我的属性绑定数据访问类遇到了一个小问题(更像是一个烦恼)。问题是,当读取器中不存在类中相应属性的列时,映射会失败。
法典
下面是映射器类:
// Map our datareader object to a strongly typed list
private static IList<T> Map<T>(DbDataReader dr) where T : new()
{
try
{
// initialize our returnable list
List<T> list = new List<T>();
// fire up the lamda mapping
var converter = new Converter<T>();
while (dr.Read())
{
// read in each row, and properly map it to our T object
var obj = converter.CreateItemFromRow(dr);
// add it to our list
list.Add(obj);
}
// reutrn it
return list;
}
catch (Exception ex)
{
return default(List<T>);
}
}
转换器类别:
/// <summary>
/// Converter class to convert returned Sql Records to strongly typed classes
/// </summary>
/// <typeparam name="T">Type of the object we'll convert too</typeparam>
internal class Converter<T> where T : new()
{
// Concurrent Dictionay objects
private static ConcurrentDictionary<Type, object> _convertActionMap = new ConcurrentDictionary<Type, object>();
// Delegate action declaration
private Action<IDataReader, T> _convertAction;
// Build our mapping based on the properties in the class/type we've passed in to the class
private static Action<IDataReader, T> GetMapFunc()
{
var exps = new List<Expression>();
var paramExp = Expression.Parameter(typeof(IDataReader), "o7thDR");
var targetExp = Expression.Parameter(typeof(T), "o7thTarget");
var getPropInfo = typeof(IDataRecord).GetProperty("Item", new[] { typeof(string) });
var _props = typeof(T).GetProperties();
foreach (var property in _props)
{
var getPropExp = Expression.MakeIndex(paramExp, getPropInfo, new[] { Expression.Constant(property.Name, typeof(string)) });
var castExp = Expression.TypeAs(getPropExp, property.PropertyType);
var bindExp = Expression.Assign(Expression.Property(targetExp, property), castExp);
exps.Add(bindExp);
}
// return our compiled mapping, this will ensure it is cached to use through our record looping
return Expression.Lambda<Action<IDataReader, T>>(Expression.Block(exps), new[] { paramExp, targetExp }).Compile();
}
internal Converter()
{
// Fire off our mapping functionality
_convertAction = (Action<IDataReader, T>)_convertActionMap.GetOrAdd(typeof(T), (t) => GetMapFunc());
}
internal T CreateItemFromRow(IDataReader dataReader)
{
T result = new T();
_convertAction(dataReader, result);
return result;
}
}
例外
System.IndexOutOfRangeException {"Mileage"}
堆栈跟踪
at System.Data.ProviderBase.FieldNameLookup.GetOrdinal(String fieldName)
at System.Data.SqlClient.SqlDataReader.GetOrdinal(String name)
at System.Data.SqlClient.SqlDataReader.get_Item(String name)
at lambda_method(Closure , IDataReader , Typing )
at o7th.Class.Library.Data.Converter`1.CreateItemFromRow(IDataReader dataReader) in d:Backup FolderDevelopmento7th Web Designo7th.Class.Library.C-Sharpo7th.Class.LibraryData Access ObjectConverter.cs:line 50
at o7th.Class.Library.Data.Wrapper.Map[T](DbDataReader dr) in d:Backup FolderDevelopmento7th Web Designo7th.Class.Library.C-Sharpo7th.Class.LibraryData Access ObjectWrapper.cs:line 33
问题
我该如何修复它,以便当我有一个额外的属性时它不会失败,读者可能没有作为列,反之亦然?当然,快速创可贴是简单地将NULL As Mileage
添加到示例中的查询中,但是,这不是解决问题的方法:)
以下是使用反射Map<T>
:
// Map our datareader object to a strongly typed list
private static IList<T> Map<T>(DbDataReader dr) where T : new()
{
try
{
// initialize our returnable list
List<T> list = new List<T>();
T item = new T();
PropertyInfo[] properties = (item.GetType()).GetProperties();
while (dr.Read()) {
int fc = dr.FieldCount;
for (int j = 0; j < fc; ++j) {
var pn = properties[j].Name;
var gn = dr.GetName(j);
if (gn == pn) {
properties[j].SetValue(item, dr[j], null);
}
}
list.Add(item);
}
// return it
return list;
}
catch (Exception ex)
{
// Catch an exception if any, an write it out to our logging mechanism, in addition to adding it our returnable message property
_Msg += "Wrapper.Map Exception: " + ex.Message;
ErrorReporting.WriteEm.WriteItem(ex, "o7th.Class.Library.Data.Wrapper.Map", _Msg);
// make sure this method returns a default List
return default(List<T>);
}
}
注意:此方法比使用表达式树慢 63%...
如注释中所述,问题是读取器中不存在指定属性的列。这个想法是首先循环读取器的列名,然后检查是否存在匹配的属性。但是如何事先获取列名列表呢?
-
一个想法是使用表达式树本身从读取器构建列名列表,并根据类的属性对其进行检查。 像这样的东西
var paramExp = Expression.Parameter(typeof(IDataRecord), "o7thDR"); var loopIncrementVariableExp = Expression.Parameter(typeof(int), "i"); var columnNamesExp = Expression.Parameter(typeof(List<string>), "columnNames"); var columnCountExp = Expression.Property(paramExp, "FieldCount"); var getColumnNameExp = Expression.Call(paramExp, "GetName", Type.EmptyTypes, Expression.PostIncrementAssign(loopIncrementVariableExp)); var addToListExp = Expression.Call(columnNamesExp, "Add", Type.EmptyTypes, getColumnNameExp); var labelExp = Expression.Label(columnNamesExp.Type); var getColumnNamesExp = Expression.Block( new[] { loopIncrementVariableExp, columnNamesExp }, Expression.Assign(columnNamesExp, Expression.New(columnNamesExp.Type)), Expression.Loop( Expression.IfThenElse( Expression.LessThan(loopIncrementVariableExp, columnCountExp), addToListExp, Expression.Break(labelExp, columnNamesExp)), labelExp));
将相当于
List<string> columnNames = new List<string>(); for (int i = 0; i < reader.FieldCount; i++) { columnNames.Add(reader.GetName(i)); }
人们可以继续最后的表达,但这里有一个问题,使沿着这条线的任何进一步努力都是徒劳的。每次调用最后一个委托时,上面的表达式树都会获取列名,在您的情况下,这是针对每个对象创建的,这违背了您的要求的精神。
-
另一种方法是让转换器类通过属性(参见示例)或维护静态字典(如
Dictionary<Type, IEnumerable<string>>
)来预定义给定类型的列名。虽然它提供了更大的灵活性,但另一方面是您的查询不需要总是包含表的所有列名,任何reader[notInTheQueryButOnlyInTheTableColumn]
都会导致异常。 -
我看到的最佳方法是从读取器对象中获取列名,但只能获取一次。我会重写这样的东西:
private static List<string> columnNames; private static Action<IDataReader, T> GetMapFunc() { var exps = new List<Expression>(); var paramExp = Expression.Parameter(typeof(IDataRecord), "o7thDR"); var targetExp = Expression.Parameter(typeof(T), "o7thTarget"); var getPropInfo = typeof(IDataRecord).GetProperty("Item", new[] { typeof(string) }); foreach (var columnName in columnNames) { var property = typeof(T).GetProperty(columnName); if (property == null) continue; // use 'columnName' instead of 'property.Name' to speed up reader lookups //in case of certain readers. var columnNameExp = Expression.Constant(columnName); var getPropExp = Expression.MakeIndex( paramExp, getPropInfo, new[] { columnNameExp }); var castExp = Expression.TypeAs(getPropExp, property.PropertyType); var bindExp = Expression.Assign( Expression.Property(targetExp, property), castExp); exps.Add(bindExp); } return Expression.Lambda<Action<IDataReader, T>>( Expression.Block(exps), paramExp, targetExp).Compile(); } internal T CreateItemFromRow(IDataReader dataReader) { if (columnNames == null) { columnNames = Enumerable.Range(0, dataReader.FieldCount) .Select(x => dataReader.GetName(x)) .ToList(); _convertAction = (Action<IDataReader, T>)_convertActionMap.GetOrAdd( typeof(T), (t) => GetMapFunc()); } T result = new T(); _convertAction(dataReader, result); return result; }
现在这就引出了一个问题,为什么不将数据读取器直接传递给构造函数?那会更好。
private IDataReader dataReader; private Action<IDataReader, T> GetMapFunc() { var exps = new List<Expression>(); var paramExp = Expression.Parameter(typeof(IDataRecord), "o7thDR"); var targetExp = Expression.Parameter(typeof(T), "o7thTarget"); var getPropInfo = typeof(IDataRecord).GetProperty("Item", new[] { typeof(string) }); var columnNames = Enumerable.Range(0, dataReader.FieldCount) .Select(x => dataReader.GetName(x)); foreach (var columnName in columnNames) { var property = typeof(T).GetProperty(columnName); if (property == null) continue; // use 'columnName' instead of 'property.Name' to speed up reader lookups //in case of certain readers. var columnNameExp = Expression.Constant(columnName); var getPropExp = Expression.MakeIndex( paramExp, getPropInfo, new[] { columnNameExp }); var castExp = Expression.TypeAs(getPropExp, property.PropertyType); var bindExp = Expression.Assign( Expression.Property(targetExp, property), castExp); exps.Add(bindExp); } return Expression.Lambda<Action<IDataReader, T>>( Expression.Block(exps), paramExp, targetExp).Compile(); } internal Converter(IDataReader dataReader) { this.dataReader = dataReader; _convertAction = (Action<IDataReader, T>)_convertActionMap.GetOrAdd( typeof(T), (t) => GetMapFunc()); } internal T CreateItemFromRow() { T result = new T(); _convertAction(dataReader, result); return result; }
称呼它为喜欢
List<T> list = new List<T>(); var converter = new Converter<T>(dr); while (dr.Read()) { var obj = converter.CreateItemFromRow(); list.Add(obj); }
不过,我可以建议一些改进。
-
您调用的通用
new T()
CreateItemFromRow
较慢,它在幕后使用反射。您也可以将该部分委托给表达式树,这应该更快 -
现在
GetProperty
调用不区分大小写,这意味着列名必须与属性名完全匹配。我会使用其中一种Bindings.Flag
使其不区分大小写。 -
我完全不确定您为什么在这里使用
ConcurrentDictionary
作为缓存机制。泛型类中的静态字段<T>
对于每个T
都是唯一的。泛型字段本身可以充当缓存。另外,为什么Value
是object
型ConcurrentDictionary
的一部分? -
正如我之前所说,将类型和列名强绑定并不是最好的(这是通过为每个类型缓存一个特定的
Action
委托来实现的)。即使对于相同的类型,您的查询也可以选择不同的列集。最好留给数据读取器来决定。 -
使用
Expression.Convert
而不是Expression.TypeAs
从object
进行值类型转换。 -
另请注意,阅读器。GetOrdinal 是执行数据读取器查找的更快方法。
我会像这样重写整个事情:
readonly Func<IDataReader, T> _converter;
readonly IDataReader dataReader;
private Func<IDataReader, T> GetMapFunc()
{
var exps = new List<Expression>();
var paramExp = Expression.Parameter(typeof(IDataRecord), "o7thDR");
var targetExp = Expression.Variable(typeof(T));
exps.Add(Expression.Assign(targetExp, Expression.New(targetExp.Type)));
//does int based lookup
var indexerInfo = typeof(IDataRecord).GetProperty("Item", new[] { typeof(int) });
var columnNames = Enumerable.Range(0, dataReader.FieldCount)
.Select(i => new { i, name = dataReader.GetName(i) });
foreach (var column in columnNames)
{
var property = targetExp.Type.GetProperty(
column.name,
BindingFlags.Public | BindingFlags.Instance | BindingFlags.IgnoreCase);
if (property == null)
continue;
var columnNameExp = Expression.Constant(column.i);
var propertyExp = Expression.MakeIndex(
paramExp, indexerInfo, new[] { columnNameExp });
var convertExp = Expression.Convert(propertyExp, property.PropertyType);
var bindExp = Expression.Assign(
Expression.Property(targetExp, property), convertExp);
exps.Add(bindExp);
}
exps.Add(targetExp);
return Expression.Lambda<Func<IDataReader, T>>(
Expression.Block(new[] { targetExp }, exps), paramExp).Compile();
}
internal Converter(IDataReader dataReader)
{
this.dataReader = dataReader;
_converter = GetMapFunc();
}
internal T CreateItemFromRow()
{
return _converter(dataReader);
}