I have an index with following document structure with 5 fields. I have written a search query as follows :
{
"query": {
"query_string": {
"fields": [
"field1.keyword",
"field2.keyword",
"field3.keyword"
],
"query": "*abc*"
}
},
"from": 0,
"size": 1000
}
This works fine but as a new requirement I have to search only in documents where field4 has a given set of values suppose (1,2,3) and omit rest of the documents.
It is possible for me to obtain a list of field4 values which are to be omitted as they are present in the db with skip status.
Please suggest a solution for the same.Thanks in advance.
I suggest using a filter query inside a bool query to match the docs that meet the condition.
{
"query": {
"bool": {
"must": {
"query_string": {
"fields": [
"field1.keyword",
"field2.keyword",
"field3.keyword"
],
"query": "*abc*"
}
},
"filter": {
"terms": {
"field4.keyword": [1, 2, 3]
}
}
}
}
}
Related
assuming that index's name is index & document 1's id is "1"
how can i query in single document?
something like this..
GET index/_search
{
"query": {
"id": "1",
"terms": ["is this text in document 1?"]
}
}
or
GET index/_doc/1/_search
{
...
}
far as i found,
GET test/_doc/_search
{
"query": {
"terms" : {
"_id" : ["1"]
}
}
}
this will get the document id of "1", but cannot perform any further queries.
the reason i want to query inside single document is because my app is using live-news view
and once news is retrieved from server, i want to search it in elasticsearch for keywork higlighting, and spam filtering.
You have to compose your query with Boolean Query
The best approch is to specify the id query under the filter because it will not have effect on scoring. You can next specify queries under must, must_not and should, according to your need :
GET index/_search
{
"from": 0,
"size": 10,
"query": {
"bool": {
"must": [
{
"term": {
"field": "value"
}
}
],
"must_not": [],
"should": [],
"filter": [
{
"terms": {"_id": ["1"]}
}
]
}
}
}
What I want to search is to extract documents among certain range of documents, not the whole documents. I know ids of documents. For example, I want to query matching some sentences with query field - 'pLabel' among the documents ids of which I know via different process. My trial is as below but I got bunch of documents which is different with my expectation.
For example, in such documents as eid1, eid2...etc groups, I want to query filtering out the matching documents out of the groups (eid1, eid2, eid3, ...). Query is shown as below.
How I fix query statement to get the right search result?
{
"query": {
"bool": {
"must": [
{
"query_string": {
"default_field": "pLabel" ,
"query": "search words here"
}
}
] ,
"must_not": [] ,
"should": [
{
"term": {
"eid": "eid1"
}
} ,
{
"term": {
"eid": "eid2"
}
}
]
}
} ,
"size": 0 ,
"_source": [
"eid"
] ,
"aggs": {
"eids": {
"terms": {
"field": "eid" ,
"size": 1000
}
}
}
}
You need to move the should clause of the Doc IDs inside the must clause.
Right now the query can return any document that matches the query_string clause, it'll only prefer docs that matches the Doc IDs.
Also, you should use terms query
{
"query": {
"bool": {
"must": [
{
"query_string": {
"default_field": "pLabel",
"query": "search words here"
}
},
{
"terms": {
"user": ["eid1", "eid2"]
}
}
]
}
},
"size": 0,
"_source": [
"eid"
],
"aggs": {
"eids": {
"terms": {
"field": "eid",
"size": 1000
}
}
}
}
What will be the query to retrieve the number of documents not found in a query
This is my Query
$params['body']['query']["bool"]["filter"]["terms"]["feild"] = (list);
I want to retrieve the documents not found from the list.
If my List has (A,B,C). i just need to know that C is not indexed. I don't Need A,B,D,E,F or all of the remaining documents in index.
You can use must_not clause to achieve the negation of your query as shown below:
GET my-index/_search
{
"query": {
"constant_score": {
"filter": {
"bool": {
"must_not": {
"terms": {
"field": [
"value-1", "value-2"
]
}
}
}
}
}
}
}
must_not with aggregation will give more details about that field values which you are not expecting :-
{
"_source":false,
"query": {
"bool": {
"must_not": [
{"term": {"aFieldName": "aFieldValue"}}
]
}
},
"aggregations": {
"byLocation": {
"terms": {
"field": "aFieldName"
}
}
}
}
I need the values of only one field and there are duplicate values in it.
POST _search
{
"query": {
"bool": {
"must": [
{"term": {
"report": {
"value": "some_value"
}
}}
]
}
},
"fields": [
"field_name"
]
}
I need only the distinct values of field_name.
What if you have your query, with the use of terms aggregation and then by applying a top_hits aggregation in order to narrow down to the single value which you wanted to achieve:
"aggs": {
"values": {
"terms": {
"field": "your_field"
}
}
}
This SO could be helpful as well.
I am using Elasticsearch I want to write a query for getting unique record on the basis of query and group:
SELECT * from users where name='%john%', age='21', location='New York' group by name
Could you please let me know how to write the query in elasticsearch with query.
It would go something like this. You need a filtered query with a query_string in the query part to match *john* and then two filters in the filter part to match the age and the location. Finally, the grouping is achieved using a terms aggregation.
{
"query": {
"query": {
"query_string": {
"query": "*john*",
"default_field": "name"
}
},
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"age": 21
}
},
{
"term": {
"location": "New York"
}
}
]
}
}
}
},
"aggs": {
"group_by_name": {
"terms": {
"field": "name"
}
}
}
}