如何从SQL Server表对象生成类?

我说的不是使用ORM。我只需要创建实体(简单类)。喜欢的东西:

    public class Person 
    {
        public string Name { get;set; }
        public string Phone { get;set; }
    }

给定一个表,比如:

+----+-------+----------------+
| ID | Name  |     Phone      |
+----+-------+----------------+
|  1 | Alice | (555) 555-5550 |
|  2 | Bob   | (555) 555-5551 |
|  3 | Cathy | (555) 555-5552 |
+----+-------+----------------+



当前回答

如果你可以访问SQL Server 2016,你可以使用FOR JSON(包含INCLUDE_NULL_VALUES)选项从选择语句中获取JSON输出。复制输出,然后在Visual Studio中,粘贴special ->,粘贴JSON作为类。

算是预算上的解决方案,但可能会节省一些时间。

其他回答

你刚刚做了,只要你的表包含两列,并被称为'tblPeople'之类的东西。

您总是可以编写自己的SQL包装器。实际上我更喜欢这样做,我讨厌生成代码,以任何方式。

也许创建一个DAL类,并有一个名为GetPerson(int id)的方法,用于查询数据库中的person,然后从结果集中创建person对象。

设置@TableName为你的表名。

declare @TableName sysname = 'TableName'
declare @Result varchar(max) = 'public class ' + @TableName + '
{'

select @Result = @Result + '
    public ' + ColumnType + NullableSign + ' ' + ColumnName + ' { get; set; }
'
from
(
    select 
        replace(col.name, ' ', '_') ColumnName,
        column_id ColumnId,
        case typ.name 
            when 'bigint' then 'long'
            when 'binary' then 'byte[]'
            when 'bit' then 'bool'
            when 'char' then 'string'
            when 'date' then 'DateTime'
            when 'datetime' then 'DateTime'
            when 'datetime2' then 'DateTime'
            when 'datetimeoffset' then 'DateTimeOffset'
            when 'decimal' then 'decimal'
            when 'float' then 'double'
            when 'image' then 'byte[]'
            when 'int' then 'int'
            when 'money' then 'decimal'
            when 'nchar' then 'string'
            when 'ntext' then 'string'
            when 'numeric' then 'decimal'
            when 'nvarchar' then 'string'
            when 'real' then 'float'
            when 'smalldatetime' then 'DateTime'
            when 'smallint' then 'short'
            when 'smallmoney' then 'decimal'
            when 'text' then 'string'
            when 'time' then 'TimeSpan'
            when 'timestamp' then 'long'
            when 'tinyint' then 'byte'
            when 'uniqueidentifier' then 'Guid'
            when 'varbinary' then 'byte[]'
            when 'varchar' then 'string'
            else 'UNKNOWN_' + typ.name
        end ColumnType,
        case 
            when col.is_nullable = 1 and typ.name in ('bigint', 'bit', 'date', 'datetime', 'datetime2', 'datetimeoffset', 'decimal', 'float', 'int', 'money', 'numeric', 'real', 'smalldatetime', 'smallint', 'smallmoney', 'time', 'tinyint', 'uniqueidentifier') 
            then '?' 
            else '' 
        end NullableSign
    from sys.columns col
        join sys.types typ on
            col.system_type_id = typ.system_type_id AND col.user_type_id = typ.user_type_id
    where object_id = object_id(@TableName)
) t
order by ColumnId

set @Result = @Result  + '
}'

print @Result

我尝试过node.js,它对我来说工作得很好。

它将为您创建模型文件。您可以创建多个模型文件

前提条件:安装node.js

需要更改:

在你的工作区中创建index.js文件 在“allTable”中添加你的tables对象(截图中高亮显示) 更改文件夹路径(我已经给出了我的系统路径) 执行命令节点index.js

节点index.js

输出

const fs = require('fs/promises'); async function convertToDataType(dataArray, fileName) { let count = 0; let tempArray = []; var dataTypeArray = [ { "key": "bigint", "value": "long" }, { "key": "binary", "value": "byte[]" }, { "key": "bit", "value": "bool" }, { "key": "char", "value": "string" }, { "key": "date", "value": "DateTime" }, { "key": "datetime", "value": "DateTime" }, { "key": "datetime2", "value": "DateTime" }, { "key": "datetimeoffset", "value": "DateTimeOffset" }, { "key": "decimal", "value": "decimal" }, { "key": "float", "value": "double" }, { "key": "image", "value": "byte[]" }, { "key": "int", "value": "int" }, { "key": "money", "value": "decimal" }, { "key": "nchar", "value": "string" }, { "key": "ntext", "value": "string" }, { "key": "numeric", "value": "decimal" }, { "key": "nvarchar", "value": "string" }, { "key": "real", "value": "float" }, { "key": "smalldatetime", "value": "DateTime" }, { "key": "smallint", "value": "short" }, { "key": "smallmoney", "value": "decimal" }, { "key": "text", "value": "string" }, { "key": "time", "value": "TimeSpan" }, { "key": "timestamp", "value": "long" }, { "key": "tinyint", "value": "byte" }, { "key": "uniqueidentifier", "value": "Guid" }, { "key": "varbinary", "value": "byte[]" }, { "key": "varchar", "value": "string" } ] dataArray.map(i => { let objDataType = ''; objDataType = dataTypeArray.filter(data => data.key == i.split(' ')[1].replace('[', '').replace(']', ''))[0].value; if (objDataType == '') { count++; } let isNull = i.includes('NULL') && !(i.includes('varchar') || i.includes('bit')) ? '?' : ''; isNull = i.includes('NOT NULL') ? '' : isNull; const varValue = i.split(' ')[0].replace('[', '').replace(']', ''); if (count != 0) { console.warn(`\n\n\n ======> Error:: Check data type is missing. Datatype => ${i.split(' ')[1]} Object Name: ${fileName} \n\n\n`); } else { tempArray.push(`public ${objDataType}${isNull} ${varValue} { get; set; }`); } }); return tempArray; } async function convertToModel() { try { let allTable = { EmployeeAllowancesHistory: [ "[EmployeeAllowanceHistoryID] [int] NOT NULL", "[EmployeeID] [int] NOT NULL", "[AllowanceID] [int] NOT NULL", "[DateID] [int] NULL", "[Amount] [numeric] NOT NULL", "[Insured] [bit] NULL", "[ChangeDate] [datetime] NOT NULL", "[NewAmount] [numeric] NULL" ], Cities: [ "[CityID] [int] NOT NULL", "[CityCode] [varchar] NOT NULL", "[CityNameAr] [varchar] NULL", "[CityNameEn] [varchar] NULL", "[InKSA] [bit] NOT NULL", "[HighClass] [bit] NOT NULL", "[TravelDays] [int] NULL" ], Regions: [ "[RegionID] [int] NOT NULL", "[RegionCode] [nvarchar] NULL", "[RegionNameEn] [nvarchar] NULL", "[RegionNameAr] [nvarchar] NULL", "[CityID] [int] NULL" ] } for (var file in allTable) { const tableObject = await convertToDataType(allTable[file], file); let tempContent = "[key]"; tableObject.map(obj => { tempContent = `${tempContent} ${obj}` }); const content = `using System; using System.Collections.Generic; using System.Linq; using System.Threading.Tasks; namespace Core.Entities { public class ${file} { ${tempContent} } }` fs.writeFile(`/model_files/${file}.cs`, content); } console.log('Created successfully...'); } catch (err) { console.log(err); } } convertToModel();

从Postgres DB生成

DO $$ DECLARE v_tabela varchar; DECLARE v_cursor_colunas record; DECLARE v_nome_coluna varchar; DECLARE v_classe VARCHAR; DECLARE v_tipo VARCHAR; DECLARE v_schema_name VARCHAR; BEGIN v_schema_name := 'my-schema'; v_tabela := 'my-table'; select table_name INTO v_tabela from information_schema.tables where table_schema = v_schema_name and table_type = 'BASE TABLE' and table_name = v_tabela; v_classe := E'\r\n' || 'public class ' || v_tabela || ' {' || E'\r\n'; FOR v_cursor_colunas IN SELECT column_name as coluna, is_nullable as isnull, data_type as tipo, character_maximum_length as tamanho FROM information_schema.columns WHERE table_schema = v_schema_name AND table_name = v_tabela LOOP IF v_cursor_colunas.tipo='character varying' THEN v_tipo:= 'string'; ELSIF v_cursor_colunas.tipo='character' and v_cursor_colunas.tamanho=1 THEN v_tipo:= 'char'; ELSIF v_cursor_colunas.tipo='character' and v_cursor_colunas.tamanho<>1 THEN v_tipo:= 'string'; ELSIF v_cursor_colunas.tipo like 'timestamp%' THEN v_tipo:= 'DateTime'; IF v_cursor_colunas.isnull='YES' then v_tipo:= 'DateTime?'; END IF; ELSIF v_cursor_colunas.tipo='boolean' THEN v_tipo:= 'bool'; IF v_cursor_colunas.isnull='YES' then v_tipo:= 'bool?'; END IF; ELSIF v_cursor_colunas.tipo='integer' THEN v_tipo:= 'int'; IF v_cursor_colunas.isnull='YES' then v_tipo:= 'int?'; END IF; ELSIF v_cursor_colunas.tipo='numeric' THEN v_tipo:= 'double'; IF v_cursor_colunas.isnull='YES' then v_tipo:= 'double?'; END IF; ELSIF v_cursor_colunas.tipo='text' THEN v_tipo:= 'string'; ELSE v_tipo:= 'another'; END IF; v_nome_coluna := v_cursor_colunas.coluna; v_classe := v_classe || 'public ' || v_tipo || ' ' || v_cursor_colunas.coluna || ' { get; set; }' || E'\r\n'; END LOOP;

v_class:= v_class || E'\r\n' || '}'; RAISE NOTICE '%', v_class; $ $;

使用模板创建自定义代码

create PROCEDURE [dbo].[createCode]
(   
   @TableName sysname = '',
   @befor varchar(max)='public class  @TableName  
{',
   @templet varchar(max)=' 
     public @ColumnType @ColumnName   { get; set; }  // @ColumnDesc  ',
   @after varchar(max)='
}'

)
AS
BEGIN 


declare @result varchar(max)

set @befor =replace(@befor,'@TableName',@TableName)

set @result=@befor

select @result = @result 
+ replace(replace(replace(replace(replace(@templet,'@ColumnType',ColumnType) ,'@ColumnName',ColumnName) ,'@ColumnDesc',ColumnDesc),'@ISPK',ISPK),'@max_length',max_length)

from  
(
    select 
    column_id,
    replace(col.name, ' ', '_') ColumnName,
    typ.name as sqltype,
    typ.max_length,
    is_identity,
    pkk.ISPK, 
        case typ.name 
            when 'bigint' then 'long'
            when 'binary' then 'byte[]'
            when 'bit' then 'bool'
            when 'char' then 'String'
            when 'date' then 'DateTime'
            when 'datetime' then 'DateTime'
            when 'datetime2' then 'DateTime'
            when 'datetimeoffset' then 'DateTimeOffset'
            when 'decimal' then 'decimal'
            when 'float' then 'float'
            when 'image' then 'byte[]'
            when 'int' then 'int'
            when 'money' then 'decimal'
            when 'nchar' then 'char'
            when 'ntext' then 'string'
            when 'numeric' then 'decimal'
            when 'nvarchar' then 'String'
            when 'real' then 'double'
            when 'smalldatetime' then 'DateTime'
            when 'smallint' then 'short'
            when 'smallmoney' then 'decimal'
            when 'text' then 'String'
            when 'time' then 'TimeSpan'
            when 'timestamp' then 'DateTime'
            when 'tinyint' then 'byte'
            when 'uniqueidentifier' then 'Guid'
            when 'varbinary' then 'byte[]'
            when 'varchar' then 'string'
            else 'UNKNOWN_' + typ.name
        END + CASE WHEN col.is_nullable=1 AND typ.name NOT IN ('binary', 'varbinary', 'image', 'text', 'ntext', 'varchar', 'nvarchar', 'char', 'nchar') THEN '?' ELSE '' END ColumnType,
      isnull(colDesc.colDesc,'') AS ColumnDesc 
    from sys.columns col
        join sys.types typ on
            col.system_type_id = typ.system_type_id AND col.user_type_id = typ.user_type_id
            left join
            (
                SELECT c.name  AS 'ColumnName', CASE WHEN dd.pk IS NULL THEN 'false' ELSE 'true' END ISPK           
                FROM        sys.columns c
                    JOIN    sys.tables  t   ON c.object_id = t.object_id    
                    LEFT JOIN (SELECT   K.COLUMN_NAME , C.CONSTRAINT_TYPE as pk  
                        FROM INFORMATION_SCHEMA.KEY_COLUMN_USAGE AS K 
                            LEFT JOIN INFORMATION_SCHEMA.TABLE_CONSTRAINTS AS C
                        ON K.TABLE_NAME = C.TABLE_NAME
                            AND K.CONSTRAINT_NAME = C.CONSTRAINT_NAME
                            AND K.CONSTRAINT_CATALOG = C.CONSTRAINT_CATALOG
                            AND K.CONSTRAINT_SCHEMA = C.CONSTRAINT_SCHEMA            
                        WHERE K.TABLE_NAME = @TableName) as dd
                     ON dd.COLUMN_NAME = c.name
                 WHERE       t.name = @TableName       
            ) pkk  on ColumnName=col.name

    OUTER APPLY (
    SELECT TOP 1 CAST(value AS NVARCHAR(max)) AS colDesc
    FROM
       sys.extended_properties
    WHERE
       major_id = col.object_id
       AND
       minor_id = COLUMNPROPERTY(major_id, col.name, 'ColumnId')
    ) colDesc      
    where object_id = object_id(@TableName)

    ) t

    set @result=@result+@after

    select @result
    --print @result

END

现在创建自定义代码

例如c#类

exec [createCode] @TableName='book',@templet =' 
     public @ColumnType @ColumnName   { get; set; }  // @ColumnDesc  '

输出是

public class  book  
{ 
     public long ID   { get; set; }  //    
     public String Title   { get; set; }  // Book Title  
}

对LINQ

exec [createCode] @TableName='book'
, @befor  ='[System.Data.Linq.Mapping.Table(Name = "@TableName")]
public class @TableName
{',

   @templet  =' 
     [System.Data.Linq.Mapping.Column(Name = "@ColumnName", IsPrimaryKey = @ISPK)]
     public @ColumnType @ColumnName   { get; set; }  // @ColumnDesc  
     ' ,

   @after  ='
}'

输出是

[System.Data.Linq.Mapping.Table(Name = "book")]
public class book
{ 
     [System.Data.Linq.Mapping.Column(Name = "ID", IsPrimaryKey = true)]
     public long ID   { get; set; }  //   

     [System.Data.Linq.Mapping.Column(Name = "Title", IsPrimaryKey = false)]
     public String Title   { get; set; }  // Book Title  

}

Java类

exec [createCode] @TableName='book',@templet =' 
     public @ColumnType @ColumnName ; // @ColumnDesc  
     public @ColumnType get@ColumnName()
     {
        return this.@ColumnName;
     }
     public void set@ColumnName(@ColumnType @ColumnName)
     {
        this.@ColumnName=@ColumnName;
     }

     '

输出是

public class  book  
{ 
     public long ID ; //   
     public long getID()
     {
        return this.ID;
     }
     public void setID(long ID)
     {
        this.ID=ID;
     }


     public String Title ; // Book Title  
     public String getTitle()
     {
        return this.Title;
     }
     public void setTitle(String Title)
     {
        this.Title=Title;
     } 
}

为android sugarOrm模型

exec [createCode] @TableName='book'
, @befor  ='@Table(name = "@TableName")
public class @TableName
{',
   @templet  =' 
     @Column(name = "@ColumnName")
     public @ColumnType @ColumnName ;// @ColumnDesc  
     ' ,
   @after  ='
}'

输出是

@Table(name = "book")
public class book
{ 
     @Column(name = "ID")
     public long ID ;//   

     @Column(name = "Title")
     public String Title ;// Book Title  

}