我需要从数据表及其中的数据生成 TSQL 脚本。 这不是一个单一的插入。除此之外,我也需要创建表(相同的数据表结构)
所以:我有一个充满数据的数据表。我想要 TSQL 脚本在 SQL SERVER 中创建此 DataTable 的结构以及其中的数据(CREATE TABLE + INSERT)
提前谢谢您 特别感谢 John Saunders 帮助我纠正问题。
首先,我将使用这个对象来 构建您的 CREATE TABLE 命令。
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data.SqlClient;
using System.Data;
namespace Toolkit
{
public class SqlTableCreator
{
#region Instance Variables
private SqlConnection _connection;
public SqlConnection Connection
{
get { return _connection; }
set { _connection = value; }
}
private SqlTransaction _transaction;
public SqlTransaction Transaction
{
get { return _transaction; }
set { _transaction = value; }
}
private string _tableName;
public string DestinationTableName
{
get { return _tableName; }
set { _tableName = value; }
}
#endregion
#region Constructor
public SqlTableCreator() { }
public SqlTableCreator(SqlConnection connection) : this(connection, null) { }
public SqlTableCreator(SqlConnection connection, SqlTransaction transaction)
{
_connection = connection;
_transaction = transaction;
}
#endregion
#region Instance Methods
public object Create(DataTable schema)
{
return Create(schema, null);
}
public object Create(DataTable schema, int numKeys)
{
int[] primaryKeys = new int[numKeys];
for (int i = 0; i < numKeys; i++)
{
primaryKeys[i] = i;
}
return Create(schema, primaryKeys);
}
public object Create(DataTable schema, int[] primaryKeys)
{
string sql = GetCreateSQL(_tableName, schema, primaryKeys);
SqlCommand cmd;
if (_transaction != null && _transaction.Connection != null)
cmd = new SqlCommand(sql, _connection, _transaction);
else
cmd = new SqlCommand(sql, _connection);
return cmd.ExecuteNonQuery();
}
public object CreateFromDataTable(DataTable table)
{
string sql = GetCreateFromDataTableSQL(_tableName, table);
SqlCommand cmd;
if (_transaction != null && _transaction.Connection != null)
cmd = new SqlCommand(sql, _connection, _transaction);
else
cmd = new SqlCommand(sql, _connection);
return cmd.ExecuteNonQuery();
}
#endregion
#region Static Methods
public static string GetCreateSQL(string tableName, DataTable schema, int[] primaryKeys)
{
string sql = "CREATE TABLE [" + tableName + "] (\n";
// columns
foreach (DataRow column in schema.Rows)
{
if (!(schema.Columns.Contains("IsHidden") && (bool)column["IsHidden"]))
{
sql += "\t[" + column["ColumnName"].ToString() + "] " + SQLGetType(column);
if (schema.Columns.Contains("AllowDBNull") && (bool)column["AllowDBNull"] == false)
sql += " NOT NULL";
sql += ",\n";
}
}
sql = sql.TrimEnd(new char[] { ',', '\n' }) + "\n";
// primary keys
string pk = ", CONSTRAINT PK_" + tableName + " PRIMARY KEY CLUSTERED (";
bool hasKeys = (primaryKeys != null && primaryKeys.Length > 0);
if (hasKeys)
{
// user defined keys
foreach (int key in primaryKeys)
{
pk += schema.Rows[key]["ColumnName"].ToString() + ", ";
}
}
else
{
// check schema for keys
string keys = string.Join(", ", GetPrimaryKeys(schema));
pk += keys;
hasKeys = keys.Length > 0;
}
pk = pk.TrimEnd(new char[] { ',', ' ', '\n' }) + ")\n";
if (hasKeys) sql += pk;
sql += ")";
return sql;
}
public static string GetCreateFromDataTableSQL(string tableName, DataTable table)
{
string sql = "CREATE TABLE [" + tableName + "] (\n";
// columns
foreach (DataColumn column in table.Columns)
{
sql += "[" + column.ColumnName + "] " + SQLGetType(column) + ",\n";
}
sql = sql.TrimEnd(new char[] { ',', '\n' }) + "\n";
// primary keys
if (table.PrimaryKey.Length > 0)
{
sql += "CONSTRAINT [PK_" + tableName + "] PRIMARY KEY CLUSTERED (";
foreach (DataColumn column in table.PrimaryKey)
{
sql += "[" + column.ColumnName + "],";
}
sql = sql.TrimEnd(new char[] { ',' }) + "))\n";
}
//if not ends with ")"
if ((table.PrimaryKey.Length == 0) && (!sql.EndsWith(")")))
{
sql += ")";
}
return sql;
}
public static string[] GetPrimaryKeys(DataTable schema)
{
List<string> keys = new List<string>();
foreach (DataRow column in schema.Rows)
{
if (schema.Columns.Contains("IsKey") && (bool)column["IsKey"])
keys.Add(column["ColumnName"].ToString());
}
return keys.ToArray();
}
// Return T-SQL data type definition, based on schema definition for a column
public static string SQLGetType(object type, int columnSize, int numericPrecision, int numericScale)
{
switch (type.ToString())
{
case "System.String":
return "VARCHAR(" + ((columnSize == -1) ? "255" : (columnSize > 8000) ? "MAX" : columnSize.ToString() ) + ")";
case "System.Decimal":
if (numericScale > 0)
return "REAL";
else if (numericPrecision > 10)
return "BIGINT";
else
return "INT";
case "System.Double":
case "System.Single":
return "REAL";
case "System.Int64":
return "BIGINT";
case "System.Int16":
case "System.Int32":
return "INT";
case "System.DateTime":
return "DATETIME";
case "System.Boolean":
return "BIT";
case "System.Byte":
return "TINYINT";
case "System.Guid":
return "UNIQUEIDENTIFIER";
default:
throw new Exception(type.ToString() + " not implemented.");
}
}
// Overload based on row from schema table
public static string SQLGetType(DataRow schemaRow)
{
return SQLGetType(schemaRow["DataType"],
int.Parse(schemaRow["ColumnSize"].ToString()),
int.Parse(schemaRow["NumericPrecision"].ToString()),
int.Parse(schemaRow["NumericScale"].ToString()));
}
// Overload based on DataColumn from DataTable type
public static string SQLGetType(DataColumn column)
{
return SQLGetType(column.DataType, column.MaxLength, 10, 2);
}
#endregion
}
}
然后我会使用 SQL BulkCopy 而不是单独的 INSERT 语句。
public static void BulkInsertDataTable(string connectionString, string tableName, DataTable table)
{
using (SqlConnection connection = new SqlConnection(connectionString))
{
SqlBulkCopy bulkCopy =
new SqlBulkCopy
(
connection,
SqlBulkCopyOptions.TableLock |
SqlBulkCopyOptions.FireTriggers |
SqlBulkCopyOptions.UseInternalTransaction,
null
);
bulkCopy.DestinationTableName = tableName;
connection.Open();
bulkCopy.WriteToServer(table);
connection.Close();
}
}
public void createsqltable(DataTable dt,string tablename)
{
string strconnection = "";
string table = "";
table += "IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[" + tablename + "]') AND type in (N'U'))";
table += "BEGIN ";
table += "create table " + tablename + "";
table += "(";
for (int i = 0; i < dt.Columns.Count; i++)
{
if (i != dt.Columns.Count-1)
table += $"[{dt.Columns[i].ColumnName}] varchar(max),";
else
table += $"[{dt.Columns[i].ColumnName}] varchar(max)";
}
table += ") ";
table += "END";
InsertQuery(table,strconnection);
CopyData(strconnection, dt, tablename);
}
public void InsertQuery(string qry,string connection)
{
SqlConnection _connection = new SqlConnection(connection);
SqlCommand cmd = new SqlCommand();
cmd.CommandType = CommandType.Text;
cmd.CommandText = qry;
cmd.Connection = _connection;
_connection.Open();
cmd.ExecuteNonQuery();
_connection.Close();
}
public static void CopyData(string connStr, DataTable dt, string tablename)
{
using (SqlBulkCopy bulkCopy =
new SqlBulkCopy(connStr, SqlBulkCopyOptions.TableLock))
{
bulkCopy.DestinationTableName = tablename;
bulkCopy.WriteToServer(dt);
}
}
本质上,代码是循环遍历DataTable.Columns集合来生成INSERT语句的列列表。然后它循环遍历 DataTable 的值以创建带有值的参数。
如果您想从表格创建
insert
脚本,请使用我创建的工具。
这将根据给定的条件在多个表上创建 Insert
脚本:
IF NOT EXISTS (Select 1 from Table1 WHERE Col1='Col1' AND Col2='Col2')
INSERT INTO Table1 (Col1,Col2,Col3,Col4) VALUES (1,'abc',null,'2012-01-01')
这是链接:http://www.codeproject.com/Tips/330864/Generate-Insert-script-to-extract-data