Aggregations in Elasticsearch are pretty expensive. Before actually computing aggregations, I would like to find out if an aggregation would have non-zero count.
For eg. say based on my query, N documents are returned. Now I want to find out, if on these N documents, I aggregate over a certain field, will that aggregation have any buckets? If for all documents the field has null value or empty string, it should return false or 0. If even single document has field as non-empty string or non-null value, it should return true or a non-zero number. I don't really care about the count.
Is it possible to do in a way which is much faster than computing aggregation?
Related
After reading the documentation, I haven't quite wrapped my head around how the rewrite parameter top_terms_boost_N works.
From the documentation:
Assigns each matching document a relevance score equal to the boost
parameter.
This method changes the original query to a bool query. This bool
query contains a should clause and term query for each matching term.
The final bool query only includes term queries for the top N terms.
You can use this method to avoid exceeding the clause limit in the
indices.query.bool.max_clause_count setting.
Example. Say I'm querying with the string A B C D E F G, and I set N to 2, so top_terms_boost_2 is used as the rewrite parameter.
Does that mean Elastic will take two of the terms from the provided string? E.g. C and F.
How does elastic decide what constitutes a "top" term, is it term frequency?
Why is it important that elastic Assigns each matching document a relevance score equal to the boost parameter?
I required search elastic lets consider trigram tokenizer, then ela, las, ast, sti, tic are words should search and minimum score is 60% is given means at least 3-words should match in result like elast.
I have 100 documents with field price between 1000 and 10,000
For example: I want to query 4 documents with prices near 5000, the expected values can be more or less 5000.
If I set ranges it might give me empty results sometimes because it found not results between my max and min values.
I can requery it with larger min and max values but I don't think it is the correct solution.
Also I've tried Span queries but it does n't support numeric values
Is there any way to do this in elasticsearch 6.0 ?
There are at least two ways I can think of doing it.
1: Do a range query over price equal to 5000 plus or minus some constant. Add sort in your query based on their distance from given price (5000 in your case). Reference
2: Use function_score to compute the score of each match in a range query with a function dedicated to compute the absolute distance from price 5000. Reference
I have documents with various price values. I want to filter these documents by something like color:red and rank the document by distance from the documents price to the average of the current result page.
I can use aggregation to compute the average, but the question is how can I do it in one query?
Is it possible to get nearby results for ElasticSearch query?
Example 1. If I have items, named as:
one
two
three
four
then search "three", ordered, for example, by name, ascending, should return something like (given number of neighbors is 1):
one
*three*
two
Example 2. I have query results and ID of an document in it, I want IDs of next and previous document. The order is set in query.