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Hadoop mapreduce jar File Upload When submitting a job, we often execute a command similar to the following: Hadoop jar Wordcount.jar test. WordCount, and then wait for the job to complete to see the results. In the job execution process, the client uploads the jar file into
(CONF) ;} This . jobsubmitclient = createrpcproxy (jobtracker. getaddress (CONF), conf) ;}// the class corresponding to jobsubmitclient is one of the implementations of jobsubmissionprotocol (currently there are two implementations, jobtracker and localjobrunner) 3.3 submitjobinternal Function Public Runningjob submitjobinternal (jobconf job) {jobid = jobsubmitclient. getnewjobid (); Path submitjobdir = New PATH (getsystemdir (), jobid. tostring ())
There are three job scheduling algorithms in Hadoop cluster, FIFO, fair scheduling algorithm and computing ability scheduling algorithm.First -Come-first service (FIFO)Default Scheduler in HadoopFIFO, it first according to the priority level of the job, and then according to the time of arrival to choose the job to be
Hadoop collects job execution status information. A project needs to collect information about the execution status of hadoop jobs. I have provided the following solutions: 1. obtain the required information from jobtracker. jsp provided by hadoop. One problem encountered here is that the application scope is used. Job
Http://www.cnblogs.com/spork/archive/2010/04/21/1717592.html After the analysis in the previous article, we know whether the hadoop job is submitted to cluster or local, which is closely related to the configuration file parameters in the conf folder, many other classes are related to Conf, so remember to put conf in your classpath when submitting a job. B
Hadoop Collection Job execution status information a project needs to collect information about the execution status of the Hadoop job, and I have given the following resolution strategies: 1, from the jobtracker.jsp provided by Hadoop to obtain the required information, h
Hadoop. Job. ugi no longer takes effect after clouder cdh3b3 starts! After several days, I finally found the cause. In the past, the company used the original hadoop-0.20.2, using Java to set hadoop. Job. ugi for the correct hadoop
For Hadoop multi-job Task parallel processing, tested and configured as follows: First do the following configuration: 1. Modify Mapred-site.xml Add Scheduler configuration: 2. Add jar file address configuration: Java Basic code is as follows: Get each job, the job creation, here is not posted.
Hadoop provides multioutputformat to output data to different directories and Fileinputformat to read multiple directories at once, but the default one job can only use Job.setinputformatclass Set up to process data in one format using a inputfomat. If you need to implement the ability to read different format files from different directories at the same time in a job
In the recent period, we found that the Mr Jobs with many analyses were delayed by 1 hour to 2 hours. In fact, it may only take 20 minutes for that job. Analyze the job status and find that the delay is in the cleanup stage of the job. In the recent period, due to user growth and soaring data, more and more cluster jobs have been created, and the slots occupied b
Http://www.cnblogs.com/spork/archive/2010/04/11/1709380.html In the previous article, we analyzed the bin/hadoop script and learned the Basic settings required for submitting a hadoop job and the class for truly executing the task. In this article, we will analyze the class org. Apache. hadoop. util. runjar for submi
Reprinted famous articles from: http://blog.csdn.net/lsttoy/article/details/52400193Recently, the job of Hadoop was implemented and three questions were found. Basic condition: Both name server and node server are normal. WebUI shows are OK, all live. one of the execution phenomena : Always job running, no response.16/09/01 09:32:29 INFO MapReduce. Job:running jo
In the previous blog, we introduced the hadoop Job scheduler. We know that jobtracker and tasktracker are the two core parts in the hadoop job scheduling process. The former is responsible for scheduling and dispatching MAP/reduce jobs, the latter is responsible for the actual execution of MAP/reduce jobs and communica
Prompt for problems:Exception in thread "main" java.io.IOException:Error opening job jar:/home/deploy/recsys/workspace/ouyangyewei/ Recommender-dm-1.0-snapshot-lib at org.apache.hadoop.util.RunJar.main (runjar.java:90) caused by: Java.util.zip.ZipException:error in opening zip file @ java.util.zip.ZipFile.open (Native Method) at Java.util.zip.zipfile.Dispatch command:Hadoop jar Recommender-dm_fat.jar Com.yhd.ml.statistics.category
hadoop 2.0 (both HDFS ha and mapreduce ha adopt this framework), it is universal. Cloudera divides minor versions by patch level. For example, if patch level is 923.142, 1065 patches are added based on the original Apache hadoop 0.20.2 (these patches are contributed by various companies or individuals, records are recorded on hadoop Jira). Among them, 923 are pa
What is a complete mapreduce job process? I believe that beginners who are new to hadoop and who are new to mapreduce have a lot of troubles. The figure below is from idea. ToThe wordcount in hadoop is used as an example (the startup line is shown below ): Hadoop jars
From physical plan to Map-reduce plan Note: Since our focus is on the pig on Spark for the Rdd execution plan, the backend references after the physical execution plan are not significant, and these sections mainly analyze the process and ignore implementation details. The entry class Mrcompiler,mrcompilier traverses the nodes in the physical execution plan in a topological order, converts them to mroperator, and each mroperator represents a map-reduce job
Bytes/ Data skew refers to map/reduceProgramDuring execution, most reduce nodes are executed, but one or more reduce nodes run slowly, resulting in a long processing time for the entire program, this is because the number of keys of a key is much greater than that of other keys (sometimes hundreds of times or thousands of times). The reduce node where the key is located processes a much larger amount of data than other nodes, as a result, several nodes are delayed. When you use a
of the second column has the lowest value of the optionThen the result should be1 12 13 1But we used to use a custom data type as keyThe default grouping policy for Hadoop is that all keys have the same option as a set ofFor two NewK2 objects to be equal, you must have both first and second attributes equal.Then you need to use a custom grouping policyThe custom grouping classes are as follows:The custom grouping class must implement Rawcomparator, t
1.1)vim/etc/udev/rules.d/ --persistent-Net.rulesVI/etc/sysconfig/network-scripts/ifcfg-Eth0type=Ethernetuuid=57d4c2c9-9e9c-48f8-a654-8e5bdbadafb8onboot=yesnm_controlled=YesBootproto = staticDefroute=Yesipv4_failure_fatal=Yesipv6init=NoNAME="System eth0"HWADDR=xx: 0c: in: -: E6:ecipaddr =172.16.53.100PREFIX= -gateway=172.16.53.2Last_connect=1415175123dns1=172.16.53.2The virtual machine's network card is using the virtual network cardSave Exit X or Wq2)Vi/etc/sysconfig/networkNetworking=yesHostnam
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