使用弹性搜索设计搜索服务

Question

我有一个要求。我正在为一个社交网络建立一个搜索服务。搜索服务应该返回某人搜索的用户的名称。现在，它将仅限于用户域搜索。我计划使用弹性搜索来保留索引(用户域详细信息)。然后，我将从我的搜索服务(搜索服务在nodejs上)调用EL。我想不出如何为EL创建索引的设计。我应该使用批处理来创建索引，还是在创建用户时创建索引。

一个好的指针或一个好的设计将受到赞赏。

Answer 1

您应该在创建新用户时创建索引

简单的例子可能会很有用

您的用户数据如：`

[
 {
    "_id": "1",
    "status": true,
    "username": "mak",
    "userdomain": "mydomain.com",
    "name": "mak doe"
 },
 {
    "_id": "2",
    "status": true,
    "username": "janny",
    "userdomain": "mydomain.com",
    "name": "janny"
 },
 {
    "_id": "3",
    "status": true,
    "username": "mac",
    "userdomain": "newdomain.com",
    "name": "mac peter"
 },
 {
    "_id": "4",
    "status": true,
    "username": "mak",
    "userdomain": "mydomain.com",
    "name": "mak peter"
 },
 {
       "id": "5",            
       "status": true,
       "username": "mak",
       "userdomain": "newdomain.com",
       "name": "mak peter"
 },
]

`

弹性模式如下：`

PUT socialdata
{
    "mappings": {
          "users": {
         "properties": {
            "status": {
               "type": "boolean"
            },
            "name": {
               "type": "text"
            },
            "username": {
               "type": "string",
               "fields": {
                  "raw": {
                     "type": "string",
                     "analyzer": "keyword_lowercase_analyzer"
                  },
                  "english": {
                     "type": "text",
                     "analyzer": "english"
                  }
               }
            },
            "userdomain": {
               "type": "string",
               "fields": {
                  "raw": {
                     "type": "string",
                     "analyzer": "keyword_lowercase_analyzer"
                  },
                  "english": {
                     "type": "text",
                     "analyzer": "english"
                  }
               }
            }
        }
       }
    }
}

`

批量上传：`

POST socialdata/users/_bulk
{ "index": { "_index": "socialdata","_type": "users", "_id": 1 }}
{"status":true,"username": "mak","userdomain": "mydomain.com","name": "mak doe"}
{ "index": { "_index": "socialdata","_type": "users", "_id": 2 }}
{"status":true,"username": "janny","userdomain": "mydomain.com","name": "janny"}
{ "index": { "_index": "socialdata","_type": "users", "_id": 3 }}
{"status":true,"username": "mac","userdomain": "newdomain.com","name": "mac peter"}
{ "index": { "_index": "socialdata","_type": "users", "_id": 4 }}
{"status":true,"username": "mak","userdomain": "mydomain.com","name": "mak peter"}
{ "index": { "_index": "socialdata","_type": "users", "_id": 5 }}
{"status":true,"username": "mak","userdomain": "newdomain.com","name": "mak peter"}

`

单索引：`

POST socialdata/users/_bulk
{ "index": { "_index": "socialdata","_type": "users", "_id": 1 }}
{"status":true,"username": "mak","userdomain": "mydomain.com","name": "mak doe"}

`

弹性查询:只返回两条记录`

POST socialdata/users/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "username": "mak"
          }
        },
        {
          "match": {
            "userdomain": "mydomain.com"
          }
        }
      ]
    }
  }
}

`

它将只返回一条记录`

POST socialdata/users/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "username": "mak"
          }
        },
        {
          "match": {
            "userdomain": "newdomain.com"
          }
        }
      ]
    }
  }
}

`