hadoop monitoring best practices

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

My company encountered a firewall fault recently, which caused the company to go down for several hours. Fortunately, we have a backup device that can be replaced. However, what suggestions or best practices do you have to properly manage unpredictable firewall failures? Brad Casey:For firewall faults, I suggest two words: redundancy and monitoring. Redundancy:This not only involves replacing the backup d

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 monitoring granularity is still relatively c

Within Hadoop is a resource-monitoring module that includes the following two: Metrics* and Jmx/jmxjsonservlet In fact, notice that in the Metrics2/util/mbeans, there is a sentence: Final Mbeanserver mbs = Managementfactory.getplatformmbeanserver (); It is also observed to comply with the JMX standard. Simply put, jmx/jmxjsonservlet through the built-in jetty access to JMX Mbeanserver (its init () funct

Java Web concurrency: for update practices, monitoring and solving ., Javawebupdate Writer: BYSocket) Weibo: BYSocket Douban: BYSocket I. Preface We have been talking about concurrency. At present, there are two common practices: Lock Mechanism: 1. pessimistic lock; 2. Optimistic lock. However, this article is mainly used to record my processing experience. In ad

-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

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

Two days to organize the Hadoop+ganalia monitoring system.Virtual Machines 3 CentOS 6.5192.168.24.192 H1 Namenode Gmond192.168.24.190 H2 Datanode ganalia monitoring Ganalia-web Gmetad Gmond192.168.24.189 H2 Datanode GmondSoftware downloadconfuse-2.7 http://www.nongnu.org/confuse/Http://sourceforge.net/projects/ganglia/files/?source=navbarGmondYum install gcc Apr

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 copy to the other nodes.2, in the above configur

Environment: centos6.7 | zabbix3.2.4 | hadoop2.6.0Main monitoring process: Journalnode |Namenode |ZKFC | DatanodeMonitoring script: hadoop.sh#!/bin/bashserver=$1case $server injournalnode) /etc/init.d/hadoop-hdfs-journalnodestatus >>/dev/null2>1 echo$? ;; namenode) /etc/init.d/ hadoop-hdfs-namenodestatus>>/dev/null2>1 echo$? ;; NBSP;NBSP;ZKFC) /etc/init.d/zookee

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,

milliseconds Mapred.healthChecker.script.timeout If the monitoring script does not respond within a certain amount of time, it is set to unhealthy Mapred.healthChecker.script.args Monitor script parameters, if there are multiple parameters separated by commas Example: Print the statement at the beginning of an error when the idle memory of a node is less than 10% of the total amount of memory.#! /bin

。 Here you can see just a simple section of SQL. Almost can't see what task is running in detail.At this point can open a application. Click Tracking URL:applicationmasterGo to the MapReduce Job job_1409xxxx,job pageClick on the left side of the configurationThere are all the corresponding parameters for this job. In the search box in the upper-right corner, type string,Where key is hive.query.string the corresponding value value is the complete hive SQL language.I haven't seen the

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

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

, you can only see a simple section of SQL, almost no specific tasks to perform.At this point you can open a application, click TrackingURL: ApplicationmasterGo to the MapReduce Job job_1409xxxx,job pageClick Configuration on the leftHere are all the parameters for this job, enter string in the search box in the upper-right corner,Where key is the value of hive.query.string the complete hive SQL language.I haven't seen the Hadoop

Company infrastructure this side wants to extract slow jobs and learn about the waste of resources, so install a Dr Elephant look. Linkin Open Source System provides performance analysis and tuning recommendations for yarn-based Mr and spark jobs.Most of Dre is based on Java development, and the Spark Monitoring section is developed using Scala, using the play stack-up framework. This is a python-like framework, based on Java?scala? Not too thin to un