如何高效地将多个不同结构的数据表合并到一个表中？

将多个 DataTable 组合成一个综合表

挑战：
合并多个具有不同列定义和行数的 DataTable，同时确保对齐并保持数据完整性可以

解决方案：
要克服此问题并创建单个综合数据表，您可以采用以下自定义方法：

public static DataTable MergeAll(this IList<DataTable> tables, String primaryKeyColumn)
{
    // Validate arguments
    if (!tables.Any())
        throw new ArgumentException("Tables must not be empty", "tables");
    if (primaryKeyColumn != null)
        foreach (DataTable t in tables)
            if (!t.Columns.Contains(primaryKeyColumn))
                throw new ArgumentException("All tables must have the specified primarykey column " + primaryKeyColumn, "primaryKeyColumn");

    DataTable table = new DataTable("TblUnion");

    // Disable data validation during bulk loading
    table.BeginLoadData();

    // Merge all tables into the result table
    foreach (DataTable t in tables)
        table.Merge(t, false, MissingSchemaAction.Add);

    // End data validation
    table.EndLoadData();

    // Handle duplicate primary keys (if specified)
    if (primaryKeyColumn != null)
    {
        // Group rows by primary key column
        var pkGroups = table.AsEnumerable().GroupBy(r => r[primaryKeyColumn]);

        // Identify groups with duplicate keys
        var dupGroups = pkGroups.Where(g => g.Count() > 1);

        // Combine data from duplicate rows into the first row of each group
        foreach (var grpDup in dupGroups)
        {
            // Use the first row and modify it to include data from other rows
            DataRow firstRow = grpDup.First();
            foreach (DataColumn c in table.Columns)
            {
                if (firstRow.IsNull(c))
                {
                    // Find the first non-null row for the current column and copy its value
                    DataRow firstNotNullRow = grpDup.Skip(1).FirstOrDefault(r => !r.IsNull(c));
                    if (firstNotNullRow != null)
                        firstRow[c] = firstNotNullRow[c];
                }
            }

            // Remove duplicate rows
            var rowsToRemove = grpDup.Skip(1);
            foreach (DataRow rowToRemove in rowsToRemove)
                table.Rows.Remove(rowToRemove);
        }
    }

    // Return the merged table
    return table;
}

用法：

var tables = new[] { tblA, tblB, tblC };
DataTable TblUnion = tables.MergeAll("c1");

此方法提供了强大的合并解决方案数据表，处理数据对齐并保留关键数据。

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