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

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

其他回答

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。

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; $ $;

我喜欢用私有本地成员和公共访问器/突变器来设置我的类。 因此,我修改了上面的Alex脚本,以便为任何感兴趣的人做到这一点。

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

SET @result = @result + 
'
    public ' + @TableName + '()
    {}
';

select @result = @result + '
    private ' + ColumnType + ' ' + ' m_' + stuff(replace(ColumnName, '_', ''), 1, 1, lower(left(ColumnName, 1))) + ';'
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 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 + '
'

select @result = @result + '
    public ' + ColumnType + ' ' + ColumnName + ' { get { return m_' + stuff(replace(ColumnName, '_', ''), 1, 1, lower(left(ColumnName, 1))) + ';} set {m_' + stuff(replace(ColumnName, '_', ''), 1, 1, lower(left(ColumnName, 1))) + ' = value;} }' 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 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

有点晚了,但我已经创建了一个web工具来帮助创建一个c#(或其他)对象从SQL结果,SQL表和SQL SP。

sql2object.com

这可以让你安全地输入所有的属性和类型。

如果无法识别类型,则将选择默认类型。