Rah*_*eed 1 c# sql-server parallel-processing ado.net parallel.foreach
我们有一个对象(XML或JSON),我们成功地将它映射到DTO,在我们的数据库中插入需要太长时间(5~7分钟),所以我们经历了Parallel.ForEach,但最终,我们注意到有一些数据输入不正确,就像Category所有具有相同名称的项目一样,但其他不同的属性是100%正确的,在其他情况下,我们注意到所有数据在一个类别中是相同的,但是,提供的JSON对象没有.
我承认它是如此之快,它需要不到一分钟,但插入错误,看看下面使用的代码:
JSON
[
{
"CategoryId": 1,
"CategoryName": "Drinks",
"SortOrder": 1,
"Products": [
{
"ProductId": 100,
"ProductName": "Black Tea",
"SortOrder": 1,
"Price": 5,
"Choices": []
},
{
"ProductId": 101,
"ProductName": "Turkish Coffee",
"SortOrder": 2,
"Price": 7.5,
"Choices": []
},
{
"ProductId": 102,
"ProductName": "Green Tea",
"SortOrder": 3,
"Price": 6,
"Choices": []
},
{
"ProductId": 103,
"ProductName": "Café Latte Medium",
"SortOrder": 4,
"Price": 10,
"Choices": []
},
{
"ProductId": 104,
"ProductName": "Orange Juice",
"SortOrder": 5,
"Price": 11,
"Choices": []
},
{
"ProductId": 105,
"ProductName": "Mixed Berry Juice",
"SortOrder": 6,
"Price": 12.5,
"Choices": []
}
]
},
{
"CategoryId": 1,
"CategoryName": "Meals",
"SortOrder": 1,
"Products": [
{
"ProductId": 200,
"ProductName": "Breakfast Meal",
"SortOrder": 1,
"Price": 16,
"Choices": [
{
"ChoiceId": 3000,
"ChoiceName": "Strawberry Jam",
"SortOrder": 1,
"Price": 0
},
{
"ChoiceId": 3001,
"ChoiceName": "Apricot Jam",
"SortOrder": 2,
"Price": 0
},
{
"ChoiceId": 3002,
"ChoiceName": "Orange Jam",
"SortOrder": 3,
"Price": 0
},
{
"ChoiceId": 3003,
"ChoiceName": "Café Latte",
"SortOrder": 4,
"Price": 2
}
]
},
{
"ProductId": 201,
"ProductName": "Mixed Grill",
"SortOrder": 1,
"Price": 30,
"Choices": [
{
"ChoiceId": 3004,
"ChoiceName": "Moutabal",
"SortOrder": 1,
"Price": 0
},
{
"ChoiceId": 3005,
"ChoiceName": "Mineral Water",
"SortOrder": 2,
"Price": 0
},
{
"ChoiceId": 3006,
"ChoiceName": "French Fries",
"SortOrder": 2,
"Price": 0
},
{
"ChoiceId": 3007,
"ChoiceName": "Grilled Potatoes",
"SortOrder": 2,
"Price": 0
}
]
}
]
}
]
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C#代码
Parallel.ForEach(categories, (category) =>
{
var newCreatedCategoryId = 0;
using (var connection = new SqlConnection("CONNECTION_STRING_HERE"))
{
connection.Open();
using (var command = new SqlCommand("SP_INSERT_INTO_CATEGORIES", connection))
{
command.CommandType = CommandType.StoredProcedure;
command.Parameters.AddWithValue("@P1", category.CategoryName);
command.Parameters.AddWithValue("@P2", category.SortOrder);
newCreatedCategoryId = int.Parse(command.ExecuteScalar().ToString());
command.Dispose();
}
connection.Close();
}
if (newCreatedCategoryId > 0)
{
Parallel.ForEach(category.Products, (product) =>
{
using (var connection = new SqlConnection("CONNECTION_STRING_HERE"))
{
connection.Open();
using (var command = new SqlCommand("SP_INSERT_INTO_PRODUCTS", connection))
{
command.CommandType = CommandType.StoredProcedure;
command.Parameters.AddWithValue("@P1", product.ProductName);
command.Parameters.AddWithValue("@P2", product.Price);
command.Parameters.AddWithValue("@P3", product.SortOrder);
command.Parameters.AddWithValue("@P4", newCreatedCategoryId);
command.ExecuteNonQuery();
command.Dispose();
}
connection.Close();
}
});
}
});
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我在这里看一下,但这不是我们的问题,我们已经SCOPE_IDENTITY()在使用当前执行范围内获取最后生成的标识.
另一方面,即使没有,也不允许使用SqlBulkCopy插入此数据量TableLock.
它的newCreatedCategoryId,这是问题,什么是困惑我是为什么你正在呼吁newCreatedCategoryId = int.Parse(command.ExecuteScalar().ToString());在内部循环一次.我的意思是,如果它只是一个类别的id,它不需要再次增加.
看看下面的编辑.你可能也会更好地把第二个Parallel.ForEach放入标准foreach我意味着这无论如何都是并行工作.最后,Parallel.ForEach并不适合IO任务,正确的模式是异步和等待.说你可以使用TPL Dataflow中的ActionBlock来充分利用两全其美的优势.看一下这个问题中的数据流示例,我回答快速下载1,000多个文件?
Parallel.ForEach(categories, (category) =>
{
var newCreatedCategoryId = 0;
using (var connection = new SqlConnection("CONNECTION_STRING_HERE"))
{
connection.Open();
using (var command = new SqlCommand("SP_INSERT_INTO_CATEGORIES", connection))
{
command.CommandType = CommandType.StoredProcedure;
command.Parameters.AddWithValue("@P1", category.CategoryName);
command.Parameters.AddWithValue("@P2", category.SortOrder);
newCreatedCategoryId = int.Parse(command.ExecuteScalar().ToString());
command.Dispose();
}
connection.Close();
}
if (newCreatedCategoryId > 0)
{
foreach(product in category.Products)
{
using (var connection = new SqlConnection("CONNECTION_STRING_HERE"))
{
connection.Open();
using (var command = new SqlCommand("SP_INSERT_INTO_PRODUCTS", connection))
{
command.CommandType = CommandType.StoredProcedure;
command.Parameters.AddWithValue("@P1", product.ProductName);
command.Parameters.AddWithValue("@P2", product.Price);
command.Parameters.AddWithValue("@P3", product.SortOrder);
command.Parameters.AddWithValue("@P4", newCreatedCategoryId);
command.Dispose();
}
connection.Close();
}
}//);
}
});
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