1. By default, the Yarn log only displays info and above level information, and it is necessary to display the necessary debug information when the system is developed two times.
2. Configure yarn to print debug information to the log file, just modify its startup script sbin/yarn-daemon.sh, and change the info to debug (this step only).
Export Yarn_root_logger=${yarn_root_logger:-debug,rfa}
3. For HDFs, the modification method is similar, only need to modify the sbin/
Original articles, reproduced please mark from http://blog.csdn.net/lsttoy/article/details/53406840.First, go to Apache to see the official support version
You can see that hadoop2.4.x later versions basically support hbase1.2.4.The installation starts next.
The first step is to download the latest version from the Apache Foundation
Https://mirrors.tuna.tsinghua.edu.cn/apache/hbase/1.2.4/hbase-1.2.4-bin.tar.gz
If you can not go to csdn and other major sites to download.
Step two , unzip to the
Configuration
The following properties should is in the core-site.xml of all the nodes in the cluster.
Hadoop.http.filter.initializers:add to the Org.apache.hadoop.security.AuthenticationFilterInitializer Initializer class.
Hadoop.http.authentication.type:Defines authentication used for the HTTP web-consoles. The Supported values Are:simple | Kerberos | #AUTHENTICATION_HANDLER_CLASSNAME #. The Dfeault value is simple.
Hadoop.http.authentication.token.validity:Indicates how long (in s
High-availability Hadoop platform-Hadoop Scheduling for Oozie Workflow1. Overview
In the "high-availability Hadoop platform-Oozie Workflow" article, I will share with you how to integrate a single plug-in such as Oozie. Today, we will show you how to use Oozie to create related workflows for running and Hadoop. You mu
Several Hadoop daemon and Hadoop daemon
After Hadoop is installed, several processes will appear when jps is used.
Master has:
Namenode
SecondaryNameNode
JobTracker
Slaves has
Tasktracker
Datanode
1.NameNode
It is the master server in Hadoop, managing the file system namespace and accessing the files stored in the
resourcesMaster-Slave structureMaster node, there can be 2: ResourceManagerFrom the node, there are a number of: NodeManagerResourceManager is responsible for:Allocation and scheduling of cluster resourcesFor applications such as MapReduce, Storm, and Spark, the Applicationmaster interface must be implemented to be managed by RMNodeManager is responsible for:Management of single node resourcesVII: The architecture of MapReduceBatch computing model with disk IO dependentMaster-Slave structureMas
Big data: Massive dataStructured data: Data that can be stored in a two-dimensional tableunstructured data: Data cannot be represented using two-dimensional logic of the data. such as word,ppt, picture Semi-structured data: a self-describing, structured and unstructured data that stores the structure with the data itself: XML, JSON, HTMLGoole paper: mapreduce:simplified Date processing on Large Clusters Map: Small data that maps big data to multiple nodes that are segmented
First on the correct run display:Error 1: The variable is intwritable and is receiving longwritable, such as:Reason, write more parameters reporter, such as:Error 2: The array is out of bounds, such as:Cause: The Combine class is set up, such as:Error 3:nullpointerexception exception, such as:Cause: The static variable is null and can be assigned, such as:Error 4: Entering map, but unable to enter reduce, and direct map data output, and no error promptCause: The new and older version of
1 access to Apache Hadoop websitehttp://hadoop.apache.org/2.2. Click image to downloadWe download the 2.6.0 third in the stable version of stableLinux Download , here is an error, we download should be the bottom of the second, which I did not pay attention to download the above 17m .3. Install a Linux in the virtual machineFor details see other4. Installing the Hadoop environment in Linux1. Installing the
Run Hadoop WordCount. jar in Linux.
Run Hadoop WordCount in Linux
Enter the shortcut key of Ubuntu terminal: ctrl + Alt + t
Hadoop launch command: start-all.sh
The normal execution results are as follows:
Hadoop @ HADOOP :~ $ Start-all.sh
Warning: $ HADOOP_HOME is deprecate
Exception Analysis
1. "cocould only be replicated to 0 nodes, instead of 1" Exception
(1) exception description
The configuration above is correct and the following steps have been completed:
[Root @ localhost hadoop-0.20.0] # bin/hadoop namenode-format
[Root @ localhost hadoop-0.20.0] # bin/start-all.sh
At this time, we can see that the five processes jobtracke
Hadoop datanode node time-out settingDatanode process death or network failure caused datanode not to communicate with Namenode,Namenode will not immediately determine the node as death, after a period of time, this period is temporarily known as the timeout length.The default timeout period for HDFs is 10 minutes + 30 seconds. If the definition time-out is timeout, the time-out is calculated as:Timeout = 2 * heartbeat.recheck.interval + ten * dfs.hea
This section mainly analyzes the principles and processes of mapreduce.
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!
You must at least know the following points about mapreduce:
1. map
1. Concept2. ReferencesImprove the MapReduce job Efficiency Note II of Hadoop (use combiner as much as possible): Http://sishuo (k). com/forum/blogpost/list/5829.htmlHadoop Learning notes -8.combiner and custom Combiner:http://www.tuicool.com/articles/qazujavHadoop in-depth learning: combiner:http://blog.csdn.net/cnbird2008/article/details/23788233(mean Scene) 0Hadoop using combiner to improve Map/reduce program efficiency: http://blog.csdn.net/jokes0
from the Agent cannot be received.请确保主机的名称已正确配置。请确保端口 7182 可在 Cloudera Manager Server 上访问(检查防火墙规则)。请确保正在添加的主机上的端口 9000 和 9001 空闲。检查正在添加的主机上 /var/log/cloudera-scm-agent/ 中的代理日志(某些日志可在安装详细信息中找到)。Could not find config file/var/run/cloudera-scm-agent/supervisor/supervisord.confThe solution to this error is:After we have modified our/etc/hosts file, we have to restart the service cloudera-scm-agentService Cloudera-scm-agent Restart8. Cannot be displayed after installing cm9, 7180 interface cannot op
Reference Document http://blog.csdn.net/licongcong_0224/article/details/12972889 Reference document http://www.powerxing.com/install-hadoop/ Reference Document http://www.powerxing.com/install-hadoop-cluster/
Hadoop cluster installation configuration tutorial
Critical: Note that all host names need to be set for specification. You cannot use underscores to ma
Hadoop pseudo-distributed mode configuration and installation
Hadoop pseudo-distributed mode configuration and installation
The basic installation of hadoop has been introduced in the previous hadoop standalone mode. This section describes the basic simulation and deployment of had
1 Hadoop configurationcaveats: Turn off all firewalls
server
ip
system
master
centos 6.0 X64
slave1
10.0.0.11
Centos 6.0 X64
slave2
10.0.0.12
centos 6.0 X64
Hadoop version: hadoop-0.20.2.tar.gz1.1 in master: (Operations
the RM with several HA-related options and switches the Active/standby mode. The HA command takes the RM service ID set by the Yarn.resourcemanager.ha.rm-ids property as the parameter.$ yarn rmadmin-getservicestate rm1 Active $ yarn rmadmin-getservicestate RM2 StandbyIf automatic recovery is enabled, then you can switch commands without having to manually.$ yarn Rmadmin-transitiontostandby rm1 Automatic failover is enabled for [email protected] refusing to manually manage HA State, since it cou
-generated Method StubFile docdirectory=NewFile (Docdirectorypath); if(!docdirectory.isdirectory ()) {System.out. println ("Provide an absolute path of a directory that contains the documents to be added to the sequence file"); return; } /** Sequencefile.writer sequencefilewriter = * Sequencefile.createwriter (FS, Conf, new Path (Sequencefil Epath), * text.class, Byteswritable.class); */org.apache.hadoop.io.SequenceFile.Writer.Option FilePath=sequencefile.writer. File (NewPath (Se
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