I would like to mix a search on a whole document (eg "developer") and a search on some field for another term (eg "php").
I can do each search separately but I can't mix them.
Here my example (simplified to show only my issue) :
{
"query": {
"function_score": {
"query": {
"match": {
"_all": "developer"
},
"multi_match": {
"query": "php",
"fields": [
"skills.description",
"skills.description",
"skills.details"
],
"operator": "or",
"type": "most_fields"
}
}
}
}
If I run this example I have an error :
Parse Failure [Failed to parse source
Is there a way to search on both _all and specific fields with two terms?
Thanks.
Yes, you're almost there, you need to combine them into a bool/must query:
{
"query": {
"function_score": {
"query": {
"bool": {
"must": [
{
"match": {
"_all": "developer"
}
},
{
"multi_match": {
"query": "php",
"fields": [
"skills.description",
"skills.description",
"skills.details"
],
"operator": "or",
"type": "most_fields"
}
}
]
}
}
}
}
}
Related
I am struggling with an elasticsearch query. In the fields option, we have specified '*' which means it should look in all fields as well as given the higher weights to a few fields. But it isn't working as it should.
This query was written by my colleague, it'd be great if you could explain it as well as point out the solution. Here's my query:
{
"query": {
"bool": {
"must": [
{
"simple_query_string": {
"query": "Atoms for Peace",
"default_operator": "AND",
"flags": "PREFIX|PHRASE|NOT|AND|OR|FUZZY|WHITESPACE",
"fields": [
"*",
"systemNumber^5",
"global_search",
"objectType^2",
"partTypes.text",
"partTypes.id",
"gs_am_people^2",
"gs_am_person^2",
"gs_am_org^2",
"gs_title^2",
"_currentLocation.displayName",
"briefDescription",
"physicalDescription",
"summaryDescription",
"_flatPersonsNameId",
"_flatPeoplesNameId",
"_flatOrganisationsNameId",
"_primaryDate",
"_primaryDateEarliest",
"_primaryDateLatest"
]
}
}
]
}
}
Your query is fine but it will not work on field with "nested" data type.
From doc
Searching across all eligible fields does not include nested documents. Use a nested query to search those documents.
You need to use nested query
{
"query": {
"bool": {
"minimum_should_match": 1,
"should": [
{
"simple_query_string": {
"query": "Atoms for Peace",
"default_operator": "AND",
"flags": "PREFIX|PHRASE|NOT|AND|OR|FUZZY|WHITESPACE",
"fields": [
"*",
"systemNumber^5",
"global_search",
"objectType^2",
"partTypes.text",
"partTypes.id",
"gs_am_people^2",
"gs_am_person^2",
"gs_am_org^2",
"gs_title^2",
"_currentLocation.displayName",
"briefDescription",
"physicalDescription",
"summaryDescription",
"_flatPersonsNameId",
"_flatPeoplesNameId",
"_flatOrganisationsNameId",
"_primaryDate",
"_primaryDateEarliest",
"_primaryDateLatest"
]
}
},
{
"nested": {
"path": "record",
"query": {
"simple_query_string": {
"query": "Atoms for Peace",
"default_operator": "AND",
"flags": "PREFIX|PHRASE|NOT|AND|OR|FUZZY|WHITESPACE",
"fields": [
"*"
]
}
}
}
}
]
}
}
}
I use ES 7, I want to search over multi fields, but on this field (title) must be shown firstly if it matches exactly. For now I tried :
{
"query": {
"bool": {
"must": {
"bool": {
"should": [
{
"match_phrase": {
"titre": {
"query": "test",
"boost": "20"
}
}
},
{
"multi_match": {
"fields": ["titre", "description^4", "subtitle^3"],
"query": "test",
"type": "most_fields"
}
}
]
}
}
}
}
}
It works, but I would like to order the match_phrase before other results.
The idea is the user type the exact phrase of a title, this result will appear before other based on multi_match.
Is it possible ?
In my ElasticSearch document index I have a property type like
type= LOCATION | PERSON | TIME
and a text field that represents the whole document.
To search for types like LOCATION and a specific text like `Mountain View" I do like
doc.text:Mountain View AND doc.type:LOCATION
If I want to do a OR query I would use instead the query_string approach like
"query": {
"query_string": {
"query": "entity.text: (Mountain View OR Menlo Park) AND entity.type:LOCATION"
}
}
This works as well. To do AND queries, like searching for item.text having both "Mountain View" and "Menlo Park" for a item.type=LOCATION, it does not work doing like
"query": {
"query_string": {
"query": "entity.text: (California AND Nevada) AND entity.type:LOCATION"
}
}
Other attempts were:
Using bool clause with should like:
{
"query": {
"bool": {
"should": [
{ "match": { "text": "Menlo Park" }},
{ "match": { "text": "Mountain View" }}
]
}
}
}
Using cross-fields with multi_match
"query": {
"multi_match": {
"query": "California Nevada",
"type": "cross_fields",
"operator": "AND",
"fields": [
"text"
]
}
}
Another approach was using must with the latter (in this case omitting the type by the way):
{
"query": {
"bool": {
"must": [
{
"multi_match" : {
"query": "Nevada",
"type": "cross_fields",
"fields": [ "text"],
}
},
{
"multi_match" : {
"query": "California",
"type": "cross_fields",
"fields": [ "text" ]
}
}
]
}
}
}
but it returns no results neither. Note that in the last case using should instead of must will produce an OR query that will work ok.
So how to perform an AND query on the same field text to match multiple values like California and Nevada?
If I understood the question right, I would do the following:
{
"query": {
"bool" : {
"must": [
"match" : {
"text" : {
"query" : "California Nevada",
"operator" : "and"
}
}
]
}
}
}
Documentation
Hope it helps!
Is there any way to boost search results on same field depending on type?
My basic boosting is something like:
GET _search
{
"query": {
"simple_query_string": {
"query": "mangan",
"fields":["_all", "title^6"]
}
}
}
But for some other documents I want title to be less important, so I tried to prefix it with type:
GET _search
{
"query": {
"simple_query_string": {
"query": "mangan",
"fields":[
"_all",
"DocumentationPage.title^6",
"DocumentationPage.title^6"]
}
}
}
But then it does not boost at all. As a last resort I could use Funcsion/Script Score bu would like to avoid it.
For sake of example, assume that document contains just title field.
A simple way to achieve this is re-writing the query in the OP as a dis-max query.
Example for elasticsearch 5.x:
{
"query": {
"dis_max": {
"queries": [
{
"simple_query_string": {
"fields": [
"_all"
],
"query": "mangan"
}
},
{
"bool": {
"filter": {
"type": {
"value": "DocumentationPage"
}
},
"must": [
{
"simple_query_string": {
"fields": [
"title^6"
],
"query": "mangan"
}
}
]
}
}
]
}
}
}
Is there a way to boost the docs that "come" from the has_parent query ?
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"multi_match": {
"fields": ["name^3", "tags^2", "content"],
"query": "xx"
}
},
{
"has_parent": {
"type": "theparent",
"query": {
"multi_match": {
"type": "best_fields",
"fields": ["name^5", "content"],
"query": "xx"
}
}
}
},
{
"has_child": {
"type": "thechild",
"query": {
"multi_match": {
"fields": ["name^3","content"],
"query": "xx"
}
}
}
}
]
}
},
"score_mode": "sum",
"functions": [
{
"linear": {
"date": {
"origin": "2014-08-29",
"scale": "700d",
"decay": 0.6
}
}
}
]
}
}
More exactly, I would like to boost those docs only when the query matches the name field of the parent
(I haven't found a way to refer to a parent field in the functions i.e. theparent._source.name ~= "xx")
According to the sources from Github (see line 104), the boost parameter is allowed within a has_parent query.
Based on this attribute, you can boost specifically the should clause containing the has_parent query. In your case, the result would be :
...
{
"has_parent": {
"type": "theparent",
"query": {
"multi_match": {
"type": "best_fields",
"fields": ["name^5", "content"],
"query": "xx"
}
},
"boost": 5
}
}
...
I don't know if it can help you, but you will find more insights about boosting query clauses here.