我使用elasticsearch来索引我的文档。

是否有可能指示它只返回特定的字段,而不是它所存储的整个json文档?


当前回答

是的,通过使用源过滤器你可以做到这一点,这里是文档源过滤器

示例请求

POST index_name/_search
 {
   "_source":["field1","filed2".....] 
 }

输出将是

{
  "took": 57,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 1,
    "max_score": 1,
    "hits": [
      {
        "_index": "index_name",
        "_type": "index1",
        "_id": "1",
        "_score": 1,
        "_source": {
          "field1": "a",
          "field2": "b"
        },
        {
          "field1": "c",
          "field2": "d"
        },....
      }
    ]
  }
}

其他回答

例如,你有一个有三个字段的doc:

PUT movie/_doc/1
{
  "name":"The Lion King",
  "language":"English",
  "score":"9.3"
}

如果你想返回名字和分数,你可以使用下面的命令:

GET movie/_doc/1?_source_includes=name,score

如果你想获得一些匹配模式的字段:

GET movie/_doc/1?_source_includes=*re

可能会排除一些字段:

GET movie/_doc/1?_source_excludes=score

是的,通过使用源过滤器你可以做到这一点,这里是文档源过滤器

示例请求

POST index_name/_search
 {
   "_source":["field1","filed2".....] 
 }

输出将是

{
  "took": 57,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 1,
    "max_score": 1,
    "hits": [
      {
        "_index": "index_name",
        "_type": "index1",
        "_id": "1",
        "_score": 1,
        "_source": {
          "field1": "a",
          "field2": "b"
        },
        {
          "field1": "c",
          "field2": "d"
        },....
      }
    ]
  }
}

REST API GET请求可以使用'_source'参数进行。

示例请求

http://localhost:9200/opt_pr/_search?q=SYMBOL:ITC AND OPTION_TYPE=CE AND TRADE_DATE=2017-02-10 AND EXPIRY_DATE=2017-02-23&_source=STRIKE_PRICE

响应

{
"took": 59,
"timed_out": false,
"_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
},
"hits": {
    "total": 104,
    "max_score": 7.3908954,
    "hits": [
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLc",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 160
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLh",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 185
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLi",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 190
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLm",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 210
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLp",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 225
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLr",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 235
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLw",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 260
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uL5",
            "_score": 7.3908954,
            "_source": {
                "STRIKE_PRICE": 305
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLd",
            "_score": 7.381078,
            "_source": {
                "STRIKE_PRICE": 165
            }
        },
        {
            "_index": "opt_pr",
            "_type": "opt_pr_r",
            "_id": "AV3K4QTgNHl15Mv30uLy",
            "_score": 7.381078,
            "_source": {
                "STRIKE_PRICE": 270
            }
        }
    ]
}

}

在java中,你可以这样使用setFetchSource:

client.prepareSearch(index).setTypes(type)
            .setFetchSource(new String[] { "field1", "field2" }, null)

是的,使用一个更好的选择源过滤器。如果你使用JSON进行搜索,它会是这样的:

{
    "_source": ["user", "message", ...],
    "query": ...,
    "size": ...
}

在ES 2.4和更早的版本中,你也可以在搜索API中使用fields选项:

{
    "fields": ["user", "message", ...],
    "query": ...,
    "size": ...
}

这在ES 5+中已弃用。而且源过滤器更强大!