弹性搜索完全匹配 [英] Elastic search exact match
问题描述
我正在使用弹性搜索,并且有一个时间完全匹配发生的恶魔。我已经尝试过match,query_string等的各种组合,我没有得到任何结果或不好的结果。
查询如下所示:
I'm using elasticsearch and am having a devil of a time getting an exact match to happen. I've tried various combinations of match, query_string, etc, and I either get nothing or bad results. Query looks like this:
{
"filter": {
"term": {
"term": "dog",
"type": "main"
}
},
"query": {
"match_phrase": {
"term": "Dog"
}
},
"sort": [
"_score"
]
}
排序结果
10.102211 {u'term': u'The Dog', u'type': u'main', u'conceptid': 7730506}
10.102211 {u'term': u'That Dog', u'type': u'main', u'conceptid': 4345664}
10.102211 {u'term': u'Dog', u'type': u'main', u'conceptid': 144}
7.147442 {u'term': u'Dog Eat Dog (song)', u'type': u'main', u'conceptid': u'5288184'}
我看到当然,狗,那只狗和狗都有相同的分数,但是我需要弄清楚我能如何提高比分狗的得分。
I see, of course that "The Dog", "That Dog" and "Dog" all have the same score, but I need to figure out how I can boost the exact match "Dog" in score.
我也试过
{
"sort": [
"_score"
],
"query": {
"bool": {
"must": [
{
"match": {
"term": "Dog"
}
},
{
"match_phrase": {
"term": {
"query": "Dog",
"boost": 5
}
}
}
]
}
},
"filter": {
"term": {
"term": "dog",
"type": "main"
}
}
}
但仍然只是给我
11.887239 {u'term': u'The Dog', u'type': u'main', u'conceptid': 7730506}
11.887239 {u'term': u'That Dog', u'type': u'main', u'conceptid': 4345664}
11.887239 {u'term': u'Dog', u'type': u'main', u'conceptid': 144}
8.410372 {u'term': u'Dog Eat Dog (song)', u'type': u'main', u'conceptid': u'5288184'}
推荐答案
默认情况下,使用标准分析器分析字段。如果你想检查完全匹配,你可以存储你的字段不分析,例如:
Fields are analyzed with the standard analyzer by default. If you would like to check exact match, you could store your field not analyzed also e.g:
"dog":{
"type":"multi_field",
"fields":{
"dog":{
"include_in_all":false,
"type":"string",
"index":"not_analyzed",
"store":"no"
},
"_tokenized":{
"include_in_all":false,
"type":"string",
"index":"analyzed",
"store":"no"
}
}
}
然后,您可以查询狗字段的完全匹配,dog._tokenized用于分析的查询(如全文)
Then you can query the dog-field for exact matches, and dog._tokenized for analyzed queries (like fulltext)
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