August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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histogram
The purpose of the histogram aggregation is to group values into ranges with a fixed interval and count the documents. The starting range is 0 or a given offset. The range distance is specified by the interval value. The rounding formula is bucket_key = Math.floor((value - offset) / interval) * interval + offset. The "extended_bounds" : {"min" : lv,"max" : uv} parameter is used to specify the lower bound and upper bound of the buckets:
- Example: The purpose is to obtain the histogram of the open price of the ACWF ETF in the cf_etf_hist_price index, with interval=1, min=24, and max=30:
"query": { "match": { "symbol": "ACWF"}},"aggs": { "acwf_histogram": {"histogram": {"field": "open","interval": 1,"extended_bounds": { "min":24, ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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.
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