Test a query ruleset
Added in 8.10.0
Evaluate match criteria against a query ruleset to identify the rules that would match that criteria.
Path parameters
-
ruleset_id
string Required The unique identifier of the query ruleset to be created or updated
Body
Required
-
match_criteria
object Required The match criteria to apply to rules in the given query ruleset. Match criteria should match the keys defined in the
criteria.metadatafield of the rule.
POST
/_query_rules/{ruleset_id}/_test
Console
PUT _query_rules/my-ruleset
{
"rules": [
{
"rule_id": "my-rule1",
"type": "pinned",
"criteria": [
{
"type": "contains",
"metadata": "user_query",
"values": [ "pugs", "puggles" ]
},
{
"type": "exact",
"metadata": "user_country",
"values": [ "us" ]
}
],
"actions": {
"ids": [
"id1",
"id2"
]
}
},
{
"rule_id": "my-rule2",
"type": "pinned",
"criteria": [
{
"type": "fuzzy",
"metadata": "user_query",
"values": [ "rescue dogs" ]
}
],
"actions": {
"docs": [
{
"_index": "index1",
"_id": "id3"
},
{
"_index": "index2",
"_id": "id4"
}
]
}
}
]
}curl \
--request POST 'http://api.example.com/_query_rules/{ruleset_id}/_test' \
--header "Authorization: $API_KEY" \
--header "Content-Type: application/json" \
--data '"{\n \"rules\": [\n {\n \"rule_id\": \"my-rule1\",\n \"type\": \"pinned\",\n \"criteria\": [\n {\n \"type\": \"contains\",\n \"metadata\": \"user_query\",\n \"values\": [ \"pugs\", \"puggles\" ]\n },\n {\n \"type\": \"exact\",\n \"metadata\": \"user_country\",\n \"values\": [ \"us\" ]\n }\n ],\n \"actions\": {\n \"ids\": [\n \"id1\",\n \"id2\"\n ]\n }\n },\n {\n \"rule_id\": \"my-rule2\",\n \"type\": \"pinned\",\n \"criteria\": [\n {\n \"type\": \"fuzzy\",\n \"metadata\": \"user_query\",\n \"values\": [ \"rescue dogs\" ]\n }\n ],\n \"actions\": {\n \"docs\": [\n {\n \"_index\": \"index1\",\n \"_id\": \"id3\"\n },\n {\n \"_index\": \"index2\",\n \"_id\": \"id4\"\n }\n ]\n }\n }\n ]\n}"'
Request example
Run `PUT _query_rules/my-ruleset` to create a new query ruleset. Two rules are associated with `my-ruleset`. `my-rule1` will pin documents with IDs `id1` and `id2` when `user_query` contains `pugs` or `puggles` and `user_country` exactly matches `us`. `my-rule2` will exclude documents from different specified indices with IDs `id3` and `id4` when the `query_string` fuzzily matches `rescue dogs`.
{
"rules": [
{
"rule_id": "my-rule1",
"type": "pinned",
"criteria": [
{
"type": "contains",
"metadata": "user_query",
"values": [ "pugs", "puggles" ]
},
{
"type": "exact",
"metadata": "user_country",
"values": [ "us" ]
}
],
"actions": {
"ids": [
"id1",
"id2"
]
}
},
{
"rule_id": "my-rule2",
"type": "pinned",
"criteria": [
{
"type": "fuzzy",
"metadata": "user_query",
"values": [ "rescue dogs" ]
}
],
"actions": {
"docs": [
{
"_index": "index1",
"_id": "id3"
},
{
"_index": "index2",
"_id": "id4"
}
]
}
}
]
}
Response examples (200)
A successful response from `POST _query_rules/my-ruleset/_test`.
{
"total_matched_rules": 1,
"matched_rules": [
{
"ruleset_id": "my-ruleset",
"rule_id": "my-rule1"
}
]
}