标签:stat handle should 框架 option 时间 date 为我 ida
关于 SqlServer 批量插入的方式,前段时间也有大神给出了好几种批量插入的方式及对比测试(http://www.cnblogs.com/jiekzou/p/6145550.html),估计大家也都明白,最佳的方式就是用 SqlBulkCopy。自从LZ把Chloe.ORM开源以后,有不少园友/群友询问,框架怎么批量插入数据。我的回答是不支持!最后建议他们用 SqlBulkCopy 的方式插入。在我们公司,我对 SqlBulkCopy 封装成了一个 Helper 方法,使得批量插入更加方便,以满足公司内部不少批量插入需求。我也在群里分享了给他们。因为已经有好几位朋友咨询过,所以,我感觉应该还有很多人还没有自己的一个批量插入方法,因此,LZ今儿给大家分享下我封装的这个批量插入方法,希望大家喜欢。
先看看封装后的方法定义:
public static class SqlConnectionExtension
{
/// <summary>
/// 使用 SqlBulkCopy 向 destinationTableName 表插入数据
/// </summary>
/// <typeparam name="TModel">必须拥有与目标表所有字段对应属性</typeparam>
/// <param name="conn"></param>
/// <param name="modelList">要插入的数据</param>
/// <param name="batchSize">SqlBulkCopy.BatchSize</param>
/// <param name="destinationTableName">如果为 null,则使用 TModel 名称作为 destinationTableName</param>
/// <param name="bulkCopyTimeout">SqlBulkCopy.BulkCopyTimeout</param>
/// <param name="externalTransaction">要使用的事务</param>
public static void BulkCopy<TModel>(this SqlConnection conn, List<TModel> modelList, int batchSize, string destinationTableName = null, int? bulkCopyTimeout = null, SqlTransaction externalTransaction = null);
}
上面都有详细解释,相信大家一看就会明白,接下来演示下用法及效果:
先创建一个测试的 Users 表:
1 CREATE TABLE [dbo].[Users]( 2 [Id] [uniqueidentifier] NOT NULL, 3 [Name] [nvarchar](100) NULL, 4 [Gender] [int] NULL, 5 [Age] [int] NULL, 6 [CityId] [int] NULL, 7 [OpTime] [datetime] NULL, 8 CONSTRAINT [PK_Users] PRIMARY KEY CLUSTERED 9 ( 10 [Id] ASC 11 )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] 12 ) ON [PRIMARY]
然后定义一个与表映射的 Model,记住,由于 SqlBulkCopy 的特性,定义的 Model 必须拥有与表所有的字段对应的属性:
1 public enum Gender
2 {
3 Man = 1,
4 Woman
5 }
6
7 public class User
8 {
9 public Guid Id { get; set; }
10 public string Name { get; set; }
11 public Gender? Gender { get; set; }
12 public int? Age { get; set; }
13 public int? CityId { get; set; }
14 public DateTime? OpTime { get; set; }
15 }
制造些数据,然后就可以直接插入了:
1 List<User> usersToInsert = new List<User>();
2 usersToInsert.Add(new User() { Id = Guid.NewGuid(), Name = "so1", Gender = Gender.Man, Age = 18, CityId = 1, OpTime = DateTime.Now });
3 usersToInsert.Add(new User() { Id = Guid.NewGuid(), Name = "so2", Gender = Gender.Man, Age = 19, CityId = 2, OpTime = DateTime.Now });
4 usersToInsert.Add(new User() { Id = Guid.NewGuid(), Name = "so3", Gender = Gender.Man, Age = 20, CityId = 3, OpTime = DateTime.Now });
5 usersToInsert.Add(new User() { Id = Guid.NewGuid(), Name = "so4", Gender = Gender.Man, Age = 21, CityId = 4, OpTime = DateTime.Now });
6
7 using (SqlConnection conn = new SqlConnection("Data Source = .;Initial Catalog = Chloe;Integrated Security = SSPI;"))
8 {
9 conn.BulkCopy(usersToInsert, 20000, "Users");
10 }
执行插入后表数据:
很方便吧,定义好 Model,调用 BulkCopy 方法就能插入了。这个方法主要解决了两个问题:1.免去手动构造 DataTable 和向 DataTable 填充数据,要知道,SqlBulkCopy 要求 DataTable 的列必须和表列顺序一致,如果手动构造 DataTable 的话会使代码很难维护;2.不用亲自 new 出 SqlBulkCopy 对象以及手动给 SqlBulkCopy 对象设置各种值,如 DestinationTableName、BulkCopyTimeout、BatchSize 等,用封装的方法,直接传相应的值就好了。接下来贴干货,简单介绍下实现。
先了解 SqlBulkCopy 的定义(部分):
public sealed class SqlBulkCopy : IDisposable
{
public SqlBulkCopy(SqlConnection connection);
public SqlBulkCopy(string connectionString);
public SqlBulkCopy(string connectionString, SqlBulkCopyOptions copyOptions);
public SqlBulkCopy(SqlConnection connection, SqlBulkCopyOptions copyOptions, SqlTransaction externalTransaction);
public int BatchSize { get; set; }
public int BulkCopyTimeout { get; set; }
public SqlBulkCopyColumnMappingCollection ColumnMappings { get; }
public string DestinationTableName { get; set; }
public bool EnableStreaming { get; set; }
public int NotifyAfter { get; set; }
public event SqlRowsCopiedEventHandler SqlRowsCopied;
public void Close();
public void WriteToServer(DataRow[] rows);
public void WriteToServer(DataTable table);
public void WriteToServer(IDataReader reader);
public void WriteToServer(DataTable table, DataRowState rowState);
}
我们只需关注 WriteToServer 方法。因为我们的数据源不是数据库或excel,所以我们直接不考虑 WriteToServer(IDataReader reader)。WriteToServer(DataRow[] rows) 直接无视,不多解释,所以我们只需考虑用 WriteToServer(DataTable table) 就行了。开干!
一、构造一个结构严谨的 DataTable。
由于 SqlBulkCopy 要求 DataTable 的列必须和表列顺序一致,并且不能多也不能少,所以,我们首先要创建一个和目标表字段顺序一致的 DataTable,先查出目标表的结构:
static List<SysColumn> GetTableColumns(SqlConnection sourceConn, string tableName)
{
string sql = string.Format("select * from syscolumns inner join sysobjects on syscolumns.id=sysobjects.id where sysobjects.xtype=‘U‘ and sysobjects.name=‘{0}‘ order by syscolumns.colid asc", tableName);
List<SysColumn> columns = new List<SysColumn>();
using (SqlConnection conn = (SqlConnection)((ICloneable)sourceConn).Clone())
{
conn.Open();
using (var reader = conn.ExecuteReader(sql))
{
while (reader.Read())
{
SysColumn column = new SysColumn();
column.Name = reader.GetDbValue("name");
column.ColOrder = reader.GetDbValue("colorder");
columns.Add(column);
}
}
conn.Close();
}
return columns;
}
得到基本的表结构 List<SysColumn>,再创建“严格”的 DataTable 对象:
DataTable dt = new DataTable();
Type modelType = typeof(TModel);
List<SysColumn> columns = GetTableColumns(conn, tableName);
List<PropertyInfo> mappingProps = new List<PropertyInfo>();
var props = modelType.GetProperties();
for (int i = 0; i < columns.Count; i++)
{
var column = columns[i];
PropertyInfo mappingProp = props.Where(a => a.Name == column.Name).FirstOrDefault();
if (mappingProp == null)
throw new Exception(string.Format("model 类型 ‘{0}‘未定义与表 ‘{1}‘ 列名为 ‘{2}‘ 映射的属性", modelType.FullName, tableName, column.Name));
mappingProps.Add(mappingProp);
Type dataType = GetUnderlyingType(mappingProp.PropertyType);
if (dataType.IsEnum)
dataType = typeof(int);
dt.Columns.Add(new DataColumn(column.Name, dataType));
}
注意,构造 DataColumn 时,要给 Column 设置 DataType,及数据类型。因为如果不指定数据类型,默认是 string 类型,那样会导致将数据发送至数据库时会引起数据转换,会有些许无谓的性能损耗,同时,如果不指定数据类型,导入一些数据类型时可能会失败,比如模型属性是 Guid 类型,导入时会出现类型转换失败异常。
二、利用反射,获取属性值,构造一行一行的 DataRow,填充 DataTable:
foreach (var model in modelList)
{
DataRow dr = dt.NewRow();
for (int i = 0; i < mappingProps.Count; i++)
{
PropertyInfo prop = mappingProps[i];
object value = prop.GetValue(model);
if (GetUnderlyingType(prop.PropertyType).IsEnum)
{
if (value != null)
value = (int)value;
}
dr[i] = value ?? DBNull.Value;
}
dt.Rows.Add(dr);
}
三、一个完整包含数据的 DataTable 对象就创建好了,我们就可以使用 SqlBulkCopy 插入数据了:
public static void BulkCopy<TModel>(this SqlConnection conn, List<TModel> modelList, int batchSize, string destinationTableName = null, int? bulkCopyTimeout = null, SqlTransaction externalTransaction = null)
{
bool shouldCloseConnection = false;
if (string.IsNullOrEmpty(destinationTableName))
destinationTableName = typeof(TModel).Name;
DataTable dtToWrite = ToSqlBulkCopyDataTable(modelList, conn, destinationTableName);
SqlBulkCopy sbc = null;
try
{
if (externalTransaction != null)
sbc = new SqlBulkCopy(conn, SqlBulkCopyOptions.Default, externalTransaction);
else
sbc = new SqlBulkCopy(conn);
using (sbc)
{
sbc.BatchSize = batchSize;
sbc.DestinationTableName = destinationTableName;
if (bulkCopyTimeout != null)
sbc.BulkCopyTimeout = bulkCopyTimeout.Value;
if (conn.State != ConnectionState.Open)
{
shouldCloseConnection = true;
conn.Open();
}
sbc.WriteToServer(dtToWrite);
}
}
finally
{
if (shouldCloseConnection && conn.State == ConnectionState.Open)
conn.Close();
}
}
完事,一个批量插入的 Helper 方法就这么产生了,最终的完整实现如下:
1 public static class SqlConnectionExtension
2 {
3 /// <summary>
4 /// 使用 SqlBulkCopy 向 destinationTableName 表插入数据
5 /// </summary>
6 /// <typeparam name="TModel">必须拥有与目标表所有字段对应属性</typeparam>
7 /// <param name="conn"></param>
8 /// <param name="modelList">要插入的数据</param>
9 /// <param name="batchSize">SqlBulkCopy.BatchSize</param>
10 /// <param name="destinationTableName">如果为 null,则使用 TModel 名称作为 destinationTableName</param>
11 /// <param name="bulkCopyTimeout">SqlBulkCopy.BulkCopyTimeout</param>
12 /// <param name="externalTransaction">要使用的事务</param>
13 public static void BulkCopy<TModel>(this SqlConnection conn, List<TModel> modelList, int batchSize, string destinationTableName = null, int? bulkCopyTimeout = null, SqlTransaction externalTransaction = null)
14 {
15 bool shouldCloseConnection = false;
16
17 if (string.IsNullOrEmpty(destinationTableName))
18 destinationTableName = typeof(TModel).Name;
19
20 DataTable dtToWrite = ToSqlBulkCopyDataTable(modelList, conn, destinationTableName);
21
22 SqlBulkCopy sbc = null;
23
24 try
25 {
26 if (externalTransaction != null)
27 sbc = new SqlBulkCopy(conn, SqlBulkCopyOptions.Default, externalTransaction);
28 else
29 sbc = new SqlBulkCopy(conn);
30
31 using (sbc)
32 {
33 sbc.BatchSize = batchSize;
34 sbc.DestinationTableName = destinationTableName;
35
36 if (bulkCopyTimeout != null)
37 sbc.BulkCopyTimeout = bulkCopyTimeout.Value;
38
39 if (conn.State != ConnectionState.Open)
40 {
41 shouldCloseConnection = true;
42 conn.Open();
43 }
44
45 sbc.WriteToServer(dtToWrite);
46 }
47 }
48 finally
49 {
50 if (shouldCloseConnection && conn.State == ConnectionState.Open)
51 conn.Close();
52 }
53 }
54
55 public static DataTable ToSqlBulkCopyDataTable<TModel>(List<TModel> modelList, SqlConnection conn, string tableName)
56 {
57 DataTable dt = new DataTable();
58
59 Type modelType = typeof(TModel);
60
61 List<SysColumn> columns = GetTableColumns(conn, tableName);
62 List<PropertyInfo> mappingProps = new List<PropertyInfo>();
63
64 var props = modelType.GetProperties();
65 for (int i = 0; i < columns.Count; i++)
66 {
67 var column = columns[i];
68 PropertyInfo mappingProp = props.Where(a => a.Name == column.Name).FirstOrDefault();
69 if (mappingProp == null)
70 throw new Exception(string.Format("model 类型 ‘{0}‘未定义与表 ‘{1}‘ 列名为 ‘{2}‘ 映射的属性", modelType.FullName, tableName, column.Name));
71
72 mappingProps.Add(mappingProp);
73 Type dataType = GetUnderlyingType(mappingProp.PropertyType);
74 if (dataType.IsEnum)
75 dataType = typeof(int);
76 dt.Columns.Add(new DataColumn(column.Name, dataType));
77 }
78
79 foreach (var model in modelList)
80 {
81 DataRow dr = dt.NewRow();
82 for (int i = 0; i < mappingProps.Count; i++)
83 {
84 PropertyInfo prop = mappingProps[i];
85 object value = prop.GetValue(model);
86
87 if (GetUnderlyingType(prop.PropertyType).IsEnum)
88 {
89 if (value != null)
90 value = (int)value;
91 }
92
93 dr[i] = value ?? DBNull.Value;
94 }
95
96 dt.Rows.Add(dr);
97 }
98
99 return dt;
100 }
101 static List<SysColumn> GetTableColumns(SqlConnection sourceConn, string tableName)
102 {
103 string sql = string.Format("select * from syscolumns inner join sysobjects on syscolumns.id=sysobjects.id where sysobjects.xtype=‘U‘ and sysobjects.name=‘{0}‘ order by syscolumns.colid asc", tableName);
104
105 List<SysColumn> columns = new List<SysColumn>();
106 using (SqlConnection conn = (SqlConnection)((ICloneable)sourceConn).Clone())
107 {
108 conn.Open();
109 using (var reader = conn.ExecuteReader(sql))
110 {
111 while (reader.Read())
112 {
113 SysColumn column = new SysColumn();
114 column.Name = reader.GetDbValue("name");
115 column.ColOrder = reader.GetDbValue("colorder");
116
117 columns.Add(column);
118 }
119 }
120 conn.Close();
121 }
122
123 return columns;
124 }
125
126 static Type GetUnderlyingType(Type type)
127 {
128 Type unType = Nullable.GetUnderlyingType(type); ;
129 if (unType == null)
130 unType = type;
131
132 return unType;
133 }
134
135 class SysColumn
136 {
137 public string Name { get; set; }
138 public int ColOrder { get; set; }
139 }
140 }
141
代码不多,仅仅150行,大家可以直接拷走拿去用。其中用了反射,估计吃瓜群众可能不淡定了~哈哈,如果你真有大数据插入需求,这点反射消耗相对大数据插入简直九牛一毛,微乎其微,放心好了。
转自:https://www.cnblogs.com/so9527/p/6193154.html
标签:stat handle should 框架 option 时间 date 为我 ida
原文地址:https://www.cnblogs.com/zhangShanGui/p/12038727.html