你需要一個pattern_capture
filter,應該只能捕獲@
後面的內容。此外,不要與文本的原始分析一塌糊塗,我建議增加一個子場到原來的email
場,並與工作只針對這一特定聚集:
PUT /test
{
"settings": {
"analysis": {
"filter": {
"email_domains": {
"type": "pattern_capture",
"preserve_original" : 0,
"patterns": [
"@(.+)"
]
}
},
"analyzer": {
"email": {
"tokenizer": "uax_url_email",
"filter": [
"email_domains",
"lowercase",
"unique"
]
}
}
}
},
"mappings": {
"emails": {
"properties": {
"email": {
"type": "string",
"fields": {
"domain": {
"type": "string",
"analyzer": "email"
}
}
}
}
}
}
}
嘗試一些測試數據:
POST /test/emails/_bulk
{"index":{"_id":"1"}}
{"email": "[email protected]"}
{"index":{"_id":"2"}}
{"email": "[email protected], [email protected]"}
{"index":{"_id":"3"}}
{"email": "[email protected]"}
{"index":{"_id":"4"}}
{"email": "[email protected]"}
{"index":{"_id":"5"}}
{"email": "[email protected]"}
併爲您的具體使用情況下,類似下面的簡單聚合應該這樣做:
GET /test/emails/_search
{
"size": 0,
"aggs": {
"by_domain": {
"terms": {
"field": "email.domain",
"size": 10
}
}
}
}
,結果是這樣的:
"aggregations": {
"by_domain": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "outlook.com",
"doc_count": 3
},
{
"key": "gmail.com",
"doc_count": 2
},
{
"key": "yahoo.com",
"doc_count": 1
}
]
}
}