I'm trying to work with queries in elasticsearch.
{
"query":{
"bool":{
"should":[
{
"multi_match":{
"query":"History",
"fields":[
"service_category.keyword"
]
}
},
{
"terms":{
"company_id":[
"6"
]
}
}
]
}
}
}
Here it is my query.
The result is: All fields that takes service_category=History and all service_category that have company_id = 6.
Now I want to change the result to: All fields that takes service_category=History & company_id=2 also service_categories with company_id = 6.
I want my answer to be something like :
(service_category.keyword:History AND company_id:2)AND (company_id:6)
I suppose you could go with:
{
"query": {
"bool": {
"should": [
{
"bool": {
"must": [
{
"multi_match": {
"query": "History",
"fields": [ "service_category.keyword" ]
}
},
{
"terms": {
"company_id": [ "2" ]
}
}
]
}
},
{
"terms": {
"company_id": [ "6" ]
}
}
]
}
}
}
which can be understood as:
(service_category.keyword:History AND company_id:2) OR (company_id:6)
I have the following Elasticsearch query (its usually bigger, but stripped out the part which causes the issues):
'query' => [
'bool' => [
'must' => [
'query_string' => [
'query' => $keywords,
'fields' => ['title']
]
],
'filter' => [
'term' => [
'school_id' => 1
]
]
]
]
But if I remove the filter it's working fine, but what I want is to filter only the search with the specific school id.
Why don't you instead of filtering the data - just take what you need in the first place?
Filtering is used for a binary result-in a sense, if you would like to know if a document field school_id is 1 or not. If you just want to get a result there is other ways to do it as well.
In your case I think believed you just "jumped" over the mustand the bool and this is the reason your query failed.
As so, you got 2 options, the first to fix yours as follows:
GET /_search
{
"query": {
"bool": {
"must": {
"query_string": {
"default_field": "keywords",
"query": "title"
}
},
"filter": {
"bool": {
"must": [
{
"term": {
"school_id": "1"
}
}
]
}
}
}
}
}
OR if you wish to get a scoring to your result you can use this one:
GET /_search
{
"query": {
"bool": {
"must": [
{
"query_string": {
"default_field": "keywords",
"query": "title"
}
},
{
"match": {
"school_id": {
"query": "1"
}
}
}
]
}
}
}
I am currently trying to migrate a solr-based application to elasticsearch.
I have this lucene query:
((
name:(+foo +bar)
OR info:(+foo +bar)
)) AND state:(1) AND (has_image:(0) OR has_image:(1)^100)
As far as I understand this is a combination of must clauses combined with boolean OR:
Get all documents containing (foo AND bar in name) OR (foo AND bar in info). After that filter results by condition state=1 and boost documents that have an image.
I have been trying to use a bool query with must but I am failing to get boolean OR into must clauses. Here is what I have:
GET /test/object/_search
{
"from": 0,
"size": 20,
"sort": {
"_score": "desc"
},
"query": {
"bool": {
"must": [
{
"match": {
"name": "foo"
}
},
{
"match": {
"name": "bar"
}
}
],
"must_not": [],
"should": [
{
"match": {
"has_image": {
"query": 1,
"boost": 100
}
}
}
]
}
}
}
As you can see, must conditions for info are missing.
** UPDATE **
I have updated my elasticsearch query and got rid of that function score. My base problem still exists.
OR is spelled should
AND is spelled must
NOR is spelled should_not
Example:
You want to see all the items that are (round AND (red OR blue)):
{
"query": {
"bool": {
"must": [
{
"term": {"shape": "round"}
},
{
"bool": {
"should": [
{"term": {"color": "red"}},
{"term": {"color": "blue"}}
]
}
}
]
}
}
}
You can also do more complex versions of OR, for example, if you want to match at least 3 out of 5, you can specify 5 options under "should" and set a "minimum_should" of 3.
Thanks to Glen Thompson and Sebastialonso for finding where my nesting wasn't quite right before.
Thanks also to Fatmajk for pointing out that "term" becomes a "match" in ElasticSearch Version 6.
I finally managed to create a query that does exactly what i wanted to have:
A filtered nested boolean query.
I am not sure why this is not documented. Maybe someone here can tell me?
Here is the query:
GET /test/object/_search
{
"from": 0,
"size": 20,
"sort": {
"_score": "desc"
},
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"state": 1
}
}
]
}
},
"query": {
"bool": {
"should": [
{
"bool": {
"must": [
{
"match": {
"name": "foo"
}
},
{
"match": {
"name": "bar"
}
}
],
"should": [
{
"match": {
"has_image": {
"query": 1,
"boost": 100
}
}
}
]
}
},
{
"bool": {
"must": [
{
"match": {
"info": "foo"
}
},
{
"match": {
"info": "bar"
}
}
],
"should": [
{
"match": {
"has_image": {
"query": 1,
"boost": 100
}
}
}
]
}
}
],
"minimum_should_match": 1
}
}
}
}
}
In pseudo-SQL:
SELECT * FROM /test/object
WHERE
((name=foo AND name=bar) OR (info=foo AND info=bar))
AND state=1
Please keep in mind that it depends on your document field analysis and mappings how name=foo is internally handled. This can vary from a fuzzy to strict behavior.
"minimum_should_match": 1 says, that at least one of the should statements must be true.
This statements means that whenever there is a document in the resultset that contains has_image:1 it is boosted by factor 100. This changes result ordering.
"should": [
{
"match": {
"has_image": {
"query": 1,
"boost": 100
}
}
}
]
Have fun guys :)
This is how you can nest multiple bool queries in one outer bool query
this using Kibana,
bool indicates we are using boolean
must is for AND
should is for OR
GET my_inedx/my_type/_search
{
"query" : {
"bool": { //bool indicates we are using boolean operator
"must" : [ //must is for **AND**
{
"match" : {
"description" : "some text"
}
},
{
"match" :{
"type" : "some Type"
}
},
{
"bool" : { //here its a nested boolean query
"should" : [ //should is for **OR**
{
"match" : {
//ur query
}
},
{
"match" : {}
}
]
}
}
]
}
}
}
This is how you can nest a query in ES
There are more types in "bool" like,
Filter
must_not
I recently had to solve this problem too, and after a LOT of trial and error I came up with this (in PHP, but maps directly to the DSL):
'query' => [
'bool' => [
'should' => [
['prefix' => ['name_first' => $query]],
['prefix' => ['name_last' => $query]],
['prefix' => ['phone' => $query]],
['prefix' => ['email' => $query]],
[
'multi_match' => [
'query' => $query,
'type' => 'cross_fields',
'operator' => 'and',
'fields' => ['name_first', 'name_last']
]
]
],
'minimum_should_match' => 1,
'filter' => [
['term' => ['state' => 'active']],
['term' => ['company_id' => $companyId]]
]
]
]
Which maps to something like this in SQL:
SELECT * from <index>
WHERE (
name_first LIKE '<query>%' OR
name_last LIKE '<query>%' OR
phone LIKE '<query>%' OR
email LIKE '<query>%'
)
AND state = 'active'
AND company_id = <query>
The key in all this is the minimum_should_match setting. Without this the filter totally overrides the should.
Hope this helps someone!
If you were using Solr's default or Lucene query parser, you can pretty much always put it into a query string query:
POST test/_search
{
"query": {
"query_string": {
"query": "(( name:(+foo +bar) OR info:(+foo +bar) )) AND state:(1) AND (has_image:(0) OR has_image:(1)^100)"
}
}
}
That said, you may want to use a boolean query, like the one you already posted, or even a combination of the two.
$filterQuery = $this->queryFactory->create(QueryInterface::TYPE_BOOL, ['must' => $queries,'should'=>$queriesGeo]);
In must you need to add the query condition array which you want to work with AND and in should you need to add the query condition which you want to work with OR.
You can check this: https://github.com/Smile-SA/elasticsuite/issues/972
I'm trying to add the geoip map to kibana, following the into to logshash
I can see the correct output from the rubydebug codec:
"geoip" => {
"location" => [
[0] -122.3426,
[1] 47.739599999999996
],
But when I query elasticsearch (using the query from kibana) for anything with a "geoip.location" field I get all the results. And none of the results have a geoip field.
{
"query": {
"filtered": {
"query": {
"bool": {
"should": [
{
"query_string": {
"query": "*"
}
}
]
}
},
"filter": {
"bool": {
"must": [
{
"range": {
"#timestamp": {
"from": 1409025267221,
"to": 1409111667222
}
}
},
{
"exists": {
"field": "geoip.location"
}
}
]
}
}
}
},
"fields": [
"geoip.location",
"_id"
],
"size": 1000,
"sort": [
{
"#timestamp": {
"order": "desc"
}
}
]
}
Nevermind, it was that the dates were out of range. When I added some recent data they showed up on the map
Can anyone help me with this query? I am getting an error returned: "No query registered for [or]" Did I structure this wrong? It's supposed to filter all results where area is 530 and start is blank OR area is 530 and start is "06192013", then based on that boost the document with the other filters.
{
"query": {
"custom_filters_score": {
"query": {
"bool": {
"must": [
{"field":{"sector":"sector1"}},
{"term":{"user_type":"ghost"}},
{"term":{"area":"530"}}
]
},
"filter":{
"or": [
{
"and": [
{"term":{"area":"530"}},
{"term":{"start":"06192013"}}
]
},
{
"and": [
{"term":{"area":"530"}},
{"term":{"start":"blank"}}
]
}
]
}
},
"filters": [
{"filter":{"term":{"relevance" :5726}},"boost":"1000"},
{"filter":{"term":{"relevance2":5726}},"boost":"100"}
],
"score_mode":"total"
}
}
}
The filter object that contains the or filter is misplaced. I guess you wanted to use a filtered query containing the bool query and the or filter like this:
{
"filtered" : {
"bool": {
"must": [
{"field":{"sector":"sector1"}},
{"term":{"user_type":"ghost"}},
{"term":{"area":"530"}}
]
},
"filter" : {
"or": [
{
"and": [
{"term":{"area":"530"}},
{"term":{"start":"06192013"}}
]
},
{
"and": [
{"term":{"area":"530"}},
{"term":{"start":"blank"}}
]
}
]
}
}
}