内部数组的Elasticsearch全文查询问题(Elasticsearch full-text query issue from inner array)

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This is my object. and I want find text inside of task i.e task.name.

{
  "_id" : ObjectId("55e2acd77e5e4ddc037b3ef5"),
  "userId" : "123",
  "username" : "user12",
  "address" : "abc",
  "number" : 928228828282.0,
  "task" : [{
      "name" : "metac",
      "productCode" : "1234",
      "_id" : ObjectId("55e2acd77e5e4ddc037b3ef7")
    }, {
      "name" : "alfa33",
      "productCode" : "1234",
      "_id" : ObjectId("55e2acd77e5e4ddc037b3ef6")
    }],
  "__v" : 0
}

so when I query for that it will return all task.

curl -XPOST 'localhost:9200/userprofiles/_search?pretty' -d '
{
  "query": { "match": { "name": "alfa33" } }
}

Output:

{
    "took": 51,
    "timed_out": false,
    "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
    },
    "hits": {
        "total": 1,
        "max_score": 0.19178301,
        "hits": [
            {
                "_index": "userprofiles",
                "_type": "userprofile",
                "_id": "55e2acd77e5e4ddc037b3ef5",
                "_score": 0.19178301,
                "_source": {
                    "userId": "123",
                    "username": "user12",
                    "address": "abc",
                    "number": 928228828282,
                    "task": [
                        {
                            "name": "metac"
                        },
                        {
                            "name": "alfa33"
                        }
                    ]
                }
            }
        ]
    }
}

As you can see task return full array I want only 1 task which is selected.

I am using mongoosastic inside node it will give me problem so i tried to use request directly to Elasticsearch.

mongoosastic config - >elasticsearch search text return full array issue i tried this solution but not working.

Currently I am search my result using curl command in git bush not using search function

EDIT

FILE:- mongoose and mongoosastic.

var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var medicineSchema = require('./search')
var mongoosastic = require("mongoosastic");

var UserProfileSchema = new Schema({
    userId: String,
    username: String,
    address: String,
    number: Number,
    task: [{
        name: {
            type: String,
            es_boost: 2.0 // or es_indexed:true
        },
        taskCode: String,
    }]
});
UserProfileSchema.plugin(mongoosastic);
UserProfileSchema.plugin(mongoosastic, {
    host: "localhost",
    port: 9200,
    //  ,curlDebug: true
});
UserProfile = module.exports = mongoose.model('UserProfile', UserProfileSchema);
UserProfile.createMapping(function(err, mapping) {
    if (err) {
        console.log('error creating mapping (you can safely ignore this)');
        console.log(err);
    } else {
        console.log('mapping created!');
        console.log(mapping);
    }
});

And my search Query:

var UserProfileSchema = require('../../app/models/user');
 UserProfileSchema.search({
        query_string: {
            query: name
        }
    }, function(err, result) {
        if (err) {
            callback({
                RESULT_CODE: '-1',
                MESSAGE: 'System error'
            });
        } else {
            callback({
                RESULT_CODE: '1',
                DATA: result
            });
        }
    });
解决方案

In order to treat these as separate objects, you will need to use a nested type for the "task" field, so setting up your mappings as follows:

{
    "mappings": {
        "doc": {
            "... all the other fields ...": {},
            "task": {
                "properties": {
                    "_id": {
                        "type": "string"
                    },
                    "name": {
                        "type": "string"
                    },
                    "productCode": {
                        "type": "string"
                    }
                },
                "type": "nested"
            }
        }
    }
}

After reindexing your document. You'll need to use a nested query with an inner-hits query to return which task matched the query:

{
  "query": {
    "nested": {
      "path": "task",
      "query": {
        "match": {
          "name": "alfa33"
        }
      },
      "inner_hits": {}
    }
  }
}

The inner_hits portion will return the specific task that matched the query by itself.

I've posted an example with the full output here since it's a little long to post in entirety here.

这是我的对象。我想要在任务中找到文本,例如 task.name。

  {
" _id":ObjectId("55e2acd77e5e4ddc037b3ef5"),
"userId":"123",
"username":"user12",
"address":"abc",
"number":928228828282.0,
"task":[{
"name":"metac",
"productCode":"1234",
"_id":ObjectId "55e2acd77e5e4ddc037b3ef7")
},{
"name":"alfa33",
"productCode":"1234",
"_id":ObjectId("55e2acd77e5e4ddc037b3ef6")
$] b
$ _
$当我查询它会返回所有任务。



  curl -XPOST'localhost:9200 / userprofiles / _search?pretty' - d'
{
"query":{"match":{"name":"alfa33"}}
}
$ b

输出:

  {
"took":51 ,
"timed_out":false,
"_shards":{
"total":5,
"成功":5,
"失败":0
},
"hits":{
"total":1,
"max_score":0.19178301,
"hits":[
{
"_index":"userprofiles",
"_type":"userprofile",
"_id":"55e2acd77e5e4ddc037b3ef5",
"_score":0.19178301,
"_source":{
"userId":"123",
"username":"user12",
"address" :"abc",
"number":928228828282,
"任务":[
{
"name":"metac"
},
{
"name":"alfa33"
}
]
}
}
]
}
}


正如您所看到的任务r eturn full array我只想要选择1个任务。

我在节点内使用mongoosastic它会给我带来问题,因此我试图直接将请求用于Elasticsearch。

p>

mongoosastic config - > elasticsearch搜索文本返回完整数组问题我试过了这个解决方案,但不工作。



目前我搜索我的结果使用curl命令在git布什不使用搜索功能

<

var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var medicineSchema = require('./ search')
var mongoosastic = require("mongoosastic");
$ b $ var UserProfileSchema =新架构({
userId:String,
username:String,
地址:字符串,$ b $ number:Number,
任务:[{
name:{
type:String,
es_boost:2.0 //或es_indexed:true
},
taskCode:String,
}]
});
UserProfileSchema.plugin(mongoosastic);
UserProfileSchema.plugin(mongoosastic,{
host:"localhost",
port:9200,
//,curlDebug:true
});
UserProfile = module.exports = mongoose.model('UserProfile',UserProfileSchema);
UserProfile.createMapping('err,mapping){
if(err){
console.log('创建映射的错误(您可以放心地忽略)');
console.log(err);
} else {
console.log('mapping created!');
console.log(mapping);
}
} );


和我的搜索查询:



  var UserProfileSchema = require('../../ app / models / user'); 
UserProfileSchema.search({
query_string:{
query:name
}
},function(err,result){
if(err){
callback({
RESULT_CODE:'-1',
MESSAGE:'System error'
});
} else {
callback({
RESULT_CODE:'1',
DATA:result
});
}
});

解决方案

为了将这些视为单独的对象,需要为"任务"字段使用嵌套类型
,因此请按照以下方式设置映射:

  { 
"mappings":{
"doc":{
"...所有其他字段...":{},
"任务":{
"属性":{
"_id":{
"type":"string"
},
"name":{
"type":"字符串"
",
"productCode":{
"type":"string"
}
},
"type":"nested"
}
}
}
}


后重新索引您的文档。您需要使用带有
内部匹配查询的嵌套查询来返回匹配查询的任务:

  {
"query":{
"嵌套":{
"path":"task",
"query":{
"match":{
"name":"alfa33"
}
},
"inner_hits":{}
}
}
}


inner_hits 部分将返回匹配的特定任务由
本身查询。



我用
此处输出全部内容,因为这是一个
的小短文,可以在这里完整发布。


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