and then outputs a set of records of the form (key, data). As the map program produces output records, a "split" function partitions the records into M disjoint buckets by applying a function to the key of each output record. This split function is typically ...
One could argue that value of MapReduce is automatically providing parallel execution on a grid of computers. This feature was explored by the DBMS research community in the 1980s, and multiple prototypes were built including Gamma [2,3], Bubba [4], and Grace [5]. Commercialization of these...
Why Cannot I Connect to HiveServer When I Use IBM JDK to Access the Beeline Client? Does the Location of a Hive Table Support Cross-OBS and Cross-HDFS Paths? What Should I Do If the MapReduce Engine Cannot Query the Data Written by the Union Statement Running on Tez? Does Hive Support...
[3] Huang Diwei, Lin Jimmy. Scaling populations of a genetic algorithm for job shop scheduling problems using MapReduce[C]. Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science, IEEE Computer Society, 2010:780 785. [4] 夏卫雷,王立松.基于MapReduce...
F# is a powerful language that enables you to solve problems by both cranking out quick hacks and by building up more complex solutions from those hacks. In this article I used it to cut down the MapReduce algorithm into bite-sized morsels. This enabled me to demonstrate how only 50 lines...
Improving the performance of MapReductions becomes particularly important because of (i) time-critical nature of MapReductions, (ii) savings in important machine hours, and (iii) cost-effective cloud solutions for users and enterprises. ^ The main thrust of the thesis is to address the MapReduce...
And finally, in this feature entitled Why content management problems need big-data solutions,Cameron McKenzie, the Editor-in-Chief ofTheServerSide.com, explores why big data solutions are such a perfect fit for the content management space. Discover how smart organizations are cost effectively usi...
Based on diversified cloud infrastructure, MRS provides various computing and storage choices and separates computing from storage, delivering cost-effective massive data storage solutions. MRS supports auto scaling to address peak and off-peak service loads, releasing idle resources on the big data plat...
[ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1]http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException [ERROR] [ERROR] After correcting the problems, you can resume the build with the command ...
To handle these problems we have proposed two algorithms MR-MCAR-F (MapReduce-Multi Class Associative Classifier-MapReduce fast algorithm) and MR-MCAR-L (MapReduce-Multi Class Associative Classifier Load parallel frequent pattern growth algorithm). Also in this paper, MapReduce solution of Tid ...