I want to search for a phrase to Elasticsearch like "personal tax date". I want the returned results to give more weight to the term "tax".
So far I know how to boost entire index or boost for different fields but still don't know how to boost different terms? Any help??
Using function score we can boost by fields
GET <index_name>/_search
{
"query": {
"function_score": {
"query": {
"query_string": {
"query": "*personal tax date*",
"fields": [
"field_1",
"field_2"
]
}
},
"boost": "5",
"functions": [
{
"filter": { "match": { "field": "tax" } },
"weight": 30
},
{
"filter": { "term": { "ent_name": "tax" } },
"weight": 25
}
],
"score_mode": "multiply",
"boost_mode": "sum"
}
}
You can use query_string query and boost the term using query string syntax as below:
{
"query": {
"query_string": {
"query": "personal tax^2 date"
}
}
}
Related
I have a query where I'm trying pull documents out of my index and sort them by a date. Additionally, if the document's ID matches a provided one then I boost that result.
When I run my query I'm noticing that some of the documents with a more recent sort date are not at the top of the results because Elasticsearch is giving them a different score than other documents. As a result my result order is incorrect. I don't see anything in my query that could be affecting the score. Anyone have any idea what's happening?
Here's the query I'm using:
{
"query": {
"function_score": {
"query": {
"bool": {
"must": [
{
"match": {
"language.keyword": {
"query": "english",
"operator": "OR",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"functions": [
{
"filter": {
"match": {
"id": {
"query": "ID1",
"operator": "OR",
"boost": 1
}
}
},
"weight": 10
}
],
"score_mode": "multiply",
"boost_mode": "multiply",
"boost": 1
}
},
"sort": [
{
"_score": {
"order": "desc"
}
},
{
"sortDate": {
"order": "desc"
}
}
]
}
Is there any way to boost search results on same field depending on type?
My basic boosting is something like:
GET _search
{
"query": {
"simple_query_string": {
"query": "mangan",
"fields":["_all", "title^6"]
}
}
}
But for some other documents I want title to be less important, so I tried to prefix it with type:
GET _search
{
"query": {
"simple_query_string": {
"query": "mangan",
"fields":[
"_all",
"DocumentationPage.title^6",
"DocumentationPage.title^6"]
}
}
}
But then it does not boost at all. As a last resort I could use Funcsion/Script Score bu would like to avoid it.
For sake of example, assume that document contains just title field.
A simple way to achieve this is re-writing the query in the OP as a dis-max query.
Example for elasticsearch 5.x:
{
"query": {
"dis_max": {
"queries": [
{
"simple_query_string": {
"fields": [
"_all"
],
"query": "mangan"
}
},
{
"bool": {
"filter": {
"type": {
"value": "DocumentationPage"
}
},
"must": [
{
"simple_query_string": {
"fields": [
"title^6"
],
"query": "mangan"
}
}
]
}
}
]
}
}
}
I have a scenario in Elasticsearch where my indexed docs are like this :-
{"id":1,"name":"xyz", "address": "xyz123"}
{"id":1,"name":"xyz", "address": "xyz123"}
{"id":1,"name":"xyz", "address": "xyz123", "note": "imp"}
Here the requirement stress that we have to do a term match query and then provide relevance score to them which is a straight forward thing but the additional aspect here is if any doc found in search result has note field then it should be given higher relevance. How can we achieve it with DSL query? Using exists we can check which docs contain notes but how to integrate with match query in ES query. Have tried lot of ways but none worked.
With ES 5, you could boost your exists query to give a higher score to documents with a note field. For example,
{
"query": {
"bool": {
"must": {
"match": {
"name": {
"query": "your term"
}
}
},
"should": {
"exists": {
"field": "note",
"boost": 4
}
}
}
}
}
With ES 2, you could try a boosted filtered subset
{
"query": {
"function_score": {
"query": {
"match": { "name": "your term" }
},
"functions": [
{
"filter": { "exists" : { "field" : "note" }},
"weight": 4
}
],
"score_mode": "sum"
}
}
}
I believe that you are looking for boosting query feature
https://www.elastic.co/guide/en/elasticsearch/reference/5.1/query-dsl-boosting-query.html
{
"query": {
"boosting": {
"positive": {
<put yours original query here>
},
"negative": {
"filtered": {
"filter": {
"exists": {
"field": "note"
}
}
}
},
"negative_boost": 4
}
}
}
I would like to mix a search on a whole document (eg "developer") and a search on some field for another term (eg "php").
I can do each search separately but I can't mix them.
Here my example (simplified to show only my issue) :
{
"query": {
"function_score": {
"query": {
"match": {
"_all": "developer"
},
"multi_match": {
"query": "php",
"fields": [
"skills.description",
"skills.description",
"skills.details"
],
"operator": "or",
"type": "most_fields"
}
}
}
}
If I run this example I have an error :
Parse Failure [Failed to parse source
Is there a way to search on both _all and specific fields with two terms?
Thanks.
Yes, you're almost there, you need to combine them into a bool/must query:
{
"query": {
"function_score": {
"query": {
"bool": {
"must": [
{
"match": {
"_all": "developer"
}
},
{
"multi_match": {
"query": "php",
"fields": [
"skills.description",
"skills.description",
"skills.details"
],
"operator": "or",
"type": "most_fields"
}
}
]
}
}
}
}
}
Is there a way to boost the docs that "come" from the has_parent query ?
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"multi_match": {
"fields": ["name^3", "tags^2", "content"],
"query": "xx"
}
},
{
"has_parent": {
"type": "theparent",
"query": {
"multi_match": {
"type": "best_fields",
"fields": ["name^5", "content"],
"query": "xx"
}
}
}
},
{
"has_child": {
"type": "thechild",
"query": {
"multi_match": {
"fields": ["name^3","content"],
"query": "xx"
}
}
}
}
]
}
},
"score_mode": "sum",
"functions": [
{
"linear": {
"date": {
"origin": "2014-08-29",
"scale": "700d",
"decay": 0.6
}
}
}
]
}
}
More exactly, I would like to boost those docs only when the query matches the name field of the parent
(I haven't found a way to refer to a parent field in the functions i.e. theparent._source.name ~= "xx")
According to the sources from Github (see line 104), the boost parameter is allowed within a has_parent query.
Based on this attribute, you can boost specifically the should clause containing the has_parent query. In your case, the result would be :
...
{
"has_parent": {
"type": "theparent",
"query": {
"multi_match": {
"type": "best_fields",
"fields": ["name^5", "content"],
"query": "xx"
}
},
"boost": 5
}
}
...
I don't know if it can help you, but you will find more insights about boosting query clauses here.