I use ElasticSearch 7.0, and I have this simple query :
"bool": {
"must": {
"match": {
"title": {
"query": "engineer"
}
}
},
"filter": {
"0": {
"term": {
"type_id": 1
}
},
"term": {
"active": 1
}
}
}
And I get this error :
[match] malformed query, expected [END_OBJECT] but found [FIELD_NAME]
I tried :
"must": {
"match": {
"title": "engineer"
}
},
But same error, I can't see my syntax mistake here ? I have same query working with multimatch with same filters.
Your filters must be enclosed in an array, like this:
{
"bool": {
"must": {
"match": {
"title": {
"query": "engineer"
}
}
},
"filter": [
{
"term": {
"type_id": 1
}
},
{
"term": {
"active": 1
}
}
]
}
}
Related
I'd like to use not equal in my filter but it doesn't work [13:24] [bool] failed to parse field [filter]:
"query": {
"bool": {
"filter": [
{
"must_not" : {
"term" : {
"status" : "DECLINED"
}
}
},
{
"term": { "type": "ORDER"}
}
]
}
}
it works if I put the must_not under query like below. How can I put not equal in filter?
"query": {
"bool": {
"must_not": {
"term": {
"status": "DECLINED"
}
},
"filter": ...
May be one more bool needed inside the filter ?
/_search
{
"query": {
"bool": {
"filter": {
"bool": {
"must": [
{
"term": { "type": "ORDER"}
}
],
"must_not": [
{
"term": {
"status": "DECLINED"
}
}
]
}
}
}
}
}
I have a query as follows to use function_score but it gives an error that the query is malformed and [END_OBJECT] is expected but found [FIELD_NAME]. I have checked the documentation and couldn't find what is incorrect or inconsistent with this. I haven't added any script in script_score here but even when I tried with adding script it gave the same problem.
{
"from": 0,
"query": {
"function_score": {
"query": {
"bool": {
"filter": [
{
"bool": {
"should": [
{
"bool": {
"must": [
{
"match": {
"address.area.area.raw": "Durbarmarg"
}
},
{
"match": {
"address.area.city.raw": "Kathmandu"
}
},
{
"match": {
"address.area.district.raw": "Kathmandu"
}
},
{
"match": {
"address.area.state.raw": "State-3"
}
},
{
"match": {
"address.area.country.raw": "Nepal"
}
}
]
}
},
{
"nested": {
"inner_hits": {},
"path": "branchAddress",
"query": {
"bool": {
"must": [
{
"match": {
"branchAddress.area.area.raw": "Durbarmarg"
}
},
{
"match": {
"branchAddress.area.city.raw": "Kathmandu"
}
},
{
"match": {
"branchAddress.area.district.raw": "Kathmandu"
}
},
{
"match": {
"branchAddress.area.state.raw": "State-3"
}
},
{
"match": {
"branchAddress.area.country.raw": "Nepal"
}
}
]
}
}
}
}
]
}
}
],
"must": [
{
"term": {
"sub_categories.raw": "Restaurant"
}
}
],
"must_not": [],
"should": []
}
}
},
"script_score": {}
},
"size": 10
}
The error is as bellow:
raise HTTP_EXCEPTIONS.get(status_code, TransportError)(status_code, error_message, additional_info)
elasticsearch.exceptions.RequestError: TransportError(400, 'parsing_exception', '[function_score] malformed query, expected [END_OBJECT] but found [FIELD_NAME]')
The script_score section is not at the right place, it needs to be a sibling of the inner query:
{
"from": 0,
"query": {
"function_score": {
"query": {
...
},
"script_score": {} <--- script_score goes here
}
},
"size": 10
}
After running the below query, i am getting the exception as No query registered for [exists]. Please help me.
{
"query": {
"function_score": {
"query": {
"bool": {
"must": {
"match": {
"_all": {
"query": "cardio new york"
}
}
}
}
},
"functions": [
{
"gauss": {
"geo_location": {
"origin": {
"lat": 40.7127,
"lon": -74.0059
},
"scale": "100km",
"offset": "0km",
"decay": 0.9
}
}
},
{
"gauss": {
"startdate": {
"origin": "now",
"scale": "30d",
"offset": "30d"
}
},
"weight": 0.5
}
],
"filter": {
"query": {
"bool": {
"must": {
"match": {
"_all": {
"query": "cardio new york"
}
}
},
"should": {
"exists": {
"fields": [
"venue",
"geo_location"
]
}
}
}
}
}
}
}
}
I am trying to filter the search results after the function_score with combining bool match query.
exists is not a query, it's filter you cannot use it in a bool query, instead I would use bool filter and wrap only match into query filter like this:
"filter": {
"bool": {
"must": [{
"query": {
"match": {
"_all": {
"query": "cardio new york"
}
}
}
}, {
"exists": {
"fields": [
"venue",
"geo_location"
]
}
}]
}
}
This depends on your version, before version 2.0 you would use the Exists filter, as demonstrated in imotov's answer.
With 2.0 and after exists filter has been replaced by exists query documentation for current version
thus the newer exists query would look like the following:
{
"index": "foobars",
"type": "foo",
"body": {
"query": {
"bool": {
"must":
{"exists" : { "field" : "bar" }}
}
},
"from": 0,
"size": 20
}
}
I'm running Elasticsearch 1.5.2 and trying the following query:
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"gender": "male"
}
}
]
}
},
"query": {
"bool": {
"must": [
{
"match_all": {}
}
],
"should": [
{
"term": {
"top_users": 1,
"boost": 2
}
}
]
}
}
}
}
}
Everything is fine until I add the "boost": 2 to the should -> term part. The complete query is much more complex, that's why I need to boost, but the remaining queries don't make any difference: ES returns an error 400 if a term query gets a boost argument:
QueryParsingException[[index_name] [_na] query malformed, must start with start_object]
Any suggestions?
It should be like this:
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"gender": "male"
}
}
]
}
},
"query": {
"bool": {
"must": [
{
"match_all": {}
}
],
"should": [
{
"term": {
"top_users": {
"value": "1",
"boost": 2
}
}
}
]
}
}
}
}
}
I'm trying to replicate the below query logic in an elastic search query but something's not right.
Basically the query below returns one doc. I'd like either the first condition to be applied: "name": "iphone" OR the more complex second one which is: (username = 'gogadget' AND status_type = '1' AND created_time between 4532564 AND 64323238). Note that the nested bool must inside the should would take care of the more complex condition. I should still see 1 doc if I change the outside match of "name": "iphone" to be changed to "name": "wrong value". But I get nothing when I do that. I'm not sure where this is wrong.
The SQL Query is here below.
SELECT * from data_points
WHERE name = 'iphone'
OR
(username = 'gogadget' AND status_type = '1' AND created_time between 4532564 AND 64323238)
{
"size": 30,
"query": {
"bool": {
"must": [
{
"bool": {
"minimum_should_match": "1",
"should": [
{
"bool": {
"must": [
{
"match": {
"username": "gogadget"
}
},
{
"terms": {
"status_type": [
"3",
"4"
]
}
},
{
"range": {
"created_time": {
"gte": 20140712,
"lte": 1405134711
}
}
}
]
}
}
],
"must": [],
"must_not": []
}
},
{
"match": {
"name": "iphone"
}
}
]
}
}
}
should query will match the query and return.
You don't need use must to aggregate your OR query.
The query should like:
{
"query": {
"bool": {
"should": [{
"bool": {
"must": [{
"match": {
"username": "gogadget"
}
}, {
"terms": {
"status_type": [
"3",
"4"
]
}
}, {
"range": {
"created_time": {
"gte": 20140712,
"lte": 1405134711
}
}
}]
}
}, {
"match": {
"name": "iphone"
}
}]
}
}
}