WebDec 9, 2016 · at first I thought this might be related to the use of a field (e.g. key.keyword), but since I'm not doing that, then I don't see any reason why this is not working. WebMar 21, 2024 · There are a number of concerns with using the existing significant_terms aggregation on text fields: Memory costs: access to the text in documents is reliant on …
Big, fast human-in-the-loop NLP with Elasticsearch
WebMay 14, 2024 · Steps to reproduce. Setup the index: Create an index with a General Aggregated Field that is a Union type. Once added to the fields, ensure that it is a Fulltext type. Build the index. Build the View: Create a view that has a keyword search filter and add the field you create above to it. Try and search for a value that is in either field you ... WebOct 22, 2024 · Reviewing the change where I added this comment, it seems I was just trying to maintain the current logic (which didn't explicitly check for a null field type), and didn't mean to assert that we should support significant_text on unmapped fields. petery ulm
Significant text - Nested Object support #28050 - Github
WebSet fielddata=true on [content_type] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead.]]; nested: ElasticsearchException[Elasticsearch exception [type=illegal_argument_exception, reason=Fielddata is disabled on text fields by default. WebSep 12, 2024 · Normally I’d use it on a text field eg “Comment”. It’s confused because comment.English is not a JSON field in the source and you have plain comment mapped as a keyword. Look at the ‘source_fields param documented here Significant text aggregation Elasticsearch Guide [7.14] Elastic WebThe analysis process allows Elasticsearch to search for individual words within each full text field. Text fields are not used for sorting and seldom used for aggregations (although the … peter yu tae-chol