I was going through Query String Query https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html
How can i do geo location based search if i have latitude and longitude and range in KM?
After some experiments and some search on net. I achieved this with wrapping "query string" in bool query.
{
"size": 0,
"query": {
"bool": {
"must": {
"query_string": {
"query": "one:1 AND two:2"
}
},
"filter": {
"geo_distance": {
"distance": "12km",
"latLong": "16.48,80.61"
}
}
}
},
"from": "0",
"_source": [
"user"
]
}
cheers.
Thank-you.
Related
I use ES 7, I want to search over multi fields, but on this field (title) must be shown firstly if it matches exactly. For now I tried :
{
"query": {
"bool": {
"must": {
"bool": {
"should": [
{
"match_phrase": {
"titre": {
"query": "test",
"boost": "20"
}
}
},
{
"multi_match": {
"fields": ["titre", "description^4", "subtitle^3"],
"query": "test",
"type": "most_fields"
}
}
]
}
}
}
}
}
It works, but I would like to order the match_phrase before other results.
The idea is the user type the exact phrase of a title, this result will appear before other based on multi_match.
Is it possible ?
Hi for a project I am trying to return users from elastic search which are in a range of 2km to 4km away from the search user.
I use the below query
`
{
"size": 1000,
"from": 0,
"_source": "user_id",
"query":{
"bool":{
"must_not": {
"terms": {
"user_id": []
}
},
"filter":[
{
"geo_distance_range":{
"from":"2km",
"to": "4km",
"location":{
"lon":-122.4194,
"lat":37.7749
}
}
}
]
}
}
}`
This query is deleted in elastic search version 6.3 which is the version I am using.
Can anyone please help me solve this use case in elastic search 6.3? Aggregations only returns the number of users in the range but I want to return complete results of all users in the range.
I can't test this, but it seems reasonable that you should be able to combine must and must_not clauses with geo_distance:
"query": {
"bool": {
"must_not": {
"terms": {
"user_id": []
},
"geo_distance": {
"distance": "2km",
"location": [-122.4194, 37.7749]
}
},
"must": {
"geo_distance": {
"distance": "4km",
"location": [-122.4194, 37.7749]
}
}
}
}
Key String will be like
"india,singapore" without quotes.
How to split and search the keyword
Expected result will be match the country with india or singapore.
So far i tried..
{
"_source": "country_name",
"query": {
"bool": {
"must": [
{
"term": {
"country_name.keyword": "india,singapore"
}
}
],
"must_not": [],
"should": []
}
},
"from": 0,
"size": 10,
"sort": [],
"aggs": {}
}
But it will showing only those content have match the exact key string "india,singapore"
you can use terms query in place of term query like below:
{
"_source": "country_name",
"query": {
"bool": {
"must": [
{
"terms": {
"country_name.keyword": ["india","singapore"]
}
}
]
}
},
"from": 0,
"size": 10
}
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 have three following parameters that I will pass to run the query, which are;
query - Either a place name, description or empty,
lat - Either latitude of a place or empty,
lon - Either longitude of a place or empty
Based on above parameters, I get to query list of items based on query scores, then calculate the distance between result and lat, lon.
Now, I have the following script to get the items based on query and distance;
{
"query": {
"function_score": {
"query": {
"bool": {
"must": [{
"multi_match" : {
"query": "Lippo",
"fields": [ "name^6", "city^5", "country^4", "position^3", "address_line^2", "description"]
}
}]
}
},
"functions": [
{
"gauss": {
"position": {
"origin": "-6.184652, 106.7518749",
"offset": "2km",
"scale": "10km",
"decay": 0.33
}
}
}
]
}
}
}
But the thing is, if query is empty, there will be no result at all. What I want is, the result is based on either query or distance.
Is there anyway to achieve this? Any suggestion is appreciated.
setting the zero_terms_query option of multi-match to all should allow you to get the results when query is empty.
Example :
{
"query": {
"function_score": {
"query": {
"bool": {
"must": [{
"multi_match" : {
"query": "Lippo",
"fields": [ "name^6", "city^5", "country^4", "position^3", "address_line^2", "description"],
"zero_terms_query" : "all"
}
}]
}
},
"functions": [
{
"gauss": {
"position": {
"origin": "-6.184652, 106.7518749",
"offset": "2km",
"scale": "10km",
"decay": 0.33
}
}
}
]
}
}
}