Sql Server 2008大型事务优化(700k+行/事务)

数据库基本上需要每月更新一次。必须清除主表,然后从CSV文件中重新填充。问题是SQLServer会为它生成一个非常大的日志。我成功地灌满了一次,但想通过吹扫然后再灌满来测试整个过程。

这时我得到一个错误,日志文件被填满了。它从88MB(通过维护计划缩减后)跳到248MB,然后完全停止进程,永远不会完成。

感谢您提前回复!

根据@mattmc3的建议,我已经为整个过程实现了SqlBulkCopy。它的工作原理很神奇,除了,我的循环在最后一个需要插入的块上崩溃了。我不太确定哪里出了问题,见鬼,我甚至不知道这是不是一个适当的循环,所以我很感谢一些帮助。

我知道这是最后一次GetDataTable或SetSqlBulkCopy调用的问题。我试着插入788189行,788000行进入,剩下的189行正在崩溃。。。

string[] Rows;

using (StreamReader Reader = new StreamReader("C:/?.csv")) {
    Rows = Reader.ReadToEnd().TrimEnd().Split(new char[1] {
        '\n'
     }, StringSplitOptions.RemoveEmptyEntries);
};

int RowsInserted = 0;

using (SqlConnection Connection = new SqlConnection("")) {
    Connection.Open();

    DataTable Table = null;

    while ((RowsInserted < Rows.Length) && ((Rows.Length - RowsInserted) >= 1000)) {
        Table = GetDataTable(Rows.Skip(RowsInserted).Take(1000).ToArray());

        SetSqlBulkCopy(Table, Connection);

        RowsInserted += 1000;
    };

    Table = GetDataTable(Rows.Skip(RowsInserted).ToArray());

    SetSqlBulkCopy(Table, Connection);

    Connection.Close();
};

static DataTable GetDataTable(
    string[] Rows) {
    using (DataTable Table = new DataTable()) {
        Table.Columns.Add(new DataColumn("A"));
        Table.Columns.Add(new DataColumn("B"));
        Table.Columns.Add(new DataColumn("C"));
        Table.Columns.Add(new DataColumn("D"));

        for (short a = 0, b = (short)Rows.Length; a < b; a++) {
            string[] Columns = Rows[a].Split(new char[1] {
                ','
            }, StringSplitOptions.RemoveEmptyEntries);

            DataRow Row = Table.NewRow();

            Row["A"] = Columns[0];
            Row["B"] = Columns[1];
            Row["C"] = Columns[2];
            Row["D"] = Columns[3];

            Table.Rows.Add(Row);
        };

        return (Table);
    };
}

static void SetSqlBulkCopy(
    DataTable Table,
    SqlConnection Connection) {
    using (SqlBulkCopy SqlBulkCopy = new SqlBulkCopy(Connection)) {
        SqlBulkCopy.ColumnMappings.Add(new SqlBulkCopyColumnMapping("A", "A"));
        SqlBulkCopy.ColumnMappings.Add(new SqlBulkCopyColumnMapping("B", "B"));
        SqlBulkCopy.ColumnMappings.Add(new SqlBulkCopyColumnMapping("C", "C"));
        SqlBulkCopy.ColumnMappings.Add(new SqlBulkCopyColumnMapping("D", "D"));

        SqlBulkCopy.BatchSize = Table.Rows.Count;
        SqlBulkCopy.DestinationTableName = "E";
        SqlBulkCopy.WriteToServer(Table);
    };
}

编辑/最终代码: 因此,该应用程序现在已经完成,工作惊人,相当迅速@谢谢你的帮助!以下是最后一段代码,供任何可能觉得有用的人使用:

List<string> Rows = new List<string>();

using (StreamReader Reader = new StreamReader(@"?.csv")) {
    string Line = string.Empty;

    while (!String.IsNullOrWhiteSpace(Line = Reader.ReadLine())) {
        Rows.Add(Line);
    };
};

if (Rows.Count > 0) {
    int RowsInserted = 0;

    DataTable Table = new DataTable();

    Table.Columns.Add(new DataColumn("Id"));
    Table.Columns.Add(new DataColumn("A"));

    while ((RowsInserted < Rows.Count) && ((Rows.Count - RowsInserted) >= 1000)) {
        Table = GetDataTable(Rows.Skip(RowsInserted).Take(1000).ToList(), Table);

        PerformSqlBulkCopy(Table);

        RowsInserted += 1000;

        Table.Clear();
    };

    Table = GetDataTable(Rows.Skip(RowsInserted).ToList(), Table);

    PerformSqlBulkCopy(Table);
};

static DataTable GetDataTable(
    List<string> Rows,
    DataTable Table) {
    for (short a = 0, b = (short)Rows.Count; a < b; a++) {
        string[] Columns = Rows[a].Split(new char[1] {
            ','
        }, StringSplitOptions.RemoveEmptyEntries);

        DataRow Row = Table.NewRow();

        Row["A"] = "";

        Table.Rows.Add(Row);
    };

    return (Table);
}

static void PerformSqlBulkCopy(
    DataTable Table) {
    using (SqlBulkCopy SqlBulkCopy = new SqlBulkCopy(@"", SqlBulkCopyOptions.TableLock)) {
        SqlBulkCopy.BatchSize = Table.Rows.Count;
        SqlBulkCopy.DestinationTableName = "";
        SqlBulkCopy.WriteToServer(Table);
    };
}