veyepar: Elasticsearch (Part 1): Indexing and Querying

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Name: 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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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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assets release.pdf Elasticsearch_Part_1_Indexing_and_Querying.json
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Description:	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. markdown
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