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Hands-on HTRC Data API: Request, Process & Demo

Learn to code to request data from HTRC Data API, get OAuth2 token, process ZIP files, a simple word count demo in Java and Python. Explore parallelization ideas for higher efficiency.

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Hands-on HTRC Data API: Request, Process & Demo

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Presentation Transcript

  1. HTRC Data API Hands-on Yiming Sun

  2. Goal • Show key pieces in writing code to request data from Data API • Request token from OAuth2 token endpoint • Request volumes from Data API • Processing ZIP • Demo code: • Simple word count • Available in Java (v1.5+) and Python (v2.7)

  3. Download code packages • http://htrc.mine.nu/confluence/display/OUT/HTRC+Uncamp+Data+API+Demo

  4. Run the demo code Java: $ unzip htrc-uncamp-java-demo.zip $ cd htrc-uncamp-java-demo $ chmod 700 *.sh $ ./volwc.sh 25vollist.txt <id> <scrt> Python: $ unzip htrc-uncamp-python-demo.zip $ cd htrc-uncamp-python-demo $ python VolumeWordCountClient.py 25vollist.txt <id> <scrt>

  5. What about parallelization? • At first level • Meandre workflows can leverage multiple cores • Use multi-threaded code when run on multi-core single node • Ideas on how to parallelize demo code • More advanced level • MPI • Map/Reduce • What algorithms do you use, and what are your basic needs?

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