我如何检查看看一个列是否存在于一个SqlDataReader对象?在我的数据访问层,我创建了一个为多个存储过程调用构建相同对象的方法。其中一个存储过程具有其他存储过程不使用的附加列。我想修改方法以适应各种情况。
我的应用程序是用c#编写的。
我如何检查看看一个列是否存在于一个SqlDataReader对象?在我的数据访问层,我创建了一个为多个存储过程调用构建相同对象的方法。其中一个存储过程具有其他存储过程不使用的附加列。我想修改方法以适应各种情况。
我的应用程序是用c#编写的。
当前回答
这是一个相当老的帖子,但我想提供我的意见。
大多数提议的解决方案的挑战在于,它要求您每次都为检查的每一行和每一列枚举所有字段。
其他的则使用GetSchemaTable方法,该方法不受全局支持。
就我个人而言,我对抛出和捕获异常以检查字段是否存在没有问题。事实上,我认为从编程的角度来看,这可能是最直接的解决方案,也是最容易调试和创建扩展的解决方案。我注意到吞咽异常不会对性能造成负面影响,除非涉及到其他事务或奇怪的回滚逻辑。
使用try-catch块实现
using System;
using System.Collections.Generic;
using System.Data.SqlClient;
public class MyModel {
public int ID { get; set; }
public int UnknownColumn { get; set; }
}
public IEnumerable<MyModel> ReadData(SqlCommand command) {
using (SqlDataReader reader = command.ExecuteReader()) {
try {
while (reader.Read()) {
// init the row
MyModel row = new MyModel();
// bind the fields
row.ID = reader.IfDBNull("ID", row.ID);
row.UnknownColumn = reader.IfDBNull("UnknownColumn", row.UnknownColumn);
// return the row and move forward
yield return row;
}
} finally {
// technically the disposer should handle this for you
if (!reader.IsClosed) reader.Close();
}
}
}
// I use a variant of this class everywhere I go to help simplify data binding
public static class IDataReaderExtensions {
// clearly separate name to ensure I don't accidentally use the wrong method
public static T IfDBNull<T>(this IDataReader reader, string name, T defaultValue) {
T value;
try {
// attempt to read the value
// will throw IndexOutOfRangeException if not available
object objValue = reader[name];
// the value returned from SQL is NULL
if (Convert.IsDBNull(objValue)) {
// use the default value
objValue = defaultValue;
}
else if (typeof(T) == typeof(char)) {
// chars are returned from SQL as strings
string strValue = Convert.ToString(objValue);
if (strValue.Length > 0) objValue = strValue[0];
else objValue = defaultValue;
}
value = (T)objValue;
} catch (IndexOutOfRangeException) {
// field does not exist
value = @defaultValue;
} catch (InvalidCastException, ex) {
// The type we are attempting to bind to is not the same as the type returned from the database
// Personally, I want to know the field name that has the problem
throw new InvalidCastException(name, ex);
}
return value;
}
// clearly separate name to ensure I don't accidentally use the wrong method
// just overloads the other method so I don't need to pass in a default
public static T IfDBNull<T>(this IDataReader reader, string name) {
return IfDBNull<T>(reader, name, default(T));
}
}
如果您想避免异常处理,我建议在初始化阅读器时将结果保存到HashSet<string>中,然后再检查它以查找所需的列。或者,为了进行微优化,您可以将列实现为Dictionary<string, int>,以防止SqlDataReader对象从Name到ordinal的重复解析。
使用HashSet<string>实现
using System;
using System.Collections.Generic;
using System.Data.SqlClient;
public class MyModel {
public int ID { get; set; }
public int UnknownColumn { get; set; }
}
public IEnumerable<MyModel> ReadData(SqlCommand command) {
using (SqlDataReader reader = command.ExecuteReader()) {
try {
// first read
if (reader.Read()) {
// use whatever *IgnoreCase comparer that you're comfortable with
HashSet<string> columns = new HashSet<string>(StringComparer.OrdinalIgnoreCase);
// init the columns HashSet<string, int>
for (int i = 0; i < reader.FieldCount; i++) {
string fieldName = reader.GetName(i);
columns.Add(fieldName);
}
// implemented as a do/while since we already read the first row
do {
// init a new instance of your class
MyModel row = new MyModel();
// check if column exists
if (columns.Contains("ID") &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader["ID"])) {
// bind value
row.ID = (int)reader["ID"];
}
// check if column exists
if (columns.Contains("UnknownColumn") &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader["UnknownColumn"])) {
// bind value
row.UnknownColumn = (int)reader["UnknownColumn"];
}
// return the row and move forward
yield return row;
} while (reader.Read());
}
} finally {
// technically the disposer should handle this for you
if (!reader.IsClosed) reader.Close();
}
}
}
使用Dictionary<string, int>实现
using System;
using System.Collections.Generic;
using System.Data.SqlClient;
public class MyModel {
public int ID { get; set; }
public int UnknownColumn { get; set; }
}
public IEnumerable<MyModel> ReadData(SqlCommand command) {
using (SqlDataReader reader = command.ExecuteReader()) {
try {
// first read
if (reader.Read()) {
// use whatever *IgnoreCase comparer that you're comfortable with
Dictionary<string, int> columns = new Dictionary<string, int>(StringComparer.OrdinalIgnoreCase);
// init the columns Dictionary<string, int>
for (int i = 0; i < reader.FieldCount; i++) {
string fieldName = reader.GetName(i);
columns[fieldName] = i;
}
// implemented as a do/while since we already read the first row
do {
// init a new instance of your class
MyModel row = new MyModel();
// stores the resolved ordinal from your dictionary
int ordinal;
// check if column exists
if (columns.TryGetValue("ID", out ordinal) &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader[ordinal])) {
// bind value
row.ID = (int)reader[ordinal];
}
// check if column exists
if (columns.TryGetValue("UnknownColumn", out ordinal) &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader[ordinal])) {
// bind value
row.UnknownColumn = (int)reader[ordinal];
}
// return the row and move forward
yield return row;
} while (reader.Read());
}
} finally {
// technically the disposer should handle this for you
if (!reader.IsClosed) reader.Close();
}
}
}
其他回答
这是一个相当老的帖子,但我想提供我的意见。
大多数提议的解决方案的挑战在于,它要求您每次都为检查的每一行和每一列枚举所有字段。
其他的则使用GetSchemaTable方法,该方法不受全局支持。
就我个人而言,我对抛出和捕获异常以检查字段是否存在没有问题。事实上,我认为从编程的角度来看,这可能是最直接的解决方案,也是最容易调试和创建扩展的解决方案。我注意到吞咽异常不会对性能造成负面影响,除非涉及到其他事务或奇怪的回滚逻辑。
使用try-catch块实现
using System;
using System.Collections.Generic;
using System.Data.SqlClient;
public class MyModel {
public int ID { get; set; }
public int UnknownColumn { get; set; }
}
public IEnumerable<MyModel> ReadData(SqlCommand command) {
using (SqlDataReader reader = command.ExecuteReader()) {
try {
while (reader.Read()) {
// init the row
MyModel row = new MyModel();
// bind the fields
row.ID = reader.IfDBNull("ID", row.ID);
row.UnknownColumn = reader.IfDBNull("UnknownColumn", row.UnknownColumn);
// return the row and move forward
yield return row;
}
} finally {
// technically the disposer should handle this for you
if (!reader.IsClosed) reader.Close();
}
}
}
// I use a variant of this class everywhere I go to help simplify data binding
public static class IDataReaderExtensions {
// clearly separate name to ensure I don't accidentally use the wrong method
public static T IfDBNull<T>(this IDataReader reader, string name, T defaultValue) {
T value;
try {
// attempt to read the value
// will throw IndexOutOfRangeException if not available
object objValue = reader[name];
// the value returned from SQL is NULL
if (Convert.IsDBNull(objValue)) {
// use the default value
objValue = defaultValue;
}
else if (typeof(T) == typeof(char)) {
// chars are returned from SQL as strings
string strValue = Convert.ToString(objValue);
if (strValue.Length > 0) objValue = strValue[0];
else objValue = defaultValue;
}
value = (T)objValue;
} catch (IndexOutOfRangeException) {
// field does not exist
value = @defaultValue;
} catch (InvalidCastException, ex) {
// The type we are attempting to bind to is not the same as the type returned from the database
// Personally, I want to know the field name that has the problem
throw new InvalidCastException(name, ex);
}
return value;
}
// clearly separate name to ensure I don't accidentally use the wrong method
// just overloads the other method so I don't need to pass in a default
public static T IfDBNull<T>(this IDataReader reader, string name) {
return IfDBNull<T>(reader, name, default(T));
}
}
如果您想避免异常处理,我建议在初始化阅读器时将结果保存到HashSet<string>中,然后再检查它以查找所需的列。或者,为了进行微优化,您可以将列实现为Dictionary<string, int>,以防止SqlDataReader对象从Name到ordinal的重复解析。
使用HashSet<string>实现
using System;
using System.Collections.Generic;
using System.Data.SqlClient;
public class MyModel {
public int ID { get; set; }
public int UnknownColumn { get; set; }
}
public IEnumerable<MyModel> ReadData(SqlCommand command) {
using (SqlDataReader reader = command.ExecuteReader()) {
try {
// first read
if (reader.Read()) {
// use whatever *IgnoreCase comparer that you're comfortable with
HashSet<string> columns = new HashSet<string>(StringComparer.OrdinalIgnoreCase);
// init the columns HashSet<string, int>
for (int i = 0; i < reader.FieldCount; i++) {
string fieldName = reader.GetName(i);
columns.Add(fieldName);
}
// implemented as a do/while since we already read the first row
do {
// init a new instance of your class
MyModel row = new MyModel();
// check if column exists
if (columns.Contains("ID") &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader["ID"])) {
// bind value
row.ID = (int)reader["ID"];
}
// check if column exists
if (columns.Contains("UnknownColumn") &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader["UnknownColumn"])) {
// bind value
row.UnknownColumn = (int)reader["UnknownColumn"];
}
// return the row and move forward
yield return row;
} while (reader.Read());
}
} finally {
// technically the disposer should handle this for you
if (!reader.IsClosed) reader.Close();
}
}
}
使用Dictionary<string, int>实现
using System;
using System.Collections.Generic;
using System.Data.SqlClient;
public class MyModel {
public int ID { get; set; }
public int UnknownColumn { get; set; }
}
public IEnumerable<MyModel> ReadData(SqlCommand command) {
using (SqlDataReader reader = command.ExecuteReader()) {
try {
// first read
if (reader.Read()) {
// use whatever *IgnoreCase comparer that you're comfortable with
Dictionary<string, int> columns = new Dictionary<string, int>(StringComparer.OrdinalIgnoreCase);
// init the columns Dictionary<string, int>
for (int i = 0; i < reader.FieldCount; i++) {
string fieldName = reader.GetName(i);
columns[fieldName] = i;
}
// implemented as a do/while since we already read the first row
do {
// init a new instance of your class
MyModel row = new MyModel();
// stores the resolved ordinal from your dictionary
int ordinal;
// check if column exists
if (columns.TryGetValue("ID", out ordinal) &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader[ordinal])) {
// bind value
row.ID = (int)reader[ordinal];
}
// check if column exists
if (columns.TryGetValue("UnknownColumn", out ordinal) &&
// ensure the value is not DBNull
!Convert.IsDBNull(reader[ordinal])) {
// bind value
row.UnknownColumn = (int)reader[ordinal];
}
// return the row and move forward
yield return row;
} while (reader.Read());
}
} finally {
// technically the disposer should handle this for you
if (!reader.IsClosed) reader.Close();
}
}
}
下面的方法很简单,对我来说很有效:
bool hasMyColumn = (reader.GetSchemaTable().Select("ColumnName = 'MyColumnName'").Count() == 1);
为了保持你的代码健壮和干净,使用一个扩展函数,像这样:
Public Module Extensions
<Extension()>
Public Function HasColumn(r As SqlDataReader, columnName As String) As Boolean
Return If(String.IsNullOrEmpty(columnName) OrElse r.FieldCount = 0, False, Enumerable.Range(0, r.FieldCount).Select(Function(i) r.GetName(i)).Contains(columnName, StringComparer.OrdinalIgnoreCase))
End Function
End Module
public static class DataRecordExtensions
{
public static bool HasColumn(this IDataRecord dr, string columnName)
{
for (int i=0; i < dr.FieldCount; i++)
{
if (dr.GetName(i).Equals(columnName, StringComparison.InvariantCultureIgnoreCase))
return true;
}
return false;
}
}
在控制逻辑中使用异常被认为是不好的做法,并且会带来性能损失。它还会将抛出的# exceptions错误消息发送给分析器,并帮助任何人设置调试器在抛出异常时中断。
GetSchemaTable()也是许多答案中的另一个建议。这不是检查字段是否存在的首选方法,因为它不是在所有版本中都实现的(它是抽象的,并且在dotnetcore的某些版本中抛出NotSupportedException)。GetSchemaTable在性能方面也是过度消耗的,因为如果您查看源代码,它是一个相当繁重的函数。
如果您经常使用循环遍历字段,则可能会对性能造成较小的影响,您可能需要考虑缓存结果。
这对我来说很管用:
bool hasColumnName = reader.GetSchemaTable().AsEnumerable().Any(c => c["ColumnName"] == "YOUR_COLUMN_NAME");