Apache Hadoop - HDFS, YARN, and MapReduce Part 4 | Lecture Note - Edubirdie

University:
University of Arizona
Course:
CHEM 141 | General Chemistry Lecture I
Academic year:

2022
Views:

47

Pages:

10
Author:

Charlee Buchanan

Heartbeats • DataNodes send hearbeat to the NameNode • Once every 3 seconds • NameNode uses heartbeats to detect DataNode failure. Basic commands to manage HDFS Listing the content of a directory The content of a file Create a directory Basic commands to manage HDFS Upload a file Download a file Copy a file Move a file Basic commands to manage HDFS Remove a file Remove a directory Anatomy of a File Write Figure 3-4. A client writing data to HDFS– Hadoop: The def. Guide Anatomy of a File Read Figure 3-2. A client reading data from HDFS– Hadoop: The def. Guide MapReduce MapReduce MapReduce • MapReduce is a programming model for efficient distributed computing • It works like a Unix pipeline • cat input | grep | sort | uniq -c | cat > output • Input | Map | Shuffle & Sort | Reduce | Output • Efficiency from • Streaming through data, reducing seeks • Pipelining • A good fit for a lot of applications • Log processing • Web index building MapReduce MapReduce—logical Data Flow Figure 2-1. MapReduce logical data flow- Hadoop: The def. Guide

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