.NET批量大数据插入性能分析及比较

 

数据插入使用了以下几种方式

1. 逐条数据插入
2. 拼接sql语句批量插入
3. 拼接sql语句并使用Transaction
4. 拼接sql语句并使用SqlTransaction
5. 使用DataAdapter
6. 使用TransactionScope及SqlBulkCopy
7. 使用表值参数

 

数据库使用SQL Server，脚本如下

 

create table TestTable
(
Id int
,Name nvarchar(20)
)

 

程序中生成测试DataTable结构和测试数据的类如下

[c-sharp] view plaincopyprint?
1.public class Tools 
2.{ 
3.    public static DataTable MakeDataTable() 
4.    { 
5.        DataTable table = new DataTable(); 
6. 
7.        //生成DataTable的模式(schema)  
8.        table.Columns.Add("Id", Type.GetType("System.Int32")); 
9.        table.Columns.Add("Name", Type.GetType("System.String")); 
10. 
11.        //设置主键  
12.        table.PrimaryKey = new DataColumn[] { table.Columns["ID"] }; 
13.        table.Columns["Id"].AutoIncrement = true; 
14.        table.Columns["Id"].AutoIncrementSeed = 1; 
15.        table.Columns["Id"].ReadOnly = true; 
16.        return table; 
17.    } 
18. 
19.    public static void MakeData(DataTable table, int count) 
20.    { 
21.        if (table == null) 
22.            return; 
23. 
24.        if (count <= 0) 
25.            return; 
26. 
27.        DataRow row = null; 
28. 
29.        for (int i = 1; i <= count; i++) 
30.        { 
31.            //创建一个新的DataRow对象(生成一个新行)  
32.            row = table.NewRow(); 
33.            row["Name"] = "Test" + i.ToString(); 
34.            //添加新的DataRow  
35.            table.Rows.Add(row); 
36.        } 
37.    } 
38.} 
    public class Tools
    {
        public static DataTable MakeDataTable()
        {
            DataTable table = new DataTable();

            //生成DataTable的模式(schema)
            table.Columns.Add("Id", Type.GetType("System.Int32"));
            table.Columns.Add("Name", Type.GetType("System.String"));

            //设置主键
            table.PrimaryKey = new DataColumn[] { table.Columns["ID"] };
            table.Columns["Id"].AutoIncrement = true;
            table.Columns["Id"].AutoIncrementSeed = 1;
            table.Columns["Id"].ReadOnly = true;
            return table;
        }

        public static void MakeData(DataTable table, int count)
        {
            if (table == null)
                return;

            if (count <= 0)
                return;

            DataRow row = null;

            for (int i = 1; i <= count; i++)
            {
                //创建一个新的DataRow对象(生成一个新行)
                row = table.NewRow();
                row["Name"] = "Test" + i.ToString();
                //添加新的DataRow
                table.Rows.Add(row);
            }
        }
    }

 

 

 

使用Log4net记录日志，默认插入记录数为40000条，每次插入1条，可在界面修改，使用System.Diagnostics.StopWatch记录插入时间，每次测试后删除原表重建

 

窗体代码如下：

 

public delegate bool InsertHandler(DataTable table, int batchSize);

public partial class FrmBatch : Form
{
    private Stopwatch _watch = new Stopwatch();

    public FrmBatch()
    {
        InitializeComponent();
    }

    private void FrmBatch_Load(object sender, EventArgs e)
    {
        txtRecordCount.Text = "40000";
        txtBatchSize.Text = "1";
    }

    //逐条数据插入
    private void btnInsert_Click(object sender, EventArgs e)
    {
        Insert(DbOperation.ExecuteInsert, "Use SqlServer Insert");
    }

    //拼接sql语句插入
    private void btnBatchInsert_Click(object sender, EventArgs e)
    {
        Insert(DbOperation.ExecuteBatchInsert, "Use SqlServer Batch Insert");
    }

    //拼接sql语句并使用Transaction
    private void btnTransactionInsert_Click(object sender, EventArgs e)
    {
        Insert(DbOperation.ExecuteTransactionInsert, "Use SqlServer Batch Transaction Insert");
    }

    //拼接sql语句并使用SqlTransaction
    private void btnSqlTransactionInsert_Click(object sender, EventArgs e)
    {
        Insert(DbOperation.ExecuteSqlTransactionInsert, "Use SqlServer Batch SqlTransaction Insert");
    }

    //使用DataAdapter
    private void btnDataAdapterInsert_Click(object sender, EventArgs e)
    {
        Insert(DbOperation.ExecuteDataAdapterInsert, "Use SqlServer DataAdapter Insert");
    }

    //使用TransactionScope
    private void btnTransactionScopeInsert_Click(object sender, EventArgs e)
    {
        Insert(DbOperation.ExecuteTransactionScopeInsert, "Use SqlServer TransactionScope Insert");
    }

    //使用表值参数
    private void btnTableTypeInsert_Click(object sender, EventArgs e)
    {
        Insert(DbOperation.ExecuteTableTypeInsert, "Use SqlServer TableType Insert");
    }

    private DataTable InitDataTable()
    {
        DataTable table = Tools.MakeDataTable();
        int count = 0;
        if (int.TryParse(txtRecordCount.Text.Trim(), out count))
        {
            Tools.MakeData(table, count);
            //MessageBox.Show("Data Init OK");
        }
        return table;
    }

    public void Insert(InsertHandler handler, string msg)
    {
        DataTable table = InitDataTable();
        if (table == null)
        {
            MessageBox.Show("DataTable is null");
            return;
        }

        int recordCount = table.Rows.Count;
        if (recordCount <= 0)
        {
            MessageBox.Show("No Data");
            return;
        }

        int batchSize = 0;
        int.TryParse(txtBatchSize.Text.Trim(), out batchSize);
        if (batchSize <= 0)
        {
            MessageBox.Show("batchSize <= 0");
            return;
        }

        bool result = false;
        _watch.Reset(); _watch.Start();
        result = handler(table, batchSize);
        _watch.Stop(www.nuoya66.com);
        string log = string.Format("{0};RecordCount:{1};BatchSize:{2};Time:{3};", msg, recordCount, batchSize, _watch.ElapsedMilliseconds);
        LogHelper.Info(log);
        MessageBox.Show(result.ToString());
    }
}

转载于:https://www.cnblogs.com/zhcj0929/p/4424553.html