.NET批量大数据插入性能分析及比较

Mathilda ·
更新时间:2024-11-13
· 799 次阅读

  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 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()); } }



net 性能分析 性能 .NET 数据 大数据

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