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Hola Hadoop

Streamline your Hadoop workspace by cleaning up hard disks, deleting unnecessary files, and managing configurations. This guide covers essential steps, including removing `.tmp` folders, carefully handling critical files, and downloading necessary tools. You'll learn how to set up your Hadoop environment, upload data to HDFS using PuTTY, and build your first MapReduce job with Eclipse. Follow our structured approach to execute commands effectively and analyze output, ensuring a smooth data processing workflow.

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Hola Hadoop

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  1. Hola Hadoop

  2. 0. Clean-Up The Hard-disks • Delete tmp/ folder from workspace/mdp-lab3 • Delete unneeded downloads

  3. 0. Peligro! Please pleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleaseplease please pleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleaseplease

  4. 0. Peligro! … please pleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleaseplease please pleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleasepleaseplease

  5. Peligro! … please

  6. Peligro! … please be careful of what you are doing! • Think twice before: rm mv cp kill emacs/vim/… configuration files

  7. Peligro! … please.

  8. cluster.dcc.uchile.cl

  9. 1. Download tools • http://aidanhogan.com/teaching/cc5212-1/tools/ • Unzip them somewhere you can find them

  10. 2. Log-in PuTTy 1 2 3

  11. 3. Open DFS Browser http://cluster.dcc.uchile.cl:50070/

  12. 3. PuTTy: Upload data to HDFS • hadoop fs -ls / • hadoop fs -ls /uhadoop • hadoop fs -mkdir /uhadoop/[username] • [username] = first letter first name, last name (e.g., “ahogan”) • cd /data/hadoop/hadoop/data/ • hadoop fs -copyFromLocal /data/hadoop/hadoop/data/es-abstracts.txt /uhadoop/[username]/es-abstracts.txt

  13. Note on namespace • If you need to disambiguate local/remote files • HDFS file • hdfs://cm:9000/uhadoop/… • Local file • file:///data/hadoop/...

  14. 4. Let’s Build Our First MapReduce Job • Hint: Use Monday’s slides for “inspiration” • http://aidanhogan.com/teaching/cc5212-1/ • Implement map(.,.,.,.) method • Implement reduce(.,.,.,.) method • Implement main(.) method

  15. 5. Eclipse: Build jar Right Click build.xml > dist (Might need to make a dist folder)

  16. 6. WinSCP: Copy .jar to Master Server 1 2 3 Don’t save password! 4

  17. 6. WinSCP: Copy .jar to Master Server

  18. 6. WinSCP: Copy .jar to Master Server • Create dir: /data/2014/uhadoop/[username]/ • Copy your mdp-lab4.jar into it

  19. 7. Putty: Run Job • hadoop jar /data/2014/uhadoop/[username]/mdp-lab4.jar WordCount /uhadoop/[username]/es-abstracts.txt /uhadoop/[username]/wc/ All one command!

  20. 8. Look at output • hadoop fs -ls /uhadoop/[username]/wc/ • hadoop fs -cat /uhadoop/[username]/wc/part-00000 | more • hadoop fs -cat /uhadoop/[username]/wc/part-00000 | grep -e "^de" | more All one command! Look for “de” … 4575144 occurrences in local run

  21. 9. Look at output through browser http://cluster.dcc.uchile.cl:50070/

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