I have a field "Alert" that contains a long string containing spaces, numbers, and special characters. I have this field set to "not_analyzed". Using the Wildcard query I can issue a query as follows and get the results I want.
POST /test-index-snort2/type-snort/_search
{
"query": {
"wildcard": {
"Alert": {
"value": "ET CNC*"
}
}
}
}
I'd like to use Kibana to implement a similar search. Doing so however returns no results. My query in Kibana appears as follows:
Alert:"ET CNC*"
Which in turn creates a query_string query like so:
"query": {
"filtered": {
"query": {
"bool": {
"should": [
{
"query_string": {
"query": "Alert:\"ET CNC*\""
}
}
]
}
},
"filter": {
"bool": {
"must": [
{
"match_all": {}
}
]
}
}
}
Is there a way to get the same results in Kibana via the query_string query that I do with using the wildcard query?
Here is the mapping for the Alert field and a sample of the entries:
"Alert": {
"type": "string",
"index": "not_analyzed"
},
"Alert": "ET CNC Palevo Tracker Reported CnC Server TCP group 9 ",
"Alert": "ET CNC Palevo Tracker Reported CnC Server TCP group 10 ",
"Alert": "ET CNC Zeus Tracker Reported CnC Server TCP group 3 ",
Thanks to polyfractal over in #elasticsearch, I have an answer. By default query_string will lowercase wildcard input. This can be disabled through the lowercase_expanded_terms=false setting. However, there's no way to set this in Kibana.
polyfractal recommended that I create an analyzer to lowercase this content. This will allow me utilize the query_string with wildcards with the limitation that the field value will appear in lowercase in facet results, but the _source will retain the original formatting. For me, this works well and is the solution I'm moving forward with.
Except from IRC:
<polyfractal> id set up the analyzer like this: tokenizer:keyword, filters: [lowercase]
<polyfractal> that'll basically give you a lowercased `not_analyzed` field. may also want to disable norms, since you prolly dont need them either
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