February 2015
Intermediate to advanced
170 pages
3h 39m
English
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Joins
N1QL does contain support to perform joins on documents with a caveat—the joins must be made across different buckets. While this is a limitation for several use cases, it does provide a means of putting data together from disparate document sources.
Since this chapter focuses on the beer-sample database, the following join next imagines a setup where beer and brewery documents are stored in two separate buckets named beers and breweries, respectively:
SELECT * FROM beers AS b JOIN breweries AS b2 KEYS b.brewery_id
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.