August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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max_bucket
The purpose of this is to find the maximum value of the buckets from the aggregation in the previous stage:
- Example: The purpose is to compute the maximum monthly close price in addition to the monthly close price for the ACWF ETF in the cf_etf_hist_price index:
"query":{"match": {"symbol":"ACWF"}}, "aggs":{"monthly_avg_close": {"date_histogram":{"field": "date","interval": "month","format": "yyyy-MM-dd"}, "aggs":{"avg_close_on_month":{"avg":{"field":"close"}}}}, "overall_max_avg_close":{"max_bucket": {"buckets_path":"monthly_avg_close>avg_close_on_month"}}}
- Resulting buckets: This is the same as the result in the avg_bucket example, except overall_avg_close is replaced by overall_max_avg_close as follows:
"overall_max_avg_close": ...
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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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