DAT 560M pres3-3.pdf - DAT 560M Big Data Cloud Computing Week 3 MapReduce Intro 1 MapReduce • MapReduce is a programming model for data processing The

DAT 560M pres3-3.pdf - DAT 560M Big Data Cloud Computing...

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11/1/19 1 DAT 560M Big Data & Cloud Computing Week 3 MapReduce Intro 1 MapReduce MapReduce is a programming model for data processing. The model is simple, yet not too simple to express useful programs in. MapReduce is a framework for executing highly parallelizable and distributable algorithms across huge data sets using a large number of commodity computers. Source: Professional Hadoop Solutions (Ch3) and Hadoop: the Definitive guide 3 rd (Ch2) 2
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11/1/19 2 MapReduce MapReduce was introduced to solve large- data computational problems, and is specifically designed to run on commodity hardware. It is based on divide-and-conquer principles
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Unformatted text preview: — the input data sets are split into independent chunks, which are processed by the mappers in parallel. 3 MapReduce Source: 4 11/1/19 3 MapReduce 5 MapReduce Example • Try this: – Make a simple text file. Write some words in it. – Put the file into HDFS. – Copy Hadoop WordCount example file into your folder. • cd /usr/lib/hadoop-0.20-mapreduce/ • cp hadoop-examples.jar ~/ – Run Jar word count on your file. • hadoop jar hadoop-examples.jar wordcount test.txt output – Watch the results • hdfs dfs -cat output/part-r-00000 6 6...
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  • Fall '18
  • Marion Neumman

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