hadoop 50070

the log is retained (in seconds) Configuration item 11, log check time Configuration item 12, directory Configuration item 13, directory prefix Mapred-site.xml does not have mapred-site.xml, enter VI mapred-Press "tab" to find Mapred-site.xml.template, copy the file CP mapred-site.xml.template mapred-site.xml Configuration item 1,mapreduce Framework Configuration item 2,mapreduce communication port Configuration item 3,mapreduce as Industry history Port Configuration item 4,mapreduce

variable under/etc/profile plus Export path= $PA Th:/home/zookeeper/bin Save, run source/etc/profile Copy configuration files to two other node Scp/etc/profile root@ node2:/etc/ Scp/etc/profile root@node3:/etc/ Run Source/etc/profile 6) Start Shutdown Firewall service iptables stopStartzkserver.sh start5. Deployment 1) Start the node2,3,4 journalnodeInto the/home/hadoop-2.5.2/sbin/.Run./hadoop-d

Hadoop cannot be started properly (1) Failed to start after executing $ bin/hadoop start-all.sh. Exception 1 Exception in thread "Main" Java. Lang. illegalargumentexception: Invalid URI for namenode address (check fs. defaultfs): file: // has no authority. Localhost: At org. Apache. hadoop. HDFS. server. namenode. namenode. getaddress (namenode. Java: 214) Localh

block spread out. If the version is inconsistent between two clusters, using HDFS may cause an error because the RPC system is incompatible. Then you can use the HFTP protocol based on the HTTP protocol, but the destination address must also be hdfs, like this: Hadoop distcp hftp://namenode:50070/user/hadoop/input HDFS://NAMENODE:9000/USER/

1. What is a distributed file system? A file system stored across multiple computers in a management network is called a distributed file system. 2. Why do we need a distributed file system? The reason is simple. When the data set size exceeds the storage capacity of an independent physical computer, it is necessary to partition it and store it on several independent computers. 3. distributed systems are more complex than traditional file systems Because the Distributed File System arc

commands: $ Start-all.sh In fact, this script calls the above two commands. The local computer starts three Daemon Processes: One namenode, one secondary namenode, and one datanode. You can view the log files in the logs directory to check whether the daemon is successfully started, or view jobtracker at http: // localhost: 50030/or at http: // localhost: 50070/view namenode. In addition, the JPS command of Java can also check whether the daemon is r

[Linux] [Hadoop] Run hadoop and linuxhadoop The preceding installation process is to be supplemented. After hadoop installation is complete, run the relevant commands to run hadoop. Run the following command to start all services: hadoop@ubuntu:/usr/local/gz/

First explain the configured environmentSystem: Ubuntu14.0.4Ide:eclipse 4.4.1Hadoop:hadoop 2.2.0For older versions of Hadoop, you can directly replicate the Hadoop installation directory/contrib/eclipse-plugin/hadoop-0.20.203.0-eclipse-plugin.jar to the Eclipse installation directory/plugins/ (and not personally verified). For HADOOP2, you need to build the jar f

Why is the eclipse plug-in for compiling Hadoop1.x. x so cumbersome? In my personal understanding, ant was originally designed to build a localization tool, and the dependency between resources for compiling hadoop plug-ins exceeds this goal. As a result, we need to manually modify the configuration when compiling with ant. Naturally, you need to set environment variables, set classpath, add dependencies, set the main function, javac, and jar configur

-declipse.home=/home/wu/opt/eclipse-dversion=1.0.1 jar Once the compilation is complete, you can find the Eclipse plugin.3. Installation Steps(1) Pseudo-distributed configuration process is also very simple, only need to modify a few files, in the code of the Conf folder, you can find the following configuration files, the specific process I will not say, here list my configuration:Core-site.xmlHdfs-site.xmlMapred-site.xmlGo to the Conf folder, modify the configuration file:

NameNode at localhost/127.0.0.1************************************************************/An exit status of 0 indicates that the initialization succeeded, and if 1 indicates that the format failed.Then open the daemon for the named node and the data node:After the boot is complete, enter the JPS command to see if the startup is successful, and if successful, you will see 3 processes:Jps、NameNode, DataNode andSecondaryNameNodeAfter successful startup, you can access the Web interface http://lo

/datavalue> Property>Configuration>Run Hadoop after the configuration is complete.Four. Run hadoop4.1 to initialize the HDFS systemExecute the command in the hadop2.7.1 directory:Bin/hdfs Namenode-formatThe following results show that the initialization was successful.4.2 OpenNameNodeAndDataNodeDaemon processExecute the command in the hadop2.7.1 directory:sbin/start-dfs.shSuccess is as follows:4.3 Use the JPS command to view process information:If the

simultaneously: Mapred. tasktracker. map. tasks. maximum = 8 Mapred. tasktracker. reduce. tasks. maximum = 6 Ssh configuration (so that it can log on via ssh without a password, that is, through certificate authentication) Sh-keygen-t dsa-p'-f ~ /. Ssh/id_dsa Cat ~ /. Ssh/id_dsa.pub> ~ /. Ssh/authorized_keys Note: connect to host localhost port 22: Connection refused Make sure that ssh runs normally when running hadoop. There may be multiple cause

/etc/hadoop[Root @ localhost hadoop] # hadoop-env.sh vi Export java_home =/opt/jdk1.6.0 _ 31 [Root @ localhost hadoop] # core-site.xml vi [Root @ localhost hadoop] # hdfs-site.xml vi [Root @ localhost hadoop