单节点快速入门_智能开放搜索 OpenSearch(Open Search)-阿里云帮助中心

本文为您介绍如何购买OpenSearch向量检索版单节点实例。

购买实例

进入OpenSearch控制台，在左上角切换到OpenSearch-向量检索版：然后在实例列表界面，单击创建实例：
商品版本选择向量检索版，选择地区，配置“数据节点数量”、“数据节点规格”、“单数据节点总存储空间”，设置“专有网络”和“虚拟交换机”，最后按提示要求设置用户名和用户密码（用于查询时校验权限，非阿里云账号密码），单击“立即购买”：
说明
- 购买的数据节点的个数及规格，需根据自身业务进行规划，确定规格后实际费用可在售卖页自动生成。
- 单节点方案，可不购买查询节点（即查询节点数量为0），查询节点规格族不生效。
- 专有网络和虚拟交换的配置一定要和访问向量检索版实例的ECS机器保持一致。否则在访问向量检索版实例时会报错{'errors':{'code':'403','message':'Forbidden'}}。
- 数据节点规格族SSD盘有50G的免费额度，额外额度按步长50GB收费；云盘型无免费额度，额度按步长50GB收费。
在确认订单界面，查看服务协议，确认无误后，单击立即开通：
购买成功后，单击管理控制台，即可在实例列表界面查看已购买的向量检索版实例：

配置实例

新购买的实例，在其详情页中，实例状态为“待配置”，并且会自动部署一个与购买的数据节点的个数及规格一致的空实例，之后需要为该实例配置表信息>数据同步>字段配置>索引结构，之后等待索引重建完成即可正常搜索。

1. 表基础信息

表管理单击“添加表"，输入表名称，设置数据分片数和数据更新资源数，选择需要的场景模板，单击下一步：

配置说明：

表名称：可自定义。
数据分片数：由于是单节点实例，固定默认值为1，不可变更；当前实例仅支持单分片方案，可通过扩容支持多节点，详情可见扩缩容文档。
数据更新资源数：数据更新所用资源数，每个索引默认免费提供2个4核8G的更新资源，超出免费额度的资源将产生费用，详情可参考向量检索版计费概述
场景模板：向量检索版内置了3种模板可供用户选择：通用、向量-图片搜索、向量-文本语义模板。

2. 数据同步

配置数据源（目前支持的数据源有OSS、MaxCompute数据源和API推送数据源），这里以MaxCompute数据源为例，数据源类型选择MaxCompute，设置Project、AccesskeyID、AccesskeySecret、Table、分组键partition、时间戳，可按需选择是否开启“自动索引重建”选择完成之后可选择校验，通过后可单击下一步：

MaxCompute数据源文档参考
API 数据源文档参考
OSS数据源文档参考

3. 字段配置

OpenSearch会根据您选择的场景模板，预置相关字段，并会将全量数据来源中的字段（如有），自动导入字段列表中：

设置字段，必须包含至少两个字段，主键字段和向量字段（向量字段需要设置为多值float类型）:

如果需要带有命名空间的向量，可以在主键和向量字段中间加一个命名空间字段。

字段配置说明：

必选字段：主键字段和向量字段，主键字段为int或string类型并且需要勾选主键按钮，向量字段为float类型并且需要勾选向量字段按钮；
向量字段默认为多值的float类型，多值分隔符默认使用系统默认分割符^] 进行切分（其对应utf编码为\x1D），也可以输入自定义多值分隔符
使用向量检索，在定义字段时有位置要求，需要按照主键字段、命名空间字段（非必要）、向量字段的顺序创建。（如上图所示）
当数据中缺少字段或字段为空时，系统将自动补充默认值，数字类型默认补0，STRING类型默认补空字符串，支持自定义默认值

4. 索引结构

4.1. 向量索引

OpenSearch会对主键与向量字段自动构建索引，索引名与字段名相同，只需要在控制台配置向量索引：

高级配置，向量索引需要单独配置参数，详情可参考向量索引通用配置

说明

主键字段、向量字段必须填写，命名空间字段非必填，可以为空。
仅支持选择固定的三个字段，不支持新增。
系统自动填充向量索引的配置参数，如无特殊需求，可直接单击「下一步」快速完成配置。
命名空间字段：实例引擎版本为vetcor service 1.0.2及以下版本，namespace标签字段不支持string格式类型；实例引擎版本为vetcor service 1.0.2及以上版本，无此限制。

5. 确认创建

索引配置完成后，单击「确认创建」；可以看到表状态在创建中，如下图所示。

6. 变更历史

实例管理-变更历史，可以看到近3天、7天、30天变更记录，例如：创建表、新增索引、扩容及全量的所有流程，如下截图时创建表的过程；全部完成之后引擎搭建完成，可以开始查询测试：

7. 查询测试

查询示例：

{
  "vector": [0.0019676427,0.005902928,0.021644069,0.21644068,0.12199384,0.043288138,0.007870571,0.0,0.08460863,0.041320495,0.043288138,0.035417568,0.011805856,0.055093993,0.12592913,0.017708784,0.021644069,0.0019676427,0.0,0.0,0.0019676427,0.078705706,0.1987319,0.041320495,0.039352853,0.0039352854,0.007870571,0.0039352854,0.0039352854,0.017708784,0.035417568,0.06886749,0.0019676427,0.0019676427,0.013773498,0.049191065,0.2125054,0.22824654,0.123961486,0.0039352854,0.0,0.0,0.021644069,0.14560555,0.078705706,0.1987319,0.22824654,0.005902928,0.064932205,0.0019676427,0.0019676427,0.021644069,0.027546996,0.035417568,0.22824654,0.22824654,0.1337997,0.023611711,0.009838213,0.007870571,0.0039352854,0.0039352854,0.017708784,0.20069954,0.033449925,0.005902928,0.019676426,0.035417568,0.015741142,0.029514639,0.13183205,0.123961486,0.029514639,0.0,0.027546996,0.22824654,0.15741141,0.0,0.0039352854,0.043288138,0.18889369,0.072802775,0.055093993,0.17315255,0.08460863,0.0019676427,0.007870571,0.035417568,0.22824654,0.10034977,0.009838213,0.021644069,0.062964566,0.027546996,0.015741142,0.04525578,0.086576276,0.033449925,0.023611711,0.017708784,0.0,0.0,0.03738521,0.072802775,0.16724962,0.035417568,0.031482283,0.20463483,0.043288138,0.011805856,0.0039352854,0.051158708,0.023611711,0.11412327,0.13183205,0.16134669,0.049191065,0.023611711,0.0039352854,0.0039352854,0.049191065,0.035417568,0.015741142,0.0039352854,0.03738521,0.08264099,0.094446845,0.021644069],
  "topK": 10,
  "includeVector": true
}