0 Basic Learning Hadoop to get started work line guide beginner: Hive and MapReduce: http://www.aboutyun.com/thread-7567-1-1.htmlMapReduce Learning Catalog SummaryMApreduce Learning Guide and Troubleshooting summary : http://www.aboutyun.com/thread-7091-1-1.htmlWhat is map/reduce:http://www.aboutyun.com/thread-5541-1-1.htmlMapreduce whole working mechanism diagram: http://www.aboutyun.com/thread-5641-1-1.h
, 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
(set mapred.reduce.tasks=The data of the output is then merged and sorted so that all results can be obtained.Note: You can use the limit clause to significantly reduce the amount of data. With limit N, the number of data records transferred to the reduce side (stand-alone) is reduced to n (number of maps). Otherwise, the data is too large to be able to produce results.3. Distribute byDivides the data into different output reduce/file according to the specified field.Insert overwrite local dire
For ease of development and commissioning, an Ubuntu 12.04 virtual machine was installed with VirtualBox to run hive and Hadoop inside.
A problem was found during use, running some query in hive, and after a while, the virtual disk space grew rapidly, reaching dozens of G. The virtual disk itself is configured for dynamic growth mode, but the physical disk space
Step OneIf not, do not set up the HBase development environment blog, see my next blog.HBase Development Environment Building (Eclipse\myeclipse + Maven) Step one, need to add. As follows:In the project name, right-click,Then, write Pom.xml, here not much to repeat. SeeHBase Development Environment Building (Eclipse\myeclipse + Maven)When you are done, write the code, right.Step two some steps after the HBase development environment is built (export exported jar package or Ant mode)Here, do not
Compile hive/hadoop Summary
1. Check the README file and compile it according to the instructions;
2. first make sure that the compilation and packaging are successful on the command line, and then executeAnt eclipse-FilesGenerate a file for eclipse, and then you can import it to eclipse (see the http://blog.csdn.net/shuhuai007/article/details/6739847 for details)
3. Modify the value of hadoop_home in th
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1. Download Hadoop source codeSource code of each Hadoop Member: Just pull it out. Note that only the contents in the trunk directory on SVN are checked-out, for example:Http://svn.apache.org/repos/asf/hadoop/common/trunk,Instead of http://svn.apache.org/repos/asf/hadoop/common,The reason is that the http://svn.apache.
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Hadoop has always been the technology I want to learn, just as the recent project team to do e-mall, I began to study Hadoop, although the final identification of Hadoop is not suitable for our project, but I will continue to study, more and more do not press.The basic Hadoop tutor
Reprinted from http://blessht.iteye.com/blog/2095675Hadoop has always been the technology I want to learn, just as the recent project team to do e-mall, I began to study Hadoop, although the final identification of Hadoop is not suitable for our project, but I will continue to study, more and more do not press.The basic Hadoop
Tags: table operations CLU SQL ROM Tilt sort complete Section Select sortFirst, the data to re-order 1.1, go to Heavy Distinct and GROUP by Try to avoid using distinct for weight, especially large table operations, using GROUP by instead -- Not recommended
Select DISTINCT Key from a
-- Recommended
Select Key from Group by Key 1.2. Sorting optimization Only order by produces a globally ordered result, which can be sorted according to the actual scenario. 1, order by to achieve global ordering
, this allows students to master advanced hive applications in the shortest time.Highlight 3: Rich Operation Experience of the Telecom Group Cloud PlatformLecturer Roby has rich working experience in China Telecom Group, is currently responsible for all aspects of the cloud platform, and has many years of internal enterprise training experience. The lecture content is completely close to the enterprise's needs and will never be discussed on paper.For
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