数据库中的数据库(表设计) [英] Database within a database (table design)
问题描述
可能重复:
用于即时创建表的数据库设计
Possible Duplicate:
Database design to create tables on the fly
我需要在数据库中创建一个数据库.此问题与此有关.我将尝试详细解释我想做的事情,并提供代码示例.基本上,我希望能够在数据库中创建动态表.例如,我将创建一个网页,允许用户使用列和数据创建自己的表.这是我想出的数据库设计:
I have a need to create a database within a database. This question is related to this. I will attempt to explain what i am trying to do in detail and provide examples in code. basically, I want to ability to create dynamic tables in a database. For example, I will have a webpage that allows users to create their own table with columns and data. Here is the database design I came up with:
aColumn
aDataType
aRow
aTable
zBit
zDateTime
zMoney
zNumber
zText
以z
开头的表是特定数据输入的数据,例如int,datetime值等.aColumn是属于特定表的列. aRow标识aTable中的特定行.这是数据库设计:
Tables that begin with a z
are data that specific data go in such as ints, datetime values, etc. aColumn are columns that belong to a specific table. aRow identifies a particular row within the aTable. Here is the database design:
aTable: Id, name
aColumn: Id, Name, aTable, aDataType
aDataType: Id, Name
aRow: Id, aTable
zBit: Id, aRow, aColumn, Data(Bit)
zDateTime: Id, aRow, aColumn, Data (DateTime)
zMoney: Id, aRow, aColumn, Data (Money)
zNumber: Id, aRow, aColumn, Data (INT)
zText: Id, aRow, aColumn, Data (nvarchar(MAX))
这是我用来启动和运行的一些示例数据:
Here is some sample data I used to get it up and running:
aTable
Id Name
1 Users
aColumns
Id Name aTable aDataType
1 Name 1 2
2 UserId 1 1
3 Occupation 1 2
aDataType
Id Name
1 Number
2 Text
aRow
Id aTable
1 1
2 1
aNumber
Id aRow aColumn Data
1 1 1 1245
2 2 2 56
aText
Id aRow aColumn Data
1 1 1 Sara
2 2 1 Jake
所有其他z *表均为空白
All other z* tables are blank
以下是创建动态表的查询:
Here is the query to create a dynamic table:
select t.[Id] as [Table], c.Name as [Column], dt.Name as [DataType], r.[Id] as [Row], cast(v.Data as nvarchar(MAX)) as Data from [pod].[dbo].[aTable] t
INNER JOIN [pod].[dbo].[aColumn] c on t.Id = c.[aTable]
INNER JOIN [pod].[dbo].[aDataType] dt on c.[aDataType] = dt.Id
INNER JOIN [pod].[dbo].[aRow] r on t.[Id] = r.[aTable]
INNER JOIN [pod].[dbo].[zBit] v on c.[Id] = v.aColumn and r.[Id] = v.[aRow]
UNION ALL
select t.[Id] as [Table], c.Name as [Column], dt.Name as [DataType], r.[Id] as [Row], cast(v.Data as nvarchar(MAX)) as Data from [pod].[dbo].[aTable] t
INNER JOIN [pod].[dbo].[aColumn] c on t.Id = c.[aTable]
INNER JOIN [pod].[dbo].[aDataType] dt on c.[aDataType] = dt.Id
INNER JOIN [pod].[dbo].[aRow] r on t.[Id] = r.[aTable]
INNER JOIN [pod].[dbo].[zDateTime] v on c.[Id] = v.aColumn and r.[Id] = v.[aRow]
UNION ALL
select t.[Id] as [Table], c.Name as [Column], dt.Name as [DataType], r.[Id] as [Row], cast(v.Data as nvarchar(MAX)) as Data from [pod].[dbo].[aTable] t
INNER JOIN [pod].[dbo].[aColumn] c on t.Id = c.[aTable]
INNER JOIN [pod].[dbo].[aDataType] dt on c.[aDataType] = dt.Id
INNER JOIN [pod].[dbo].[aRow] r on t.[Id] = r.[aTable]
INNER JOIN [pod].[dbo].[zMoney] v on c.[Id] = v.aColumn and r.[Id] = v.[aRow]
UNION ALL
select t.[Id] as [Table], c.Name as [Column], dt.Name as [DataType], r.[Id] as [Row], cast(v.Data as nvarchar(MAX)) as Data from [pod].[dbo].[aTable] t
INNER JOIN [pod].[dbo].[aColumn] c on t.Id = c.[aTable]
INNER JOIN [pod].[dbo].[aDataType] dt on c.[aDataType] = dt.Id
INNER JOIN [pod].[dbo].[aRow] r on t.[Id] = r.[aTable]
INNER JOIN [pod].[dbo].[zMoney] v on c.[Id] = v.aColumn and r.[Id] = v.[aRow]
UNION ALL
select t.[Id] as [Table], c.Name as [Column], dt.Name as [DataType], r.[Id] as [Row], cast(v.Data as nvarchar(MAX)) as Data from [pod].[dbo].[aTable] t
INNER JOIN [pod].[dbo].[aColumn] c on t.Id = c.[aTable]
INNER JOIN [pod].[dbo].[aDataType] dt on c.[aDataType] = dt.Id
INNER JOIN [pod].[dbo].[aRow] r on t.[Id] = r.[aTable]
INNER JOIN [pod].[dbo].[zNumber] v on c.[Id] = v.aColumn and r.[Id] = v.[aRow]
UNION ALL
select t.[Id] as [Table], c.Name as [Column], dt.Name as [DataType], r.[Id] as [Row], cast(v.Data as nvarchar(MAX)) as Data from [pod].[dbo].[aTable] t
INNER JOIN [pod].[dbo].[aColumn] c on t.Id = c.[aTable]
INNER JOIN [pod].[dbo].[aDataType] dt on c.[aDataType] = dt.Id
INNER JOIN [pod].[dbo].[aRow] r on t.[Id] = r.[aTable]
INNER JOIN [pod].[dbo].[zText] v on c.[Id] = v.aColumn and r.[Id] = v.[aRow]
以下是该查询的其中一部分:
Here is one chunk of this query:
select t.[Id] as [Table], c.Name as [Column], dt.Name as [DataType], r.[Id] as [Row], cast(v.Data as nvarchar(MAX)) as Data from [pod].[dbo].[aTable] t
INNER JOIN [pod].[dbo].[aColumn] c on t.Id = c.[aTable]
INNER JOIN [pod].[dbo].[aDataType] dt on c.[aDataType] = dt.Id
INNER JOIN [pod].[dbo].[aRow] r on t.[Id] = r.[aTable]
INNER JOIN [pod].[dbo].[zText] v on c.[Id] = v.aColumn and r.[Id] = v.[aRow]
如您所见,此处的数据(z *个表)由一行和一列标识.当我运行此查询时,我得到以下信息:
As you can see here a piece of data (z* tables) is identified by a row and a column. When I run this query I get this:
结果
Table Column DataType Row Data
1 UserId Number 1 1245
1 UserId Number 2 56
1 Name Text 1 Sara
1 Name Text 2 Jake
这是我想要的结果: (如果列未知,我不确定如何将这些行转换为列)
Here, are my desired results: (I am not sure how to turn these rows into columns if the columns are unknown)
Row UserId Name
1 1245 Sara
2 56 Jake
大问题 该表应该记住3列吗?
Big Problem This table is suppose to have 3 columns remember?
aColumns
Id Name aTable aDataType
1 Name 1 2
2 UserId 1 1
3 Occupation 1 2
所以我最终的预期结果是:
So my final expected results are:
Row UserId Name Occupation
1 1245 Sara NULL
2 56 Jake NULL
在结果中,我还需要对列进行排序.这有可能吗?哪些数据库支持这种功能.我对任何可以做到这一点的数据库敞开大门.
In the results I need to sort columns as well. Is this even possible. What databases support this kind of functionality. I am wide open to any database that can do this.
推荐答案
您可能希望查看基本上,您可以拥有一个带有表名的表,以及表上的其他一些元数据.
Basically you can have a table with table names, and some other meta-data on tables.
然后,您可以为每个行创建一个表以包含列数据,例如数据类型和名称.
Then, you can create a table for each of those rows to have the column data, such as datatype and name.
然后,您有了一个表,将每列的值放在一个长表中.
Then, you have a table where you put the values for each column, in a long table.
这允许您动态创建表,或动态添加/删除行.
This allows you to dynamically create tables, or add/remove rows dynamically.
要比较关系型和EAV,您可以看一下这个问题:
For a comparison on relational and EAV you can look at this question:
但是,如果您想获得此数据的关系视图,则需要创建触发器来帮助使视图保持最新状态,而要使其正常工作可能需要进行大量的工作.如果您不需要关系视图,那应该没事.
If you want to have a relational view of this data though, then you will need to create triggers to help keep views up-to-date, and this can be a great deal of work to get that to work well. If you don't need a relational view then you should be fine.
另一种方法是使用NoSQL数据库( http://en.wikipedia.org/Wiki/NoSQL ),因为不必设置架构,因此您只需存储该行所需的列即可.
Another way to do this is with a NoSQL database (http://en.wikipedia.org/wiki/NoSQL), as the schema doesn't have to be set, and so you can just store the columns you need for that row.
在这一点上,我将采用NoSQL的方式,因为有许多可以使用的数据库,并且您需要做的重新设计很少.
At this point I would go the NoSQL way as there are many databases that can work, and the reinventing you need to do is minimal.
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