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

之前的解决方案的一个小补充: object_id(@TableName)仅在默认模式中有效。

(Select id from sysobjects where name = @TableName)

只要@tableName是唯一的,就可以在任何模式中工作。

其他回答

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();

为了感谢Alex的解决方案和Guilherme的要求,我为MySQL生成c#类做了这个

set @schema := 'schema_name';
set @table := 'table_name';
SET group_concat_max_len = 2048;
SELECT 
    concat('public class ', @table, '\n{\n', GROUP_CONCAT(a.property_ SEPARATOR '\n'), '\n}') class_
FROM 
    (select
        CONCAT(
        '\tpublic ',
        case 
            when DATA_TYPE = 'bigint' then 'long'
            when DATA_TYPE = 'BINARY' then 'byte[]'
            when DATA_TYPE = 'bit' then 'bool'
            when DATA_TYPE = 'char' then 'string'
            when DATA_TYPE = 'date' then 'DateTime'
            when DATA_TYPE = 'datetime' then 'DateTime'
            when DATA_TYPE = 'datetime2' then 'DateTime'
            when DATA_TYPE = 'datetimeoffset' then 'DateTimeOffset'
            when DATA_TYPE = 'decimal' then 'decimal'
            when DATA_TYPE = 'double' then 'double'
            when DATA_TYPE = 'float' then 'float'
            when DATA_TYPE = 'image' then 'byte[]'
            when DATA_TYPE = 'int' then 'int'
            when DATA_TYPE = 'money' then 'decimal'
            when DATA_TYPE = 'nchar' then 'char'
            when DATA_TYPE = 'ntext' then 'string'
            when DATA_TYPE = 'numeric' then 'decimal'
            when DATA_TYPE = 'nvarchar' then 'string'
            when DATA_TYPE = 'real' then 'double'
            when DATA_TYPE = 'smalldatetime' then 'DateTime'
            when DATA_TYPE = 'smallint' then 'short'
            when DATA_TYPE = 'smallmoney' then 'decimal'
            when DATA_TYPE = 'text' then 'string'
            when DATA_TYPE = 'time' then 'TimeSpan'
            when DATA_TYPE = 'timestamp' then 'DateTime'
            when DATA_TYPE = 'tinyint' then 'byte'
            when DATA_TYPE = 'uniqueidentifier' then 'Guid'
            when DATA_TYPE = 'varbinary' then 'byte[]'
            when DATA_TYPE = 'varchar' then 'string'
            else '_UNKNOWN_'
        end, ' ', 
        COLUMN_NAME, ' {get; set;}') as property_
    FROM INFORMATION_SCHEMA.COLUMNS
    WHERE table_name = @table AND table_schema = @schema) a
;

谢谢Alex和Guilherme!

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; }
}

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!

是的,这些是伟大的,如果你使用一个简单的ORM像Dapper。

如果你使用。net,你可以在运行时使用WriteXmlSchema方法用任何数据集生成XSD文件。http://msdn.microsoft.com/en-us/library/xt7k72x8 (v = vs.110) . aspx

是这样的:

using (SqlConnection cnn = new SqlConnection(mConnStr)) {
DataSet Data = new DataSet();
cnn.Open();
string sql = "SELECT * FROM Person";

using (SqlDataAdapter Da = new SqlDataAdapter(sql, cnn))
{
try
{
    Da.Fill(Data);
    Da.TableMappings.Add("Table", "Person");
    Data.WriteXmlSchema(@"C:\Person.xsd");
}
catch (Exception ex)
{ MessageBox.Show(ex.Message); }
}
cnn.Close();

从那里,您可以使用xsd.exe创建一个可从开发人员命令提示符序列化XML的类。 http://msdn.microsoft.com/en-us/library/x6c1kb0s (v = vs.110) . aspx

是这样的:

xsd C:\Person.xsd /classes /language:CS