在 c# 中更改 DataTable 的过滤 DataRows 非常非常慢

It is very very slow to change filtered DataRows of DataTable in c#

这里有一个代码是2 DataTables。它们都填充了来自 SQL Server 2012 的 SqlDataAdabterdtParticipants 中有 15.000 行,dtSubjectResult 中有 80.000 行。

foreach (DataRow rowPart in dtParticipants.Rows)
{
    int partId = int.Parse(rowPart["main_id"].ToString());
    string partUserCode = rowPart["o_user_code"].ToString();

    DataRow[] filteredRows = dtSubjectResult.Select("main_id = " + partId);
    if (filteredRows == null)
        continue;

    foreach (DataRow row in filteredRows)
    {
        row["correct_count"] = 5;//unit.CorrectCount;
        row["incorrect_count"] = 15;//unit.IncorrectCount;
        row["empty_count"] = 20;//unit.EmptyCount;
        row["net_count"] = 12;//unit.Total;
    }//foreach 2
}//foreach 1

但是这段代码非常非常慢...当我在第二个foreach中注释代码时,代码运行非常正常,没有任何速度问题。

有趣的是,当我像这样尝试这段代码时,它工作得很好。

foreach (DataRow row in dtSubjectResult.Rows)
{
    row["correct_count"] = 5;//unit.CorrectCount;
    row["incorrect_count"] = 15;//unit.IncorrectCount;
    row["empty_count"] = 20;//unit.EmptyCount;
    row["net_count"] = 12;//unit.Total;
}

那么问题是什么...循环遍历过滤的行很慢吗?我不知道??

多重过滤操作严重影响性能

DataRow[] filteredRows = dtSubjectResult.Select("main_id = " + partId);

Select 需要解释过滤器表达式,在 dtSubjectResult 中的每 15k 次迭代中扫描 80k 行

Join 2 个表并一次性更新 dtSubjectResult 行:

var grouped = dtParticipants.AsEnumerable()
    .Join(dtSubjectResult.AsEnumerable(),
          rPart => (int)rPart["main_id"],
          rSubj => (int)rSubj["main_id"],
          (rPart, rSubj) => new { P = rPart, S = rSubj })
    .GroupBy(x => x.P["main_id"]);

foreach (var gr in grouped)
{
    foreach (var row in gr)
    {
        row.S["correct_count"] = 5;//unit.CorrectCount;
        row.S["incorrect_count"] = 15;//unit.IncorrectCount;
        row.S["empty_count"] = 20;//unit.EmptyCount;
        row.S["net_count"] = 12;//unit.Total;
    }
}