Thanks for the answer in advance.
I am running a query
SELECT key
FROM records_index
WHERE
(product_nested_field.code = '1234' and product_nested_field.codeset = 'category1' OR product_nested_field.code = '444' and product_nested_field.codeset = 'category1')
AND (role_name IN ('user', 'admin'))
GROUP BY records_uuid
In records_index I have record with two products
[
{codeset: category1, code:444},
{codeset: category2, code:1234}
]
The problem is that query does find a specified record.
such behavior is expected for "type": "object" but why I am getting that result for product_nested_field of type nested?
when I translate SQL to JSON I am getting
{
"bool": {
"must": [
{
"bool": {
"must": [
{
"nested": {
"query": {
"term": {
"product_nested_field.codeset": {
"value": "category1"
}
}
}
}
}
]
}
},
{
"bool": {
"must": [
{
"bool": {
"should": [
{
"nested": {
"query": {
"term": {
"product_nested_field.code": {
"value": "1234"
}
}
}
}
},
{
"nested": {
"query": {
"term": {
"product_nested_field.code": {
"value": "444"
}
}
}
}
}
]
}
}
]
}
}
],
"adjust_pure_negative": true,
"boost": 1.0
}
}
why elastic moves product_nested_field.codeset = 'category1' into separate nested query.
Related
I have the following ES query :
{
"query": {
"bool": {
"should": [
{
"constant_score": {
"boost": 5,
"filter": {
"bool": {
"must": [
{
"ids": {
"values": [
"winnerAthlete-A"
]
}
},
{
"dis_max": {
"queries": [
{
"bool": {
"filter": {
"term": {
"isAthlete": true
}
}
}
},
{
"bool": {
"filter": {
"term": {
"isWinner": true
}
}
}
}
]
}
}
]
}
}
}
},
{
"constant_score": {
"boost": 4,
"filter": {
"bool": {
"must": [
{
"ids": {
"values": [
"winnerAthlete-B"
]
}
},
{
"dis_max": {
"queries": [
{
"bool": {
"filter": {
"term": {
"isAthlete": true
}
}
}
},
{
"bool": {
"filter": {
"term": {
"isWinner": true
}
}
}
}
]
}
}
]
}
}
}
}
]
}
}
}
It does return the result I expect : the 2 documents winnerAthlete-A and winnerAthlete-B, assigning a score of 5.0 to winnerAthlete-A and a score of 4.0 to winnerAthlete-B.
Now, when I turn the should on the third line of the query into a must, the query does not match any document whereas I would expect the exact same result. I can't wrap my head around why. I have tried using the ES _explain keyword to understand why this query doesn't match when using must but it didn't help me.
Any idea why this query rewritten with a must does not return anything whereas the should version does return the expected result ?
Should works like "OR" . It will return a document which matches any of clauses.
Must works like "AND" . Document must satisfy both clauses.
Your query is not returning any result because there is no single document which has ids as winnerAthlete-A as well as winnerAthlete-B
I'm trying to search in multiple indexes, but the fields and mapping for each index are different. Like one index is having nested path.
When I'm trying to query on index's I'm getting error for the index which are not having the nested path.
{
"query": {
"bool": {
"should": [
{
"term": {
"a": "good"
}
},
{
"term": {
"a.b": "sample"
}
},
{
"nested": {
"path": "x.y.z",
"query": {
"bool": {
"should": [
{
"term": {
"x.y.z.id.keyword": "test#gamil.com"
}
}
]
}
}
}
}
]
}
}
}
in above the nested path x.y.z is only present for one index.
I tried finding a solution, found ignore_unavailable. But it will ignore the index not having nested path, but I need the document's in that index which matches other condition in the query.
Try the following query by replacing your-index with the name of the index that contains the nested field.
{
"query": {
"bool": {
"should": [
{
"term": {
"a": "good"
}
},
{
"term": {
"a.b": "sample"
}
},
{
"bool": {
"must": [
{
"term": {
"_index": "your-index"
}
},
{
"nested": {
"path": "x.y.z",
"query": {
"bool": {
"should": [
{
"term": {
"x.y.z.id.keyword": "test#gamil.com"
}
}
]
}
}
}
}
]
}
}
]
}
}
}
I have an sql query like
select student_name,roll_number
from
mytable
where
(course = 'CCNA' or course = 'MCSE') and course NOT Like '%network%'
How can i create an equivalent nested boolean query in elasticsearch?
Below query might help you, This query responds with records which course does not contain a "network" keyword and course has a value "ccna" or "mcse".
I have not considered a case sensitiveness feature here and assumed that you have a default mapping.
POST study-doc*/_search
{
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
"term": {
"course": {
"value": "ccna"
}
}
},{
"term": {
"course": {
"value": "msce"
}
}
}
]
}},
{
"bool": {
"must": [
{
"wildcard": {
"course.keyword": {
"value": "^((?!network).)*$"
}
}
}
]
}
}
]
}
}
}
How should I translate this SQL query into an elasticsearch query?
SELECT * FROM myTable WHERE (id = 99 AND isonline <> 1) OR (id = 98 AND isonline <> 0)
How do I make a query that has multiple bool filters? (bonus would be to also show how to do it in NEST)
The elastic query I've come up with doesn't work because it contains duplicate object keys.
{
"size": 1000,
"query": {
"match_all": {}
},
"filter": {
"bool": {
"must": [
{
"term": {
"id": 99
}
}
],
"must_not": [
{
"term": {
"isonline": true
}
}
]
},
"bool": {
"must": [
{
"term": {
"id": 98
}
}
],
"must_not": [
{
"term": {
"isonline": false
}
}
]
}
}
}
elasticsearch version 1.7
{
"query": {
"bool": {
"should": [
{
"bool": {
"must": [
{
"term": {
"id": 99
}
},
{
"term": {
"isonline": false
}
}
]
}
},
{
"bool": {
"must": [
{
"term": {
"id": 98
}
},
{
"term": {
"isonline": true
}
}
]
}
}
]
}
}
}
I want to create the equivalent of the following query -
(city = 'New York' AND state = 'NY') AND ((businessName='Java' and businessName='Shop') OR (category='Java' and category = 'Shop'))
I tried different combinations of bool queries using must and should but nothing seems to be working. Can this be done?
How about something like this:
{
"query": {
"match_all": {}
},
"filter": {
"bool": {
"must": [
{
"term": {
"city": "New york"
}
},
{
"term": {
"state": "NY"
}
},
{
"bool": {
"should": [
{
"bool": {
"must": [
{
"term": {
"businessName": "Java"
}
},
{
"term": {
"businessName": "Shop"
}
}
]
}
},
{
"bool": {
"must": [
{
"term": {
"category": "Java"
}
},
{
"term": {
"category": "Shop"
}
}
]
}
}
]
}
}
]
}
}
}