatly simplifying installation and initial configuration of hadoop clusters. in this article we'll be running through some installation steps to get started with ambari. most of the steps here are covered in the main HDP documentation here.
Ambari is a 100% open-source project that is in
Cygwin is a good tool. It can be used in a Linux environment running in windows. It is a compromise when integrating eclipse development. You may also encounter some problems.
1. Installation: many tools are not installed by default during installation, such as VI and SSH. You need to select the Installation tool.
2. path, in the cygwin format, for example, replacing "D: \ cygwin" with "/cygdrive/D/cygwiw". If the directory contains spaces, problems may occur, the path in the cygdrive format
The Map/reduce compute engine is configured on the Namenode node and runs on the yarn resource scheduling platform;Namenode Configuring Yarn-site.xml FilesSpecify ResourceManager on the master nodeConfigure compute MapReduce-relatedExample executionHadoop Jar/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount 10803060234.txt/ Ou
based on the recommended configuration of Horntonworks, a common memory allocation scheme for various components on Hadoop cluster is given. The right-most column of the scenario is a 8G VM allocation scheme that reserves 1-2g memory to the operating system, assigns 4G to Yarn/mapreduce, and of course includes hive, and the remaining 2-3g is reserved for hbase when it is necessary to use HBase.
/start-dfs.sh to run it again. STEP 3: Install HiveHTTP://WWW.TUICOOL.COM/ARTICLES/BMUJAJJ Installation of the problem is not big, step by step solution can be.But after running the Hive command, run show databases again; Some problems may occur (no database data is displayed) and prompt:Relative path in absolute URI: ${system:java.io.tmpdir%7d/$%7bsystem:user.name%7d)This is because the absolute path is not specified in the Hive_home/conf/hive-site.xml file.Resolved as follows:A. Create a new I
A number of configuration parameters are listed
Where red is configured to have parameters configured
Parameter value Comment
Fs.default.name
The URI of the NameNode.
HDFS://Host name/
Dfs.hosts/dfs.hosts.exclude
License/Deny Datanode list.
If necessary, use this file to control the list of licensed Datanode.
Dfs.replication
Default: 3
Score for data replication
Dfs.name.dir
Ex
One, configure the history server1. Configure the history server to configure the following in Etc/hadoop/mapred-site.xml.2. Distributing the configuration to all servers3. Start the service to execute the following statement on this server on localhost:mr-jobhistory-daemon.sh Start HistoryserverTwo, configure Timeline server1. Configure the history server to configure the following in Etc/
JMX, these monitoring methods are Zabbix server initiative to ask the equipment to be monitored, and trapper is passively waiting for the monitoring equipment to report the data (through Zabbix_sender) up, Then extract what you want from the data in the report.
Note If the monitor side provides an interface for external access to its running data (not too secure), you can use the external check invoke script to remotely fetch the data and then zabbix_sender the obtained data to Zabbix Server i
In the last blog post we have introduced the use of single-machine pseudo-distributed mode for Hadoop, so now we are going to look at the multi-computer fully distributed mode.1. Multi-Host Configuration 1.1 host name settings for multiple machinesUse the following command with the root account:vim /etc/hostnameThe three machines were set to: Host1, Host2, Host31.2 Configuring Host MappingsUse the following
Machine EnvironmentUbuntu 14.10 64-bit | | OpenJDK-7 | | Scala-2.10.4Fleet OverviewHadoop-2.6.0 | | HBase-1.0.0 | | Spark-1.2.0 | | Zookeeper-3.4.6 | | hue-3.8.1About Hue (from the network):UE is an open-source Apache Hadoop UI system that was first evolved by Cloudera desktop and contributed by Cloudera to the open source community, which is based on the Python web framework Django implementation. By using hue we can interact with the
RSRV0103QAP1 to indicate successful connection2. Start Hive Remote service: Rhive is connected through thrift connection Hiveserver, need to start the background thrift service, that is: Start hive remote service on hive client, if you have turned on skip this stepNohup Hive--service Hiveserver Rhive TestLibrary (rhive)Rhive.connect ("Master", 10000,hiveserver2=true)Complete!Finally attach rhive related document addressHttps://github.com/nexr/RHive/wiki/User-GuideThis article refers to the addr
MAVEN environment did not import execution: Export M2_home=/usr/share/maven export path= $PATH: $M 2_home/binSubsequently compiled: MVN packageProblems encountered:Cannot run Program "autoreconf" installs the dependent libraries mentioned aboveCannot FIND-LJVM this error because the libjvm.so that installed the JVM was not linked to/usr/local/lib. If your system is AMD64, you can do the following to solve the problem:ln -s /usr /java/jdk17.0_75/jre/lib/amd64/ server/libjvm. /usr /local/lib/
In a previous blog, wrote that my Python script does not work, and later was modified Hosts file, today, a colleague again explained the next problem, found that the understanding before error.Another way to introduce this is to add all the host names and IP addresses to the hosts file for each machine.For Linux systems, modify/etc/hosts files, all machines in all Hadoop environments add machine names and IP addresses, as follows:10.200.187.77 Master1
Yarn-site.xml Add the following configuration, no need to restart Hadoop
Start HistoryserverExecute the following command in the/usr/local/hadoop-2.7.3/sbin directory
mr-jobhistory-daemon.sh Start Historyserver
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