After the hadoop cluster is started, run the JPS command to view the process. Only the tasktracker process is found on the datanode node, as shown in.
Master process:Two Slave node processes found that there was no datanode process on the salve node. after checking the log, we found that the data directory permission on datanode is 765, and the expected permission is 755. Therefore, we use the CHMOD 755 Da
This article describes the configuration method for using the HDFs Java API.1, first solve the dependence, pomDependency> groupId>Org.apache.hadoopgroupId> Artifactid>Hadoop-clientArtifactid> version>2.7.2version> Scope>ProvidedScope> Dependency>2, configuration files, storage HDFs cluster configuration information, basically from Core-site.xml and Hdfs-sit
Most Hadoop clusters adopt Kerberos as the authentication protocolInstalling the KDC
Starting Kerberos authentication requires the installation of the KDC server and the necessary software. The command to install the KDC can be executed on any machine.
Yum-y Install krb5-server krb5-lib krb5-auth-dialog krb5-workstation
Next, install the Kerberos client and the command on the other nodes in the
failures or to recover automatically from failures without the need for operator intervention. By moving applications on a failed server to a backup server, the cluster system can increase uptime to more than 99.9%, significantly reducing server and application downtime.High manageability: System administrators can remotely manage one or even a group of clusters as if they were in a standalone system."Disadvantage"We know that the application in the
org.apache.hadoop.ipc.Client:Retrying Connect to server:0.0.0.0/0.0.0.0:8031. Already tried 7 time (s); Retry policy is Retryuptomaximumcountwithfixedsleep (maxretries=10, sleeptime=1000 MILLISECONDS) 2017-06-05 09:49:46,472 INFO org.apache.hadoop.ipc.Client:Retrying Connect to server:0.0.0.0/0.0.0.0:8031. Already tried 8 time (s); Retry policy is Retryuptomaximumcountwithfixedsleep (maxretries=10, sleeptime=1000 MILLISECONDS) 2017-06-05 09:49:47,474 INFO org.apache.hadoop.ipc.Client:Retrying C
When using virtual machine to build hadoop cluster core-site.xml file error, how to solve ?,When using virtual machine to build hadoop cluster core-site.xml file error, how to solve? Problem: errors in core-site.xml files
The value here cannot be in the/tmp folder. Otherwise, datanode cannot be started when the inst
Transferred from: http://blog.csdn.net/huyuxiang999/article/details/17691405First, the experimental environment:1, Hardware: 3 Dell Servers, CPU:2.27GHZ*16, Memory: 16GB, one for master, and the other 2 for slave.2, the system: all CentOS6.33, Hadoop version: CDH4.5, the use of the MapReduce version is not yarn, but Mapreduce1, the entire cluster under Cloudera Manager monitoring, configuration is also thro
Ann to HadoopMy installation path is software under the root directoryUnzip the Hadoop package into the software directoryView directory after decompressionThere are four configuration files to modifyModify Hadoop-env.shModify the Core-site.xml fileConfigure Hdfs-site.xmlConfigure Mapred-site.xmlCompounding Yarn-site.xmlCompounding slavesFormat HDFs File systemSuccess InformationStart HadoopCommand JPS to s
Enter HDUser user EnvironmentA. Su-hduserB. TAR-ZXF hadoop.2.2.0.tar.gzC. ln-s hadoop-2.2.0/
Editing environment variablesVim ~/.BAHSRC
modifying system parametersA. Turn off the firewallService Iptables StopChkconfig iptables offVim/etc/selinux/configChange into disabledSetenforce 0Service Iptables StatusB. Modifying the maximum number of open files1) vim/etc/security/limits.conf
Sometimes it may be necessary to remove Datanode from the Hadoop cluster because of a temporary adjustment, as follows:
First add the machine name of the node you want to delete in/etc/hadoop/conf/dfs.exclude
In the console page, you see a dead datanodes
To refresh node information using commands:
[HDFS@HMC ~]$ Hadoop
(0.00sec) mysql>insertintot2 VALUES (1, ' Lisan '); queryok,1rowaffected (0.00sec) mysql>select*from t2;+------+-------+|id| name|+------+-------+|1|lisan|+------+-------+1 rowinset (0.00NBSP;SEC)View the T2 table on 204:Mysql> SELECT * FROM t2;+------+-------+|ID |Name |+------+-------+|1 | Lisan |+------+-------+1 row in Set (0.00 sec)When you see the results above, the distributed MySQL data is successfully synchronized.Problems encountered during installation:1, unable to connect with conne
Fluentd is an open source collection event and log system that currently offers 150 + extensions that let you store big data for log searches, data analysis and storage.
Official address http://fluentd.org/plugin address http://fluentd.org/plugin/
Kibana is a Web UI tool that provides log analysis for ElasticSearch, and it can be used to efficiently search, visualize, analyze, and perform various operations on logs. Official Address http://www.elasticsearch.org/overview/kibana/
Elasticsearch is
Baidu's high-performance computing system (mainly backend data training and computing) currently has 4000 nodes, more than 10 clusters, and the largest cluster Scale is more than 1000 nodes. Each node consists of 8-core CPU, 16 GB memory, and 12 TB hard disk. The daily data volume is more than 3 PB. The planned architecture will have more than 10 thousand nodes, and the daily data volume will exceed 10 pb.The underlying computing resource management l
Recently using vagrant to build a Hadoop cluster with 3 hosts, using Cloudera Manager to manage it, initially virtualized 4 hosts on my laptop, one of the most Cloudera manager servers, Several other running Cloudera Manager Agent, after the normal operation of the machine, found that the memory consumption is too strong, I intend to migrate two running Agent to another working computer, then use the Vagant
automatically shutdown, do not know whether it is the OS problem or SSH problem or Kafka own problems, Anyway, I switched to-daemon mode to start Kafka without automatically shutdown after disconnecting the shell.
4) Create a topic named Test with two partitions and two replicas:bin/kafka-topics.sh--create--zookeeper 10.0.0.100:2181,10.0.0.101:2181,10.0.0.102:2181--replication-factor 2-- Partitions 2--topic TestOnce created, use the following command to view the topic status:bin/kafk
1. Introduction to the MapReduce theory1.1. MapReduce Programming ModeMapReduce uses the idea of "divide and conquer", distributes the operation of large data sets to a node under the management of a master node, and then obtains the final result by consolidating the intermediate results of each node. In short, MapReduce is "the decomposition of tasks and the aggregation of results".In Hadoop, there are two machine roles used to perform mapreduce task
-scripts/ifcfg-eth0(4) Restart the virtual machine in effect 4. Using Xshell client to access virtual machine Xshell is a particularly useful Linux remote client, with many quick features that are much more convenient than simply manipulating commands in a virtual machine.(1) Download and install Xshell(2) Click on the menu bar--New, enter the name and IP address of the virtual machine and determine(3) Accept and save(4) Enter user name and password (auto-save)At this point, three virtual machin
There was an article in detail about how to install Hadoop+hbase+zookeeper
The title of the article is: Hadoop+hbase+zookeeper distributed cluster construction perfect operation
Its website: http://blog.csdn.net/shatelang/article/details/7605939
This article is about hadoop1.0.0+hbase0.92.1+zookeeper3.3.4.
The installation file versions are as follows:
Please
is message51 Can see, re-election after the consumer end also output some logs, meaning that when the offset was submitted found that the current scheduler has been invalidated, but quickly regained the new effective scheduler, the automatic return of the offset auto-commit, Verifying the value of the submitted offset also proves that the offset submission did not cause an error due to leader switching.As above, we also verified the function correctness of the consumer terminal when the single
Hadoopnamenode vs RM
Small clusters: Namenode and RM can be deployed on a single node
Large clusters: Because Namenode and RM have large memory requirements, they should be deployed separately. If deployed separately, ensure that the contents of the slaves file are the same, so that the NM and DN can be deployed on one node
PortA port number of 0 instructs the server to start in a free port, but this is generally discouraged because it is incompati ble with setting
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