August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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significant_terms
The purpose of this is to identify the most relevant terms that are related to a particular set of documents. The terms in the result are not simply the most popular terms in the whole document set. Instead, they have a significant change in the popularity measured between the foreground (particular set scope) and background (index scope) sets. Here's a reminder that it does not support floating fields and the document counts are approximate values:
- Example: The purpose is to find the significant morningstar category (in keyword datatype) of ETFs with rating as 5 in the cf_etf index:
"query":{"match":{"rating":5}},"aggs":{"rating_vs_morningstar":{"significant_terms":{"field":"morningstar_category"}}}}}
- Resulting buckets ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.