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- Elasticsearch group by multiple fields and sum the hours (aggregation) Saurabh. I am working on an elasticsearch (1.5) query to get all the tasks for users and their respective hours within a time interval. For example, 1st Jan 2016 - 31 Dec 2016. This is what I have managed to get so far:
- You can aggregate on this single field, which will benefit from the global ordinals optimization. multi_terms aggregation Use multi_terms aggregation to combine terms from multiple fields into a compound key. This also disables the global ordinals and will be slower than collecting terms from a single field.
- MultiTermsAggregation is missing a number of fields: collect_mode, order, min_doc_count, shard_min_doc_count, shard_size, show_term_doc_count_error, size; Closes #310 reported by @andreluiz1987 by rewording it as an API-specification related issue.
- A multi-bucket value source based aggregation where buckets are dynamically built - one per unique set of values. The multi terms aggregation is very similar to the terms aggregation, however in most cases it will be slower than the terms aggregation and will consume more memory. Therefore, if the same set of fields is constantly used, it would be more efficient to index a combined key for this fields as a separate field and use the terms aggregation on this field.
- 2016. 2. 25. · If you're looking to generate a "cross frequency/tabulation" of terms in elasticsearch, you'd go with a nested aggregation. Here's an example of a three-level aggregation that will produce a "table" of