我在C＃（MS VS2008）中做了一件基本的事情，对于正确设计而不是具体代码有更多疑问。
我正在创建一个数据表，然后尝试从datareader（基于SQL存储过程）加载数据表。我想知道的是，加载数据表的最有效方法是使用while语句，还是有更好的方法。
对我来说，唯一的缺点是我必须在我的while语句中手动输入我要添加的字段，但我也不知道如何自动化，因为我不希望SP中的所有字段只选择一个，但这在我看来并不是什么大不了的事。
我已经将代码片段包含在我所做的全部内容之下，但对我而言，代码本身并不显着甚至我所询问的内容。更多的想知道我的方法论，如果我的策略错误/效率低下，我会在以后修改代码帮助。
var dtWriteoffUpload = new DataTable();
dtWriteoffUpload.Columns.Add("Unit");
dtWriteoffUpload.Columns.Add("Year");
dtWriteoffUpload.Columns.Add("Period");
dtWriteoffUpload.Columns.Add("Acct");
dtWriteoffUpload.Columns.Add("Descr");
dtWriteoffUpload.Columns.Add("DEFERRAL_TYPE");
dtWriteoffUpload.Columns.Add("NDC_Indicator");
dtWriteoffUpload.Columns.Add("Mgmt Cd");
dtWriteoffUpload.Columns.Add("Prod");
dtWriteoffUpload.Columns.Add("Node");
dtWriteoffUpload.Columns.Add("Curve_Family");
dtWriteoffUpload.Columns.Add("Sum Amount");
dtWriteoffUpload.Columns.Add("Base Curr");
dtWriteoffUpload.Columns.Add("Ledger");
cmd = util.SqlConn.CreateCommand();
cmd.CommandTimeout = 1000;
cmd.CommandType = CommandType.StoredProcedure;
cmd.CommandText = "proc_writeoff_data_details";
cmd.Parameters.Add("@whoAmI", SqlDbType.VarChar).Value =
WindowsIdentity.GetCurrent().Name;
cmd.Parameters.Add("@parmEndDateKey", SqlDbType.VarChar).Value = myMostRecentActualDate;
cmd.Parameters.Add("@countrykeys", SqlDbType.VarChar).Value = myCountryKey;
cmd.Parameters.Add("@nodekeys", SqlDbType.VarChar).Value = "1,2";
break;
dr = cmd.ExecuteReader();
while (dr.Read())
{
dtWriteoffUpload.Rows.Add(dr["country name"].ToString(), dr["country key"].ToString());
}
答案 0 :(得分：235)
您可以使用接受DataTable的{{1}}方法直接从数据阅读器加载Load()。
IDataReader答案 1 :(得分：17)
请检查以下代码。它会自动转换为DataTable
private void ConvertDataReaderToTableManually()
{
SqlConnection conn = null;
try
{
string connString = ConfigurationManager.ConnectionStrings["NorthwindConn"].ConnectionString;
conn = new SqlConnection(connString);
string query = "SELECT * FROM Customers";
SqlCommand cmd = new SqlCommand(query, conn);
conn.Open();
SqlDataReader dr = cmd.ExecuteReader(CommandBehavior.CloseConnection);
DataTable dtSchema = dr.GetSchemaTable();
DataTable dt = new DataTable();
// You can also use an ArrayList instead of List<>
List<DataColumn> listCols = new List<DataColumn>();
if (dtSchema != null)
{
foreach (DataRow drow in dtSchema.Rows)
{
string columnName = System.Convert.ToString(drow["ColumnName"]);
DataColumn column = new DataColumn(columnName, (Type)(drow["DataType"]));
column.Unique = (bool)drow["IsUnique"];
column.AllowDBNull = (bool)drow["AllowDBNull"];
column.AutoIncrement = (bool)drow["IsAutoIncrement"];
listCols.Add(column);
dt.Columns.Add(column);
}
}
// Read rows from DataReader and populate the DataTable
while (dr.Read())
{
DataRow dataRow = dt.NewRow();
for (int i = 0; i < listCols.Count; i++)
{
dataRow[((DataColumn)listCols[i])] = dr[i];
}
dt.Rows.Add(dataRow);
}
GridView2.DataSource = dt;
GridView2.DataBind();
}
catch (SqlException ex)
{
// handle error
}
catch (Exception ex)
{
// handle error
}
finally
{
conn.Close();
}
}
答案 2 :(得分：13)
如果您尝试加载DataTable，请改用SqlDataAdapter：
DataTable dt = new DataTable();
using (SqlConnection c = new SqlConnection(cString))
using (SqlDataAdapter sda = new SqlDataAdapter(sql, c))
{
sda.SelectCommand.CommandType = CommandType.StoredProcedure;
sda.SelectCommand.Parameters.AddWithValue("@parm1", val1);
...
sda.Fill(dt);
}
您甚至不需要定义列。只需创建DataTable和Fill。
此处，cString是您的连接字符串，sql是存储过程命令。
答案 3 :(得分：9)
正如Sagi在他们的回答中所述，DataTable.Load是一个很好的解决方案。如果您尝试从单个读取器加载多个表，则无需调用DataReader.NextResult。 DataTable.Load方法还使读者前进到下一个结果集（如果有的话）。
// Read every result set in the data reader.
while (!reader.IsClosed)
{
DataTable dt = new DataTable();
// DataTable.Load automatically advances the reader to the next result set
dt.Load(reader);
items.Add(dt);
}
答案 4 :(得分：3)
我也研究了这个，并且在将SqlDataAdapter.Fill方法与SqlDataReader.Load函数进行比较之后，我发现SqlDataAdapter.Fill方法的结果集是我用过的结果集的两倍多。
使用过的代码：
[TestMethod]
public void SQLCommandVsAddaptor()
{
long AdapterFillLargeTableTime, readerLoadLargeTableTime, AdapterFillMediumTableTime, readerLoadMediumTableTime, AdapterFillSmallTableTime, readerLoadSmallTableTime, AdapterFillTinyTableTime, readerLoadTinyTableTime;
string LargeTableToFill = "select top 10000 * from FooBar";
string MediumTableToFill = "select top 1000 * from FooBar";
string SmallTableToFill = "select top 100 * from FooBar";
string TinyTableToFill = "select top 10 * from FooBar";
using (SqlConnection sconn = new SqlConnection("Data Source=.;initial catalog=Foo;persist security info=True; user id=bar;password=foobar;"))
{
// large data set measurements
AdapterFillLargeTableTime = MeasureExecutionTimeMethod(sconn, LargeTableToFill, ExecuteDataAdapterFillStep);
readerLoadLargeTableTime = MeasureExecutionTimeMethod(sconn, LargeTableToFill, ExecuteSqlReaderLoadStep);
// medium data set measurements
AdapterFillMediumTableTime = MeasureExecutionTimeMethod(sconn, MediumTableToFill, ExecuteDataAdapterFillStep);
readerLoadMediumTableTime = MeasureExecutionTimeMethod(sconn, MediumTableToFill, ExecuteSqlReaderLoadStep);
// small data set measurements
AdapterFillSmallTableTime = MeasureExecutionTimeMethod(sconn, SmallTableToFill, ExecuteDataAdapterFillStep);
readerLoadSmallTableTime = MeasureExecutionTimeMethod(sconn, SmallTableToFill, ExecuteSqlReaderLoadStep);
// tiny data set measurements
AdapterFillTinyTableTime = MeasureExecutionTimeMethod(sconn, TinyTableToFill, ExecuteDataAdapterFillStep);
readerLoadTinyTableTime = MeasureExecutionTimeMethod(sconn, TinyTableToFill, ExecuteSqlReaderLoadStep);
}
using (StreamWriter writer = new StreamWriter("result_sql_compare.txt"))
{
writer.WriteLine("10000 rows");
writer.WriteLine("Sql Data Adapter 100 times table fill speed 10000 rows: {0} milliseconds", AdapterFillLargeTableTime);
writer.WriteLine("Sql Data Reader 100 times table load speed 10000 rows: {0} milliseconds", readerLoadLargeTableTime);
writer.WriteLine("1000 rows");
writer.WriteLine("Sql Data Adapter 100 times table fill speed 1000 rows: {0} milliseconds", AdapterFillMediumTableTime);
writer.WriteLine("Sql Data Reader 100 times table load speed 1000 rows: {0} milliseconds", readerLoadMediumTableTime);
writer.WriteLine("100 rows");
writer.WriteLine("Sql Data Adapter 100 times table fill speed 100 rows: {0} milliseconds", AdapterFillSmallTableTime);
writer.WriteLine("Sql Data Reader 100 times table load speed 100 rows: {0} milliseconds", readerLoadSmallTableTime);
writer.WriteLine("10 rows");
writer.WriteLine("Sql Data Adapter 100 times table fill speed 10 rows: {0} milliseconds", AdapterFillTinyTableTime);
writer.WriteLine("Sql Data Reader 100 times table load speed 10 rows: {0} milliseconds", readerLoadTinyTableTime);
}
Process.Start("result_sql_compare.txt");
}
private long MeasureExecutionTimeMethod(SqlConnection conn, string query, Action<SqlConnection, string> Method)
{
long time; // know C#
// execute single read step outside measurement time, to warm up cache or whatever
Method(conn, query);
// start timing
time = Environment.TickCount;
for (int i = 0; i < 100; i++)
{
Method(conn, query);
}
// return time in milliseconds
return Environment.TickCount - time;
}
private void ExecuteDataAdapterFillStep(SqlConnection conn, string query)
{
DataTable tab = new DataTable();
conn.Open();
using (SqlDataAdapter comm = new SqlDataAdapter(query, conn))
{
// Adapter fill table function
comm.Fill(tab);
}
conn.Close();
}
private void ExecuteSqlReaderLoadStep(SqlConnection conn, string query)
{
DataTable tab = new DataTable();
conn.Open();
using (SqlCommand comm = new SqlCommand(query, conn))
{
using (SqlDataReader reader = comm.ExecuteReader())
{
// IDataReader Load function
tab.Load(reader);
}
}
conn.Close();
}
结果：
10000 rows:
Sql Data Adapter 100 times table fill speed 10000 rows: 11782 milliseconds
Sql Data Reader 100 times table load speed 10000 rows: 26047 milliseconds
1000 rows:
Sql Data Adapter 100 times table fill speed 1000 rows: 984 milliseconds
Sql Data Reader 100 times table load speed 1000 rows: 2031 milliseconds
100 rows:
Sql Data Adapter 100 times table fill speed 100 rows: 125 milliseconds
Sql Data Reader 100 times table load speed 100 rows: 235 milliseconds
10 rows:
Sql Data Adapter 100 times table fill speed 10 rows: 32 milliseconds
Sql Data Reader 100 times table load speed 10 rows: 93 milliseconds
对于性能问题，使用SqlDataAdapter.Fill方法效率更高。因此，除非你想用脚射击自己。它适用于小型和大型数据集。
答案 5 :(得分：0)
可能最优雅的解决方案是：
DataTable dt = reader.GetSchemaTable();
这是一个单班轮，所以去试试吧！打开阅读器后，您只需调用 GetSchemaTable。美妙之处在于，即使查询不返回任何行，它也能工作，但您可以获取有关列的信息。总共有 31 个属性，包括列在 SQL 服务器上是否为 NOT NULL，它甚至可以获得您在 SQL 服务器上在列上设置的任何扩展属性。作为额外的好处，您只需将鼠标悬停在“DataTable dt”上，即可轻松查看通过 Visual Studio 中的 Dataset Visualizer 获得的任何内容和所有内容。 screen cap of Visualizer
