I would like to make a query with two subqueries, each of them has it's own scoring based on function_score with script. For example, this subquery:
{
"query":{
"function_score":{
"query":{
"bool":{
"filter":[
{
"term":{
"rooms_count":3
}
},
{
"term":{
"addresses":"d76255c8-3173-4db5-a39b-badd3ebdf851"
}
},
{
"exists":{
"field":"zhk_id"
}
}
]
}
},
"script_score":{
"script":"1 * doc['price'].value/100000"
},
"boost_mode":"replace"
}
}
}
works fine, and it's score is based on price (about 190 points). But if I try to combine two subqueries in dis_max query, function_score is not working and I get scores about 1 point.
Explanation for each subquery looks like this
"value": 100.9416, "description": "script score function, computed with script:"[script: 1 * doc['price'].value/100000, type: inline, lang: null, params: {}]" and parameters:
{}",
for dis_max query like
"value": 1, "description": "ConstantScore(function score (#rooms_count: #addresses:d76255c8-3173-4db5-a39b-badd3ebdf851 #ConstantScore(fieldnames:zhk_id),function=script[script: 1 * doc['price'].value/100000, type: inline, lang: null, params: {}])), product of:",`
Can anybody tell me, how to combine function_score queries properly?
My full dis_max query on pastebin
Thanks to Daniel Mitterdorfer from https://discuss.elastic.co/t/combine-two-function-score-queries-in-dis-max/70666.
correct query is
{
"query":{
"dis_max":{
"queries":[
{
"function_score":{
"query":{
"bool":{
"filter":[
{
"term":{
"rooms_count":3
}
},
{
"term":{
"addresses":"d76255c8-3173-4db5-a39b-badd3ebdf851"
}
},
{
"missing":{
"field":"zhk_id"
}
}
]
}
},
"script_score":{
"script":"1 * doc['price'].value/100000"
},
"boost_mode":"replace"
}
},
{
"function_score":{
"query":{
"bool":{
"filter":[
{
"term":{
"rooms_count":3
}
},
{
"term":{
"addresses":"d76255c8-3173-4db5-a39b-badd3ebdf851"
}
},
{
"exists":{
"field":"zhk_id"
}
}
]
}
},
"script_score":{
"script":"1 * doc['price'].value/100000"
},
"boost_mode":"replace"
}
}
]
}
}
}
Related
I'm trying to search posts with some prefixes (212, 215) and in certain node (663).
This query is searching posts with OR prefix operator. But i need a query to search with AND operator. How to do it? This query is generated by CMS:
{
"query":{
"bool":{
"filter":[
{
"term":{
"node":663
}
},
{
"terms":{
"prefix":[
"215",
"212"
]
}
},
{
"bool":{
"should":[
{
"type":{
"value":"post"
}
},
{
"type":{
"value":"thread"
}
}
]
}
}
],
"must":{
"match_all":{
}
}
}
},
"sort":[
{
"date":"desc"
}
],
"size":8000,
"docvalue_fields":[
"discussion_id",
"user",
"date"
],
"_source":false
}
If you're looking for docs that have a list of values for prefix containing both 212 and 215, you should use separate queries:
{
"query":{
"bool":{
"filter":[
...
{"match":{"prefix":"212"}},
{"match":{"prefix":"215"}},
...
],
...
}
I am running following elasticsearch query from groovy script. There are thousands of records which meet this criteria, but I get only 10 records in return.
{
"query":{
"bool":{
"must":[
{
"match_all":{
}
},
{
"range":{
"#Timestamp":{
"gte":1417511269270,
"lte":1575277669270,
"format":"epoch_millis"
}
}
},
{
"match_phrase":{
"field1.keyword":{
"query":"value1"
}
}
},
{
"match_phrase":{
"field2.keyword":{
"query":"value2"
}
}
},
{
"range":{
"#Timestamp":{
"gte":"2001-03-01",
"lt":"2019-10-30"
}
}
}
],
"filter":[
],
"should":[
],
"must_not":[
]
}
}
}
What am I missing in my query?
You are missing a size parameter, which means it defaults to 10 results.
e.g. add this to your query object:
"size": 100
Is there any way to get documents from elasticsearch in custom order .
the documents in elastic are indexed like this :
{
"productId":1
},
{
"productId":2
},
{
"productId":3
}
i need to get documents in order as term query order
i try this query but not work :
{
"from":0,
"size":20,
"query":{
"bool":{
"should":[
{
"term":{
"productId":{
"value":3,
"boost":1.0
}
}
},
{
"term":{
"productId":{
"value":1,
"boost":1.0
}
}
},
{
"term":{
"productId":{
"value":2,
"boost":1.0
}
}
}
],
"adjust_pure_negative":true,
"boost":1.0
}
},
"version":true
}
as you see term queries with productId:3 , productId:1 , productId:2
i expect result are documents sorted as term queries order :
{
"productId":3
},
{
"productId":1
},
{
"productId":2
}
This is a story of 2 queries. One returns results, while the other does not. Why?
Query that returns results:
{
"index":"my_index",
"type":"places",
"body":{
"from":0,
"size":"12",
"sort":{
"_score":{
"order":"desc"
}
},
"query":{
"function_score":{
"query":{
"bool":{
"must":[
],
"should":[
],
"must_not":[
],
"filter":[
]
}
},
"functions":[
{
"gauss":{
"location":{
"origin":{
"lat":"41.243368",
"lon":"-116.79711"
},
"offset":"0mi",
"scale":"100mi"
}
}
}
],
"score_mode":"sum",
"boost_mode":"sum"
}
}
}
}
Query that does NOT return results:
{
"index":"my_index",
"type":"places",
"body":{
"from":0,
"size":"12",
"sort":{
"_score":{
"order":"desc"
}
},
"query":{
"function_score":{
"query":{
"bool":{
"must":[
],
"should":[
{
"terms":{
"region_id":[
32273
],
"boost":2
}
}
],
"must_not":[
],
"filter":[
]
}
},
"functions":[
{
"gauss":{
"location":{
"origin":{
"lat":"41.243368",
"lon":"-116.79711"
},
"offset":"0mi",
"scale":"100mi"
}
}
}
],
"score_mode":"sum",
"boost_mode":"sum"
}
}
}
}
The Bool Query has only a Should Clause.
Also, I am summing the scores, not multiplying them.
It's true that I do not have any items in the index that have the specified "region_id", but I fail to see how the results of the first query are excluded from the second query. It seems like the 0 score on the Bool Query is acting like a filter.
The first query acts as a match_all query so it returns everything and applies the function score.
In the second query you have a should clause, but since there are no must or filter clause it must match.
From ES docs: "In a boolean query with no must or filter clauses, one or more should clauses must match a document"
I am running into some serious Problems with a custom Search. All i want is a Wildcard Search in three Fields and the Result should to filtered by another field. In Elastica it results in this Query:
{
"bool":{
"should":[
{
"wildcard":{
"ean":"*180g*"
}
},
{
"wildcard":{
"titel":"*180g*"
}
},
{
"wildcard":{
"interpret":"*180g*"
}
}
],
"filter":[
{
"term":{
"genre":{
"value":"Rock",
"boost":1
}
}
}
]
}
}
Actually i can't find an error, but Elasticsearch does not give me Filtered Results. What happens? Elasticsearch returns ALL Items with the Filtered Term, either if the Boolean Shoulds are True or False. When i add the Filter as "Must" i am getting the same results? What is wrong here !?
You need to add "minimum_should_match": 1 in your bool query.
{
"bool":{
"minimum_should_match": 1,
"should":[
{
"wildcard":{
"ean":"*180g*"
}
},
{
"wildcard":{
"titel":"*180g*"
}
},
{
"wildcard":{
"interpret":"*180g*"
}
}
],
"filter":[
{
"term":{
"genre":{
"value":"Rock",
"boost":1
}
}
}
]
}
}