Question

我试图在任何地方寻找答案，但我没有成功找到它。我有一个简单的用户索引，我使用以下查询来获取一些结果：

1. curl -XGET 'localhost:9200/users/_search?pretty' -d'
{
"explain": true, 
"query": {
 "match": {
  "skills": {
   "query": "im looking for some business counseling",
   "operator": "or",
   "fuzziness": "auto",
   "analyzer": "search_analyzer"
   }
  }
 },
"sort": [
 {"_score": "desc"}
 ],
}'

此查询成功地为我提供了所需的结果...现在我丢失的部分是如何使用以下查询（＃2）来查询刚刚从上面的查询中获取的文档（＃1）。（顺便说一下，我尝试过使用elastic.co文档中的所有类型的复合查询，但问题是他们只根据不同的标准查询一组文档？或者我错了？）：

 2. "query": {
 "match": {
  "search": {
   "query": "now I want to query the documents just fetched with this text",
   "operator": "or",
   "fuzziness": "auto",
   "analyzer": "search_analyzer"
  }
 }
}

Answer 1

因此，在重新阅读文档后，我最终找到了复合bool查询的答案......看起来像这样：

curl -XGET 'localhost:9200/users/_search?pretty' -d'
{
 "explain": true,
  "query": {
   "bool": {
    "should": [
    { "match": { "skills":  "Im looking for somebody with business skills"}},
    { "bool":  {
      "should": [
        { "match": { "search": "someone is looking for my skills which are cooking,caking, and entertaining" }}
        ]
      }}
    ]
  }
},
"sort": [
 {"_score": "desc"}
 ]
}'

索引的映射如下：

{
"settings": {
    "analysis": {
        "analyzer": {
            "search_analyzer": {
            "type": "custom",
                "tokenizer": "punctuation",
                "filter":  ["lowercase","apostrophe","asciifolding","stop_analyzer","kstem"]
            }
        },
        "tokenizer": {
            "punctuation": {
                "type": "pattern",
                "pattern": "[ .,!?+&@=-]"
            }
        },
        "filter": {
            "stop_analyzer": {
                "type": "stop"
            }
        }
    }
},
 "mappings": {
        "users": {
            "properties": {
                "skills": {
                    "type": "string",
                    "norms": { "enabled": false },
                    "analyzer": "search_analyzer"
                },
                "search": {
                    "type": "string",
                    "norms": { "enabled": false },
                    "analyzer": "search_analyzer"
                }
            }
        }
    }
 }

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1 个答案: