Tags: for IDE grep package Technology share mapper data [] MainMac under Hadoop run Word Count's pitWord Count embodies the classic idea of map reduce, which is the Hello World in distributed computing. However, the blogger was fortunate to have encountered a problem peculiar to the Mac Mkdirs failed to create, hereby recordedOne, the code
Wcmapper.java
Package WordCount;import org.apache.hado
This article describes how to use intellij idea to package a project, that is, to package a jar package.
Environment: Mac OS X 10.9.5, intellij idea 13.1.4, hadoop 1.2.1
Hadoop is stored in a virtual machine. The host machine is connected through SSH, And the IDE and data files are stored in the host machine. Idea runs on JDK 1.8 and uses JDK 1.6 for idea enginee
comment #) Note: Some blogs write that you need to comment out the next line
export hadoop_opts= "-djava.security.krb5.realm=ox. ac.uk-djava.security.krb5.kdc=kdc0.ox.ac.uk:kdc1.ox.ac.uk "(remove comments) I didn't find this one, so I didn't have this one.
2. Configuration core-site.xml--Specifies the hostname and port of the Namenode
4. Configuration mapred-site.xml--Specifies the hostname and port of the Jobtracker
5.SSH configuration turn on sharing in
This article describes the resolution process for job recalculation when submitting jobs in CentOS 6.5 to Hadoop 1.2.1 encountered Error:java heap space errors in the reduce phase. Workaround for Linux, Mac os X, and Windows operating systems.Environment: Mac OS X 10.9.5, IntelliJ idea 13.1.4, Hadoop 1.2.1Hadoop is pla
This article describes how to use filesystem. copyfromlocalfile in intellij idea to operate hadoop. Permission denied is caused by incorrect URI format.
Environment: Mac OS X 10.9.5, intellij idea 13.1.4, hadoop 1.2.1
Hadoop is stored in a virtual machine. The host machine is connected through SSH, And the IDE and data
Sun.reflect.NativeMethodAccessorImpl.invoke (Nativemethodaccessorimpl.java:57) at Sun.reflect.DelegatingMethodAccessorImpl.invoke (Delegatingmethodaccessorimpl.java:43) at Java.lang.reflect.Method.invoke (Method.java:606) at org.codehaus.plexus.classworlds.launcher.Launcher.launchEnhanced (Launcher.java:289) at Org.codehaus.plexus.classworlds.launcher.Launcher.launch (Launcher.java:229) at Org.codehaus.plexus.classworlds.launcher.Launcher.mainWithExitCode (Launcher.java:415) at Org.codehaus.ple
variablesConfigure the Hadoop environment variable in the. bash_profile file and use Vim to open the file and enter edit modeVim ~/.bash_profileIn this file, addExport hadoop_home=/users/fengzhen/desktop/hadoop/hadoop-2.8.0 Here is the installation path for HADOOP export path= $PATH: $
First, a brief introduction of the next blogger's configuration environment
MAC 10.10.0
Hadoop 2.6
JDK 1.6 (can be queried in the shell using jdk-version)
Hadoop installationIt is recommended to use the brew under the MAC for installation, the reason is to use brew installation, it will automatica
Mac OSX System Brew install Hadoop Installation Guide
Brew Install Hadoop
Configure Core-site.xml: Configure the HDFs file address (remember to chmod the corresponding folder, otherwise it will not start HDFs properly) and Namenode RPC traffic port
Configuring the map reduce communication port in Mapred-site.xml
Configures the number of Datan
Mac Configuration Hadoop1. Modify/etc/hosts127.0.0.1 localhost2. Download the hadoop2.9.0 and JDK and install the appropriate environmentVim/etc/profileExport hadoop_home=/users/yg/app/cluster/hadoop-2.9.0Export hadoop_conf_dir= $HADOOP _home/etc/hadoopExport path= $PATH: $HADOOP _home/binExport Java_home=/library/java
Mac OS X maven compiled spark-2.1.0 for hadoop-2.8.01. The official documentation requires the installation of Maven 3.3.9+ and Java 8;2. Implementation Export maven_opts= "-xmx2g-xx:reservedcodecachesize=512m"3.CD spark2.1.0 Source root directory./build/mvn-pyarn-phadoop-2.8-dhadoop.version=2.8.0-dscala-2.11-phive-phive-thriftserver-dskiptests Clean Package4 Switch to the compiled dev directory and execute
When simplifying the code associated with a single table in MySQL 2nd (version 5.4), Lu xiheng encountered a null pointing exception. After analysis, it was a logic problem and we made a record here.
Environment: Mac OS X 10.9.5, intellij idea 13.1.5, hadoop 1.2.1
The modified code is as follows. In the reduce stage, nullpointerexception is encountered.
1 public class STjoinEx { 2 private static final
Because the pre-compiled packages on the official website of Hadoop2 are all compiled in 32 bits, and problems may occur in 64-bit systems, you need to compile and run them on 64-bit systems.
Example: http://apache.osuosl.org/hadoop/common/hadoop-2.2.0/
Download hadoop-2.2.0-src.tar.gz
Decompress the package and run:
$ Mvn-version
$ Mvn clean
$ Mvn install-D
One, Nat mode network access
(1) Enter commands in Linux ifconfig view network information
(2) Enter commands in Mac Ifconfig view network information
lo0: flags=8049
Found two more Vmnet1,vmnet8 interface, played by VMware know this is a virtual network, VMNET1 is Host-only way, Vmnet8 is the way of Nat.
(3) View VMware Fusion Configuration
@webm ? ~ sudo more /Library/Preferences/VMware\ Fusion/n
I. Preparatory work:1. JDK1.7 version and above (it seems that Hadoop only supports more than 1.6 versions, not sure, for the sake of 1.7, I use 1.8)2.2.7.3 version of Hadoop https://archive.apache.org/dist/hadoop/common/hadoop-2.7.3/download the one with more than 200 mTwo. Configure SSH password-free login1. Turn on
Install times wrong: Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (site) on project Hadoop-hdfs:an Ant B Uildexception has occured:input file/usr/local/hadoop-2.6.0-stable/hadoop-2.6.0-src/hadoop-hdfs-project/ Hadoop-hdfs/target/findbugsxml.xml
Hadoop Foundation----Hadoop Combat (vi)-----HADOOP management Tools---Cloudera Manager---CDH introduction
We have already learned about CDH in the last article, we will install CDH5.8 for the following study. CDH5.8 is now a relatively new version of Hadoop with more than hadoop2.0, and it already contains a number of
Chapter 2 mapreduce IntroductionAn ideal part size is usually the size of an HDFS block. The execution node of the map task and the storage node of the input data are the same node, and the hadoop performance is optimal (Data Locality optimization, avoid data transmission over the network ).
Mapreduce Process summary: reads a row of data from a file, map function processing, Return key-value pairs; the system sorts the map results. If there are multi
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