需要提前在虚拟机创建elasticsearch和kibana，并且加入统一网络，在kibana中配置文档
GET _search
{
  "query": {
    "match_all": {}
  }
}
GET /campus/_search
{
  "query": {
    "match": {
      "all": "后营2"
    }
  }
}
GET /campus/_analyze
{
  "analyzer": "completion_analyzer",
  "text": "一瓶"
}
GET /campus/_search
{
  "query": {
    "match_all": {}
  }
}

GET /campus/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "all": "后营2"
          }
        }
      ],
      "must_not": [
        {
          "match": {
            "userId":  "17"
          }
        }
      ]

    }
  }
}
DELETE /campus
#社区
PUT /campus
{
  "settings": {
    "analysis": {
      "analyzer": {
        "text_anlyzer": {
          "tokenizer": "ik_max_word",
          "filter": "py"
        },
        "completion_analyzer": {
          "tokenizer": "ik_max_word",
          "filter": "py"
        }
      },
      "filter": {
        "py": {
          "type": "pinyin",
          "keep_full_pinyin": true,
          "keep_joined_full_pinyin": true,
          "keep_original": true,
          "limit_first_letter_length": 16,
          "remove_duplicated_term": true,
          "none_chinese_pinyin_tokenize": false,
          "keep_first_letter": true
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "id":{
        "type": "keyword"
      },
      "name":{
        "type": "text",
        "analyzer": "text_anlyzer",
        "search_analyzer": "ik_max_word",
        "copy_to": "all"
      },
      "address":{
        "type": "text",
        "analyzer": "ik_smart",
        "copy_to": "all"
      },
      "shopDesc":{
        "type": "text",
        "analyzer": "ik_smart",
        "copy_to": "all"
      },
      "price":{
        "type": "integer",
        "index": false
      },
      "pic":{
        "type": "keyword",
        "index": false
      },
      "userId":{
        "type": "keyword"
      },
      "sendId":{
        "type": "keyword",
        "index": false
      },
      "starTime":{
        "type": "keyword",
        "index": false
      },
      "endTime":{
        "type": "keyword",
        "copy_to": "all",
        "index": false
      },

      "all":{
        "type": "text",
        "analyzer": "text_anlyzer",
        "search_analyzer": "ik_smart"
      },
      "suggestion":{
          "type": "completion",
          "analyzer": "completion_analyzer"
      }
    }
  }
}