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Python and Elasticsearch (Add Full Text Search to your legacy application)
--client
kiwipycon
--show
kiwipycon2015
--room Track_1 10278 --force
Next: 1 Functionalish programming in pip with effect
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Marks
Author(s):
Benoit Chabord
Location
Track 1
Date
sep Sat 05
Days Raw Files
Start
11:25
First Raw Start
error-in-template
Duration
00:30:00
Offset
None
End
11:55
Last Raw End
Chapters
Total cuts_time
None min.
https://kiwi.pycon.org/schedule/presentation/72/
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Python_and_Elasticsearch_Add_Full_Text_Search_to_your_legacy_application.json
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Start:
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Duration:
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Name:
Video Title (shows in video search results)
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Thumbnail:
filename.png
Description:
markdown
At GrabOne we started to use Elasticsearch a year ago and integrate it with Django. The transition was pretty smooth. ## What Is Elasticsearch ? * Open Source product https://www.elastic.co/products/elasticsearch * Based on Apache Lucene index system * Dristibuted, scalable and highly available * Real time search and analytics capabilities * RESTful API ## Integration With Python * Because it is RESTful can be integrated with urllib * Official Python connector maintained by the elasticsearch team https://github.com/elastic/elasticsearch-py * Official Pythonic Query builder and Model mapper (ORM) https://github.com/elastic/elasticsearch-dsl-py ## GrabOne use case * Started by redoing the search page * Rebuilding the entire frontend using Elasticsearch as datasource for a Django website
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