I have two documents in my index (same type) :
{
"first_name":"John",
"last_name":"Doe",
"age":"24",
"phone_numbers":[
{
"contract_number":"123456789",
"phone_number":"987654321",
"creation_date": ...
},
{
"contract_number":"123456789",
"phone_number":"012012012",
"creation_date": ...
}
]
}
{
"first_name":"Roger",
"last_name":"Waters",
"age":"36",
"phone_numbers":[
{
"contract_number":"546987224",
"phone_number":"987654321",
"creation_date": ...,
"expired":true
},
{
"contract_number":"87878787",
"phone_number":"55555555",
"creation_date": ...
}
]
}
Clients would like to perform a full text search. Okay no problem here
My problem :
In this full text search, sometimes user will search by phone_number. In this case there is a parameter like expired=true.
Example :
First client search request : "987654321" with expired absent or set to false
--> Result : Only first document
Second client search request : "987654321" with expired set to true
--> Result : The two documents
How can I achieve that ?
Here is my mapping :
{
"user": {
"_all": {
"auto_boost": true,
"omit_norms": true
},
"properties": {
"phone_numbers": {
"type": "nested",
"properties": {
"phone_number": {
"type": "string"
},
"creation_date": {
"type": "string",
"index": "no"
},
"contract_number": {
"type": "string"
},
"expired": {
"type": "boolean"
}
}
},
"first_name":{
"type": "string"
},
"last_name":{
"type": "string"
},
"age":{
"type": "string"
}
}
}
}
Thanks !
MC
EDIT :
I tried this query :
{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "987654321",
"analyze_wildcard": "true"
}
},
"filter": {
"nested": {
"path": "phone_numbers",
"filter": {
"bool": {
"should":[
{
"bool": {
"must": [
{
"term": {
"phone_number": "987654321"
}
},
{
"missing": {
"field": "expired"
}
}
]
}
},
{
"bool": {
"must_not": [
{
"term": {
"phone_number": "987654321"
}
}
]
}
}
]
}
}
}
}
}
}}
But I get the two documents instead of get only the first one
You're very close. Try using a combination of must and should, where the must clause ensures the phone_number matches the search value, and the should clause ensures that either the expired field is missing or set to false. For example:
{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "987654321",
"analyze_wildcard": "true"
}
},
"filter": {
"nested": {
"path": "phone_numbers",
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"phone_number": "987654321"
}
}
],
"should": [
{
"missing": {
"field": "expired"
}
},
{
"term": {
"expired": false
}
}
]
}
}
}
}
}
}
}
}
}
I ran this query using your mapping and sample documents and it returned the one document for John Doe, as expected.
Related
I am using Elasticsearch version 6.7. I have the following mapping:
{
"customers": {
"mappings": {
"customer": {
"properties": {
"name": {
"type": "keyword"
},
"permissions": {
"type": "nested",
"properties": {
"entityId": {
"type": "keyword"
},
"entityType": {
"type": "keyword"
},
"permission": {
"type": "keyword"
},
"permissionLevel": {
"type": "keyword"
},
"userId": {
"type": "keyword"
}
}
}
}
}
}
}
}
I want to run a query to that shows all customers who have > 0 permissions. I have tried the following:
{
"query": {
"bool": {
"filter": {
"script": {
"script": {
"lang": "painless",
"source": "params._source != null && params._source.permissions != null && params._source.permissions.size() > 0"
}
}
}
}
}
}
But this returns no hits because params._source is null as Painless does not have access to the _source document according to this Stackoverflow post. How can I write a Painless script that gives me all customers who have > 0 permissions?
Solution 1: Using Script with must query
POST <your_index_name>/_search
{
"query": {
"bool": {
"must": [
{
"script": {
"script": {
"lang": "painless",
"inline": """
ArrayList st = params._source.permissions;
if(st!=null && st.size()>0)
return true;
"""
}
}
}
]
}
}
}
Solution 2: Using Exists Query on nested fields
You could simply make use of Exists query something like the below to get customers who have > 0 permissions.
Query:
POST <your_index_name>/_search
{
"query": {
"bool": {
"must": [
{
"nested": {
"path": "permissions",
"query": {
"bool": {
"should": [
{
"exists":{
"field": "permissions.permission"
}
},
{
"exists":{
"field": "permissions.entityId"
}
},
{
"exists":{
"field": "permissions.entityType"
}
},
{
"exists":{
"field": "permissions.permissionLevel"
}
}
]
}
}
}
}]
}
}
}
Solution 3: Create definitive structure but add empty values to the fields
Another alternative would be to ensure all documents would have the fields.
Basically,
Ensure that all the documents would have the permissions nested document
However for those who would not have the permissions, just set the field permissions.permission to 0
Construct a query that could help you get such documents accordingly
Below would be a sample document for a user who doesn't have permissions:
POST mycustomers/customer/1
{
"name": "john doe",
"permissions": [
{
"entityId" : "null",
"entityType": "null",
"permissionLevel": 0,
"permission": 0
}
]
}
The query in that case would be as simple as this:
POST <your_index_name>/_search
{
"query": {
"bool": {
"must": [
{
"nested": {
"path": "permissions",
"query": {
"range": {
"permissions.permission": {
"gte": 1
}
}
}
}
}
]
}
}
}
Hope this helps!
Hi i want to search array element from index using elastic search query
{
"name": "Karan",
"address": [
{
"city": "newyork",
"zip": 12345
},
{
"city": "mumbai",
"zip": 23456
}]
}}
when i am trying to search using match query it does not work
{
"query": {
"bool": {
"must": [
{
"match": {
"address.city": "newyork"
}
}
]
}
}
}
when i access simple feild like "name": "Karan" it works, there is only issue for array element.
Because nested objects are indexed as separate hidden documents, we can’t query them directly. Instead, we have to use the nested query to access them:
GET /my_index/blogpost/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"title": "eggs"
}
},
{
"nested": {
"path": "comments",
"query": {
"bool": {
"must": [
{
"match": {
"comments.name": "john"
}
},
{
"match": {
"comments.age": 28
}
}
]
}
}
}
}
]
}}}
See the docs
The way i followed..
Mapping :
{
"mappings": {
"job": {
"properties": {
"name": {
"type": "text"
},
"skills": {
"type": "nested",
"properties": {
"value": {
"type": "text"
}
}
}
}
}
}
Records
[{"_index":"jobs","_type":"job","_id":"2","_score":1.0,"_source":{"name":"sr soft eng","skills":[{"value": "java"}, {"value": "oracle"}]}},{"_index":"jobs","_type":"job","_id":"1","_score":1.0,"_source":{"name":"sr soft eng","skills":[{"value": "java"}, {"value": "oracle"}, {"value": "javascript"}]}},
search Query
{
"query": {
"nested": {
"path": "skills",
"query": {
"bool": {
"must": [
{ "match": {"skills.value": "java"}}
]
}
}
}
}
}
I have two ES_TYPEs in my_index
user
user_property
One is defined as parent (user) and another as child (user_property)
user_property has following mapping:
PUT /my_index/_mapping/user_property
{
"user_property": {
"properties": {
"name": {
"type": "keyword",
},
"value": {
"type": "keyword"
}
}
}
}
I want to get all users having some properties (say property1, property2) along with their properties value, so to do this I create following query with inner_hits but query response time is exponentially large with inner_hits.
GET /my_index/user/_search
{
"query": {
"bool": {
"must": [
{
"has_child": {
"type": "user_property",
"query": {
"bool": {
"must": [
{
"term": {
"name": "property1"
}
}
]
}
},
"inner_hits": {
"name": "inner_hits_1"
}
}
},
{
"has_child": {
"type": "user_property",
"query": {
"bool": {
"must": [
{
"term": {
"name": "property2"
}
}
]
}
},
"inner_hits": {
"name": "inner_hits_2"
}
}
}
]
}
}
}
Is there any way to reduce this time ?
Im trying to search two or more values on array and get only those ones that match with all words (AND CLAUSE)
Some example:
{ "name" : "Chevrolet",
"value" : [ "gasolina", "alcool", "diesel"]
}
{ "name" : "Fiat",
"value" : [ "eletrica", "alcool"]
}
{ "name" : "Honda",
"value" : [ "diesel", "gasolina"]
}
My mapping
{
"mappings": {
"cars": {
"properties": {
"name": {
"type": "string"
},
"GasType": {
"type": "nested",
"properties": {
"value": {
"type": "string"
}
}
}
}
}
}
}
Query:
{
"query": {
"nested": {
"path": "GasType",
"query": {
"bool": {
"must": [
{ "match": {"GasType.value": "gasolina"}},
{ "match": {"GasType.value": "diesel"}}
]
}
}
}
}
}
My return is always empty and if i change de query i have got all those that contains "Gasolina" or "diesel"
I need those that has "Gasolina" AND "diesel"
Your test data doesn't match the mapping of the index. In your test data I don't see the nested field name GasType. In any case, the following works for me just fine:
DELETE test
PUT test
{
"mappings": {
"cars": {
"properties": {
"name": {
"type": "string"
},
"GasType": {
"type": "nested",
"properties": {
"value": {
"type": "string"
}
}
}
}
}
}
}
POST test/cars/_bulk
{"index":{}}
{"name":"Chevrolet","GasType":{"value":["gasolina","alcool","diesel"]}}
{"index":{}}
{"name":"Fiat","GasType":{"value":["eletrica","alcool"]}}
{"index":{}}
{"name":"Honda","GasType":{"value":["diesel","gasolina"]}}
{"index":{}}
{"name":"Honda","GasType":{"value":["diesel"]}}
GET test/_search
{
"query": {
"nested": {
"path": "GasType",
"query": {
"bool": {
"must": [
{
"match": {
"GasType.value": "gasolina"
}
},
{
"match": {
"GasType.value": "diesel"
}
}
]
}
}
}
}
}
I am running into a query problem with ElasticSearch.
We have objects that looks like this:
{
"id":"1234",
"tags":[
{ "tagName": "T1", "tagValue":"V1"},
{ "tagName": "T2", "tagValue":"V2"},
{ "tagName": "T3", "tagValue":"V3"}
]
}
{
"id":"5678",
"tags":[
{ "tagName": "T1", "tagValue":"X1"},
{ "tagName": "T2", "tagValue":"X2"}
]
}
And I would like to get a list of tagValues for tagName=T1, which is "V1" and "X1".
I tried
{
"filter": {
"bool": {
"must": [
{
"term":{
"tags.tagName": "T1"
}
}
]
}
},
"facets": {
"TagValues":{
"filter": {
"term": {
"tags.tagName": "T1"
}
},
"terms": {
"field": "tags.tagValue",
"size": 30
}
}
}
}
It seems like it's returning all tagValues from all tags "T1", "T2", and "T3".
Can someone please help me with this query? How can I get faceted list for objects that's in an array?
Any help would be appreciated.
Thank you,
The main idea is to use the nested type for your tags field. Here is the mapping you should use:
curl -XPUT localhost:9200/mytags -d '{
"mappings": {
"mytag": {
"properties": {
"id": {
"type": "string"
},
"tags": {
"type": "nested",
"properties": {
"tagName": {
"type": "string",
"index": "not_analyzed"
},
"tagValue": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}
}
}'
Then you can reindex your data and run a query like the one below, which will first filter only the document containing a tagName whose value is T1 and then using aggregations (don't use facets anymore as they are deprecated), you can again select only those tags whose tagName is T1 and then retrieve the associated tagValue fields. This will get you the expected V1 and X1 values.
curl -XPOST localhost:9200/mytags/mytag/_search -d '{
"size": 0,
"query": {
"filtered": {
"filter": {
"nested": {
"path": "tags",
"query": {
"term": {
"tags.tagName": "T1"
}
}
}
}
}
},
"aggs": {
"tags": {
"nested": {
"path": "tags"
},
"aggs": {
"values": {
"filter": {
"term": {
"tags.tagName": "T1"
}
},
"aggs": {
"values": {
"terms": {
"field": "tags.tagValue"
}
}
}
}
}
}
}
}'