我正在寻找插入实体框架的最快方法。
我之所以问这个问题,是因为您有一个活动的TransactionScope,并且插入量很大(4000+)。它可能会持续超过10分钟(事务的默认超时),这将导致事务不完整。
我正在寻找插入实体框架的最快方法。
我之所以问这个问题,是因为您有一个活动的TransactionScope,并且插入量很大(4000+)。它可能会持续超过10分钟(事务的默认超时),这将导致事务不完整。
当前回答
我对上面的@Slauma示例进行了一个通用扩展;
public static class DataExtensions
{
public static DbContext AddToContext<T>(this DbContext context, object entity, int count, int commitCount, bool recreateContext, Func<DbContext> contextCreator)
{
context.Set(typeof(T)).Add((T)entity);
if (count % commitCount == 0)
{
context.SaveChanges();
if (recreateContext)
{
context.Dispose();
context = contextCreator.Invoke();
context.Configuration.AutoDetectChangesEnabled = false;
}
}
return context;
}
}
用法:
public void AddEntities(List<YourEntity> entities)
{
using (var transactionScope = new TransactionScope())
{
DbContext context = new YourContext();
int count = 0;
foreach (var entity in entities)
{
++count;
context = context.AddToContext<TenancyNote>(entity, count, 100, true,
() => new YourContext());
}
context.SaveChanges();
transactionScope.Complete();
}
}
其他回答
我知道这是一个非常古老的问题,但这里的一个家伙说,他开发了一个扩展方法,可以在EF中使用批量插入,当我检查时,我发现这个库今天的价格是599美元(对于一个开发人员来说)。也许对于整个库来说这是有意义的,但是对于大容量插入来说这太多了。
这是我做的一个非常简单的扩展方法。我首先将其与数据库配对使用(不首先使用代码进行测试,但我认为这是一样的)。使用上下文名称更改YourEntitys:
public partial class YourEntities : DbContext
{
public async Task BulkInsertAllAsync<T>(IEnumerable<T> entities)
{
using (var conn = new SqlConnection(Database.Connection.ConnectionString))
{
await conn.OpenAsync();
Type t = typeof(T);
var bulkCopy = new SqlBulkCopy(conn)
{
DestinationTableName = GetTableName(t)
};
var table = new DataTable();
var properties = t.GetProperties().Where(p => p.PropertyType.IsValueType || p.PropertyType == typeof(string));
foreach (var property in properties)
{
Type propertyType = property.PropertyType;
if (propertyType.IsGenericType &&
propertyType.GetGenericTypeDefinition() == typeof(Nullable<>))
{
propertyType = Nullable.GetUnderlyingType(propertyType);
}
table.Columns.Add(new DataColumn(property.Name, propertyType));
}
foreach (var entity in entities)
{
table.Rows.Add(
properties.Select(property => property.GetValue(entity, null) ?? DBNull.Value).ToArray());
}
bulkCopy.BulkCopyTimeout = 0;
await bulkCopy.WriteToServerAsync(table);
}
}
public void BulkInsertAll<T>(IEnumerable<T> entities)
{
using (var conn = new SqlConnection(Database.Connection.ConnectionString))
{
conn.Open();
Type t = typeof(T);
var bulkCopy = new SqlBulkCopy(conn)
{
DestinationTableName = GetTableName(t)
};
var table = new DataTable();
var properties = t.GetProperties().Where(p => p.PropertyType.IsValueType || p.PropertyType == typeof(string));
foreach (var property in properties)
{
Type propertyType = property.PropertyType;
if (propertyType.IsGenericType &&
propertyType.GetGenericTypeDefinition() == typeof(Nullable<>))
{
propertyType = Nullable.GetUnderlyingType(propertyType);
}
table.Columns.Add(new DataColumn(property.Name, propertyType));
}
foreach (var entity in entities)
{
table.Rows.Add(
properties.Select(property => property.GetValue(entity, null) ?? DBNull.Value).ToArray());
}
bulkCopy.BulkCopyTimeout = 0;
bulkCopy.WriteToServer(table);
}
}
public string GetTableName(Type type)
{
var metadata = ((IObjectContextAdapter)this).ObjectContext.MetadataWorkspace;
var objectItemCollection = ((ObjectItemCollection)metadata.GetItemCollection(DataSpace.OSpace));
var entityType = metadata
.GetItems<EntityType>(DataSpace.OSpace)
.Single(e => objectItemCollection.GetClrType(e) == type);
var entitySet = metadata
.GetItems<EntityContainer>(DataSpace.CSpace)
.Single()
.EntitySets
.Single(s => s.ElementType.Name == entityType.Name);
var mapping = metadata.GetItems<EntityContainerMapping>(DataSpace.CSSpace)
.Single()
.EntitySetMappings
.Single(s => s.EntitySet == entitySet);
var table = mapping
.EntityTypeMappings.Single()
.Fragments.Single()
.StoreEntitySet;
return (string)table.MetadataProperties["Table"].Value ?? table.Name;
}
}
您可以对继承自IEnumerable的任何集合使用它,如下所示:
await context.BulkInsertAllAsync(items);
使用SqlBulkCopy:
void BulkInsert(GpsReceiverTrack[] gpsReceiverTracks)
{
if (gpsReceiverTracks == null)
{
throw new ArgumentNullException(nameof(gpsReceiverTracks));
}
DataTable dataTable = new DataTable("GpsReceiverTracks");
dataTable.Columns.Add("ID", typeof(int));
dataTable.Columns.Add("DownloadedTrackID", typeof(int));
dataTable.Columns.Add("Time", typeof(TimeSpan));
dataTable.Columns.Add("Latitude", typeof(double));
dataTable.Columns.Add("Longitude", typeof(double));
dataTable.Columns.Add("Altitude", typeof(double));
for (int i = 0; i < gpsReceiverTracks.Length; i++)
{
dataTable.Rows.Add
(
new object[]
{
gpsReceiverTracks[i].ID,
gpsReceiverTracks[i].DownloadedTrackID,
gpsReceiverTracks[i].Time,
gpsReceiverTracks[i].Latitude,
gpsReceiverTracks[i].Longitude,
gpsReceiverTracks[i].Altitude
}
);
}
string connectionString = (new TeamTrackerEntities()).Database.Connection.ConnectionString;
using (var connection = new SqlConnection(connectionString))
{
connection.Open();
using (var transaction = connection.BeginTransaction())
{
using (var sqlBulkCopy = new SqlBulkCopy(connection, SqlBulkCopyOptions.TableLock, transaction))
{
sqlBulkCopy.DestinationTableName = dataTable.TableName;
foreach (DataColumn column in dataTable.Columns)
{
sqlBulkCopy.ColumnMappings.Add(column.ColumnName, column.ColumnName);
}
sqlBulkCopy.WriteToServer(dataTable);
}
transaction.Commit();
}
}
return;
}
SqlBulkCopy速度极快
这是我的实现:
// at some point in my calling code, I will call:
var myDataTable = CreateMyDataTable();
myDataTable.Rows.Add(Guid.NewGuid,tableHeaderId,theName,theValue); // e.g. - need this call for each row to insert
var efConnectionString = ConfigurationManager.ConnectionStrings["MyWebConfigEfConnection"].ConnectionString;
var efConnectionStringBuilder = new EntityConnectionStringBuilder(efConnectionString);
var connectionString = efConnectionStringBuilder.ProviderConnectionString;
BulkInsert(connectionString, myDataTable);
private DataTable CreateMyDataTable()
{
var myDataTable = new DataTable { TableName = "MyTable"};
// this table has an identity column - don't need to specify that
myDataTable.Columns.Add("MyTableRecordGuid", typeof(Guid));
myDataTable.Columns.Add("MyTableHeaderId", typeof(int));
myDataTable.Columns.Add("ColumnName", typeof(string));
myDataTable.Columns.Add("ColumnValue", typeof(string));
return myDataTable;
}
private void BulkInsert(string connectionString, DataTable dataTable)
{
using (var connection = new SqlConnection(connectionString))
{
connection.Open();
SqlTransaction transaction = null;
try
{
transaction = connection.BeginTransaction();
using (var sqlBulkCopy = new SqlBulkCopy(connection, SqlBulkCopyOptions.TableLock, transaction))
{
sqlBulkCopy.DestinationTableName = dataTable.TableName;
foreach (DataColumn column in dataTable.Columns) {
sqlBulkCopy.ColumnMappings.Add(column.ColumnName, column.ColumnName);
}
sqlBulkCopy.WriteToServer(dataTable);
}
transaction.Commit();
}
catch (Exception)
{
transaction?.Rollback();
throw;
}
}
}
使用此技术可以提高实体框架中插入记录的速度。这里我使用一个简单的存储过程来插入记录。为了执行这个存储过程,我使用实体框架的.FromSql()方法来执行Raw SQL。
存储过程代码:
CREATE PROCEDURE TestProc
@FirstParam VARCHAR(50),
@SecondParam VARCHAR(50)
AS
Insert into SomeTable(Name, Address) values(@FirstParam, @SecondParam)
GO
接下来,循环遍历所有4000条记录,并添加执行存储的
该过程每100次循环一次。
为此,我创建了一个字符串查询来执行这个过程,并继续将每一组记录附加到它。
然后检查循环是否以100的倍数运行,在这种情况下,使用.FromSql()执行它。
所以对于4000条记录,我只需要执行以下步骤4000/100=40次。
检查以下代码:
string execQuery = "";
var context = new MyContext();
for (int i = 0; i < 4000; i++)
{
execQuery += "EXEC TestProc @FirstParam = 'First'" + i + "'', @SecondParam = 'Second'" + i + "''";
if (i % 100 == 0)
{
context.Student.FromSql(execQuery);
execQuery = "";
}
}
您应该考虑为此使用System.Data.SqlClient.SqlBulkCopy。这是文档,当然还有很多在线教程。
抱歉,我知道您正在寻找一个简单的答案来让EF做您想做的事情,但批量操作并不是ORM真正的用途。