1. postman 请求elasticsearch 返回指定字段
1.直接在请求体当中，json 数据，对应的是一个列表
{
"_source":["title","id","desc"],
"from":10,
"size":100,
}
至于from和size是浅分页
2. 或者这样
{"_source":{"includes":["title","url","id"],"excludes":["desc"]
}
}
其中includes代表需要返回的字段，excludes代表不要返回的字段
3.直接在请求url带上需要查询参数
curl -XGET "localhost:9200/_search?pretty&filter_path=took,hits.hits._id,hits.hits._score"
{"took" : 3,"hits": {"hits": [
{"_id" : "3640","_score" : 1.0},
{"_id" : "3642","_score" : 1.0}
]
}
}
对_source的字段进行过滤
curl -XGET "localhost:9200/_search?pretty&filter_path=hits.hits._source&_source=title"
{"hits": {"hits": [ {"_source":{"title":"Book #2"}
}, {"_source":{"title":"Book #1"}
}, {"_source":{"title":"Book #3"}
} ]
}
}
这样也可以
_search?_source=goodsId,uri
_search?fields=goodsId,uri
2.python 对接elassearch ，指定返回字段
1.实例化的es客户端，然后调用search方法，传入参数，params
from elasticsearch import Elasticsearch
es=Elasticseach(xxxx) es.search(params={"_source":"title,id,desc,url"})
注：这边调用的是包中的search方法，和postman不一样的是，_source的值是一个z字符串，不同字段用逗号隔开，而post满是一个列表
2.也是调用Elasticsearch的search方法，传入参数不是param，而直接是_source字段
pprint(es.search(index="person", body={"query": {"match": {"age": "19"}}}, _source=["name"]))
结果：
{"_shards": {"failed": 0, "skipped": 0, "successful": 1, "total": 1},"hits": {"hits": [{"_id": "xFznIXIBMTX0DMkCyicV","_index": "person","_score": 1.0,"_source": {"name": "lisi"},"_type": "male"}],"max_score": 1.0,"total": {"relation": "eq", "value": 1}},"timed_out": False,"took": 1}
3.不懂直接查询api接口
4.返回文档版本字段
GET /_search
{"version": true,"query": {"term" : { "user" : "kimchy"}
}
}
5.Script Field 用脚本来对命中的每个文档的字段进行运算后返回
GET /bank/_search
{"query": {"match_all": {}
},"script_fields": {"test1": {"script": {"lang": "painless","source": "doc["balance"].value * 2"}
},"test2": {"script": {"lang": "painless",
"source": "doc["age"].value * params.factor","params": {"factor": 2}
}
} }}
搜索结果：
{"took": 3,"timed_out": false,"_shards": {"total": 5,"successful": 5,"skipped": 0,"failed": 0
},"hits": {"total": 1000,"max_score": 1,"hits": [
{"_index": "bank","_type": "_doc","_id": "25","_score": 1,"fields": {"test1": [
],"test2": [
]
}
},
{"_index": "bank","_type": "_doc","_id": "44","_score": 1,"fields": {"test1": [
],"test2": [
]
}
}}
]
}
}
示例2
GET/bank/_search
{"query": {"match_all": {}
},"script_fields": {"ffx": {"script": {"lang": "painless","source": "doc["age"].value * doc["balance"].value"}
},"balance*2": {"script": {"lang": "painless","source": "params["_source"].balance*2"}
}
}
}
搜索结果：
{"took": 26,"timed_out": false,"_shards": {"total": 5,"successful": 5,"skipped": 0,"failed": 0
},"hits": {"total": 1000,"max_score": 1,"hits": [
{"_index": "bank","_type": "_doc","_id": "25","_score": 1,"fields": {"balance*2": [
],"ffx": [
]
}
},
{"_index": "bank","_type": "_doc","_id": "44","_score": 1,"fields": {"balance*2": [
],"ffx": [
]
}
},}
]
}
}
说明： params _source 取 _source字段值
官方推荐使用doc，理由是用doc效率比取_source 高
的处理方式)
