The mapping contains nested fields which shouldn't be analyzed (not sure if the 'not_analyzed' value is accurate). Is it possible to do an exact match on a nested field? In the query below the "metadata.value": "2014.NWJSD.47" still gets analyzed. Elasticsearch breaks up the string into several terms ("2014", "NWJSD", "47"). I tried to use "term" instead of "match" but this didn't return any result.
"mappings" : {
"metadata" : {
"type" : "nested",
"properties" : {
"name" : {
"type" : "text",
"index" : "not_analyzed"
},
"value" : {
"type" : "text",
"index" : "not_analyzed"
}
}
}
}
The Query:
"query": {
"bool": {
"must": [
{
"nested": {
"path": "metadata",
"query": {
"bool": {
"must": [
{
"match": {
"metadata.name": "number"
}
},
{
"match": {
"metadata.value": "2014.NWJSD.47"
}
}
]
}
}
}
}
]
}
}
Try to use keyword instead of text in your mapping like:
{
"mappings": {
"your_type_name": {
"properties": {
"metadata" : {
"type" : "nested",
"properties" : {
"name" : {
"type" : "keyword"
},
"value" : {
"type" :"keyword"
}
}
}
}
}
}
}
These fields won't be analyzed. Then you should reindex your data and to query your data you should replace match (which is analyzed query) with term.
{
"query": {
"bool": {
"must": [
{
"nested": {
"path": "metadata",
"query": {
"bool": {
"must": [
{
"term": {
"metadata.name": "number"
}
},
{
"term": {
"metadata.value": "2014.NWJSD.47"
}
}
]
}
}
}
}
]
}
}
}
I think you are looking for a query string query.
You can freely disable "analyze" option for that field in mapping option and reindex everything again but you could also check this query out:
as written here:
GET /_search
{
"query": {
"query_string" : {
"query" : "your string"
}
}
}
Related
I'm able to perform exact match query by following Elasticsearch boolean query:
GET my_index/_search
{
"query": {
"bool": {
"filter": [
{
"term": {
"some_field.keyword": "some value"
}
}
]
}
}
}
some_field is indexed as default string type:
"some_field" : {
"properties" : {
"value" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
}
For some reason, I can only use Elasticsearch query_string. This means, I need equivalent query in Lucene syntax.
You can do the same way in query_string query with keyword variation of the field.
{
"query": {
"query_string": {
"query": "some value",
"default_field": "some_field.value.keyword"
}
}
}
I have the following data index in Elasticsearch with the following syntax:
PUT /try1
{
"mappings" : {
"product" : {
"properties" : {
"name": { "type" : "text" },
"categories": {
"type": "nested",
"properties": {
"range":{"type":"text"}
}
}
}
}
}
}
The range type has an array of words:["high","medium","low"]
I need to access the range element inside the nested category. I tried using the following syntax:
GET /try1/product/_search
{
"query": {
"nested" : {
"path" : "categories",
"query" : {
"bool" : {
"must" : [
{ "match" : {"categories.range": "low"} }
]
}
}
}
}
}
However, I am getting an error with the message:
"reason": """failed to create query:...
Can someone please offer a solution to this?
#KGB can you try to make your query slightly differently like this:
{
"query": {
"bool": {
"must": [
{
"match": {
"categories.range": "low"
}
}
]
}
}
}
{
"query": {
"nested" : {
"path" : "categories",
"query" : {
"bool" : {
"must" : [
{ categories.range": "low"}
]
}
}
}
}
}
This worked perfectly
In some of our types, we have a parent child setup and we want to search on parent fields and also on the child fields (and return parent) and we do query like below. When there is a has_child match is there any way to get highlighting information from the child match even though the parent is being returned. As an example, if we have mapping like the following:
PUT nested2
{
"mappings":{
"discussion":{
"properties" : {
"title":{
"type":"string"
}
}
},
"discussionPost":{
"_parent":{
"type" : "discussion"
},
"properties" : {
"post" : {
"type" : "string"
}
}
}
}
}
And we issue a query like below, highlight information is returned if there is a match on parent field but not if the parent is being returned due to a has_child match:
POST nested2/discussion/_search
{
"query": {
"bool": {
"should": [
{
"prefix": {
"_all" : "cat"
}
},
{
"has_child" : {
"type" : "discussionPost",
"score_mode" : "sum",
"query" : {
"prefix": {
"_all" : "cat"
}
}
}
}
],
"minimum_should_match": 1
}
},
"highlight":{
"fields":{
"*":{}
}
}
}
Is it possible to get highlight information on what matched in the child when has_child query is being issued on the parent?
Regards
LT
It is possible to do this using inner_hits inside the has_child query clause:
{
"query": {
"bool": {
"should": [
{
"has_child" : {
"inner_hits": {
"_source": false,
"highlight":{
"order": "score",
"fields": {"*":{}}
}
},
"type" : "discussionPost",
"score_mode" : "sum",
"query" : {
"prefix": {
"_all" : "cat"
}
}
}
}
],
"minimum_should_match": 1
}
}
}
i am trying to filter my result using nested filter but i am getting incorrect result
here is my mapping info
{
"stock" : {
"mappings" : {
"clip" : {
"properties" : {
"description" : {
"type" : "string"
},
"keywords" : {
"type" : "nested",
"properties" : {
"category" : {
"type" : "string"
},
"tags" : {
"type" : "string",
"index_name" : "tag"
}
}
},
"tags" : {
"type" : "string",
"index_name" : "tag"
},
"title" : {
"type" : "string"
}
}
}
}
}
}
clip document data
{
"_index" : "stock",
"_type" : "clip",
"_id" : "AUnsTOBBpafrKleQN284",
"_score" : 1.0,
"_source":{
"title": "journey to forest",
"description": "this clip contain information about the animals",
"tags": ["birls", "wild", "animals", "roar", "forest"],
"keywords": [
{
"tags": ["spring","summer","autumn"],
"category": "Weather"
},
{
"tags": ["Cloudy","Stormy"],
"category": "Season"
},
{
"tags": ["Exterior","Interior"],
"category": "Setting"
}
]
}
i am trying to filter tags inside nested field 'keywords'
here is my query
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"nested": {
"path": "keywords",
"filter": {
"bool": {
"must": [
{
"terms": { "tags": ["autumn", "summer"] }
}
]
}
}
}
}
}
}
}
i am getting no result why ?
what's wrong with my query or schema please help
The above query is syntactically incorrect . You need to provide the full path to tags from root keywords in the term query i.e.keywords.tags
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"nested": {
"path": "keywords",
"filter": {
"bool": {
"must": [
{
"terms": { "keywords.tags": ["autumn", "summer"] }
}
]
}
}
}
}
}
}
}
I have trouble combining term, must_not queries on nested documents.
Sense example can be found here : http://sense.qbox.io/gist/be436a1ffa01e4630a964f48b2d5b3a1ef5fa176
Here my mapping :
{
"mappings": {
"docs" : {
"properties": {
"tags" : {
"type": "nested",
"properties" : {
"type": {
"type": "string",
"index": "not_analyzed"
}
}
},
"label" : {
"type": "string"
}
}
}
}
}
with two documents in this index :
{
"tags" : [
{"type" : "POST"},
{"type" : "DELETE"}
],
"label" : "item 1"
},
{
"tags" : [
{"type" : "POST"}
],
"label" : "item 2"
}
When I query this index like this :
{
"query": {
"nested": {
"path": "tags",
"query": {
"bool": {
"must": {
"term": {
"tags.type": "DELETE"
}
}
}
}
}
}
}
I've got one hit (which is correct)
When I want to get documents WHICH DON'T CONTAIN the tag "DELETE", with this query :
{
"query": {
"nested": {
"path": "tags",
"query": {
"bool": {
"must_not": {
"term": {
"tags.type": "delete"
}
}
}
}
}
}
}
I've got 2 hits (which is incorrect).
This issue seems very close to this one (Elasticsearch array must and must_not) but it's not...
Can you give me some clues to resolve this issue ?
Thank you
Your original query would search in each individual nested object and eliminate the objects that don't match, but if there are some nested objects left, they do match with your query and so you get your results. This is because nested objects are indexed as a hidden separate document
Original code:
{
"query": {
"nested": {
"path": "tags",
"query": {
"bool": {
"must_not": {
"term": {
"tags.type": "delete"
}
}
}
}
}
}
}
The solution is then quite simple really, you should bring the bool query outside the nested documents. Now all the documents are discarded who have a nested object with the "DELETE" type. Just what you wanted!
The solution:
{
"query": {
"bool": {
"must_not": {
"nested": {
"path": "tags",
"query": {
"term": {
"tags.type": "DELETE"
}
}
}
}
}
}
}
NOTE: Your strings are "not analyzed" and you searched for "delete" instead of "DELETE". If you want to search case insensitive, make your strings analyzed
This should fix your problem: http://sense.qbox.io/gist/f4694f542bc76c29624b5b5c9b3ecdee36f7e3ea
Two most important things:
include_in_root on "tags.type". This will tell ES to index tag types as "doc.tags.types" : ['DELETE', 'POSTS'], so you can access an array of those values "flattened" on the root doc . This means you no longer need a nested query (see #2)
Drop the nested query.
{
"mappings": {
"docs" : {
"properties": {
"tags" : {
"type": "nested",
"properties" : {
"type": {
"type": "string",
"index": "not_analyzed"
}
},
"include_in_root": true
},
"label" : {
"type": "string"
}
}
}
}
}
{
"query": {
"bool": {
"must_not": {
"term": {
"tags.type": "DELETE"
}
}
}
}
}