I have N documents containing attributes.
I needed to precompute a special similarity measure between each pairwise
Now I would to understand how to index and search using ES to answer a
"Retrieve me the Top N documents that are the most similar to document
ID 1 and having as fieldA = 1"
and facets the results according to a given field
I was thinking to create an index of documnts with all the associated
pairwises as attributes,like:
issue with such design
The number of generated fields per document is very large for me (10K)
and I am not sure how to search efficiently (I tried a script score like
return doc['sim_doc_id1'] + field1) but it was quite slow.. especially
compared to a stupid loop in Java. however I would to use the aggregation
framework of ES to create facets of the results.
Do you have any recommendation / guideline to handle this pb?
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