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如何找到违反约束的列?

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我有一个强类型数据集,它会为空值抛出此错误,

System.Data.ConstraintException:无法启用约束 . 一行或多行包含违反非null,唯一或外键约束的值 . 在System.Data.DataTable.EnableConstraints()处于System.Data.Com.EndLoadData()处于System.Data.Common.DataAdapter.FillFromReader(DataSet数据集,DataTable数据表,字符串srcTable,DataReaderContainer数据读取器,Int32 startRecord,Int32 maxRecords,DataColumn)在System.Data.Common.DbDataAdapter.FillInternal(DataSet数据集,DataTable [] datatables,Int32的System.Data.Common.DataAdapter.Fill(DataTable [] dataTables,IDataReader dataReader,Int32 startRecord,Int32 maxRecords)处的parentChapterColumn,Object parentChapterValue) System.Data.Common.DbDataAdapter上的System.Data.Common.DbDataAdapter.Fill(DataTable [] dataTables,Int32 startRecord,Int32 maxRecords,IDbCommand命令,CommandBehavior行为)中的startRecord,Int32 maxRecords,String srcTable,IDbCommand命令,CommandBehavior行为)在Fruits.DataAccess.FruitsDataAccess.GetFruits(String User)上的Fruits.DataAccess.FruitsTableAdapters.FruitsExtTableAdapter.GetFruits(字符串用户,字符串过滤器)中填写(DataTable dataTable) ,String过滤器)在Fruits.WebServices.External.Fruity.GetFruits(String Filter)

所有列都填充了1行我正在测试它,

USE [FruitDataBase]
GO

SET ANSI_NULLS ON
GO

SET QUOTED_IDENTIFIER ON
GO

CREATE TABLE [dbo].[Fruits](
    [ID] [int] NOT NULL,
    [CategoryID] [int] NOT NULL,
    [Title] [nvarchar](255) NOT NULL,
    [URL] [nvarchar](255) NOT NULL,
    [Status] [nvarchar](70) NOT NULL,
    [Description] [nvarchar](1024) NULL,
    [User1] [nvarchar](50) NOT NULL,
    [Date] [datetime] NOT NULL,
    [User2] [nvarchar](50) NULL,
    [Date2] [datetime] NULL,
    [Impact] [nvarchar](255) NULL,
    [Solution] [nvarchar](1024) NULL,
 CONSTRAINT [PK_Fruits] PRIMARY KEY CLUSTERED 
(
    [ID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]

GO

ALTER TABLE [dbo].[Fruits]  WITH CHECK ADD  CONSTRAINT [FK_Fruits_Categories] FOREIGN KEY([CategoryID])
REFERENCES [dbo].[Categories] ([ID])
GO

ALTER TABLE [dbo].[Fruits] CHECK CONSTRAINT [FK_Fruits_Categories]
GO

3 回答

  • 1

    您可以在代码中使用此方法 . .NET检查数据集,从而抛出异常 .

    public void CheckDataSet(DataSet dataSet)
           {                                                              
            Assembly assembly = Assembly.LoadFrom(@"C:\Program Files (x86)\Reference Assemblies\Microsoft\Framework\.NETFramework\v4.0\System.Data.dll");
            Type type = assembly.GetType("System.Data.ConstraintEnumerator");
            ConstructorInfo ctor = type.GetConstructor(new[] { typeof(DataSet) });
            object instance = ctor.Invoke(new object[] { dataSet });                
            BindingFlags bf = BindingFlags.Instance | BindingFlags.Public;
            MethodInfo m_GetNext = type.GetMethod("GetNext", bf);
    
            while ((bool)m_GetNext.Invoke(instance, null))
            {
                bool flag = false;
                MethodInfo m_GetConstraint = type.GetMethod("GetConstraint", bf);                    
                Constraint constraint = (Constraint) m_GetConstraint.Invoke(instance, null);
                Type constraintType = constraint.GetType();
                BindingFlags bfInternal = BindingFlags.Instance | BindingFlags.NonPublic;
                MethodInfo m_IsConstraintViolated = constraintType.GetMethod("IsConstraintViolated", bfInternal);                    
                flag = (bool)m_IsConstraintViolated.Invoke(constraint, null);
                if (flag)                    
                    Debug.WriteLine("Constraint violated, ConstraintName: " + constraint.ConstraintName + ", tableName: " + constraint.Table);                                            
            }
    
            foreach (DataTable table in dataSet.Tables)
            {
                foreach (DataColumn column in table.Columns)
                {
                    Type columnType = column.GetType();
                    BindingFlags bfInternal = BindingFlags.Instance | BindingFlags.NonPublic;
    
                    bool flag = false;
                    if (!column.AllowDBNull)
                    {                            
                        MethodInfo m_IsNotAllowDBNullViolated = columnType.GetMethod("IsNotAllowDBNullViolated", bfInternal);                                                        
                        flag = (bool)m_IsNotAllowDBNullViolated.Invoke(column, null);
                        if (flag)
                        {
                            Debug.WriteLine("DBnull violated  --> ColumnName: " + column.ColumnName + ", tableName: " + column.Table.TableName);
                        }
                    }
                    if (column.MaxLength >= 0)
                    {
                        MethodInfo m_IsMaxLengthViolated = columnType.GetMethod("IsMaxLengthViolated", bfInternal);                            
                        flag = (bool)m_IsMaxLengthViolated.Invoke(column, null);                            
                        if (flag)                            
                            Debug.WriteLine("MaxLength violated --> ColumnName: " + column.ColumnName + ", tableName: " + column.Table.TableName);
                    }
                }
            }                                                    
    }
    
  • 1

    DataSet / DataTable具有可获取有关错误的更多详细信息的属性 .

    所以这些细节并不像你想象的那样在异常中,这就是诀窍 . 见http://www.codeproject.com/Tips/405938/Debugging-DataSet-Constraint-Errors

    样品:

    catch (ConstraintException)
    {
        DataRow[] rowErrors = this.YourDataSet.YourDataTable.GetErrors();
    
        System.Diagnostics.Debug.WriteLine("YourDataTable Errors:" 
            + rowErrors.Length);
    
        for (int i = 0; i < rowErrors.Length; i++)
        {
            System.Diagnostics.Debug.WriteLine(rowErrors[i].RowError);
    
            foreach (DataColumn col in rowErrors[i].GetColumnsInError())
            {
                System.Diagnostics.Debug.WriteLine(col.ColumnName 
                    + ":" + rowErrors[i].GetColumnError(col));
            }
        }
    }
    
  • 15

    问题在于其中一个列名称在数据集中不匹配,不确定是什么触发了它,但匹配的列名称与一个返回修复了问题 .

    我还使用了强类型数据集的“预览数据”功能,这有助于我找出问题所在 .

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