详解c#完成几种数据库的大数据批量插进去的示例代码【C#.Net教程】,c#，数据库，批量插入

这篇文章主要引见了c#完成几种数据库的大数据批量插进去，主要包括SqlServer、Oracle、SQLite和MySQL，有兴致的能够相识一下。

在之前只知道SqlServer支撑数据批量插进去，殊不知道Oracle、SQLite和MySQL也是支撑的，不过Oracle须要运用Orace.DataAccess驱动，本日就贴出几种数据库的批量插进去解决要领。

首先说一下，IProvider里有一个用于完成批量插进去的插件效劳接口IBatcherProvider，此接口在前一篇文章中已提到过了。

/// <summary> 
  /// 供应数据批量处置惩罚的要领。 
  /// </summary> 
  public interface IBatcherProvider : IProviderService 
  { 
    /// <summary> 
    /// 将 <see cref="DataTable"/> 的数据批量插进去到数据库中。 
    /// </summary> 
    /// <param name="dataTable">要批量插进去的 <see cref="DataTable"/>。</param> 
    /// <param name="batchSize">每批次写入的数据量。</param> 
    void Insert(DataTable dataTable, int batchSize = 10000); 
  }

一、SqlServer数据批量插进去

SqlServer的批量插进去很简单，运用SqlBulkCopy就能够，以下是该类的完成：

/// <summary> 
  /// 为 System.Data.SqlClient 供应的用于批量操纵的要领。 
  /// </summary> 
  public sealed class MsSqlBatcher : IBatcherProvider 
  { 
    /// <summary> 
    /// 猎取或设置供应者效劳的上下文。 
    /// </summary> 
    public ServiceContext ServiceContext { get; set; } 
 
    /// <summary> 
    /// 将 <see cref="DataTable"/> 的数据批量插进去到数据库中。 
    /// </summary> 
    /// <param name="dataTable">要批量插进去的 <see cref="DataTable"/>。</param> 
    /// <param name="batchSize">每批次写入的数据量。</param> 
    public void Insert(DataTable dataTable, int batchSize = 10000) 
    { 
      Checker.ArgumentNull(dataTable, "dataTable"); 
      if (dataTable.Rows.Count == 0) 
      { 
        return; 
      } 
      using (var connection = (SqlConnection)ServiceContext.Database.CreateConnection()) 
      { 
        try 
        { 
          connection.TryOpen(); 
          //给表名加上前后导符 
          var tableName = DbUtility.FormatByQuote(ServiceContext.Database.Provider.GetService<ISyntaxProvider>(), dataTable.TableName); 
          using (var bulk = new SqlBulkCopy(connection, SqlBulkCopyOptions.KeepIdentity, null) 
            { 
              DestinationTableName = tableName,  
              BatchSize = batchSize 
            }) 
          { 
            //轮回一切列，为bulk增加映照 
            dataTable.EachColumn(c => bulk.ColumnMappings.Add(c.ColumnName, c.ColumnName), c => !c.AutoIncrement); 
            bulk.WriteToServer(dataTable); 
            bulk.Close(); 
          } 
        } 
        catch (Exception exp) 
        { 
          throw new BatcherException(exp); 
        } 
        finally 
        { 
          connection.TryClose(); 
        } 
      } 
    } 
  }

以上没有运用事件，运用事件在机能上会有肯定的影响，假如要运用事件，能够设置SqlBulkCopyOptions.UseInternalTransaction。

二、Oracle数据批量插进去

System.Data.OracleClient不支撑批量插进去，因而只能运用Oracle.DataAccess组件来作为供应者。

/// <summary> 
  /// Oracle.Data.Access 组件供应的用于批量操纵的要领。 
  /// </summary> 
  public sealed class OracleAccessBatcher : IBatcherProvider 
  { 
    /// <summary> 
    /// 猎取或设置供应者效劳的上下文。 
    /// </summary> 
    public ServiceContext ServiceContext { get; set; } 
 
    /// <summary> 
    /// 将 <see cref="DataTable"/> 的数据批量插进去到数据库中。 
    /// </summary> 
    /// <param name="dataTable">要批量插进去的 <see cref="DataTable"/>。</param> 
    /// <param name="batchSize">每批次写入的数据量。</param> 
    public void Insert(DataTable dataTable, int batchSize = 10000) 
    { 
      Checker.ArgumentNull(dataTable, "dataTable"); 
      if (dataTable.Rows.Count == 0) 
      { 
        return; 
      } 
      using (var connection = ServiceContext.Database.CreateConnection()) 
      { 
        try 
        { 
          connection.TryOpen(); 
          using (var command = ServiceContext.Database.Provider.DbProviderFactory.CreateCommand()) 
          { 
            if (command == null) 
            { 
              throw new BatcherException(new ArgumentException("command")); 
            } 
            command.Connection = connection; 
            command.CommandText = GenerateInserSql(ServiceContext.Database, command, dataTable); 
            command.ExecuteNonQuery(); 
          } 
        } 
        catch (Exception exp) 
        { 
          throw new BatcherException(exp); 
        } 
        finally 
        { 
          connection.TryClose(); 
        } 
      } 
    } 
 
    /// <summary> 
    /// 生成插进去数据的sql语句。 
    /// </summary> 
    /// <param name="database"></param> 
    /// <param name="command"></param> 
    /// <param name="table"></param> 
    /// <returns></returns> 
    private string GenerateInserSql(IDatabase database, DbCommand command, DataTable table) 
    { 
      var names = new StringBuilder(); 
      var values = new StringBuilder(); 
      //将一个DataTable的数据转换为数组的数组 
      var data = table.ToArray(); 
 
      //设置ArrayBindCount属性 
      command.GetType().GetProperty("ArrayBindCount").SetValue(command, table.Rows.Count, null); 
 
      var syntax = database.Provider.GetService<ISyntaxProvider>(); 
      for (var i = 0; i < table.Columns.Count; i++) 
      { 
        var column = table.Columns[i]; 
 
        var parameter = database.Provider.DbProviderFactory.CreateParameter(); 
        if (parameter == null) 
        { 
          continue; 
        } 
        parameter.ParameterName = column.ColumnName; 
        parameter.Direction = ParameterDirection.Input; 
        parameter.DbType = column.DataType.GetDbType(); 
        parameter.Value = data[i]; 
 
        if (names.Length > 0) 
        { 
          names.Append(","); 
          values.Append(","); 
        } 
        names.AppendFormat("{0}", DbUtility.FormatByQuote(syntax, column.ColumnName)); 
        values.AppendFormat("{0}{1}", syntax.ParameterPrefix, column.ColumnName); 
 
        command.Parameters.Add(parameter); 
      } 
      return string.Format("INSERT INTO {0}({1}) VALUES ({2})", DbUtility.FormatByQuote(syntax, table.TableName), names, values); 
    } 
  }

以上最主要的一步，就是将DataTable转为数组的数组示意，即object[][]，前数组的上标是列的个数，后数组是行的个数，因而轮回Columns将后数组作为Parameter的值，也就是说，参数的值是一个数组。而insert语句与平常的插进去语句没有什么不一样。

三、SQLite数据批量插进去

SQLite的批量插进去只需开启事件就能够了，这个细致的道理不得而知。

public sealed class SQLiteBatcher : IBatcherProvider 
  { 
    /// <summary> 
    /// 猎取或设置供应者效劳的上下文。 
    /// </summary> 
    public ServiceContext ServiceContext { get; set; } 
 
    /// <summary> 
    /// 将 <see cref="DataTable"/> 的数据批量插进去到数据库中。 
    /// </summary> 
    /// <param name="dataTable">要批量插进去的 <see cref="DataTable"/>。</param> 
    /// <param name="batchSize">每批次写入的数据量。</param> 
    public void Insert(DataTable dataTable, int batchSize = 10000) 
    { 
      Checker.ArgumentNull(dataTable, "dataTable"); 
      if (dataTable.Rows.Count == 0) 
      { 
        return; 
      } 
      using (var connection = ServiceContext.Database.CreateConnection()) 
      { 
        DbTransaction transcation = null; 
        try 
        { 
          connection.TryOpen(); 
          transcation = connection.BeginTransaction(); 
          using (var command = ServiceContext.Database.Provider.DbProviderFactory.CreateCommand()) 
          { 
            if (command == null) 
            { 
              throw new BatcherException(new ArgumentException("command")); 
            } 
            command.Connection = connection; 
 
            command.CommandText = GenerateInserSql(ServiceContext.Database, dataTable); 
            if (command.CommandText == string.Empty) 
            { 
              return; 
            } 
 
            var flag = new AssertFlag(); 
            dataTable.EachRow(row => 
              { 
                var first = flag.AssertTrue(); 
                ProcessCommandParameters(dataTable, command, row, first); 
                command.ExecuteNonQuery(); 
              }); 
          } 
          transcation.Commit(); 
        } 
        catch (Exception exp) 
        { 
          if (transcation != null) 
          { 
            transcation.Rollback(); 
          } 
          throw new BatcherException(exp); 
        } 
        finally 
        { 
          connection.TryClose(); 
        } 
      } 
    } 
 
    private void ProcessCommandParameters(DataTable dataTable, DbCommand command, DataRow row, bool first) 
    { 
      for (var c = 0; c < dataTable.Columns.Count; c++) 
      { 
        DbParameter parameter; 
        //初次建立参数，是为了运用缓存 
        if (first) 
        { 
          parameter = ServiceContext.Database.Provider.DbProviderFactory.CreateParameter(); 
          parameter.ParameterName = dataTable.Columns[c].ColumnName; 
          command.Parameters.Add(parameter); 
        } 
        else 
        { 
          parameter = command.Parameters[c]; 
        } 
        parameter.Value = row[c]; 
      } 
    } 
 
    /// <summary> 
    /// 生成插进去数据的sql语句。 
    /// </summary> 
    /// <param name="database"></param> 
    /// <param name="table"></param> 
    /// <returns></returns> 
    private string GenerateInserSql(IDatabase database, DataTable table) 
    { 
      var syntax = database.Provider.GetService<ISyntaxProvider>(); 
      var names = new StringBuilder(); 
      var values = new StringBuilder(); 
      var flag = new AssertFlag(); 
      table.EachColumn(column => 
        { 
          if (!flag.AssertTrue()) 
          { 
            names.Append(","); 
            values.Append(","); 
          } 
          names.Append(DbUtility.FormatByQuote(syntax, column.ColumnName)); 
          values.AppendFormat("{0}{1}", syntax.ParameterPrefix, column.ColumnName); 
        }); 
      return string.Format("INSERT INTO {0}({1}) VALUES ({2})", DbUtility.FormatByQuote(syntax, table.TableName), names, values); 
    } 
  }

四、MySql数据批量插进去

/// <summary> 
  /// 为 MySql.Data 组件供应的用于批量操纵的要领。 
  /// </summary> 
  public sealed class MySqlBatcher : IBatcherProvider 
  { 
    /// <summary> 
    /// 猎取或设置供应者效劳的上下文。 
    /// </summary> 
    public ServiceContext ServiceContext { get; set; } 
 
    /// <summary> 
    /// 将 <see cref="DataTable"/> 的数据批量插进去到数据库中。 
    /// </summary> 
    /// <param name="dataTable">要批量插进去的 <see cref="DataTable"/>。</param> 
    /// <param name="batchSize">每批次写入的数据量。</param> 
    public void Insert(DataTable dataTable, int batchSize = 10000) 
    { 
      Checker.ArgumentNull(dataTable, "dataTable"); 
      if (dataTable.Rows.Count == 0) 
      { 
        return; 
      } 
      using (var connection = ServiceContext.Database.CreateConnection()) 
      { 
        try 
        { 
          connection.TryOpen(); 
          using (var command = ServiceContext.Database.Provider.DbProviderFactory.CreateCommand()) 
          { 
            if (command == null) 
            { 
              throw new BatcherException(new ArgumentException("command")); 
            } 
            command.Connection = connection; 
 
            command.CommandText = GenerateInserSql(ServiceContext.Database, command, dataTable); 
            if (command.CommandText == string.Empty) 
            { 
              return; 
            } 
            command.ExecuteNonQuery(); 
          } 
        } 
        catch (Exception exp) 
        { 
          throw new BatcherException(exp); 
        } 
        finally 
        { 
          connection.TryClose(); 
        } 
      } 
    } 
 
    /// <summary> 
    /// 生成插进去数据的sql语句。 
    /// </summary> 
    /// <param name="database"></param> 
    /// <param name="command"></param> 
    /// <param name="table"></param> 
    /// <returns></returns> 
    private string GenerateInserSql(IDatabase database, DbCommand command, DataTable table) 
    { 
      var names = new StringBuilder(); 
      var values = new StringBuilder(); 
      var types = new List<DbType>(); 
      var count = table.Columns.Count; 
      var syntax = database.Provider.GetService<ISyntaxProvider>(); 
      table.EachColumn(c => 
        { 
          if (names.Length > 0) 
          { 
            names.Append(","); 
          } 
          names.AppendFormat("{0}", DbUtility.FormatByQuote(syntax, c.ColumnName)); 
          types.Add(c.DataType.GetDbType()); 
        }); 
 
      var i = 0; 
      foreach (DataRow row in table.Rows) 
      { 
        if (i > 0) 
        { 
          values.Append(","); 
        } 
        values.Append("("); 
        for (var j = 0; j < count; j++) 
        { 
          if (j > 0) 
          { 
            values.Append(", "); 
          } 
          var isStrType = IsStringType(types[j]); 
          var parameter = CreateParameter(database.Provider, isStrType, types[j], row[j], syntax.ParameterPrefix, i, j); 
          if (parameter != null) 
          { 
            values.Append(parameter.ParameterName); 
            command.Parameters.Add(parameter); 
          } 
          else if (isStrType) 
          { 
            values.AppendFormat("'{0}'", row[j]); 
          } 
          else 
          { 
            values.Append(row[j]); 
          } 
        } 
        values.Append(")"); 
        i++; 
      } 
      return string.Format("INSERT INTO {0}({1}) VALUES {2}", DbUtility.FormatByQuote(syntax, table.TableName), names, values); 
    } 
 
    /// <summary> 
    /// 推断是不是为字符串种别。 
    /// </summary> 
    /// <param name="dbType"></param> 
    /// <returns></returns> 
    private bool IsStringType(DbType dbType) 
    { 
return dbType == DbType.AnsiString || dbType == DbType.AnsiStringFixedLength || dbType == DbType.String || dbType == DbType.StringFixedLength; 
    } 
 
    /// <summary> 
    /// 建立参数。 
    /// </summary> 
    /// <param name="provider"></param> 
    /// <param name="isStrType"></param> 
    /// <param name="dbType"></param> 
    /// <param name="value"></param> 
    /// <param name="parPrefix"></param> 
    /// <param name="row"></param> 
    /// <param name="col"></param> 
    /// <returns></returns> 
    private DbParameter CreateParameter(IProvider provider, bool isStrType, DbType dbType, object value, char parPrefix, int row, int col) 
    { 
      //假如生成悉数的参数，则速率会很慢，因而，只要数据类型为字符串(包括'号)和日期型时才增加参数 
      if ((isStrType && value.ToString().IndexOf('\'') != -1) || dbType == DbType.DateTime) 
      { 
        var name = string.Format("{0}p_{1}_{2}", parPrefix, row, col); 
        var parameter = provider.DbProviderFactory.CreateParameter(); 
        parameter.ParameterName = name; 
        parameter.Direction = ParameterDirection.Input; 
        parameter.DbType = dbType; 
        parameter.Value = value; 
        return parameter; 
      } 
      return null; 
    } 
  }

MySql的批量插进去，是将值悉数写在语句的values里，比方，insert batcher(id, name) values(1, '1', 2, '2', 3, '3', ........ 10, '10')。

五、测试

接下来写一个测试用例来看一下运用批量插进去的结果。

    public void TestBatchInsert() 
    { 
      Console.WriteLine(TimeWatcher.Watch(() => 
        InvokeTest(database => 
          { 
            var table = new DataTable("Batcher"); 
            table.Columns.Add("Id", typeof(int)); 
            table.Columns.Add("Name1", typeof(string)); 
            table.Columns.Add("Name2", typeof(string)); 
            table.Columns.Add("Name3", typeof(string)); 
            table.Columns.Add("Name4", typeof(string)); 
 
            //组织100000条数据 
            for (var i = 0; i < 100000; i++) 
            { 
              table.Rows.Add(i, i.ToString(), i.ToString(), i.ToString(), i.ToString()); 
            } 
 
            //猎取 IBatcherProvider 
            var batcher = database.Provider.GetService<IBatcherProvider>(); 
            if (batcher == null) 
            { 
              Console.WriteLine("不支撑批量插进去。"); 
            } 
            else 
            { 
              batcher.Insert(table); 
            } 
 
            //输出batcher表的数据量 
            var sql = new SqlCommand("SELECT COUNT(1) FROM Batcher"); 
            Console.WriteLine("当前共有 {0} 条数据", database.ExecuteScalar(sql)); 
 
          }))); 
    }

以下表中列出了四种数据库生成10万条数据各耗用的时候