總之來講講 Search
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This document discusses search and building an inverted index for searching. It introduces inverted indexes which map terms to documents. It also covers phrase searching, building an inverted index by splitting text into tokens, removing stop words, normalization, and stemming. The document then introduces ElasticSearch for building a distributed, document-based search index and using django-haystack and Elasticsearch to enable search in a Django application.
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總之來講講 Search
- 1. 總之來講講 Search Andy Dai andy@dorm7.com
- 4. 找 Django 相關的⽂文件 $ grep -ri django * docs = Document.objects.filter( Q(title__icontain="django")| Q(body__icontain="django") )
- 8. Inverted Index django flask python web ruby file1 file1 file2 file2 file1 file2 file3 file4 file4
- 9. search (python and django) django flask python web ruby file1 file1 file2 file2 file4 file1 file2 file3 file4 file4
- 10. Phrase Search django web file1 (1,3) file1 (2) file2 (3,4) file3 (41) file4 (53)
- 11. Search (“django web”) django web file1 (1,3) file1 (2) file2 (3,4) file3 (41) file4 (53)
- 12. Building Inverted Index “Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.” django high level python web framework encourage rapid development clean pragmatic design
- 13. What we do • Split into tokens • Drop stop words • Normalize • Lowercase • stemming
- 14. Congratulations! Now you can build you own search
- 15. 今天不是要講 Django + ElasticSearch 嗎？
- 17. ElasticSearch • Open Source • Distributed • Document-based • JSON over HTTP
- 19. Multiple Backends • ElasticSearch • Whoosh • Solr • Xapian
- 20. pip install django-‐haystack pip install elasticsearch
- 21. 設定 • setting.py • search_indexes.py • search template for document
- 23. Q&A