When running mapreduce jobs, beginners often encounter various errors, often on the cloud. Generally, they directly paste the errors printed on the terminal to the search engine for help.
For hadoop, when an error occurs, you should first check the log, and the general production in the log will have a detailed error cause prompt. Hadoop mapreduce logs are divided into two parts:Service logs, In partJob log
Hadoop HDFs provides a set of command sets to manipulate files, either to manipulate the Hadoop Distributed file system or to manipulate the local file system. But to add theme (Hadoop file system with hdfs://, local
The Hadoop Distributed File system is the Hadoop distributed FileSystem.When the size of a dataset exceeds the storage capacity of a single physical computer, it is necessary to partition it (Partition) and store it on several separate computers, managing a file system that spans multiple computer stores in the network
Shell commands: delete the last column, delete the first line, diff, and so on. delete the first line of the file: sed amp; #39; 1d amp; #39; filename: awk amp; #39; {print $ NF} amp; #39; two methods for comparing filename files: 1) comm-3 -- no... shell commands: delete
It is still the central link for batch delivery to ApacheHadoop through MapReduce ., However, Hadoop (Distributed File System) has experienced significant development as the pressure to obtain competitive advantages from the "super-thinking speed" analysis increases. Technology development allows real-time queries, such as ApacheDrill, ClouderaImpala, and StingerInitiati
It is still the central link to deli
Today, to verify your own softwareFile Delete Absolutely 1.03As shown in the following experiment.
Figure 1Delete a fileDelete Absolutely) 1.03 UI 1
Figure 2File Delete absolutely 1.03 page 2
Number of computers:3
Operating System:The two servers are installed with Windows 2000 Sever.
One server is installed with Windows XP
Type of the file to be dele
Example of the hadoop configuration file automatically configured by shell [plain] #! /Bin/bash read-p 'Please input the directory of hadoop, ex:/usr/hadoop: 'hadoop_dir if [-d $ hadoop_dir]; then echo 'yes, this directory exist. 'else echo 'error, this directory not exist. 'Exit 1 fi if [-f $ hadoop_dir/conf/core-site
more Authorized_keys to viewLog on to 202 on 201 using SSH 192.168.1.202:22Need to do a local password-free login, and then do cross-node password-free loginThe result of the configuration is 201-->202,201-->203, if the opposite is necessary, the main reverse process is repeated above7. All nodes are configured identicallyCopy Compressed PackageScp-r ~/hadoop-1.2.1.tar.gz [Email protected]:~/ExtractTAR-ZXVF hadoo
", followed by a byte indicating the version "seq4" and "seq6". // I forgot how to handle it. I will explain it in detail later.* Keyclass name* Valueclass name* Indicates whether the compression Boolean storage compression value has been changed to the Keys/values value.* The blockcompression Boolean storage indicates whether the Full compression mode is changed to the Keys/values value.* Compressor compression processing type. For example, hadoop th
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 b
This is primarily a simple operation of the files in HDFs in Hadoop, you can add files on your own, or upload a file operation experiment directly.Go no code as follows:Package Hadoop1;import Java.io.fileinputstream;import java.io.ioexception;import java.io.inputstream;import Java.net.malformedurlexception;import Java.net.url;import Org.apache.hadoop.conf.configuration;import Org.apache.hadoop.fs.fsdataoutp
Introduction to the Hadoop file systemThe two most important parts of the Hadoop family are MapReduce and HDFs, where MapReduce is a programming paradigm that is more suitable for batch computing in a distributed environment. The other part is HDFs, the Hadoop Distributed File
Code test environment: hadoop2.4
Application Scenario: this technique can be used to customize the output data format, including the display form, output path, and output file name of the output data.
Hadoop's built-in output file formats include:
1) fileoutputformat
2) textoutputformat
3) sequencefileoutputformat
4) multipleoutputs
5) nulloutputformat
6) lazyoutputformat
Steps:
Similar to the input d
line:readlines) {create.write (Line.getbytes ()); } fileinputstream.close (); } create.close ();Hadoop ArchiveThe Hadoop Archives (HAR files) was introduced in version 0.18, 0, to alleviate the problem of large numbers of small files consuming namenode memory. The Har file works by building a hierarchical file
Uploading files using Hadoop HDFs dfs-put XXX17/12/08 17:00:39 WARN HDFs. Dfsclient:datastreamer Exceptionorg.apache.hadoop.ipc.RemoteException (java.io.IOException): file/user/sanglp/ Hadoop-2.7.4.tar.gz._copying_ could only is replicated to 0 nodes instead of minreplication (=1). There is 0 Datanode (s) running and no node (s) is excluded in this operat
Using Hadoop MapReduce has been a bit of a while, and recently started writing some of your own base libraries. Hadoop file operations are essential operations, and the use of file manipulation commands is often cumbersome, so a simple class is written. Because their base libraries are written according to their own pr
After using Cygwin to install Hadoop, enter the command
./hadoop version
The following error occurred
./hadoop:line 297:c:\java\jdk1.6.0_05\bin/bin/java:no such file or directory
./hadoop:line 345:c:\java\jdk1.6.0_05\bin/bin/java:no such file or directory
./hadoop:line 345:exec:c:\java\jdk1.6.0_05\bin/bin/java:canno
:82) at Org.apache.hadoop.io.retry.RetryInvocationHandler.invoke (retryinvocationhandler.java:59) at $Proxy 1.addBlock ( Unknown Source) at Org.apache.hadoop.hdfs.dfsclient$dfsoutputstream.locatefollowingblock (dfsclient.java:3104) at Org.apache.hadoop.hdfs.dfsclient$dfsoutputstream.nextblockoutputstream (dfsclient.java:2975) at org.apache.hadoop.hdfs.dfsclient$dfsoutputstream.access$2000 (dfsclient.java:2255) at Org.apache.hadoop.hdfs.dfsclient$dfsoutputstream$datastreamer.run (dfsclient.java:2
Shell script -- run hadoop on linux terminal -- the java file is saved as test. sh. the java file is wc. java, [Note: It will be packaged into 1. jar, the main function class is wc, the input directory address on hdfs is input, and the output directory address on hdfs is output [Note: the input directory and output directory are not required] www.2cto.com run :.
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