elasticsearch - Boosting Filtered query based on field value -
i have following filtered query , want use custom_score query or custom_filters_score query boost results based on specific field value. however, i'm hitting errors such as:
no query registered [custom_filters_score]]; no query registered [custom_score]]; where going wrong? appreciated !
here query:
{ "query": { "custom_score": { "query": { "filtered": { "query": { "bool": { "should": [ { "constant_score": { "query": { "match": { "question": { "query": "diabetes" } } }, "boost": 1 } }, { "dis_max": { "queries": [ { "constant_score": { "query": { "match": { "question": { "query": "diabetes" } } }, "boost": 0.01 } }, { "constant_score": { "query": { "match": { "answer_text": { "query": "diabetes" } } }, "boost": 0.0001 } } ] } }, { "dis_max": { "queries": [ { "constant_score": { "query": { "match_phrase": { "question_phrase": { "query": "what diabetes", "slop": 0 } } }, "boost": 100 } }, { "constant_score": { "query": { "match_phrase": { "question_phrase": { "query": "what diabetes", "slop": 1 } } }, "boost": 50 } }, { "constant_score": { "query": { "match_phrase": { "question_phrase": { "query": "what diabetes", "slop": 2 } } }, "boost": 33 } }, { "constant_score": { "query": { "match_phrase": { "question_phrase": { "query": "what diabetes", "slop": 3 } } }, "boost": 25 } }, { "constant_score": { "query": { "query_string": { "default_field": "question_group_four", "query": "what__is__diabetes" } }, "boost": 0.1 } }, { "constant_score": { "query": { "query_string": { "default_field": "question_group_five", "query": "what__is__diabetes" } }, "boost": 0.15 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_no_synonyms_20", "query": "what__is__diabetes" } }, "boost": 35 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_no_synonyms_15", "query": "what__is__diabetes" } }, "boost": 25 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_no_synonyms_10", "query": "what__is__diabetes" } }, "boost": 15 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_20", "query": "what__is__diabetes" } }, "boost": 28 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_15", "query": "what__is__diabetes" } }, "boost": 16 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_10", "query": "what__is__diabetes" } }, "boost": 13 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_05", "query": "what__is__diabetes" } }, "boost": 4 } } ] } }, { "dis_max": { "queries": [ { "constant_score": { "query": { "query_string": { "default_field": "question_group_four", "query": "diabetes" } }, "boost": 0.1 } }, { "constant_score": { "query": { "query_string": { "default_field": "question_group_five", "query": "diabetes" } }, "boost": 0.15 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_no_synonyms_20", "query": "diabetes" } }, "boost": 35 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_no_synonyms_15", "query": "diabetes" } }, "boost": 25 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_no_synonyms_10", "query": "diabetes" } }, "boost": 15 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_20", "query": "diabetes" } }, "boost": 28 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_15", "query": "diabetes" } }, "boost": 16 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_10", "query": "diabetes" } }, "boost": 13 } }, { "constant_score": { "query": { "query_string": { "default_field": "concept_words_05", "query": "diabetes" } }, "boost": 4 } } ] } } ], "disable_coord": true } }, "filter": { "and": [ { "term": { "posted_by_expert": false } }, { "term": { "tip_question": false } }, { "term": { "show_in_work_queue": true } }, { "range": { "verified_answers_count": { "gt": 0 } } } ] } } }, "script": "_score * doc['my_numeric_field'].value" } }, "sort": [ "_score", { "count_words_with_high_concepts": { "order": "asc" } }, { "popularity": { "order": "desc" } }, { "length": { "order": "asc" } } ], "fields": [], "size": 10, "from": 0}
these 2 queries not available in latest versions of elastic search after 0.90.4 . if using elastic search > 0.90.4( pretty old version), have use function score query replaced custom filters score query after 0.90.4 version
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