您可以执行此操作的方法之一是更改上层字段中的"index": "not_analyzed"
,并为该字段设置pattern analyzer。由于您已经设置了"lang.raw"
字段,因此您仍然可以获取未触及的版本以进行刻面或其他任何操作。
所以,要测试它,我设置了这样一个指标:
PUT /test_index
{
"settings": {
"number_of_shards": 1,
"analysis": {
"analyzer": {
"whitespace_underscore": {
"type": "pattern",
"pattern": "[\\s_]+",
"lowercase": false
}
}
}
},
"mappings": {
"doc": {
"properties": {
"name": {
"type": "string"
},
"lang": {
"type": "string",
"index_analyzer": "whitespace_underscore",
"search_analyzer": "standard",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed",
"ignore_above": 256
}
}
}
}
}
}
}
,并增加了一些文档:
POST /test_index/doc/_bulk
{"index":{"_id":1}}
{"name":"doc1","lang":"en_US"}
{"index":{"_id":2}}
{"name":"doc2","lang":"en_GB"}
{"index":{"_id":3}}
{"name":"doc3","lang":"ru_RU"}
现在我可以像这样通过"US"
过滤:
POST /test_index/_search
{
"query": {
"filtered": {
"filter": {
"term": {
"lang": "US"
}
}
}
}
}
...
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "test_index",
"_type": "doc",
"_id": "1",
"_score": 1,
"_source": {
"name": "doc1",
"lang": "en_US"
}
}
]
}
}
而且,我仍然可以通过"lang.raw"
获得一个术语汇总值列表:
POST /test_index/_search?search_type=count
{
"aggs": {
"lang_terms": {
"terms": {
"field": "lang.raw"
}
}
}
}
...
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"lang_terms": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "en_GB",
"doc_count": 1
},
{
"key": "en_US",
"doc_count": 1
},
{
"key": "ru_RU",
"doc_count": 1
}
]
}
}
}
这里是我用来测试它的代码:
http://sense.qbox.io/gist/ac3f3fd66ea649c0c3a8010241d1f6981a7e012c