elasticsearch - ElasticSearch-使用相同的字段名称但使用不同的分析器搜索不同的doc_types

Question

假设我做了一个简单的ElasticSearch索引:

curl -XPUT 'http://localhost:9200/test/' -d '{
    "settings": {
        "analysis": {
            "char_filter": {
                "de_acronym": {
                    "type": "mapping",
                    "mappings": [".=>"]
                }
            },
            "analyzer": {
                "analyzer1": {
                    "type":      "custom",
                    "tokenizer": "keyword",
                    "char_filter": ["de_acronym"]
                }
            }
        }
    }
}'

并且我创建了两个具有相同属性name的doc_type，但是对它们的分析略有不同:

curl -XPUT 'http://localhost:9200/test/_mapping/docA' -d '{
    "docA": {
        "properties": {
            "name": {
                "type": "string",
                "analyzer": "simple"
            }
        }
    }
}'
curl -XPUT 'http://localhost:9200/test/_mapping/docB' -d '{
    "docB": {
        "properties": {
            "name": {
                "type": "string",
                "analyzer": "analyzer1"
            }
        }
    }
}'

接下来，假设我在每个doc_type中放置了一个具有相同名称的文档:

curl -XPUT 'http://localhost:9200/test/docA/1' -d '{ "name" : "U.S. Army" }'
curl -XPUT 'http://localhost:9200/test/docB/1' -d '{ "name" : "U.S. Army" }'

让我们尝试同时在两种文档类型中搜索“美国陆军”:

curl -XGET 'http://localhost:9200/test/_search?pretty' -d '{
    "query": {
        "match_phrase": {
            "name": {
                "query": "U.S. Army"
            }
        }
    }
}'
{
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.5,
    "hits" : [ {
      "_index" : "test",
      "_type" : "docA",
      "_id" : "1",
      "_score" : 1.5,
      "_source":{ "name" : "U.S. Army" }
    } ]
  }
}

我只有一个结果!当我指定docB的分析器时，我得到了另一个结果:

curl -XGET 'http://localhost:9200/test/_search?pretty' -d '
{
    "query": {
        "match_phrase": {
            "name": {
                "query": "U.S. Army",
                "analyzer": "analyzer1"
            }
        }
    }
}'
{
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.0,
    "hits" : [ {
      "_index" : "test",
      "_type" : "docB",
      "_id" : "1",
      "_score" : 1.0,
      "_source":{ "name" : "U.S. Army" }
    } ]
  }
}

我的印象是ES会使用适当的分析器搜索每个doc_type。有没有办法做到这一点？

ElasticSearch文档说precedence for search analyzer去了:

1)在查询本身中定义的分析器，否则

2)分析器在字段映射中定义，否则
...

在这种情况下，ElasticSearch是否会随意选择要使用的字段映射？

Answer 1

看一下github中的this问题，该问题似乎始于ES google组中的this帖子。我相信它可以回答您的问题:

if its in a filtered query, we can't infer it, so we simply pick one of those and use its analysis settings