Currently using bool query which searches for a combination of both input words or either one of input word on field "Name". How to search on multiple fields using wild cards?
POST inventory_dev/_search
{"from":0,"query":{"bool":{"must":[{"bool":{"should":[{"term":{"Name":{"value":"dove"}}},{"term":{"Name":{"value":"3.75oz"}}},{"bool":{"must":[{"wildcard":{"Name":{"value":"*dove*"}}},{"wildcard":{"Name":{"value":"*3.75oz*"}}}]}}]}}]}},"size":10,"sort":[{"_score":{"order":"desc"}}]}
You can use query_string in place of wildcard query, to search on multiple fields
{
"from": 0,
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
"term": {
"Name": {
"value": "dove"
}
}
},
{
"term": {
"Name": {
"value": "3.75oz"
}
}
},
{
"bool": {
"must": [
{
"query_string": {
"query": "*dove*",
"fields": [
"field1",
"Name"
]
}
},
{
"query_string": {
"query": "*3.75oz*",
"fields": [
"field1",
"Name"
]
}
}
]
}
}
]
}
}
]
}
},
"size": 10,
"sort": [
{
"_score": {
"order": "desc"
}
}
]
}
Related
Documents structure -
{
"hits": [
{
"_type": "_doc",
"_id": "ef0a2c44179a513476b080cc2a585d95",
"_source": {
"DIVISION_NUMBER": 44,
"MATCHES": [
{
"MATCH_STATUS": "APPROVED",
"UPDATED_ON": 1599171303000
}
]
}
},
{
"_type": "_doc",
"_id": "ef0a2c44179a513476b080cc2a585d95",
"_source": {
"DIVISION_NUMBER": 44,
"MATCHES": [ ]
}
}
]
}
Question - MATCHES is a nested array inside there is a text field MATCH_STATUS that can have any values say "APPROVED","REJECTED".
I am looking to search ALL documents that contain MATCH_STATUS having values say "APPROVED", "RECOMMENDED" as well as where there is no data in MATCHES (empty array "MATCHES": [ ]). Please note I want this in a single query.
I am able to do this in two separate queries like this -
GET all matches with status = RECOMMENDED, APPROVED
"must": [
{
"nested": {
"path": "MATCHES",
"query": {
"terms": {
"MATCHES.MATCH_STATUS.keyword": [
"APPROVED",
"RECOMMENDED"
]
}
}
}
}
]
GET all matches having empty array "MATCHES" : [ ]
{
"size": 5000,
"query": {
"bool": {
"filter": [],
"must_not": [
{
"nested": {
"path": "MATCHES",
"query": {
"exists": {
"field": "MATCHES"
}
}
}
}
]
}
},
"from": 0
}
You can combine both queries using should clause.
{
"query": {
"bool": {
"minimum_should_match": 1,
"should": [
{
"nested": {
"path": "MATCHES",
"query": {
"bool": {
"minimum_should_match": 1,
"should": [
{
"terms": {
"MATCHES.MATCH_STATUS.keyword": [
"APPROVED",
"RECOMMENDED"
]
}
}
]
}
}
}
},
{
"bool": {
"must_not": [
{
"nested": {
"path": "MATCHES",
"query": {
"bool": {
"filter": {
"exists": {
"field": "MATCHES"
}
}
}
}
}
}
]
}
}
]
}
}
}
Update: To answer your comment.
Missing aggregation does not support nested field for now. There is open issue as of now.
To get count of empty matches, you can use a filter aggregation with the nested query wrapped into the must_not clause of the bool query.
{
"aggs": {
"missing_matches_agg": {
"filter": {
"bool": {
"must_not": {
"nested": {
"query": {
"match_all": {}
},
"path": "MATCHES"
}
}
}
}
}
}
}
I have been following the guidelines from this post. I can get the desired output but in the same DSL how can I limit the size of results for each index ?
Full text Search with Multiple index in Elastic Search using NEST C#
POST http://localhost:9200/componenttypeindex%2Cprojecttypeindex/Componenttype%2CProjecttype/_search?pretty=true&typed_keys=true
{
"query": {
"bool": {
"should": [
{
"bool": {
"filter": [
{
"term": {
"_index": {
"value": "componenttypeindex"
}
}
}
],
"must": [
{
"multi_match": {
"fields": [
"Componentname",
"Summary^1.1"
],
"operator": "or",
"query": "test"
}
}
]
}
},
{
"bool": {
"filter": [
{
"term": {
"_index": {
"value": "projecttypeindex"
}
}
}
],
"must": [
{
"multi_match": {
"fields": [
"Projectname",
"Summary^0.3"
],
"operator": "or",
"query": "test"
}
}
]
}
}
]
}
}
}
With your given query, you could use aggregations to group and limit number of hits per index (in this case, limiting to 5):
{
"size": 0,
"query": {
... Same query as above ...
},
"aggs": {
"index_agg": {
"terms": {
"field": "_index",
"size": 20
},
"aggs": {
"hits_per_index": {
"top_hits": {
"size": 5
}
}
}
}
}
}
I am very new to elasticsearch trying to understand things better but struggling a bit. I am trying to write query with AND(must) and OR(should) condition. Below elasticsearch query works good. But I need one more zipcode to be added in the condition, it should be or between 2 zipcodes.
Working Query:
{
"_source": {
"includes": [
"Name",
"Address",
"Contact"
]
},
"query": {
"bool": {
"must": [
{
"query_string": {
"fields": [
"firstName",
"lastName",
"middleName"
],
"query": "*andy*"
}
},
{
"match": {
"zipcode": "55555"
}
}
]
}
}
}
how to add zipcode value match in OR condition?
You can either replace match by terms:
{
"terms": {
"zipcode": ["55555", "55556"]
}
}
Or you can add two match clauses in a bool/should:
"bool": {
"must": [
{
"query_string": {
"fields": [
"firstName",
"lastName",
"middleName"
],
"query": "*andy*"
}
}
],
"minimum_should_match": 1,
"should": [
{
"match": {
"zipcode": "55555"
}
},
{
"match": {
"zipcode": "55556"
}
}
]
}
I'm trying to search for keyword and then add nested queries for amenities which is a nested field of an array of objects.
With the query below I am able to search when I'm only matching one amenity id but when I have more than one it doesn't return anything.
Anyone have an idea what is wrong with my query ?
{
"sort": [
{
"_score": {
"order": "desc"
}
},
{
"_geo_distance": {
"geolocation": [
100,
10
],
"order": "asc",
"unit": "m",
"mode": "min",
"distance_type": "sloppy_arc"
}
}
],
"query": {
"bool": {
"must": [
{
"multi_match": {
"fields": [
"name^2",
"city",
"state",
"zip"
],
"fuzziness": 5,
"query": "complete"
}
},
{
"nested": {
"path": "amenities",
"query": {
"bool": {
"must": [
{
"term": {
"amenities.id": "1"
}
},
{
"term": {
"amenities.id": "2"
}
}
]
}
}
}
}
]
}
}
}
When you do:
"must": [
{
"term": {
"amenities.id": "1"
}
},
{
"term": {
"amenities.id": "2"
}
}]
What you're actually saying is find me any document where "amenities.id"="1" and "amenities.id"="2" which unless "amenities.id" is a list of values it won't work.
What you probably want to say is find me any document where "amenities.id"="1" or "amenities.id"="2"
To do that you should use should instead of must:
"should": [
{
"term": {
"amenities.id": "1"
}
},
{
"term": {
"amenities.id": "2"
}
}]
I have the next query that include some filters:
{
"from": 0,
"query": {
"function_score": {
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"idpais": [
115
]
}
},
{
"term": {
"tipo": [
1
]
}
}
],
"must_not": [
{
"term": {
"idregistro": [
5912471,
3433876,
9814443,
11703069,
6333176,
8288242,
9924922,
6677850,
11852501,
12530205,
4703469,
12776479,
12287659,
11823679,
12456304,
12777457,
10977614,
...
]
}
}
]
}
},
"query": {
"bool": {
"should": [
{
"match_phrase": {
"area": "Coordinator"
}
},
{
"match_phrase": {
"company": {
"boost": 5,
"query": "IBM"
}
}
},
{
"match_phrase": {
"topic": "IT and internet stuff"
}
},
{
"match_phrase": {
"institution": {
"boost": 5,
"query": "University of my city"
}
}
}
]
}
}
}
},
"script_score": {
"params": {
"idpais": 115,
"idprovincia": 0,
"relationships": []
},
"script_id": "ScoreUsuarios"
}
}
},
"size": 24,
"sort": [
{
"_script": {
"order": "desc",
"script_id": "SortUsuarios",
"type": "number"
}
}
]
}
The must_not filter has a big bunch of values to exclude (around 200 values), but it looks like elasticsearch ignores those values and it includes on the result set. If I try to set only a few values (10 to 20 values) then elasticsearch applies the must_not filter.
Exists some restriction a bout the amount of values in the filters? Exists some way to remove a big amount of results from the query?
terms query is used for passing a list of values not term query.You have to use it like below in your must filter.
{
"query": {
"terms": {
"field_name": [
"VALUE1",
"VALUE2"
]
}
}
}