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! -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to elasticsearch+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/5c9dc373-ea47-40b5-9699-ef2dfd95aea6%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
