Reputation: 1317
Say I have this bool query:
"bool" : {
"should" : [
{ "term" : { "FirstName" : "Sandra" } },
{ "term" : { "LastName" : "Jones" } }
],
"minimum_should_match" : 1
}
meaning I want to match all the people with first name Sandra OR last name Jones.
Now, is there any way that I can get perform an aggregation on all the documents that matched the first term only?
For example, I want to get all of the unique values of "Prizes" that anybody named Sandra has. Normally I'd just do:
"query": {
"match": {
"FirstName": "Sandra"
}
},
"aggs": {
"Prizes": {
"terms": {
"field": "Prizes"
}
}
}
Is there any way to combine the two so I only have to perform a single query which returns all of the people with first name Sandra or last name Jones, AND an aggregation only on the people with first name Sandra?
Thanks alot!
Upvotes: 7
Views: 12236
Reputation: 4803
Use post_filter. Please refer the following query. Post_filter will make sure that your bool should clause don't effect your aggregation scope.
Aggregations are filtered based on main query as well, but they are unaffected by post_filter. Please refer to the link
{
"from": 0,
"size": 20,
"aggs": {
"filtered_lastname": {
"filter": {
"query": {
"match": {
"FirstName": "sandra"
}
}
},
"aggs": {
"prizes": {
"terms": {
"field": "Prizes",
"size": 10
}
}
}
}
},
"post_filter": {
"bool": {
"should": [{
"term": {
"FirstName": "Sandra"
}
}, {
"term": {
"LastName": "Jones"
}
}],
"minimum_should_match": 1
}
}
}
Running a filter inside the aggs before aggregating on prizes can help you achieve your desired usecase.
Thanks Hope this helps
Upvotes: 9