Reputation: 655
I would like to aggregate and count the number of docs appears based on my filtering rules.
I looked at the API from their website: https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-filters-aggregation.html
and came out with this:
{ "size": 0,
"aggregations": {
"messages": {
"filters":{
"filters": {
"knowledge service": { "match": {"syslog_msg": "my-domain.com"}}
}
}
}
}
}
"syslog_msg" can contain information such as "my-domain.com some other value".
The response i got:
{
"_scroll_id" : "some scroll id",
"took" : 89,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1000000,
"max_score" : 0.0,
"hits" : [ ]
},
"aggregations" : {
"messages" : {
"buckets" : {
"knowledge service" : {"doc_count" : 12000}
}
}
}
}
It seems working fine, but when I ran a query to look at the 12000 records, some of them do not have exact match to the string (in this case my-domain.com) that I searched for.
For example, some docs have the string "my" in syslog_msg instead of "my-domain.com".
How do I change the query so that it filters the exact match for the string that I am looking for?
The solution is to replace match with match_phrase which will search and return the exact phrase found
Upvotes: 0
Views: 232
Reputation: 343
You should add aggregations to your filter
As elasticsearch document says (https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-filter-aggregation.html);
{
"aggs" : {
"red_products" : {
"filter" : { "term": { "color": "red" } },
"aggs" : {
"avg_price" : { "avg" : { "field" : "price" } }
}
}
}
}
Upvotes: 0