You need to enable JavaScript to run this app.
导航
标量排序检索-SearchByScalar
最近更新时间:2025.10.15 11:25:06首次发布时间:2025.08.15 11:30:51
复制全文
我的收藏
有用
有用
无用
无用

概述

接口适用于含有int64/float32类型标量索引字段的索引。向量数据库中的标量检索指的是基于标量值的检索方法。在向量数据库中,每个向量都有一个或多个标量值,标量检索可以基于这些标量值进行检索,找到与查询相关的数据。例如文档检索中的作者特征检索。

请求接口

说明

请求向量数据库 VikingDB 的 OpenAPI 接口时,可以使用 ak、sk 构造签名进行鉴权。请参见数据面API调用流程,复制调用示例并填入必要信息

URI

/api/vikingdb/data/search/scalar

统一资源标识符

方法

POST

客户端对向量数据库服务器请求的操作类型

请求头

Content-Type: application/json

请求消息类型

Authorization: HMAC-SHA256 ***

鉴权

请求体参数

仅列出本接口特有的参数。更多信息请参见检索公共参数

参数名

必选

类型

备注

field

string

字段名。前提条件:1.字段必须为int64或float32。2.必须为此字段建立的标量索引。

order

string

asc/desc。默认desc为降序排列,asc为正序排列。

请求响应示例
  • 请求参数
req_path = "/api/vikingdb/data/search/scalar"
req_body = {
    "collection_name": "test_coll",
    "index_name": "idx_1",
    "limit": 2,
    "field": "f_price",
    "order": "desc"
}
  • 响应参数
{
    "code": "Success",
    "message": "The API call was executed successfully.",
    "request_id": "02175438839168500000000000000000000ffff0a003ee4fc3499",
    "result": {
        "data": [
            {
                "id": "uid_001",
                "fields": {
                    "f_good_id": "uid_001", "f_price": 999000
                },
                "score": 999000
            },
            {
                "id": "uid_002",
                "fields": {
                    "f_good_id": "uid_002", "f_price": 309000
                },
                "score": 309000
            }
        ],
        "total_return_count": 2
    }
}

请求模版
"""
pip3 install volcengine
"""
import os

from volcengine.auth.SignerV4 import SignerV4
from volcengine.Credentials import Credentials
from volcengine.base.Request import Request
import requests, json

class ClientForDataApi:
    def __init__(self, ak, sk, host):
        self.ak = ak
        self.sk = sk
        self.host = host

    def prepare_request(self, method, path, params=None, data=None):
        r = Request()
        r.set_shema("https")
        r.set_method(method)
        r.set_connection_timeout(10)
        r.set_socket_timeout(10)
        mheaders = {
            'Accept': 'application/json',
            'Content-Type': 'application/json',
            'Host': self.host,
        }
        r.set_headers(mheaders)
        if params:
            r.set_query(params)
        r.set_host(self.host)
        r.set_path(path)
        if data is not None:
            r.set_body(json.dumps(data))
        credentials = Credentials(self.ak, self.sk, 'vikingdb', 'cn-beijing')
        SignerV4.sign(r, credentials)
        return r
        
    def do_req(self, req_method, req_path, req_params, req_body):
        req = self.prepare_request(method=req_method, path=req_path, params=req_params, data=req_body)
        return requests.request(method=req.method, url="http://{}{}".format(self.host, req.path),
                                  headers=req.headers, data=req.body, timeout=10000)

if __name__ == '__main__':
    client = ClientForDataApi(
        ak = "*",#替换为您的ak
        sk = "*",#替换为您的sk
        host = "api-vikingdb.vikingdb.cn-beijing.volces.com",#替换为您所在的域名
    )
    req_method = "POST"
    req_params = None
    req_path = "/api/vikingdb/data/search/scalar"
    req_body = {
        "collection_name": "test_coll",
        "index_name": "idx_1",
        "limit": 2,
        "field": "f_price",
        "order": "desc"
    }
    result = client.do_req(req_method=req_method, req_path=req_path, req_params=req_params, req_body=req_body)
    print("req http status code: ", result.status_code)
    print("req result: \n", result.text)