[jobMainClass] [jobArgs]
Killing a running JOB
Hadoop job-kill job_20100531_37_0053
More HADOOP commands
Hadoop
You can see the description of more commands:
Namenode-format the DFS filesystem
Secondarynamenode run the DFS secondary namenode
Namenode run the DFS namenode
Datanode run a DFS datanode
Dfsadmin run a DFS admin client
Fsck run a DFS filesystem checki
1. Hadoop Java APIThe main programming language for Hadoop is Java, so the Java API is the most basic external programming interface.2. Hadoop streaming1. OverviewIt is a toolkit designed to facilitate the writing of MapReduce programs for non-Java users.Hadoop streaming is a programming tool provided by Hadoop that al
n is not a positive long integer, the directory does not exist or the file name, or the directory exceeds the quota, an error report will be generated.* Dfsadmin-clrquota Delete a quota for each directory. This command will try on each directory. If the directory does not exist or is a file, an error report will be generated. If no quota is set in the directory, no error is returned.* FS-count-q The-Q option is used to report the quota set for each directory and the remaining quota. If no quota
Brief introduction
We studied in Hadoop: (i)--hdfs introduction has said, HDFs is not good at storing small files, because each file at least one block, the metadata of each blocks will occupy the Namenode node memory, if there are such a large number of small files, they will eat Namenode a large amount of memory for a node.
Hadoop archives can effectively handle the above issues, he can file a number of
Not much to say, directly on the dry goods!GuideInstall Hadoop under winEveryone, do not underestimate win under the installation of Big data components and use played Dubbo and disconf friends, all know that in win under the installation of zookeeper is often the Disconf learning series of the entire network the most detailed latest stable disconf deployment (based on Windows7 /8/10) (detailed) Disconf Learning series of the full network of the lates
Directory structure
Hadoop cluster (CDH4) practice (0) PrefaceHadoop cluster (CDH4) Practice (1) Hadoop (HDFS) buildHadoop cluster (CDH4) Practice (2) Hbasezookeeper buildHadoop cluster (CDH4) Practice (3) Hive BuildHadoop cluster (CHD4) Practice (4) Oozie build
Hadoop cluster (CDH4) practice (0) Preface
During my time as a beginner of
Wang Jialin's in-depth case-driven practice of cloud computing distributed Big Data hadoop in July 6-7 in Shanghai
Wang Jialin Lecture 4HadoopGraphic and text training course: Build a true practiceHadoopDistributed Cluster EnvironmentHadoopThe specific solution steps are as follows:
Step 1: QueryHadoopTo see the cause of the error;
Step 2: Stop the cluster;
Step 3: Solve the Problem Based on the reasons indicated in the log. We need to clear th
Take Hadoop 2.7.3 as an exampleThe bin directory is the most basic cluster management script that allows users to perform various functions, such as HDFS management, MapReduce job management, and so on.As a primer, first describe how Hadoop scripts are used in the bin directory, as follows: Refer to the Hadoop Command Reference on the websiteUsage:hadoop [--conf
[Hadoop] how to install Hadoop and install hadoop
Hadoop is a distributed system infrastructure that allows users to develop distributed programs without understanding the details of the distributed underlying layer.
Important core of Hadoop: HDFS and MapReduce. HDFS is res
This document describes how to operate a hadoop file system through experiments.
Complete release directory of "cloud computing distributed Big Data hadoop hands-on"
Cloud computing distributed Big Data practical technology hadoop exchange group:312494188Cloud computing practices will be released in the group every day. welcome to join us!
First, let's loo
This article mainly analyzes important hadoop configuration files.
Wang Jialin's complete release directory of "cloud computing distributed Big Data hadoop hands-on path"
Cloud computing distributed Big Data practical technology hadoop exchange group: 312494188 Cloud computing practices will be released in the group every day. welcome to join us!
Wh
Pre-language: If crossing is a comparison like the use of off-the-shelf software, it is recommended to use the Quickhadoop, this use of the official documents can be compared to the fool-style, here do not introduce. This article is focused on deploying distributed Hadoop for yourself.1. Modify the machine name[[email protected] root]# vi/etc/sysconfig/networkhostname=*** a column to the appropriate name, the author two machines using HOSTNAME=HADOOP0
object's Open method returns the Fsdatainputstream object, It inherits the DataInputStream. He supports random access and can read data from anywhere in the stream.
· Create directory: Mkdirs method for FileSystem
· Querying file System: FileSystem Filestatus, listing files: liststatus, wildcard query: Globstatus, you can use regular expressions with Pathfilter objects to locate files precisely.
· Delete File: FileSystem Delete method.
File Read profiling
Chapter 1 Meet HadoopData is large, the transfer speed is not improved much. it's a long time to read all data from one single disk-writing is even more slow. the obvious way to reduce the time is read from multiple disk once.The first problem to solve is hardware failure. The second problem is that most analysis task need to be able to combine the data in different hardware.
Chapter 3 The Hadoop Distributed FilesystemFilesystem that manage storage h
Build a Hadoop Client-that is, access Hadoop from hosts outside the Cluster
Build a Hadoop Client-that is, access Hadoop from hosts outside the Cluster
1. Add host ing (the same as namenode ing ):
Add the last line
[Root @ localhost ~] # Su-root
[Root @ localhost ~] # Vi/etc/hosts127.0.0.1 localhost. localdomain localh
1 Creating Hadoop user groups and Hadoop users STEP1: Create a Hadoop user group:~$ sudo addgroup Hadoop STEP2: Create a Hadoop User:~$ sudo adduser-ingroup Hadoop hadoopEnter the password when prompted, this is the new
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