monitoring hadoop cluster with nagios

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Select the right hardware for your Hadoop Cluster

recommend that you install Cloudera Manager on a Hadoop cluster, which provides real-time statistics on CPU, hard disk, and network load. (Cloudera Manager is a component of Cloudera Standard Edition and Enterprise Edition. The Enterprise Edition also supports rolling upgrade.) After Cloudera Manager is installed, the Hadoop administrator can run MapReduce tasks

Trouble analysis and automatic repair of Hadoop cluster hard disk

report hardware components and corresponding failure rate status graph:Can obviously see the hard disk failure rate of the highest, reached 84%, so for operation and maintenance, if you can count the failure cases in peacetime work, and write them as an automated repair script, it will have great significance.If you can see a little further, you can think: can you make a hardware fault detection and repair system? (requires the cooperation of hardware manufacturers), I only do this here, if you

Hadoop Cluster CDH System setup (i.)

First of all, to ask, what is CDH?To install a Hadoop cluster that deploys 100 or even 1000 servers, package I including hive,hbase,flume ... Components, a day to build the complete, there is to consider the system after the update asked questions, then need to CDH Advantages of the CDH version:Clear Version DivisionFaster version updateSupport for Kerberos security authenticationDocument Clarity (Official

Ganglia configuration for monitoring system and Hadoop performance

8649239.2. 11.71 }Modified to:/**/239.2. 11.71 8649239.2. 11.71 }2. Configure gmetad.confVim/etc/ganglia/gmetad.confData_source "My cluster" localhostModified to:Data_source "My Cluster" 192.168.10.128:86493. Restart Service required:/etc/init.d/ganglia-Monitor Restart/etc/init.d/Gmetad restart/etc/init.d/apache2 restartIf you encounter a situation where apache2 cannot be restartedVim/etc/apache2/apache2

Nutch+hadoop Cluster Construction (reprint)

java_home=/path/to/java command in console2 storing the data to be retrieved in HDFs$ bin/hadoop fs-put Urldir UrldirNote: The first Urldir is a local folder, a URL data file is stored, one URL per lineThe second urldir is a storage path for HDFs3 Starting the Nutch commandExecute the following command under the Nutch_hone/runtime/deploy directory$ bin/nutch Crawl Urldir–dir crawl-depth 3–topn 10After the command executes successfully, the crawl dire

Summary of Hadoop monitoring methods

Contact Hadoop has been 1.5, during the accumulation of some hadoop operations experience, has always wanted to develop a Hadoop monitoring system, just recently the laboratory has a related project, took the opportunity to study a bit, here to summarize the Hadoop

Spark tutorial-Build a spark cluster-configure the hadoop pseudo distribution mode and run the wordcount example (1)

configuration file are: Run the ": WQ" command to save and exit. Through the above configuration, we have completed the simplest pseudo-distributed configuration. Next, format the hadoop namenode: Enter "Y" to complete the formatting process: Start hadoop! Start hadoop as follows: Use the JPS command that comes with Java to query all daemon processes: Star

JMX monitoring for Hadoop and HBase Clusters

Speaking of Hadoop and HBase Cluster Monitoring, we all know and use third-party monitoring tools, such as cacti, ganglia, and zabbix. Zenoss is used for playing more deeply. These tools are indeed good and can play a major role, but after a long time, I always feel that the monito

"Hadoop Distributed Deployment Five: distribution, basic testing and monitoring of distributed deployments"

cannot start yarn on the namenode, yarn should be started on the machine where the Resoucemanager is located.4. Test the MapReduce programFirst create a directory to hold the input data command: Bin/hdfs dfs-mkdir-p/user/beifeng/mapreduce/wordcount/input        Upload file to File system command: Bin/hdfs dfs-put/opt/modules/hadoop-2.5.0/wc.input/user/beifeng/mapreduce/wordcount/input         Use the command to see if the file uploaded successfully c

[Translation] ambari: Introduction to hadoop configuration, management, and monitoring projects

Link: http://hortonworks.com/kb/get-started-setting-up-ambari/ Ambari is 100% open source and supported ded in HDP, greatly simplifying installation and initial configuration of hadoop clusters. in this article we'll be running through some installation steps to get started with ambari. most of the steps here are covered in the main HDP documentation here. Ambari is a 100% open-source project that is included in the HDP platform and allows you to

Hadoop jar configuration uses JMX for remote JVM monitoring

-dcom.sun.management.jmxremote.port=1499 $HADOOP _client_opts " This will open a port on the machine executing the Hadoop jar, which is determined by the -dcom.sun.management.jmxremote.port=1499 parameter.2. Start a mapreduce program, bash-4.1$ Hadoop jar /home/yanliming/workspace/mosaictest/videomapreduce/ videomapreduce-1.0-snapshot.jar/tmp/yanliming/wildlif

Hadoop Web monitoring interface setting security mechanism

Hadoop cluster configuration completed, the Web monitoring interface 50070 and 50030 ports without user authentication can be accessed, the production environment is not allowed, need to add security mechanisms.Experimental environment: Os:centos 6.5 x64, Soft:hadoop 1.2.11, modify the Core-site.xml, add the following, the configuration is completed after the cop

Ganglia Hadoop-related monitoring configuration and metrics

possibleRpc. Number of times the detailed-metrics.reportDiagnosticInfo_num_ops reports task error messages to the parent processRpc. Average time for the detailed-metrics.startBlockRecovery_avg_time to start block recoveryRpc. Number of times the detailed-metrics.startBlockRecovery_num_ops starts to recover the blockRpc. The average time that the detailed-metrics.statusUpdate_avg_time reports the progress of the child process to the parent processRpc. The number of times the detailed-metrics.st

"Go" Hadoop cluster add disk step

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

Hadoop Task Monitoring implementation

hadoop1.0.4,struct2.3. This project is modeled after the Hadoop 50030 monitoring interface to obtain task information and display it. Works can be downloaded in http://download.csdn.net/detail/fansy1990/6737451. First, look at the effect of it: 1. Running tasks: From the above can be seen Jobid for job_201312181939_0002 is running; 2. Failed to run: The above can be seen job_201312181939_0004 run failure,

Hadoop node "slow disk" monitoring

Preface Recently solved a slow disk problem in the work, personally feel the whole discovery-analysis-solution process is very interesting and meaningful. and disk monitoring in the current Hadoop is still not doing a very full, most of the datanode, it can be said that this is 1 blind zone. Actually think about it, Hadoop itself does not do this kind of

Fluentd combined with Kibana, elasticsearch real-time search to analyze Hadoop cluster logs

elasticsearch-0.90.5/config/elasticsearch.yml Delete Cluster.name previous comment, modify cluster name Cluster.name:es_cluster Delete the pre-node.name comment, modify the name of the node, and do not modify it, the system will generate the node name immediately after startup. Node.name: "Elastic_inst1" Node.master:true set the node as the primary node 192.168.0.2 Editing files VI elasticsearch-0.90.5/config/elasticsearch.yml Delete Cluster.name p

Linux on zookeeper cluster installation and monitoring __linux

Zookeeper is a full-fledged subproject of Hadoop, a reliable coordination system for large distributed systems, with features such as configuration maintenance, name services, distributed synchronization, group services, and so on. Zookeeper's goal is to encapsulate complex and error-prone key services, delivering easy-to-use interfaces and high-performance, functionally stable systems to users. 1. Install JDK Steps omitted, not clear Baidu a bit. 2.

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