Hi,
I'm trying to calculate a metric distance using a native scoring script on
my Elasticsearch matches between my query string terms and the found field
term terms of my indexed field.
Therefore I have to retrieve all the indexed field terms.
But it seems to me than I can just get them separately and only by index
of the actual term which I don not know if certain term it not present in
my query string:
This is the method to retrieve the terms separately. I have not seen
another one
https://github.com/elasticsearch/elasticsearch/blob/master/src/main/java/org/elasticsearch/search/lookup/IndexField.java
class: org.elasticsearch.search.lookup.IndexField;
Method get() from class IndexField:
public IndexFieldTerm get(Object key, int flags) { String termString = (
String) key;
IndexFieldTerm indexFieldTerm = terms.get(termString);
// see if we initialized already...
if (indexFieldTerm == null) {
indexFieldTerm = new IndexFieldTerm(termString, fieldName,
indexLookup, flags);
terms.put(termString, indexFieldTerm);
}
indexFieldTerm.validateFlags(flags);
return indexFieldTerm;
}
So is there any way to retrieve all the terms and iterate over them?
The groovy plugin provides this possibility, but I like to use a native
script, because it's faster.
Or is my approach simply not very good and there is a much easier way to
calculate my own metric distance?
Moreover I like to know if there is a way to calculate the base score
without using the tf and idf.
I know there is a constant_score query, which provides this option, but
the score is always 1, regardless of the number of term occurences.
I cannot use the way proposed over here:
http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/ignoring-tfidf.html
I just have too many terms.
I hope there is someone who can answer my questions.
Thank you!
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