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Elasticsearch (Part 1): Indexing and Querying
--client
psf
--show
pycon2013
--room MissionCity 2155 --force
Next: 11 Whoosh, the open-source Python search library
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Marks
Author(s):
Erik Rose
Location
Mission City
Date
mar Fri 15
Days Raw Files
Start
16:30
First Raw Start
15:57
Duration
00:30:00
Offset
0:32:44
End
17:00
Last Raw End
18:40
Chapters
00:00
Total cuts_time
31 min.
https://us.pycon.org/2013/schedule/presentation/100/
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Elasticsearch provides an easy path to clusterable full-text search, with synonyms, faceting, and geographic math, but there's a paucity of written wisdom beyond its API docs. This talk, part 1 of a 2-part series, surveys its capabilities and shows how its internal data structures and algorithms work. With the groundwork laid, we explore how to choose efficient indexing and the right queries to make your apps go fast.
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