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

因为之前没有人提到它,所以还有Scaffold-DbContext

在NuGet Package Manager控制台类型如下: Microsoft.EntityFrameworkCore.SqlServer -OutputDir "输出目录"

其他回答

如果它对其他人有用,使用属性映射处理Code-First方法,我想要一些只需要在对象模型中绑定实体的东西。所以感谢食肉牛的回答,我根据他们自己的建议扩展了它,并做了一些调整。

因此,这依赖于这个解决方案,包括两个部分,这两个部分都是SQL标量值函数:

一个'Initial Caps'函数(取自: https://social.msdn.microsoft.com/Forums/sqlserver/en-US/8a58dbe1-7a4b-4287-afdc-bfecb4e69b23/similar-to-initcap-in-sql-server-tsql 并略有修改,以满足我的需求)

ALTER function [dbo].[ProperCase] (@cStringToProper varchar(8000))
returns varchar(8000)
as
begin
   declare  @Position int
    select @cStringToProper = stuff(lower(@cStringToProper) , 1 , 1 , upper(left(@cStringToProper , 1)))
        , @Position = patindex('%[^a-zA-Z][a-z]%' , @cStringToProper collate Latin1_General_Bin)

   while @Position > 0
         select @cStringToProper = stuff(@cStringToProper , @Position , 2 , upper(substring(@cStringToProper , @Position , 2)))
              , @Position = patindex('%[^a-zA-Z][a-z]%' , @cStringToProper collate Latin1_General_Bin)

  select @cStringToProper = replace(@cStringToProper, '_','')

   return @cStringToProper
end

输出函数本身,它扩展了食肉牛的解决方案: 正确输出换行符 执行一些基本的表格 写出合适的a [Table]映射(如建议的那样) 写出适当的[Column]映射,包括类型名(如建议的那样) 允许实体名称与表的名称不同 修复当表中有大量列时Print @Result截断的限制

CREATE FUNCTION [dbo].[GetEntityObject] (@NameSpace NVARCHAR(MAX), @TableName NVARCHAR(MAX), @EntityName NVARCHAR(MAX))  RETURNS NVARCHAR(MAX) AS BEGIN

DECLARE @result NVARCHAR(MAX)

SET @result = @result + 'using System;' + CHAR(13) + CHAR(13) 

IF (@NameSpace IS NOT NULL)  BEGIN
    SET @result = @result + 'namespace ' + @NameSpace  + CHAR(13) + '{' + CHAR(13)  END

SET @result = @result + '[Table(name: ' + CHAR(34) + @TableName + CHAR(34) + ')]' + CHAR(13) SET @result = @result + 'public class ' + @EntityName + CHAR(13) + '{' + CHAR(13) 

SET @result = @result + '#region Instance Properties' + CHAR(13)  

SELECT @result = @result + CHAR(13)     + '[Column(name: ' + CHAR(34) + OriginalColumnName + CHAR(34) + ', TypeName = ' + CHAR(34) + DataType
+ CHAR(34) + ')]' + CHAR(13)
    + 'public ' + ColumnType + ' ' + ColumnName + ' { get; set; } ' + CHAR(13)  FROM (
    SELECT dbo.ProperCase (c.COLUMN_NAME)   AS ColumnName 
        , CASE c.DATA_TYPE   
            WHEN 'bigint' THEN
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Int64?' ELSE 'Int64' END
            WHEN 'binary' THEN 'Byte[]'
            WHEN 'bit' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Boolean?' ELSE 'Boolean' END            
            WHEN 'char' THEN 'String'
            WHEN 'date' THEN
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'DateTime?' ELSE 'DateTime' END                        
            WHEN 'datetime' THEN
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'DateTime?' ELSE 'DateTime' END                        
            WHEN 'datetime2' THEN  
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'DateTime?' ELSE 'DateTime' END                        
            WHEN 'datetimeoffset' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'DateTimeOffset?' ELSE 'DateTimeOffset' END                                    
            WHEN 'decimal' THEN  
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Decimal?' ELSE 'Decimal' END                                    
            WHEN 'float' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Single?' ELSE 'Single' END                                    
            WHEN 'image' THEN 'Byte[]'
            WHEN 'int' THEN  
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Int32?' ELSE 'Int32' END
            WHEN 'money' THEN
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Decimal?' ELSE 'Decimal' END                                                
            WHEN 'nchar' THEN 'String'
            WHEN 'ntext' THEN 'String'
            WHEN 'numeric' THEN
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Decimal?' ELSE 'Decimal' END                                                            
            WHEN 'nvarchar' THEN 'String'
            WHEN 'real' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Double?' ELSE 'Double' END                                                                        
            WHEN 'smalldatetime' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'DateTime?' ELSE 'DateTime' END                                    
            WHEN 'smallint' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Int16?' ELSE 'Int16'END            
            WHEN 'smallmoney' THEN  
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Decimal?' ELSE 'Decimal' END                                                                        
            WHEN 'text' THEN 'String'
            WHEN 'time' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'TimeSpan?' ELSE 'TimeSpan' END                                         
            WHEN 'timestamp' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'DateTime?' ELSE 'DateTime' END                                    
            WHEN 'tinyint' THEN 
                CASE C.IS_NULLABLE
                    WHEN 'YES' THEN 'Byte?' ELSE 'Byte' END                                                
            WHEN 'uniqueidentifier' THEN 'Guid'
            WHEN 'varbinary' THEN 'Byte[]'
            WHEN 'varchar' THEN 'String'
            ELSE 'Object'
        END AS ColumnType
        , c.ORDINAL_POSITION        , c.COLUMN_NAME as OriginalColumnName       ,c.DATA_TYPE as DataType

FROM    INFORMATION_SCHEMA.COLUMNS c WHERE   c.TABLE_NAME = @TableName) t ORDER BY t.ORDINAL_POSITION

SET @result = @result + CHAR(13) + '#endregion Instance Properties' + CHAR(13)  

SET @result = @result  + '}' + CHAR(13)

IF (@TableName IS NOT NULL)  BEGIN
    SET @result = @result + CHAR(13) + '}'  END

return @result END

在MS SQL Management Studio中使用:

选择dbo。GetEntityObject(“我的名字”、“我的名字”、“我的名字”)

将生成一个可以复制粘贴到Visual Studio中的列值。

如果这对任何人都有帮助,那太好了!

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; $ $;

Oracle DB的另一个解决方案-> c#

单查询 无功能无步骤 Mulitple表

添加DataAnnotations

(例子) (需要) (表) (StringLength) (列) 可以为空

查询

https://gist.github.com/omansak/f19eefffd2d639ac72a1f4b506d8471a

输出

[Table("AGENTS")]
public class Agents
{
    [Key]
    [Required]
    [Column("INT_ID", TypeName = "NUMBER(10,0)", Order = 1)]
    public long IntId { get; set; }
    [Key]
    [Required]
    [StringLength(15)]
    [Column("REFERENCE_CODE", TypeName = "VARCHAR2(15)", Order = 2)]
    public string ReferenceCode { get; set; }
    [Required]
    [Column("PARENT_INT_ID", TypeName = "NUMBER(10,0)", Order = 3)]
    public long ParentIntId { get; set; }
    [Required]
    [StringLength(200)]
    [Column("TITLE", TypeName = "VARCHAR2(200)", Order = 4)]
    public string Title { get; set; }
    [Required]
    [Column("START_DATE", TypeName = "DATE", Order = 5)]
    public DateTime StartDate { get; set; }
    [Required]
    [Column("END_DATE", TypeName = "DATE", Order = 6)]
    public DateTime EndDate { get; set; }
    [Required]
    [StringLength(1)]
    [Column("AGENT_TYPE", TypeName = "VARCHAR2(1)", Order = 7)]
    public string AgentType { get; set; }
    [Required]
    [Column("CREATE_DATE", TypeName = "DATE", Order = 8)]
    public DateTime CreateDate { get; set; }
    [Required]
    [StringLength(32)]
    [Column("CREATE_USER", TypeName = "VARCHAR2(32)", Order = 9)]
    public string CreateUser { get; set; }
    [StringLength(200)]
    [Column("RESPONSIBLE_CONTACT", TypeName = "VARCHAR2(200)", Order = 10)]
    public string ResponsibleContact { get; set; }
    [StringLength(100)]
    [Column("RESPONSIBLE_TITLE", TypeName = "VARCHAR2(100)", Order = 11)]
    public string ResponsibleTitle { get; set; }
    [StringLength(100)]
    [Column("AGENCY_PLATE_NO", TypeName = "VARCHAR2(100)", Order = 12)]
    public string AgencyPlateNo { get; set; }
    [Column("AGENCY_COVER_AMOUNT", TypeName = "NUMBER(24,2)", Order = 13)]
    public double? AgencyCoverAmount { get; set; }
    [StringLength(100)]
    [Column("MERSIS_NO", TypeName = "VARCHAR2(100)", Order = 14)]
    public string MersisNo { get; set; }
    [StringLength(100)]
    [Column("TECH_PERSONEL_NO", TypeName = "VARCHAR2(100)", Order = 15)]
    public string TechPersonelNo { get; set; }
    [StringLength(100)]
    [Column("TECH_PERSONEL_NAME", TypeName = "VARCHAR2(100)", Order = 16)]
    public string TechPersonelName { get; set; }
    [Column("COVER_END_DATE", TypeName = "DATE", Order = 17)]
    public DateTime? CoverEndDate { get; set; }
    [Column("BRANCH_NUMBER", TypeName = "NUMBER(10,0)", Order = 18)]
    public long? BranchNumber { get; set; }
    [Column("ACTION_NUMBER", TypeName = "NUMBER(10,0)", Order = 19)]
    public long? ActionNumber { get; set; }
    [Column("CLUB_PARTICIPATION_COUNT", TypeName = "NUMBER(10,0)", Order = 20)]
    public long? ClubParticipationCount { get; set; }
    [Column("AGENCY_CONTRACT_DATE", TypeName = "DATE", Order = 21)]
    public DateTime? AgencyContractDate { get; set; }
    [StringLength(200)]
    [Column("KEP_ADDRESS", TypeName = "VARCHAR2(200)", Order = 22)]
    public string KepAddress { get; set; }
}

要打印NULLABLE属性,请使用此命令。 它对Alex Aza的CASE语句块脚本进行了轻微修改。

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

select @result = @result + '
    public ' + ColumnType + ' ' + ColumnName + ' { get; set; }
'
from
(
    select 
        replace(col.name, ' ', '_') ColumnName,
        column_id,
        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 AS [ColumnType]
    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 column_id

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();