SqlBulkCopy 运行 WriteToServer(DataTable) 时抛出 System.FormatException

发布于 2024-10-02 05:44:10 字数 2993 浏览 1 评论 0原文

目前我正在编写一种从 CSV 文件读取数据并导入到 SQL 表的方法。

        DataTable dt = new DataTable();
        String line = null;
        int i = 0;

        while ((line = reader.ReadLine()) != null)
        {
            String[] data = line.Split(',');
            if (data.Length > 0)
            {
                if (i == 0)
                {
                    foreach (object item in data)
                    {
                        DataColumn c = new DataColumn(Convert.ToString(item));
                        if (Convert.ToString(item).Contains("DATE"))
                        {
                            c.DataType = System.Type.GetType("System.DateTime");
                        }
                        else { c.DataType = System.Type.GetType("System.String"); }
                        dt.Columns.Add(c);
                    }
                    i++;
                }
                else
                {
                    DataRow row = dt.NewRow();
                    for (int j = 0; j < data.Length; j++)
                    {
                        if (dt.Columns[j].DataType == System.Type.GetType("System.DateTime"))
                        {
                            row[j] = Convert.ToDateTime(data[j]);
                        }
                        else
                        {
                            row[j] = data[j];
                        }
                    }
                    dt.Rows.Add(row);
                }
            }
        }
        SqlConnection con = new SqlConnection(ConfigurationManager.ConnectionStrings[Constant.CONNECTION_STRING_NAME].ConnectionString);
        SqlBulkCopy s = new SqlBulkCopy(con);
        s.DestinationTableName = "abc";
        con.Open();
        s.WriteToServer(dt);

运行该方法时出现的问题是,s.WriteToServer(dt);总是抛出异常。说

System.FormatException:该字符串未被识别为有效的日期时间。从索引 0 开始有一个未知单词。

我调试并看到所有数据都已正确加载到 DataTable 中。 中的数据行示例:

DATA_VENDOR_ID,DATA_VENDOR_SUB_ID,DATA_VENDOR_CLIENT_ID,DATA_VENDOR_ACTIVITY_CODE,ACTIVITY_NAME,EFFECTIVE_DATE,ACTIVITY_LEVEL1,ACTIVITY_LEVEL2,ACTIVITY_LEVEL3,ACTIVITY_LEVEL4,ACTIVITY_LEVEL5,PARTICIPANT_ID,DATA_VENDOR_ALT_ID,FILE_CREATION_DATE,INC_VALUE    
V01,,22097,ABCD01,Physical Activity,10/01/2010,Entertain Kiosk,ABCD - EFG 54,30,,AB01,W1234567891,,08/07/2006,100

以下是 CSV 文件和 SQL 表架构

RowID   int Unique/AutoIncrement
DataVendorId    varchar(32) 
DataVendorSubId varchar(32) 
DataVendorClientId  varchar(32) 
DataVendorActivityCode  varchar(32) 
ActivityName    varchar(64) 
EffectiveDate   datetime    
ActivityLevel1  varchar(253)    
ActivityLevel2  varchar(253)    
ActivityLevel3  varchar(253)    
ActivityLevel4  varchar(253)    
ActivityLevel5  varchar(253)    
ParticipantID   varchar(32) 
DataVendorAltId varchar(32) 
FileCreationDate    datetime    
IncValue    varchar(5)  
CreatedDate datetime    optional/allow null
ModifiedDate    datetime    optional/allow null

Currently I'm writing a method to read data from a CSV file and import to a SQL table.

        DataTable dt = new DataTable();
        String line = null;
        int i = 0;

        while ((line = reader.ReadLine()) != null)
        {
            String[] data = line.Split(',');
            if (data.Length > 0)
            {
                if (i == 0)
                {
                    foreach (object item in data)
                    {
                        DataColumn c = new DataColumn(Convert.ToString(item));
                        if (Convert.ToString(item).Contains("DATE"))
                        {
                            c.DataType = System.Type.GetType("System.DateTime");
                        }
                        else { c.DataType = System.Type.GetType("System.String"); }
                        dt.Columns.Add(c);
                    }
                    i++;
                }
                else
                {
                    DataRow row = dt.NewRow();
                    for (int j = 0; j < data.Length; j++)
                    {
                        if (dt.Columns[j].DataType == System.Type.GetType("System.DateTime"))
                        {
                            row[j] = Convert.ToDateTime(data[j]);
                        }
                        else
                        {
                            row[j] = data[j];
                        }
                    }
                    dt.Rows.Add(row);
                }
            }
        }
        SqlConnection con = new SqlConnection(ConfigurationManager.ConnectionStrings[Constant.CONNECTION_STRING_NAME].ConnectionString);
        SqlBulkCopy s = new SqlBulkCopy(con);
        s.DestinationTableName = "abc";
        con.Open();
        s.WriteToServer(dt);

The problem when running this method, an Exception is always thrown at s.WriteToServer(dt); saying

System.FormatException: The string was not recognized as a valid DateTime. There is a unknown word starting at index 0.

I debugged and see all the data were loaded into DataTable correctly.
Here is an example of a data row in my CSV file

DATA_VENDOR_ID,DATA_VENDOR_SUB_ID,DATA_VENDOR_CLIENT_ID,DATA_VENDOR_ACTIVITY_CODE,ACTIVITY_NAME,EFFECTIVE_DATE,ACTIVITY_LEVEL1,ACTIVITY_LEVEL2,ACTIVITY_LEVEL3,ACTIVITY_LEVEL4,ACTIVITY_LEVEL5,PARTICIPANT_ID,DATA_VENDOR_ALT_ID,FILE_CREATION_DATE,INC_VALUE    
V01,,22097,ABCD01,Physical Activity,10/01/2010,Entertain Kiosk,ABCD - EFG 54,30,,AB01,W1234567891,,08/07/2006,100

and my SQL table schema:

RowID   int Unique/AutoIncrement
DataVendorId    varchar(32) 
DataVendorSubId varchar(32) 
DataVendorClientId  varchar(32) 
DataVendorActivityCode  varchar(32) 
ActivityName    varchar(64) 
EffectiveDate   datetime    
ActivityLevel1  varchar(253)    
ActivityLevel2  varchar(253)    
ActivityLevel3  varchar(253)    
ActivityLevel4  varchar(253)    
ActivityLevel5  varchar(253)    
ParticipantID   varchar(32) 
DataVendorAltId varchar(32) 
FileCreationDate    datetime    
IncValue    varchar(5)  
CreatedDate datetime    optional/allow null
ModifiedDate    datetime    optional/allow null

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评论(3

情绪失控 2024-10-09 05:44:10

我看到的第一个问题是您将遇到 RowID 列的问题;我预计它目前正在尝试将您的数据偏移一列 - 它不知道您忽略了它。您可以修改映射,或者(在数据表中)添加一个 RowID 列(在索引 0 处) - 但请注意,除非您启用身份插入,否则 SQL Server 将忽略这些值。

也许尝试更明确的日期时间转换:

row[j] = DateTime.ParseExact(data[j], "dd/MM/yyyy", CultureInfo.InvariantCulture);

请注意,我无法从数据中判断是 dd/MM 还是 MM/dd,因此您可能需要进行调整。

The first problem I see is that you're going to have problems with the RowID column; I expect it is trying to offset your data by one column at the moment - it doesn't know that you are omitting it. You can either mess with the mappings, or (in your data-table) add a RowID column (at index 0) - but note that SQL Server will ignore the values unless you enable identity-insert.

Perhaps try a more explicit datetime conversion:

row[j] = DateTime.ParseExact(data[j], "dd/MM/yyyy", CultureInfo.InvariantCulture);

Note that I can't tell from the data if that is dd/MM or MM/dd, so you may need to tweak that.

羁〃客ぐ 2024-10-09 05:44:10

我遇到了类似的问题,其中列关闭,一旦定义了映射,就没有问题了:

using (SqlBulkCopy sbc = new SqlBulkCopy(ConfigurationManager.ConnectionStrings["SQLDatabase"].ConnectionString, SqlBulkCopyOptions.KeepIdentity))
            {
                sbc.DestinationTableName = "DestinationTable";
                sbc.ColumnMappings.Add("foo", "bar");
                sbc.ColumnMappings.Add("hello", "world");
                sbc.ColumnMappings.Add("col1", "col2");
                sbc.WriteToServer(data);
            }

另外,我有一个列表到数据表转换器扩展,我用它来转换我的列表。

public static DataTable ToDataTable<T>(this IEnumerable<T> data)
        {
            PropertyDescriptorCollection properties =
                TypeDescriptor.GetProperties(typeof(T));
            DataTable table = new DataTable();
            foreach (PropertyDescriptor prop in properties)
                table.Columns.Add(prop.Name, Nullable.GetUnderlyingType(prop.PropertyType) ?? prop.PropertyType);
            foreach (T item in data)
            {
                DataRow row = table.NewRow();
                foreach (PropertyDescriptor prop in properties)
                    row[prop.Name] = GetDataValue(prop.GetValue(item));
                table.Rows.Add(row);
            }
            return table;
        }

GetDataValue() 方法清理 MinValue 日期等数据:

private static object GetDataValue(object value)
        {
            if (value == null || (value.GetType() == typeof(DateTime) && Convert.ToDateTime(value) == DateTime.MinValue) || (value.GetType() == typeof(DateTime) && Convert.ToDateTime(value) < Convert.ToDateTime("01/01/1753")))
            {
                return DBNull.Value;
            }

            return value;
        }

I had a similar problem where columns were off and once I defined the mapping, no problems:

using (SqlBulkCopy sbc = new SqlBulkCopy(ConfigurationManager.ConnectionStrings["SQLDatabase"].ConnectionString, SqlBulkCopyOptions.KeepIdentity))
            {
                sbc.DestinationTableName = "DestinationTable";
                sbc.ColumnMappings.Add("foo", "bar");
                sbc.ColumnMappings.Add("hello", "world");
                sbc.ColumnMappings.Add("col1", "col2");
                sbc.WriteToServer(data);
            }

Also, I've got a List to DataTable converter extension that I use to convert my List.

public static DataTable ToDataTable<T>(this IEnumerable<T> data)
        {
            PropertyDescriptorCollection properties =
                TypeDescriptor.GetProperties(typeof(T));
            DataTable table = new DataTable();
            foreach (PropertyDescriptor prop in properties)
                table.Columns.Add(prop.Name, Nullable.GetUnderlyingType(prop.PropertyType) ?? prop.PropertyType);
            foreach (T item in data)
            {
                DataRow row = table.NewRow();
                foreach (PropertyDescriptor prop in properties)
                    row[prop.Name] = GetDataValue(prop.GetValue(item));
                table.Rows.Add(row);
            }
            return table;
        }

The GetDataValue() method cleans up my data for MinValue dates, etc:

private static object GetDataValue(object value)
        {
            if (value == null || (value.GetType() == typeof(DateTime) && Convert.ToDateTime(value) == DateTime.MinValue) || (value.GetType() == typeof(DateTime) && Convert.ToDateTime(value) < Convert.ToDateTime("01/01/1753")))
            {
                return DBNull.Value;
            }

            return value;
        }
君勿笑 2024-10-09 05:44:10

数据文件中的字段与表不匹配,即您尝试将 DataVendorId 插入 RowId 列,这会导致异常,因为您无法转换 < code>varchar(32) 到 int

将您的身份列移至表格末尾。现在,批量插入将能够匹配所有字段直到到达标识列。

The fields in your data file doesn't match the table, i.e., you are trying to insert the DataVendorId into the RowId column which causes the exception as you cannot convert a varchar(32) to an int.

Move your identity column to the end of the table. Now the Bulk Insert will be able to match all the fields until it reaches the identify column.

~没有更多了~
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