如果搜索词要通过找出拼音，同义词，分词都匹配的结果，是不是在建索引时就得按这三种情况建索引

"name":{

    "type":"text",

    "analyzer": "ik_smart",

    "fields": {

      "py":{

        "type":"text",

        "analyzer": "pinyin"

        },

        "synonym":{

          "type": "text",

          "analyzer": "by_smart"

        }

    }

}

最后定义成这样

"name":{

  "type":"text",

  "analyzer": "ik_smart",

  "search_analyzer": "ik_smart",

  "fields": {

  "py":{

  "type":"text",

      "analyzer": "pinyin",

      "search_analyzer": "ik_smart"

  },

"synonym":{

         "type": "text",

         "analyzer": "by_smart",

         "search_analyzer": "by_smart"

  }

  }

},

是的
推荐建立附加字段，例如字段为 title，
那你可以将 title 的分词器设置为正常的分词器（例如 ik），
title.pinyin 的分词器设置为拼音分词，
同义词的可以通过同义词过滤器进行设置

我现在的做法是 "fields": {
"py":{
"type":"text",
"analyzer": "pinyin"
},
"synonym":{
"type": "text",
"analyzer": "by_smart"
}
},建了一个域，但是目前有个问题，是分词后，同义词找不到了，是不是还的维护一下停用词库，把一些不该分词的给停用掉

有个问题，我GET aplum_2/_analyze
{
"analyzer": "by_smart", 
"text":"酷奇"
}，能出来结果：{
"tokens": [
{
"token": "GUCCI",
"start_offset": 0,
"end_offset": 2,
"type": "SYNONYM",
"position": 0
},
{
"token": "古奇",
"start_offset": 0,
"end_offset": 2,
"type": "SYNONYM",
"position": 0
},
{
"token": "cucci",
"start_offset": 0,
"end_offset": 2,
"type": "SYNONYM",
"position": 0
},
{
"token": "guicc",
"start_offset": 0,
"end_offset": 2,
"type": "SYNONYM",
"position": 0
},
{
"token": "酷奇",
"start_offset": 0,
"end_offset": 2,
"type": "SYNONYM",
"position": 0
},
{
"token": "哭泣",
"start_offset": 0,
"end_offset": 2,
"type": "SYNONYM",
"position": 0
},
{
"token": "古琦",
"start_offset": 0,
"end_offset": 2,
"type": "SYNONYM",
"position": 0
}
]
}，但是我用"query": {
"bool": {
"must": [
{
"multi_match": {
"query": "酷奇",
"fields": [
"name",
"name.synonym",
"name.py",
"brand_name",
"brand_name.synonym",
"brand_name_cn"
]
}
}
]
}
}，查不到任何信息，换成GUCCI就能查到，这个我一直很困惑