I am working on Elasticsearch(7.1.1) nested queries using java API for nested mapping index I have on my local machine. I am getting a response that are not the same as the rest api query I have.
I have a mapping that specify it is nested and it works fine when I tested it on kibana.
Here is an example query using Rest api.
GET my-index/_search
{
"query":{
"bool":{
"must":[
{
"nested":{
"path":"xx.yy.",
"query":{
"bool":{
"must":[
{
"match":{
"xx.yy.NAME":"cc"
}
},
{
"match":{
"xx.yy..VALUE":"ss"
}
}
]
}
}
}
},
{
"nested":{
"path":"xx.yy",
"query":{
"bool":{
"must":[
{
"match":{
"xx.yy.NAME":"ff"
}
},
{
"match":{
"xx.yy.VALUE":"ee"
}
}
]
}
}
}
},
{
"nested":{
"path":"xx.yy",
"query":{
"bool":{
"must":[
{
"match":{
"xx.yy.NAME":"kk"
}
},
{
"match":{
"xx.yy.VALUE":"gg"
}
}
]
}
}
}
}
]
}
}
}
And here is an equivalent java code I come up with.
searchSourceBuilder.query( QueryBuilders.boolQuery ()
.must(QueryBuilders.nestedQuery( path, matchQuery ( fNameOne, fValueOne ),ScoreMode.Avg )).minimumShouldMatch ( 1 )
.must(QueryBuilders.nestedQuery( path, matchQuery ( fNameTwo, fValueTwo ),ScoreMode.Avg )).minimumShouldMatch ( 1 )
.must(QueryBuilders.nestedQuery (path, matchQuery ( fNameThree, fValueThree ),ScoreMode.Avg )).minimumShouldMatch(1));
Can anyone point me where I made a mistake or give me direction how to tackle this problem? Your help is highly appreciated.
Related
I want to have three conditions in my elasticsearch query and accordingly I have written as below. But I don't know why it is returning a DOCUMENT where AMOUNT is 250 and it EXISTS whereas my condition is ATLEAST one of the two i.e. AMOUNT less than or equal to zero or AMOUNT should not exist.
Below is the DSL Query
{
"from":0,
"size":10,
"track_total_hits":true,
"_source": ["amount", "npa_stageid_loanaccounts"],
"query":{
"bool":{
"must":[
{
"query_string":{
"default_field":"npa_stageid_loanaccounts.keyword",
"query":"Y"
}
},
{
"bool":{
"minimum_should_match":1,
"should":[
{
"range":{
"Amount":{
"lte":0
}
}
},
{
"bool":{
"must_not":[
{
"exists":{
"field":"Amount"
}
}
]
}
}
]
}
}
]
}
}
}
In your documents, you have amount but in your query you have Amount, the casing is not the same.
Look at my use case below
Two nested fields
base1.point1
base1.point2
base1.point3
base1.point4
and
base2.point1
base2.point2
base2.point3
base2.point4
search condition
(
(base1.point1 AND base1.point2) OR (base1.point2 AND base1.point3)
)
AND
(
(base2.point1 AND base2.point2) OR (base2.point2 AND base2.point3)
)
Please help for writing above in a single query.
Note that I'm assuming that when you meant nested you are actually talking about Nested Datatype and not plain Object Datatype
Also looking at your question, you are only concerned if the nested fields exists or not, regardless of their values. For such use cases you would need to make use of Exists Query.
Below is how my Nested Query would be:
POST <you_index_name>/_search
{
"query":{
"bool":{
"must":[
{
"bool":{
"should":[
{
"bool":{
"must":[
{
"nested":{
"path":"base1",
"query":{
"exists":{
"field":"base1.point1"
}
}
}
},
{
"nested":{
"path":"base1",
"query":{
"exists":{
"field":"base1.point2"
}
}
}
}
]
}
},
{
"bool":{
"must":[
{
"nested":{
"path":"base1",
"query":{
"exists":{
"field":"base1.point2"
}
}
}
},
{
"nested":{
"path":"base1",
"query":{
"exists":{
"field":"base1.point3"
}
}
}
}
]
}
}
]
}
},
{
"bool":{
"should":[
{
"bool":{
"must":[
{
"nested":{
"path":"base2",
"query":{
"exists":{
"field":"base2.point1"
}
}
}
},
{
"nested":{
"path":"base1",
"query":{
"exists":{
"field":"base2.point2"
}
}
}
}
]
}
},
{
"bool":{
"must":[
{
"nested":{
"path":"base2",
"query":{
"exists":{
"field":"base2.point2"
}
}
}
},
{
"nested":{
"path":"base2",
"query":{
"exists":{
"field":"base2.point3"
}
}
}
}
]
}
}
]
}
}
]
}
}
}
Hope this helps!
I need to filter an ES query where the value of a date field is LTE a given value or the field is missing altogether. Here's my query at this point:
{
"from":0,
"size":50,
"query":{
"bool":{
"filter":[
{
"term":{
"corpusid.string.as_is":"42:6:4"
}
},
{
"nested":{
"path":"category.object",
"query":{
"bool":{
"must":[
{
"bool":{
"should":[
{
"range":{
"category.object.startdate":{
"lte":"2021-03-09T19:32:11.316Z"
}
}
},
{
"must_not":[
{
"exists":{
"field":"category.object.startdate"
}
}
]
}
]
}
}
]
}
}
}
}
]
}
}
}
When I submit that query, I get the error "[must_not] query malformed, no start_object after query name". We're running ElasticSearch version 5.3.1 in case that matters.
I refactored the query a bit. Removed a must, added a bool for the must_not.
{
"from":0,
"size":50,
"query":{
"bool":{
"filter":[
{
"term":{
"corpusid.string.as_is":"42:6:4"
}
},
{
"nested":{
"path":"category.object",
"query":{
"bool":{
"should": [
{
"range":{
"category.object.startdate":{
"lte":"2021-03-09T19:32:11.316Z"
}
}
},
{
"bool": {
"must_not": {
"exists": {
"field": "category.object.startdate"
}
}
}
}
]
}
}
}
}
]
}
}
}
I'm trying to create a query with elasticsearch to filter the records of the same city and price.
But the city filter is not working.
POST diadeturista/services/_search
{
"query":{
"bool":{
"must":[
],
"filter":{
"bool":{
"must":{
"terms":{
"city":[
"Contagem"
]
},
"range":{
"price_adult":{
"lte":"300",
"gte":"150"
}
}
}
}
}
}
}
}
SHow me this error:
[terms] malformed query, expected [END_OBJECT] but found [FIELD_NAME]
I think what you want todo is
{
"query":{
"bool":{
"must": [
{
"terms":{
"city":[
"Contagem"
]
}
},
{
"range":{
"price_adult":{
"lte":"300",
"gte":"150"
}
}
}
]
}
}
}
How to full text search and have filter? I want to search for a text among documents with language_id=10. I've tried it this way:
{
"query": {
"query_string": {
"query": "Declared"
},
{
"filtered": {
"filter": {
"term": {
"language_id": 10
}
}
}
}
}
}
but seems like it's not correct. How to correct it?
In version 5.2, filtered query is replaced by the bool query, and returns error on my Elastic 5.2 instance. See here.
The new syntax is:
{
"query":{
"bool":{
"must":{
"query_string":{
"query":"Declared"
}
},
"filter":{
"term":{
"language_id":10
}
}
}
}
}
Yep, the syntax of the filtered query is a bit cumbersome. AFAIK it should look like that:
{
"query":{
"filtered":{
"query":{
"query_string":{
"query":"Declared"
}
},
"filter":{
"term":{
"language_id":10
}
}
}
}
}
Sorry Ashalynd but the filter is not placed a the right place in your answer.
This is working better:
{
"query":{
"filtered":{
"query":{
"query_string":{
"query":"Declared"
}
},
"filter":{
"term":{
"language_id":10
}
}
}
}
}