RavenDB中元数据的提取

RavenDB中元数据的提取,ravendb,Ravendb,与SQL Server中类似,我想查询元数据,但在ravenDB中 理想的输出表是 Column Name | Primary Key | Data Type | Size | Nullability 您可以使用如下查询获取文档的“架构”: declare function Schema(doc) { var fields = []; var keys = Object.keys(doc); for(var i = 0; i < keys.length; i +

与SQL Server中类似,我想查询元数据,但在ravenDB中

理想的输出表是

Column Name | Primary Key | Data Type | Size | Nullability 
您可以使用如下查询获取文档的“架构”:

declare function Schema(doc) {
    var fields = [];
    var keys = Object.keys(doc);
    for(var i = 0; i < keys.length; i ++){
        fields.push({
            Name: keys[i],
            Type: typeof doc[keys[i]]
        })
    }
    return { Fields: fields };
}
from Employees  as e
select Schema(e)
limit 1

请注意,在RavenDB中,您并没有真正的模式。不同的单据可能有不同的字段。
根据需求的复杂性,您可能需要递归到嵌套对象中,如
territions
Address

RavenDB是一个包含json文档的非关系型NoSQL数据库,不涉及任何模式。你的问题到底是什么?
{
    "Fields": [
        {
            "Name": "LastName",
            "Type": "string"
        },
        {
            "Name": "FirstName",
            "Type": "string"
        },
        {
            "Name": "Title",
            "Type": "string"
        },
        {
            "Name": "Address",
            "Type": "object"
        },
        {
            "Name": "HiredAt",
            "Type": "string"
        },
        {
            "Name": "Birthday",
            "Type": "string"
        },
        {
            "Name": "HomePhone",
            "Type": "string"
        },
        {
            "Name": "Extension",
            "Type": "string"
        },
        {
            "Name": "ReportsTo",
            "Type": "string"
        },
        {
            "Name": "Notes",
            "Type": "object"
        },
        {
            "Name": "Territories",
            "Type": "object"
        },
        {
            "Name": "@metadata",
            "Type": "object"
        },
        {
            "Name": "New",
            "Type": "string"
        }
    ],
    "@metadata": {
        "@flags": "HasRevisions, HasAttachments, Reverted",
        "@id": "employees/8-A",
        "@last-modified": "2019-10-23T15:03:03.0396651Z",
        "@change-vector": "A:2239343-ZAAsE6haIECPXQA6XsIt5A, A:1887-0N64iiIdYUKcO+yq1V0cPA, A:6214-xwmnvG1KBkSNXfl7/0yJ1A",
        "@projection": true,
        "@index-score": 0
    }
}