The following Query in the elasticsearch will give results located within the specified distance. The result doesn't includes the actual distance. Is there any way to get this information in elasticsearch ?
"query": {
"bool" : {
"must" : {
"match_all" : {}
},
"filter" : {
"geo_distance" : {
"distance" : "12km",
"pin.location" : [-70, 40]
}
}
}
}
Use a script field with the same reference point as in the geo_distance filter. Full query:
{
"query": {
"bool": {
"must": {
"match_all": {}
},
"filter": {
"geo_distance": {
"distance": "5000km",
"pin.location": [
-70,
40
]
}
}
}
},
"script_fields": {
"distance_in_m": {
"script": "doc['pin.location'].arcDistance(40, -70)"
}
}
}
OR
geo-sort and you'll get the distance info included in the sort response.
Related
I have got a DOC 'company' and a TYPE 'user'. Inside 'user' there is a field called 'locations' and this is an array. Every location has a field called 'point' which is a GeoPoint as a string "40.748770,-73.985487". How can I get the points nearby this point?
This example I'm showing bellow is not working:
GET /company/user/_search
{
"query": {
"bool" : {
"must" : {
"match_all" : {}
},
"filter" : {
"geo_distance" : {
"distance" : "500m",
"locations.point" : "40.748770, -73.985487"
}
}
}
}
}
Below example might help you,
GET /company/user/_search
{
"query": {
"filtered": {
"filter": {
"geo_distance": {
"distance": "1km",
"location": {
"lat": 40.715,
"lon": -73.988
}
}
}
}
}
}
I have a query in Elastic search to get unique values for specific field.
How to get Unique values using where clause.
where field1:xyz, field2:yzx etc
{
"size": 20,
"aggs" : {
"pf" : {
"terms" : { "field" : "platform" }
}
}}
I think you are looking for aggregations with filters
{
"size":0, // <-- If you are using ES 2.0 or above, setting size=0 will only return aggregations and no results
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"bool": {
"must": [{
"term": {
"field1": "xyz"
}
}, {
"term": {
"field2": "abc"
}
}]
}
}
}
},
"aggregations": {
"pf": {
"terms": {
"field": "platform"
}
}
}
}
I have two assembled queries that work as expected.
First one uses constant score, while matching range between two values:
GET /_search
{
"query" : {
"constant_score" : {
"filter" : {
"range" : {
"locationId" : {
"gte" : 100012138,
"lt" : 101000349
}
}
}
}
}
}
The second one searches for bool.
GET /_search
{
"query": {
"filtered": {
"query": {
"bool": {
"must": [{
"match": {
"name": "Barcelona"
}
}]
}
}
}
}
}
Now I need to merge them and I am struggling how, because tried many combinations of putting in different scopes, but not successful.
So this query returns an error.
GET /_search
{
"query": {
"filtered": {
"query": {
"bool": {
"must": [{
"match": {
"name": "sÃdlisko"
}
}]
}
}
},
"constant_score" : {
"filter" : {
"range" : {
"locationId" : {
"gte" : 100012138,
"lt" : 1000010349
}
}
}
}
}
}
Error:
... failed to parse search source. expected field name but got
[START_OBJECT]
You could just put constant score query inside bool must clause
{
"query": {
"filtered": {
"query": {
"bool": {
"must": [
{
"match": {
"name": "sidlisko"
}
},
{
"constant_score": {
"filter": {
"range": {
"locationId": {
"gte": 100012138,
"lt": 1000010349
}
}
}
}
}
]
}
}
}
}
}
I've managed to establish this query and it appears to work.
This looks as the most optimised one.
GET /_search
{
"query": {
"filtered": {
"query": {
"bool": {
"must": [{
"match": {
"fullAddress": "sidlisko"
}
}]
}
},
"filter" : {
"range" : {
"locationId" : {
"gte": 100012138,
"lt": 1000010349
}
}
}
}
}
}
I have got a problem with my query :
I recive hits with StarDate out of filter range, for e.q 2016-09-07 ...
"query" :{
"bool" : {
"must" : {
"range": {
"StartDate" : {
"gte" : "2016-09-18 00:18:32"
}
}
},
"must" :{
"query_string":{
"query":"WR_WRO_GGAJOWICKA_B"
}
}
Your second must clause overrides the first one with the constraint on StartDate, and hence only the query_string query kicks in. You need to write your query like this instead:
{
"query": {
"bool": {
"must": [
{
"range": {
"StartDate": {
"gte": "2016-09-18 00:18:32"
}
}
},
{
"query_string": {
"query": "WR_WRO_GGAJOWICKA_B"
}
}
]
}
}
}
I am trying to use Elastic Search and I am stuck trying to query for the nested object.
Basically my object is of the following format
{
"name" : "Some Name",
"field2": [
{
"prop1": "val1",
"prop2": "val2"
},
{
"prop1": "val3",
"prop2":: "val4"
}
]
}
Mapping I used for the nested field is the following.
PUT /someval/posts/_mapping
{
"posts": {
"properties": {
"field2": {
"type": "nested"
}
}
}
}
Say now i insert elements for /field/posts/1 and /field/posts/2 etc. I have k values for field2.prop1 and i want a query which gets the posts sorted based on most match of field2.prop1 among the K values i have. What would be the appropriate query for that.
Also I tried a simple filter but even that doesnt seem to work right.
GET /someval/posts/_search
{
"query": {
"filtered": {
"query": {
"match_all": {}
}
},
"filter" : {
"nested" : {
"path" : "field2",
"filter" : {
"bool" : {
"must" : [
{
"term" : {"field2.prop1" : "val1"}
}
]
}
},
"_cache" : true
}
}
}
}
The above query should match atleast the first post. But it returns no match. Can anyone help to clarify whats wrong here ?
There was problem in your json structure, you used filtered query , but filter(object) was in different level than query.
Find the difference.
POST /someval/posts/_search
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"nested": {
"path": "field2",
"filter": {
"bool": {
"must": [
{
"term": {
"field2.prop1": "val1"
}
}
]
}
},
"_cache": true
}
}
}
}
}